Full Code of askaitools/askaitools-community-edition for AI

Repository: askaitools/askaitools-community-edition
Branch: master
Commit: 37b9e744f05f
Files: 27
Total size: 49.9 KB

Directory structure:
gitextract_fkoby6mu/

├── .gitignore
├── LICENSE
├── NOTICE.txt
├── README.md
├── README_CN.md
├── app/
│   ├── .gitignore
│   ├── components/
│   │   ├── Footer.tsx
│   │   ├── ItemsTileGrid.tsx
│   │   ├── Layout.tsx
│   │   ├── LogoImage.tsx
│   │   ├── Nav.tsx
│   │   └── SectionContainer.tsx
│   ├── lib/
│   │   ├── supabase.ts
│   │   └── theme.tsx
│   ├── next-env.d.ts
│   ├── next.config.js
│   ├── package.json
│   ├── pages/
│   │   ├── _app.tsx
│   │   ├── api/
│   │   │   └── embedding_search.ts
│   │   └── index.tsx
│   ├── postcss.config.js
│   ├── prettier.config.js
│   ├── styles/
│   │   └── globals.css
│   ├── tailwind.config.js
│   ├── tsconfig.json
│   └── types/
│       └── items.ts
└── supabase/
    └── migrations/
        └── 20240506_init.sql

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FILE CONTENTS
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FILE: .gitignore
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/node_modules/
/.idea/

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FILE: LICENSE
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================================================
FILE: NOTICE.txt
================================================
Copyright 2024 AskAITools

In addition to the terms of the Apache License 2.0, any derivative works or projects based on this open-source project must prominently acknowledge that they are derived from or based on this project. This acknowledgement must be made in at least one of the following places: in the derivative project's documentation, or user interface.

================================================
FILE: README.md
================================================
# AskAITools Community Edition

## Overview

AskAITools (https://askaitools.ai) is a cutting-edge search engine project tailored specifically for the AI product domain. Our mission is to revolutionize the way users discover AI products by providing the most accurate, comprehensive, lightning-fast, and intelligent search experience. With AskAITools, finding the perfect AI solution has never been easier.

**AskAITools Desktop Web Screenshot:**

[![AskAITools Desktop Web Screenshot](https://public-files.askaitools.ai/MainScreenshot.png)](https://askaitools.ai)

**AskAITools Mobile Web Screenshot:**

[![AskAITools Mobile Web Screenshot](https://public-files.askaitools.ai/MobileScreenshot.png)](https://askaitools.ai)

This project comes in two flavors: a feature-rich commercial edition and a community edition. The community edition offers a solid foundation with a basic front-end interface and search functionality, and its code is completely open-source in this repository. Developers can effortlessly integrate their own data on top of this framework, enabling them to swiftly build specialized vertical search engines or internal document search systems for their organizations.

Under the hood, AskAITools employs a hybrid search engine architecture, seamlessly combining keyword search (full-text search) and semantic search (vector search/embedding search) capabilities. By leveraging statistical data and weighted fusion techniques, it achieves a balance between relevance and popularity.

## Project Architecture and Tech Stack

- Front-end: Next.js
- Deployment: Vercel
- Styling: Tailwind CSS
- Database: Supabase
- Keyword Search: PostgreSQL / Supabase Full-Text Search Engine
- Semantic Search: Pgvector / Supabase Vector Database
- Semantic Vector Generation: OpenAI text-embedding-3 model

## Getting Started

1. Gather and structure your niche data. Refer to [our data table schema](./supabase/migrations/20240506_init.sql) for guidance on the required fields.
2. Modify the `item` table schema as needed. Create the table and import the data into Supabase.
3. Duplicate the environment variable template `.env.local.example` and rename it to `.env.local`. Fill in your Supabase and OpenAI configuration details. If needed, provide proxy information.
4. Tailor the search parameters and strategies in `./app/pages/index.tsx`, `./app/pages/api/embedding_search.ts`, and `./supabase/migrations/20240506_init.sql` to suit your requirements.
5. Refer to `20240506_init.sql` and create two search functions in Supabase.
6. In the `app` directory, run `yarn install` to install dependencies, followed by `yarn dev` to initiate the local development environment and conduct code debugging.
7. Follow the Vercel official documentation to deploy your project on Vercel.
8. Once deployed, celebrate your accomplishment 🎉

## Usage Restrictions

1. All projects that are derivatives of this project must prominently acknowledge AskAITools by displaying its name and open-source address on the user interface homepage or documentation homepage. The easiest way to comply with this requirement is to keep the "Powered by AskAITools" component intact in the footer.
2. When deploying projects derived from this open-source project, please avoid using the AskAITools brand name as your product/project name. This restriction does not apply to the ["AskAITools Commercial Edition"](https://askaitools.ai) (https://askaitools.ai).
3. If you want to develop AI product search platforms, AI product directory sites, or other projects that closely resemble the AskAITools Commercial Edition using this open-source project as a foundation, please redesign and redevelop the front-end pages. Failure to do so may result in Google identifying the later-launched website as plagiarism due to similar formatting and content, potentially hindering its ability to attract search traffic.

