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Author SHA1 Message Date
archer
a290369fc6 fix: tiktoken memory 2023-06-02 13:10:34 +08:00
333 changed files with 13844 additions and 23862 deletions

33
.env.template Normal file
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@@ -0,0 +1,33 @@
# proxy
# AXIOS_PROXY_HOST=127.0.0.1
# AXIOS_PROXY_PORT=7890
# email
MY_MAIL=xxx@qq.com
MAILE_CODE=xxx
# ali ems
aliAccessKeyId=xxx
aliAccessKeySecret=xxx
aliSignName=xxx
aliTemplateCode=SMS_xxx
# token
TOKEN_KEY=xxx
# root key, 最高权限
ROOT_KEY=xxx
# 是否进行安全校验(1: 开启0: 关闭)
SENSITIVE_CHECK=1
# openai
# OPENAI_BASE_URL=https://api.openai.com/v1
# OPENAI_BASE_URL_AUTH=可选的安全凭证(不需要的时候,记得去掉)
OPENAIKEY=sk-xxx # 对话用的key
OPENAI_TRAINING_KEY=sk-xxx # 训练用的key
GPT4KEY=sk-xxx
# claude
CLAUDE_BASE_URL=calude模型请求地址
CLAUDE_KEY=CLAUDE_KEY
# db
MONGODB_URI=mongodb://username:password@0.0.0.0:27017/test?authSource=admin
PG_HOST=0.0.0.0
PG_PORT=8100
PG_USER=xxx
PG_PASSWORD=xxx
PG_DB_NAME=xxx

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@@ -1,77 +0,0 @@
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}}

50
.github/workflows/release.yml vendored Normal file
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@@ -0,0 +1,50 @@
name: Release
on:
workflow_dispatch:
push:
branches:
- 'main'
jobs:
release:
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
- # Add support for more platforms with QEMU (optional)
# https://github.com/docker/setup-qemu-action
name: Set up QEMU
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 gitbub
uses: docker/login-action@v2
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GH_PAT }}
- name: build and publish image
env:
# fork friendly ^^
DOCKER_REPO: ghcr.io/${{ github.repository_owner }}/fastgpt
run: |
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}:latest \
-f Dockerfile \
.

22
.gitignore vendored
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@@ -1,10 +1,19 @@
# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
# dependencies
node_modules/
/node_modules
/.pnp
.pnp.js
# testing
/coverage
# next.js
.next/
out/
/.next/
/out/
# production
build/
/build
# misc
.DS_Store
@@ -25,7 +34,6 @@ yarn-error.log*
# typescript
*.tsbuildinfo
next-env.d.ts
/.vscode/
platform.json
testApi/
local/
dist/
testApi/

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@@ -1,6 +0,0 @@
{
"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"
}

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@@ -6,7 +6,6 @@ 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)

47
Makefile Normal file
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@@ -0,0 +1,47 @@
SERVICE_NAME=fastgpt
# 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 registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:latest . --network host --build-arg HTTP_PROXY=http://127.0.0.1:7890 --build-arg HTTPS_PROXY=http://127.0.0.1:7890
##@ Deployment
.PHONY: docker-run
docker-run: ## Push docker image.
docker run -d -p 8008:3000 --name fastgpt -v /web_project/yjl/fastgpt/logs:/app/.next/logs registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:latest
#TODO: add support of docker push
#TODO: add support of sealos apply

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@@ -1,11 +1,11 @@
# Fast GPT
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。
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 和 embedding. 可构建自己的知识库。
## 🛸 在线体验
🎉 [fastgpt.run](https://fastgpt.run/)
🎉 [ai.fastgpt.run](https://ai.fastgpt.run/)
🎉 [fastgpt.run](https://fastgpt.run/) (国内版)
🎉 [ai.fastgpt.run](https://ai.fastgpt.run/) (海外版)
![Demo](docs/imgs/demo.png?raw=true 'demo')
@@ -21,8 +21,7 @@ Fast GPT 允许你使用自己的 openai API KEY 来快速的调用 openai 接
## 🚀 私有化部署
- [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)
- [docker-compose 部署教程](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)
## :point_right: RoadMap
@@ -37,8 +36,8 @@ Fast GPT 允许你使用自己的 openai API KEY 来快速的调用 openai 接
## 👀 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 + Laf 最佳实践,将知识库装入公众号,点击去 Laf 公众号体验效果](https://b4jky7-fastgpt.oss.laf.run/lafercode.png)
- [FastGpt V3.4 更新集合](https://www.bilibili.com/video/BV1Lo4y147Qh/?vd_source=92041a1a395f852f9d89158eaa3f61b4)
- [FastGpt 知识库演示](https://www.bilibili.com/video/BV1Wo4y1p7i1/)

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

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@@ -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

1
admin/.gitignore vendored
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@@ -1 +0,0 @@
node_modules/

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@@ -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"]

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@@ -1,201 +0,0 @@
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View File

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

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

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@@ -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": "^0.2.23"
},
"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"
}
}

5659
admin/pnpm-lock.yaml generated

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@@ -1,10 +0,0 @@
<svg width="512" height="512" viewBox="0 0 512 512" fill="none" xmlns="http://www.w3.org/2000/svg">
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<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">
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</defs>
</svg>

Before

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@@ -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}`);
});

View File

@@ -1,86 +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,
model: model.chat?.chatModel,
relatedKbs: kbNames, // 将relatedKbs的id转换为相应的Kb名称
searchMode: model.chat?.searchMode,
systemPrompt: model.chat?.systemPrompt || '',
'share.topNum': model.share?.topNum || 0,
'share.isShare': model.share?.isShare || false,
'share.intro': model.share?.intro,
'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, intro, topNum }
} = req.body;
await Model.findByIdAndUpdate(_id, {
$set: {
'share.topNum': Number(topNum),
'share.isShare': isShare === 'true',
'share.intro': intro
}
});
res.json({});
} catch (err) {
console.log(`Error updating user: ${err}`);
res.status(500).json({ error: 'Error updating user' });
}
});
};

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@@ -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 });
}
});
};

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@@ -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));
}
};
};

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@@ -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 });
}
});
};

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@@ -1,123 +0,0 @@
import mongoose from 'mongoose';
import dotenv from 'dotenv';
dotenv.config({ path: '.env.local' });
const mongoUrl = process.env.MONGODB_URI;
const mongoDBName = process.env.MONGODB_NAME;
if (!mongoUrl || !mongoDBName) {
throw new Error('db error');
}
mongoose
.connect(mongoUrl, {
dbName: mongoDBName,
bufferCommands: true,
maxPoolSize: 5,
minPoolSize: 1,
maxConnecting: 5
})
.then(() => console.log('Connected to MongoDB successfully!'))
.catch((err) => console.log(`Error connecting to MongoDB: ${err}`));
const userSchema = new mongoose.Schema({
_id: mongoose.Schema.Types.ObjectId,
username: String,
password: String,
balance: Number,
promotion: {
rate: Number
},
openaiKey: String,
avatar: String,
createTime: Date
});
// 新增: 定义 pays 模型
const paySchema = new mongoose.Schema({
_id: mongoose.Schema.Types.ObjectId,
userId: mongoose.Schema.Types.ObjectId,
price: Number,
orderId: String,
status: String,
createTime: Date,
__v: Number
});
// 新增: 定义 kb 模型
const kbSchema = new mongoose.Schema({
_id: mongoose.Schema.Types.ObjectId,
userId: mongoose.Schema.Types.ObjectId,
avatar: String,
name: String,
tags: [String],
updateTime: Date,
__v: Number
});
const modelSchema = new mongoose.Schema({
userId: mongoose.Schema.Types.ObjectId,
name: String,
avatar: String,
status: String,
chat: {
relatedKbs: [mongoose.Schema.Types.ObjectId],
searchMode: String,
systemPrompt: String,
temperature: Number,
chatModel: String
},
share: {
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({
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);

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@@ -1,126 +0,0 @@
import {
createTextField,
jsonServerProvider,
ListTable,
Resource,
Tushan,
fetchJSON
} from 'tushan';
import { authProvider } from './auth';
import { userFields, payFields, kbFields, ModelFields, SystemFields } from './fields';
import { Dashboard } from './Dashboard';
import { IconUser, IconApps, IconBook, IconStamp } from 'tushan/icon';
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"
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;

View File

@@ -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>
);
};

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

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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', list: { hidden: true } }),
createTextField('name', { label: '名字' }),
createTextField('model', { label: '模型' }),
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('share.intro', { label: '介绍', list: { width: 400 } }),
createTextField('relatedKbs', { label: '引用的知识库', list: { hidden: true } }),
createTextField('systemPrompt', {
label: '提示词',
list: {
width: 400,
hidden: true
}
})
];
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)' })
];

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

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/// <reference types="vite/client" />

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{
"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" }]
}

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{
"compilerOptions": {
"composite": true,
"module": "ESNext",
"moduleResolution": "Node",
"allowSyntheticDefaultImports": true
},
"include": ["vite.config.ts"]
}

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

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# 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

31
client/.gitignore vendored
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# 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/

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/// <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.

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@@ -1,83 +0,0 @@
{
"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": "^2.5.1",
"@chakra-ui/system": "^2.5.5",
"@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-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"
}
}

12374
client/pnpm-lock.yaml generated

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### 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)
**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 | 0.022 |
| chatgpt16K - 对话 | 0.025 |
| gpt4 - 对话 | 0.5 |
| 文件拆分 | 0.025 |
**其他问题**
| 交流群 | 小助手 |
| ----------------------- | -------------------- |
| ![](https://otnvvf-imgs.oss.laf.run/wxqun300.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) |

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### 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

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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');
}
});

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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;

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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="1686557165145" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2404" xmlns:xlink="http://www.w3.org/1999/xlink" ><path d="M815.104 69.632q27.648 25.6 44.032 42.496t25.088 28.672 10.752 19.968 2.048 14.336l0 16.384-151.552 0q-10.24 0-17.92-7.68t-12.8-17.92-7.68-20.992-2.56-16.896l0-126.976 3.072 0q8.192 0 16.896 2.56t19.968 9.728 28.16 20.48 42.496 35.84zM640 129.024q0 20.48 6.144 42.496t19.456 40.96 33.792 31.232 48.128 12.288l149.504 0 0 577.536q0 29.696-11.776 53.248t-31.232 39.936-43.008 25.6-46.08 9.216l-503.808 0q-19.456 0-42.496-11.264t-43.008-29.696-33.28-41.984-13.312-49.152l0-696.32q0-21.504 9.728-44.544t26.624-42.496 38.4-32.256 45.056-12.8l391.168 0 0 128zM704.512 768q26.624 0 45.056-18.944t18.432-45.568-18.432-45.056-45.056-18.432l-384 0q-26.624 0-45.056 18.432t-18.432 45.056 18.432 45.568 45.056 18.944l384 0zM768 448.512q0-26.624-18.432-45.568t-45.056-18.944l-384 0q-26.624 0-45.056 18.944t-18.432 45.568 18.432 45.056 45.056 18.432l384 0q26.624 0 45.056-18.432t18.432-45.056z" p-id="2405" ></path></svg>

