v4.2 (#217)

* fix: chat module link

* fix: url fetch check

* fix: import file ui

* feat: app logs

* perf: iframe icon

* imgs cdn

* perf: click range and pg

.github/imgs/logo.svg

@@ -0,0 +1,599 @@
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+</svg>

.github/workflows/deploy-docs.yml

@@ -0,0 +1,71 @@
+name: deploy-docs
+
+on:
+  workflow_dispatch:
+  push:
+    paths:
+      - 'docSite/**'
+    branches:
+      - 'main'
+    tags:
+      - 'v*.*.*'
+
+# A workflow run is made up of one or more jobs that can run sequentially or in parallel
+jobs:
+  # This workflow contains jobs "deploy-production"
+  deploy-production:
+    # The environment this job references
+    environment:
+      name: Production
+      url: ${{ steps.vercel-action.outputs.preview-url }}
+
+    # The type of runner that the job will run on
+    runs-on: ubuntu-22.04
+
+    # Job outputs
+    outputs:
+      docs: ${{ steps.filter.outputs.docs }}
+
+    # Steps represent a sequence of tasks that will be executed as part of the job
+    steps:
+      # Step 1 - Checks-out your repository under $GITHUB_WORKSPACE
+      - name: Checkout
+        uses: actions/checkout@v3
+        with:
+          submodules: recursive # Fetch submodules
+          fetch-depth: 0 # Fetch all history for .GitInfo and .Lastmod
+
+      # Step 2 Detect changes to Docs Content
+      - name: Detect changes in doc content
+        uses: dorny/paths-filter@v2
+        id: filter
+        with:
+          filters: |
+            docs:
+              - 'docSite/content/docs/**'
+          base: main
+
+      # Step 3 - Install Hugo (specific version)
+      - name: Install Hugo
+        uses: peaceiris/actions-hugo@v2
+        with:
+          hugo-version: '0.117.0'
+          extended: true
+
+      # Step 4 - Builds the site using Hugo
+      - name: Build
+        run: hugo -v --minify -s docSite
+        env:
+          HUGO_BASEURL: ${{ vars.BASE_URL }}
+
+      # Step 5 - Push our generated site to Vercel
+      - name: Deploy to Vercel
+        uses: amondnet/vercel-action@v25
+        id: vercel-action
+        with:
+          vercel-token: ${{ secrets.VERCEL_TOKEN }} # Required
+          vercel-org-id: ${{ secrets.VERCEL_ORG_ID }} #Required
+          vercel-project-id: ${{ secrets.VERCEL_PROJECT_ID }} #Required
+          github-comment: false
+          vercel-args: '--prod --local-config ../vercel.json' # Optional
+          working-directory: docSite/public

.github/workflows/fastgpt-image.yml

@@ -1,13 +1,15 @@
-name: Build images and copy image to docker
+name: Build fastgpt images and copy image to docker hub
 on:
   workflow_dispatch:
   push:
+    paths:
+      - 'client/**'
     branches:
       - 'main'
     tags:
       - 'v*.*.*'
 jobs:
-  build-images:
+  build-fastgpt-images:
     runs-on: ubuntu-20.04
     steps:
       - name: Checkout
@@ -52,7 +54,7 @@ jobs:
           -f Dockerfile \
           .
   push-to-docker-hub:
-    needs: build-images
+    needs: build-fastgpt-images
     runs-on: ubuntu-20.04
     steps:
       - name: Checkout code

.gitignore

@@ -5,6 +5,7 @@ node_modules/
 out/
 # production
 build/
+.astro/
 
 # misc
 .DS_Store
@@ -28,4 +29,8 @@ next-env.d.ts
 platform.json
 testApi/
 local/
-dist/
+dist/
+
+# hugo
+**/.hugo_build.lock
+docSite/public/

.vscode/settings.json

@@ -1,6 +1,15 @@
 {
-    "editor.formatOnSave": true, //每次保存自动格式化
+    "editor.formatOnSave": true,
     "editor.mouseWheelZoom": true,
-    "typescript.tsdk": "./client/node_modules/typescript/lib",
-    "prettier.prettierPath": "./node_modules/prettier"
+    "typescript.tsdk": "client/node_modules/typescript/lib",
+    "prettier.prettierPath": "./node_modules/prettier",
+    "i18n-ally.localesPaths": [
+        "client/public/locales"
+    ],
+    "i18n-ally.enabledParsers": ["json"],
+    "i18n-ally.keystyle": "nested",
+    "i18n-ally.sortKeys": true,
+    "i18n-ally.keepFulfilled": true,
+    "i18n-ally.sourceLanguage": "zh", // 根据此语言文件翻译其他语言文件的变量和内容
+    "i18n-ally.displayLanguage": "en", // 显示语言
 }

LICENSE

@@ -1,201 +1,35 @@
-                                 Apache License
-                           Version 2.0, January 2004
-                        http://www.apache.org/licenses/
+# FastGPT Open Source License
 
-   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+The FastGPT is licensed under the Apache License 2.0, with the following additional conditions:
 
-   1. Definitions.
+1. FastGPT is permitted to be used for commercialization. You can use FastGPT as a "backend-as-a-service" for your other applications, or delivering it to enterprises as an application development platform. However, when the following conditions are met, you must contact the producer to obtain a commercial license:
 
-      "License" shall mean the terms and conditions for use, reproduction,
-      and distribution as defined by Sections 1 through 9 of this document.
+a. Multi-tenant SaaS service: Unless explicitly authorized by FastGPT in writing, you may not use the FastGPT.AI source code to operate a multi-tenant SaaS service that is similar to the FastGPT.
+b. LOGO and copyright information: In the process of using FastGPT, you may not remove or moFastGPT the LOGO or copyright information in the FastGPT console.
 
-      "Licensor" shall mean the copyright owner or entity authorized by
-      the copyright owner that is granting the License.
+Please contact yujinlong@sealos.io by email to inquire about licensing matters.
 
-      "Legal Entity" shall mean the union of the acting entity and all
-      other entities that control, are controlled by, or are under common
-      control with that entity. For the purposes of this definition,
-      "control" means (i) the power, direct or indirect, to cause the
-      direction or management of such entity, whether by contract or
-      otherwise, or (ii) ownership of fifty percent (50%) or more of the
-      outstanding shares, or (iii) beneficial ownership of such entity.
+2. As a contributor, you should agree that your contributed code:
 
-      "You" (or "Your") shall mean an individual or Legal Entity
-      exercising permissions granted by this License.
+a. The producer can adjust the open-source agreement to be more strict or relaxed.
+b. Can be used for commercial purposes, such as FastGPT's cloud business.
 
-      "Source" form shall mean the preferred form for making modifications,
-      including but not limited to software source code, documentation
-      source, and configuration files.
+Apart from this, all other rights and restrictions follow the Apache License 2.0. If you need more detailed information, you can refer to the full version of Apache License 2.0.
 
-      "Object" form shall mean any form resulting from mechanical
-      transformation or translation of a Source form, including but
-      not limited to compiled object code, generated documentation,
-      and conversions to other media types.
+The interactive design of this product is protected by appearance patent.
 
-      "Work" shall mean the work of authorship, whether in Source or
-      Object form, made available under the License, as indicated by a
-      copyright notice that is included in or attached to the work
-      (an example is provided in the Appendix below).
+© 2023 Sealos.
 
-      "Derivative Works" shall mean any work, whether in Source or Object
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-      separable from, or merely link (or bind by name) to the interfaces of,
-      the Work and Derivative Works thereof.
+---
 
-      "Contribution" shall mean any work of authorship, including
-      the original version of the Work and any modifications or additions
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-      Licensor for the purpose of discussing and improving the Work, but
-      excluding communication that is conspicuously marked or otherwise
-      designated in writing by the copyright owner as "Not a Contribution."
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
 
-      "Contributor" shall mean Licensor and any individual or Legal Entity
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README.md

@@ -1,47 +1,121 @@
-# Fast GPT
+<div align="center">
 
-Fast GPT 允许你使用自己的 openai API KEY 来快速的调用 openai 接口，目前集成了 Gpt35, Gpt4 和 embedding. 可构建自己的知识库。
+<a href="https://fastgpt.run/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
+
+# FastGPT
+
+FastGPT 是一个基于 LLM 大语言模型的知识库问答系统，提供开箱即用的数据处理、模型调用等能力。同时可以通过 Flow 可视化进行工作流编排，从而实现复杂的问答场景！
+
+</div>
+
+<p align="center">
+  <a href="https://fastgpt.run/">线上体验</a>
+  ·
+  <a href="https://doc.fastgpt.run/docs/intro">相关文档</a>
+  ·
+  <a href="https://doc.fastgpt.run/docs/development">本地开发</a>
+  ·
+  <a href="https://github.com/labring/FastGPT#-%E7%9B%B8%E5%85%B3%E9%A1%B9%E7%9B%AE">相关项目</a>
+</p>
 
 ## 🛸 在线体验
 
-🎉 [fastgpt.run](https://fastgpt.run/)
-🎉 [ai.fastgpt.run](https://ai.fastgpt.run/)
+[fastgpt.run](https://fastgpt.run/)（服务器在新加坡，部分地区可能无法直连）
 
-![Demo](docs/imgs/demo.png?raw=true 'demo')
+|                                    |                                    |
+| ---------------------------------- | ---------------------------------- |
+| ![Demo](./.github/imgs/intro1.png) | ![Demo](./.github/imgs/intro2.png) |
+| ![Demo](./.github/imgs/intro3.png) | ![Demo](./.github/imgs/intro4.png) |
 
-#### 知识库原理图
+## 💡 功能
 
-![KBProcess](docs/imgs/KBProcess.jpg?raw=true 'KBProcess')
+1. 强大的可视化编排，轻松构建 AI 应用
+   - [x] 提供简易模式，无需操作编排
+   - [x] 用户对话前引导
+   - [x] 全局变量
+   - [x] 知识库搜索
+   - [x] 多 LLM 模型对话
+   - [x] 文本内容提取成结构化数据
+   - [x] HTTP 扩展
+   - [ ] 沙盒 JS 运行模块
+   - [ ] 连续对话引导
+   - [ ] 对话多路线选择
+   - [ ] 源文件引用追踪
+2. 丰富的知识库预处理
+   - [x] 多库复用，混用
+   - [x] chunk 记录修改和删除
+   - [x] 支持直接分段导入
+   - [x] 支持 QA 拆分导入
+   - [x] 支持手动输入内容
+   - [x] 支持 url 读取导入
+   - [x] 支持 CSV 批量导入问答对
+   - [ ] 支持知识库单独设置向量模型
+   - [ ] 源文件存储
+3. 多种效果测试渠道
+   - [x] 知识库单点搜索测试
+   - [x] 对话时反馈引用并可修改与删除
+   - [x] 完整上下文呈现
+   - [ ] 完整模块中间值呈现
+4. OpenAPI
+   - [x] completions 接口（对齐 GPT 接口）
+   - [ ] 知识库 CRUD
+5. 运营功能
+   - [x] 免登录分享窗口
+   - [x] Iframe 一键嵌入
+   - [ ] 统一查阅对话记录
 
 ## 👨‍💻 开发
 
-项目技术栈: NextJs + TS + ChakraUI + Mongo + Postgres（Vector 插件）  
-这是一个平台项目，非单机项目，除了模型调用外还涉及非常多用户的内容。  
-[本地开发 Quick Start](docs/dev/README.md)
+项目技术栈: NextJs + TS + ChakraUI + Mongo + Postgres（Vector 插件）
 
-## 🚀 私有化部署
+- **⚡ 快速部署**
 
-- [Sealos 部署](https://sealos.io/docs/examples/ai-applications/install-fastgpt-on-desktop) 无需服务器，代理和域名。
-- [docker-compose 部署](docs/deploy/docker.md)
-- [由社区贡献的宝塔部署和本地运行教程](https://space.bilibili.com/431177525/channel/collectiondetail?sid=1370663)
+  > Sealos 的服务器在国外，不需要额外处理网络问题，无需服务器、无需魔法、无需域名，支持高并发 & 动态伸缩。点击以下按钮即可一键部署 👇
 
-## :point_right: RoadMap
+  [![](https://cdn.jsdelivr.us/gh/labring-actions/templates@main/Deploy-on-Sealos.svg)](https://cloud.sealos.io/?openapp=system-fastdeploy%3FtemplateName%3Dfastgpt)
 
-- [FastGpt RoadMap](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte)
+  由于需要部署数据库，部署完后需要等待 2~4 分钟才能正常访问。默认用了最低配置，首次访问时会有些慢。
 
-## 🏘️ 交流群
+* [快开始本地开发](https://doc.fastgpt.run/docs/development)
+* [部署 FastGPT](https://doc.fastgpt.run/docs/installation)
+* [系统配置文件说明](https://doc.fastgpt.run/docs/installation/reference)
+* [多模型配置](https://doc.fastgpt.run/docs/installation/reference/models)
+* [版本升级](https://doc.fastgpt.run/docs/installation/upgrading)
+* [API 文档](https://kjqvjse66l.feishu.cn/docx/DmLedTWtUoNGX8xui9ocdUEjnNh?pre_pathname=%2Fdrive%2Fhome%2F)
 
-添加 wx 进入：  
-![Demo](https://otnvvf-imgs.oss.laf.run/wx300.jpg)
+## 🏘️ 社区交流群
+
+| 交流群                                              | 小助手                                         |
+| --------------------------------------------------- | ---------------------------------------------- |
+| ![](https://otnvvf-imgs.oss.laf.run/wxqun300-2.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) |
 
 ## 👀 其他
 
 - [FastGpt 常见问题](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
-- [公众号接入](https://www.bilibili.com/video/BV1xh4y1t7fy/)
-- [FastGpt + Laf 最佳实践，将知识库装入公众号，点击去 Laf 公众号体验效果](https://b4jky7-fastgpt.oss.laf.run/lafercode.png)
-- [FastGpt V3.4 更新集合](https://www.bilibili.com/video/BV1Lo4y147Qh/?vd_source=92041a1a395f852f9d89158eaa3f61b4)
+- [docker 部署教程视频](https://www.bilibili.com/video/BV1jo4y147fT/)
+- [公众号接入视频教程](https://www.bilibili.com/video/BV1xh4y1t7fy/)
 - [FastGpt 知识库演示](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
 