================================================
FILE: README_CN.md
================================================
# AskAITools 开源社区版

## 概述

AskAITools (https://askaitools.ai) 是专为 AI 产品领域设计的顶级搜索引擎项目，致力于打造 AI 产品领域中最卓越的搜索引擎。我们的目标是为用户提供最精准、最全面、最快速、最智能的搜索体验，使其成为用户寻找 AI 产品时的首选。

**AskAITools 桌面版网页截图：**

[![AskAITools 桌面版网页截图](https://public-files.askaitools.ai/MainScreenshot.png)](https://askaitools.ai)

**AskAITools 移动版网页截图：**

[![AskAITools 移动版网页截图](https://public-files.askaitools.ai/MobileScreenshot.png)](https://askaitools.ai)

此项目包括商业版与社区版两个版本，社区版提供基础前端界面和搜索功能，代码完全开源。开发者可以在此基础上，轻松添加自己的数据，迅速构建专业的垂域搜索引擎或用于企业内部文档搜索。

本搜索引擎是一种混合型搜索引擎，具备关键词搜索（全文搜索）和语义搜索（向量搜索/嵌入搜索）功能，结合统计数据进行加权融合，实现了在相关性和热度两方面的平衡。

## 项目架构与技术栈

- 前端：Next.js
- 部署：Vercel
- 样式：Tailwind CSS
- 数据库：Supabase
- 关键词搜索：Postgresql / Supabase 全文搜索引擎
- 语义搜索：Pgvector / Supabase 向量数据库
- 语义向量生成：OpenAI text-embedding-3 模型

## 使用步骤

1. 收集并整理你的垂域数据，详细字段可参照[我的数据表结构](./supabase/migrations/20240506_init.sql)。
2. 根据你的数据需要调整 `item` 表结构，在 Supabase 中创建并导入数据表。
3. 将环境变量模板 `.env.local.example` 复制为 `.env.local` 并填入你的 Supabase 和 OpenAI 配置信息，必要时填写代理信息。
4. 根据需求，调整 `./app/pages/index.tsx`、`./app/pages/api/embedding_search.ts` 与 `./supabase/migrations/20240506_init.sql` 中的搜索参数和搜索策略。
5. 参考 `20240506_init.sql`，在 Supabase 中创建两个搜索函数。
6. 在 `app` 目录下执行 `yarn install` 安装依赖，之后运行 `yarn dev` 启动本地开发环境并进行代码调试。
7. 遵循 Vercel 官方文档将项目部署至 Vercel。
8. 部署成功后，庆祝成果🎉

## 使用限制

1. 基于本项目进行二次开发的项目，必须在用户界面首页或文档首页的显著位置，注明本开源项目的名称和开源地址。最简单的做法是，保留页脚中的 "Powered by AskAITools" 组件。
2. 基于本项目进行二次开发并部署上线的项目，除 [AskAITools 商业版](https://askaitools.ai)（https://askaitools.ai ）外，请勿使用 AskAITools 品牌名作为产品 / 项目名称。
3. 如果基于本项目二次开发 AI 产品搜索站或 AI 产品导航站等和 AskAITools 商业版接近的项目，请重新设计、开发前端页面。否则相同格式、相似内容，后上线的网站很可能被谷歌判定为抄袭，从而无法获得搜索流量。


================================================
FILE: app/.gitignore
================================================
# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.

# dependencies
/node_modules
/.pnp
.pnp.js
# lockfile
package-lock.json
yarn.lock

# testing
/coverage

# next.js
/.next/
/out/

# production
/build

# misc
.DS_Store
*.pem

# debug
npm-debug.log*
yarn-debug.log*
yarn-error.log*

# local env files
.env.local
.env.development.local
.env.test.local
.env.production.local

# vercel
.vercel

# typescript
*.tsbuildinfo


================================================
FILE: app/components/Footer.tsx
================================================
import GitHubButton from 'react-github-btn'

const Footer = () => {
    return (
            <footer className="flex flex-col items-center justify-center w-full border-t bg-scale-300 p-4 text-sm">
                <div className="text-gray-700 mb-2">Powered by
                    <a href="https://github.com/askaitools/askaitools-community-edition" target="_blank" rel="noopener" className="text-blue-500 underline ml-1">AskAITools</a>
                </div>
                <GitHubButton href="https://github.com/askaitools/askaitools-community-edition" data-color-scheme="no-preference: light; light: light; dark: dark;" data-size="small" data-show-count="true" aria-label="Star askaitools/askaitools-community-edition on GitHub">Star</GitHubButton>
            </footer>
    )
}

export default Footer


================================================
FILE: app/components/ItemsTileGrid.tsx
================================================
import Link from 'next/link'
import {Items} from '~/types/items'
import LogoImage from './LogoImage';