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import React, { memo } from 'react';
import { Box } from '@chakra-ui/react';
const Loading = () => {
return (
<Box
minW={'100px'}
w={'100%'}
h={'80px'}
backgroundImage={'url("/imgs/loading.gif")'}
backgroundSize={'contain'}
backgroundRepeat={'no-repeat'}
backgroundPosition={'center'}
/>
);
};
export default memo(Loading);

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@@ -1,127 +0,0 @@
import React, { useEffect, useRef, memo, useCallback, useState } from 'react';
import { Box } from '@chakra-ui/react';
// @ts-ignore
import mermaid from 'mermaid';
import MyIcon from '../Icon';
import styles from './index.module.scss';
const mermaidAPI = mermaid.mermaidAPI;
mermaidAPI.initialize({
startOnLoad: false,
theme: 'base',
themeVariables: {
fontSize: '14px',
primaryColor: '#d6e8ff',
primaryTextColor: '#485058',
primaryBorderColor: '#fff',
lineColor: '#5A646E',
secondaryColor: '#B5E9E5',
tertiaryColor: '#485058'
}
});
const MermaidBlock = ({ code }: { code: string }) => {
const dom = useRef<HTMLDivElement>(null);
const [svg, setSvg] = useState('');
const [errorSvgCode, setErrorSvgCode] = useState('');
useEffect(() => {
(async () => {
const punctuationMap: Record<string, string> = {
'': ',',
'': ';',
'。': '.',
'': ':',
'': '!',
'': '?',
'“': '"',
'”': '"',
'': "'",
'': "'",
'【': '[',
'】': ']',
'': '(',
'': ')',
'《': '<',
'》': '>',
'、': ','
};
const formatCode = code.replace(
/([,;。:!?“”‘’【】()《》、])/g,
(match) => punctuationMap[match]
);
try {
const svgCode = await mermaidAPI.render(`mermaid-${Date.now()}`, formatCode);
setSvg(svgCode);
} catch (error) {
setErrorSvgCode(formatCode);
console.log(error);
}
})();
}, [code]);
const onclickExport = useCallback(() => {
const svg = dom.current?.children[0];
if (!svg) return;
const w = svg.clientWidth * 4;
const h = svg.clientHeight * 4;
const canvas = document.createElement('canvas');
canvas.width = w;
canvas.height = h;
const ctx = canvas.getContext('2d');
if (!ctx) return;
// 绘制白色背景
ctx.fillStyle = '#fff';
ctx.fillRect(0, 0, w, h);
const img = new Image();
img.src = `data:image/svg+xml;charset=utf-8,${encodeURIComponent(dom.current.innerHTML)}`;
img.onload = () => {
ctx.drawImage(img, 0, 0, w, h);
const jpgDataUrl = canvas.toDataURL('image/jpeg', 1);
const a = document.createElement('a');
a.href = jpgDataUrl;
a.download = 'mermaid.jpg';
document.body.appendChild(a);
a.click();
document.body.removeChild(a);
};
img.onerror = (e) => {
console.log(e);
};
}, []);
return (
<Box position={'relative'}>
<Box
ref={dom}
as={'p'}
className={styles.mermaid}
minW={'100px'}
minH={'50px'}
py={4}
dangerouslySetInnerHTML={{ __html: svg }}
/>
<MyIcon
name={'export'}
w={'20px'}
position={'absolute'}
color={'myGray.600'}
_hover={{
color: 'myBlue.700'
}}
right={0}
top={0}
cursor={'pointer'}
onClick={onclickExport}
/>
</Box>
);
};
export default memo(MermaidBlock);

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import React, { memo, useMemo } from 'react';
import ReactMarkdown from 'react-markdown';
import { formatLinkText } from '@/utils/tools';
import remarkGfm from 'remark-gfm';
import remarkMath from 'remark-math';
import rehypeKatex from 'rehype-katex';
import 'katex/dist/katex.min.css';
import styles from './index.module.scss';
import CodeLight from './codeLight';
import Loading from './Loading';
import MermaidCodeBlock from './MermaidCodeBlock';
const Markdown = ({
source,
isChatting = false,
formatLink
}: {
source: string;
formatLink?: boolean;
isChatting?: boolean;
}) => {
const formatSource = useMemo(() => {
return formatLink ? formatLinkText(source) : source;
}, [source, formatLink]);
return (
<ReactMarkdown
className={`markdown ${styles.markdown}
${isChatting ? (source === '' ? styles.waitingAnimation : styles.animation) : ''}
`}
remarkPlugins={[remarkGfm, remarkMath]}
rehypePlugins={[rehypeKatex]}
components={{
pre: 'div',
code({ node, inline, className, children, ...props }) {
const match = /language-(\w+)/.exec(className || '');
if (match?.[1] === 'mermaid') {
return isChatting ? <Loading /> : <MermaidCodeBlock code={String(children)} />;
}
return (
<CodeLight className={className} inline={inline} match={match} {...props}>
{children}
</CodeLight>
);
}
}}
linkTarget="_blank"
>
{formatSource}
</ReactMarkdown>
);
};
export default memo(Markdown);

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import React, { useMemo } from 'react';
import { Box, Grid, useTheme } from '@chakra-ui/react';
import type { GridProps } from '@chakra-ui/react';
// @ts-ignore
interface Props extends GridProps {
list: { id: string; label: string }[];
activeId: string;
size?: 'sm' | 'md' | 'lg';
onChange: (id: string) => void;
}
const Tabs = ({ list, size = 'md', activeId, onChange, ...props }: Props) => {
const theme = useTheme();
const sizeMap = useMemo(() => {
switch (size) {
case 'sm':
return {
fontSize: 'sm',
outP: '3px',
inlineP: 1
};
case 'md':
return {
fontSize: 'md',
outP: '4px',
inlineP: 2
};
case 'lg':
return {
fontSize: 'lg',
outP: '5px',
inlineP: 3
};
}
}, [size]);
return (
<Grid
gridTemplateColumns={`repeat(${list.length},1fr)`}
p={sizeMap.outP}
borderRadius={'sm'}
fontSize={sizeMap.fontSize}
{...props}
>
{list.map((item) => (
<Box
key={item.id}
py={sizeMap.inlineP}
borderRadius={'sm'}
textAlign={'center'}
{...(activeId === item.id
? {
boxShadow: '0px 2px 2px rgba(137, 156, 171, 0.25)',
backgroundImage: theme.lgColor.primary2,
color: 'white',
cursor: 'default'
}
: {
cursor: 'pointer'
})}
onClick={() => {
if (activeId === item.id) return;
onChange(item.id);
}}
>
{item.label}
</Box>
))}
</Grid>
);
};
export default Tabs;

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import React, { useMemo } from 'react';
import { Box, type BoxProps } from '@chakra-ui/react';
interface Props extends BoxProps {
children: string;
colorSchema?: 'blue' | 'green' | 'gray';
}
const Tag = ({ children, colorSchema = 'blue', ...props }: Props) => {
const theme = useMemo(() => {
const map = {
blue: {
borderColor: 'myBlue.700',
bg: '#F2FBFF',
color: 'myBlue.700'
},
green: {
borderColor: '#52C41A',
bg: '#EDFFED',
color: '#52C41A'
},
gray: {
borderColor: '#979797',
bg: '#F7F7F7',
color: '#979797'
}
};
return map[colorSchema];
}, [colorSchema]);
return (
<Box
display={'inline-block'}
border={'1px solid'}
px={2}
lineHeight={1}
py={'2px'}
borderRadius={'md'}
fontSize={'xs'}
{...theme}
{...props}
>
{children}
</Box>
);
};
export default Tag;

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@@ -1,24 +0,0 @@
export const NEW_CHATID_HEADER = 'response-new-chat-id';
export const QUOTE_LEN_HEADER = 'response-quote-len';
export const GUIDE_PROMPT_HEADER = 'response-guide-prompt';
export enum ChatRoleEnum {
System = 'System',
Human = 'Human',
AI = 'AI'
}
export const ChatRoleMap = {
[ChatRoleEnum.System]: {
name: '系统提示词'
},
[ChatRoleEnum.Human]: {
name: '用户'
},
[ChatRoleEnum.AI]: {
name: 'AI'
}
};
export const HUMAN_ICON = `https://fastgpt.run/icon/human.png`;
export const LOGO_ICON = `https://fastgpt.run/imgs/modelAvatar.png`;

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function Error() {
return (
<p>
safari chrome
</p>
);
}
export default Error;

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import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { authUser } from '@/service/utils/auth';
import { PgClient } from '@/service/pg';
import { withNextCors } from '@/service/utils/tools';
import { openaiEmbedding } from '../plugin/openaiEmbedding';
import type { KbTestItemType } from '@/types/plugin';
export type Props = {
kbId: string;
text: string;
};
export type Response = KbTestItemType['results'];
export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
try {
const { kbId, text } = req.body as Props;
if (!kbId || !text) {
throw new Error('缺少参数');
}
// 凭证校验
const { userId } = await authUser({ req });
if (!userId) {
throw new Error('缺少用户ID');
}
const vector = await openaiEmbedding({
userId,
input: [text],
type: 'training'
});
const response: any = await PgClient.query(
`BEGIN;
SET LOCAL ivfflat.probes = ${global.systemEnv.pgIvfflatProbe || 10};
select id,q,a,source,(vector <#> '[${
vector[0]
}]') * -1 AS score from modelData where kb_id='${kbId}' AND user_id='${userId}' order by vector <#> '[${
vector[0]
}]' limit 12;
COMMIT;`
);
jsonRes<Response>(res, { data: response?.[2]?.rows || [] });
} catch (err) {
console.log(err);
jsonRes(res, {
code: 500,
error: err
});
}
});

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@@ -1,55 +0,0 @@
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { authUser, getSystemOpenAiKey } from '@/service/utils/auth';
import axios from 'axios';
import { axiosConfig } from '@/service/utils/tools';
export type Props = {
input: string;
};
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
await authUser({ req });
const result = await sensitiveCheck(req.body);
jsonRes(res, {
data: result,
message: result
});
} catch (err) {
jsonRes(res, {
code: 500,
error: err
});
}
}
export async function sensitiveCheck({ input }: Props) {
if (!global.systemEnv.sensitiveCheck) {
return Promise.resolve('');
}
const response = await axios({
...axiosConfig(getSystemOpenAiKey('chat')),
method: 'POST',
url: `/moderations`,
data: {
input
}
});
const data = (response.data.results?.[0]?.category_scores as Record<string, number>) || {};
const values = Object.values(data);
for (const val of values) {
if (val > 0.2) {
return Promise.reject('您的内容不合规');
}
}
return '';
}

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@@ -1,25 +0,0 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { connectToDatabase, Image } from '@/service/mongo';
// get the models available to the system
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
await connectToDatabase();
const { id } = req.query;
const data = await Image.findById(id);
if (!data) {
throw new Error('no image');
}
res.setHeader('Content-Type', 'image/jpeg');
res.send(data.binary);
} catch (error) {
jsonRes(res, {
code: 500,
error
});
}
}

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@@ -1,32 +0,0 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { System } from '@/service/models/system';
import { authUser } from '@/service/utils/auth';
export type InitDateResponse = {
beianText: string;
googleVerKey: string;
};
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
await authUser({ req, authRoot: true });
updateSystemEnv();
jsonRes<InitDateResponse>(res);
}
export async function updateSystemEnv() {
try {
const mongoData = await System.findOne();
if (mongoData) {
const obj = mongoData.toObject();
global.systemEnv = {
...global.systemEnv,
...obj
};
}
console.log('update env', global.systemEnv);
} catch (error) {
console.log('update system env error');
}
}

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@@ -1,37 +0,0 @@
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { connectToDatabase, Image } from '@/service/mongo';
import { authUser } from '@/service/utils/auth';
type Props = { base64Img: string };
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
await connectToDatabase();
const { userId } = await authUser({ req, authToken: true });
const { base64Img } = req.body as Props;
const data = await uploadImg({
userId,
base64Img
});
jsonRes(res, { data });
} catch (error) {
jsonRes(res, {
code: 500,
error
});
}
}
export async function uploadImg({ base64Img, userId }: Props & { userId: string }) {
const base64Data = base64Img.split(',')[1];
const { _id } = await Image.create({
userId,
binary: Buffer.from(base64Data, 'base64')
});
return `/api/system/img/${_id}`;
}

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@@ -1,31 +0,0 @@
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { connectToDatabase, Inform } from '@/service/mongo';
import { authUser } from '@/service/utils/auth';
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
if (!req.headers.cookie) {
return jsonRes(res, {
data: 0
});
}
const { userId } = await authUser({ req, authToken: true });
await connectToDatabase();
const data = await Inform.countDocuments({
userId,
read: false
});
jsonRes(res, {
data
});
} catch (err) {
jsonRes(res, {
data: 0
});
}
}

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@@ -1,40 +0,0 @@
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { connectToDatabase, Inform } from '@/service/mongo';
import { authUser } from '@/service/utils/auth';
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
const { userId } = await authUser({ req, authToken: true });
const { pageNum, pageSize = 10 } = req.body as {
pageNum: number;
pageSize: number;
};
await connectToDatabase();
const [informs, total] = await Promise.all([
Inform.find({ userId })
.sort({ time: -1 }) // 按照创建时间倒序排列
.skip((pageNum - 1) * pageSize)
.limit(pageSize),
Inform.countDocuments({ userId })
]);
jsonRes(res, {
data: {
pageNum,
pageSize,
data: informs,
total
}
});
} catch (err) {
jsonRes(res, {
code: 500,
error: err
});
}
}

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@@ -1,29 +0,0 @@
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { connectToDatabase, Inform } from '@/service/mongo';
import { authUser } from '@/service/utils/auth';
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
const { userId } = await authUser({ req, authToken: true });
await connectToDatabase();
const { id } = req.query as { id: string };
await Inform.findOneAndUpdate(
{
_id: id,
userId
},
{
read: true
}
);
jsonRes(res);
} catch (err) {
jsonRes(res);
}
}

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@@ -1,75 +0,0 @@
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { connectToDatabase, Inform, User } from '@/service/mongo';
import { authUser } from '@/service/utils/auth';
import { InformTypeEnum } from '@/constants/user';
export type Props = {
type: `${InformTypeEnum}`;
title: string;
content: string;
userId?: string;
};
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
try {
await authUser({ req, authRoot: true });
await connectToDatabase();
jsonRes(res, {
data: await sendInform(req.body),
message: '发送通知成功'
});
} catch (err) {
jsonRes(res, {
code: 500,
error: err
});
}
}
export async function sendInform({ type, title, content, userId }: Props) {
if (!type || !title || !content) {
return;
}
try {
if (userId) {
// skip it if have same inform within 5 minutes
const inform = await Inform.findOne({
type,
title,
content,
userId,
read: false,
time: { $lte: new Date(Date.now() + 5 * 60 * 1000) }
});
if (inform) return;
await Inform.create({
type,
title,
content,
userId
});
return;
}
// send to all user
const users = await User.find({}, '_id');
await Inform.insertMany(
users.map(({ _id }) => ({
type,
title,
content,
userId: _id
}))
);
} catch (error) {
console.log('send inform error', error);
}
}

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@@ -1,215 +0,0 @@
import React, { useMemo, useState } from 'react';
import { AddIcon, ChatIcon } from '@chakra-ui/icons';
import {
Box,
Button,
Flex,
Divider,
useDisclosure,
useColorMode,
useColorModeValue
} from '@chakra-ui/react';
import { useUserStore } from '@/store/user';
import { useQuery } from '@tanstack/react-query';
import { useRouter } from 'next/router';
import MyIcon from '@/components/Icon';
import WxConcat from '@/components/WxConcat';
import { delChatHistoryById } from '@/api/chat';
import { useChatStore } from '@/store/chat';
import Avatar from '@/components/Avatar';
import Tabs from '@/components/Tabs';
enum TabEnum {
app = 'app',
history = 'history'
}
const PhoneSliderBar = ({
chatId,
modelId,
onClose
}: {
chatId: string;
modelId: string;
onClose: () => void;
}) => {
const router = useRouter();
const [currentTab, setCurrentTab] = useState(TabEnum.app);
const { myModels, myCollectionModels, loadMyModels } = useUserStore();
const { isOpen: isOpenWx, onOpen: onOpenWx, onClose: onCloseWx } = useDisclosure();
const models = useMemo(
() => [...myModels, ...myCollectionModels],
[myCollectionModels, myModels]
);
useQuery(['loadModels'], () => loadMyModels(false));
const { history, loadHistory } = useChatStore();
useQuery(['loadingHistory'], () => loadHistory({ pageNum: 1 }));
const RenderButton = ({
onClick,
children
}: {
onClick: () => void;
children: JSX.Element | string;
}) => (
<Box px={3} mb={2}>
<Flex
alignItems={'center'}
p={2}
cursor={'pointer'}
borderRadius={'md'}
_hover={{
backgroundColor: 'rgba(255,255,255,0.2)'
}}
onClick={onClick}
>
{children}
</Flex>
</Box>
);
return (
<Flex
flexDirection={'column'}
w={'100%'}
h={'100%'}
py={3}
backgroundColor={useColorModeValue('blackAlpha.800', 'blackAlpha.500')}
color={'white'}
>
<Flex mb={2} alignItems={'center'} justifyContent={'space-between'} px={2}>
<Tabs
w={'140px'}
list={[
{ label: '应用', id: TabEnum.app },
{ label: '历史记录', id: TabEnum.history }
]}
size={'sm'}
activeId={currentTab}
onChange={(e: any) => setCurrentTab(e)}
/>
{/* 新对话 */}
{currentTab === TabEnum.app && (
<Button
size={'sm'}
variant={'base'}
color={'white'}
leftIcon={<AddIcon />}
onClick={() => {
router.replace(`/chat?modelId=${modelId}`);
onClose();
}}
>
</Button>
)}
</Flex>
{/* 我的模型 & 历史记录 折叠框*/}
<Box flex={'1 0 0'} px={3} h={0} overflowY={'auto'}>
{currentTab === TabEnum.app && (
<>
{models.map((item) => (
<Flex
key={item._id}
alignItems={'center'}
p={3}
borderRadius={'md'}
mb={2}
cursor={'pointer'}
_hover={{
backgroundColor: 'rgba(255,255,255,0.1)'
}}
fontSize={'xs'}
border={'1px solid transparent'}
{...(item._id === modelId
? {
borderColor: 'rgba(255,255,255,0.5)',
backgroundColor: 'rgba(255,255,255,0.1)'
}
: {})}
onClick={async () => {
if (item._id === modelId) return;
router.replace(`/chat?modelId=${item._id}`);
onClose();
}}
>
<Avatar src={item.avatar} mr={2} w={'18px'} h={'18px'} />
<Box className={'textEllipsis'} flex={'1 0 0'} w={0}>
{item.name}
</Box>
</Flex>
))}
</>
)}
{currentTab === TabEnum.history && (
<>
{history.map((item) => (
<Flex
key={item._id}
alignItems={'center'}
p={3}
borderRadius={'md'}
mb={2}
fontSize={'xs'}
border={'1px solid transparent'}
{...(item._id === chatId
? {
borderColor: 'rgba(255,255,255,0.5)',
backgroundColor: 'rgba(255,255,255,0.1)'
}
: {})}
onClick={() => {
if (item._id === chatId) return;
router.replace(`/chat?modelId=${item.modelId}&chatId=${item._id}`);
onClose();
}}
>
<ChatIcon mr={2} />
<Box flex={'1 0 0'} w={0} className="textEllipsis">
{item.title}
</Box>
<Box>
<MyIcon
name={'delete'}
w={'14px'}
onClick={async (e) => {
e.stopPropagation();
console.log(111);
await delChatHistoryById(item._id);
loadHistory({ pageNum: 1, init: true });
if (item._id === chatId) {
router.replace(`/chat?modelId=${modelId}`);
}
}}
/>
</Box>
</Flex>
))}
</>
)}
</Box>
<Divider my={3} colorScheme={useColorModeValue('gray', 'white')} />
<RenderButton onClick={() => router.push('/model')}>
<>
<MyIcon name="out" fill={'white'} w={'18px'} h={'18px'} mr={4} />
退
</>
</RenderButton>
<RenderButton onClick={onOpenWx}>
<>
<MyIcon name="wx" fill={'white'} w={'18px'} h={'18px'} mr={4} />
</>
</RenderButton>
{/* wx 联系 */}
{isOpenWx && <WxConcat onClose={onCloseWx} />}
</Flex>
);
};
export default PhoneSliderBar;

View File

@@ -1,17 +0,0 @@
.home {
* {
position: relative;
}
.textlg {
background: linear-gradient(
to bottom right,
#1237b3 0%,
#3370ff 40%,
#4e83fd 80%,
#85b1ff 100%
);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
}
}

View File

@@ -1,317 +0,0 @@
import React, { useCallback, useState, useRef } from 'react';
import {
Box,
Card,
IconButton,
Flex,
Button,
useDisclosure,
Menu,
MenuButton,
MenuList,
MenuItem,
Input,
Grid
} from '@chakra-ui/react';
import type { KbDataItemType } from '@/types/plugin';
import { usePagination } from '@/hooks/usePagination';
import {
getKbDataList,
getExportDataList,
delOneKbDataByDataId,
getTrainingData
} from '@/api/plugins/kb';
import { DeleteIcon, RepeatIcon } from '@chakra-ui/icons';
import { fileDownload } from '@/utils/file';
import { useMutation, useQuery } from '@tanstack/react-query';
import { useToast } from '@/hooks/useToast';
import Papa from 'papaparse';
import dynamic from 'next/dynamic';
import InputModal, { FormData as InputDataType } from './InputDataModal';
import { debounce } from 'lodash';
import { getErrText } from '@/utils/tools';
const SelectFileModal = dynamic(() => import('./SelectFileModal'));
const SelectCsvModal = dynamic(() => import('./SelectCsvModal'));
const DataCard = ({ kbId }: { kbId: string }) => {
const lastSearch = useRef('');
const [searchText, setSearchText] = useState('');
const { toast } = useToast();
const [isDeleting, setIsDeleting] = useState(false);
const {
data: kbDataList,
isLoading,
Pagination,
total,
getData,
pageNum
} = usePagination<KbDataItemType>({
api: getKbDataList,
pageSize: 24,
params: {
kbId,
searchText
},
defaultRequest: false
});
const [editInputData, setEditInputData] = useState<InputDataType>();
const {
isOpen: isOpenSelectFileModal,
onOpen: onOpenSelectFileModal,
onClose: onCloseSelectFileModal
} = useDisclosure();
const {
isOpen: isOpenSelectCsvModal,
onOpen: onOpenSelectCsvModal,
onClose: onCloseSelectCsvModal
} = useDisclosure();
const { data: { qaListLen = 0, vectorListLen = 0 } = {}, refetch } = useQuery(
['getModelSplitDataList', kbId],
() => getTrainingData({ kbId, init: false }),
{
onError(err) {
console.log(err);
}
}
);
const refetchData = useCallback(
(num = pageNum) => {
getData(num);
refetch();
return null;
},
[getData, pageNum, refetch]
);
// get al data and export csv
const { mutate: onclickExport, isLoading: isLoadingExport = false } = useMutation({
mutationFn: () => getExportDataList(kbId),
onSuccess(res) {
try {
const text = Papa.unparse({
fields: ['question', 'answer', 'source'],
data: res
});
fileDownload({
text,
type: 'text/csv',
filename: 'data.csv'
});
toast({
title: '导出成功,下次导出需要半小时后',
status: 'success'
});
} catch (error) {
error;
}
},
onError(err: any) {
toast({
title: typeof err === 'string' ? err : err?.message || '导出异常',
status: 'error'
});
console.log(err);
}
});
const getFirstData = useCallback(
debounce(() => {
getData(1);
lastSearch.current = searchText;
}, 300),
[]
);
// interval get data
useQuery(['refetchData'], () => refetchData(1), {
refetchInterval: 5000,
enabled: qaListLen > 0 || vectorListLen > 0
});
useQuery(['getKbData', kbId], () => {
setSearchText('');
getData(1);
return null;
});
return (
<Box position={'relative'} px={5} pb={[1, 5]}>
<Flex justifyContent={'space-between'}>
<Box fontWeight={'bold'} fontSize={'lg'} mr={2}>
: {total}
</Box>
<Box>
<IconButton
icon={<RepeatIcon />}
aria-label={'refresh'}
variant={'base'}
isLoading={isLoading}
mr={[2, 4]}
size={'sm'}
onClick={() => {
refetchData(pageNum);
getTrainingData({ kbId, init: true });
}}
/>
<Button
variant={'base'}
mr={2}
size={'sm'}
isLoading={isLoadingExport || isLoading}
title={'半小时仅能导出1次'}
onClick={() => onclickExport()}
>
csv
</Button>
<Menu autoSelect={false}>
<MenuButton as={Button} size={'sm'} isLoading={isLoading}>
</MenuButton>
<MenuList>
<MenuItem
onClick={() =>
setEditInputData({
a: '',
q: ''
})
}
>
</MenuItem>
<MenuItem onClick={onOpenSelectFileModal}>/</MenuItem>
<MenuItem onClick={onOpenSelectCsvModal}>csv </MenuItem>
</MenuList>
</Menu>
</Box>
</Flex>
<Flex my={4}>
{qaListLen > 0 || vectorListLen > 0 ? (
<Box fontSize={'xs'}>
{qaListLen > 0 ? `${qaListLen}条数据正在拆分,` : ''}
{vectorListLen > 0 ? `${vectorListLen}条数据正在生成索引,` : ''}
...
</Box>
) : (
<Box fontSize={'xs'}>~</Box>
)}
<Box flex={1} mr={1} />
<Input
maxW={['60%', '300px']}
size={'sm'}
value={searchText}
placeholder="根据匹配知识,补充知识和来源搜索"
onChange={(e) => {
setSearchText(e.target.value);
getFirstData();
}}
onBlur={() => {
if (searchText === lastSearch.current) return;
getFirstData();
}}
onKeyDown={(e) => {
if (searchText === lastSearch.current) return;
if (e.key === 'Enter') {
getFirstData();
}
}}
/>
</Flex>
<Grid
minH={'100px'}
gridTemplateColumns={['1fr', 'repeat(2,1fr)', 'repeat(3,1fr)']}
gridGap={4}
>
{kbDataList.map((item) => (
<Card
key={item.id}
cursor={'pointer'}
pt={3}
userSelect={'none'}
boxShadow={'none'}
_hover={{ boxShadow: 'lg', '& .delete': { display: 'flex' } }}
border={'1px solid '}
borderColor={'myGray.200'}
onClick={() =>
setEditInputData({
dataId: item.id,
q: item.q,
a: item.a
})
}
>
<Box
h={'100px'}
overflow={'hidden'}
wordBreak={'break-all'}
px={3}
py={1}
fontSize={'13px'}
>
<Box color={'myGray.1000'} mb={2}>
{item.q}
</Box>
<Box color={'myGray.600'}>{item.a}</Box>
</Box>
<Flex py={2} px={4} h={'36px'} alignItems={'flex-end'} fontSize={'sm'}>
<Box className={'textEllipsis'} flex={1}>
{item.source?.trim()}
</Box>
<IconButton
className="delete"
display={['flex', 'none']}
icon={<DeleteIcon />}
variant={'base'}
colorScheme={'gray'}
aria-label={'delete'}
size={'xs'}
borderRadius={'md'}
_hover={{ color: 'red.600' }}
isLoading={isDeleting}
onClick={async (e) => {
e.stopPropagation();
try {
setIsDeleting(true);
await delOneKbDataByDataId(item.id);
refetchData(pageNum);
} catch (error) {
toast({
title: getErrText(error),
status: 'error'
});
}
setIsDeleting(false);
}}
/>
</Flex>
</Card>
))}
</Grid>
<Flex mt={2} justifyContent={'center'}>
<Pagination />
</Flex>
{editInputData !== undefined && (
<InputModal
kbId={kbId}
defaultValues={editInputData}
onClose={() => setEditInputData(undefined)}
onSuccess={() => refetchData()}
/>
)}
{isOpenSelectFileModal && (
<SelectFileModal kbId={kbId} onClose={onCloseSelectFileModal} onSuccess={refetchData} />
)}
{isOpenSelectCsvModal && (
<SelectCsvModal kbId={kbId} onClose={onCloseSelectCsvModal} onSuccess={refetchData} />
)}
</Box>
);
};
export default DataCard;

View File

@@ -1,91 +0,0 @@
import React, { useRef, useState } from 'react';
import { useRouter } from 'next/router';
import { Box, Flex } from '@chakra-ui/react';
import { useToast } from '@/hooks/useToast';
import { useForm } from 'react-hook-form';
import { useQuery } from '@tanstack/react-query';
import { useUserStore } from '@/store/user';
import { KbItemType } from '@/types/plugin';
import { useScreen } from '@/hooks/useScreen';
import { getErrText } from '@/utils/tools';
import Info, { type ComponentRef } from './Info';
import Tabs from '@/components/Tabs';
import dynamic from 'next/dynamic';
import DataCard from './DataCard';
const Test = dynamic(() => import('./Test'), {
ssr: false
});
enum TabEnum {
data = 'data',
test = 'test',
info = 'info'
}
const Detail = ({ kbId }: { kbId: string }) => {
const { toast } = useToast();
const router = useRouter();
const { isPc } = useScreen();
const BasicInfo = useRef<ComponentRef>(null);
const { setLastKbId, kbDetail, getKbDetail, loadKbList, myKbList } = useUserStore();
const [currentTab, setCurrentTab] = useState(TabEnum.data);
const form = useForm<KbItemType>({
defaultValues: kbDetail
});
const { reset } = form;
useQuery([kbId], () => getKbDetail(kbId), {
onSuccess(res) {
kbId && setLastKbId(kbId);
if (res) {
setCurrentTab(TabEnum.data);
reset(res);
BasicInfo.current?.initInput?.(res.tags);
}
},
onError(err: any) {
loadKbList(true);
setLastKbId('');
router.replace(`/kb`);
toast({
title: getErrText(err, '获取知识库异常'),
status: 'error'
});
}
});
return (
<Flex
flexDirection={'column'}
bg={'#fcfcfc'}
h={'100%'}
pt={5}
overflow={'overlay'}
position={'relative'}
>
<Box mb={3}>
<Tabs
m={'auto'}
w={'260px'}
size={isPc ? 'md' : 'sm'}
list={[
{ id: TabEnum.data, label: '数据管理' },
{ id: TabEnum.test, label: '搜索测试' },
{ id: TabEnum.info, label: '基本信息' }
]}
activeId={currentTab}
onChange={(e: any) => setCurrentTab(e)}
/>
</Box>
<Box flex={'1 0 0'} overflow={'overlay'}>
{currentTab === TabEnum.data && <DataCard kbId={kbId} />}
{currentTab === TabEnum.test && <Test />}
{currentTab === TabEnum.info && <Info ref={BasicInfo} kbId={kbId} form={form} />}
</Box>
</Flex>
);
};
export default Detail;

View File

@@ -1,233 +0,0 @@
import React, {
useCallback,
useState,
useRef,
forwardRef,
useImperativeHandle,
ForwardedRef
} from 'react';
import { useRouter } from 'next/router';
import { Box, Flex, Button, FormControl, IconButton, Tooltip, Input, Card } from '@chakra-ui/react';
import { QuestionOutlineIcon, DeleteIcon } from '@chakra-ui/icons';
import { delKbById, putKbById } from '@/api/plugins/kb';
import { useSelectFile } from '@/hooks/useSelectFile';
import { useToast } from '@/hooks/useToast';
import { useUserStore } from '@/store/user';
import { useConfirm } from '@/hooks/useConfirm';
import { UseFormReturn } from 'react-hook-form';
import { compressImg } from '@/utils/file';
import type { KbItemType } from '@/types/plugin';
import Avatar from '@/components/Avatar';
import Tag from '@/components/Tag';
export interface ComponentRef {
initInput: (tags: string) => void;
}
const Info = (
{ kbId, form }: { kbId: string; form: UseFormReturn<KbItemType, any> },
ref: ForwardedRef<ComponentRef>
) => {
const { getValues, formState, setValue, register, handleSubmit } = form;
const InputRef = useRef<HTMLInputElement>(null);
const { toast } = useToast();
const router = useRouter();
const [btnLoading, setBtnLoading] = useState(false);
const [refresh, setRefresh] = useState(false);
const { openConfirm, ConfirmChild } = useConfirm({
content: '确认删除该知识库?数据将无法恢复,请确认!'
});
const { File, onOpen: onOpenSelectFile } = useSelectFile({
fileType: '.jpg,.png',
multiple: false
});
const { kbDetail, getKbDetail, loadKbList, myKbList } = useUserStore();
/* 点击删除 */
const onclickDelKb = useCallback(async () => {
setBtnLoading(true);
try {
await delKbById(kbId);
toast({
title: '删除成功',
status: 'success'
});
router.replace(`/kb?kbId=${myKbList.find((item) => item._id !== kbId)?._id || ''}`);
await loadKbList(true);
} catch (err: any) {
toast({
title: err?.message || '删除失败',
status: 'error'
});
}
setBtnLoading(false);
}, [setBtnLoading, kbId, toast, router, myKbList, loadKbList]);
const saveSubmitSuccess = useCallback(
async (data: KbItemType) => {
setBtnLoading(true);
try {
await putKbById({
id: kbId,
...data
});
await getKbDetail(kbId, true);
toast({
title: '更新成功',
status: 'success'
});
loadKbList(true);
} catch (err: any) {
toast({
title: err?.message || '更新失败',
status: 'error'
});
}
setBtnLoading(false);
},
[getKbDetail, kbId, loadKbList, toast]
);
const saveSubmitError = useCallback(() => {
// deep search message
const deepSearch = (obj: any): string => {
if (!obj) return '提交表单错误';
if (!!obj.message) {
return obj.message;
}
return deepSearch(Object.values(obj)[0]);
};
toast({
title: deepSearch(formState.errors),
status: 'error',
duration: 4000,
isClosable: true
});
}, [formState.errors, toast]);
const onSelectFile = useCallback(
async (e: File[]) => {
const file = e[0];
if (!file) return;
try {
const src = await compressImg({
file,
maxW: 100,
maxH: 100
});
setValue('avatar', src);
setRefresh((state) => !state);
} catch (err: any) {
toast({
title: typeof err === 'string' ? err : '头像选择异常',
status: 'warning'
});
}
},
[setRefresh, setValue, toast]
);
useImperativeHandle(ref, () => ({
initInput: (tags: string) => {
if (InputRef.current) {
InputRef.current.value = tags;
}
}
}));
return (
<Flex px={5} flexDirection={'column'} alignItems={'center'}>
<Flex mt={5} w={'100%'} maxW={'350px'} alignItems={'center'}>
<Box flex={'0 0 90px'} w={0}>
</Box>
<Box flex={1}>
<Avatar
m={'auto'}
src={getValues('avatar')}
w={['32px', '40px']}
h={['32px', '40px']}
cursor={'pointer'}
title={'点击切换头像'}
onClick={onOpenSelectFile}
/>
</Box>
</Flex>
<FormControl mt={8} w={'100%'} maxW={'350px'} display={'flex'} alignItems={'center'}>
<Box flex={'0 0 90px'} w={0}>
</Box>
<Input
flex={1}
{...register('name', {
required: '知识库名称不能为空'
})}
/>
</FormControl>
<Flex mt={8} alignItems={'center'} w={'100%'} maxW={'350px'} flexWrap={'wrap'}>
<Box flex={'0 0 90px'} w={0}>
<Tooltip label={'用空格隔开多个标签,便于搜索'}>
<QuestionOutlineIcon ml={1} />
</Tooltip>
</Box>
<Input
flex={1}
maxW={'300px'}
ref={InputRef}
placeholder={'标签,使用空格分割。'}
maxLength={30}
onChange={(e) => {
setValue('tags', e.target.value);
setRefresh(!refresh);
}}
/>
<Box pl={'90px'} mt={2} w="100%">
{getValues('tags')
.split(' ')
.filter((item) => item)
.map((item, i) => (
<Tag mr={2} mb={2} key={i} whiteSpace={'nowrap'}>
{item}
</Tag>
))}
</Box>
</Flex>
{kbDetail._id && (
<Flex mt={5} w={'100%'} maxW={'350px'} alignItems={'flex-end'}>
<Box flex={'0 0 90px'} w={0}></Box>
<Button
isLoading={btnLoading}
mr={4}
w={'100px'}
onClick={handleSubmit(saveSubmitSuccess, saveSubmitError)}
>
</Button>
<IconButton
isLoading={btnLoading}
icon={<DeleteIcon />}
aria-label={''}
variant={'outline'}
size={'sm'}
_hover={{
color: 'red.600',
borderColor: 'red.600'
}}
onClick={openConfirm(onclickDelKb)}
/>
</Flex>
)}
<File onSelect={onSelectFile} />
<ConfirmChild />
</Flex>
);
};
export default forwardRef(Info);

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@@ -1,268 +0,0 @@
import React, { useEffect, useMemo, useState } from 'react';
import { Box, Textarea, Button, Flex, useTheme, Grid, Progress } from '@chakra-ui/react';
import { useKbStore } from '@/store/kb';
import type { KbTestItemType } from '@/types/plugin';
import { searchText, getKbDataItemById } from '@/api/plugins/kb';
import MyIcon from '@/components/Icon';
import { useRequest } from '@/hooks/useRequest';
import { useRouter } from 'next/router';
import { formatTimeToChatTime } from '@/utils/tools';
import InputDataModal, { type FormData } from './InputDataModal';
import { useGlobalStore } from '@/store/global';
import { getErrText } from '@/utils/tools';
import { useToast } from '@/hooks/useToast';
import { customAlphabet } from 'nanoid';
const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 12);
const Test = () => {
const { kbId } = useRouter().query as { kbId: string };
const theme = useTheme();
const { toast } = useToast();
const { setLoading } = useGlobalStore();
const { kbTestList, pushKbTestItem, delKbTestItemById, updateKbItemById } = useKbStore();
const [inputText, setInputText] = useState('');
const [kbTestItem, setKbTestItem] = useState<KbTestItemType>();
const [editData, setEditData] = useState<FormData>();
const kbTestHistory = useMemo(
() => kbTestList.filter((item) => item.kbId === kbId),
[kbId, kbTestList]
);
const { mutate, isLoading } = useRequest({
mutationFn: () => searchText({ kbId, text: inputText.trim() }),
onSuccess(res) {
const testItem = {
id: nanoid(),
kbId,
text: inputText.trim(),
time: new Date(),
results: res
};
pushKbTestItem(testItem);
setInputText('');
setKbTestItem(testItem);
}
});
useEffect(() => {
setKbTestItem(undefined);
}, [kbId]);
return (
<Box h={'100%'} display={['block', 'flex']}>
<Box
h={['auto', '100%']}
overflow={'overlay'}
flex={1}
maxW={'500px'}
px={4}
borderRight={['none', theme.borders.base]}
>
<Box border={'2px solid'} borderColor={'myBlue.600'} p={3} borderRadius={'md'}>
<Box fontSize={'sm'} fontWeight={'bold'}>
<MyIcon mr={2} name={'text'} w={'18px'} h={'18px'} color={'myBlue.700'} />
</Box>
<Textarea
rows={6}
resize={'none'}
variant={'unstyled'}
maxLength={1000}
placeholder="输入需要测试的文本"
value={inputText}
onChange={(e) => setInputText(e.target.value)}
/>
<Flex justifyContent={'flex-end'}>
<Button isDisabled={inputText === ''} isLoading={isLoading} onClick={mutate}>
</Button>
</Flex>
</Box>
<Box mt={5} display={['none', 'block']}>
<Flex alignItems={'center'} color={'myGray.600'}>
<MyIcon mr={2} name={'history'} w={'16px'} h={'16px'} />
<Box fontSize={'2xl'}></Box>
</Flex>
<Box mt={2}>
<Flex py={1} fontWeight={'bold'} borderBottom={theme.borders.base}>
<Box flex={1}></Box>
<Box w={'80px'}></Box>
<Box w={'14px'}></Box>
</Flex>
{kbTestHistory.map((item) => (
<Flex
key={item.id}
p={1}
alignItems={'center'}
borderBottom={theme.borders.base}
_hover={{
bg: '#f4f4f4',
'& .delete': {
display: 'block'
}
}}
cursor={'pointer'}
onClick={() => setKbTestItem(item)}
>
<Box flex={1} mr={2}>
{item.text}
</Box>
<Box w={'80px'}>{formatTimeToChatTime(item.time)}</Box>
<Box w={'14px'} h={'14px'}>
<MyIcon
className="delete"
name={'delete'}
w={'14px'}
display={'none'}
_hover={{ color: 'red.600' }}
onClick={(e) => {
e.stopPropagation();
delKbTestItemById(item.id);
kbTestItem?.id === item.id && setKbTestItem(undefined);
}}
/>
</Box>
</Flex>
))}
</Box>
</Box>
</Box>
<Box px={4} pb={4} mt={[8, 0]} h={['auto', '100%']} overflow={'overlay'} flex={1}>
{!kbTestItem?.results || kbTestItem.results.length === 0 ? (
<Flex
mt={[10, 0]}
h={'100%'}
flexDirection={'column'}
alignItems={'center'}
justifyContent={'center'}
>
<MyIcon name={'empty'} color={'transparent'} w={'54px'} />
<Box mt={3} color={'myGray.600'}>
</Box>
</Flex>
) : (
<>
<Flex alignItems={'flex-end'}>
<Box fontSize={'3xl'} color={'myGray.600'}>
</Box>
<Box fontSize={'xs'} color={'myGray.500'} ml={1}>
QA内容可能不是最新
</Box>
</Flex>
<Grid
mt={1}
gridTemplateColumns={[
'repeat(1,1fr)',
'repeat(1,1fr)',
'repeat(1,1fr)',
'repeat(2,1fr)'
]}
gridGap={4}
>
{kbTestItem?.results.map((item) => (
<Box
key={item.id}
pb={2}
borderRadius={'sm'}
border={theme.borders.base}
_notLast={{ mb: 2 }}
cursor={'pointer'}
title={'编辑'}
onClick={async () => {
try {
setLoading(true);
const data = await getKbDataItemById(item.id);
if (!data) {
throw new Error('该数据已被删除');
}
setEditData({
dataId: data.id,
q: data.q,
a: data.a
});
} catch (err) {
toast({
status: 'warning',
title: getErrText(err)
});
}
setLoading(false);
}}
>
<Flex p={3} alignItems={'center'} color={'myGray.500'}>
<MyIcon name={'kbTest'} w={'14px'} />
<Progress
mx={2}
flex={1}
value={item.score * 100}
size="sm"
borderRadius={'20px'}
colorScheme="gray"
/>
<Box>{item.score.toFixed(4)}</Box>
</Flex>
<Box
px={2}
fontSize={'xs'}
color={'myGray.600'}
maxH={'200px'}
overflow={'overlay'}
>
<Box>{item.q}</Box>
<Box>{item.a}</Box>
</Box>
</Box>
))}
</Grid>
</>
)}
</Box>
{editData && (
<InputDataModal
kbId={kbId}
defaultValues={editData}
onClose={() => setEditData(undefined)}
onSuccess={(data) => {
if (kbTestItem && editData.dataId) {
const newTestItem = {
...kbTestItem,
results: kbTestItem.results.map((item) =>
item.id === editData.dataId
? {
...item,
q: data.q,
a: data.a
}
: item
)
};
updateKbItemById(newTestItem);
setKbTestItem(newTestItem);
}
setEditData(undefined);
}}
onDelete={() => {
if (kbTestItem && editData.dataId) {
const newTestItem = {
...kbTestItem,
results: kbTestItem.results.filter((item) => item.id !== editData.dataId)
};
updateKbItemById(newTestItem);
setKbTestItem(newTestItem);
}
setEditData(undefined);
}}
/>
)}
</Box>
);
};
export default Test;

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@@ -1,177 +0,0 @@
import React, { useCallback, useMemo, useRef, useState } from 'react';
import { Box, Flex, Input, IconButton, Tooltip, Tab, useTheme } from '@chakra-ui/react';
import { AddIcon } from '@chakra-ui/icons';
import { useRouter } from 'next/router';
import MyIcon from '@/components/Icon';
import { postCreateModel } from '@/api/model';
import { useLoading } from '@/hooks/useLoading';
import { useToast } from '@/hooks/useToast';
import { useQuery } from '@tanstack/react-query';
import { useUserStore } from '@/store/user';
import { MyModelsTypeEnum } from '@/constants/user';
import dynamic from 'next/dynamic';
const Avatar = dynamic(() => import('@/components/Avatar'), {
ssr: true
});
const Tabs = dynamic(() => import('@/components/Tabs'), {
ssr: true
});
const ModelList = ({ modelId }: { modelId: string }) => {
const [currentTab, setCurrentTab] = useState(MyModelsTypeEnum.my);
const theme = useTheme();
const router = useRouter();
const { toast } = useToast();
const { Loading, setIsLoading } = useLoading();
const { myModels, myCollectionModels, loadMyModels, refreshModel } = useUserStore();
const [searchText, setSearchText] = useState('');
/* 加载模型 */
const { isFetching } = useQuery(['loadModels'], () => loadMyModels(false));
const onclickCreateModel = useCallback(async () => {
setIsLoading(true);
try {
const id = await postCreateModel({
name: `AI应用${myModels.length + 1}`
});
toast({
title: '创建成功',
status: 'success'
});
refreshModel.freshMyModels();
router.push(`/model?modelId=${id}`);
} catch (err: any) {
toast({
title: typeof err === 'string' ? err : err.message || '出现了意外',
status: 'error'
});
}
setIsLoading(false);
}, [myModels.length, refreshModel, router, setIsLoading, toast]);
const currentModels = useMemo(() => {
const map = {
[MyModelsTypeEnum.my]: {
list: myModels.filter((item) =>
new RegExp(searchText, 'ig').test(item.name + item.systemPrompt)
),
emptyText: '还没有 AI 应用~\n快来创建一个吧'
},
[MyModelsTypeEnum.collection]: {
list: myCollectionModels.filter((item) =>
new RegExp(searchText, 'ig').test(item.name + item.systemPrompt)
),
emptyText: '收藏的 AI 应用为空~\n快去市场找一个吧'
}
};
return map[currentTab];
}, [currentTab, myCollectionModels, myModels, searchText]);
return (
<Flex
position={'relative'}
flexDirection={'column'}
w={'100%'}
h={'100%'}
bg={'white'}
borderRight={['', theme.borders.base]}
>
<Flex w={'90%'} mt={5} mb={3} mx={'auto'}>
<Flex flex={1} mr={2} position={'relative'} alignItems={'center'}>
<Input
h={'32px'}
placeholder="搜索 AI 应用"
value={searchText}
onChange={(e) => setSearchText(e.target.value)}
/>
{searchText && (
<MyIcon
zIndex={10}
position={'absolute'}
right={3}
name={'closeSolid'}
w={'16px'}
h={'16px'}
color={'myGray.500'}
cursor={'pointer'}
onClick={() => setSearchText('')}
/>
)}
</Flex>
<Tooltip label={'新建一个AI应用'}>
<IconButton
h={'32px'}
icon={<AddIcon />}
aria-label={''}
variant={'base'}
onClick={onclickCreateModel}
/>
</Tooltip>
</Flex>
<Flex mb={3} userSelect={'none'}>
<Box flex={1}></Box>
<Tabs
w={'130px'}
list={[
{ label: '我的', id: MyModelsTypeEnum.my },
{ label: '收藏', id: MyModelsTypeEnum.collection }
]}
activeId={currentTab}
size={'sm'}
onChange={(id: any) => setCurrentTab(id)}
/>
</Flex>
<Box flex={'1 0 0'} h={0} pl={[0, 2]} overflowY={'scroll'} userSelect={'none'}>
{currentModels.list.map((item) => (
<Flex
key={item._id}
position={'relative'}
alignItems={['flex-start', 'center']}
p={3}
mb={[2, 0]}
cursor={'pointer'}
transition={'background-color .2s ease-in'}
borderRadius={['', 'md']}
borderBottom={['1px solid #f4f4f4', 'none']}
_hover={{
backgroundImage: ['', theme.lgColor.hoverBlueGradient]
}}
{...(modelId === item._id
? {
backgroundImage: `${theme.lgColor.activeBlueGradient} !important`
}
: {})}
onClick={() => {
if (item._id === modelId) return;
router.push(`/model?modelId=${item._id}`);
}}
>
<Avatar src={item.avatar} w={'34px'} h={'34px'} />
<Box flex={'1 0 0'} w={0} ml={3}>
<Box className="textEllipsis" color={'myGray.1000'}>
{item.name}
</Box>
<Box className="textEllipsis" color={'myGray.400'} fontSize={'sm'}>
{item.systemPrompt || '这个 应用 没有设置提示词~'}
</Box>
</Box>
</Flex>
))}
{!isFetching && currentModels.list.length === 0 && (
<Flex h={'100%'} flexDirection={'column'} alignItems={'center'} pt={'30vh'}>
<MyIcon name="empty" w={'48px'} h={'48px'} color={'transparent'} />
<Box mt={2} color={'myGray.500'}>
{currentModels.emptyText}
</Box>
</Flex>
)}
</Box>
<Loading loading={isFetching} fixed={false} />
</Flex>
);
};
export default ModelList;

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@@ -1,91 +0,0 @@
import React from 'react';
import {
Box,
Flex,
Accordion,
AccordionItem,
AccordionButton,
AccordionPanel,
AccordionIcon
} from '@chakra-ui/react';
import { getInforms, readInform } from '@/api/user';
import { usePagination } from '@/hooks/usePagination';
import { useLoading } from '@/hooks/useLoading';
import type { informSchema } from '@/types/mongoSchema';
import { formatTimeToChatTime } from '@/utils/tools';
import MyIcon from '@/components/Icon';
const BillTable = () => {
const { Loading } = useLoading();
const {
data: informs,
isLoading,
total,
pageSize,
Pagination,
getData,
pageNum
} = usePagination<informSchema>({
api: getInforms
});
return (
<Box mt={2}>
<Accordion defaultIndex={[0, 1, 2]} allowMultiple>
{informs.map((item) => (
<AccordionItem
key={item._id}
onClick={async () => {
if (!item.read) {
await readInform(item._id);
getData(pageNum);
}
}}
>
<AccordionButton>
<Flex alignItems={'center'} flex="1" textAlign="left">
<Box fontWeight={'bold'} position={'relative'}>
{!item.read && (
<Box
w={'5px'}
h={'5px'}
borderRadius={'10px'}
bg={'myRead.600'}
position={'absolute'}
top={1}
left={'-5px'}
></Box>
)}
{item.title}
</Box>
<Box ml={2} color={'myGray.500'}>
{formatTimeToChatTime(item.time)}
</Box>
</Flex>
<AccordionIcon />
</AccordionButton>
<AccordionPanel pb={4}>{item.content}</AccordionPanel>
</AccordionItem>
))}
</Accordion>
{!isLoading && informs.length === 0 && (
<Flex h={'100%'} flexDirection={'column'} alignItems={'center'} pt={'100px'}>
<MyIcon name="empty" w={'48px'} h={'48px'} color={'transparent'} />
<Box mt={2} color={'myGray.500'}>
~
</Box>
</Flex>
)}
{total > pageSize && (
<Flex w={'100%'} mt={4} justifyContent={'flex-end'}>
<Pagination />
</Flex>
)}
<Loading loading={isLoading && informs.length === 0} fixed={false} />
</Box>
);
};
export default BillTable;

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@@ -1,107 +0,0 @@
import React, { useState, useCallback } from 'react';
import {
Button,
Table,
Thead,
Tbody,
Tr,
Th,
Td,
TableContainer,
Flex,
Box
} from '@chakra-ui/react';
import { getPayOrders, checkPayResult } from '@/api/user';
import { PaySchema } from '@/types/mongoSchema';
import dayjs from 'dayjs';
import { useQuery } from '@tanstack/react-query';
import { formatPrice } from '@/utils/user';
import { useGlobalStore } from '@/store/global';
import { useToast } from '@/hooks/useToast';
import { useLoading } from '@/hooks/useLoading';
import MyIcon from '@/components/Icon';
const PayRecordTable = () => {
const { Loading, setIsLoading } = useLoading();
const [payOrders, setPayOrders] = useState<PaySchema[]>([]);
const { toast } = useToast();
const handleRefreshPayOrder = useCallback(
async (payId: string) => {
setIsLoading(true);
try {
const data = await checkPayResult(payId);
toast({
title: data,
status: 'info'
});
const res = await getPayOrders();
setPayOrders(res);
} catch (error: any) {
toast({
title: error?.message,
status: 'warning'
});
console.log(error);
}
setIsLoading(false);
},
[setIsLoading, toast]
);
const { isInitialLoading } = useQuery(['initPayOrder'], getPayOrders, {
onSuccess(res) {
setPayOrders(res);
}
});
return (
<>
<TableContainer>
<Table>
<Thead>
<Tr>
<Th></Th>
<Th></Th>
<Th></Th>
<Th></Th>
<Th></Th>
</Tr>
</Thead>
<Tbody fontSize={'sm'}>
{payOrders.map((item) => (
<Tr key={item._id}>
<Td>{item.orderId}</Td>
<Td>
{item.createTime ? dayjs(item.createTime).format('YYYY/MM/DD HH:mm:ss') : '-'}
</Td>
<Td>{formatPrice(item.price)}</Td>
<Td>{item.status}</Td>
<Td>
{item.status === 'NOTPAY' && (
<Button onClick={() => handleRefreshPayOrder(item._id)} size={'sm'}>
</Button>
)}
</Td>
</Tr>
))}
</Tbody>
</Table>
</TableContainer>
{!isInitialLoading && payOrders.length === 0 && (
<Flex h={'100%'} flexDirection={'column'} alignItems={'center'} pt={'100px'}>
<MyIcon name="empty" w={'48px'} h={'48px'} color={'transparent'} />
<Box mt={2} color={'myGray.500'}>
~
</Box>
</Flex>
)}
<Loading loading={isInitialLoading} fixed={false} />
</>
);
};
export default PayRecordTable;

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@@ -1,68 +0,0 @@
import React from 'react';
import { Flex, Table, Thead, Tbody, Tr, Th, Td, TableContainer, Box } from '@chakra-ui/react';
import { useLoading } from '@/hooks/useLoading';
import dayjs from 'dayjs';
import { getPromotionRecords } from '@/api/user';
import { usePagination } from '@/hooks/usePagination';
import { PromotionRecordType } from '@/api/response/user';
import { PromotionTypeMap } from '@/constants/user';
import MyIcon from '@/components/Icon';
const OpenApi = () => {
const { Loading } = useLoading();
const {
data: promotionRecords,
isLoading,
total,
pageSize,
Pagination
} = usePagination<PromotionRecordType>({
api: getPromotionRecords
});
return (
<>
<TableContainer position={'relative'} overflow={'hidden'} minH={'100px'}>
<Table>
<Thead>
<Tr>
<Th></Th>
<Th></Th>
<Th></Th>
</Tr>
</Thead>
<Tbody fontSize={'sm'}>
{promotionRecords.map((item) => (
<Tr key={item._id}>
<Td>
{item.createTime ? dayjs(item.createTime).format('YYYY/MM/DD HH:mm:ss') : '-'}
</Td>
<Td>{PromotionTypeMap[item.type]}</Td>
<Td>{item.amount}</Td>
</Tr>
))}
</Tbody>
</Table>
<Loading loading={isLoading} fixed={false} />
</TableContainer>
{!isLoading && promotionRecords.length === 0 && (
<Flex flexDirection={'column'} alignItems={'center'}>
<MyIcon name="empty" w={'48px'} h={'48px'} color={'transparent'} />
<Box mt={2} color={'myGray.500'}>
~
</Box>
</Flex>
)}
{total > pageSize && (
<Flex mt={4} justifyContent={'flex-end'}>
<Pagination />
</Flex>
)}
</>
);
};
export default OpenApi;

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@@ -1,279 +0,0 @@
import React, { useCallback, useRef, useState } from 'react';
import { Card, Box, Flex, Button, Input, Grid, useDisclosure } from '@chakra-ui/react';
import { useForm } from 'react-hook-form';
import { UserUpdateParams } from '@/types/user';
import { putUserInfo, getPromotionInitData } from '@/api/user';
import { useToast } from '@/hooks/useToast';
import { useGlobalStore } from '@/store/global';
import { useUserStore } from '@/store/user';
import { UserType } from '@/types/user';
import { clearCookie } from '@/utils/user';
import { useRouter } from 'next/router';
import { useQuery } from '@tanstack/react-query';
import dynamic from 'next/dynamic';
import { useSelectFile } from '@/hooks/useSelectFile';
import { compressImg } from '@/utils/file';
import { useCopyData } from '@/utils/tools';
import Loading from '@/components/Loading';
import Avatar from '@/components/Avatar';
import MyIcon from '@/components/Icon';
import Tabs from '@/components/Tabs';
const PayRecordTable = dynamic(() => import('./components/PayRecordTable'), {
loading: () => <Loading fixed={false} />,
ssr: false
});
const BilTable = dynamic(() => import('./components/BillTable'), {
loading: () => <Loading fixed={false} />,
ssr: false
});
const PromotionTable = dynamic(() => import('./components/PromotionTable'), {
loading: () => <Loading fixed={false} />,
ssr: false
});
const InformTable = dynamic(() => import('./components/InformTable'), {
loading: () => <Loading fixed={false} />,
ssr: false
});
const PayModal = dynamic(() => import('./components/PayModal'), {
loading: () => <Loading fixed={false} />,
ssr: false
});
const WxConcat = dynamic(() => import('@/components/WxConcat'), {
loading: () => <Loading fixed={false} />,
ssr: false
});
enum TableEnum {
'bill' = 'bill',
'pay' = 'pay',
'promotion' = 'promotion',
'inform' = 'inform'
}
const NumberSetting = ({ tableType }: { tableType: `${TableEnum}` }) => {
const tableList = useRef([
{ label: '账单', id: TableEnum.bill, Component: <BilTable /> },
{ label: '充值', id: TableEnum.pay, Component: <PayRecordTable /> },
{ label: '佣金', id: TableEnum.promotion, Component: <PromotionTable /> },
{ label: '通知', id: TableEnum.inform, Component: <InformTable /> }
]);
const [currentTab, setCurrentTab] = useState(tableType);
const router = useRouter();
const { copyData } = useCopyData();
const { userInfo, updateUserInfo, initUserInfo, setUserInfo } = useUserStore();
const { setLoading } = useGlobalStore();
const { register, handleSubmit, reset } = useForm<UserUpdateParams>({
defaultValues: userInfo as UserType
});
const { toast } = useToast();
const {
isOpen: isOpenPayModal,
onClose: onClosePayModal,
onOpen: onOpenPayModal
} = useDisclosure();
const {
isOpen: isOpenWxConcat,
onClose: onCloseWxConcat,
onOpen: onOpenWxConcat
} = useDisclosure();
const { File, onOpen: onOpenSelectFile } = useSelectFile({
fileType: '.jpg,.png',
multiple: false
});
const onclickSave = useCallback(
async (data: UserUpdateParams) => {
setLoading(true);
try {
await putUserInfo({
openaiKey: data.openaiKey,
avatar: data.avatar
});
updateUserInfo({
openaiKey: data.openaiKey,
avatar: data.avatar
});
reset(data);
toast({
title: '更新成功',
status: 'success'
});
} catch (error) {}
setLoading(false);
},
[reset, setLoading, toast, updateUserInfo]
);
const onSelectFile = useCallback(
async (e: File[]) => {
const file = e[0];
if (!file) return;
try {
const src = await compressImg({
file,
maxW: 100,
maxH: 100
});
onclickSave({
...userInfo,
avatar: src
});
} catch (err: any) {
toast({
title: typeof err === 'string' ? err : '头像选择异常',
status: 'warning'
});
}
},
[onclickSave, toast, userInfo]
);
const onclickLogOut = useCallback(() => {
clearCookie();
setUserInfo(null);
router.replace('/login');
}, [router, setUserInfo]);
useQuery(['init'], initUserInfo, {
onSuccess(res) {
reset(res);
}
});
const { data: { invitedAmount = 0, historyAmount = 0, residueAmount = 0 } = {} } = useQuery(
['getPromotionInitData'],
getPromotionInitData
);
return (
<Box py={[5, 10]} px={'5vw'}>
<Grid gridTemplateColumns={['1fr', '3fr 300px']} gridGap={4}>
<Card px={6} py={4}>
<Flex justifyContent={'space-between'}>
<Box fontSize={'xl'} fontWeight={'bold'}>
</Box>
<Button variant={'base'} size={'xs'} onClick={onclickLogOut}>
退
</Button>
</Flex>
<Flex mt={6} alignItems={'center'}>
<Box flex={'0 0 50px'}>:</Box>
<Avatar
src={userInfo?.avatar}
w={['28px', '36px']}
h={['28px', '36px']}
cursor={'pointer'}
title={'点击切换头像'}
onClick={onOpenSelectFile}
/>
</Flex>
<Flex mt={6} alignItems={'center'}>
<Box flex={'0 0 50px'}>:</Box>
<Box>{userInfo?.username}</Box>
</Flex>
<Box mt={6}>
<Flex alignItems={'center'}>
<Box flex={'0 0 50px'}>:</Box>
<Box>
<strong>{userInfo?.balance}</strong>
</Box>
<Button size={['xs', 'sm']} w={['70px', '80px']} ml={5} onClick={onOpenPayModal}>
</Button>
</Flex>
<Box fontSize={'xs'} color={'blackAlpha.500'}>
openai openai
</Box>
</Box>
<Flex mt={6} alignItems={'center'}>
<Box flex={'0 0 85px'}>openaiKey:</Box>
<Input
{...register(`openaiKey`)}
maxW={'300px'}
placeholder={'openai账号。回车或失去焦点保存'}
size={'sm'}
onBlur={handleSubmit(onclickSave)}
onKeyDown={(e) => {
if (e.keyCode === 13) {
handleSubmit(onclickSave)();
}
}}
></Input>
</Flex>
</Card>
<Card px={6} py={4}>
<Box fontSize={'xl'} fontWeight={'bold'}>
</Box>
{[
{ label: '佣金比例', value: `${userInfo?.promotion.rate || 15}%` },
{ label: '已注册用户数', value: `${invitedAmount}` },
{ label: '累计佣金', value: `${historyAmount}` }
].map((item) => (
<Flex key={item.label} alignItems={'center'} mt={4} justifyContent={'space-between'}>
<Box w={'120px'}>{item.label}</Box>
<Box fontWeight={'bold'}>{item.value}</Box>
</Flex>
))}
<Button
mt={4}
variant={'base'}
w={'100%'}
onClick={() =>
copyData(`${location.origin}/?inviterId=${userInfo?._id}`, '已复制邀请链接')
}
>
</Button>
<Button
mt={4}
leftIcon={<MyIcon name="withdraw" w={'22px'} />}
px={4}
title={residueAmount < 50 ? '最低提现额度为50元' : ''}
isDisabled={residueAmount < 50}
variant={'base'}
colorScheme={'myBlue'}
onClick={onOpenWxConcat}
>
{residueAmount < 50 ? '50元起提' : '提现'}
</Button>
</Card>
</Grid>
<Card mt={4} px={[3, 6]} py={4}>
<Tabs
m={'auto'}
w={'200px'}
list={tableList.current}
activeId={currentTab}
size={'sm'}
onChange={(id: any) => setCurrentTab(id)}
/>
<Box minH={'300px'}>
{(() => {
const item = tableList.current.find((item) => item.id === currentTab);
return item ? item.Component : null;
})()}
</Box>
</Card>
{isOpenPayModal && <PayModal onClose={onClosePayModal} />}
{isOpenWxConcat && <WxConcat onClose={onCloseWxConcat} />}
<File onSelect={onSelectFile} />
</Box>
);
};
export default NumberSetting;
NumberSetting.getInitialProps = ({ query, req }: any) => {
return {
tableType: query?.type || TableEnum.bill
};
};

View File

@@ -1,15 +0,0 @@
import { Schema, model, models, Model } from 'mongoose';
const ImageSchema = new Schema({
userId: {
type: Schema.Types.ObjectId,
ref: 'user',
required: true
},
binary: {
type: Buffer
}
});
export const Image: Model<{ userId: string; binary: Buffer }> =
models['image'] || model('image', ImageSchema);

View File

@@ -1,40 +0,0 @@
import { Schema, model, models, Model } from 'mongoose';
import { informSchema } from '@/types/mongoSchema';
import { InformTypeMap } from '@/constants/user';
const InformSchema = new Schema({
userId: {
type: Schema.Types.ObjectId,
ref: 'user',
required: true
},
time: {
type: Date,
default: () => new Date()
},
type: {
type: String,
enum: Object.keys(InformTypeMap)
},
title: {
type: String,
required: true
},
content: {
type: String,
required: true
},
read: {
type: Boolean,
default: false
}
});
try {
InformSchema.index({ time: -1 });
InformSchema.index({ userId: 1 });
} catch (error) {
console.log(error);
}
export const Inform: Model<informSchema> = models['inform'] || model('inform', InformSchema);

View File

@@ -1,34 +0,0 @@
import { Schema, model, models } from 'mongoose';
const SystemSchema = new 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 System = models['system'] || model('system', SystemSchema);

View File

@@ -1,42 +0,0 @@
import { create } from 'zustand';
import { devtools, persist } from 'zustand/middleware';
import { immer } from 'zustand/middleware/immer';
import { type KbTestItemType } from '@/types/plugin';
type State = {
kbTestList: KbTestItemType[];
pushKbTestItem: (data: KbTestItemType) => void;
delKbTestItemById: (id: string) => void;
updateKbItemById: (data: KbTestItemType) => void;
};
export const useKbStore = create<State>()(
devtools(
persist(
immer((set, get) => ({
kbTestList: [],
pushKbTestItem(data) {
set((state) => {
state.kbTestList = [data, ...state.kbTestList].slice(0, 500);
});
},
delKbTestItemById(id) {
set((state) => {
state.kbTestList = state.kbTestList.filter((item) => item.id !== id);
});
},
updateKbItemById(data: KbTestItemType) {
set((state) => {
state.kbTestList = state.kbTestList.map((item) => (item.id === data.id ? data : item));
});
}
})),
{
name: 'kbStore',
partialize: (state) => ({
kbTestList: state.kbTestList
})
}
)
)
);

View File

@@ -67,10 +67,6 @@ do
done
```
## FastGpt Admin
参考 admin 里的 README.md
## 其他优化点
# Git Action 自动打包镜像

View File

@@ -1,8 +1,7 @@
version: '3.3'
services:
pg:
image: ankane/pgvector:v0.4.2 # dockerhub
# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/pgvector:v0.4.2 # 阿里云
image: ankane/pgvector:v0.4.2
container_name: pg
restart: always
ports:
@@ -19,7 +18,6 @@ services:
- /etc/localtime:/etc/localtime:ro
mongodb:
image: mongo:5.0.18
# image : registry.cn-hangzhou.aliyuncs.com/fastgpt/mongo:5.0.18 # 阿里云
container_name: mongo
restart: always
ports:
@@ -33,20 +31,17 @@ services:
- /root/fastgpt/mongo/logs:/var/log/mongodb
- /etc/localtime:/etc/localtime:ro
fastgpt:
image: ghcr.io/c121914yu/fastgpt:latest # github
# image: c121914yu/fast-gpt:latest # docker hub
# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:latest # 阿里云
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:latest
network_mode: host
restart: always
container_name: fastgpt
environment: # 可选的变量,不需要的话需要去掉
- PORT=3000 # 运行的端口地址,如果不是 3000需要修改成实际地址。
# proxy可选
- AXIOS_PROXY_HOST=127.0.0.1
- AXIOS_PROXY_PORT=7890
# 发送邮箱验证码配置。用的是QQ邮箱。参考 nodeMail 获取MAILE_CODE自行百度。
- MY_MAIL=54545@qq.com
- MAILE_CODE=1234
- MY_MAIL=xxxx@qq.com
- MAILE_CODE=xxxx
# 阿里短信服务(邮箱和短信至少二选一)
- aliAccessKeyId=xxxx
- aliAccessKeySecret=xxxx
@@ -55,27 +50,33 @@ services:
# google V3 安全校验(可选)
- CLIENT_GOOGLE_VER_TOKEN=xxx
- SERVICE_GOOGLE_VER_TOKEN=xx
# QA和向量生成最大进程数
- QA_MAX_PROCESS=10
- VECTOR_MAX_PROCESS=10
# token加密凭证随便填作为登录凭证
- TOKEN_KEY=xxxx
# root key, 最高权限,可以内部接口互相调用
- ROOT_KEY=xxx
# 是否进行内容安全校验(1: 开启0: 关闭)
- SENSITIVE_CHECK=1
# 和上方mongo镜像的username,password对应
- MONGODB_URI=mongodb://username:password@0.0.0.0:27017/?authSource=admin
- MONGODB_NAME=fastgpt
- PG_HOST=0.0.0.0
- PG_PORT=8100
# 和上方PG镜像对应.
- PG_USER=fastgpt
- PG_PASSWORD=1234
- PG_DB_NAME=fastgpt
- PG_USER=fastgpt # POSTGRES_USER
- PG_PASSWORD=1234 # POSTGRES_PASSWORD
- PG_DB_NAME=fastgpt # POSTGRES_DB
# openai
# 对话用的key多个key逗号分开
- OPENAIKEY=sk-xxxxx,sk-xxx
# 训练用的key
- OPENAI_TRAINING_KEY=sk-xxx,sk-xxxx
- OPENAIKEY=sk-xxxxx,sk-xxx # 对话用的key多个key逗号分开
- OPENAI_TRAINING_KEY=sk-xxx,sk-xxxx # 训练用的key
- GPT4KEY=sk-xxx
- OPENAI_BASE_URL=https://api.openai.com/v1
- OPENAI_BASE_URL_AUTH=可选的安全凭证
# claude
- CLAUDE_BASE_URL=calude模型请求地址
- CLAUDE_KEY=CLAUDE_KEY
nginx:
image: nginx:alpine3.17
container_name: nginx

View File

@@ -16,6 +16,6 @@ CREATE TABLE IF NOT EXISTS modelData (
-- CREATE INDEX IF NOT EXISTS modelData_userId_index ON modelData USING HASH (user_id);
-- CREATE INDEX IF NOT EXISTS modelData_kbId_index ON modelData USING HASH (kb_id);
-- CREATE INDEX IF NOT EXISTS idx_model_data_md5_q_a_user_id_kb_id ON modelData (md5(q), md5(a), user_id, kb_id);
-- CREATE INDEX modeldata_id_desc_idx ON modeldata (id DESC);
-- vector 索引,可以参考 [pg vector](https://github.com/pgvector/pgvector) 去配置,根据数据量去配置
-- CREATE INDEX IF NOT EXISTS vector_index ON modelData USING ivfflat (vector vector_cosine_ops) WITH (lists = 1000);
-- vector 索引,可以pg vector 去配置,根据数据量去配置
EOSQL

View File

@@ -82,13 +82,13 @@ CREATE TABLE modelData (
vector VECTOR(1536),
status VARCHAR(50) NOT NULL,
user_id VARCHAR(50) NOT NULL,
kb_id VARCHAR(50) NOT NULL,
model_id VARCHAR(50) NOT NULL,
q TEXT NOT NULL,
a TEXT NOT NULL
);
-- create index
CREATE INDEX modelData_status_index ON modelData (status);
CREATE INDEX modelData_kbId_index ON modelData (kb_id);
CREATE INDEX modelData_modelId_index ON modelData (model_id);
CREATE INDEX modelData_userId_index ON modelData (user_id);
EOSQL
```

View File

@@ -1,31 +0,0 @@
# 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

View File

@@ -6,15 +6,44 @@
复制.env.template 文件,生成一个.env.local 环境变量文件夹,修改.env.local 里内容。
```bash
# proxy可选
AXIOS_PROXY_HOST=127.0.0.1
AXIOS_PROXY_PORT=7890
# email
MY_MAIL=xxx@qq.com
MAILE_CODE=xxx
# ali ems
aliAccessKeyId=xxx
aliAccessKeySecret=xxx
aliSignName=xxx
aliTemplateCode=SMS_xxx
# token
TOKEN_KEY=xxx
# root key, 最高权限
ROOT_KEY=xxx
# 是否进行安全校验(1: 开启0: 关闭)
SENSITIVE_CHECK=1
# openai
# OPENAI_BASE_URL=https://api.openai.com/v1
# OPENAI_BASE_URL_AUTH=可选的安全凭证(不需要的时候,记得去掉)
OPENAIKEY=sk-xxx # 对话用的key
OPENAI_TRAINING_KEY=sk-xxx # 训练用的key
GPT4KEY=sk-xxx
# claude
CLAUDE_BASE_URL=calude模型请求地址
CLAUDE_KEY=CLAUDE_KEY
# db
MONGODB_URI=mongodb://username:password@0.0.0.0:27017/test?authSource=admin
PG_HOST=0.0.0.0
PG_PORT=8100
PG_USER=xxx
PG_PASSWORD=xxx
PG_DB_NAME=xxx
```
## 运行
```
pnpm dev
```
## 镜像打包
```bash
# 代理可选,不需要的去掉
docker build -t registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:latest . --network host --build-arg HTTP_PROXY=http://127.0.0.1:7890 --build-arg HTTPS_PROXY=http://127.0.0.1:7890
```

View File

@@ -3,16 +3,86 @@
"version": "3.7",
"private": true,
"scripts": {
"dev": "next dev",
"build": "next build",
"start": "next start",
"lint": "next lint",
"prepare": "husky install",
"format": "prettier --config \"./.prettierrc.js\" --write \"./**/src/**/*.{ts,tsx,scss}\""
"format": "prettier --config \"./.prettierrc.js\" --write \"./src/**/*.{ts,tsx,scss}\""
},
"dependencies": {
"@alicloud/dysmsapi20170525": "^2.0.23",
"@alicloud/openapi-client": "^0.4.5",
"@alicloud/tea-util": "^1.4.5",
"@chakra-ui/icons": "^2.0.17",
"@chakra-ui/react": "^2.5.1",
"@chakra-ui/system": "^2.5.5",
"@dqbd/tiktoken": "^1.0.6",
"@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",
"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-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",
"husky": "^8.0.3",
"lint-staged": "^13.2.1",
"prettier": "^2.8.7"
"lint-staged": "^13.1.2",
"prettier": "^2.8.4",
"typescript": "4.9.5"
},
"lint-staged": {
"./**/**/*.{ts,tsx,scss}": "npm run format"
"./src/**/*.{ts,tsx,scss}": "npm run format"
},
"engines": {
"node": ">=18.0.0"

11530
pnpm-lock.yaml generated

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View File

@@ -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 | 免费 |
| 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) |

View File

@@ -15,12 +15,11 @@ FastGpt 项目完全开源,可随意私有化部署,去除平台风险忧虑
### 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。
如果使用了自己的 Api Key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 | 0.022 |
| chatgpt16K - 对话 | 0.025 |
| 知识库 - 索引 | 免费 |
| chatgpt - 对话 | 0.025 |
| gpt4 - 对话 | 0.5 |
| 文件拆分 | 0.025 |

View File

@@ -0,0 +1,10 @@
### Fast GPT V3.8.1
1. 新增 - 自定义历史记录标题。
2. 新增 - 置顶历史记录。
3. 新增 - 自动置顶最近聊天的模型。
4. 优化 - 索引和 QA 队列,支持多节点和并发(目前线上大概 2500 条/分钟)
5. 优化 - 随机任务,不再按线性等待。
6. 优化 - 内容分段导入和进度查看,不再担心大文件无法导入
7. 优化 - 导出的 csv 大小。最大支持 100M 导出。
8. 知识库数量说明,由于线上数据太多,没法创建索引,所以目前如果超过 5w 组数据,大概率会失败。

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