v4.2.2 (#312)

Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>

.github/ISSUE_TEMPLATE/bugs.md

@@ -0,0 +1,30 @@
+---
+name: 问题反馈
+about: 详细清晰的描述你遇到的问题
+title: ''
+labels: bug
+assignees: ''
+---
+
+**例行检查**
+
+[//]: # '方框内填 x 表示打钩'
+
+- [ ] 我已确认目前没有类似 issue
+- [ ] 我已完整查看过项目 README，以及[项目文档](https://doc.fastgpt.run/docs/intro/)
+- [ ] 我使用了自己的 key，并确认我的 key 是可正常使用的
+- [ ] 我理解并愿意跟进此 issue，协助测试和提供反馈
+- [x] 我理解并认可上述内容，并理解项目维护者精力有限，**不遵循规则的 issue 可能会被无视或直接关闭**
+
+**你的版本**
+
+- [ ] 公有云版本
+- [ ] 私有部署版本
+
+**问题描述**
+
+**复现步骤**
+
+**预期结果**
+
+**相关截图**

.github/ISSUE_TEMPLATE/config.yml

@@ -0,0 +1,5 @@
+blank_issues_enabled: false
+contact_links:
+  - name: 微信交流群
+    url: https://doc.fastgpt.run/wechat-fastgpt.webp
+    about: FastGPT 全是问题群

.github/ISSUE_TEMPLATE/features.md

@@ -0,0 +1,23 @@
+---
+name: 功能请求
+about: 详细描述你期望的功能
+title: ''
+labels: enhancement
+assignees: ''
+---
+
+**例行检查**
+
+[//]: # '方框内填 x 表示打钩'
+
+- [ ] 我已确认目前没有类似 features
+- [ ] 我已确认我已升级到最新版本
+- [ ] 我已完整查看过项目 README，已确定现有版本无法满足需求
+- [ ] 我理解并愿意跟进此 features，协助测试和提供反馈
+- [x] 我理解并认可上述内容，并理解项目维护者精力有限，**不遵循规则的 features 可能会被无视或直接关闭**
+
+**功能描述**
+
+**应用场景**
+
+**相关示例**

.github/gh-bot.yml

@@ -0,0 +1,30 @@
+version: v1
+debug: true
+action:
+  printConfig: false
+  release:
+    retry: 15s
+    actionName: Release
+    allowOps:
+      - cuisongliu
+bot:
+  prefix: /
+  spe: _
+  allowOps:
+    - sealos-ci-robot
+    - sealos-release-robot
+  email: sealos-ci-robot@sealos.io
+  username: sealos-ci-robot
+repo:
+  org: false
+
+message:
+  success: |
+    🤖 says: Hooray! The action {{.Body}} has been completed successfully. 🎉
+  format_error: |
+    🤖 says: ‼️ There is a formatting issue with the action, kindly verify the action's format.
+  permission_error: |
+    🤖 says: ‼️ The action doesn't have permission to trigger.
+  release_error: |
+    🤖 says: ‼️ Release action failed.
+    Error details: {{.Error}}

.github/imgs/logo.svg

@@ -0,0 +1,14 @@
+<svg width="32" height="32" viewBox="0 0 1041 1348" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path d="M340.837 0.33933L681.068 0.338989V0.455643C684.032 0.378397 686.999 0.339702 689.967 0.339702C735.961 0.3397 781.504 9.62899 823.997 27.6772C866.49 45.7254 905.099 72.1791 937.622 105.528C970.144 138.877 995.942 178.467 1013.54 222.04C1031.14 265.612 1040.2 312.312 1040.2 359.474L340.836 359.474L340.836 1347.84C296.157 1347.84 251.914 1338.55 210.636 1320.49C169.357 1302.43 131.85 1275.95 100.257 1242.58C68.6636 1209.21 43.6023 1169.59 26.5041 1125.99C11.3834 1087.43 2.75216 1046.42 0.957956 1004.81H0.605869L0.605897 368.098H0.70363C0.105752 341.831 2.23741 315.443 7.14306 289.411C20.2709 219.745 52.6748 155.754 100.257 105.528C147.839 55.3017 208.462 21.0975 274.461 7.24017C296.426 2.62833 318.657 0.339101 340.837 0.33933Z" fill="url(#paint0_linear_1172_228)"/>
+<path d="M633.639 904.645H513.029V576.37H635.422V576.377C678.161 576.607 720.454 585.093 759.951 601.37C799.997 617.874 836.384 642.064 867.033 672.559C897.683 703.054 921.996 739.257 938.583 779.101C955.171 818.944 963.709 861.648 963.709 904.775H633.639V904.645Z" fill="url(#paint1_linear_1172_228)"/>
+<defs>
+<linearGradient id="paint0_linear_1172_228" x1="520.404" y1="0.338989" x2="520.404" y2="1347.84" gradientUnits="userSpaceOnUse">
+<stop stop-color="#326DFF"/>
+<stop offset="1" stop-color="#8EAEFF"/>
+</linearGradient>
+<linearGradient id="paint1_linear_1172_228" x1="738.369" y1="576.37" x2="738.369" y2="904.775" gradientUnits="userSpaceOnUse">
+<stop stop-color="#326DFF"/>
+<stop offset="1" stop-color="#8EAEFF"/>
+</linearGradient>
+</defs>
+</svg>