+## 💪 相关项目
+
+- [Laf: 3 分钟快速接入三方应用](https://github.com/labring/laf)
+- [Sealos: 快速部署集群应用](https://github.com/labring/sealos)
+- [One API: 多模型管理，支持 Azure、文心一言等](https://github.com/songquanpeng/one-api)
+- [TuShan: 5 分钟搭建后台管理系统](https://github.com/msgbyte/tushan)
+
+## 🤝 第三方生态
+
+- [luolinAI: 企微机器人，开箱即用](https://github.com/luolin-ai/FastGPT-Enterprise-WeChatbot)
+
 ## 🌟 Star History
 
-[![Star History Chart](https://api.star-history.com/svg?repos=c121914yu/FastGPT&type=Date)](https://star-history.com/#c121914yu/FastGPT&Date)
+[![Star History Chart](https://api.star-history.com/svg?repos=labring/FastGPT&type=Date)](https://star-history.com/#labring/FastGPT&Date)
+
+## 使用协议
+
+本仓库遵循 [FstGPT Open Source License](./LICENSE) 开源协议。
+
+1. 允许作为后台服务直接商用，但不允许直接使用 saas 服务商用。
+2. 需保留相关版权信息。
+3. 完整请查看 [FstGPT Open Source License](./LICENSE)
+4. 联系方式：yujinlong@sealos.io, [点击查看定价策略](https://fael3z0zfze.feishu.cn/docx/F155dbirfo8vDDx2WgWc6extnwf)

README_en.md

@@ -0,0 +1,115 @@
+<div align="center">
+<a href="https://fastgpt.run/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
+
+# FastGPT
+
+FastGPT is a knowledge-based question answering system based on the LLM language model, providing out-of-the-box capabilities for data processing, model invocation, and more. It also allows for complex question answering scenarios through visual workflow orchestration using Flow!
+
+</div>
+
+<p align="center">
+<a href="https://fastgpt.run/">Online</a>
+·
+<a href="https://doc.fastgpt.run/docs/intro">Document</a>
+·
+<a href="https://doc.fastgpt.run/docs/development">Development</a>
+·
+<a href="https://doc.fastgpt.run/docs/installation">Deploy</a>
+·
+<a href="#powered-by">Power By</a>
+</p>
+
+## 🛸 Online
+
+[fastgpt.run](https://fastgpt.run/)
+| | |
+| ---------------------------------- | ---------------------------------- |
+| ![Demo](./.github/imgs/intro1.png) | ![Demo](./.github/imgs/intro2.png) |
+| ![Demo](./.github/imgs/intro3.png) | ![Demo](./.github/imgs/intro4.png) |
+
+## 💡 Features
+
+1. Powerful visual orchestration for easy AI application building
+
+   - [x] Provides a simple mode without the need for orchestration operations
+   - [x] User dialogue pre-guidance
+   - [x] Global variables
+   - [x] Knowledge base search
+   - [x] Multi-LLM model dialogue
+   - [x] Extraction of text content into structured data
+   - [x] HTTP extension
+   - [ ] Sandbox JS runtime module
+   - [ ] Continuous dialogue guidance
+   - [ ] Dialogue multi-path selection
+   - [ ] Source file reference tracking
+
+2. Rich knowledge base preprocessing
+
+   - [x] Multiple library reuse and mixing
+   - [x] Chunk record modification and deletion
+   - [x] Supports direct segment import
+   - [x] Supports QA split import
+   - [x] Supports manual input content
+   - [ ] Supports URL import reading
+   - [x] Supports batch import of Q&A pairs in CSV format
+   - [ ] Supports separate vector model settings for knowledge bases
+   - [ ] Source file storage
+
+3. Multiple effect testing channels
+
+   - [x] Knowledge base single point search testing
+   - [x] Feedback references and ability to modify and delete during dialogue
+   - [x] Complete context presentation
+   - [ ] Complete module intermediate value presentation
+
+4. OpenAPI
+
+   - [x] completions interface (aligned with GPT interface)
+   - [ ] Knowledge base CRUD
+
+5. Operational functions
+
+   - [x] Login-free sharing window
+   - [x] One-click embedding with Iframe
+   - [ ] Unified access to dialogue records
+
+## 👨‍💻 Development
+
+Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)
+
+- [Getting Started with Local Development](https://doc.fastgpt.run/docs/development)
+- [Deploying FastGPT](https://doc.fastgpt.run/docs/installation)
+- [System Configuration File Explanation](https://doc.fastgpt.run/docs/installation/reference)
+- [Multi-model Configuration](https://doc.fastgpt.run/docs/installation/reference/models)
+- [V3 Upgrade V4 Initialization](https://doc.fastgpt.run/docs/installation/upgrading)
+
+<!-- ## :point_right: RoadMap
+- [FastGpt RoadMap](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte) -->
+
+<!-- ## 🏘️ Community
+
+| Community Group                                   | Assistant                                      |
+| ------------------------------------------------- | ---------------------------------------------- |
+| ![](https://otnvvf-imgs.oss.laf.run/wxqun300.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) | -->
+
+## 👀 Others
+
+- [FastGpt FAQ](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
+- [Docker Deployment Tutorial Video](https://www.bilibili.com/video/BV1jo4y147fT/)
+- [Official Account Integration Video Tutorial](https://www.bilibili.com/video/BV1xh4y1t7fy/)
+- [FastGpt Knowledge Base Demo](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
+
+## 💪 Related Projects
+
+- [Laf: 3-minute quick access to third-party applications](https://github.com/labring/laf)
+- [Sealos: Rapid deployment of cluster applications](https://github.com/labring/sealos)
+- [One API: Multi-model management, supports Azure, Wenxin Yiyuan, etc.](https://github.com/songquanpeng/one-api)
+- [TuShan: Build a backend management system in 5 minutes](https://github.com/msgbyte/tushan)
+
+## 🤝 Third-party Ecosystem
+
+- [luolinAI: Enterprise WeChat bot, ready to use](https://github.com/luolin-ai/FastGPT-Enterprise-WeChatbot)
+
+## 🌟 Star History
+
+[![Star History Chart](https://api.star-history.com/svg?repos=labring/FastGPT&type=Date)](https://star-history.com/#labring/FastGPT&Date)

admin/.dockerignore

@@ -1,11 +0,0 @@
-Dockerfile
-.dockerignore
-node_modules
-npm-debug.log
-README.md
-.git
-
-.yalc/
-yalc.lock
-testApi/
-node_modules

admin/.env.template

@@ -1,8 +0,0 @@
-MONGODB_URI=mongodb://username:psw@0.0.0.0:27017/?authSource=admin
-MONGODB_NAME=fastgpt
-ADMIN_USER=username
-ADMIN_PASS=password
-ADMIN_SECRET=any
-PARENT_URL=http://localhost:3000 # FastGpt服务的地址
-PARENT_ROOT_KEY=rootkey # FastGpt 的rootkey
-VITE_PUBLIC_SERVER_URL=http://localhost:3001 # 和server.js一致

admin/.gitignore

@@ -1 +0,0 @@
-node_modules/

admin/Dockerfile

@@ -1,48 +0,0 @@
-# Install dependencies only when needed
-FROM node:current-alpine AS builder
-RUN npm config set registry https://registry.npmmirror.com/
-RUN apk add --no-cache libc6-compat && npm install -g pnpm
-RUN pnpm config set registry https://registry.npmmirror.com/
-
-WORKDIR /app
-ENV NEXT_TELEMETRY_DISABLED 1
-ENV VITE_PUBLIC_SERVER_URL ''
-# Install dependencies based on the preferred package manager
-COPY . .
-RUN \
-  [ -f pnpm-lock.yaml ] && pnpm install || \
-  (echo "Lockfile not found." && exit 1)
-
-RUN pnpm build
-
-# Production image, copy all the files and run next
-FROM node:current-alpine AS runner
-WORKDIR /app
-
-ENV NODE_ENV production
-ENV NEXT_TELEMETRY_DISABLED 1
-
-RUN addgroup --system --gid 1001 nodejs
-RUN adduser --system --uid 1001 nextjs
-
-RUN sed -i 's/https/http/' /etc/apk/repositories
-RUN apk add curl \
-  && apk add ca-certificates \
-  && update-ca-certificates
-
-COPY package.json pnpm-lock.yaml* ./
-COPY --from=builder /app/server.js ./server.js
-COPY --from=builder /app/service ./service
-COPY --from=builder /app/dist ./dist
-
-RUN npm config set registry https://registry.npmmirror.com/
-RUN npm install -g pnpm
-RUN pnpm config set registry https://registry.npmmirror.com/
-RUN pnpm install --prod
-RUN npm remove -g pnpm
-
-ENV PORT=3001
-
-EXPOSE 3001
-
-CMD ["node", "server.js"]

admin/LICENSE

@@ -1,201 +0,0 @@
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-                           Version 2.0, January 2004
-                        http://www.apache.org/licenses/
-
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-      of any other Contributor, and only if You agree to indemnify,
-      defend, and hold each Contributor harmless for any liability
-      incurred by, or claims asserted against, such Contributor by reason
-      of your accepting any such warranty or additional liability.
-
-   END OF TERMS AND CONDITIONS
-
-   APPENDIX: How to apply the Apache License to your work.
-
-      To apply the Apache License to your work, attach the following
-      boilerplate notice, with the fields enclosed by brackets "[]"
-      replaced with your own identifying information. (Don't include
-      the brackets!)  The text should be enclosed in the appropriate
-      comment syntax for the file format. We also recommend that a
-      file or class name and description of purpose be included on the
-      same "printed page" as the copyright notice for easier
-      identification within third-party archives.
-
-   Copyright [yyyy] [name of copyright owner]
-
-   Licensed under the Apache License, Version 2.0 (the "License");
-   you may not use this file except in compliance with the License.
-   You may obtain a copy of the License at
-
-       http://www.apache.org/licenses/LICENSE-2.0
-
-   Unless required by applicable law or agreed to in writing, software
-   distributed under the License is distributed on an "AS IS" BASIS,
-   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-   See the License for the specific language governing permissions and
-   limitations under the License.

admin/README.md

@@ -1,41 +0,0 @@
-# FastGpt Admin
-
-## 项目原理
-
-使用 tushan 项目做前端，然后构造了一个与 mongodb 做沟通的 API 做后端，可以做到创建、修改和删除用户
-
-## 开发
-
-1. 复制 .env.template 文件，添加环境变量
-2. pnpm i
-3. pnpm dev
-
-## 部署
-
-1. 本地打包
-
-`docker build -t registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-admin:latest . --network host  --build-arg HTTP_PROXY=http://127.0.0.1:7890 --build-arg HTTPS_PROXY=http://127.0.0.1:7890`
-
-2. 直接拉镜像: `registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-admin:latest`
-3. 部署时候填写环境变量: 数据库同 FastGpt 一致
-
-```
-MONGODB_URI=mongodb://username:psw@0.0.0.0:27017/?authSource=admin
-MONGODB_NAME=fastgpt
-ADMIN_USER=username
-ADMIN_PASS=password
-ADMIN_SECRET=any
-VITE_PUBLIC_SERVER_URL=http://localhost:3001 # 和server.js一致
-```
-
-## sealos 部署
-
-1. 进入 sealos 官网: https://cloud.sealos.io/
-2. 打开 App Launchpad(应用管理) 工具
-3. 新建应用
-   1. 镜像名: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-admin:latest
-   2. 容器端口: 3001
-   3. 环境变量: 参考上面
-   4. 打开外网访问开关
-4. 点击部署。 完成后大约等待 1 分钟，
-5. 点击 sealos 提供的外网访问地址，可以直接访问。

admin/index.html

@@ -1,13 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-  <head>
-    <meta charset="UTF-8" />
-    <link rel="icon" type="image/svg+xml" href="/logo.svg" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>Tushan</title>
-  </head>
-  <body>
-    <div id="root"></div>
-    <script type="module" src="/src/main.tsx"></script>
-  </body>
-</html>

admin/package.json

@@ -1,41 +0,0 @@
-{
-  "name": "kbgpt-deafult",
-  "private": true,
-  "version": "0.0.0",
-  "type": "module",
-  "author": "anonymous",
-  "scripts": {
-    "dev": "concurrently \"vite\" \"npm run start:api\"",
-    "build": "tsc && vite build",
-    "preview": "vite preview",
-    "start:api": "nodemon server.js"
-  },
-  "dependencies": {
-    "@arco-design/web-react": "^2.49.1",
-    "concurrently": "^8.1.0",
-    "cors": "^2.8.5",
-    "crypto": "^1.0.1",
-    "dayjs": "^1.11.8",
-    "dotenv": "^16.1.4",
-    "express": "^4.18.2",
-    "jsonwebtoken": "^9.0.0",
-    "mongoose": "^7.2.2",
-    "react": "^18.2.0",
-    "react-admin": "^4.11.0",
-    "react-dom": "^18.2.0",
-    "react-i18next": "^12.3.1",
-    "tushan": "^0.2.22"
-  },
-  "devDependencies": {
-    "@types/jsonexport": "^3.0.2",
-    "@types/lodash-es": "^4.17.7",
-    "@types/node": "^20.2.5",
-    "@types/react": "^18.0.28",
-    "@types/react-dom": "^18.0.11",
-    "@types/react-helmet": "^6.1.6",
-    "@types/styled-components": "^5.1.26",
-    "@vitejs/plugin-react": "^3.1.0",
-    "typescript": "^4.9.2",
-    "vite": "^4.2.1"
-  }
-}

