SYMBOL INDEX (327 symbols across 56 files)

FILE: private_gpt/components/embedding/custom/sagemaker.py
  class SagemakerEmbedding (line 10) | class SagemakerEmbedding(BaseEmbedding):
    method class_name (line 37) | def class_name(cls) -> str:
    method _async_not_implemented_warn_once (line 40) | def _async_not_implemented_warn_once(self) -> None:
    method _embed (line 45) | def _embed(self, sentences: list[str]) -> list[list[float]]:
    method _get_query_embedding (line 62) | def _get_query_embedding(self, query: str) -> list[float]:
    method _aget_query_embedding (line 66) | async def _aget_query_embedding(self, query: str) -> list[float]:
    method _aget_text_embedding (line 71) | async def _aget_text_embedding(self, text: str) -> list[float]:
    method _get_text_embedding (line 76) | def _get_text_embedding(self, text: str) -> list[float]:
    method _get_text_embeddings (line 80) | def _get_text_embeddings(self, texts: list[str]) -> list[list[float]]:

FILE: private_gpt/components/embedding/embedding_component.py
  class EmbeddingComponent (line 13) | class EmbeddingComponent:
    method __init__ (line 17) | def __init__(self, settings: Settings) -> None:

FILE: private_gpt/components/ingest/ingest_component.py
  class BaseIngestComponent (line 28) | class BaseIngestComponent(abc.ABC):
    method __init__ (line 29) | def __init__(
    method ingest (line 43) | def ingest(self, file_name: str, file_data: Path) -> list[Document]:
    method bulk_ingest (line 47) | def bulk_ingest(self, files: list[tuple[str, Path]]) -> list[Document]:
    method delete (line 51) | def delete(self, doc_id: str) -> None:
  class BaseIngestComponentWithIndex (line 55) | class BaseIngestComponentWithIndex(BaseIngestComponent, abc.ABC):
    method __init__ (line 56) | def __init__(
    method _initialize_index (line 72) | def _initialize_index(self) -> BaseIndex[IndexDict]:
    method _save_index (line 97) | def _save_index(self) -> None:
    method delete (line 100) | def delete(self, doc_id: str) -> None:
  class SimpleIngestComponent (line 109) | class SimpleIngestComponent(BaseIngestComponentWithIndex):
    method __init__ (line 110) | def __init__(
    method ingest (line 120) | def ingest(self, file_name: str, file_data: Path) -> list[Document]:
    method bulk_ingest (line 129) | def bulk_ingest(self, files: list[tuple[str, Path]]) -> list[Document]:
    method _save_docs (line 138) | def _save_docs(self, documents: list[Document]) -> list[Document]:
  class BatchIngestComponent (line 150) | class BatchIngestComponent(BaseIngestComponentWithIndex):
    method __init__ (line 156) | def __init__(
    method ingest (line 178) | def ingest(self, file_name: str, file_data: Path) -> list[Document]:
    method bulk_ingest (line 187) | def bulk_ingest(self, files: list[tuple[str, Path]]) -> list[Document]:
    method _save_docs (line 202) | def _save_docs(self, documents: list[Document]) -> list[Document]:
  class ParallelizedIngestComponent (line 224) | class ParallelizedIngestComponent(BaseIngestComponentWithIndex):
    method __init__ (line 231) | def __init__(
    method ingest (line 260) | def ingest(self, file_name: str, file_data: Path) -> list[Document]:
    method bulk_ingest (line 273) | def bulk_ingest(self, files: list[tuple[str, Path]]) -> list[Document]:
    method _save_docs (line 284) | def _save_docs(self, documents: list[Document]) -> list[Document]:
    method __del__ (line 305) | def __del__(self) -> None:
  class PipelineIngestComponent (line 319) | class PipelineIngestComponent(BaseIngestComponentWithIndex):
    method __init__ (line 338) | def __init__(
    method _doc_to_node (line 377) | def _doc_to_node(self) -> None:
    method _doc_to_node_worker (line 398) | def _doc_to_node_worker(self, file_name: str, documents: list[Document...
    method _save_docs (line 411) | def _save_docs(
    method _write_nodes (line 433) | def _write_nodes(self) -> None:
    method _flush (line 456) | def _flush(self) -> None:
    method ingest (line 462) | def ingest(self, file_name: str, file_data: Path) -> list[Document]:
    method bulk_ingest (line 468) | def bulk_ingest(self, files: list[tuple[str, Path]]) -> list[Document]:
  function get_ingestion_component (line 483) | def get_ingestion_component(

