perf: mermaid overflow

* 添加mermaid图表接口

* 添加类型文件

* Update package.json

* Create next-env.d.ts

.env.template

@@ -1,6 +0,0 @@
-AXIOS_PROXY_HOST=127.0.0.1
-AXIOS_PROXY_PORT=33210
-MONGODB_UR=
-MY_MAIL=
-MAILE_CODE=
-TOKEN_KEY=

.eslintrc.json

@@ -1,3 +0,0 @@
-{
-  "extends": "next/core-web-vitals"
-}

.github/workflows/image.yml

@@ -0,0 +1,77 @@
+name: Build images and copy image to docker
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - 'main'
+    tags:
+      - 'v*.*.*'
+jobs:
+  build-images:
+    runs-on: ubuntu-20.04
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 1
+      - name: Install Dependencies
+        run: |
+          sudo apt update && sudo apt install -y nodejs npm
+      - name: Set up QEMU (optional)
+        uses: docker/setup-qemu-action@v2
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v2
+        with:
+          driver-opts: network=host
+      - name: Login to GitHub Container Registry
+        uses: docker/login-action@v2
+        with:
+          registry: ghcr.io
+          username: ${{ github.repository_owner }}
+          password: ${{ secrets.GH_PAT }}
+      - name: Set DOCKER_REPO_TAGGED based on branch or tag
+        run: |
+          if [[ "${{ github.ref_name }}" == "main" ]]; then
+            echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt:latest" >> $GITHUB_ENV
+          else
+            echo "DOCKER_REPO_TAGGED=ghcr.io/${{ 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 }}
+        run: |
+          cd client && \
+          docker buildx build \
+          --platform linux/amd64,linux/arm64 \
+          --label "org.opencontainers.image.source=  https://github.com/  ${{ github.repository_owner }}/FastGPT" \
+          --label "org.opencontainers.image.description=fastgpt image" \
+          --label "org.opencontainers.image.licenses=MIT" \
+          --push \
+          -t ${DOCKER_REPO_TAGGED} \
+          -f Dockerfile \
+          .
+  push-to-docker-hub:
+    needs: build-images
+    runs-on: ubuntu-20.04
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v3
+      - name: Login to Docker Hub
+        uses: docker/login-action@v2
+        with:
+          username: ${{ secrets.DOCKER_HUB_NAME }}
+          password: ${{ secrets.DOCKER_HUB_PASSWORD }}
+      - name: Set DOCKER_REPO_TAGGED based on branch or tag
+        run: |
+          if [[ "${{ 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}} ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
+      - name: Push image to Docker Hub
+        run: docker push ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}

.gitignore

@@ -1,19 +1,10 @@
-# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
-
 # dependencies
-/node_modules
-/.pnp
-.pnp.js
-
-# testing
-/coverage
-
+node_modules/
 # next.js
-/.next/
-/out/
-
+.next/
+out/
 # production
-/build
+build/
 
 # misc
 .DS_Store
@@ -34,6 +25,7 @@ yarn-error.log*
 # typescript
 *.tsbuildinfo
 next-env.d.ts
-public/trainData/
-.vscode/
-platform.json
+platform.json
+testApi/
+local/
+dist/

.husky/pre-commit

@@ -1,6 +1,6 @@
-#!/usr/bin/env sh
-. "$(dirname -- "$0")/_/husky.sh"
-
-if command -v npx >/dev/null 2>&1; then
-  npx lint-staged
+#!/usr/bin/env sh
+. "$(dirname -- "$0")/_/husky.sh"
+
+if command -v npx >/dev/null 2>&1; then
+  npx lint-staged
 fi

.prettierignore

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

.prettierrc.js

@@ -1,21 +1,20 @@
 module.exports = {
-    printWidth: 100,
-    tabWidth: 2,
-    useTabs: false,
-    semi: true,
-    singleQuote: true,
-    quoteProps: 'as-needed',
-    jsxSingleQuote: false,
-    trailingComma: 'none',
-    bracketSpacing: true,
-    jsxBracketSameLine: false,
-    arrowParens: 'always',
-    rangeStart: 0,
-    rangeEnd: Infinity,
-    requirePragma: false,
-    insertPragma: false,
-    proseWrap: 'preserve',
-    htmlWhitespaceSensitivity: 'css',
-    endOfLine: 'lf'
+  printWidth: 100,
+  tabWidth: 2,
+  useTabs: false,
+  semi: true,
+  singleQuote: true,
+  quoteProps: 'as-needed',
+  jsxSingleQuote: false,
+  trailingComma: 'none',
+  bracketSpacing: true,
+  jsxBracketSameLine: false,
+  arrowParens: 'always',
+  rangeStart: 0,
+  rangeEnd: Infinity,
+  requirePragma: false,
+  insertPragma: false,
+  proseWrap: 'preserve',
+  htmlWhitespaceSensitivity: 'css',
+  endOfLine: 'lf'
 };
-  