admin/public/logo.svg

@@ -1,10 +0,0 @@
-<svg width="512" height="512" viewBox="0 0 512 512" fill="none" xmlns="http://www.w3.org/2000/svg">
-<path d="M28 88L49.5 57L118.5 29.5L248 51L323.5 122.5L360.5 324L301 421.5L164.5 412.5L118.5 324L127.5 225.5L143.5 184.5L151.5 130.5L127.5 95L82.5 80L49.5 95L28 88Z" fill="#DFDFDF"/>
-<path d="M144.734 22.04C139.186 22.0047 133.638 22.1568 128.1 22.496C84.33 25.196 40.5 49 24.238 67.492C7.97598 85.984 4 91.601 4 91.601C4 91.601 34.922 98.392 57 97.5C79.078 96.608 111.355 88.82 127.692 104.564C144.032 120.309 151.428 146.017 135.232 175.709C116.062 210.852 102.516 271.862 115.086 332.235C127.656 392.609 168.054 451.995 254.814 478.007C288.29 488.043 333.639 494.757 376.459 485.673C420.966 476.885 472.309 450.915 483.351 422.563C474.101 431.448 463.911 437.703 453.149 442.353C471.455 421.433 484.884 392.621 489.939 354.179L492.469 334.939L476.147 345.435C465.644 352.19 455.562 358.838 446.054 363.831C448.692 357.959 451.092 350.611 453.784 341.054C442.687 356.244 430.054 366.409 415.186 372.526C405.952 372.023 396.833 367.659 385.976 356.429C374.618 344.682 367.856 324.334 363.513 298.763C359.169 273.191 357.053 242.836 352.845 211.886C344.425 149.984 326.933 84.013 263.105 50.851C226.15 31.651 184.013 22.274 144.733 22.038L144.734 22.04ZM144.611 40.05C181.073 40.305 220.721 49.115 254.808 66.824C311.201 96.124 326.802 153.964 335.011 214.312C339.115 244.487 341.197 274.866 345.769 301.777C347.085 309.53 348.604 317.019 350.462 324.162C335.014 324.202 323.208 315.855 308.758 299.445C316.143 329.855 320.748 335.979 334.463 354.995C306.243 346.76 273.823 320.255 253.513 290.932C250.239 330.979 273.736 362.506 286.788 374.862C261.612 360.666 226.075 333.326 202.165 286.207C201.149 327.633 214.095 373.939 238.615 402.672C204.1 391.136 173.645 303.2 153.195 275.039C140.155 308.256 150.247 364.124 169.267 405.161C149.639 382.323 138.38 355.786 132.712 328.565C121.188 273.223 134.462 214.718 151.037 184.327C170.587 148.485 161.952 112.577 140.187 91.601C118.419 70.625 66 81 53.633 83.286C41.266 85.572 31 83.286 31 83.286C31 83.286 41.3371 75.1684 48 70C74.6656 49.3155 88.786 42.954 129.211 40.461C134.263 40.149 139.406 40.011 144.614 40.047L144.611 40.05Z" fill="url(#paint0_linear_1104_3)"/>
-<defs>
-<linearGradient id="paint0_linear_1104_3" x1="384.5" y1="480" x2="256" y2="256" gradientUnits="userSpaceOnUse">
-<stop stop-color="#FF6011"/>
-<stop offset="1" stop-color="#FF9411"/>
-</linearGradient>
-</defs>
-</svg>

admin/server.js

@@ -1,21 +0,0 @@
-import express from 'express';
-import cors from 'cors';
-import { useUserRoute } from './service/route/user.js';
-import { useAppRoute } from './service/route/app.js';
-import { useKbRoute } from './service/route/kb.js';
-import { useSystemRoute } from './service/route/system.js';
-
-const app = express();
-app.use(cors());
-app.use(express.json());
-app.use(express.static('dist'));
-
-useUserRoute(app);
-useAppRoute(app);
-useKbRoute(app);
-useSystemRoute(app);
-
-const PORT = process.env.PORT || 3001;
-app.listen(PORT, () => {
-  console.log(`Server is running on port ${PORT}`);
-});

admin/service/route/app.js

@@ -1,57 +0,0 @@
-import { User, Model, Kb } from '../schema.js';
-import { auth } from './system.js';
-
-export const useAppRoute = (app) => {
-  // 获取AI助手列表
-  app.get('/models', auth(), async (req, res) => {
-    try {
-      const start = parseInt(req.query._start) || 0;
-      const end = parseInt(req.query._end) || 20;
-      const order = req.query._order === 'DESC' ? -1 : 1;
-      const sort = req.query._sort || '_id';
-      const userId = req.query.userId || '';
-      const name = req.query.name || '';
-      const where = {
-        ...(userId ? { userId: userId } : {}),
-        name
-      };
-
-      const modelsRaw = await Model.find()
-        .skip(start)
-        .limit(end - start)
-        .sort({ [sort]: order });
-
-      const models = [];
-
-      for (const modelRaw of modelsRaw) {
-        const model = modelRaw.toObject();
-
-        // 获取与模型关联的知识库名称
-        const kbNames = [];
-        for (const kbId of model.chat.relatedKbs) {
-          const kb = await Kb.findById(kbId);
-          kbNames.push(kb.name);
-        }
-
-        const orderedModel = {
-          id: model._id.toString(),
-          userId: model.userId,
-          name: model.name,
-          relatedKbs: kbNames, // 将relatedKbs的id转换为相应的Kb名称
-          searchMode: model.chat?.searchMode,
-          systemPrompt: model.chat?.systemPrompt || '',
-          temperature: model.chat?.temperature
-        };
-
-        models.push(orderedModel);
-      }
-      const totalCount = await Model.countDocuments();
-      res.header('Access-Control-Expose-Headers', 'X-Total-Count');
-      res.header('X-Total-Count', totalCount);
-      res.json(models);
-    } catch (err) {
-      console.log(`Error fetching models: ${err}`);
-      res.status(500).json({ error: 'Error fetching models', details: err.message });
-    }
-  });
-};

admin/service/route/kb.js

@@ -1,44 +0,0 @@
-import { Kb } from '../schema.js';
-import { auth } from './system.js';
-
-export const useKbRoute = (app) => {
-  // 获取用户知识库列表
-  app.get('/kbs', auth(), async (req, res) => {
-    try {
-      const start = parseInt(req.query._start) || 0;
-      const end = parseInt(req.query._end) || 20;
-      const order = req.query._order === 'DESC' ? -1 : 1;
-      const sort = req.query._sort || '_id';
-      const tag = req.query.tag || '';
-      const where = { tags: { $elemMatch: { $regex: tag, $options: 'i' } } };
-
-      const kbsRaw = await Kb.find(where)
-        .skip(start)
-        .limit(end - start)
-        .sort({ [sort]: order });
-
-      const kbs = [];
-
-      for (const kbRaw of kbsRaw) {
-        const kb = kbRaw.toObject();
-
-        const orderedKb = {
-          id: kb._id.toString(),
-          userId: kb.userId,
-          name: kb.name,
-          tags: kb.tags,
-          avatar: kb.avatar
-        };
-
-        kbs.push(orderedKb);
-      }
-      const totalCount = await Kb.countDocuments(where);
-      res.header('Access-Control-Expose-Headers', 'X-Total-Count');
-      res.header('X-Total-Count', totalCount);
-      res.json(kbs);
-    } catch (err) {
-      console.log(`Error fetching kbs: ${err}`);
-      res.status(500).json({ error: 'Error fetching kbs', details: err.message });
-    }
-  });
-};

admin/service/route/system.js

@@ -1,134 +0,0 @@
-import jwt from 'jsonwebtoken';
-import { System } from '../schema.js';
-
-const adminAuth = {
-  username: process.env.ADMIN_USER,
-  password: process.env.ADMIN_PASS
-};
-const authSecret = process.env.ADMIN_SECRET;
-
-const postParent = () => {
-  fetch(`${process.env.PARENT_URL}/api/system/updateEnv`, {
-    headers: {
-      rootkey: process.env.PARENT_ROOT_KEY
-    }
-  });
-};
-
-export const useSystemRoute = (app) => {
-  app.post('/api/login', (req, res) => {
-    if (!adminAuth.username || !adminAuth.password) {
-      res.status(401).end('Server not set env: ADMIN_USER, ADMIN_PASS');
-      return;
-    }
-
-    const { username, password } = req.body;
-
-    if (username === adminAuth.username && password === adminAuth.password) {
-      // 用户名和密码都正确，返回token
-      const token = jwt.sign(
-        {
-          username,
-          platform: 'admin'
-        },
-        authSecret,
-        {
-          expiresIn: '2h'
-        }
-      );
-
-      res.json({
-        username,
-        token: token,
-        expiredAt: new Date().valueOf() + 2 * 60 * 60 * 1000
-      });
-    } else {
-      res.status(401).end('username or password incorrect');
-    }
-  });
-  app.get('/system', auth(), async (req, res) => {
-    try {
-      const data = await System.find();
-      const totalCount = await System.countDocuments();
-
-      res.header('Access-Control-Expose-Headers', 'X-Total-Count');
-      res.header('X-Total-Count', totalCount);
-      res.json(
-        data.map((item) => {
-          const obj = item.toObject();
-          return {
-            ...obj,
-            id: obj._id
-          };
-        })
-      );
-    } catch (error) {
-      console.log(error);
-
-      res.status(500).json({ error: 'Error creating system env' });
-    }
-  });
-  app.post('/system', auth(), async (req, res) => {
-    try {
-      await System.create({
-        ...req.body,
-        sensitiveCheck: req.body.sensitiveCheck === 'true'
-      });
-      postParent();
-      res.json({});
-    } catch (error) {
-      res.status(500).json({ error: 'Error creating system env' });
-    }
-  });
-  app.put('/system/:id', auth(), async (req, res) => {
-    try {
-      const _id = req.params.id;
-      await System.findByIdAndUpdate(_id, {
-        ...req.body,
-        sensitiveCheck: req.body.sensitiveCheck === 'true'
-      });
-      postParent();
-      res.json({});
-    } catch (error) {
-      res.status(500).json({ error: 'Error updating system env' });
-    }
-  });
-  app.delete('/system/:id', auth(), async (req, res) => {
-    try {
-      const _id = req.params.id;
-      await System.findByIdAndDelete(_id);
-
-      res.json({});
-    } catch (error) {
-      res.status(500).json({ error: 'Error updating system env' });
-    }
-  });
-};
-
-export const auth = () => {
-  return (req, res, next) => {
-    try {
-      const authorization = req.headers.authorization;
-      if (!authorization) {
-        res.status(401).end('not found authorization in headers');
-        return;
-      }
-
-      const token = authorization.slice('Bearer '.length);
-
-      const payload = jwt.verify(token, authSecret);
-      if (typeof payload === 'string') {
-        res.status(401).end('payload type error');
-        return;
-      }
-      if (payload.platform !== 'admin') {
-        res.status(401).end('Payload invalid');
-        return;
-      }
-
-      next();
-    } catch (err) {
-      res.status(401).end(String(err));
-    }
-  };
-};

admin/service/route/user.js

@@ -1,136 +0,0 @@
-import { User, Pay } from '../schema.js';
-import dayjs from 'dayjs';
-import { auth } from './system.js';
-import crypto from 'crypto';
-
-// 加密
-const hashPassword = (psw) => {
-  return crypto.createHash('sha256').update(psw).digest('hex');
-};
-
-export const useUserRoute = (app) => {
-  // 获取用户列表
-  app.get('/users', auth(), async (req, res) => {
-    try {
-      const start = parseInt(req.query._start) || 0;
-      const end = parseInt(req.query._end) || 20;
-      const order = req.query._order === 'DESC' ? -1 : 1;
-      const sort = req.query._sort || 'createTime';
-      const username = req.query.username || '';
-      const where = {
-        username: { $regex: username, $options: 'i' }
-      };
-
-      const usersRaw = await User.find(where)
-        .skip(start)
-        .limit(end - start)
-        .sort({ [sort]: order });
-
-      const users = usersRaw.map((user) => {
-        const obj = user.toObject();
-        return {
-          ...obj,
-          id: obj._id,
-          createTime: dayjs(obj.createTime).format('YYYY/MM/DD HH:mm'),
-          password: ''
-        };
-      });
-
-      const totalCount = await User.countDocuments(where);
-
-      res.header('Access-Control-Expose-Headers', 'X-Total-Count');
-      res.header('X-Total-Count', totalCount);
-      res.json(users);
-    } catch (err) {
-      console.log(`Error fetching users: ${err}`);
-      res.status(500).json({ error: 'Error fetching users' });
-    }
-  });
-
-  // 创建用户
-  app.post('/users', auth(), async (req, res) => {
-    try {
-      const { username, password, balance } = req.body;
-      if (!username || !password || !balance) {
-        return res.status(400).json({ error: 'Invalid user information' });
-      }
-      const existingUser = await User.findOne({ username });
-      if (existingUser) {
-        return res.status(400).json({ error: 'Username already exists' });
-      }
-
-      const result = await User.create({
-        username,
-        password,
-        balance
-      });
-      res.json(result);
-    } catch (err) {
-      console.log(`Error creating user: ${err}`);
-      res.status(500).json({ error: 'Error creating user' });
-    }
-  });
-
-  // 修改用户信息
-  app.put('/users/:id', auth(), async (req, res) => {
-    try {
-      const _id = req.params.id;
-
-      let { password, balance = 0 } = req.body;
-
-      const result = await User.findByIdAndUpdate(_id, {
-        ...(password && { password: hashPassword(hashPassword(password)) }),
-        ...(balance && { balance })
-      });
-      res.json(result);
-    } catch (err) {
-      console.log(`Error updating user: ${err}`);
-      res.status(500).json({ error: 'Error updating user' });
-    }
-  });
-
-  // 新增: 获取 pays 列表
-  app.get('/pays', auth(), async (req, res) => {
-    try {
-      const start = parseInt(req.query._start) || 0;
-      const end = parseInt(req.query._end) || 20;
-      const order = req.query._order === 'DESC' ? -1 : 1;
-      const sort = req.query._sort || '_id';
-      const userId = req.query.userId || '';
-      const where = userId ? { userId: userId } : {};
-
-      const paysRaw = await Pay.find({
-        ...where
-      })
-        .skip(start)
-        .limit(end - start)
-        .sort({ [sort]: order });
-
-      const pays = [];
-
-      for (const payRaw of paysRaw) {
-        const pay = payRaw.toObject();
-
-        const orderedPay = {
-          id: pay._id.toString(),
-          userId: pay.userId,
-          price: pay.price,
-          orderId: pay.orderId,
-          status: pay.status,
-          createTime: dayjs(pay.createTime).format('YYYY/MM/DD HH:mm')
-        };
-
-        pays.push(orderedPay);
-      }
-      const totalCount = await Pay.countDocuments({
-        ...where
-      });
-      res.header('Access-Control-Expose-Headers', 'X-Total-Count');
-      res.header('X-Total-Count', totalCount);
-      res.json(pays);
-    } catch (err) {
-      console.log(`Error fetching pays: ${err}`);
-      res.status(500).json({ error: 'Error fetching pays', details: err.message });
-    }
-  });
-};