export default function PartnerTileGrid({
                                            searchResults
                                        }: {
    searchResults: Items[]
}) {

    function formatVisitsCount(countNumber : bigint, language = 'en_US') {
        const count = Number(countNumber);
        if (count < 1_000) {
            return count.toString();
        } else if (count < 1_000_000) {
            return (count / 1_000).toFixed(1) + 'K';
        } else if (count < 1_000_000_000) {
            return (count / 1_000_000).toFixed(1) + 'M';
        } else {
            return (count / 1_000_000_000).toFixed(1) + 'B';
        }
    }

    return (
        <>
            <div className="not-prose space-y-0">
                <div className="grid gap-2 grid-cols-1 md:grid-cols-1 lg:max-w-none">
                    {searchResults.map((p) => (
                        <a key={p.id} href={p.url} target="_blank" rel="noopener dofollow">
                            <div
                                className="bg-[#fcfcfc]
                                hover:bg-gray-100 hover:dark:bg-scale-400
                                group flex flex-col w-full h-full px-5 py-1 transition-all
                                border rounded-l
                                shadow
                                hover:shadow-lg"
                            >
                                <div className="flex w-full items-center space-x-4">
                                    <div className="flex-none transition-all group-hover:scale-110">
                                        <LogoImage logo={p.logo} title={p.title} />
                                    </div>
                                    <div className="flex-1 min-w-0 py-1">
                                        <h3 className="text-sm font-bold transition-colors group-hover:text-blue-500 whitespace-nowrap overflow-hidden text-ellipsis  mt-0"
                                            title={p.url}
                                        >
                                            {p.title}
                                        </h3>
                                        <p
                                            className="text-xs whitespace-nowrap overflow-hidden text-ellipsis mb-1"
                                            title={p.brief}
                                        >
                                            {p.brief}
                                        </p>
                                        <div className="flex flex-wrap items-center mt-0">
                                            {p.visitstotalcount&& (
                                                <span
                                                    className="text-xs text-gray-600 mr-2 mb-1"
                                                >
                                                    👥 {formatVisitsCount(p.visitstotalcount)}
                                                </span>
                                            )}
                                            {p.visitsavgdurationformatted && (
                                                <span
                                                    className="text-xs text-gray-600 mr-2 mb-1"
                                                >
                                                    ⏱️ {p.visitsavgdurationformatted.startsWith("00:")
                                                    ? p.visitsavgdurationformatted.substring(3)
                                                    : p.visitsavgdurationformatted}
                                                </span>
                                            )}
                                            {p.bouncerate && (
                                                <span
                                                    className="text-xs text-gray-600 mb-1"
                                                >
                                                    🤝 {Math.round((1 - p.bouncerate) * 100)}%
                                                </span>
                                            )}
                                        </div>
                                    </div>
                                </div>
                            </div>
                        </a>
                    ))}
                </div>
            </div>
        </>
    )
}

================================================
FILE: app/components/Layout.tsx
================================================
import {PropsWithChildren, useEffect, useState} from 'react'
import Nav from './Nav'
import Footer from './Footer'

type LayoutProps = {}

const Layout = ({
                    children,
                }: PropsWithChildren<LayoutProps>) => {
    const [navHeight, setNavHeight] = useState(0);
    useEffect(() => {
        document.documentElement.className = 'light'
        const nav = document.querySelector('nav');
        if (nav) {
            setNavHeight(nav.offsetHeight);
        }
    }, [])

    return (
        <>
            <div className="flex flex-col min-h-screen">
                <div className="fixed top-0 w-full z-10"><Nav/></div>
                <div className="flex-1" style={{paddingTop: `${navHeight}px`}}>
                    <main>{children}</main>
                </div>
                <Footer/>
            </div>
        </>
    )
}

export default Layout


================================================
FILE: app/components/LogoImage.tsx
================================================
import React, { useState } from 'react';
import Image from 'next/image';

const LogoImage: React.FC<{ logo: string | undefined; title: string }>  = ({ logo, title }) => {
    const [imageError, setImageError] = useState(false);

    const handleImageError = () => {
        setImageError(true);
    };

    if (!logo) {
        return (
            <Image
                width={40}
                height={40}
                className="bg-gray-300 rounded-full"
                src="/images/logo-wordmark--light.svg"
                alt={title}
            />
        );
    }

    const fileExtension = logo?.split('.').pop()?.toLowerCase() ?? '';
    const logoUrl = `https://example.com/${logo}`;  // Replace with your actual logo URL

    if (fileExtension === 'svg') {
        return (
            <div className="bg-gray-300 rounded-full w-10 h-10 flex items-center justify-center">
                {imageError ? (
                    <img src="/images/logo-wordmark--light.svg" alt={title} />
                ) : (
                    <img src={logoUrl} alt={title} onError={handleImageError} />
                )}
            </div>
        );
    }

    return (
        <Image
            width={40}
            height={40}
            className="bg-gray-300 rounded-full"
            src={imageError ? '/images/logo-wordmark--light.svg' : logoUrl}
            alt={title}
            onError={handleImageError}
        />
    );
};

export default LogoImage;