.vscode/settings.json

@@ -1,5 +1,6 @@
-{
-    "editor.formatOnType": true, 
-    "editor.formatOnSave": true ,
-    "prettier.tabWidth": 2
+{
+    "editor.formatOnSave": true, //每次保存自动格式化
+    "editor.mouseWheelZoom": true,
+    "typescript.tsdk": "./client/node_modules/typescript/lib",
+    "prettier.prettierPath": "./node_modules/prettier"
 }

LICENSE

@@ -0,0 +1,201 @@
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Makefile

@@ -1,47 +0,0 @@
-SERVICE_NAME=doc-gpt
-# Image URL to use all building/pushing image targets
-IMG ?= $(SERVICE_NAME):latest
-
-.PHONY: all
-all: build
-
-##@ General
-
-# The help target prints out all targets with their descriptions organized
-# beneath their categories. The categories are represented by '##@' and the
-# target descriptions by '##'. The awk commands is responsible for reading the
-# entire set of makefiles included in this invocation, looking for lines of the
-# file as xyz: ## something, and then pretty-format the target and help. Then,
-# if there's a line with ##@ something, that gets pretty-printed as a category.
-# More info on the usage of ANSI control characters for terminal formatting:
-# https://en.wikipedia.org/wiki/ANSI_escape_code#SGR_parameters
-# More info on the awk command:
-# http://linuxcommand.org/lc3_adv_awk.php
-
-.PHONY: help
-help: ## Display this help.
-	@awk 'BEGIN {FS = ":.*##"; printf "\nUsage:\n  make \033[36m<target>\033[0m\n"} /^[a-zA-Z_0-9-]+:.*?##/ { printf "  \033[36m%-15s\033[0m %s\n", $$1, $$2 } /^##@/ { printf "\n\033[1m%s\033[0m\n", substr($$0, 5) } ' $(MAKEFILE_LIST)
-
-##@ Build
-
-.PHONY: build
-build: ## Build desktop-frontend binary.
-	pnpm run build
-
-.PHONY: run
-run: ## Run a dev service from host.
-	pnpm run start
-
-.PHONY: docker-build
-docker-build: ## Build docker image with the desktop-frontend.
-	docker build -t c121914yu/doc-gpt:latest .
-
-##@ Deployment
-
-.PHONY: docker-run
-docker-run:  ## Push docker image.
-	docker run -d -p 8008:3000 --name doc-gpt -v /web_project/yjl/doc-gpt/logs:/app/.next/logs c121914yu/doc-gpt:latest
-
-#TODO: add support of docker push
-
-#TODO: add support of sealos apply

README.md

@@ -1,73 +1,47 @@
-# Doc GPT 
+# Fast GPT
 
-## 初始化
-复制 .env.template 成 .env.local ，填写核心参数  
+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。
 
-```
-AXIOS_PROXY_HOST=axios代理地址，目前 openai 接口都需要走代理，本机的话就填 127.0.0.1
-AXIOS_PROXY_PORT=代理端口
-MONGODB_UR=mongo数据库地址
-MY_MAIL=发送验证码邮箱
-MAILE_CODE=邮箱秘钥
-TOKEN_KEY=随便填一个，用于生成和校验token
-```
+## 🛸 在线体验
 
-```bash
-pnpm dev
-```
+🎉 [fastgpt.run](https://fastgpt.run/)
+🎉 [ai.fastgpt.run](https://ai.fastgpt.run/)
 
-## 部署
-```bash
-# 本地 docker 打包
-docker build -t imageName .
-docker push imageName
+![Demo](docs/imgs/demo.png?raw=true 'demo')
 
-# 服务器拉取部署
-docker pull imageName
-docker stop doc-gpt || true
-docker rm doc-gpt || true
-# 运行时才把参数写入
-docker run -d --network=host --name doc-gpt -e AXIOS_PROXY_HOST= -e AXIOS_PROXY_PORT= -e MAILE_CODE= -e TOKEN_KEY= -e MONGODB_UR= imageName
-```
+#### 知识库原理图
 
-Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
+![KBProcess](docs/imgs/KBProcess.jpg?raw=true 'KBProcess')
 
-# 介绍页
+## 👨‍💻 开发
 
-## 欢迎使用 Doc GPT
+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)
 
-时间比较赶，介绍没来得及完善，先直接上怎么使用：  
+## 🚀 私有化部署
 
-1. 使用邮箱注册账号。  
-2. 进入账号页面，添加关联账号，目前只有 openai 的账号可以添加，直接去 openai 官网，把 API Key 粘贴过来。  
-3. 进入模型页，创建一个模型，建议直接用 ChatGPT。    
-4. 在模型列表点击【对话】，即可使用 API 进行聊天。  
+- [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)
 
-### 模型配置
+## :point_right: RoadMap
 
-1. **提示语**：会在每个对话框的第一句自动加入，用于限定该模型的对话内容。  
+- [FastGpt RoadMap](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte)
 
+## 🏘️ 交流群
 
-2. **单句最大长度**：每个聊天，单次输入内容的最大长度。  
+添加 wx 进入：  
+![Demo](https://otnvvf-imgs.oss.laf.run/wx300.jpg)
 
+## 👀 其他
 
-3. **上下文最大长度**：每个聊天，最多的轮数除以2，建议设置为偶数。可以持续聊天，但是旧的聊天内容会被截断，AI 就不会知道被截取的内容。 
-例如：上下文最大长度为6。在第 4 轮对话时，第一轮对话的内容不会被计入。
+- [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/)
 
-4. **过期时间**：生成对话框后，这个对话框多久过期。  
+## 🌟 Star History
 
-5. **聊天最大加载次数**：单个对话框最多被加载几次，设置为-1代表不限制，正数代表只能加载 n 次，防止被盗刷。  
-
-### 对话框介绍
-
-1. 每个对话框以 windowId 作为标识。  
-2. 每次点击【对话】，都会生成新的对话框，无法回到旧的对话框。对话框内刷新，会恢复对话内容。  
-3. 直接分享对话框（网页）的链接给朋友，会共享同一个对话内容。但是！！！千万不要两个人同时用一个链接，会串味，还没解决这个问题。  
-4. 如果想分享一个纯的对话框，可以把链接里 windowId 参数去掉。例如：  
-
-* 当前网页链接：http://docgpt.ahapocket.cn/chat?chatId=6402c9f64cb5d6283f764&windowId=6402c94cb5d6283f76fb49  
-* 分享链接应为：http://docgpt.ahapocket.cn/chat?chatId=6402c9f64cb5d6283f764  
-
-### 其他问题
-还有其他问题，可以加我 wx，拉个交流群大家一起聊聊。
-![](/imgs/erweima.jpg)
+[![Star History Chart](https://api.star-history.com/svg?repos=c121914yu/FastGPT&type=Date)](https://star-history.com/#c121914yu/FastGPT&Date)

admin/.dockerignore

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

admin/.env.template

@@ -0,0 +1,8 @@
+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

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

admin/Dockerfile

@@ -0,0 +1,48 @@
+# 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

@@ -0,0 +1,201 @@
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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+   See the License for the specific language governing permissions and
+   limitations under the License.

admin/README.md

@@ -0,0 +1,41 @@
+# 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

@@ -0,0 +1,13 @@
+<!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

@@ -0,0 +1,42 @@
+{
+  "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": "^0.2.22"
+  },
+  "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

@@ -0,0 +1,10 @@
+<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

@@ -0,0 +1,21 @@
+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

@@ -0,0 +1,57 @@
+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

@@ -0,0 +1,44 @@
+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

@@ -0,0 +1,134 @@
+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

@@ -0,0 +1,136 @@
+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

@@ -0,0 +1,122 @@
+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

@@ -0,0 +1,105 @@
+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

@@ -0,0 +1,143 @@
+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

@@ -0,0 +1,5 @@
+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

@@ -0,0 +1,50 @@
+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

@@ -0,0 +1,5 @@
+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

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

admin/tsconfig.json

@@ -0,0 +1,21 @@
+{
+  "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

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

admin/vite.config.ts

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

client/.dockerignore

@@ -7,4 +7,5 @@ README.md
 .git
 
 .yalc/
-yalc.lock
+yalc.lock
+testApi/

client/.env.template

@@ -0,0 +1,31 @@
+# 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
+# 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
+# token
+TOKEN_KEY=dfdasfdas
+# root key, 最高权限
+ROOT_KEY=fdafasd
+# openai
+# OPENAI_BASE_URL=http://ai.openai.com/v1
+# OPENAI_BASE_URL_AUTH=可选安全凭证，会放到 header.auth 里
+OPENAIKEY=sk-xxx
+OPENAI_TRAINING_KEY=sk-xxx
+GPT4KEY=sk-xxx
+# 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

client/.eslintrc.json

@@ -0,0 +1,6 @@
+{
+  "extends": "next/core-web-vitals",
+  "rules": {
+    "react-hooks/rules-of-hooks": 0
+  }
+}

client/.gitignore

@@ -0,0 +1,31 @@
+# dependencies
+node_modules/
+# next.js
+.next/
+out/
+# production
+build/
+
+# misc
+.DS_Store
+*.pem
+
+# debug
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+.pnpm-debug.log*
+
+# local env files
+.env*.local
+
+# vercel
+.vercel
+
+# typescript
+*.tsbuildinfo
+next-env.d.ts
+platform.json
+testApi/
+local/
+.husky/

client/Dockerfile

@@ -6,6 +6,7 @@ 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/
 RUN \
   [ -f pnpm-lock.yaml ] && pnpm install || \
   (echo "Lockfile not found." && exit 1)
@@ -52,15 +53,8 @@ COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static
 
 USER nextjs
 
+ENV PORT=3000
+
 EXPOSE 3000
 
-ENV PORT 3000
-ENV MAX_USER ''
-ENV AXIOS_PROXY_HOST ''
-ENV AXIOS_PROXY_PORT ''
-ENV MONGODB_UR ''
-ENV MY_MAIL ''
-ENV MAILE_CODE ''
-ENV TOKEN_KEY ''
-
 CMD ["node", "server.js"]

client/next-env.d.ts

@@ -0,0 +1,5 @@
+/// <reference types="next" />
+/// <reference types="next/image-types/global" />
+
+// NOTE: This file should not be edited
+// see https://nextjs.org/docs/basic-features/typescript for more information.

client/next.config.js

@@ -0,0 +1,25 @@
+/** @type {import('next').NextConfig} */
+
+const nextConfig = {
+  output: 'standalone',
+  reactStrictMode: false,
+  compress: true,
+
+  webpack(config) {
+    config.experiments = {
+      asyncWebAssembly: true,
+      layers: true
+    };
+    config.module.rules = config.module.rules.concat([
+      {
+        test: /\.svg$/i,
+        issuer: /\.[jt]sx?$/,
+        use: ['@svgr/webpack']
+      }
+    ]);
+
+    return config;
+  }
+};
+
+module.exports = nextConfig;

client/package.json

@@ -0,0 +1,84 @@
+{
+  "name": "fastgpt",
+  "version": "3.7",
+  "private": true,
+  "scripts": {
+    "dev": "next dev",
+    "build": "next build",
+    "start": "next start",
+    "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": "^1.0.6",
+    "@emotion/react": "^11.10.6",
+    "@emotion/styled": "^11.10.6",
+    "@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",
+    "dayjs": "^1.11.7",
+    "eventsource-parser": "^0.1.0",
+    "formidable": "^2.1.1",
+    "framer-motion": "^9.0.6",
+    "graphemer": "^1.4.0",
+    "hyperdown": "^2.4.29",
+    "immer": "^9.0.19",
+    "jsonwebtoken": "^9.0.0",
+    "lodash": "^4.17.21",
+    "mammoth": "^1.5.1",
+    "mermaid": "^8.13.5",
+    "mongoose": "^6.10.0",
+    "nanoid": "^4.0.1",
+    "next": "13.1.6",
+    "nextjs-cors": "^2.1.2",
+    "nodemailer": "^6.9.1",
+    "nprogress": "^0.2.0",
+    "openai": "^3.2.1",
+    "papaparse": "^5.4.1",
+    "pg": "^8.10.0",
+    "react": "18.2.0",
+    "react-dom": "18.2.0",
+    "react-hook-form": "^7.43.1",
+    "react-markdown": "^8.0.5",
+    "react-syntax-highlighter": "^15.5.0",
+    "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",
+    "tunnel": "^0.0.6",
+    "wxpay-v3": "^3.0.2",
+    "zustand": "^4.3.5"
+  },
+  "devDependencies": {
+    "@svgr/webpack": "^6.5.1",
+    "@types/cookie": "^0.5.1",
+    "@types/formidable": "^2.0.5",
+    "@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",
+    "@types/react-dom": "18.0.11",
+    "@types/react-syntax-highlighter": "^15.5.6",
+    "@types/request-ip": "^0.0.37",
+    "@types/tunnel": "^0.0.3",
+    "eslint": "8.34.0",
+    "eslint-config-next": "13.1.6",
+    "typescript": "4.9.5"
+  },
+  "engines": {
+    "node": ">=18.0.0"
+  }
+}

client/public/docs/chatProblem.md

@@ -0,0 +1,26 @@
+### 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。
+
+**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 |
+
+**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

@@ -0,0 +1,9 @@
+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

@@ -0,0 +1,33 @@
+## 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

@@ -0,0 +1,3 @@
+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

@@ -0,0 +1,5 @@
+### Fast GPT V3.8.4
+
+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。
+2. 优化 - 知识库搜索速度

client/src/api/chat.ts

@@ -0,0 +1,80 @@
+import { GET, POST, DELETE, PUT } from './request';
+import type { HistoryItemType } 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 { 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}`);
+
+/**
+ * 获取历史记录
+ */
+export const getChatHistory = (data: RequestPaging) =>
+  POST<HistoryItemType[]>('/chat/history/getHistory', data);
+
+/**
+ * 删除一条历史记录
+ */
+export const delChatHistoryById = (id: string) => GET(`/chat/removeHistory?id=${id}`);
+
+/**
+ * get history quotes
+ */
+export const getHistoryQuote = (params: { chatId: string; historyId: string }) =>
+  GET<(QuoteItemType & { _id: string })[]>(`/chat/history/getHistoryQuote`, params);
+
+/**
+ * update history quote status
+ */
+export const updateHistoryQuote = (params: {
+  chatId: string;
+  historyId: string;
+  quoteId: string;
+  sourceText: string;
+}) => GET(`/chat/history/updateHistoryQuote`, params);
+
+/**
+ * 删除一句对话
+ */
+export const delChatRecordByIndex = (chatId: string, contentId: string) =>
+  DELETE(`/chat/delChatRecordByContentId?chatId=${chatId}&contentId=${contentId}`);
+
+/**
+ * 修改历史记录: 标题/置顶
+ */
+export const putChatHistory = (data: UpdateHistoryProps) =>
+  PUT('/chat/history/updateChatHistory', data);
+
+/**
+ * create a shareChat
+ */
+export const createShareChat = (
+  data: ShareChatEditType & {
+    modelId: string;
+  }
+) => POST<string>(`/chat/shareChat/create`, data);
+
+/**
+ * get shareChat
+ */
+export const getShareChatList = (modelId: string) =>
+  GET<ShareChatSchema[]>(`/chat/shareChat/list?modelId=${modelId}`);
+
+/**
+ * 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

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

client/src/api/fetch.ts

@@ -0,0 +1,67 @@
+import { GUIDE_PROMPT_HEADER, NEW_CHATID_HEADER, QUOTE_LEN_HEADER } from '@/constants/chat';
+
+interface StreamFetchProps {
+  url: string;
+  data: any;
+  onMessage: (text: string) => void;
+  abortSignal: AbortController;
+}
+export const streamFetch = ({ url, data, onMessage, abortSignal }: StreamFetchProps) =>
+  new Promise<{
+    responseText: string;
+    newChatId: string;
+    systemPrompt: string;
+    quoteLen: number;
+  }>(async (resolve, reject) => {
+    try {
+      const res = await fetch(url, {
+        method: 'POST',
+        headers: {
+          'Content-Type': 'application/json'
+        },
+        body: JSON.stringify(data),
+        signal: abortSignal.signal
+      });
+      const reader = res.body?.getReader();
+      if (!reader) return;
+
+      const decoder = new TextDecoder();
+
+      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;
+
+      let responseText = '';
+
+      const read = async () => {
+        try {
+          const { done, value } = await reader?.read();
+          if (done) {
+            if (res.status === 200) {
+              resolve({ responseText, newChatId, quoteLen, systemPrompt });
+            } else {
+              const parseError = JSON.parse(responseText);
+              reject(parseError?.message || '请求异常');
+            }
+
+            return;
+          }
+          const text = decoder.decode(value);
+          responseText += text;
+          onMessage(text);
+          read();
+        } catch (err: any) {
+          if (err?.message === 'The user aborted a request.') {
+            return resolve({ responseText, newChatId, quoteLen, systemPrompt });
+          }
+          reject(typeof err === 'string' ? err : err?.message || '请求异常');
+        }
+      };
+      read();
+    } catch (err: any) {
+      console.log(err, '====');
+      reject(typeof err === 'string' ? err : err?.message || '请求异常');
+    }
+  });

client/src/api/model.ts

@@ -0,0 +1,44 @@
+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/openapi.ts

@@ -0,0 +1,16 @@
+import { GET, POST, DELETE } from './request';
+import { UserOpenApiKey } from '@/types/openapi';
+/**
+ * crete a api key
+ */
+export const createAOpenApiKey = () => POST<string>('/openapi/postKey');
+
+/**
+ * get api keys
+ */
+export const getOpenApiKeys = () => GET<UserOpenApiKey[]>('/openapi/getKeys');
+
+/**
+ * delete api by id
+ */
+export const delOpenApiById = (id: string) => DELETE(`/openapi/delKey?id=${id}`);

client/src/api/plugins/kb.ts

@@ -0,0 +1,93 @@
+import { GET, POST, PUT, DELETE } from '../request';
+import type { KbItemType } from '@/types/plugin';
+import { RequestPaging } from '@/types/index';
+import { TrainingModeEnum } from '@/constants/plugin';
+import { type QuoteItemType } from '@/pages/api/openapi/kb/appKbSearch';
+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';
+
+export type KbUpdateParams = {
+  id: string;
+  name: string;
+  tags: string;
+  avatar: string;
+};
+
+/* knowledge base */
+export const getKbList = () => GET<KbItemType[]>(`/plugins/kb/list`);
+
+export const getKbById = (id: string) => GET<KbItemType>(`/plugins/kb/detail?id=${id}`);
+
+export const postCreateKb = (data: { name: string }) => POST<string>(`/plugins/kb/create`, data);
+
+export const putKbById = (data: KbUpdateParams) => PUT(`/plugins/kb/update`, data);
+
+export const delKbById = (id: string) => DELETE(`/plugins/kb/delete?id=${id}`);
+
+/* kb data */
+type GetKbDataListProps = RequestPaging & {
+  kbId: string;
+  searchText: string;
+};
+export const getKbDataList = (data: GetKbDataListProps) =>
+  POST(`/plugins/kb/data/getDataList`, data);
+
+/**
+ * 获取导出数据（不分页）
+ */
+export const getExportDataList = (kbId: string) =>
+  GET<[string, string][]>(
+    `/plugins/kb/data/exportModelData`,
+    { kbId },
+    {
+      timeout: 600000
+    }
+  );
+
+/**
+ * 获取模型正在拆分数据的数量
+ */
+export const getTrainingData = (data: { kbId: string; init: boolean }) =>
+  POST<{
+    qaListLen: number;
+    vectorListLen: number;
+  }>(`/plugins/kb/data/getTrainingData`, data);
+
+export const getKbDataItemById = (dataId: string) =>
+  GET<QuoteItemType>(`/plugins/kb/data/getDataById`, { dataId });
+
+/**
+ * 直接push数据
+ */
+export const postKbDataFromList = (data: PushDataProps) =>
+  POST<PushDateResponse>(`/openapi/kb/pushData`, data);
+
+/**
+ * 更新一条数据
+ */
+export const putKbDataById = (data: { dataId: string; a: string; q?: string }) =>
+  PUT('/openapi/kb/updateData', data);
+/**
+ * 删除一条知识库数据
+ */
+export const delOneKbDataByDataId = (dataId: string) =>
+  DELETE(`/openapi/kb/delDataById?dataId=${dataId}`);
+
+/**
+ * 拆分数据
+ */
+export const postSplitData = (data: {
+  kbId: string;
+  chunks: string[];
+  prompt: string;
+  mode: `${TrainingModeEnum}`;
+}) => POST(`/openapi/text/pushData`, data);
+
+export const searchText = (data: SearchTestProps) =>
+  POST<SearchTestResponse>(`/openapi/kb/searchTest`, data);

client/src/api/request.ts

@@ -1,10 +1,11 @@
 import axios, { Method, InternalAxiosRequestConfig, AxiosResponse } from 'axios';
-import { getToken, clearToken } from '@/utils/user';
-import { TOKEN_ERROR_CODE } from '@/constants/responseCode';
+import { clearCookie } from '@/utils/user';
+import { TOKEN_ERROR_CODE } from '@/service/errorCode';
 
 interface ConfigType {
   headers?: { [key: string]: string };
   hold?: boolean;
+  timeout?: number;
 }
 interface ResponseDataType {
   code: number;
@@ -17,7 +18,7 @@ interface ResponseDataType {
  */
 function requestStart(config: InternalAxiosRequestConfig): InternalAxiosRequestConfig {
   if (config.headers) {
-    config.headers.Authorization = getToken();
+    // config.headers.Authorization = getToken();
   }
 
   return config;
@@ -34,10 +35,10 @@ function responseSuccess(response: AxiosResponse<ResponseDataType>) {
  */
 function checkRes(data: ResponseDataType) {
   if (data === undefined) {
-    console.log(data, 'data is empty');
+    console.log('error->', data, 'data is empty');
     return Promise.reject('服务器异常');
   } else if (data.code < 200 || data.code >= 400) {
-    return Promise.reject(data.message);
+    return Promise.reject(data);
   }
   return data.data;
 }
@@ -46,24 +47,23 @@ function checkRes(data: ResponseDataType) {
  * 响应错误
  */
 function responseError(err: any) {
-  console.error('请求错误', err);
+  console.log('error->', '请求错误', err);
 
   if (!err) {
-    return Promise.reject('未知错误');
+    return Promise.reject({ message: '未知错误' });
   }
   if (typeof err === 'string') {
-    return Promise.reject(err);
+    return Promise.reject({ message: err });
   }
-  if (err.response) {
-    // 有报错响应
-    const res = err.response;
-    /* token过期,判断请求token与本地是否相同，若不同需要重发 */
-    if (res.data.code in TOKEN_ERROR_CODE) {
-      clearToken();
-      return Promise.reject('token过期，重新登录');
-    }
+  // 有报错响应
+  if (err?.code in TOKEN_ERROR_CODE) {
+    clearCookie();
+    window.location.replace(
+      `/login?lastRoute=${encodeURIComponent(location.pathname + location.search)}`
+    );
+    return Promise.reject({ message: 'token过期，重新登录' });
   }
-  return Promise.reject('未知错误');
+  return Promise.reject(err);
 }
 
 /* 创建请求实例 */

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

@@ -0,0 +1,26 @@
+import type { ChatPopulate, ModelSchema } from '@/types/mongoSchema';
+import type { ChatItemType } from '@/types/chat';
+
+export interface InitChatResponse {
+  chatId: string;
+  modelId: string;
+  model: {
+    name: string;
+    avatar: string;
+    intro: string;
+    canUse: boolean;
+  };
+  chatModel: ModelSchema['chat']['chatModel']; // 对话模型名
+  history: ChatItemType[];
+}
+
+export interface InitShareChatResponse {
+  maxContext: number;
+  userAvatar: string;
+  model: {
+    name: string;
+    avatar: string;
+    intro: string;
+  };
+  chatModel: ModelSchema['chat']['chatModel']; // 对话模型名
+}

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

@@ -0,0 +1,6 @@
+import { ModelListItemType } from '@/types/model';
+
+export type ModelListResponse = {
+  myModels: ModelListItemType[];
+  myCollectionModels: ModelListItemType[];
+};

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

@@ -0,0 +1,12 @@
+import type { UserType } from '@/types/user';
+import type { PromotionRecordSchema } from '@/types/mongoSchema';
+export interface ResLogin {
+  user: UserType;
+}
+
+export interface PromotionRecordType {
+  _id: PromotionRecordSchema['_id'];
+  type: PromotionRecordSchema['type'];
+  createTime: PromotionRecordSchema['createTime'];
+  amount: PromotionRecordSchema['amount'];
+}

client/src/api/system.ts

@@ -0,0 +1,7 @@
+import { GET, POST, PUT } from './request';
+import type { ChatModelItemType } from '@/constants/model';
+import type { InitDateResponse } from '@/pages/api/system/getInitData';
+
+export const getInitData = () => GET<InitDateResponse>('/system/getInitData');
+
+export const getSystemModelList = () => GET<ChatModelItemType[]>('/system/getModels');

client/src/api/user.ts

@@ -0,0 +1,89 @@
+import { GET, POST, PUT } from './request';
+import { createHashPassword, Obj2Query } from '@/utils/tools';
+import { ResLogin, PromotionRecordType } from './response/user';
+import { UserAuthTypeEnum } from '@/constants/common';
+import { UserBillType, UserType, UserUpdateParams } from '@/types/user';
+import type { PagingData, RequestPaging } from '@/types';
+import { informSchema, PaySchema } from '@/types/mongoSchema';
+
+export const sendAuthCode = (data: {
+  username: string;
+  type: `${UserAuthTypeEnum}`;
+  googleToken: string;
+}) => POST('/user/sendAuthCode', data);
+
+export const getTokenLogin = () => GET<UserType>('/user/tokenLogin');
+
+/* get promotion init data */
+export const getPromotionInitData = () =>
+  GET<{
+    invitedAmount: number;
+    historyAmount: number;
+    residueAmount: number;
+  }>('/user/promotion/getPromotionData');
+
+export const postRegister = ({
+  username,
+  password,
+  code,
+  inviterId
+}: {
+  username: string;
+  code: string;
+  password: string;
+  inviterId: string;
+}) =>
+  POST<ResLogin>('/user/register', {
+    username,
+    code,
+    inviterId,
+    password: createHashPassword(password)
+  });
+
+export const postFindPassword = ({
+  username,
+  code,
+  password
+}: {
+  username: string;
+  code: string;
+  password: string;
+}) =>
+  POST<ResLogin>('/user/updatePasswordByCode', {
+    username,
+    code,
+    password: createHashPassword(password)
+  });
+
+export const postLogin = ({ username, password }: { username: string; password: string }) =>
+  POST<ResLogin>('/user/loginByPassword', {
+    username,
+    password: createHashPassword(password)
+  });
+
+export const loginOut = () => GET('/user/loginout');
+
+export const putUserInfo = (data: UserUpdateParams) => PUT('/user/update', data);
+
+export const getUserBills = (data: RequestPaging) =>
+  GET<PagingData<UserBillType>>(`/user/getBill?${Obj2Query(data)}`);
+
+export const getPayOrders = () => GET<PaySchema[]>(`/user/getPayOrders`);
+
+export const getPayCode = (amount: number) =>
+  GET<{
+    codeUrl: string;
+    payId: string;
+  }>(`/user/getPayCode?amount=${amount}`);
+
+export const checkPayResult = (payId: string) => GET<number>(`/user/checkPayResult?payId=${payId}`);
+
+/* promotion records */
+export const getPromotionRecords = (data: RequestPaging) =>
+  GET<PromotionRecordType>(`/user/promotion/getPromotions?${Obj2Query(data)}`);
+
+export const getInforms = (data: RequestPaging) =>
+  POST<PagingData<informSchema>>(`/user/inform/list`, data);
+
+export const getUnreadCount = () => GET<number>(`/user/inform/countUnread`);
+export const readInform = (id: string) => GET(`/user/inform/read`, { id });

client/src/components/Avatar/index.tsx

@@ -0,0 +1,21 @@
+import React from 'react';
+import { Image } from '@chakra-ui/react';
+import type { ImageProps } from '@chakra-ui/react';
+import { LOGO_ICON } from '@/constants/chat';
+
+const Avatar = ({ w = '30px', ...props }: ImageProps) => {
+  return (
+    <Image
+      fallbackSrc={LOGO_ICON}
+      borderRadius={'50%'}
+      objectFit={'cover'}
+      alt=""
+      w={w}
+      h={w}
+      p={'1px'}
+      {...props}
+    />
+  );
+};
+
+export default Avatar;

client/src/components/Badge/index.tsx

@@ -0,0 +1,42 @@
+import React from 'react';
+import { Box } from '@chakra-ui/react';
+
+const Badge = ({
+  children,
+  isDot = false,
+  max = 99,
+  count = 0
+}: {
+  children: React.ReactNode;
+  isDot?: boolean;
+  max?: number;
+  count?: number;
+}) => {
+  return (
+    <Box position={'relative'}>
+      {children}
+      {count > 0 && (
+        <Box position={'absolute'} right={0} top={0} transform={'translate(70%,-50%)'}>
+          {isDot ? (
+            <Box w={'5px'} h={'5px'} bg={'myRead.600'} borderRadius={'20px'}></Box>
+          ) : (
+            <Box
+              color={'white'}
+              bg={'myRead.600'}
+              lineHeight={0.9}
+              borderRadius={'100px'}
+              px={'4px'}
+              py={'2px'}
+              fontSize={'12px'}
+              border={'1px solid white'}
+            >
+              {count > max ? `${max}+` : count}
+            </Box>
+          )}
+        </Box>
+      )}
+    </Box>
+  );
+};
+
+export default Badge;

client/src/components/Icon/icons/appStore.svg

@@ -0,0 +1 @@
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client/src/components/Icon/icons/back.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="1683436459815" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="1278" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M377.04830749 512.02677874l395.88826112-382.68981248c23.33363769-22.59430969 23.33363769-59.16132466 0-81.68344804-23.33247261-22.5582171-61.18836224-22.5582171-84.52083485 0L250.30081877 471.19378659c-23.29754397 22.5582171-23.29754397 59.14385977 0 81.63105451l438.11491385 423.52280349c11.70233003 11.27968995 26.99767353 16.91837099 42.29534607 16.91837098 15.29883648 0 30.59418112-5.63984498 42.22548878-16.95446471 23.33363769-22.5582171 23.33363769-59.07283854 0-81.63105451L377.04830749 512.02677874" p-id="1279"></path></svg>

client/src/components/Icon/icons/chat.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="1683254586102" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="940" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M512 34.13333333c263.91893333 0 477.86666667 213.94773333 477.86666667 477.86666667S775.91893333 989.86666667 512 989.86666667H79.6448A45.51146667 45.51146667 0 0 1 34.13333333 944.3552V512C34.13333333 248.08106667 248.08106667 34.13333333 512 34.13333333zM307.2 580.26666667a22.7552 22.7552 0 0 0-22.7552 22.7552V648.53333333A22.7552 22.7552 0 0 0 307.2 671.28853333h227.5552A22.7552 22.7552 0 0 0 557.51146667 648.53333333v-45.51146666A22.7552 22.7552 0 0 0 534.7552 580.26666667H307.2z m0-182.0448a22.7552 22.7552 0 0 0-22.7552 22.75626666v45.5104A22.7552 22.7552 0 0 0 307.2 489.2448h409.6a22.7552 22.7552 0 0 0 22.7552-22.75626667v-45.5104A22.7552 22.7552 0 0 0 716.8 398.22186667H307.2z" p-id="941"></path></svg>

client/src/components/Icon/icons/chatSend.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="1679805359001" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="1328" xmlns:xlink="http://www.w3.org/1999/xlink" width="48" height="48"><path d="M416.583186 1022.194004c-5.417989 0-10.835979-1.203998-16.253968-3.611993-15.049971-6.621987-24.681952-21.069959-24.681952-37.323927l0-299.795414c0-12.641975 5.417989-24.079953 15.651969-31.905938 9.631981-7.825985 22.273956-10.23398 34.915932-7.825985l417.787184 99.931805 84.279835-599.590829c1.203998-9.631981-8.427984-16.253968-16.855967-11.437978L147.489712 573.102881l139.061728 35.517931c19.865961 4.815991 34.313933 22.875955 32.507937 43.343915-2.407995 25.885949-26.487948 42.139918-50.567901 36.119929L30.70194 627.282775c-16.253968-4.213992-27.691946-17.457966-30.099941-33.711934-2.407995-16.253968 5.417989-32.507937 19.865961-40.93592L962.59612 6.621987c13.243974-7.825985 30.099941-7.223986 43.343915 1.203998 12.641975 8.427984 19.865961 24.079953 17.457966 39.129924l-105.349794 750.090535c-1.805996 11.437978-7.825985 21.671958-17.457966 28.293945-9.631981 6.621987-21.069959 8.427984-32.507937 6.019988l-411.165197-98.125808 0 154.111699 81.87184-76.453851c15.049971-13.845973 37.925926-16.855967 54.179894-4.213992 20.46796 15.651969 21.069959 45.149912 3.009994 62.005879L444.275132 1011.358025C436.449148 1018.582011 426.817166 1022.194004 416.583186 1022.194004L416.583186 1022.194004z" p-id="1329"></path><path d="M416.583186 722.398589c-9.631981 0-19.263962-3.611993-27.089947-10.23398-16.855967-15.049971-18.059965-40.93592-3.009994-57.791887l216.117578-242.003527c15.049971-16.855967 40.93592-18.059965 57.791887-3.009994 16.855967 15.049971 18.059965 40.93592 3.009994 57.791887l-216.117578 242.003527C438.857143 718.184597 427.419165 722.398589 416.583186 722.398589L416.583186 722.398589z" p-id="1330"></path></svg>

client/src/components/Icon/icons/closeSolid.svg

@@ -0,0 +1 @@
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client/src/components/Icon/icons/collectionLight.svg

@@ -0,0 +1 @@
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client/src/components/Icon/icons/collectionSolid.svg

@@ -0,0 +1 @@
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client/src/components/Icon/icons/copy.svg

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client/src/components/Icon/icons/delete.svg

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client/src/components/Icon/icons/develop.svg

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client/src/components/Icon/icons/edit.svg

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client/src/components/Icon/icons/empty.svg

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+<svg  viewBox="0 0 80 80" fill="none" xmlns="http://www.w3.org/2000/svg">
+<circle cx="40" cy="40" r="39.5" stroke="#9CA2A8" stroke-dasharray="4 4"/>
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client/src/components/Icon/icons/export.svg

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client/src/components/Icon/icons/git.svg

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client/src/components/Icon/icons/history.svg

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client/src/components/Icon/icons/inform.svg

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client/src/components/Icon/icons/kb.svg

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client/src/components/Icon/icons/kbTest.svg

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client/src/components/Icon/icons/menu.svg

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client/src/components/Icon/icons/model.svg

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client/src/components/Icon/icons/more.svg

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client/src/components/Icon/icons/out.svg

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client/src/components/Icon/icons/phoneTabbar/chat.svg

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client/src/components/Icon/icons/phoneTabbar/me.svg

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