.github/workflows/deploy-docs.yml

@@ -0,0 +1,72 @@
+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: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs && hugo -v --minify
+        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/deploy-preview.yml

@@ -0,0 +1,96 @@
+name: deploy-docs-preview
+
+on:
+  pull_request_target:
+    paths:
+      - 'docSite/**'
+    branches:
+      - 'main'
+  workflow_dispatch:
+
+# 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-preview:
+    # The environment this job references
+    environment:
+      name: Preview
+      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:
+      url: ${{ steps.vercel-action.outputs.preview-url }}
+
+    # 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:
+          ref: ${{ github.event.pull_request.head.ref }}
+          repository: ${{ github.event.pull_request.head.repo.full_name }}
+          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: cd docSite && hugo mod get -u github.com/colinwilson/lotusdocs && hugo -v --minify
+        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: '--local-config ../vercel.json' # Optional
+          working-directory: docSite/public
+          alias-domains: | #Optional
+            fastgpt-staging.vercel.app
+  docsOutput:
+    needs: [ deploy-preview ]
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+        with:
+          ref: ${{ github.event.pull_request.head.ref }}
+          repository: ${{ github.event.pull_request.head.repo.full_name }}
+      - name: Write md
+        run: |
+          echo "# 🤖 Generated by deploy action" > report.md
+          echo "[👀 Visit Preview](${{ needs.deploy-preview.outputs.url }})" >> report.md
+          cat report.md
+      - name: Gh Rebot for Sealos
+        uses: labring/gh-rebot@v0.0.6
+        if: ${{ (github.event_name == 'pull_request_target') }}
+        with:
+          version: v0.0.6
+        env:
+          GH_TOKEN: "${{ secrets.GH_PAT }}"
+          SEALOS_TYPE: "pr_comment"
+          SEALOS_FILENAME: "report.md"
+          SEALOS_REPLACE_TAG: "DEFAULT_REPLACE_DEPLOY"

.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
@@ -23,6 +25,13 @@ jobs:
         uses: docker/setup-buildx-action@v2
         with:
           driver-opts: network=host
+      - name: Cache Docker layers
+        uses: actions/cache@v2
+        with:
+          path: /tmp/.buildx-cache
+          key: ${{ runner.os }}-buildx-${{ github.sha }}
+          restore-keys: |
+            ${{ runner.os }}-buildx-
       - name: Login to GitHub Container Registry
         uses: docker/login-action@v2
         with:
@@ -36,7 +45,6 @@ jobs:
           else
             echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt:${{ github.ref_name }}" >> $GITHUB_ENV
           fi
-
       - name: Build and publish image for main branch or tag push event
         env:
           DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
@@ -48,11 +56,13 @@ jobs:
           --label "org.opencontainers.image.description=fastgpt image" \
           --label "org.opencontainers.image.licenses=MIT" \
           --push \
+          --cache-from=type=local,src=/tmp/.buildx-cache \
+          --cache-to=type=local,dest=/tmp/.buildx-cache \
           -t ${DOCKER_REPO_TAGGED} \
           -f Dockerfile \
           .
   push-to-docker-hub:
-    needs: build-images
+    needs: build-fastgpt-images
     runs-on: ubuntu-20.04
     steps:
       - name: Checkout code
@@ -75,3 +85,28 @@ jobs:
         run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
       - name: Push image to Docker Hub
         run: docker push ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
+  push-to-ali-hub:
+    needs: build-fastgpt-images
+    runs-on: ubuntu-20.04
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v3
+      - name: Login to Ali Hub
+        uses: docker/login-action@v2
+        with:
+          registry: registry.cn-hangzhou.aliyuncs.com
+          username: ${{ secrets.ALI_HUB_USERNAME }}
+          password: ${{ secrets.ALI_HUB_PASSWORD }}
+      - name: Set DOCKER_REPO_TAGGED based on branch or tag
+        run: |
+          if [[ "${{ github.ref_name }}" == "main" ]]; then
+            echo "IMAGE_TAG=latest" >> $GITHUB_ENV
+          else
+            echo "IMAGE_TAG=${{ github.ref_name }}" >> $GITHUB_ENV
+          fi
+      - name: Pull image from GitHub Container Registry
+        run: docker pull ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}}
+      - name: Tag image with Docker Hub repository name and version tag
+        run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}
+      - name: Push image to Docker Hub
+        run: docker push ${{ secrets.ALI_IMAGE_NAME }}:${{env.IMAGE_TAG}}