FILE: private_gpt/components/ingest/ingest_helper.py
  function _try_loading_included_file_formats (line 13) | def _try_loading_included_file_formats() -> dict[str, type[BaseReader]]:
  class IngestionHelper (line 63) | class IngestionHelper:
    method transform_file_into_documents (line 71) | def transform_file_into_documents(
    method _load_file_to_documents (line 81) | def _load_file_to_documents(file_name: str, file_data: Path) -> list[D...
    method _exclude_metadata (line 104) | def _exclude_metadata(documents: list[Document]) -> None:

FILE: private_gpt/components/llm/custom/sagemaker.py
  class LineIterator (line 39) | class LineIterator:
    method __init__ (line 68) | def __init__(self, stream: Any) -> None:
    method __iter__ (line 74) | def __iter__(self) -> Any:
    method __next__ (line 78) | def __next__(self) -> Any:
  class SagemakerLLM (line 99) | class SagemakerLLM(CustomLLM):
    method __init__ (line 141) | def __init__(
    method inference_params (line 180) | def inference_params(self):
    method metadata (line 191) | def metadata(self) -> LLMMetadata:
    method complete (line 200) | def complete(self, prompt: str, **kwargs: Any) -> CompletionResponse:
    method stream_complete (line 228) | def stream_complete(self, prompt: str, **kwargs: Any) -> CompletionRes...
    method chat (line 265) | def chat(self, messages: Sequence[ChatMessage], **kwargs: Any) -> Chat...
    method stream_chat (line 271) | def stream_chat(

FILE: private_gpt/components/llm/llm_component.py
  class LLMComponent (line 19) | class LLMComponent:
    method __init__ (line 23) | def __init__(self, settings: Settings) -> None:

FILE: private_gpt/components/llm/prompt_helper.py
  class AbstractPromptStyle (line 11) | class AbstractPromptStyle(abc.ABC):
    method __init__ (line 27) | def __init__(self, *args: Any, **kwargs: Any) -> None:
    method _messages_to_prompt (line 31) | def _messages_to_prompt(self, messages: Sequence[ChatMessage]) -> str:
    method _completion_to_prompt (line 35) | def _completion_to_prompt(self, completion: str) -> str:
    method messages_to_prompt (line 38) | def messages_to_prompt(self, messages: Sequence[ChatMessage]) -> str:
    method completion_to_prompt (line 43) | def completion_to_prompt(self, prompt: str) -> str:
  class DefaultPromptStyle (line 50) | class DefaultPromptStyle(AbstractPromptStyle):
    method __init__ (line 57) | def __init__(self, *args: Any, **kwargs: Any) -> None:
    method _messages_to_prompt (line 65) | def _messages_to_prompt(self, messages: Sequence[ChatMessage]) -> str:
    method _completion_to_prompt (line 68) | def _completion_to_prompt(self, completion: str) -> str:
  class Llama2PromptStyle (line 72) | class Llama2PromptStyle(AbstractPromptStyle):
    method _messages_to_prompt (line 95) | def _messages_to_prompt(self, messages: Sequence[ChatMessage]) -> str:
    method _completion_to_prompt (line 133) | def _completion_to_prompt(self, completion: str) -> str:
  class Llama3PromptStyle (line 142) | class Llama3PromptStyle(AbstractPromptStyle):
    method _messages_to_prompt (line 172) | def _messages_to_prompt(self, messages: Sequence[ChatMessage]) -> str:
    method _completion_to_prompt (line 200) | def _completion_to_prompt(self, completion: str) -> str:
  class TagPromptStyle (line 208) | class TagPromptStyle(AbstractPromptStyle):
    method _messages_to_prompt (line 222) | def _messages_to_prompt(self, messages: Sequence[ChatMessage]) -> str:
    method _completion_to_prompt (line 235) | def _completion_to_prompt(self, completion: str) -> str:
  class MistralPromptStyle (line 241) | class MistralPromptStyle(AbstractPromptStyle):
    method _messages_to_prompt (line 242) | def _messages_to_prompt(self, messages: Sequence[ChatMessage]) -> str:
    method _completion_to_prompt (line 260) | def _completion_to_prompt(self, completion: str) -> str:
  class ChatMLPromptStyle (line 266) | class ChatMLPromptStyle(AbstractPromptStyle):
    method _messages_to_prompt (line 267) | def _messages_to_prompt(self, messages: Sequence[ChatMessage]) -> str:
    method _completion_to_prompt (line 282) | def _completion_to_prompt(self, completion: str) -> str:
  function get_prompt_style (line 288) | def get_prompt_style(