================================================
FILE: app/components/Nav.tsx
================================================
import Image from 'next/image';
import Link from 'next/link';
import {useState} from 'react';
import { Bars3Icon, XMarkIcon } from '@heroicons/react/24/outline';

interface LogoProps {
    isDarkMode: boolean | undefined;
}

const Logo = ({ isDarkMode }: LogoProps) => {
    return (
        <Link href="https://askaitools.ai" className="flex items-center justify-center md:justify-start">
                <Image
                    src={isDarkMode ? '/images/logo-wordmark--dark.svg' : '/images/logo-wordmark--light.svg'}
                    alt="Logo"
                    height={30}
                    width={30}
                />
                <span className={`ml-3 font-bold text-lg ${isDarkMode ? 'text-white' : 'text-black'}`}>
                  Your Product Name
                </span>
        </Link>
    );
};

const SocialMediaLinks = ({ isDarkMode }: LogoProps) => {
    return (
        <>
            {/* Replace with your actual social media links */}
            <a className="flex mr-3" href="https://askaitools.ai" target="_blank" rel="noopener">
                <Image src='/images/Gmail_logo.svg' alt="Email" height={24} width={30}/>
            </a>
            <a className="flex mr-3" href="https://askaitools.ai" target="_blank" rel="noopener">
                <Image
                    src={isDarkMode ? '/images/TwitterX_logo--dark.png' : '/images/TwitterX_logo--light.png'}
                    alt="Twitter (X)"
                    height={24}
                    width={24}
                />
            </a>
            <a className="flex" href="https://askaitools.ai" target="_blank" rel="noopener">
                <Image src='/images/Jike_logo.png' alt="Jike" height={24} width={24}/>
            </a>
        </>
    );
};

const Nav = () => {
    const [isMenuOpen, setIsMenuOpen] = useState(false);
    return (
        <nav className="relative flex w-full items-center border-b bg-white px-6 lg:px-16 xl:px-20">
            <div className="flex-1 flex justify-center md:justify-start p-4 pr-10">
                <Logo isDarkMode={false} />
            </div>
            <div className="hidden md:flex flex-1 justify-end">
                <SocialMediaLinks isDarkMode={false} />
            </div>
            <div className="md:hidden flex items-center">
                <button onClick={() => setIsMenuOpen(!isMenuOpen)}>
                    {isMenuOpen ? <XMarkIcon className="h-6 w-6" /> : <Bars3Icon className="h-6 w-6" />}
                </button>
            </div>
            <div className={`${isMenuOpen ? 'fixed' : 'hidden'} overflow-hidden inset-0 w-screen h-screen bg-white shadow-md z-50`}>
                <div className="flex flex-col w-full h-full">
                    <div className="flex justify-between items-center border-b bbg-scale-300">
                        <div className="flex justify-center w-full p-4">
                            <Logo isDarkMode={false} />
                        </div>
                        <button onClick={() => setIsMenuOpen(false)} className="pr-10">
                            <XMarkIcon className="h-6 w-6" />
                        </button>
                    </div>
                    {/* Replace with your actual social media links */}
                    <div className="flex flex-col overflow-y-auto p-4">
                        <a href="https://askaitools.ai" target="_blank" rel="noopener" className="p-4 border-b border-gray-600 text-center">Email</a>
                        <a href="https://askaitools.ai" target="_blank" rel="noopener" className="p-4 border-b border-gray-600 text-center">Twitter</a>
                        <a href="https://askaitools.ai" target="_blank" rel="noopener" className="p-4 border-b border-gray-600 text-center">Jike</a>
                    </div>
                </div>
            </div>
        </nav>
    );
};

export default Nav;


================================================
FILE: app/components/SectionContainer.tsx
================================================
import classNames from 'classnames'
import { PropsWithChildren } from 'react'

interface SectionContainerProps {
  className?: string
}

const SectionContainer = ({ children, className }: PropsWithChildren<SectionContainerProps>) => (
  <div
    className={classNames(
      `container prose prose-sm dark:prose-invert mx-auto max-w-full md:prose-base xl:prose-lg px-6 lg:px-16 xl:px-20 relative py-16 sm:py-18 md:py-24 lg:py-24`,
      className
    )}
  >
    {children}
  </div>
)

export default SectionContainer


================================================
FILE: app/lib/supabase.ts
================================================
import { createClient } from '@supabase/supabase-js'

const supabase = createClient(
  process.env.NEXT_PUBLIC_SUPABASE_URL!,
  process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY!
)

export default supabase


================================================
FILE: app/lib/theme.tsx
================================================
import { createContext, useContext, useEffect, useState } from 'react'

interface UseThemeProps {
  toggleTheme: () => void
}

interface ThemeProviderProps {
  children?: any
}

export const ThemeContext = createContext<UseThemeProps>({
  toggleTheme: () => {},
})

export const useTheme = () => useContext(ThemeContext)

export const ThemeProvider = ({ children }: ThemeProviderProps) => {
  const [isDarkMode, setIsDarkMode] = useState(false)

  useEffect(() => {
    const key = localStorage.getItem('darkMode')
    setIsDarkMode(key === 'true')
  }, [])

  const toggleTheme = () => {
    setIsDarkMode(!isDarkMode)
  }

  return (
    <ThemeContext.Provider
      value={{
        toggleTheme,
      }}
    >
      {children}
    </ThemeContext.Provider>
  )
}


================================================
FILE: app/next-env.d.ts
================================================
/// <reference types="next" />
/// <reference types="next/image-types/global" />

// NOTE: This file should not be edited
// see https://nextjs.org/docs/basic-features/typescript for more information.


================================================
FILE: app/next.config.js
================================================
/** @type {import('next').NextConfig} */
module.exports = {
  reactStrictMode: true,
  images: {
    remotePatterns: [
      {
        protocol: 'https',
        hostname: 'example.com',
      },
    ],
  },
}


================================================
FILE: app/package.json
================================================
{
  "name": "askaitools-community-edition",
  "version": "0.1.0",
  "description": "A cutting-edge search engine project tailored specifically for the AI product",
  "license": "Apache License Version 2.0",
  "scripts": {
    "dev": "next dev",
    "build": "next build",
    "start": "next start"
  },
  "repository": {
    "type": "git",
    "url": "git+https://github.com/askaitools/askaitools-community-edition.git"
  },
  "dependencies": {
    "@heroicons/react": "^2.1.1",
    "@next/third-parties": "^14.1.0",
    "@supabase/supabase-js": "^1.33.3",
    "@vercel/speed-insights": "^1.0.7",
    "classnames": "^2.3.1",
    "https-proxy-agent": "^7.0.4",
    "marked": "^4.0.12",
    "next": "^13.5.6",
    "openai": "^4.38.2",
    "react": "^18.2.0",
    "react-dom": "^18.2.0",
    "react-github-btn": "^1.4.0",
    "react-inlinesvg": "^4.1.3",
    "use-debounce": "^7.0.1"
  },
  "devDependencies": {
    "@mertasan/tailwindcss-variables": "^2.2.2",
    "@radix-ui/colors": "^0.1.8",
    "@tailwindcss/forms": "^0.5.0",
    "@tailwindcss/typography": "^0.5.2",
    "@types/marked": "^4.0.3",
    "@types/node": "^17.0.23",
    "@types/react": "^17.0.43",
    "autoprefixer": "^10.4.4",
    "deepmerge": "^4.2.2",
    "mini-svg-data-uri": "^1.4.4",
    "postcss": "^8.4.12",
    "prettier": "^2.6.2",
    "prettier-plugin-tailwindcss": "^0.1.8",
    "tailwindcss": "^3.0.23",
    "tailwindcss-radix": "^1.6.0",
    "typescript": "^4.6.3"
  }
}


================================================
FILE: app/pages/_app.tsx
================================================
import type { AppProps } from 'next/app'
import { ThemeProvider } from '~/lib/theme'
import '../styles/globals.css'
import React from "react";

function MyApp({ Component, pageProps }: AppProps) {
  return (
    <>
        <ThemeProvider>
            <Component {...pageProps} />
        </ThemeProvider>
    </>
  )
}

export default MyApp


================================================
FILE: app/pages/api/embedding_search.ts
================================================
import type { NextApiRequest, NextApiResponse } from 'next';
import OpenAI from 'openai';
// import { HttpsProxyAgent } from 'https-proxy-agent';

export default async function handler(req: NextApiRequest, res: NextApiResponse) {
    if (req.method === 'POST') {
        try {
            const openai = new OpenAI({
                apiKey: process.env['OPENAI_API_KEY'],
                // httpAgent: new HttpsProxyAgent(process.env.HTTP_PROXY!),
            });
            const search = req.body.search;
            const embeddingResponse = await openai.embeddings.create({
                input: search,
                model: 'text-embedding-3-small',
                encoding_format: "float",
                dimensions: 512,
            });
            const embedding = embeddingResponse.data[0].embedding;
            res.status(200).json({ embedding });
        } catch (error) {
            res.status(500).json({ error: 'Error processing your request' });
        }
    } else {
        res.setHeader('Allow', ['POST']);
        res.status(405).end(`Method ${req.method} Not Allowed`);
    }
}


================================================
FILE: app/pages/index.tsx
================================================
import Head from 'next/head'
import React, {useState} from 'react'
import Layout from '~/components/Layout'
import ItemsTileGrid from '~/components/ItemsTileGrid'
import SectionContainer from '~/components/SectionContainer'
import supabase from '~/lib/supabase'
import {Items} from '~/types/items'

interface Props {
    items: Items[]
}

function normalizeSearch(search:string) {
    let result = search.substring(0, 256).replace(/[\p{P}\p{S}]/gu, ' ').toLowerCase();
    result = result.trim().replace(/\s+/g, ' ');
    return result;
}

async function embeddingSearch(search:string) {
    try {
        const response = await fetch('/api/embedding_search', {
            method: 'POST',
            headers: {
                'Content-Type': 'application/json',
            },
            body: JSON.stringify({ search }),
        });

        if (response.ok) {
            const embeddingData = await response.json();
            const searchEmbedding = embeddingData.embedding;
            const { error: matchError, data: embeddingItems } = await supabase.rpc(
                'match_items',
                {
                    query_embedding: searchEmbedding,
                    match_threshold: 0,  // Fill in an appropriate value based on your requirements
                    match_count: 10,  // Fill in an appropriate value based on your requirements
                }
            );

            if (matchError) {
                return [];
            } else {
                return embeddingItems;
            }
        } else {
            return [];
        }
    } catch (error) {
        return [];
    }
}

async function ftsSearch(search:string) {
    const { error: matchError, data: FTSitems } = await supabase.rpc(
        'fts_match_items_ranked', {
            query_string: search.replace(/ /g, ' & '),  // Modify the query string as needed
            match_count: 10,  // Fill in an appropriate value based on your requirements
        })
    if (matchError) {
        return [];
    } else {
        return FTSitems;
    }
}

function asyncFunctionWithTimeout(asyncFunction: (...args: any[]) => Promise<any>, timeout:number, ...args :any[]) {
    const timeoutPromise = new Promise((_, reject) => {
        setTimeout(() => {
            reject(new Error('Async function timed out'));
        }, timeout);
    });

    return Promise.race([asyncFunction(...args), timeoutPromise]);
}

function dedupeSortedItemsByDomain(sortedItems: Items[]): Items[] {
    const uniqueDomains = new Set();
    return sortedItems.filter((item) => {
        const url = new URL(item.url);
        const domain = url.hostname;
        if (uniqueDomains.has(domain)) {
            return false;
        } else {
            uniqueDomains.add(domain);
            return true;
        }
    });
}


function Home(props: Props) {
    const [items, setItems] = useState<Items[]>([])

    const metaTitle = 'Your meta title'
    const metaDescription = `Your meta description`

    const [search, setSearch] = useState('')
    const [isSearching, setIsSearching] = useState(false)
    const [afterSearch, setAfterSearch] = useState(false)

    const handleSearchSubmit = async (e: { preventDefault: () => void }) => {
        e.preventDefault();
        if (search.trim() === '') {
            setIsSearching(false)
            setItems([])
            return
        }

        setIsSearching(true);

        const normalizedSearch = normalizeSearch(search);

        const [embeddingResult, ftsResult] = await Promise.allSettled([
            asyncFunctionWithTimeout(embeddingSearch, 3000, normalizedSearch),
            asyncFunctionWithTimeout(ftsSearch, 3000, normalizedSearch),
        ]);

        const embeddingItems = embeddingResult.status === 'fulfilled' ? embeddingResult.value : [];
        const FTSitems = ftsResult.status === 'fulfilled' ? ftsResult.value : [];

        // Modify the scoring function according to your requirements.
        function calculateScore(item: any, isFTS: boolean, isEmbedding: boolean) {
            const keywordMatchScore = isFTS ? item.rank : 0;
            const semanticMatchScore = isEmbedding ? item.similarity : 0;
            const trafficScore = Math.log10(item.visitstotalcount > 5000 ? item.visitstotalcount : 2500);
            return trafficScore * (semanticMatchScore + keywordMatchScore);
        }

        const mergedItemsMap = new Map();

        embeddingItems.forEach((item:Items) => {
            mergedItemsMap.set(item.url, { ...item, score: calculateScore(item, false, true) });
        });

        FTSitems.forEach((item:Items) => {
            if (mergedItemsMap.has(item.url)) {
                const existingItem = mergedItemsMap.get(item.url);
                const updatedItem = { ...existingItem, rank: item.rank };
                updatedItem.score = calculateScore(updatedItem, true, true);
                mergedItemsMap.set(item.url, updatedItem);
            } else {
                mergedItemsMap.set(item.url, { ...item, score: calculateScore(item, true, false) });
            }
        });

        const sortedItems = Array.from(mergedItemsMap.values()).sort((a, b) => b.score - a.score)
        const dedupedSortedItems = dedupeSortedItemsByDomain(sortedItems);
        const page1 = dedupedSortedItems.slice(0, 100);

        if (page1) {
            setItems(page1)
        }

        setIsSearching(false)
        setAfterSearch(true)

    };

    return (
        <>
            <Head>
                <title>{`${metaTitle} | Your Product's Name`}</title>
                <meta name="description" content={metaDescription}></meta>
                <link rel="icon" href="/favicon.ico" type="image/x-icon"/>
            </Head>
            <Layout>
                <SectionContainer className="space-y-4">
                        <div className="text-center">
                            <h1 className="h1">
                                {metaTitle}
                                <div className="mt-4">
                                    <span className="text-blue-500">{metaDescription}</span>
                                </div>
                            </h1>
                        </div>

                        <form className="md:w-2/3 mx-auto" onSubmit={handleSearchSubmit}>
                            <label
                                className="mb-2 text-sm font-medium text-gray-900 sr-only dark:text-white"
                                htmlFor="search"
                            >
                                Search
                            </label>
                            <div className="relative">
                                <div className="absolute inset-y-0 start-0 flex items-center ps-3 pointer-events-none">
                                    <svg
                                        aria-hidden="true"
                                        className="w-5 h-5 text-gray-600 dark:text-gray-400"
                                        fill="none"
                                        viewBox="0 0 20 20"
                                        xmlns="http://www.w3.org/2000/svg"
                                    >
                                        <path
                                            d="m19 19-4-4m0-7A7 7 0 1 1 1 8a7 7 0 0 1 14 0Z"
                                            stroke="currentColor"
                                            strokeLinecap="round"
                                            strokeLinejoin="round"
                                            strokeWidth="1"
                                        />
                                    </svg>
                                </div>
                                <input
                                    className="block w-full bg-gray-50 p-2 ps-10 text-md text-gray-900 placeholder-gray-500 border border-gray-500 rounded-lg ring-1 ring-transparent focus:outline-none focus:border-blue-500 focus:ring-blue-500 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white dark:focus:ring-blue-500 dark:focus:border-blue-500"
                                    id="search"
                                    autoComplete="off"
                                    placeholder="Search..."
                                    required
                                    type="search"
                                    value={search}
                                    onChange={(e) => setSearch(e.target.value)}
                                />
                            </div>
                        </form>
                        {isSearching ? (
                            <div className="flex justify-center pt-16">
                                <img src="/images/blocks-wave.svg" className="h-16 w-16" alt="Loading..." />
                            </div>
                        ) : (
                            <div className="grid space-y-0 md:gap-8 lg:grid-cols-12 lg:gap-16 lg:space-y-0 xl:gap-16">
                                <div className="lg:col-start-3 lg:col-span-8 xl:col-start-3 xl:col-span-8">
                                    <div className="text-xs">
                                        {afterSearch && (
                                            <p>About {items.length} results</p>
                                        )}
                                    </div>
                                    <div className="grid space-y-10">
                                        {items.length ? (
                                            <ItemsTileGrid searchResults={items}/>
                                        ) : (
                                            afterSearch ? (
                                                <h3 className="h3">No results found, please try another keyword.</h3>
                                            ):null
                                        )}
                                    </div>
                                </div>
                            </div>
                        )}
                </SectionContainer>
            </Layout>
        </>
    )
}

export default Home


================================================
FILE: app/postcss.config.js
================================================
module.exports = {
  plugins: {
    tailwindcss: {},
    autoprefixer: {},
  },
}


================================================
FILE: app/prettier.config.js
================================================
module.exports = {
  singleQuote: true,
  semi: false,
}


================================================
FILE: app/styles/globals.css
================================================
@tailwind base;
@tailwind components;
@tailwind utilities;

html {
  scroll-behavior: smooth;
}

body {
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}

.section--masked {
}

::selection {
  background-color: #93c5fd;
  color: #333 !important;
}

.section--bg-masked {
  position: absolute;
  width: 100%;
  height: 100%;
}

.section-container {
  position: relative;
  z-index: 1;
  display: flex;
  justify-content: center;
}

.dark .auth-container {
  background-color: #181818;
  background-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='100' height='100' viewBox='0 0 100 100'%3E%3Cg fill-rule='evenodd'%3E%3Cg fill='%23313131' fill-opacity='0.4'%3E%3Cpath opacity='.5' d='M96 95h4v1h-4v4h-1v-4h-9v4h-1v-4h-9v4h-1v-4h-9v4h-1v-4h-9v4h-1v-4h-9v4h-1v-4h-9v4h-1v-4h-9v4h-1v-4h-9v4h-1v-4H0v-1h15v-9H0v-1h15v-9H0v-1h15v-9H0v-1h15v-9H0v-1h15v-9H0v-1h15v-9H0v-1h15v-9H0v-1h15v-9H0v-1h15V0h1v15h9V0h1v15h9V0h1v15h9V0h1v15h9V0h1v15h9V0h1v15h9V0h1v15h9V0h1v15h9V0h1v15h4v1h-4v9h4v1h-4v9h4v1h-4v9h4v1h-4v9h4v1h-4v9h4v1h-4v9h4v1h-4v9h4v1h-4v9zm-1 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-9-10h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm9-10v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-9-10h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm9-10v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-9-10h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm9-10v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-10 0v-9h-9v9h9zm-9-10h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9zm10 0h9v-9h-9v9z'/%3E%3Cpath d='M6 5V0H5v5H0v1h5v94h1V6h94V5H6z'/%3E%3C/g%3E%3C/g%3E%3C/svg%3E");
}

.dark .header--light {
  display: none;
}

.header--dark {
  display: none;
}

.dark .header--dark {
  display: block;
}

================================================
FILE: app/tailwind.config.js
================================================
module.exports = {
  content: [
    './components/**/*.tsx',
    './pages/**/*.tsx',
  ],
  darkMode: 'class',
  theme: {
    extend: {
      typography: (theme) => ({
        DEFAULT: {
          css: {
            a: {
              textDecoration: 'none',
            },
          },
        },
      }),
      backdropFilter: {
        'none': 'none',
        'blur': 'blur(20px)',
      },
      fontFamily: {
        sans: [
          'custom-font',
          'Helvetica Neue',
          'Helvetica',
          'Arial',
          'sans-serif',
        ],
        mono: ['Source Code Pro', 'Menlo', 'monospace'],
      },
      keyframes: {
        'flash-code': {
          '0%': { backgroundColor: 'rgba(63, 207, 142, 0.1)' },
          '100%': { backgroundColor: 'transparent' },
        },
      },
      animation: {
        'flash-code': 'flash-code 1s forwards',
        'flash-code-slow': 'flash-code 2s forwards',
      },
    },
  },
  plugins: [require('@tailwindcss/typography')],
}


================================================
FILE: app/tsconfig.json
================================================
{
  "compilerOptions": {
    "target": "es5",
    "lib": ["dom", "dom.iterable", "esnext"],
    "allowJs": true,
    "skipLibCheck": true,
    "strict": true,
    "forceConsistentCasingInFileNames": true,
    "noEmit": true,
    "esModuleInterop": true,
    "module": "esnext",
    "moduleResolution": "node",
    "resolveJsonModule": true,
    "isolatedModules": true,
    "jsx": "preserve",
    "incremental": true,
    "baseUrl": ".",
    "paths": {
      "~/*": ["./*"],
      "react": [ "./node_modules/@types/react" ]
    }
  },
  "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx"],
  "exclude": ["node_modules"]
}


================================================
FILE: app/types/items.ts
================================================

export interface Items {
    id: number
    url: string
    title: string
    brief?: string
    tsv?: any
    doc_embedding?: any
    logo?: string
    visitstotalcount?: bigint
    bouncerate?: number
    pagespervisit?: number
    visitsavgdurationformatted?: string
    similarity?: number
    rank?: number
}


================================================
FILE: supabase/migrations/20240506_init.sql
================================================
create table
  items (  -- Replace the "items" table with your own table name.
    id bigint generated by default as identity primary key,
    url text not null unique,
    title text not null,
    brief text,
    tsv tsvector generated always as (
       setweight(to_tsvector('english', coalesce(title,'')), 'A') ||
        setweight(to_tsvector('english', coalesce(brief,'')), 'B')
     ) stored,
    doc_embedding vector(512),
    logo text,
    visitstotalcount bigint,
    bouncerate float,
    pagespervisit float,
    visitsavgdurationformatted text,
    created_at timestamp with time zone default timezone ('utc'::text, now()) not null
  );

alter table
  items enable row level security;

create policy
  "Enable public read access" on items for
select
  using (true);

create or replace function match_items(
    query_embedding vector(512),
    match_threshold float,
    match_count int
)
returns table (
    id bigint,
    url text,
    title text,
    brief text,
    logo text,
    visitstotalcount bigint,
    bouncerate float,
    pagespervisit float,
    visitsavgdurationformatted text,
    similarity float
)
language plpgsql
as $$
begin
return query
  select
    items.id,
    items.url,
    items.title,
    items.brief,
    items.logo,
    items.visitstotalcount,
    items.bouncerate,
    items.pagespervisit,
    items.visitsavgdurationformatted,
    1 - (items.doc_embedding <=> query_embedding) as similarity
  from items
  where
  1 - (items.doc_embedding <=> query_embedding) > match_threshold
  order by items.doc_embedding <=> query_embedding
  limit match_count;
end;
$$;

create or replace function fts_match_items_ranked(
    query_string text,
    match_count int
)
returns table (
    id bigint,
    url text,
    title text,
    brief text,
    logo text,
    visitstotalcount bigint,
    bouncerate float,
    pagespervisit float,
    visitsavgdurationformatted text,
    rank float
)
language plpgsql
as $$
begin
return query
  select
    items.id,
    items.url,
    items.title,
    items.brief,
    items.logo,
    items.visitstotalcount,
    items.bouncerate,
    items.pagespervisit,
    items.visitsavgdurationformatted,
    ts_rank_cd(items.tsv, to_tsquery(query_string)) as rank
  from
    items
  where
    items.tsv @@ to_tsquery(query_string)
  order by
    rank DESC
  limit
    match_count;
end;
$$;