.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/

.prettierignore

@@ -1,4 +1,5 @@
 dist
 .vscode
 **/.DS_Store
-node_modules
+node_modules
+docSite/

.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.
 
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-      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
 
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README.md

@@ -1,54 +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。并且 OpenAPI Chat 接口兼容 OpenAI 接口，意味着你只需修改 BaseUrl 和 Authorization 即可在已有项目基础上接入 FastGpt！
+<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>
+
+https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409bd33f6d4
 
 ## 🛸 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, 全局字符串变量
+   - [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
+   - [ ] 嵌入 Laf，实现在线编写 HTTP 模块
+   - [ ] 连续对话引导
+   - [ ] 对话多路线选择
+   - [x] 源文件引用追踪
+   - [ ] 自定义文件阅读器
+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 手动输入, 直接分段, QA 拆分导入
+   - [x] 支持 url 读取、 CSV 批量导入
+   - [x] 支持知识库单独设置向量模型
+   - [x] 源文件存储
+   - [ ] 文件学习 Agent
+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
+   - [x] 统一查阅对话记录，并对数据进行标注
 
 ## 👨‍💻 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/intro/)
+* [部署 FastGPT](https://doc.fastgpt.run/docs/installation)
+* [系统配置文件说明](https://doc.fastgpt.run/docs/development/configuration/)
+* [多模型配置](https://doc.fastgpt.run/docs/installation/one-api/)
+* [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
+
+添加 wx 小助手加入：
+
+![](https://otnvvf-imgs.oss.laf.run/wx300.jpg)
 
 ## 👀 其他
 
-- [FastGpt 常见问题](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
-- [docker 部署教程](https://www.bilibili.com/video/BV1jo4y147fT/)
-- [公众号接入](https://www.bilibili.com/video/BV1xh4y1t7fy/)
-- [FastGpt V3.4 更新集合](https://www.bilibili.com/video/BV1Lo4y147Qh/?vd_source=92041a1a395f852f9d89158eaa3f61b4)
-- [FastGpt 知识库演示](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
+- [FastGPT 常见问题](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
+- [docker 部署教程视频](https://www.bilibili.com/video/BV1jo4y147fT/)
+- [FastGPT 知识库演示](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
 
-## Powered by
+## 💪 相关项目
 
-- [TuShan: 5 分钟搭建后台管理系统](https://github.com/msgbyte/tushan)
 - [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: 令牌管理 & 二次分发，支持 Azure](https://github.com/songquanpeng/one-api)
+- [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
+
+- [OnWeChat 个人微信/企微机器人](https://doc.fastgpt.run/docs/use-cases/onwechat/)
+- [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 [FastGPT 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 [FastGPT 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 built on the LLM. It offers out-of-the-box data processing and model invocation capabilities. Moreover, it allows for workflow orchestration through Flow visualization, thereby enabling complex question and answer scenarios!
+
+</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 @@
-                                 Apache License
-                           Version 2.0, January 2004
-                        http://www.apache.org/licenses/
-
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admin/README.md

@@ -1,43 +0,0 @@
-# FastGpt Admin
-
-## 项目原理
-
-使用 [Tushan](https://tushan.msgbyte.com/) 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. `cp .env.template .env.local`: 复制 .env.template 文件，添加环境变量
-2. `pnpm i`
-3. `pnpm dev`
-4. 打开 `http://localhost:5173/` 访问前端页面
-
-## 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
-PARENT_URL=http://localhost:3000
-PARENT_ROOT_KEY=rootkey
-```
-
-## 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>Fast GPT</title>
-  </head>
-  <body>
-    <div id="root"></div>
-    <script type="module" src="/src/main.tsx"></script>
-  </body>
-</html>

admin/package.json

@@ -1,42 +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",
-    "nodemon": "^2.0.22",
-    "react": "^18.2.0",
-    "react-admin": "^4.11.0",
-    "react-dom": "^18.2.0",
-    "react-i18next": "^12.3.1",
-    "tushan": "^0.2.30"
-  },
-  "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