FILE: private_gpt/components/node_store/node_store_component.py
  class NodeStoreComponent (line 15) | class NodeStoreComponent:
    method __init__ (line 20) | def __init__(self, settings: Settings) -> None:

FILE: private_gpt/components/vector_store/batched_chroma.py
  function chunk_list (line 12) | def chunk_list(
  class BatchedChromaVectorStore (line 28) | class BatchedChromaVectorStore(ChromaVectorStore):  # type: ignore
    method __init__ (line 46) | def __init__(
    method add (line 66) | def add(self, nodes: Sequence[BaseNode], **add_kwargs: Any) -> list[str]:

FILE: private_gpt/components/vector_store/vector_store_component.py
  function _doc_id_metadata_filter (line 20) | def _doc_id_metadata_filter(
  class VectorStoreComponent (line 33) | class VectorStoreComponent:
    method __init__ (line 38) | def __init__(self, settings: Settings) -> None:
    method get_retriever (line 197) | def get_retriever(
    method close (line 215) | def close(self) -> None:

FILE: private_gpt/di.py
  function create_application_injector (line 6) | def create_application_injector() -> Injector:

FILE: private_gpt/launcher.py
  function create_app (line 24) | def create_app(root_injector: Injector) -> FastAPI:

FILE: private_gpt/open_ai/extensions/context_filter.py
  class ContextFilter (line 4) | class ContextFilter(BaseModel):

FILE: private_gpt/open_ai/openai_models.py
  class OpenAIDelta (line 12) | class OpenAIDelta(BaseModel):
  class OpenAIMessage (line 18) | class OpenAIMessage(BaseModel):
  class OpenAIChoice (line 29) | class OpenAIChoice(BaseModel):
  class OpenAICompletion (line 43) | class OpenAICompletion(BaseModel):
    method from_text (line 56) | def from_text(
    method json_from_delta (line 77) | def json_from_delta(
  function to_openai_response (line 101) | def to_openai_response(
  function to_openai_sse_stream (line 112) | def to_openai_sse_stream(

FILE: private_gpt/paths.py
  function _absolute_or_from_project_root (line 7) | def _absolute_or_from_project_root(path: str) -> Path:

FILE: private_gpt/server/chat/chat_router.py
  class ChatBody (line 19) | class ChatBody(BaseModel):
  function chat_completion (line 65) | def chat_completion(

FILE: private_gpt/server/chat/chat_service.py
  class Completion (line 34) | class Completion(BaseModel):
  class CompletionGen (line 39) | class CompletionGen(BaseModel):
  class ChatEngineInput (line 45) | class ChatEngineInput:
    method from_messages (line 51) | def from_messages(cls, messages: list[ChatMessage]) -> "ChatEngineInput":
  class ChatService (line 79) | class ChatService:
    method __init__ (line 83) | def __init__(
    method _chat_engine (line 108) | def _chat_engine(
    method stream_chat (line 149) | def stream_chat(
    method chat (line 185) | def chat(