admin/service/schema.js

@@ -1,122 +0,0 @@
-import mongoose from 'mongoose';
-import dotenv from 'dotenv';
-
-dotenv.config({ path: '.env.local' });
-
-const mongoUrl = process.env.MONGODB_URI;
-const mongoDBName = process.env.MONGODB_NAME;
-
-if (!mongoUrl || !mongoDBName) {
-  throw new Error('db error');
-}
-
-mongoose
-  .connect(mongoUrl, {
-    dbName: mongoDBName,
-    bufferCommands: true,
-    maxPoolSize: 5,
-    minPoolSize: 1,
-    maxConnecting: 5
-  })
-  .then(() => console.log('Connected to MongoDB successfully!'))
-  .catch((err) => console.log(`Error connecting to MongoDB: ${err}`));
-
-const userSchema = new mongoose.Schema({
-  _id: mongoose.Schema.Types.ObjectId,
-  username: String,
-  password: String,
-  balance: Number,
-  promotion: {
-    rate: Number
-  },
-  openaiKey: String,
-  avatar: String,
-  createTime: Date
-});
-
-// 新增: 定义 pays 模型
-const paySchema = new mongoose.Schema({
-  _id: mongoose.Schema.Types.ObjectId,
-  userId: mongoose.Schema.Types.ObjectId,
-  price: Number,
-  orderId: String,
-  status: String,
-  createTime: Date,
-  __v: Number
-});
-
-// 新增: 定义 kb 模型
-const kbSchema = new mongoose.Schema({
-  _id: mongoose.Schema.Types.ObjectId,
-  userId: mongoose.Schema.Types.ObjectId,
-  avatar: String,
-  name: String,
-  tags: [String],
-  updateTime: Date,
-  __v: Number
-});
-
-const modelSchema = new mongoose.Schema({
-  userId: mongoose.Schema.Types.ObjectId,
-  name: String,
-  avatar: String,
-  status: String,
-  chat: {
-    relatedKbs: [mongoose.Schema.Types.ObjectId],
-    searchMode: String,
-    systemPrompt: String,
-    temperature: Number,
-    chatModel: String
-  },
-  share: {
-    isShare: Boolean,
-    isShareDetail: Boolean,
-    intro: String,
-    collection: Number
-  },
-  security: {
-    domain: [String],
-    contextMaxLen: Number,
-    contentMaxLen: Number,
-    expiredTime: Number,
-    maxLoadAmount: Number
-  },
-  updateTime: Date
-});
-
-const SystemSchema = new mongoose.Schema({
-  openAIKeys: {
-    type: String,
-    default: ''
-  },
-  openAITrainingKeys: {
-    type: String,
-    default: ''
-  },
-  gpt4Key: {
-    type: String,
-    default: ''
-  },
-  vectorMaxProcess: {
-    type: Number,
-    default: 10
-  },
-  qaMaxProcess: {
-    type: Number,
-    default: 10
-  },
-  pgIvfflatProbe: {
-    type: Number,
-    default: 10
-  },
-  sensitiveCheck: {
-    type: Boolean,
-    default: false
-  }
-});
-
-export const Model = mongoose.models['model'] || mongoose.model('model', modelSchema);
-export const Kb = mongoose.models['kb'] || mongoose.model('kb', kbSchema);
-export const User = mongoose.models['user'] || mongoose.model('user', userSchema);
-export const Pay = mongoose.models['pay'] || mongoose.model('pay', paySchema);
-export const System = mongoose.models['system'] || mongoose.model('system', SystemSchema);

admin/src/App.tsx

@@ -1,105 +0,0 @@
-import {
-  createTextField,
-  jsonServerProvider,
-  ListTable,
-  Resource,
-  Tushan,
-  fetchJSON
-} from 'tushan';
-import { authProvider } from './auth';
-import { userFields, payFields, kbFields, ModelFields, SystemFields } from './fields';
-import { Dashboard } from './Dashboard';
-
-const authStorageKey = 'tushan:auth';
-
-const httpClient: typeof fetchJSON = (url, options = {}) => {
-  try {
-    if (!options.headers) {
-      options.headers = new Headers({ Accept: 'application/json' });
-    }
-    const { token } = JSON.parse(window.localStorage.getItem(authStorageKey) ?? '{}');
-    (options.headers as Headers).set('Authorization', `Bearer ${token}`);
-
-    return fetchJSON(url, options);
-  } catch (err) {
-    return Promise.reject();
-  }
-};
-
-const dataProvider = jsonServerProvider(import.meta.env.VITE_PUBLIC_SERVER_URL, httpClient);
-
-function App() {
-  return (
-    <Tushan
-      basename="/"
-      header={'FastGpt-Admin'}
-      dataProvider={dataProvider}
-      authProvider={authProvider}
-      dashboard={<Dashboard />}
-    >
-      <Resource
-        name="users"
-        label="用户信息"
-        list={
-          <ListTable
-            filter={[
-              createTextField('username', {
-                label: 'username'
-              })
-            ]}
-            fields={userFields}
-            action={{ detail: true, edit: true }}
-          />
-        }
-      />
-
-      <Resource
-        name="pays"
-        label="支付记录"
-        list={
-          <ListTable
-            filter={[
-              createTextField('userId', {
-                label: 'userId'
-              })
-            ]}
-            fields={payFields}
-            action={{ detail: true }}
-          />
-        }
-      />
-      <Resource
-        name="kbs"
-        label="知识库"
-        list={
-          <ListTable
-            filter={[
-              createTextField('tag', {
-                label: 'tag'
-              })
-            ]}
-            fields={kbFields}
-            action={{ detail: true }}
-          />
-        }
-      />
-      <Resource
-        name="models"
-        label="应用"
-        list={<ListTable fields={ModelFields} action={{ detail: true }} />}
-      />
-      <Resource
-        name="system"
-        label="系统"
-        list={
-          <ListTable
-            fields={SystemFields}
-            action={{ detail: true, edit: true, create: true, delete: true }}
-          />
-        }
-      />
-    </Tushan>
-  );
-}
-
-export default App;

admin/src/Dashboard.tsx

@@ -1,143 +0,0 @@
-import { Card, Link, Space, Grid, Divider, Typography } from '@arco-design/web-react';
-import { IconApps, IconUser, IconUserGroup } from 'tushan/icon';
-import React, { useState, useEffect } from 'react';
-import { useTranslation } from 'react-i18next';
-
-const authStorageKey = 'tushan:auth';
-
-export const Dashboard: React.FC = React.memo(() => {
-  const [userCount, setUserCount] = useState(0); //用户数量
-  const [kbCount, setkbCount] = useState(0);
-  const [modelCount, setmodelCount] = useState(0);
-  useEffect(() => {
-    const fetchCounts = async () => {
-      const baseUrl = import.meta.env.VITE_PUBLIC_SERVER_URL;
-      const { token } = JSON.parse(window.localStorage.getItem(authStorageKey) ?? '{}');
-
-      const headers = {
-        'Content-Type': 'application/json',
-        Authorization: `Bearer ${token}`
-      };
-      const userResponse = await fetch(`${baseUrl}/users?_end=1`, {
-        headers
-      });
-      const kbResponse = await fetch(`${baseUrl}/kbs?_end=1`, {
-        headers
-      });
-      const modelResponse = await fetch(`${baseUrl}/models?_end=1`, {
-        headers
-      });
-
-      const userTotalCount = userResponse.headers.get('X-Total-Count');
-      const kbTotalCount = kbResponse.headers.get('X-Total-Count');
-      const modelTotalCount = modelResponse.headers.get('X-Total-Count');
-      console.log(userTotalCount);
-
-      if (userTotalCount) {
-        setUserCount(Number(userTotalCount));
-      }
-      if (kbTotalCount) {
-        setkbCount(Number(kbTotalCount));
-      }
-      if (modelTotalCount) {
-        setmodelCount(Number(modelTotalCount));
-      }
-    };
-
-    fetchCounts();
-  }, []);
-
-  return (
-    <div>
-      <div>
-        <Space direction="vertical" style={{ width: '100%' }}>
-          <Card bordered={false}>
-            <Typography.Title heading={5}>FastGpt Admin</Typography.Title>
-
-            <Divider />
-
-            <Grid.Row justify="center">
-              <Grid.Col flex={1} style={{ paddingLeft: '1rem' }}>
-                {/* 把 userCount 传递给 DataItem 组件 */}
-                <DataItem icon={<IconUser />} title={'用户'} count={userCount} />
-              </Grid.Col>
-
-              <Divider type="vertical" style={{ height: 40 }} />
-
-              <Grid.Col flex={1} style={{ paddingLeft: '1rem' }}>
-                <DataItem icon={<IconUserGroup />} title={'知识库'} count={kbCount} />
-              </Grid.Col>
-
-              <Divider type="vertical" style={{ height: 40 }} />
-
-              <Grid.Col flex={1} style={{ paddingLeft: '1rem' }}>
-                <DataItem icon={<IconApps />} title={'AI模型'} count={modelCount} />
-              </Grid.Col>
-            </Grid.Row>
-
-            <Divider />
-          </Card>
-        </Space>
-      </div>
-    </div>
-  );
-});
-Dashboard.displayName = 'Dashboard';
-
-const DashboardItem: React.FC<
-  React.PropsWithChildren<{
-    title: string;
-    href?: string;
-  }>
-> = React.memo((props) => {
-  const { t } = useTranslation();
-
-  return (
-    <Card
-      title={props.title}
-      extra={
-        props.href && (
-          <Link target="_blank" href={props.href}>
-            {t('tushan.dashboard.more')}
-          </Link>
-        )
-      }
-      bordered={false}
-      style={{ overflow: 'hidden' }}
-    >
-      {props.children}
-    </Card>
-  );
-});
-DashboardItem.displayName = 'DashboardItem';
-
-const DataItem: React.FC<{
-  icon: React.ReactElement;
-  title: string;
-  count: number;
-}> = React.memo((props) => {
-  return (
-    <Space>
-      <div
-        style={{
-          fontSize: 20,
-          padding: '0.5rem',
-          borderRadius: '9999px',
-          border: '1px solid #ccc',
-          width: 24,
-          height: 24,
-          display: 'flex',
-          justifyContent: 'center',
-          alignItems: 'center'
-        }}
-      >
-        {props.icon}
-      </div>
-      <div>
-        <div style={{ fontWeight: 700 }}>{props.title}</div>
-        <div>{props.count}</div>
-      </div>
-    </Space>
-  );
-});
-DataItem.displayName = 'DataItem';

admin/src/auth.ts

@@ -1,5 +0,0 @@
-import { createAuthProvider, type AuthProvider } from 'tushan';
-
-export const authProvider: AuthProvider = createAuthProvider({
-  loginUrl: `${import.meta.env.VITE_PUBLIC_SERVER_URL}/api/login`
-});

admin/src/fields.ts

@@ -1,50 +0,0 @@
-import { createTextField, createNumberField } from 'tushan';
-
-export const userFields = [
-  createTextField('id', { label: 'ID' }),
-  createTextField('username', { label: '用户名' }),
-  createNumberField('balance', { label: '余额', list: { sort: true } }),
-  createTextField('createTime', { label: 'Create Time', list: { sort: true } }),
-  createTextField('password', { label: '密码', list: { hidden: true } })
-];
-
-export const payFields = [
-  createTextField('id', { label: 'ID' }),
-  createTextField('userId', { label: '用户Id' }),
-  createNumberField('price', { label: '支付金额' }),
-  createTextField('orderId', { label: 'orderId' }),
-  createTextField('status', { label: '状态' }),
-  createTextField('createTime', { label: 'Create Time', list: { sort: true } })
-];
-
-export const kbFields = [
-  createTextField('id', { label: 'ID' }),
-  createTextField('userId', { label: '所属用户' }),
-  createTextField('name', { label: '知识库' }),
-  createTextField('tags', { label: 'Tags' })
-];
-
-export const ModelFields = [
-  createTextField('id', { label: 'ID' }),
-  createTextField('userId', { label: '所属用户' }),
-  createTextField('name', { label: '名字' }),
-  createTextField('relatedKbs', { label: '引用的知识库' }),
-  createTextField('searchMode', { label: '搜索模式' }),
-  createTextField('systemPrompt', {
-    label: '提示词',
-    list: {
-      width: 400
-    }
-  }),
-  createTextField('temperature', { label: '温度' })
-];
-
-export const SystemFields = [
-  createTextField('openAIKeys', { label: 'openAIKeys，逗号隔开' }),
-  createTextField('openAITrainingKeys', { label: 'openAITrainingKeys' }),
-  createTextField('gpt4Key', { label: 'gpt4Key' }),
-  createTextField('vectorMaxProcess', { label: '向量最大进程' }),
-  createTextField('qaMaxProcess', { label: 'qa最大进程' }),
-  createTextField('pgIvfflatProbe', { label: 'pg 探针数量' }),
-  createTextField('sensitiveCheck', { label: '敏感词校验(true,false)' })
-];

admin/src/main.tsx

@@ -1,5 +0,0 @@
-import React from 'react';
-import ReactDOM from 'react-dom/client';
-import App from './App';
-
-ReactDOM.createRoot(document.getElementById('root') as HTMLElement).render(<App />);

admin/src/vite-env.d.ts

@@ -1 +0,0 @@
-/// <reference types="vite/client" />

admin/tsconfig.json

@@ -1,21 +0,0 @@
-{
-  "compilerOptions": {
-    "target": "ESNext",
-    "useDefineForClassFields": true,
-    "lib": ["DOM", "DOM.Iterable", "ESNext"],
-    "allowJs": false,
-    "skipLibCheck": true,
-    "esModuleInterop": false,
-    "allowSyntheticDefaultImports": true,
-    "strict": true,
-    "forceConsistentCasingInFileNames": true,
-    "module": "ESNext",
-    "moduleResolution": "Node",
-    "resolveJsonModule": true,
-    "isolatedModules": true,
-    "noEmit": true,
-    "jsx": "react-jsx"
-  },
-  "include": ["src"],
-  "references": [{ "path": "./tsconfig.node.json" }]
-}

admin/tsconfig.node.json

@@ -1,9 +0,0 @@
-{
-  "compilerOptions": {
-    "composite": true,
-    "module": "ESNext",
-    "moduleResolution": "Node",
-    "allowSyntheticDefaultImports": true
-  },
-  "include": ["vite.config.ts"]
-}

admin/vite.config.ts

@@ -1,7 +0,0 @@
-import { defineConfig } from 'vite';
-import react from '@vitejs/plugin-react';
-
-// https://vitejs.dev/config/
-export default defineConfig({
-  plugins: [react()],
-});

client/.env.template

@@ -0,0 +1,21 @@
+# 默认用户密码，用户名为 root，每次重启时会自动更新。
+DEFAULT_ROOT_PSW=123456
+# 代理
+# AXIOS_PROXY_HOST=127.0.0.1
+# AXIOS_PROXY_PORT=7890
+# 数据库最大连接数
+DB_MAX_LINK=5
+# token
+TOKEN_KEY=dfdasfdas
+# root key, 最高权限
+ROOT_KEY=fdafasd
+# openai 基本地址，可用作中转。
+OPENAI_BASE_URL=https://api.openai.com/v1
+# oneapi 地址，可以使用 oneapi 来实现多模型接入
+# ONEAPI_URL=https://xxxx.cloud.sealos.io/openai/v1
+# 通用key。可以是 openai 的也可以是 oneapi 的。
+# 此处逻辑：优先走 ONEAPI_URL，如果填写了 ONEAPI_URL，key 也需要是 ONEAPI 的 key
+CHAT_API_KEY=sk-xxxx
+# db
+MONGODB_URI=mongodb://username:password@0.0.0.0:27017/fastgpt
+PG_URL=postgresql://username:password@host:port/postgres

client/.gitignore

@@ -28,4 +28,5 @@ next-env.d.ts
 platform.json
 testApi/
 local/
-.husky/
+.husky/
+data/*.local.*

client/Dockerfile

@@ -5,16 +5,18 @@ RUN apk add --no-cache libc6-compat && npm install -g pnpm
 WORKDIR /app
 
 # Install dependencies based on the preferred package manager
-COPY package.json pnpm-lock.yaml* ./
-RUN pnpm config set registry https://registry.npmmirror.com/
+COPY package.json ./
+COPY pnpm-lock.yaml* ./
 RUN \
-  [ -f pnpm-lock.yaml ] && pnpm install || \
+  [ -f pnpm-lock.yaml ] && pnpm fetch || \
   (echo "Lockfile not found." && exit 1)
 
 # Rebuild the source code only when needed
 FROM node:current-alpine AS builder
 WORKDIR /app
 COPY --from=deps /app/node_modules ./node_modules
+COPY pnpm-lock.yaml* ./
+COPY package.json ./
 COPY . .
 
 # Next.js collects completely anonymous telemetry data about general usage.
@@ -22,7 +24,10 @@ COPY . .
 # Uncomment the following line in case you want to disable telemetry during the build.
 ENV NEXT_TELEMETRY_DISABLED 1
 
-RUN npm install -g pnpm && pnpm run build
+RUN npm install -g pnpm
+RUN \
+  [ -f pnpm-lock.yaml ] && (pnpm --offline install && pnpm run build) || \
+  (echo "Lockfile not found." && exit 1) 
 
 # Production image, copy all the files and run next
 FROM node:current-alpine AS runner

client/data/config.json

@@ -0,0 +1,63 @@
+{
+  "FeConfig": {
+    "show_emptyChat": true,
+    "show_register": false,
+    "show_appStore": false,
+    "show_userDetail": false,
+    "show_git": true,
+    "systemTitle": "FastGPT",
+    "authorText": "Made by FastGPT Team.",
+    "gitLoginKey": "",
+    "scripts": []
+  },
+  "SystemParams": {
+    "gitLoginSecret": "",
+    "vectorMaxProcess": 15,
+    "qaMaxProcess": 15,
+    "pgIvfflatProbe": 20
+  },
+  "ChatModels": [
+    {
+      "model": "gpt-3.5-turbo",
+      "name": "GPT35-4k",
+      "contextMaxToken": 4000,
+      "quoteMaxToken": 2000,
+      "maxTemperature": 1.2,
+      "price": 0,
+      "defaultSystem": ""
+    },
+    {
+      "model": "gpt-3.5-turbo-16k",
+      "name": "GPT35-16k",
+      "contextMaxToken": 16000,
+      "quoteMaxToken": 8000,
+      "maxTemperature": 1.2,
+      "price": 0,
+      "defaultSystem": ""
+    },
+    {
+      "model": "gpt-4",
+      "name": "GPT4-8k",
+      "contextMaxToken": 8000,
+      "quoteMaxToken": 4000,
+      "maxTemperature": 1.2,
+      "price": 0,
+      "defaultSystem": ""
+    }
+  ],
+  "QAModels": [
+    {
+      "model": "gpt-3.5-turbo-16k",
+      "name": "GPT35-16k",
+      "maxToken": 16000,
+      "price": 0
+    }
+  ],
+  "VectorModels": [
+    {
+      "model": "text-embedding-ada-002",
+      "name": "Embedding-2",
+      "price": 0
+    }
+  ]
+}

client/next-i18next.config.js

@@ -0,0 +1,12 @@
+//next-i18next.config.js
+/**
+ * @type {import('next-i18next').UserConfig}
+ */
+
+module.exports = {
+  i18n: {
+    defaultLocale: 'en',
+    locales: ['en', 'zh', 'zh-Hans'],
+    localeDetection: false
+  }
+};

client/next.config.js

@@ -1,22 +1,37 @@
 /** @type {import('next').NextConfig} */
+const { i18n } = require('./next-i18next.config');
 
 const nextConfig = {
+  i18n,
   output: 'standalone',
   reactStrictMode: false,
   compress: true,
 
-  webpack(config) {
+  webpack(config, { isServer }) {
+    if (!isServer) {
+      config.resolve = {
+        ...config.resolve,
+        fallback: {
+          ...config.resolve.fallback,
+          fs: false
+        }
+      };
+    }
     config.experiments = {
       asyncWebAssembly: true,
       layers: true
     };
-    config.module.rules = config.module.rules.concat([
-      {
-        test: /\.svg$/i,
-        issuer: /\.[jt]sx?$/,
-        use: ['@svgr/webpack']
-      }
-    ]);
+    config.module = {
+      ...config.module,
+      rules: config.module.rules.concat([
+        {
+          test: /\.svg$/i,
+          issuer: /\.[jt]sx?$/,
+          use: ['@svgr/webpack']
+        }
+      ]),
+      exprContextCritical: false
+    };
 
     return config;
   }

client/package.json

@@ -9,46 +9,50 @@
     "lint": "next lint"
   },
   "dependencies": {
-    "@alicloud/dysmsapi20170525": "^2.0.23",
-    "@alicloud/openapi-client": "^0.4.5",
-    "@alicloud/tea-util": "^1.4.5",
     "@chakra-ui/icons": "^2.0.17",
-    "@chakra-ui/react": "^2.5.1",
-    "@chakra-ui/system": "^2.5.5",
-    "@dqbd/tiktoken": "^1.0.6",
+    "@chakra-ui/react": "^2.7.0",
+    "@chakra-ui/system": "^2.5.8",
+    "@dqbd/tiktoken": "^1.0.7",
     "@emotion/react": "^11.10.6",
     "@emotion/styled": "^11.10.6",
+    "@mozilla/readability": "^0.4.4",
     "@next/font": "13.1.6",
     "@tanstack/react-query": "^4.24.10",
     "@types/nprogress": "^0.2.0",
     "axios": "^1.3.3",
     "cookie": "^0.5.0",
     "crypto": "^1.0.1",
+    "date-fns": "^2.30.0",
     "dayjs": "^1.11.7",
-    "eventsource-parser": "^0.1.0",
+    "echarts": "^5.4.1",
     "formidable": "^2.1.1",
     "framer-motion": "^9.0.6",
-    "graphemer": "^1.4.0",
     "hyperdown": "^2.4.29",
+    "i18next": "^22.5.1",
     "immer": "^9.0.19",
+    "js-cookie": "^3.0.5",
+    "jsdom": "^22.1.0",
     "jsonwebtoken": "^9.0.0",
     "lodash": "^4.17.21",
     "mammoth": "^1.5.1",
-    "mermaid": "^8.13.5",
+    "mermaid": "^10.2.3",
     "mongoose": "^6.10.0",
     "nanoid": "^4.0.1",
     "next": "13.1.6",
+    "next-i18next": "^13.3.0",
     "nextjs-cors": "^2.1.2",
-    "nodemailer": "^6.9.1",
     "nprogress": "^0.2.0",
-    "openai": "^3.2.1",
+    "openai": "^3.3.0",
     "papaparse": "^5.4.1",
     "pg": "^8.10.0",
     "react": "18.2.0",
+    "react-day-picker": "^8.7.1",
     "react-dom": "18.2.0",
     "react-hook-form": "^7.43.1",
-    "react-markdown": "^8.0.5",
+    "react-i18next": "^12.3.1",
+    "react-markdown": "^8.0.7",
     "react-syntax-highlighter": "^15.5.0",
+    "reactflow": "^11.7.4",
     "rehype-katex": "^6.0.2",
     "remark-breaks": "^3.0.3",
     "remark-gfm": "^3.0.1",
@@ -56,17 +60,19 @@
     "request-ip": "^3.3.0",
     "sass": "^1.58.3",
     "tunnel": "^0.0.6",
-    "wxpay-v3": "^3.0.2",
+    "winston": "^3.10.0",
+    "winston-mongodb": "^5.1.1",
     "zustand": "^4.3.5"
   },
   "devDependencies": {
     "@svgr/webpack": "^6.5.1",
     "@types/cookie": "^0.5.1",
     "@types/formidable": "^2.0.5",
+    "@types/js-cookie": "^3.0.3",
+    "@types/jsdom": "^21.1.1",
     "@types/jsonwebtoken": "^9.0.1",
     "@types/lodash": "^4.14.191",
     "@types/node": "18.14.0",
-    "@types/nodemailer": "^6.4.7",
     "@types/papaparse": "^5.3.7",
     "@types/pg": "^8.6.6",
     "@types/react": "18.0.28",

client/public/docs/chatProblem.md

@@ -1,26 +1,21 @@
 ### 常见问题
 
-**Git 地址**
-[项目地址，完全开源，随便用。](https://github.com/c121914yu/FastGPT)
-
-**问题文档**
-[先看文档，再提问](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
-
-**删除和复制**
-电脑端：聊天内容右侧有复制和删除的图标。
-移动端：点击对话头像，可以选择复制或删除该条内容。
+- [**Git 地址**,点击查看项目地址](https://github.com/labring/FastGPT)
+- [本地部署 FastGPT](https://doc.fastgpt.run/docs/installation)
+- [API 文档](https://kjqvjse66l.feishu.cn/docx/DmLedTWtUoNGX8xui9ocdUEjnNh?pre_pathname=%2Fdrive%2Fhome%2F)
+- **反馈问卷**: 如果你遇到任何使用问题或有期望的功能，可以[填写该问卷](https://www.wjx.cn/vm/rLIw1uD.aspx#)
+- **问题文档**: [先看文档，再提问](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
 
 **价格表**
-如果使用了自己的 Api Key，网页上 openai 模型聊天不会计费。可以在账号页，看到详细账单。
 | 计费项 | 价格: 元/ 1K tokens（包含上下文）|
 | --- | --- |
-| 知识库 - 索引 | 0.001 |
-| chatgpt - 对话 | 0.025 |
-| gpt4 - 对话 | 0.5 |
-| 文件拆分 | 0.025 |
+| 知识库 - 索引 | 0.002 |
+| FastAI4k - 对话 | 0.015 |
+| FastAI16k - 对话 | 0.03 |
+| FastAI-Plus - 对话 | 0.45 |
+| 文件拆分 | 0.03 |
 
 **其他问题**
-请 WX 联系: YNyiqi
 | 交流群 | 小助手 |
 | ----------------------- | -------------------- |
 | ![](https://otnvvf-imgs.oss.laf.run/wxqun300.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) |

client/public/docs/csvSelect.md

@@ -1,9 +0,0 @@
-接受一个 csv 文件，表格头包含 question 和 answer。question 代表问题，answer 代表答案。
-导入前会进行去重，如果问题和答案完全相同，则不会被导入，所以最终导入的内容可能会比文件的内容少。但是，对于带有换行的内容，目前无法去重。
-
-### 请保证 csv 文件为 utf-8 编码
-
-| question      | answer                                                 |
-| ------------- | ------------------------------------------------------ |
-| 什么是 laf    | laf 是一个云函数开发平台……                             |
-| 什么是 sealos | Sealos 是以 kubernetes 为内核的云操作系统发行版,可以…… |

client/public/docs/intro.md

@@ -1,33 +0,0 @@
-## 欢迎使用 Fast GPT
-
-### 项目开源
-
-FastGpt 项目完全开源，可随意私有化部署，去除平台风险忧虑。项目地址：[Git 仓库](https://github.com/c121914yu/FastGPT)
-
-### 开始使用知识库
-
-1. AI 助手详情里，有一个模型效果。打开知识库搜索开关即可使用知识库搜索功能。
-2. 导入知识库数据。可以手动输入或文件导入。
-3. 开始对话。
-4. 对话结束后，会看到聊天下方有一个“查看提示词”,可以看到搜索到了哪些内容。
-
-注意：使用知识库模型对话时，tokens 消耗会加快。
-
-### 价格表
-
-如果使用了自己的 Api Key，网页上 openai 模型聊天不会计费。可以在账号页，看到详细账单。
-| 计费项 | 价格: 元/ 1K tokens（包含上下文）|
-| --- | --- |
-| 知识库 - 索引 | 0.001 |
-| chatgpt - 对话 | 0.025 |
-| gpt4 - 对话 | 0.5 |
-| 文件拆分 | 0.025 |
-
-### 交流群/问题反馈
-
-如果群满了，可加个小助手，定时拉
-wx 号: YNyiqi
-
-| 交流群                                            | 小助手                                         |
-| ------------------------------------------------- | ---------------------------------------------- |
-| ![](https://otnvvf-imgs.oss.laf.run/wxqun300.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) |

client/public/docs/shareHint.md

@@ -1,3 +0,0 @@
-你正准备分享对话，请确保分享链接不会滥用，因为它是使用的是你的 API key。  
-* 分享空白对话：为该模型创建一个空白的聊天分享出去。  
-* 分享当前对话：会把当前聊天的内容也分享出去，但是要注意不要多个人同时用一个聊天内容。

client/public/docs/versionIntro.md

@@ -1,4 +1,8 @@
-### Fast GPT V3.8.3
+### Fast GPT V4.2
 
-1. 新增 - mermaid 导图兼容，可以在应用市场 'mermaid 导图' 进行体验。
-2. 优化 - 部分 UI 和账号页。
+1. 新增 - 应用日志初版，可观测到所有对话记录
+2. 新增 - 好友邀请链接，[点击查看](/account?currentTab=promotion)
+3. 新增 - Iframe 嵌入页面图标可拖拽
+4. 优化 - 知识库搜索提示词
+5. 优化 - [使用文档](https://doc.fastgpt.run/docs/intro/)
+6. [点击查看高级编排介绍文档](https://doc.fastgpt.run/docs/workflow)

client/public/icon/logo.svg

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client/public/imgs/home/icon_5.svg

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client/public/imgs/home/icon_6.svg

@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1691460052375" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="7219" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M950.676002 419.057175a255.346807 255.346807 0 0 0-22.014863-209.48251 257.949339 257.949339 0 0 0-277.74565-123.72694A258.759964 258.759964 0 0 0 212.538139 178.386943a255.346807 255.346807 0 0 0-170.572521 123.726941 257.949339 257.949339 0 0 0 31.699696 302.789689 255.133485 255.133485 0 0 0 21.758876 209.525175 258.162662 258.162662 0 0 0 277.958972 123.726941A255.346807 255.346807 0 0 0 565.757223 1023.996587a258.375984 258.375984 0 0 0 246.259276-179.446729 255.560129 255.560129 0 0 0 170.529856-123.726941 258.375984 258.375984 0 0 0-31.870353-301.765742zM565.757223 957.013381a190.966133 190.966133 0 0 1-122.702994-44.371041l6.015689-3.455821 203.893466-117.668587a33.918248 33.918248 0 0 0 16.724469-29.054499v-287.430483l86.182214 49.832092a3.029177 3.029177 0 0 1 1.621249 2.218552v238.195693a192.160738 192.160738 0 0 1-191.734093 191.734094zM153.618516 780.979809a190.710147 190.710147 0 0 1-22.825487-128.590689l6.058354 3.626479 204.064123 117.711252a32.8943 32.8943 0 0 0 33.278281 0l249.288453-143.736574v99.493526a3.413157 3.413157 0 0 1-1.407927 2.645197L415.578315 851.205514a191.990081 191.990081 0 0 1-261.959799-70.225705zM99.861294 336.928085a191.350114 191.350114 0 0 1 100.944118-84.176984V494.957254a32.680978 32.680978 0 0 0 16.553811 28.841176l248.093849 143.139272-86.182214 49.832092a3.242499 3.242499 0 0 1-3.029177 0l-206.069353-118.863193A192.160738 192.160738 0 0 1 99.861294 335.904138z m708.102081 164.471503l-248.861809-144.504534L645.070458 307.23362a3.242499 3.242499 0 0 1 3.029177 0l206.069353 119.076514a191.734094 191.734094 0 0 1-28.841177 345.795467v-242.248817a33.704925 33.704925 0 0 0-17.364436-28.457196z m85.75557-128.97467l-6.01569-3.626479-203.680143-118.692534a33.107623 33.107623 0 0 0-33.491603 0L401.456378 393.842478V294.306288a2.815855 2.815855 0 0 1 1.194605-2.602533l206.069353-118.905856a191.990081 191.990081 0 0 1 284.998609 198.816394z m-539.278804 176.417552l-86.182214-49.661434a3.413157 3.413157 0 0 1-1.62125-2.431875V259.236099a191.990081 191.990081 0 0 1 314.65041-147.320388l-6.058354 3.413157-203.850801 117.668587a33.918248 33.918248 0 0 0-16.767134 29.054499z m46.802915-100.901454l111.012931-63.996693 111.226253 63.996693v127.950723l-110.799609 63.996693-111.226253-63.996693z" p-id="7220"></path></svg>

client/public/js/iframe.js

@@ -0,0 +1,89 @@
+async function embedChatbot() {
+  const chatBtnId = 'fastgpt-chatbot-button';
+  const chatWindowId = 'fastgpt-chatbot-window';
+  const script = document.getElementById('fastgpt-iframe');
+  const botSrc = script?.getAttribute('data-src');
+  const primaryColor = script?.getAttribute('data-color') || '#4e83fd';
+
+  if (!botSrc) {
+    console.error(`Can't find appid`);
+    return;
+  }
+  if (document.getElementById(chatBtnId)) {
+    return;
+  }
+
+  const MessageIcon = `<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1690532785664" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="4132" xmlns:xlink="http://www.w3.org/1999/xlink" ><path d="M512 32C247.04 32 32 224 32 464A410.24 410.24 0 0 0 172.48 768L160 965.12a25.28 25.28 0 0 0 39.04 22.4l168-112A528.64 528.64 0 0 0 512 896c264.96 0 480-192 480-432S776.96 32 512 32z m244.8 416l-361.6 301.76a12.48 12.48 0 0 1-19.84-12.48l59.2-233.92h-160a12.48 12.48 0 0 1-7.36-23.36l361.6-301.76a12.48 12.48 0 0 1 19.84 12.48l-59.2 233.92h160a12.48 12.48 0 0 1 8 22.08z" fill=${primaryColor} p-id="4133"></path></svg>`;
+
+  const CloseIcon = `<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1690535441526" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="6367" xmlns:xlink="http://www.w3.org/1999/xlink"><path d="M512 1024A512 512 0 1 1 512 0a512 512 0 0 1 0 1024zM305.956571 370.395429L447.488 512 305.956571 653.604571a45.568 45.568 0 1 0 64.438858 64.438858L512 576.512l141.604571 141.531429a45.568 45.568 0 0 0 64.438858-64.438858L576.512 512l141.531429-141.604571a45.568 45.568 0 1 0-64.438858-64.438858L512 447.488 370.395429 305.956571a45.568 45.568 0 0 0-64.438858 64.438858z" fill=${primaryColor} p-id="6368"></path></svg>`;
+
+  const ChatBtn = document.createElement('div');
+  ChatBtn.id = chatBtnId;
+  ChatBtn.style.cssText =
+    'position: fixed; bottom: 1rem; right: 1rem; width: 40px; height: 40px; cursor: pointer; z-index: 2147483647; transition: 0;';
+
+  const ChatBtnDiv = document.createElement('div');
+  ChatBtnDiv.innerHTML = MessageIcon;
+
+  const iframe = document.createElement('iframe');
+  iframe.allow = 'fullscreen;microphone';
+  iframe.title = 'FastGpt Chat Window';
+  iframe.id = chatWindowId;
+  iframe.src = botSrc;
+
+  iframe.style.cssText =
+    'visibility: hidden; border: none; position: fixed; flex-direction: column; justify-content: space-between; box-shadow: rgba(150, 150, 150, 0.2) 0px 10px 30px 0px, rgba(150, 150, 150, 0.2) 0px 0px 0px 1px; bottom: 4rem; right: 1rem; width: 24rem; height: 40rem; max-width: 90vw; max-height: 85vh; border-radius: 0.75rem; display: flex; z-index: 2147483647; overflow: hidden; left: unset; background-color: #F3F4F6;';
+
+  document.body.appendChild(iframe);
+
+  let chatBtnDragged = false;
+  let chatBtnDown = false;
+  let chatBtnMouseX;
+  let chatBtnMouseY;
+  ChatBtn.addEventListener('click', function () {
+    if (chatBtnDragged) {
+      chatBtnDragged = false;
+      return;
+    }
+    const chatWindow = document.getElementById(chatWindowId);
+
+    if (!chatWindow) return;
+    const visibilityVal = chatWindow.style.visibility;
+    if (visibilityVal === 'hidden') {
+      chatWindow.style.visibility = 'unset';
+      ChatBtnDiv.innerHTML = CloseIcon;
+    } else {
+      chatWindow.style.visibility = 'hidden';
+      ChatBtnDiv.innerHTML = MessageIcon;
+    }
+  });
+
+  ChatBtn.addEventListener('mousedown', (e) => {
+    if (!chatBtnMouseX && !chatBtnMouseY) {
+      chatBtnMouseX = e.clientX;
+      chatBtnMouseY = e.clientY;
+    }
+
+    chatBtnDown = true;
+  });
+  ChatBtn.addEventListener('mousemove', (e) => {
+    if (!chatBtnDown) return;
+    chatBtnDragged = true;
+    const transformX = e.clientX - chatBtnMouseX;
+    const transformY = e.clientY - chatBtnMouseY;
+
+    ChatBtn.style.transform = `translate3d(${transformX}px, ${transformY}px, 0)`;
+
+    e.stopPropagation();
+  });
+  ChatBtn.addEventListener('mouseup', (e) => {
+    chatBtnDown = false;
+  });
+  ChatBtn.addEventListener('mouseleave', (e) => {
+    chatBtnDown = false;
+  });
+
+  ChatBtn.appendChild(ChatBtnDiv);
+  document.body.appendChild(ChatBtn);
+}
+document.body.onload = embedChatbot;

client/public/locales/en/common.json

@@ -0,0 +1,172 @@
+{
+  "App": "App",
+  "Cancel": "No",
+  "Confirm": "Yes",
+  "Running": "Running",
+  "Warning": "Warning",
+  "UnKnow": "UnKnow",
+  "app": {
+    "Advance App TestTip": "The current application is advanced editing mode \n. If you need to switch to [simple mode], please click the save button on the left",
+    "App Detail": "App Detail",
+    "Chat Logs Tips": "Logs record the app's online, shared, and API conversations",
+    "Chat logs": "Chat Logs",
+    "Confirm Del App Tip": "Confirm to delete the app and all its chats",
+    "Confirm Save App Tip": "The application may be in advanced orchestration mode, and the advanced orchestration configuration will be overwritten after saving, please confirm!",
+    "Connection is invalid": "Connecting is invalid",
+    "Connection type is different": "Connection type is different",
+    "Copy Module Config": "Copy config",
+    "Export Config Successful": "The configuration has been copied. Please check for important data",
+    "Export Configs": "Export Configs",
+    "Import Config": "Import Config",
+    "Import Config Failed": "Failed to import the configuration, please ensure that the configuration is normal!",
+    "Import Configs": "Import Configs",
+    "Input Field Settings": "Input Field Settings",
+    "Logs Empty": "Logs is empty",
+    "Logs Message Total": "Message Count",
+    "Logs Source": "Source",
+    "Logs Time": "Time",
+    "Logs Title": "Title",
+    "My Apps": "My Apps",
+    "Output Field Settings": "Output Field Settings",
+    "Paste Config": "Paste Config"
+  },
+  "chat": {
+    "Complete Response": "Complete Response",
+    "Confirm to clear history": "Confirm to clear history?",
+    "Exit Chat": "Exit",
+    "History": "History",
+    "New Chat": "New Chat",
+    "You need to a chat app": "You need to a chat app",
+    "logs": {
+      "api": "API",
+      "online": "Online Chat",
+      "share": "Share",
+      "test": "Test Chat "
+    }
+  },
+  "commom": {
+    "Password inconsistency": "Password inconsistency"
+  },
+  "common": {
+    "Add": "Add",
+    "Cancel": "Cancel",
+    "Collect": "Collect",
+    "Copy": "Copy",
+    "Copy Successful": "Copy Successful",
+    "Course": "",
+    "Delete": "Delete",
+    "Filed is repeat": "Filed is repeated",
+    "Filed is repeated": "",
+    "Input": "Input",
+    "Output": "Output",
+    "export": ""
+  },
+  "dataset": {
+    "Confirm to delete the data": "Confirm to delete the data?",
+    "Queue Desc": "This data refers to the current amount of training for the entire system. FastGPT uses queued training, and if you have too much data to train, you may need to wait for a while",
+    "System Data Queue": "Data Queue"
+  },
+  "file": {
+    "Click to download CSV template": "Click to download CSV template",
+    "Create File": "Create File",
+    "Create file": "Create file",
+    "Drag and drop": "Drag and drop files here",
+    "Fetch Url": "Fetch Url",
+    "If the imported file is garbled, please convert CSV to UTF-8 encoding format": "If the imported file is garbled, please convert CSV to UTF-8 encoding format",
+    "Release the mouse to upload the file": "Release the mouse to upload the file",
+    "Select a maximum of 10 files": "Select a maximum of 10 files",
+    "max 10": "Max 10 files",
+    "select a document": "select a document",
+    "support": "support {{fileExtension}} file",
+    "upload error description": "Only upload multiple files or one folder at a time"
+  },
+  "home": {
+    "AI Assistant": "AI Assistant",
+    "AI Assistant Desc": "",
+    "Advanced Settings": "",
+    "Advanced Settings Desc": "",
+    "Choice Debug": "Convenient Debugging",
+    "Choice Debug Desc": "Search testing, reference modification, full conversation preview and many other debugging ways",
+    "Choice Desc": "FastGPT follows the Apache License 2.0 open source protocol",
+    "Choice Extension": "Infinite Extension",
+    "Choice Extension Desc": "HTTP based extension, easy to achieve custom functions",
+    "Choice Models": "Multiple Models",
+    "Choice Models Desc": "",
+    "Choice Open": "Open",
+    "Choice Open Desc": "",
+    "Choice QA": "QA Struceture",
+    "Choice QA Desc": "The index is constructed with the structure of QA pairs, and ADAPTS to various scenarios such as Q&A and reading",
+    "Choice Visual": "Visual workflow",
+    "Choice Visual Desc": "Visualize modular operations, easily implement complex workflows, and make your AI no longer monolithic",
+    "Community": "Community",
+    "Dateset": "",
+    "Dateset Desc": "",
+    "Docs": "Docs",
+    "FastGPT Ability": "FastGPT Ability",
+    "FastGPT Desc": "FastGPT is a knowledgebase question answering system based on LLM large language model, which provides out-of-the-box data processing, model invocation and other capabilities. At the same time, workflow orchestration can be performed through Flow visualization to achieve complex Q&A scenarios!",
+    "Features": "Features",
+    "Footer Developer": "Developer",
+    "Footer Docs": "Docs",
+    "Footer FastGPT Cloud": "FastGPT Cloud",
+    "Footer Feedback": "Feedback",
+    "Footer Git": "Code",
+    "Footer Product": "Product",
+    "Footer Support": "Support",
+    "Login": "Login",
+    "Open": "",
+    "OpenAPI": "OpenAPI",
+    "OpenAPI Desc": "",
+    "Quickly build AI question and answer library": "Quickly build AI question and answer library",
+    "Start Now": "Start Now",
+    "Visual AI orchestration": "Visual AI orchestration",
+    "Why FastGPT": "",
+    "desc": "",
+    "slogan": ""
+  },
+  "navbar": {
+    "Account": "Account",
+    "Apps": "Apps",
+    "Chat": "Chat",
+    "Datasets": "DataSets",
+    "Store": "Store",
+    "Tools": "Tools"
+  },
+  "user": {
+    "Account": "Account",
+    "Amount of earnings": "Earnings",
+    "Amount of inviter": "Inviter",
+    "Application Name": "Application Name",
+    "Avatar": "Avatar",
+    "Balance": "Balance",
+    "Bill Detail": "Bill Detail",
+    "Change": "Change",
+    "Copy invite url": "Copy invitation link",
+    "Invite Url": "Invite Url",
+    "Invite url tip": "Friends who register through this link will be permanently bound to you, and you will get a certain balance reward when they recharge. In addition, when friends register with their mobile phone number, you will get 5 yuan reward immediately.",
+    "Notice": "Notice",
+    "Old password is error": "Old password is error",
+    "OpenAI Account Setting": "OpenAI Account Setting",
+    "Password": "Password",
+    "Pay": "Pay",
+    "Personal Information": "Personal",
+    "Promotion": "Promotion",
+    "Promotion Rate": "Promotion Rate",
+    "Promotion Record": "Promotion",
+    "Promotion rate tip": "You will be rewarded with a percentage of the balance when your friends top up",
+    "Recharge Record": "Recharge",
+    "Replace": "Replace",
+    "Set OpenAI Account Failed": "Set OpenAI account failed",
+    "Sign Out": "Sign Out",
+    "Source": "Source",
+    "Time": "Time",
+    "Total Amount": "Total Amount",
+    "Update Password": "Update Password",
+    "Update password failed": "Update password failed",
+    "Update password succseful": "Update password succseful",
+    "Usage Record": "Usage",
+    "promotion": {
+      "pay": "",
+      "register": ""
+    }
+  }
+}

client/public/locales/zh/common.json

@@ -0,0 +1,172 @@
+{
+  "App": "应用",
+  "Cancel": "取消",
+  "Confirm": "确认",
+  "Running": "运行中",
+  "Warning": "提示",
+  "UnKnow": "未知",
+  "app": {
+    "Advance App TestTip": "当前应用为高级编排模式\n如需切换为【简易模式】请点击左侧保存按键",
+    "App Detail": "应用详情",
+    "Chat Logs Tips": "日志会记录该应用的在线、分享和 API 对话记录",
+    "Chat logs": "对话日志",
+    "Confirm Del App Tip": "确认删除该应用及其所有聊天记录？",
+    "Confirm Save App Tip": "该应用可能为高级编排模式，保存后将会覆盖高级编排配置，请确认！",
+    "Connection is invalid": "连接无效",
+    "Connection type is different": "连接的类型不一致",
+    "Copy Module Config": "复制配置",
+    "Export Config Successful": "已复制配置，请注意检查是否有重要数据",
+    "Export Configs": "导出配置",
+    "Import Config": "导入配置",
+    "Import Config Failed": "导入配置失败，请确保配置正常！",
+    "Import Configs": "导入配置",
+    "Input Field Settings": "输入字段编辑",
+    "Logs Empty": "还没有日志噢~",
+    "Logs Message Total": "消息总数",
+    "Logs Source": "来源",
+    "Logs Time": "时间",
+    "Logs Title": "标题",
+    "My Apps": "我的应用",
+    "Output Field Settings": "输出字段编辑",
+    "Paste Config": "粘贴配置"
+  },
+  "chat": {
+    "Complete Response": "完整响应",
+    "Confirm to clear history": "确认清空该应用的聊天记录？",
+    "Exit Chat": "退出聊天",
+    "History": "记录",
+    "New Chat": "新对话",
+    "You need to a chat app": "你需要创建一个应用",
+    "logs": {
+      "api": "API 调用",
+      "online": "在线使用",
+      "share": "外部链接调用",
+      "test": "测试"
+    }
+  },
+  "commom": {
+    "Password inconsistency": "两次密码不一致"
+  },
+  "common": {
+    "Add": "添加",
+    "Cancel": "取消",
+    "Collect": "收藏",
+    "Copy": "复制",
+    "Copy Successful": "复制成功",
+    "Course": "",
+    "Delete": "删除",
+    "Filed is repeat": "",
+    "Filed is repeated": "字段重复了",
+    "Input": "输入",
+    "Output": "输出",
+    "export": ""
+  },
+  "dataset": {
+    "Confirm to delete the data": "确认删除该数据？",
+    "Queue Desc": "该数据是指整个系统当前待训练的数量。FastGPT 采用排队训练的方式，如果待训练的数据过多，可能需要等待一段时间",
+    "System Data Queue": "排队长度"
+  },
+  "file": {
+    "Click to download CSV template": "点击下载 CSV 模板",
+    "Create File": "创建新文件",
+    "Create file": "创建文件",
+    "Drag and drop": "拖拽文件至此",
+    "Fetch Url": "链接读取",
+    "If the imported file is garbled, please convert CSV to UTF-8 encoding format": "如果导入文件乱码，请将 CSV 转成 UTF-8 编码格式",
+    "Release the mouse to upload the file": "松开鼠标上传文件",
+    "Select a maximum of 10 files": "最多选择10个文件",
+    "max 10": "最多选择 10 个文件",
+    "select a document": "选择文件",
+    "support": "支持 {{fileExtension}} 文件",
+    "upload error description": "单次只支持上传多个文件或者一个文件夹"
+  },
+  "home": {
+    "AI Assistant": "AI 客服",
+    "AI Assistant Desc": "无论对内还是对外，AI 将 24 小时为您的用户提供服务",
+    "Advanced Settings": "高级编排",
+    "Advanced Settings Desc": "基于 Flow 的流程编排模式，让你的 AI 轻松实现数据库查询、IO 操作、联网通信等扩展能力",
+    "Choice Debug": "调试便捷",
+    "Choice Debug Desc": "拥有搜索测试、引用修改、完整对话预览等多种调试途径",
+    "Choice Desc": "",
+    "Choice Extension": "无限扩展",
+    "Choice Extension Desc": "基于 HTTP 实现扩展，轻松实现定制功能",
+    "Choice Models": "支持多种模型",
+    "Choice Models Desc": "支持 GPT、Claude、文心一言等多模型",
+    "Choice Open": "更开放",
+    "Choice Open Desc": "FastGPT 遵循 Apache License 2.0 开源协议",
+    "Choice QA": "独特的 QA 结构",
+    "Choice QA Desc": "采用 QA 对的结构构建索引，适应问答、阅读等多种场景",
+    "Choice Visual": "可视化工作流",
+    "Choice Visual Desc": "可视化模块操作，轻松实现复杂工作流，让你的 AI 不再单一",
+    "Community": "社区",
+    "Dateset": "自动数据预处理",
+    "Dateset Desc": "提供手动输入、直接分段、LLM 自动处理和 CSV 等多种数据导入途径",
+    "Docs": "文档",
+    "FastGPT Ability": "FastGPT 能力",
+    "FastGPT Desc": "FastGPT 是一个基于 LLM 大语言模型的知识库问答系统，提供开箱即用的数据处理、模型调用等能力。同时可以通过 Flow 可视化进行工作流编排，从而实现复杂的问答场景！",
+    "Features": "特点",
+    "Footer Developer": "开发者",
+    "Footer Docs": "文档",
+    "Footer FastGPT Cloud": "FastGPT 线上服务",
+    "Footer Feedback": "反馈",
+    "Footer Git": "源码",
+    "Footer Product": "产品",
+    "Footer Support": "支持",
+    "Login": "登录",
+    "Open": "",
+    "OpenAPI": "OpenAPI",
+    "OpenAPI Desc": "与 GPT API 一致的对外接口，助你轻松接入已有应用",
+    "Quickly build AI question and answer library": "快速搭建 AI 问答系统",
+    "Start Now": "立即开始",
+    "Visual AI orchestration": "可视化 AI 编排",
+    "Why FastGPT": "为什么选择 FastGPT",
+    "desc": "基于 LLM 大模型的 AI 知识库问答平台",
+    "slogan": "让 AI 更懂你的知识"
+  },
+  "navbar": {
+    "Account": "账号",
+    "Apps": "应用",
+    "Chat": "聊天",
+    "Datasets": "知识库",
+    "Store": "应用市场",
+    "Tools": "工具"
+  },
+  "user": {
+    "Account": "账号",
+    "Amount of earnings": "收益（￥）",
+    "Amount of inviter": "累计邀请人数",
+    "Application Name": "应用名",
+    "Avatar": "头像",
+    "Balance": "余额",
+    "Bill Detail": "账单详情",
+    "Change": "变更",
+    "Copy invite url": "复制邀请链接",
+    "Invite Url": "邀请链接",
+    "Invite url tip": "通过该链接注册的好友将永久与你绑定，其充值时你会获得一定余额奖励。\n此外，好友使用手机号注册时，你将立即获得 5 元奖励。",
+    "Notice": "通知",
+    "Old password is error": "旧密码错误",
+    "OpenAI Account Setting": "OpenAI 账号配置",
+    "Password": "密码",
+    "Pay": "充值",
+    "Personal Information": "个人信息",
+    "Promotion": "",
+    "Promotion Rate": "返现比例",
+    "Promotion Record": "推广记录",
+    "Promotion rate tip": "好友充值时你将获得一定比例的余额奖励",
+    "Recharge Record": "充值记录",
+    "Replace": "更换",
+    "Set OpenAI Account Failed": "设置 OpenAI 账号异常",
+    "Sign Out": "登出",
+    "Source": "来源",
+    "Time": "时间",
+    "Total Amount": "总金额",
+    "Update Password": "修改密码",
+    "Update password failed": "修改密码异常",
+    "Update password succseful": "修改密码成功",
+    "Usage Record": "使用记录",
+    "promotion": {
+      "pay": "好友充值",
+      "register": "好友注册"
+    }
+  }
+}

client/src/api/app.ts

@@ -0,0 +1,56 @@
+import { GET, POST, DELETE, PUT } from './request';
+import type { AppSchema } from '@/types/mongoSchema';
+import type { AppListItemType, AppUpdateParams } from '@/types/app';
+import { RequestPaging } from '../types/index';
+import type { Props as CreateAppProps } from '@/pages/api/app/create';
+import { addDays } from 'date-fns';
+
+/**
+ * 获取模型列表
+ */
+export const getMyModels = () => GET<AppListItemType[]>('/app/myApps');
+
+/**
+ * 创建一个模型
+ */
+export const postCreateApp = (data: CreateAppProps) => POST<string>('/app/create', data);
+
+/**
+ * 根据 ID 删除模型
+ */
+export const delModelById = (id: string) => DELETE(`/app/del?appId=${id}`);
+
+/**
+ * 根据 ID 获取模型
+ */
+export const getModelById = (id: string) => GET<AppSchema>(`/app/detail?appId=${id}`);
+
+/**
+ * 根据 ID 更新模型
+ */
+export const putAppById = (id: string, data: AppUpdateParams) =>
+  PUT(`/app/update?appId=${id}`, data);
+
+/* 共享市场 */
+/**
+ * 获取共享市场模型
+ */
+export const getShareModelList = (data: { searchText?: string } & RequestPaging) =>
+  POST(`/app/share/getModels`, data);
+
+/**
+ * 收藏/取消收藏模型
+ */
+export const triggerModelCollection = (appId: string) =>
+  POST<number>(`/app/share/collection?appId=${appId}`);
+
+// ====================== data
+export const getAppTotalUsage = (data: { appId: string }) =>
+  POST<{ date: String; total: number }[]>(`/app/data/totalUsage`, {
+    ...data,
+    start: addDays(new Date(), -13),
+    end: addDays(new Date(), 1)
+  }).then((res) => (res.length === 0 ? [{ date: new Date(), total: 0 }] : res));
+
+export const getAppChatLogs = (data: RequestPaging & { appId: string }) =>
+  POST(`/chat/getChatLogs`, data);

client/src/api/chat.ts

@@ -1,50 +1,37 @@
 import { GET, POST, DELETE, PUT } from './request';
-import type { HistoryItemType } from '@/types/chat';
+import type { ChatHistoryItemType } from '@/types/chat';
 import type { InitChatResponse, InitShareChatResponse } from './response/chat';
 import { RequestPaging } from '../types/index';
-import type { ShareChatSchema } from '@/types/mongoSchema';
-import type { ShareChatEditType } from '@/types/model';
-import { Obj2Query } from '@/utils/tools';
-import type { QuoteItemType } from '@/pages/api/openapi/kb/appKbSearch';
+import type { OutLinkSchema } from '@/types/mongoSchema';
+import type { ShareChatEditType } from '@/types/app';
 import type { Props as UpdateHistoryProps } from '@/pages/api/chat/history/updateChatHistory';
 
 /**
  * 获取初始化聊天内容
  */
-export const getInitChatSiteInfo = (modelId: '' | string, chatId: '' | string) =>
-  GET<InitChatResponse>(`/chat/init?modelId=${modelId}&chatId=${chatId}`);
+export const getInitChatSiteInfo = (data: { appId: string; chatId?: string }) =>
+  GET<InitChatResponse>(`/chat/init`, data);
 
 /**
  * 获取历史记录
  */
-export const getChatHistory = (data: RequestPaging) =>
-  POST<HistoryItemType[]>('/chat/history/getHistory', data);
+export const getChatHistory = (data: RequestPaging & { appId?: string }) =>
+  POST<ChatHistoryItemType[]>('/chat/history/getHistory', data);
 
 /**
  * 删除一条历史记录
  */
-export const delChatHistoryById = (id: string) => GET(`/chat/removeHistory?id=${id}`);
-
+export const delChatHistoryById = (chatId: string) => DELETE(`/chat/removeHistory`, { chatId });
 /**
- * get history quotes
+ * clear all history by appid
  */
-export const getHistoryQuote = (params: { chatId: string; historyId: string }) =>
-  GET<(QuoteItemType & { _id: string })[]>(`/chat/history/getHistoryQuote`, params);
-
-/**
- * update history quote status
- */
-export const updateHistoryQuote = (params: {
-  chatId: string;
-  historyId: string;
-  quoteId: string;
-}) => GET(`/chat/history/updateHistoryQuote`, params);
+export const clearChatHistoryByAppId = (appId: string) => DELETE(`/chat/removeHistory`, { appId });
 
 /**
  * 删除一句对话
  */
-export const delChatRecordByIndex = (chatId: string, contentId: string) =>
-  DELETE(`/chat/delChatRecordByContentId?chatId=${chatId}&contentId=${contentId}`);
+export const delChatRecordById = (data: { chatId: string; contentId: string }) =>
+  DELETE(`/chat/delChatRecordByContentId`, data);
 
 /**
  * 修改历史记录: 标题/置顶
@@ -52,28 +39,28 @@ export const delChatRecordByIndex = (chatId: string, contentId: string) =>
 export const putChatHistory = (data: UpdateHistoryProps) =>
   PUT('/chat/history/updateChatHistory', data);
 
+/**
+ * 初始化分享聊天
+ */
+export const initShareChatInfo = (data: { shareId: string }) =>
+  GET<InitShareChatResponse>(`/chat/shareChat/init`, data);
+
 /**
  * create a shareChat
  */
 export const createShareChat = (
   data: ShareChatEditType & {
-    modelId: string;
+    appId: string;
   }
 ) => POST<string>(`/chat/shareChat/create`, data);
 
 /**
  * get shareChat
  */
-export const getShareChatList = (modelId: string) =>
-  GET<ShareChatSchema[]>(`/chat/shareChat/list?modelId=${modelId}`);
+export const getShareChatList = (appId: string) =>
+  GET<OutLinkSchema[]>(`/chat/shareChat/list`, { appId });
 
 /**
  * delete a  shareChat
  */
 export const delShareChatById = (id: string) => DELETE(`/chat/shareChat/delete?id=${id}`);
-
-/**
- * 初始化分享聊天
- */
-export const initShareChatInfo = (data: { shareId: string; password: string }) =>
-  GET<InitShareChatResponse>(`/chat/shareChat/init?${Obj2Query(data)}`);

client/src/api/common.ts

@@ -1 +0,0 @@
-import { GET, POST, DELETE } from './request';

client/src/api/fetch.ts

@@ -1,67 +1,115 @@
-import { GUIDE_PROMPT_HEADER, NEW_CHATID_HEADER, QUOTE_LEN_HEADER } from '@/constants/chat';
+import { sseResponseEventEnum, TaskResponseKeyEnum } from '@/constants/chat';
+import { getErrText } from '@/utils/tools';
+import { parseStreamChunk, SSEParseData } from '@/utils/sse';
+import type { ChatHistoryItemResType } from '@/types/chat';
+import { StartChatFnProps } from '@/components/ChatBox';
+import { getToken } from '@/utils/user';
 
 interface StreamFetchProps {
-  url: string;
-  data: any;
-  onMessage: (text: string) => void;
+  url?: string;
+  data: Record<string, any>;
+  onMessage: StartChatFnProps['generatingMessage'];
   abortSignal: AbortController;
 }
-export const streamFetch = ({ url, data, onMessage, abortSignal }: StreamFetchProps) =>
+export const streamFetch = ({
+  url = '/api/openapi/v1/chat/completions',
+  data,
+  onMessage,
+  abortSignal
+}: StreamFetchProps) =>
   new Promise<{
     responseText: string;
-    newChatId: string;
-    systemPrompt: string;
-    quoteLen: number;
+    [TaskResponseKeyEnum.responseData]: ChatHistoryItemResType[];
   }>(async (resolve, reject) => {
     try {
-      const res = await fetch(url, {
+      const response = await window.fetch(url, {
         method: 'POST',
         headers: {
-          'Content-Type': 'application/json'
+          'Content-Type': 'application/json',
+          token: getToken()
         },
-        body: JSON.stringify(data),
-        signal: abortSignal.signal
+        signal: abortSignal.signal,
+        body: JSON.stringify({
+          ...data,
+          detail: true,
+          stream: true
+        })
       });
-      const reader = res.body?.getReader();
-      if (!reader) return;
 
-      const decoder = new TextDecoder();
+      if (!response?.body) {
+        throw new Error('Request Error');
+      }
 
-      const newChatId = decodeURIComponent(res.headers.get(NEW_CHATID_HEADER) || '');
-      const systemPrompt = decodeURIComponent(res.headers.get(GUIDE_PROMPT_HEADER) || '').trim();
-      const quoteLen = res.headers.get(QUOTE_LEN_HEADER)
-        ? Number(res.headers.get(QUOTE_LEN_HEADER))
-        : 0;
+      const reader = response.body?.getReader();
 
+      // response data
       let responseText = '';
+      let errMsg = '';
+      let responseData: ChatHistoryItemResType[] = [];
+
+      const parseData = new SSEParseData();
 
       const read = async () => {
         try {
-          const { done, value } = await reader?.read();
+          const { done, value } = await reader.read();
           if (done) {
-            if (res.status === 200) {
-              resolve({ responseText, newChatId, quoteLen, systemPrompt });
+            if (response.status === 200 && !errMsg) {
+              return resolve({
+                responseText,
+                responseData
+              });
             } else {
-              const parseError = JSON.parse(responseText);
-              reject(parseError?.message || '请求异常');
+              return reject({
+                message: errMsg || '响应过程出现异常~',
+                responseText
+              });
             }
-
-            return;
           }
-          const text = decoder.decode(value);
-          responseText += text;
-          onMessage(text);
+          const chunkResponse = parseStreamChunk(value);
+
+          chunkResponse.forEach((item) => {
+            // parse json data
+            const { eventName, data } = parseData.parse(item);
+
+            if (!eventName || !data) return;
+
+            if (eventName === sseResponseEventEnum.answer && data !== '[DONE]') {
+              const answer: string = data?.choices?.[0]?.delta?.content || '';
+              onMessage({ text: answer });
+              responseText += answer;
+            } else if (
+              eventName === sseResponseEventEnum.moduleStatus &&
+              data?.name &&
+              data?.status
+            ) {
+              onMessage(data);
+            } else if (
+              eventName === sseResponseEventEnum.appStreamResponse &&
+              Array.isArray(data)
+            ) {
+              responseData = data;
+            } else if (eventName === sseResponseEventEnum.error) {
+              errMsg = getErrText(data, '流响应错误');
+            }
+          });
           read();
         } catch (err: any) {
           if (err?.message === 'The user aborted a request.') {
-            return resolve({ responseText, newChatId, quoteLen, systemPrompt });
+            return resolve({
+              responseText,
+              responseData
+            });
           }
-          reject(typeof err === 'string' ? err : err?.message || '请求异常');
+          reject({
+            responseText,
+            message: getErrText(err, '请求异常')
+          });
         }
       };
       read();
     } catch (err: any) {
-      console.log(err, '====');
-      reject(typeof err === 'string' ? err : err?.message || '请求异常');
+      console.log(err, 'fetch error');
+
+      reject(getErrText(err, '请求异常'));
     }
   });

client/src/api/model.ts

@@ -1,44 +0,0 @@
-import { GET, POST, DELETE, PUT } from './request';
-import type { ModelSchema } from '@/types/mongoSchema';
-import type { ModelUpdateParams } from '@/types/model';
-import { RequestPaging } from '../types/index';
-import type { ModelListResponse } from './response/model';
-
-/**
- * 获取模型列表
- */
-export const getMyModels = () => GET<ModelListResponse>('/model/list');
-
-/**
- * 创建一个模型
- */
-export const postCreateModel = (data: { name: string }) => POST<string>('/model/create', data);
-
-/**
- * 根据 ID 删除模型
- */
-export const delModelById = (id: string) => DELETE(`/model/del?modelId=${id}`);
-
-/**
- * 根据 ID 获取模型
- */
-export const getModelById = (id: string) => GET<ModelSchema>(`/model/detail?modelId=${id}`);
-
-/**
- * 根据 ID 更新模型
- */
-export const putModelById = (id: string, data: ModelUpdateParams) =>
-  PUT(`/model/update?modelId=${id}`, data);
-
-/* 共享市场 */
-/**
- * 获取共享市场模型
- */
-export const getShareModelList = (data: { searchText?: string } & RequestPaging) =>
-  POST(`/model/share/getModels`, data);
-
-/**
- * 收藏/取消收藏模型
- */
-export const triggerModelCollection = (modelId: string) =>
-  POST<number>(`/model/share/collection?modelId=${modelId}`);

client/src/api/plugins/common.ts

@@ -0,0 +1,6 @@
+import { GET, POST, PUT, DELETE } from '../request';
+
+import type { FetchResultItem } from '@/types/plugin';
+
+export const fetchUrls = (urlList: string[]) =>
+  POST<FetchResultItem[]>(`/plugins/urlFetch`, { urlList });

client/src/api/plugins/kb.ts

@@ -1,11 +1,17 @@
 import { GET, POST, PUT, DELETE } from '../request';
-import type { KbItemType } from '@/types/plugin';
+import type { KbItemType, KbListItemType } from '@/types/plugin';
 import { RequestPaging } from '@/types/index';
 import { TrainingModeEnum } from '@/constants/plugin';
 import {
   Props as PushDataProps,
   Response as PushDateResponse
 } from '@/pages/api/openapi/kb/pushData';
+import {
+  Props as SearchTestProps,
+  Response as SearchTestResponse
+} from '@/pages/api/openapi/kb/searchTest';
+import { Response as KbDataItemType } from '@/pages/api/plugins/kb/data/getDataById';
+import { Props as UpdateDataProps } from '@/pages/api/openapi/kb/updateData';
 
 export type KbUpdateParams = {
   id: string;
@@ -15,7 +21,7 @@ export type KbUpdateParams = {
 };
 
 /* knowledge base */
-export const getKbList = () => GET<KbItemType[]>(`/plugins/kb/list`);
+export const getKbList = () => GET<KbListItemType[]>(`/plugins/kb/list`);
 
 export const getKbById = (id: string) => GET<KbItemType>(`/plugins/kb/detail?id=${id}`);
 
@@ -37,7 +43,7 @@ export const getKbDataList = (data: GetKbDataListProps) =>
  * 获取导出数据（不分页）
  */
 export const getExportDataList = (kbId: string) =>
-  GET<[string, string][]>(
+  GET<[string, string, string][]>(
     `/plugins/kb/data/exportModelData`,
     { kbId },
     {
@@ -54,8 +60,11 @@ export const getTrainingData = (data: { kbId: string; init: boolean }) =>
     vectorListLen: number;
   }>(`/plugins/kb/data/getTrainingData`, data);
 
+/* get length of system training queue */
+export const getTrainingQueueLen = () => GET<number>(`/plugins/kb/data/getQueueLen`);
+
 export const getKbDataItemById = (dataId: string) =>
-  GET(`/plugins/kb/data/getDataById`, { dataId });
+  GET<KbDataItemType>(`/plugins/kb/data/getDataById`, { dataId });
 
 /**
  * 直接push数据
@@ -66,8 +75,7 @@ export const postKbDataFromList = (data: PushDataProps) =>
 /**
  * 更新一条数据
  */
-export const putKbDataById = (data: { dataId: string; a: string; q?: string }) =>
-  PUT('/openapi/kb/updateData', data);
+export const putKbDataById = (data: UpdateDataProps) => PUT('/openapi/kb/updateData', data);
 /**
  * 删除一条知识库数据
  */
@@ -83,3 +91,6 @@ export const postSplitData = (data: {
   prompt: string;
   mode: `${TrainingModeEnum}`;
 }) => POST(`/openapi/text/pushData`, data);
+
+export const searchText = (data: SearchTestProps) =>
+  POST<SearchTestResponse>(`/openapi/kb/searchTest`, data);

client/src/api/request.ts

@@ -1,5 +1,5 @@
 import axios, { Method, InternalAxiosRequestConfig, AxiosResponse } from 'axios';
-import { clearCookie } from '@/utils/user';
+import { clearToken, getToken } from '@/utils/user';
 import { TOKEN_ERROR_CODE } from '@/service/errorCode';
 
 interface ConfigType {
@@ -18,7 +18,7 @@ interface ResponseDataType {
  */
 function requestStart(config: InternalAxiosRequestConfig): InternalAxiosRequestConfig {
   if (config.headers) {
-    // config.headers.Authorization = getToken();
+    config.headers.token = getToken();
   }
 
   return config;
@@ -57,12 +57,15 @@ function responseError(err: any) {
   }
   // 有报错响应
   if (err?.code in TOKEN_ERROR_CODE) {
-    clearCookie();
+    clearToken();
     window.location.replace(
       `/login?lastRoute=${encodeURIComponent(location.pathname + location.search)}`
     );
     return Promise.reject({ message: 'token过期，重新登录' });
   }
+  if (err?.response?.data) {
+    return Promise.reject(err?.response?.data);
+  }
   return Promise.reject(err);
 }
 
@@ -92,8 +95,8 @@ function request(url: string, data: any, config: ConfigType, method: Method): an
       baseURL: '/api',
       url,
       method,
-      data: method === 'GET' ? null : data,
-      params: method === 'GET' ? data : null, // get请求不携带data，params放在url上
+      data: ['POST', 'PUT'].includes(method) ? data : null,
+      params: !['POST', 'PUT'].includes(method) ? data : null,
       ...config // 用户自定义配置，可以覆盖前面的配置
     })
     .then((res) => checkRes(res.data))
@@ -119,6 +122,6 @@ export function PUT<T>(url: string, data = {}, config: ConfigType = {}): Promise
   return request(url, data, config, 'PUT');
 }
 
-export function DELETE<T>(url: string, config: ConfigType = {}): Promise<T> {
-  return request(url, {}, config, 'DELETE');
+export function DELETE<T>(url: string, data = {}, config: ConfigType = {}): Promise<T> {
+  return request(url, data, config, 'DELETE');
 }

client/src/api/response/app.d.ts

@@ -0,0 +1,6 @@
+import { AppListItemType } from '@/types/app';
+
+export type AppListResponse = {
+  myApps: AppListItemType[];
+  myCollectionApps: AppListItemType[];
+};