@@ -1,30 +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);
-
-app.get('/*', (req, res) => {
-  res.sendFile(new URL('dist/index.html', import.meta.url).pathname);
-});
-
-app.use((err, req, res, next) => {
-  res.sendFile(new URL('dist/index.html', import.meta.url).pathname);
-});
-
-
-const PORT = process.env.PORT || 3001;
-app.listen(PORT, () => {
-  console.log(`Server is running on port ${PORT}`);
-});

admin/service/route/app.js

@@ -1,87 +0,0 @@
-import { 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;
-      const name = req.query.name || '';
-      const id = req.query.id || '';
-
-      const where = {
-        ...(name && { name: { $regex: name, $options: 'i' } }),
-        ...(id && { _id: id })
-      };
-
-      const modelsRaw = await Model.find(where)
-        .skip(start)
-        .limit(end - start)
-        .sort({ [sort]: order, 'share.isShare': -1, 'share.collection': -1 });
-
-      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,
-          intro: model.intro,
-          model: model.chat?.chatModel,
-          relatedKbs: kbNames, // 将relatedKbs的id转换为相应的Kb名称
-          systemPrompt: model.chat?.systemPrompt || '',
-          temperature: model.chat?.temperature || 0,
-          'share.topNum': model.share?.topNum || 0,
-          'share.isShare': model.share?.isShare || false,
-          'share.collection': model.share?.collection || 0
-        };
-
-        models.push(orderedModel);
-      }
-      const totalCount = await Model.countDocuments(where);
-      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 });
-    }
-  });
-
-  // 修改 app 信息
-  app.put('/models/:id', auth(), async (req, res) => {
-    try {
-      const _id = req.params.id;
-
-      let {
-        share: { isShare, topNum },
-        intro
-      } = req.body;
-
-      await Model.findByIdAndUpdate(_id, {
-        $set: {
-          intro: intro,
-          'share.topNum': Number(topNum),
-          'share.isShare': isShare === 'true' || isShare === true
-        }
-      });
-
-      res.json({});
-    } catch (err) {
-      console.log(`Error updating user: ${err}`);
-      res.status(500).json({ error: 'Error updating user' });
-    }
-  });
-};

admin/service/route/kb.js

@@ -1,58 +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 name = req.query.name || '';
-
-      const where = {
-        ...(name
-          ? {
-              name: { $regex: name, $options: 'i' }
-            }
-          : {}),
-        ...(tag
-          ? {
-              tags: { $elemMatch: { $regex: tag, $options: 'i' } }
-            }
-          : {})
-      };
-      console.log(where);
-
-      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

@@ -1,133 +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) {
-        return next(new Error("unAuthorization"))
-      }
-
-      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

@@ -1,182 +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) => {
-  // 统计近 30 天注册用户数量
-  app.get('/users/data', auth(), async (req, res) => {
-    try {
-      const day = 60;
-      let startCount = await User.countDocuments({
-        createTime: { $lt: new Date(Date.now() - day * 24 * 60 * 60 * 1000) }
-      });
-      const usersRaw = await User.aggregate([
-        { $match: { createTime: { $gte: new Date(Date.now() - day * 24 * 60 * 60 * 1000) } } },
-        {
-          $group: {
-            _id: {
-              year: { $year: '$createTime' },
-              month: { $month: '$createTime' },
-              day: { $dayOfMonth: '$createTime' }
-            },
-            count: { $sum: 1 }
-          }
-        },
-        {
-          $project: {
-            _id: 0,
-            date: { $dateFromParts: { year: '$_id.year', month: '$_id.month', day: '$_id.day' } },
-            count: 1
-          }
-        },
-        { $sort: { date: 1 } }
-      ]);
-
-      const countResult = usersRaw.map((item) => {
-        const increaseRate = `${((item.count / startCount) * 100).toFixed(2)}%`;
-        startCount += item.count;
-        return {
-          date: item.date,
-          count: startCount,
-          increase: item.count,
-          increaseRate
-        };
-      });
-
-      res.json(countResult);
-    } catch (err) {
-      console.log(`Error fetching users: ${err}`);
-      res.status(500).json({ error: 'Error fetching users' });
-    }
-  });
-  // 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

@@ -1,111 +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,
-  intro: String,
-  chat: {
-    relatedKbs: [mongoose.Schema.Types.ObjectId],
-    systemPrompt: String,
-    temperature: Number,
-    chatModel: String
-  },
-  share: {
-    topNum: Number,
-    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({
-  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