FILE: private_gpt/server/chunks/chunks_router.py
  class ChunksBody (line 13) | class ChunksBody(BaseModel):
  class ChunksResponse (line 20) | class ChunksResponse(BaseModel):
  function chunks_retrieval (line 27) | def chunks_retrieval(request: Request, body: ChunksBody) -> ChunksResponse:

FILE: private_gpt/server/chunks/chunks_service.py
  class Chunk (line 22) | class Chunk(BaseModel):
    method from_node (line 42) | def from_node(cls: type["Chunk"], node: NodeWithScore) -> "Chunk":
  class ChunksService (line 57) | class ChunksService:
    method __init__ (line 59) | def __init__(
    method _get_sibling_nodes_text (line 75) | def _get_sibling_nodes_text(
    method retrieve_relevant (line 96) | def retrieve_relevant(

FILE: private_gpt/server/completions/completions_router.py
  class CompletionsBody (line 16) | class CompletionsBody(BaseModel):
  function prompt_completion (line 53) | def prompt_completion(

FILE: private_gpt/server/embeddings/embeddings_router.py
  class EmbeddingsBody (line 15) | class EmbeddingsBody(BaseModel):
  class EmbeddingsResponse (line 19) | class EmbeddingsResponse(BaseModel):
  function embeddings_generation (line 26) | def embeddings_generation(request: Request, body: EmbeddingsBody) -> Emb...

FILE: private_gpt/server/embeddings/embeddings_service.py
  class Embedding (line 9) | class Embedding(BaseModel):
  class EmbeddingsService (line 16) | class EmbeddingsService:
    method __init__ (line 18) | def __init__(self, embedding_component: EmbeddingComponent) -> None:
    method texts_embeddings (line 21) | def texts_embeddings(self, texts: list[str]) -> list[Embedding]:

FILE: private_gpt/server/health/health_router.py
  class HealthResponse (line 10) | class HealthResponse(BaseModel):
  function health (line 15) | def health() -> HealthResponse:

FILE: private_gpt/server/ingest/ingest_router.py
  class IngestTextBody (line 13) | class IngestTextBody(BaseModel):
  class IngestResponse (line 25) | class IngestResponse(BaseModel):
  function ingest (line 32) | def ingest(request: Request, file: UploadFile) -> IngestResponse:
  function ingest_file (line 41) | def ingest_file(request: Request, file: UploadFile) -> IngestResponse:
  function ingest_text (line 65) | def ingest_text(request: Request, body: IngestTextBody) -> IngestResponse:
  function list_ingested (line 85) | def list_ingested(request: Request) -> IngestResponse:
  function delete_ingested (line 97) | def delete_ingested(request: Request, doc_id: str) -> None:

FILE: private_gpt/server/ingest/ingest_service.py
  class IngestService (line 27) | class IngestService:
    method __init__ (line 29) | def __init__(
    method _ingest_data (line 51) | def _ingest_data(self, file_name: str, file_data: AnyStr) -> list[Inge...
    method ingest_file (line 68) | def ingest_file(self, file_name: str, file_data: Path) -> list[Ingeste...
    method ingest_text (line 74) | def ingest_text(self, file_name: str, text: str) -> list[IngestedDoc]:
    method ingest_bin_data (line 78) | def ingest_bin_data(
    method bulk_ingest (line 85) | def bulk_ingest(self, files: list[tuple[str, Path]]) -> list[IngestedD...
    method list_ingested (line 91) | def list_ingested(self) -> list[IngestedDoc]:
    method delete (line 117) | def delete(self, doc_id: str) -> None:

FILE: private_gpt/server/ingest/ingest_watcher.py
  class IngestWatcher (line 14) | class IngestWatcher:
    method __init__ (line 15) | def __init__(
    method start (line 35) | def start(self) -> None:
    method stop (line 43) | def stop(self) -> None:

FILE: private_gpt/server/ingest/model.py
  class IngestedDoc (line 7) | class IngestedDoc(BaseModel):
    method curate_metadata (line 20) | def curate_metadata(metadata: dict[str, Any]) -> dict[str, Any]:
    method from_document (line 27) | def from_document(document: Document) -> "IngestedDoc":

FILE: private_gpt/server/recipes/summarize/summarize_router.py
  class SummarizeBody (line 15) | class SummarizeBody(BaseModel):
  class SummarizeResponse (line 24) | class SummarizeResponse(BaseModel):
  function summarize (line 35) | def summarize(

FILE: private_gpt/server/recipes/summarize/summarize_service.py
  class SummarizeService (line 35) | class SummarizeService:
    method __init__ (line 37) | def __init__(
    method _filter_ref_docs (line 57) | def _filter_ref_docs(
    method _summarize (line 69) | def _summarize(
    method summarize (line 140) | def summarize(
    method stream_summarize (line 157) | def stream_summarize(

FILE: private_gpt/server/utils/auth.py
  function _simple_authentication (line 40) | def _simple_authentication(authorization: Annotated[str, Header()] = "")...
  function authenticated (line 54) | def authenticated() -> bool:
  function authenticated (line 62) | def authenticated(

FILE: private_gpt/settings/settings.py
  class CorsSettings (line 8) | class CorsSettings(BaseModel):
  class AuthSettings (line 45) | class AuthSettings(BaseModel):
  class IngestionSettings (line 62) | class IngestionSettings(BaseModel):
  class ServerSettings (line 83) | class ServerSettings(BaseModel):
  class DataSettings (line 97) | class DataSettings(BaseModel):
  class LLMSettings (line 108) | class LLMSettings(BaseModel):
  class VectorstoreSettings (line 155) | class VectorstoreSettings(BaseModel):
  class NodeStoreSettings (line 159) | class NodeStoreSettings(BaseModel):
  class LlamaCPPSettings (line 163) | class LlamaCPPSettings(BaseModel):
  class HuggingFaceSettings (line 184) | class HuggingFaceSettings(BaseModel):
  class EmbeddingSettings (line 198) | class EmbeddingSettings(BaseModel):
  class SagemakerSettings (line 241) | class SagemakerSettings(BaseModel):
  class OpenAISettings (line 246) | class OpenAISettings(BaseModel):
  class GeminiSettings (line 271) | class GeminiSettings(BaseModel):
  class OllamaSettings (line 283) | class OllamaSettings(BaseModel):
  class AzureOpenAISettings (line 338) | class AzureOpenAISettings(BaseModel):
  class UISettings (line 357) | class UISettings(BaseModel):
  class RerankSettings (line 383) | class RerankSettings(BaseModel):
  class RagSettings (line 398) | class RagSettings(BaseModel):
  class SummarizeSettings (line 410) | class SummarizeSettings(BaseModel):
  class ClickHouseSettings (line 417) | class ClickHouseSettings(BaseModel):
  class PostgresSettings (line 488) | class PostgresSettings(BaseModel):
  class QdrantSettings (line 515) | class QdrantSettings(BaseModel):
  class MilvusSettings (line 569) | class MilvusSettings(BaseModel):
  class Settings (line 590) | class Settings(BaseModel):
  function settings (line 628) | def settings() -> Settings:

FILE: private_gpt/settings/settings_loader.py
  function merge_settings (line 32) | def merge_settings(settings: Iterable[dict[str, Any]]) -> dict[str, Any]:
  function load_settings_from_profile (line 36) | def load_settings_from_profile(profile: str) -> dict[str, Any]:
  function load_active_settings (line 50) | def load_active_settings() -> dict[str, Any]:

FILE: private_gpt/settings/yaml.py
  function load_yaml_with_envvars (line 12) | def load_yaml_with_envvars(