@@ -1,140 +0,0 @@
-import {
-  createTextField,
-  jsonServerProvider,
-  ListTable,
-  Resource,
-  Tushan,
-  fetchJSON,
-  TushanContextProps,
-  HTTPClient
-} from 'tushan';
-import { authProvider } from './auth';
-import { userFields, payFields, kbFields, ModelFields, SystemFields } from './fields';
-import { Dashboard } from './Dashboard';
-import { IconUser, IconApps, IconBook, IconStamp } from 'tushan/icon';
-import { i18nZhTranslation } from 'tushan/client/i18n/resources/zh';
-
-const authStorageKey = 'tushan:auth';
-
-const httpClient: HTTPClient = (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);
-
-const i18n: TushanContextProps['i18n'] = {
-  languages: [
-    {
-      key: 'zh',
-      label: '简体中文',
-      translation: i18nZhTranslation
-    }
-  ]
-};
-
-function App() {
-  return (
-    <Tushan
-      basename="/"
-      header={'FastGpt-Admin'}
-      i18n={i18n}
-      dataProvider={dataProvider}
-      authProvider={authProvider}
-      dashboard={<Dashboard />}
-    >
-      <Resource
-        name="users"
-        label="用户信息"
-        icon={<IconUser />}
-        list={
-          <ListTable
-            filter={[
-              createTextField('username', {
-                label: 'username'
-              })
-            ]}
-            fields={userFields}
-            action={{ detail: true, edit: true }}
-          />
-        }
-      />
-      <Resource
-        name="models"
-        icon={<IconApps />}
-        label="应用"
-        list={
-          <ListTable
-            filter={[
-              createTextField('id', {
-                label: 'id'
-              }),
-              createTextField('name', {
-                label: 'name'
-              })
-            ]}
-            fields={ModelFields}
-            action={{ detail: true, edit: true }}
-          />
-        }
-      />
-      <Resource
-        name="pays"
-        label="支付记录"
-        icon={<IconStamp />}
-        list={
-          <ListTable
-            filter={[
-              createTextField('userId', {
-                label: 'userId'
-              })
-            ]}
-            fields={payFields}
-            action={{ detail: true }}
-          />
-        }
-      />
-      <Resource
-        name="kbs"
-        label="知识库"
-        icon={<IconBook />}
-        list={
-          <ListTable
-            filter={[
-              createTextField('name', {
-                label: 'name'
-              }),
-              createTextField('tag', {
-                label: 'tag'
-              })
-            ]}
-            fields={kbFields}
-            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

@@ -1,224 +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';
-import {
-  XAxis,
-  YAxis,
-  CartesianGrid,
-  Tooltip,
-  ResponsiveContainer,
-  AreaChart,
-  Area
-} from 'tushan/chart';
-import dayjs from 'dayjs';
-
-const authStorageKey = 'tushan:auth';
-
-type UsersChartDataType = { count: number; date: string; increase: number; increaseRate: string };
-
-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);
-  const [usersData, setUsersData] = useState<UsersChartDataType[]>([]);
-
-  useEffect(() => {
-    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 ${token}`
-    };
-
-    const fetchCounts = async () => {
-      const userResponse = await fetch(`${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');
-
-      if (userTotalCount) {
-        setUserCount(Number(userTotalCount));
-      }
-      if (kbTotalCount) {
-        setkbCount(Number(kbTotalCount));
-      }
-      if (modelTotalCount) {
-        setmodelCount(Number(modelTotalCount));
-      }
-    };
-    const fetchUserData = async () => {
-      const userResponse: UsersChartDataType[] = await fetch(`${baseUrl}/users/data`, {
-        headers
-      }).then((res) => res.json());
-      setUsersData(
-        userResponse.map((item) => ({
-          ...item,
-          date: dayjs(item.date).format('MM/DD')
-        }))
-      );
-    };
-
-    fetchCounts();
-    fetchUserData();
-  }, []);
-
-  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={'应用'} count={modelCount} />
-              </Grid.Col>
-            </Grid.Row>
-
-            <Divider />
-            <UserChart data={usersData} />
-          </Card>
-        </Space>
-      </div>
-    </div>
-  );
-});
-Dashboard.displayName = 'Dashboard';
-
-const DashboardItem = React.memo(
-  (props: { title: string; href?: string; children: React.ReactNode }) => {
-    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.memo((props: { icon: React.ReactElement; title: string; count: number }) => {
-  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';
-
-const CustomTooltip = ({ active, payload }: any) => {
-  const data = payload?.[0]?.payload as UsersChartDataType;
-  if (active && data) {
-    return (
-      <div
-        style={{
-          background: 'white',
-          padding: '5px 8px',
-          borderRadius: '8px',
-          boxShadow: '2px 2px 5px rgba(0,0,0,0.2)'
-        }}
-      >
-        <p className="label">
-          count: <strong>{data.count}</strong>
-        </p>
-        <p className="label">
-          increase: <strong>{data.increase}</strong>
-        </p>
-        <p className="label">
-          increaseRate: <strong>{data.increaseRate}</strong>
-        </p>
-      </div>
-    );
-  }
-  return null;
-};
-
-const UserChart = ({ data }: { data: UsersChartDataType[] }) => {
-  return (
-    <ResponsiveContainer width="100%" height={320}>
-      <AreaChart
-        width={730}
-        height={250}
-        data={data}
-        margin={{ top: 10, right: 30, left: 0, bottom: 0 }}
-      >
-        <defs>
-          <linearGradient id="colorUv" x1="0" y1="0" x2="0" y2="1">
-            <stop offset="5%" stopColor="#8884d8" stopOpacity={0.8} />
-            <stop offset="95%" stopColor="#8884d8" stopOpacity={0} />
-          </linearGradient>
-          <linearGradient id="colorPv" x1="0" y1="0" x2="0" y2="1">
-            <stop offset="5%" stopColor="#82ca9d" stopOpacity={0.8} />
-            <stop offset="95%" stopColor="#82ca9d" stopOpacity={0} />
-          </linearGradient>
-        </defs>
-        <XAxis dataKey="date" />
-        <YAxis />
-        <CartesianGrid strokeDasharray="3 3" />
-        <Tooltip content={<CustomTooltip />} />
-        <Area
-          type="monotone"
-          dataKey="count"
-          stroke="#82ca9d"
-          fillOpacity={1}
-          fill="url(#colorPv)"
-        />
-      </AreaChart>
-    </ResponsiveContainer>
-  );
-};

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

@@ -1,52 +0,0 @@
-import { createTextField, createNumberField } from 'tushan';
-
-export const userFields = [
-  createTextField('id', { label: 'ID' }),
-  createTextField('username', { label: '用户名', edit: { hidden: true } }),
-  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', edit: { hidden: true } }),
-  createTextField('name', { label: '知识库' }),
-  createTextField('tags', { label: 'Tags' })
-];
-
-export const ModelFields = [
-  createTextField('id', { label: 'ID' }),
-  createTextField('userId', { label: '所属用户', list: { hidden: true }, edit: { hidden: true } }),
-  createTextField('name', { label: '名字' }),
-  createTextField('model', { label: '模型', edit: { hidden: true } }),
-  createTextField('share.collection', { label: '收藏数', list: { sort: true } }),
-  createTextField('share.topNum', { label: '置顶等级', list: { sort: true } }),
-  createTextField('share.isShare', { label: '是否分享(true,false)' }),
-  createTextField('intro', { label: '介绍', list: { width: 400 } }),
-  createTextField('relatedKbs', { label: '引用的知识库', list: { hidden: true } }),
-  createTextField('temperature', { label: '温度' }),
-  createTextField('systemPrompt', {
-    label: '提示词',
-    list: {
-      width: 400,
-      hidden: true
-    }
-  })
-];
-
-export const SystemFields = [
-  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

@@ -1,33 +1,22 @@
-# 运行端口，如果不是 3000 口运行，需要改成其他的。注意：不是改了这个变量就会变成其他端口，而是因为改成其他端口，才用这个变量。
-PORT=3000
-# database max link
-DB_MAX_LINK=15
-# 代理
-# AXIOS_PROXY_HOST=127.0.0.1
-# AXIOS_PROXY_PORT=7890
-# email
-MY_MAIL=xxxx@qq.com
-MAILE_CODE=xxxx
-# ali ems
-aliAccessKeyId=xxxx
-aliAccessKeySecret=xxxx
-aliSignName=xxxx
-aliTemplateCode=xxxx
+# 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
+# 数据库最大连接数
+DB_MAX_LINK=5
 # token
 TOKEN_KEY=dfdasfdas
+# 文件阅读时的秘钥
+FILE_TOKEN_KEY=filetokenkey
 # root key, 最高权限
 ROOT_KEY=fdafasd
-# 使用 oneapi 
-# ONEAPI_URL=https://xxxx.cloud.sealos.io/v1
-# ONEAPI_KEY=sk-xxxx
-# openai 的基本地址（国外的可以忽略，默认走 api.openai.com）。不用 oneapi 的话需要下面 2 个参数，用户的 key 也会走下面的参数
-OPENAI_BASE_URL=https://xxxx.cloud.sealos.io/openai/v1
-OPENAIKEY=sk-xxxx
+# 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/?authSource=admin
-MONGODB_NAME=fastgpt
-PG_HOST=0.0.0.0
-PG_PORT=8100
-PG_USER=root
-PG_PASSWORD=psw
-PG_DB_NAME=dbname
+MONGODB_URI=mongodb://username:password@0.0.0.0:27017/fastgpt?authSource=admin
+PG_URL=postgresql://username:password@host:port/postgres
+# 首页路径
+HOME_URL=/

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 +1,66 @@
+{
+  "FeConfig": {
+    "show_emptyChat": true,
+    "show_register": false,
+    "show_appStore": false,
+    "show_userDetail": false,
+    "show_contact": true,
+    "show_git": true,
+    "show_doc": true,
+    "systemTitle": "FastGPT",
+    "authorText": "Made by FastGPT Team.",
+    "limit": {
+      "exportLimitMinutes": 0
+    },
+    "scripts": []
+  },
+  "SystemParams": {
+    "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": ""
+    }
+  ],
+  "VectorModels": [
+    {
+      "model": "text-embedding-ada-002",
+      "name": "Embedding-2",
+      "price": 0,
+      "defaultToken": 500,
+      "maxToken": 3000
+    }
+  ],
+  "QAModel": {
+    "model": "gpt-3.5-turbo-16k",
+    "name": "GPT35-16k",
+    "maxToken": 16000,
+    "price": 0
+  }
+}

client/next-i18next.config.js

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

client/next.config.js

@@ -1,22 +1,33 @@
 /** @type {import('next').NextConfig} */
+const { i18n } = require('./next-i18next.config');
 
 const nextConfig = {
+  i18n,
   output: 'standalone',
   reactStrictMode: false,
   compress: true,
 
-  webpack(config) {
-    config.experiments = {
-      asyncWebAssembly: true,
-      layers: true
+  webpack(config, { isServer }) {
+    if (!isServer) {
+      config.resolve = {
+        ...config.resolve,
+        fallback: {
+          ...config.resolve.fallback,
+          fs: false
+        }
+      };
+    }
+    config.module = {
+      ...config.module,
+      rules: config.module.rules.concat([
+        {
+          test: /\.svg$/i,
+          issuer: /\.[jt]sx?$/,
+          use: ['@svgr/webpack']
+        }
+      ]),
+      exprContextCritical: false
     };
-    config.module.rules = config.module.rules.concat([
-      {
-        test: /\.svg$/i,
-        issuer: /\.[jt]sx?$/,
-        use: ['@svgr/webpack']
-      }
-    ]);
 
     return config;
   }

client/package.json

@@ -1,7 +1,7 @@
 {
   "name": "fastgpt",
-  "version": "3.7",
-  "private": true,
+  "version": "4.2.1",
+  "private": false,
   "scripts": {
     "dev": "next dev",
     "build": "next build",
@@ -9,15 +9,12 @@
     "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": "^2.7.0",
     "@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",
@@ -26,47 +23,64 @@
     "crypto": "^1.0.1",
     "date-fns": "^2.30.0",
     "dayjs": "^1.11.7",
+    "downloadjs": "^1.4.7",
+    "echarts": "^5.4.1",
+    "echarts-gl": "^2.0.9",
     "formidable": "^2.1.1",
     "framer-motion": "^9.0.6",
     "hyperdown": "^2.4.29",
+    "i18next": "^22.5.1",
     "immer": "^9.0.19",
+    "js-cookie": "^3.0.5",
+    "js-tiktoken": "^1.0.7",
+    "jschardet": "^3.0.0",
+    "jsdom": "^22.1.0",
     "jsonwebtoken": "^9.0.0",
     "lodash": "^4.17.21",
     "mammoth": "^1.5.1",
     "mermaid": "^10.2.3",
     "mongoose": "^6.10.0",
+    "multer": "1.4.5-lts.1",
     "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": "^3.3.0",
     "papaparse": "^5.4.1",
     "pg": "^8.10.0",
+    "pg-query-stream": "^4.5.3",
     "react": "18.2.0",
     "react-day-picker": "^8.7.1",
     "react-dom": "18.2.0",
     "react-hook-form": "^7.43.1",
+    "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",
     "remark-math": "^5.1.1",
     "request-ip": "^3.3.0",
     "sass": "^1.58.3",
+    "timezones-list": "^3.0.2",
     "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/downloadjs": "^1.4.3",
     "@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/multer": "^1.4.7",
     "@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

@@ -1,16 +1,20 @@
 ### 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)  
+- [**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)
+- [点击查看商业版文档](https://fael3z0zfze.feishu.cn/docx/F155dbirfo8vDDx2WgWc6extnwf)
+
 **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 | 0.015 |
-| chatgpt16K - 对话 | 0.015 |
-| gpt4 - 对话 | 0.1 |
-| 文件拆分 | 0.015 |
+| 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 QA 拆分 | 0.03 |
 
 **其他问题**
 | 交流群 | 小助手 |

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

@@ -1,34 +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 | 0.015 |
-| chatgpt16K - 对话 | 0.015 |
-| gpt4 - 对话 | 0.1 |
-| 文件拆分 | 0.015 |
-
-### 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

@@ -1,7 +1,7 @@
-### Fast GPT V3.9
+### Fast GPT V4.4.1
 
-1. 限时优惠活动，更低价的 tokens。
-2. 新增 - 直接分段训练，可调节段落大小。
-3. 优化 - tokens 计算性能。
-4. 优化 - key 池管理，结合 one-api 项目，实现更方便的 key 池管理，具体参考[docker 部署 FastGpt](https://github.com/c121914yu/FastGPT/blob/main/docs/deploy/docker.md)
-5. 新增 - V2 版 OpenAPI，可以在任意第三方套壳 ChatGpt 项目中直接使用 FastGpt 的应用，注意！是直接，不需要改任何代码。具体参考[API 文档中《在第三方应用中使用 FastGpt》](https://kjqvjse66l.feishu.cn/docx/DmLedTWtUoNGX8xui9ocdUEjnNh)
+1. 新增 - 知识库目录结构
+2. 新增 - 分享链接支持配置 IP 限流、过期时间、最大额度等
+3. 优化 - [使用文档](https://doc.fastgpt.run/docs/intro/)
+4. [点击查看高级编排介绍文档](https://doc.fastgpt.run/docs/workflow)
+5. [点击查看商业版](https://fael3z0zfze.feishu.cn/docx/F155dbirfo8vDDx2WgWc6extnwf)

client/public/icon/logo.svg

@@ -0,0 +1,14 @@
+<svg width="1041" height="1348" viewBox="0 0 1041 1348" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path d="M340.837 0.33933L681.068 0.338989V0.455643C684.032 0.378397 686.999 0.339702 689.967 0.339702C735.961 0.3397 781.504 9.62899 823.997 27.6772C866.49 45.7254 905.099 72.1791 937.622 105.528C970.144 138.877 995.942 178.467 1013.54 222.04C1031.14 265.612 1040.2 312.312 1040.2 359.474L340.836 359.474L340.836 1347.84C296.157 1347.84 251.914 1338.55 210.636 1320.49C169.357 1302.43 131.85 1275.95 100.257 1242.58C68.6636 1209.21 43.6023 1169.59 26.5041 1125.99C11.3834 1087.43 2.75216 1046.42 0.957956 1004.81H0.605869L0.605897 368.098H0.70363C0.105752 341.831 2.23741 315.443 7.14306 289.411C20.2709 219.745 52.6748 155.754 100.257 105.528C147.839 55.3017 208.462 21.0975 274.461 7.24017C296.426 2.62833 318.657 0.339101 340.837 0.33933Z" fill="url(#paint0_linear_1172_228)"/>
+<path d="M633.639 904.645H513.029V576.37H635.422V576.377C678.161 576.607 720.454 585.093 759.951 601.37C799.997 617.874 836.384 642.064 867.033 672.559C897.683 703.054 921.996 739.257 938.583 779.101C955.171 818.944 963.709 861.648 963.709 904.775H633.639V904.645Z" fill="url(#paint1_linear_1172_228)"/>
+<defs>
+<linearGradient id="paint0_linear_1172_228" x1="520.404" y1="0.338989" x2="520.404" y2="1347.84" gradientUnits="userSpaceOnUse">
+<stop stop-color="#326DFF"/>
+<stop offset="1" stop-color="#8EAEFF"/>
+</linearGradient>
+<linearGradient id="paint1_linear_1172_228" x1="738.369" y1="576.37" x2="738.369" y2="904.775" gradientUnits="userSpaceOnUse">
+<stop stop-color="#326DFF"/>
+<stop offset="1" stop-color="#8EAEFF"/>
+</linearGradient>
+</defs>
+</svg>

client/public/imgs/files/csv.svg

@@ -0,0 +1 @@
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client/public/imgs/home/icon_1.svg

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client/public/imgs/home/icon_2.svg

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client/public/imgs/home/icon_4.svg

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client/public/imgs/home/icon_6.svg

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+<?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/baidutongji.js

@@ -1,8 +0,0 @@
-var _hmt = _hmt || [];
-
-(function () {
-  const hm = document.createElement('script');
-  hm.src = 'https://hm.baidu.com/hm.js?a5357e9dab086658bac0b6faf148882e';
-  const s = document.getElementsByTagName('script')[0];
-  s.parentNode.insertBefore(hm, s);
-})();

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;