FILE: private_gpt/ui/ui.py
  class Modes (line 40) | class Modes(str, Enum):
  class Source (line 55) | class Source(BaseModel):
    class Config (line 60) | class Config:
    method curate_sources (line 64) | def curate_sources(sources: list[Chunk]) -> list["Source"]:
  class PrivateGptUi (line 83) | class PrivateGptUi:
    method __init__ (line 85) | def __init__(
    method _chat (line 109) | def _chat(
    method _get_default_system_prompt (line 238) | def _get_default_system_prompt(mode: Modes) -> str:
    method _get_default_mode_explanation (line 256) | def _get_default_mode_explanation(mode: Modes) -> str:
    method _set_system_prompt (line 269) | def _set_system_prompt(self, system_prompt_input: str) -> None:
    method _set_explanatation_mode (line 273) | def _set_explanatation_mode(self, explanation_mode: str) -> None:
    method _set_current_mode (line 276) | def _set_current_mode(self, mode: Modes) -> Any:
    method _list_ingested_files (line 286) | def _list_ingested_files(self) -> list[list[str]]:
    method _upload_file (line 298) | def _upload_file(self, files: list[str]) -> None:
    method _delete_all_files (line 321) | def _delete_all_files(self) -> Any:
    method _delete_selected_file (line 333) | def _delete_selected_file(self) -> Any:
    method _deselect_selected_file (line 350) | def _deselect_selected_file(self) -> Any:
    method _selected_a_file (line 358) | def _selected_a_file(self, select_data: gr.SelectData) -> Any:
    method _build_ui_blocks (line 366) | def _build_ui_blocks(self) -> gr.Blocks:
    method get_ui_blocks (line 573) | def get_ui_blocks(self) -> gr.Blocks:
    method mount_in_app (line 578) | def mount_in_app(self, app: FastAPI, path: str) -> None:

FILE: private_gpt/utils/eta.py
  function human_time (line 11) | def human_time(*args: Any, **kwargs: Any) -> str:
  function eta (line 38) | def eta(iterator: list[Any]) -> Any:
  class ETA (line 50) | class ETA:
    method __init__ (line 53) | def __init__(self, total: int):
    method human_time (line 60) | def human_time(self) -> str:
    method update (line 65) | def update(self, count: int) -> None:
    method needReport (line 71) | def needReport(self, whenSecs: int) -> bool:
    method _calc (line 78) | def _calc(self) -> bool:

FILE: private_gpt/utils/ollama.py
  function check_connection (line 31) | def check_connection(client: Client) -> bool:
  function process_streaming (line 42) | def process_streaming(generator: Iterator[Mapping[str, Any]]) -> None:
  function pull_model (line 85) | def pull_model(client: Client, model_name: str, raise_error: bool = True...

FILE: private_gpt/utils/retry.py
  function retry (line 10) | def retry(

FILE: scripts/ingest_folder.py
  class LocalIngestWorker (line 15) | class LocalIngestWorker:
    method __init__ (line 16) | def __init__(self, ingest_service: IngestService, setting: Settings) -...
    method _validate_folder (line 27) | def _validate_folder(self, folder_path: Path) -> None:
    method _find_all_files_in_folder (line 42) | def _find_all_files_in_folder(self, root_path: Path, ignored: list[str...
    method ingest_folder (line 55) | def ingest_folder(self, folder_path: Path, ignored: list[str]) -> None:
    method _ingest_all (line 60) | def _ingest_all(self, files_to_ingest: list[Path]) -> None:
    method ingest_on_watch (line 64) | def ingest_on_watch(self, changed_path: Path) -> None:
    method _do_ingest_one (line 68) | def _do_ingest_one(self, changed_path: Path) -> None:

FILE: scripts/utils.py
  function wipe_file (line 10) | def wipe_file(file: str) -> None:
  function wipe_tree (line 16) | def wipe_tree(path: str) -> None:
  class Postgres (line 39) | class Postgres:
    method __init__ (line 45) | def __init__(self) -> None:
    method wipe (line 55) | def wipe(self, storetype: str) -> None:
    method stats (line 66) | def stats(self, store_type: str) -> None:
    method __del__ (line 87) | def __del__(self):
  class Simple (line 92) | class Simple:
    method wipe (line 93) | def wipe(self, store_type: str) -> None:
  class Chroma (line 106) | class Chroma:
    method wipe (line 107) | def wipe(self, store_type: str) -> None:
  class Qdrant (line 112) | class Qdrant:
    method __init__ (line 117) | def __init__(self) -> None:
    method wipe (line 124) | def wipe(self, store_type: str) -> None:
    method stats (line 132) | def stats(self, store_type: str) -> None:
  class Command (line 148) | class Command:
    method for_each_store (line 156) | def for_each_store(self, cmd: str):
    method execute (line 174) | def execute(self, cmd: str) -> None:

FILE: tests/conftest.py
  function _as_module (line 10) | def _as_module(fixture_path: str) -> str:

FILE: tests/fixtures/auto_close_qdrant.py
  function _auto_close_vector_store_client (line 10) | def _auto_close_vector_store_client(injector: MockInjector) -> None:

FILE: tests/fixtures/fast_api_test_client.py
  function test_client (line 9) | def test_client(request: pytest.FixtureRequest, injector: MockInjector) ...

FILE: tests/fixtures/ingest_helper.py
  class IngestHelper (line 9) | class IngestHelper:
    method __init__ (line 10) | def __init__(self, test_client: TestClient):
    method ingest_file (line 13) | def ingest_file(self, path: Path) -> IngestResponse:
  function ingest_helper (line 23) | def ingest_helper(test_client: TestClient) -> IngestHelper:

FILE: tests/fixtures/mock_injector.py
  class MockInjector (line 14) | class MockInjector:
    method __init__ (line 15) | def __init__(self) -> None:
    method bind_mock (line 18) | def bind_mock(
    method bind_settings (line 30) | def bind_settings(self, settings: dict[str, Any]) -> Settings:
    method get (line 36) | def get(self, interface: type[T]) -> T:
  function injector (line 41) | def injector() -> MockInjector:

FILE: tests/server/chat/test_chat_routes.py
  function test_chat_route_produces_a_stream (line 7) | def test_chat_route_produces_a_stream(test_client: TestClient) -> None:
  function test_chat_route_produces_a_single_value (line 25) | def test_chat_route_produces_a_single_value(test_client: TestClient) -> ...

FILE: tests/server/chunks/test_chunk_routes.py
  function test_chunks_retrieval (line 9) | def test_chunks_retrieval(test_client: TestClient, ingest_helper: Ingest...

FILE: tests/server/embeddings/test_embedding_routes.py
  function test_embeddings_generation (line 9) | def test_embeddings_generation(test_client: TestClient) -> None:

FILE: tests/server/ingest/test_ingest_routes.py
  function test_ingest_accepts_txt_files (line 10) | def test_ingest_accepts_txt_files(ingest_helper: IngestHelper) -> None:
  function test_ingest_accepts_pdf_files (line 16) | def test_ingest_accepts_pdf_files(ingest_helper: IngestHelper) -> None:
  function test_ingest_list_returns_something_after_ingestion (line 22) | def test_ingest_list_returns_something_after_ingestion(
  function test_ingest_plain_text (line 40) | def test_ingest_plain_text(test_client: TestClient) -> None:

FILE: tests/server/ingest/test_local_ingest.py
  function file_path (line 10) | def file_path() -> str:
  function create_test_file (line 14) | def create_test_file(file_path: str) -> None:
  function clear_log_file (line 19) | def clear_log_file(log_file_path: str) -> None:
  function read_log_file (line 24) | def read_log_file(log_file_path: str) -> str:
  function init_structure (line 29) | def init_structure(folder: str, file_path: str) -> None:
  function test_ingest_one_file_in_allowed_folder (line 35) | def test_ingest_one_file_in_allowed_folder(
  function test_ingest_disabled (line 59) | def test_ingest_disabled(file_path: str) -> None:

FILE: tests/server/recipes/test_summarize_router.py
  function test_summarize_route_produces_a_stream (line 9) | def test_summarize_route_produces_a_stream(test_client: TestClient) -> N...
  function test_summarize_route_produces_a_single_value (line 26) | def test_summarize_route_produces_a_single_value(test_client: TestClient...
  function test_summarize_with_document_context (line 38) | def test_summarize_with_document_context(test_client: TestClient) -> None:
  function test_summarize_with_non_existent_document_context_not_fails (line 65) | def test_summarize_with_non_existent_document_context_not_fails(
  function test_summarize_with_metadata_and_document_context (line 85) | def test_summarize_with_metadata_and_document_context(test_client: TestC...
  function test_summarize_with_prompt (line 133) | def test_summarize_with_prompt(test_client: TestClient) -> None:

FILE: tests/server/utils/test_auth.py
  function test_default_does_not_require_auth (line 4) | def test_default_does_not_require_auth(test_client: TestClient) -> None:

FILE: tests/server/utils/test_simple_auth.py
  function _copy_simple_authenticated (line 23) | def _copy_simple_authenticated(
  function _patch_authenticated_dependency (line 33) | def _patch_authenticated_dependency(test_client: TestClient):
  function test_default_auth_working_when_enabled_401 (line 45) | def test_default_auth_working_when_enabled_401(test_client: TestClient) ...
  function test_default_auth_working_when_enabled_200 (line 50) | def test_default_auth_working_when_enabled_200(test_client: TestClient) ...

FILE: tests/settings/test_settings.py
  function test_settings_are_loaded_and_merged (line 5) | def test_settings_are_loaded_and_merged() -> None:
  function test_settings_can_be_overriden (line 9) | def test_settings_can_be_overriden(injector: MockInjector) -> None:

FILE: tests/settings/test_settings_loader.py
  function test_environment_variables_are_loaded (line 9) | def test_environment_variables_are_loaded() -> None:
  function test_environment_defaults_variables_are_loaded (line 19) | def test_environment_defaults_variables_are_loaded() -> None:
  function test_environment_defaults_variables_are_loaded_with_duplicated_delimiters (line 27) | def test_environment_defaults_variables_are_loaded_with_duplicated_delim...
  function test_environment_without_defaults_fails (line 35) | def test_environment_without_defaults_fails() -> None:

FILE: tests/test_prompt_helper.py
  function test_get_prompt_style_success (line 25) | def test_get_prompt_style_success(prompt_style, expected_prompt_style):
  function test_get_prompt_style_failure (line 29) | def test_get_prompt_style_failure():
  function test_tag_prompt_style_format (line 36) | def test_tag_prompt_style_format():
  function test_tag_prompt_style_format_with_system_prompt (line 52) | def test_tag_prompt_style_format_with_system_prompt():
  function test_mistral_prompt_style_format (line 70) | def test_mistral_prompt_style_format():
  function test_chatml_prompt_style_format (line 89) | def test_chatml_prompt_style_format():
  function test_llama2_prompt_style_format (line 107) | def test_llama2_prompt_style_format():
  function test_llama2_prompt_style_with_system_prompt (line 125) | def test_llama2_prompt_style_with_system_prompt():
  function test_llama3_prompt_style_format (line 145) | def test_llama3_prompt_style_format():
  function test_llama3_prompt_style_with_default_system (line 163) | def test_llama3_prompt_style_with_default_system():
  function test_llama3_prompt_style_with_assistant_response (line 177) | def test_llama3_prompt_style_with_assistant_response():

FILE: tests/ui/test_ui.py
  function test_ui_starts_in_the_given_endpoint (line 8) | def test_ui_starts_in_the_given_endpoint(test_client: TestClient) -> None: