Compare commits
2 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
c7f0db0811 | ||
|
|
c16d59671f |
31
.env.template
Normal file
@@ -0,0 +1,31 @@
|
||||
# proxy
|
||||
# AXIOS_PROXY_HOST=127.0.0.1
|
||||
# AXIOS_PROXY_PORT=7890
|
||||
# 是否开启队列任务。 1-开启,0-关闭(请求parentUrl去执行任务,单机时直接填1)
|
||||
queueTask=1
|
||||
parentUrl=https://hostname/api/openapi/startEvents
|
||||
# email
|
||||
MY_MAIL=xxx@qq.com
|
||||
MAILE_CODE=xxx
|
||||
# ali ems
|
||||
aliAccessKeyId=xxx
|
||||
aliAccessKeySecret=xxx
|
||||
aliSignName=xxx
|
||||
aliTemplateCode=SMS_xxx
|
||||
# token
|
||||
TOKEN_KEY=xxx
|
||||
# openai
|
||||
# OPENAI_BASE_URL=https://api.openai.com/v1
|
||||
# OPENAI_BASE_URL_AUTH=可选的安全凭证
|
||||
OPENAIKEY=sk-xxx
|
||||
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
|
||||
77
.github/workflows/image.yml
vendored
@@ -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
@@ -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
@@ -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/
|
||||
6
.vscode/settings.json
vendored
@@ -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"
|
||||
}
|
||||
@@ -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)
|
||||
@@ -53,8 +52,6 @@ COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static
|
||||
|
||||
USER nextjs
|
||||
|
||||
ENV PORT=3000
|
||||
|
||||
EXPOSE 3000
|
||||
|
||||
CMD ["node", "server.js"]
|
||||
47
Makefile
Normal file
@@ -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
|
||||
23
README.md
@@ -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。并且 OpenAPI Chat 接口兼容 OpenAI 接口,意味着你只需修改 BaseUrl 和 Authorization 即可在已有项目基础上接入 FastGpt!
|
||||
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)
|
||||
|
||||

|
||||
|
||||
@@ -21,9 +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)
|
||||
- [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)
|
||||
[docker-compose 部署教程](docs/deploy/docker.md)
|
||||
|
||||
## :point_right: RoadMap
|
||||
|
||||
@@ -31,23 +29,16 @@ Fast GPT 允许你使用自己的 openai API KEY 来快速的调用 openai 接
|
||||
|
||||
## 🏘️ 交流群
|
||||
|
||||
添加 wx 进入:
|
||||

|
||||
wx: fastgpt123
|
||||

|
||||
|
||||
## 👀 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/)
|
||||
|
||||
## Powered by
|
||||
|
||||
- [TuShan 5 分钟搭建后台管理系统](https://github.com/msgbyte/tushan)
|
||||
- [Laf 3 分钟快速接入三方应用](https://github.com/labring/laf)
|
||||
- [Sealos 快速部署集群应用](https://github.com/labring/sealos)
|
||||
|
||||
## 🌟 Star History
|
||||
|
||||
[](https://star-history.com/#c121914yu/FastGPT&Date)
|
||||
|
||||
@@ -1,11 +0,0 @@
|
||||
Dockerfile
|
||||
.dockerignore
|
||||
node_modules
|
||||
npm-debug.log
|
||||
README.md
|
||||
.git
|
||||
|
||||
.yalc/
|
||||
yalc.lock
|
||||
testApi/
|
||||
node_modules
|
||||
@@ -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
@@ -1 +0,0 @@
|
||||
node_modules/
|
||||
@@ -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"]
|
||||
201
admin/LICENSE
@@ -1,201 +0,0 @@
|
||||
Apache License
|
||||
Version 2.0, January 2004
|
||||
http://www.apache.org/licenses/
|
||||
|
||||
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
|
||||
|
||||
1. Definitions.
|
||||
|
||||
"License" shall mean the terms and conditions for use, reproduction,
|
||||
and distribution as defined by Sections 1 through 9 of this document.
|
||||
|
||||
"Licensor" shall mean the copyright owner or entity authorized by
|
||||
the copyright owner that is granting the License.
|
||||
|
||||
"Legal Entity" shall mean the union of the acting entity and all
|
||||
other entities that control, are controlled by, or are under common
|
||||
control with that entity. For the purposes of this definition,
|
||||
"control" means (i) the power, direct or indirect, to cause the
|
||||
direction or management of such entity, whether by contract or
|
||||
otherwise, or (ii) ownership of fifty percent (50%) or more of the
|
||||
outstanding shares, or (iii) beneficial ownership of such entity.
|
||||
|
||||
"You" (or "Your") shall mean an individual or Legal Entity
|
||||
exercising permissions granted by this License.
|
||||
|
||||
"Source" form shall mean the preferred form for making modifications,
|
||||
including but not limited to software source code, documentation
|
||||
source, and configuration files.
|
||||
|
||||
"Object" form shall mean any form resulting from mechanical
|
||||
transformation or translation of a Source form, including but
|
||||
not limited to compiled object code, generated documentation,
|
||||
and conversions to other media types.
|
||||
|
||||
"Work" shall mean the work of authorship, whether in Source or
|
||||
Object form, made available under the License, as indicated by a
|
||||
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APPENDIX: How to apply the Apache License to your work.
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To apply the Apache License to your work, attach the following
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See the License for the specific language governing permissions and
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limitations under the License.
|
||||
@@ -1,43 +0,0 @@
|
||||
# FastGpt Admin
|
||||
|
||||
## 项目原理
|
||||
|
||||
使用 [Tushan](https://tushan.msgbyte.com/) 项目做前端,然后构造了一个与 mongodb 做沟通的 API 做后端,可以做到创建、修改和删除用户
|
||||
|
||||
## 开发
|
||||
|
||||
1. `cp .env.template .env.local`: 复制 .env.template 文件,添加环境变量
|
||||
2. `pnpm i`
|
||||
3. `pnpm dev`
|
||||
4. 打开 `http://localhost:5173/` 访问前端页面
|
||||
|
||||
## 部署
|
||||
|
||||
1. 本地打包
|
||||
|
||||
`docker build -t registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-admin:latest . --network host --build-arg HTTP_PROXY=http://127.0.0.1:7890 --build-arg HTTPS_PROXY=http://127.0.0.1:7890`
|
||||
|
||||
2. 直接拉镜像: `registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-admin:latest`
|
||||
3. 部署时候填写环境变量: 数据库同 FastGpt 一致
|
||||
|
||||
```
|
||||
MONGODB_URI=mongodb://username:psw@0.0.0.0:27017/?authSource=admin
|
||||
MONGODB_NAME=fastgpt
|
||||
ADMIN_USER=username
|
||||
ADMIN_PASS=password
|
||||
ADMIN_SECRET=any
|
||||
PARENT_URL=http://localhost:3000
|
||||
PARENT_ROOT_KEY=rootkey
|
||||
```
|
||||
|
||||
## sealos 部署
|
||||
|
||||
1. 进入 sealos 官网: https://cloud.sealos.io/
|
||||
2. 打开 App Launchpad(应用管理) 工具
|
||||
3. 新建应用
|
||||
1. 镜像名: `registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-admin:latest`
|
||||
2. 容器端口: 3001
|
||||
3. 环境变量: 参考上面
|
||||
4. 打开外网访问开关
|
||||
4. 点击部署。 完成后大约等待 1 分钟,
|
||||
5. 点击 sealos 提供的外网访问地址,可以直接访问。
|
||||
@@ -1,13 +0,0 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="UTF-8" />
|
||||
<link rel="icon" type="image/svg+xml" href="/logo.svg" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||
<title>Fast GPT</title>
|
||||
</head>
|
||||
<body>
|
||||
<div id="root"></div>
|
||||
<script type="module" src="/src/main.tsx"></script>
|
||||
</body>
|
||||
</html>
|
||||
@@ -1,42 +0,0 @@
|
||||
{
|
||||
"name": "kbgpt-deafult",
|
||||
"private": true,
|
||||
"version": "0.0.0",
|
||||
"type": "module",
|
||||
"author": "anonymous",
|
||||
"scripts": {
|
||||
"dev": "concurrently \"vite\" \"npm run start:api\"",
|
||||
"build": "tsc && vite build",
|
||||
"preview": "vite preview",
|
||||
"start:api": "nodemon server.js"
|
||||
},
|
||||
"dependencies": {
|
||||
"@arco-design/web-react": "^2.49.1",
|
||||
"concurrently": "^8.1.0",
|
||||
"cors": "^2.8.5",
|
||||
"crypto": "^1.0.1",
|
||||
"dayjs": "^1.11.8",
|
||||
"dotenv": "^16.1.4",
|
||||
"express": "^4.18.2",
|
||||
"jsonwebtoken": "^9.0.0",
|
||||
"mongoose": "^7.2.2",
|
||||
"nodemon": "^2.0.22",
|
||||
"react": "^18.2.0",
|
||||
"react-admin": "^4.11.0",
|
||||
"react-dom": "^18.2.0",
|
||||
"react-i18next": "^12.3.1",
|
||||
"tushan": "^0.2.30"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@types/jsonexport": "^3.0.2",
|
||||
"@types/lodash-es": "^4.17.7",
|
||||
"@types/node": "^20.2.5",
|
||||
"@types/react": "^18.0.28",
|
||||
"@types/react-dom": "^18.0.11",
|
||||
"@types/react-helmet": "^6.1.6",
|
||||
"@types/styled-components": "^5.1.26",
|
||||
"@vitejs/plugin-react": "^3.1.0",
|
||||
"typescript": "^4.9.2",
|
||||
"vite": "^4.2.1"
|
||||
}
|
||||
}
|
||||
6380
admin/pnpm-lock.yaml
generated
@@ -1,10 +0,0 @@
|
||||
<svg width="512" height="512" viewBox="0 0 512 512" fill="none" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="M28 88L49.5 57L118.5 29.5L248 51L323.5 122.5L360.5 324L301 421.5L164.5 412.5L118.5 324L127.5 225.5L143.5 184.5L151.5 130.5L127.5 95L82.5 80L49.5 95L28 88Z" fill="#DFDFDF"/>
|
||||
<path d="M144.734 22.04C139.186 22.0047 133.638 22.1568 128.1 22.496C84.33 25.196 40.5 49 24.238 67.492C7.97598 85.984 4 91.601 4 91.601C4 91.601 34.922 98.392 57 97.5C79.078 96.608 111.355 88.82 127.692 104.564C144.032 120.309 151.428 146.017 135.232 175.709C116.062 210.852 102.516 271.862 115.086 332.235C127.656 392.609 168.054 451.995 254.814 478.007C288.29 488.043 333.639 494.757 376.459 485.673C420.966 476.885 472.309 450.915 483.351 422.563C474.101 431.448 463.911 437.703 453.149 442.353C471.455 421.433 484.884 392.621 489.939 354.179L492.469 334.939L476.147 345.435C465.644 352.19 455.562 358.838 446.054 363.831C448.692 357.959 451.092 350.611 453.784 341.054C442.687 356.244 430.054 366.409 415.186 372.526C405.952 372.023 396.833 367.659 385.976 356.429C374.618 344.682 367.856 324.334 363.513 298.763C359.169 273.191 357.053 242.836 352.845 211.886C344.425 149.984 326.933 84.013 263.105 50.851C226.15 31.651 184.013 22.274 144.733 22.038L144.734 22.04ZM144.611 40.05C181.073 40.305 220.721 49.115 254.808 66.824C311.201 96.124 326.802 153.964 335.011 214.312C339.115 244.487 341.197 274.866 345.769 301.777C347.085 309.53 348.604 317.019 350.462 324.162C335.014 324.202 323.208 315.855 308.758 299.445C316.143 329.855 320.748 335.979 334.463 354.995C306.243 346.76 273.823 320.255 253.513 290.932C250.239 330.979 273.736 362.506 286.788 374.862C261.612 360.666 226.075 333.326 202.165 286.207C201.149 327.633 214.095 373.939 238.615 402.672C204.1 391.136 173.645 303.2 153.195 275.039C140.155 308.256 150.247 364.124 169.267 405.161C149.639 382.323 138.38 355.786 132.712 328.565C121.188 273.223 134.462 214.718 151.037 184.327C170.587 148.485 161.952 112.577 140.187 91.601C118.419 70.625 66 81 53.633 83.286C41.266 85.572 31 83.286 31 83.286C31 83.286 41.3371 75.1684 48 70C74.6656 49.3155 88.786 42.954 129.211 40.461C134.263 40.149 139.406 40.011 144.614 40.047L144.611 40.05Z" fill="url(#paint0_linear_1104_3)"/>
|
||||
<defs>
|
||||
<linearGradient id="paint0_linear_1104_3" x1="384.5" y1="480" x2="256" y2="256" gradientUnits="userSpaceOnUse">
|
||||
<stop stop-color="#FF6011"/>
|
||||
<stop offset="1" stop-color="#FF9411"/>
|
||||
</linearGradient>
|
||||
</defs>
|
||||
</svg>
|
||||
|
Before Width: | Height: | Size: 2.4 KiB |
@@ -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}`);
|
||||
});
|
||||
@@ -1,87 +0,0 @@
|
||||
import { Model, Kb } from '../schema.js';
|
||||
import { auth } from './system.js';
|
||||
|
||||
export const useAppRoute = (app) => {
|
||||
// 获取AI助手列表
|
||||
app.get('/models', auth(), async (req, res) => {
|
||||
try {
|
||||
const start = parseInt(req.query._start) || 0;
|
||||
const end = parseInt(req.query._end) || 20;
|
||||
const order = req.query._order === 'DESC' ? -1 : 1;
|
||||
const sort = req.query._sort;
|
||||
const name = req.query.name || '';
|
||||
const id = req.query.id || '';
|
||||
|
||||
const where = {
|
||||
...(name && { name: { $regex: name, $options: 'i' } }),
|
||||
...(id && { _id: id })
|
||||
};
|
||||
|
||||
const modelsRaw = await Model.find(where)
|
||||
.skip(start)
|
||||
.limit(end - start)
|
||||
.sort({ [sort]: order, 'share.isShare': -1, 'share.collection': -1 });
|
||||
|
||||
const models = [];
|
||||
|
||||
for (const modelRaw of modelsRaw) {
|
||||
const model = modelRaw.toObject();
|
||||
|
||||
// 获取与模型关联的知识库名称
|
||||
const kbNames = [];
|
||||
for (const kbId of model.chat.relatedKbs) {
|
||||
const kb = await Kb.findById(kbId);
|
||||
kbNames.push(kb.name);
|
||||
}
|
||||
|
||||
const orderedModel = {
|
||||
id: model._id.toString(),
|
||||
userId: model.userId,
|
||||
name: model.name,
|
||||
intro: model.intro,
|
||||
model: model.chat?.chatModel,
|
||||
relatedKbs: kbNames, // 将relatedKbs的id转换为相应的Kb名称
|
||||
systemPrompt: model.chat?.systemPrompt || '',
|
||||
temperature: model.chat?.temperature || 0,
|
||||
'share.topNum': model.share?.topNum || 0,
|
||||
'share.isShare': model.share?.isShare || false,
|
||||
'share.collection': model.share?.collection || 0
|
||||
};
|
||||
|
||||
models.push(orderedModel);
|
||||
}
|
||||
const totalCount = await Model.countDocuments(where);
|
||||
res.header('Access-Control-Expose-Headers', 'X-Total-Count');
|
||||
res.header('X-Total-Count', totalCount);
|
||||
res.json(models);
|
||||
} catch (err) {
|
||||
console.log(`Error fetching models: ${err}`);
|
||||
res.status(500).json({ error: 'Error fetching models', details: err.message });
|
||||
}
|
||||
});
|
||||
|
||||
// 修改 app 信息
|
||||
app.put('/models/:id', auth(), async (req, res) => {
|
||||
try {
|
||||
const _id = req.params.id;
|
||||
|
||||
let {
|
||||
share: { isShare, topNum },
|
||||
intro
|
||||
} = req.body;
|
||||
|
||||
await Model.findByIdAndUpdate(_id, {
|
||||
$set: {
|
||||
intro: intro,
|
||||
'share.topNum': Number(topNum),
|
||||
'share.isShare': isShare === 'true' || isShare === true
|
||||
}
|
||||
});
|
||||
|
||||
res.json({});
|
||||
} catch (err) {
|
||||
console.log(`Error updating user: ${err}`);
|
||||
res.status(500).json({ error: 'Error updating user' });
|
||||
}
|
||||
});
|
||||
};
|
||||
@@ -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: ${err}`);
|
||||
res.status(500).json({ error: 'Error fetching kbs', details: err.message });
|
||||
}
|
||||
});
|
||||
};
|
||||
@@ -1,133 +0,0 @@
|
||||
import jwt from 'jsonwebtoken';
|
||||
import { System } from '../schema.js';
|
||||
|
||||
const adminAuth = {
|
||||
username: process.env.ADMIN_USER,
|
||||
password: process.env.ADMIN_PASS
|
||||
};
|
||||
const authSecret = process.env.ADMIN_SECRET;
|
||||
|
||||
const postParent = () => {
|
||||
fetch(`${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));
|
||||
}
|
||||
};
|
||||
};
|
||||
@@ -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 });
|
||||
}
|
||||
});
|
||||
};
|
||||
@@ -1,111 +0,0 @@
|
||||
import mongoose from 'mongoose';
|
||||
import dotenv from 'dotenv';
|
||||
|
||||
dotenv.config({ path: '.env.local' });
|
||||
|
||||
const mongoUrl = process.env.MONGODB_URI;
|
||||
const mongoDBName = process.env.MONGODB_NAME;
|
||||
|
||||
if (!mongoUrl || !mongoDBName) {
|
||||
throw new Error('db error');
|
||||
}
|
||||
|
||||
mongoose
|
||||
.connect(mongoUrl, {
|
||||
dbName: mongoDBName,
|
||||
bufferCommands: true,
|
||||
maxPoolSize: 5,
|
||||
minPoolSize: 1,
|
||||
maxConnecting: 5
|
||||
})
|
||||
.then(() => console.log('Connected to MongoDB successfully!'))
|
||||
.catch((err) => console.log(`Error connecting to MongoDB: ${err}`));
|
||||
|
||||
const userSchema = new mongoose.Schema({
|
||||
_id: mongoose.Schema.Types.ObjectId,
|
||||
username: String,
|
||||
password: String,
|
||||
balance: Number,
|
||||
promotion: {
|
||||
rate: Number
|
||||
},
|
||||
openaiKey: String,
|
||||
avatar: String,
|
||||
createTime: Date
|
||||
});
|
||||
|
||||
// 新增: 定义 pays 模型
|
||||
const paySchema = new mongoose.Schema({
|
||||
_id: mongoose.Schema.Types.ObjectId,
|
||||
userId: mongoose.Schema.Types.ObjectId,
|
||||
price: Number,
|
||||
orderId: String,
|
||||
status: String,
|
||||
createTime: Date,
|
||||
__v: Number
|
||||
});
|
||||
|
||||
// 新增: 定义 kb 模型
|
||||
const kbSchema = new mongoose.Schema({
|
||||
_id: mongoose.Schema.Types.ObjectId,
|
||||
userId: mongoose.Schema.Types.ObjectId,
|
||||
avatar: String,
|
||||
name: String,
|
||||
tags: [String],
|
||||
updateTime: Date,
|
||||
__v: Number
|
||||
});
|
||||
|
||||
const modelSchema = new mongoose.Schema({
|
||||
userId: mongoose.Schema.Types.ObjectId,
|
||||
name: String,
|
||||
avatar: String,
|
||||
status: String,
|
||||
intro: String,
|
||||
chat: {
|
||||
relatedKbs: [mongoose.Schema.Types.ObjectId],
|
||||
systemPrompt: String,
|
||||
temperature: Number,
|
||||
chatModel: String
|
||||
},
|
||||
share: {
|
||||
topNum: Number,
|
||||
isShare: Boolean,
|
||||
isShareDetail: Boolean,
|
||||
intro: String,
|
||||
collection: Number
|
||||
},
|
||||
security: {
|
||||
domain: [String],
|
||||
contextMaxLen: Number,
|
||||
contentMaxLen: Number,
|
||||
expiredTime: Number,
|
||||
maxLoadAmount: Number
|
||||
},
|
||||
updateTime: Date
|
||||
});
|
||||
|
||||
const SystemSchema = new mongoose.Schema({
|
||||
vectorMaxProcess: {
|
||||
type: Number,
|
||||
default: 10
|
||||
},
|
||||
qaMaxProcess: {
|
||||
type: Number,
|
||||
default: 10
|
||||
},
|
||||
pgIvfflatProbe: {
|
||||
type: Number,
|
||||
default: 10
|
||||
},
|
||||
sensitiveCheck: {
|
||||
type: Boolean,
|
||||
default: false
|
||||
}
|
||||
});
|
||||
|
||||
export const Model = mongoose.models['model'] || mongoose.model('model', modelSchema);
|
||||
export const Kb = mongoose.models['kb'] || mongoose.model('kb', kbSchema);
|
||||
export const User = mongoose.models['user'] || mongoose.model('user', userSchema);
|
||||
export const Pay = mongoose.models['pay'] || mongoose.model('pay', paySchema);
|
||||
export const System = mongoose.models['system'] || mongoose.model('system', SystemSchema);
|
||||
@@ -1,140 +0,0 @@
|
||||
import {
|
||||
createTextField,
|
||||
jsonServerProvider,
|
||||
ListTable,
|
||||
Resource,
|
||||
Tushan,
|
||||
fetchJSON,
|
||||
TushanContextProps,
|
||||
HTTPClient
|
||||
} from 'tushan';
|
||||
import { authProvider } from './auth';
|
||||
import { userFields, payFields, kbFields, ModelFields, SystemFields } from './fields';
|
||||
import { Dashboard } from './Dashboard';
|
||||
import { IconUser, IconApps, IconBook, IconStamp } from 'tushan/icon';
|
||||
import { i18nZhTranslation } from 'tushan/client/i18n/resources/zh';
|
||||
|
||||
const authStorageKey = 'tushan:auth';
|
||||
|
||||
const httpClient: HTTPClient = (url, options = {}) => {
|
||||
try {
|
||||
if (!options.headers) {
|
||||
options.headers = new Headers({ Accept: 'application/json' });
|
||||
}
|
||||
const { token } = JSON.parse(window.localStorage.getItem(authStorageKey) ?? '{}');
|
||||
(options.headers as Headers).set('Authorization', `Bearer ${token}`);
|
||||
|
||||
return fetchJSON(url, options);
|
||||
} catch (err) {
|
||||
return Promise.reject();
|
||||
}
|
||||
};
|
||||
|
||||
const dataProvider = jsonServerProvider(import.meta.env.VITE_PUBLIC_SERVER_URL, httpClient);
|
||||
|
||||
const i18n: TushanContextProps['i18n'] = {
|
||||
languages: [
|
||||
{
|
||||
key: 'zh',
|
||||
label: '简体中文',
|
||||
translation: i18nZhTranslation
|
||||
}
|
||||
]
|
||||
};
|
||||
|
||||
function App() {
|
||||
return (
|
||||
<Tushan
|
||||
basename="/"
|
||||
header={'FastGpt-Admin'}
|
||||
i18n={i18n}
|
||||
dataProvider={dataProvider}
|
||||
authProvider={authProvider}
|
||||
dashboard={<Dashboard />}
|
||||
>
|
||||
<Resource
|
||||
name="users"
|
||||
label="用户信息"
|
||||
icon={<IconUser />}
|
||||
list={
|
||||
<ListTable
|
||||
filter={[
|
||||
createTextField('username', {
|
||||
label: 'username'
|
||||
})
|
||||
]}
|
||||
fields={userFields}
|
||||
action={{ detail: true, edit: true }}
|
||||
/>
|
||||
}
|
||||
/>
|
||||
<Resource
|
||||
name="models"
|
||||
icon={<IconApps />}
|
||||
label="应用"
|
||||
list={
|
||||
<ListTable
|
||||
filter={[
|
||||
createTextField('id', {
|
||||
label: 'id'
|
||||
}),
|
||||
createTextField('name', {
|
||||
label: 'name'
|
||||
})
|
||||
]}
|
||||
fields={ModelFields}
|
||||
action={{ detail: true, edit: true }}
|
||||
/>
|
||||
}
|
||||
/>
|
||||
<Resource
|
||||
name="pays"
|
||||
label="支付记录"
|
||||
icon={<IconStamp />}
|
||||
list={
|
||||
<ListTable
|
||||
filter={[
|
||||
createTextField('userId', {
|
||||
label: 'userId'
|
||||
})
|
||||
]}
|
||||
fields={payFields}
|
||||
action={{ detail: true }}
|
||||
/>
|
||||
}
|
||||
/>
|
||||
<Resource
|
||||
name="kbs"
|
||||
label="知识库"
|
||||
icon={<IconBook />}
|
||||
list={
|
||||
<ListTable
|
||||
filter={[
|
||||
createTextField('name', {
|
||||
label: 'name'
|
||||
}),
|
||||
createTextField('tag', {
|
||||
label: 'tag'
|
||||
})
|
||||
]}
|
||||
fields={kbFields}
|
||||
action={{ detail: true }}
|
||||
/>
|
||||
}
|
||||
/>
|
||||
|
||||
<Resource
|
||||
name="system"
|
||||
label="系统"
|
||||
list={
|
||||
<ListTable
|
||||
fields={SystemFields}
|
||||
action={{ detail: true, edit: true, create: true, delete: true }}
|
||||
/>
|
||||
}
|
||||
/>
|
||||
</Tushan>
|
||||
);
|
||||
}
|
||||
|
||||
export default App;
|
||||
@@ -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>
|
||||
);
|
||||
};
|
||||
@@ -1,5 +0,0 @@
|
||||
import { createAuthProvider, type AuthProvider } from 'tushan';
|
||||
|
||||
export const authProvider: AuthProvider = createAuthProvider({
|
||||
loginUrl: `${import.meta.env.VITE_PUBLIC_SERVER_URL}/api/login`
|
||||
});
|
||||
@@ -1,52 +0,0 @@
|
||||
import { createTextField, createNumberField } from 'tushan';
|
||||
|
||||
export const userFields = [
|
||||
createTextField('id', { label: 'ID' }),
|
||||
createTextField('username', { label: '用户名', edit: { hidden: true } }),
|
||||
createNumberField('balance', { label: '余额', list: { sort: true } }),
|
||||
createTextField('createTime', { label: 'Create Time', list: { sort: true } }),
|
||||
createTextField('password', { label: '密码', list: { hidden: true } })
|
||||
];
|
||||
|
||||
export const payFields = [
|
||||
createTextField('id', { label: 'ID' }),
|
||||
createTextField('userId', { label: '用户Id' }),
|
||||
createNumberField('price', { label: '支付金额' }),
|
||||
createTextField('orderId', { label: 'orderId' }),
|
||||
createTextField('status', { label: '状态' }),
|
||||
createTextField('createTime', { label: 'Create Time', list: { sort: true } })
|
||||
];
|
||||
|
||||
export const kbFields = [
|
||||
createTextField('id', { label: 'ID' }),
|
||||
createTextField('userId', { label: '所属用户', edit: { hidden: true } }),
|
||||
createTextField('name', { label: '知识库' }),
|
||||
createTextField('tags', { label: 'Tags' })
|
||||
];
|
||||
|
||||
export const ModelFields = [
|
||||
createTextField('id', { label: 'ID' }),
|
||||
createTextField('userId', { label: '所属用户', list: { hidden: true }, edit: { hidden: true } }),
|
||||
createTextField('name', { label: '名字' }),
|
||||
createTextField('model', { label: '模型', edit: { hidden: true } }),
|
||||
createTextField('share.collection', { label: '收藏数', list: { sort: true } }),
|
||||
createTextField('share.topNum', { label: '置顶等级', list: { sort: true } }),
|
||||
createTextField('share.isShare', { label: '是否分享(true,false)' }),
|
||||
createTextField('intro', { label: '介绍', list: { width: 400 } }),
|
||||
createTextField('relatedKbs', { label: '引用的知识库', list: { hidden: true } }),
|
||||
createTextField('temperature', { label: '温度' }),
|
||||
createTextField('systemPrompt', {
|
||||
label: '提示词',
|
||||
list: {
|
||||
width: 400,
|
||||
hidden: true
|
||||
}
|
||||
})
|
||||
];
|
||||
|
||||
export const SystemFields = [
|
||||
createTextField('vectorMaxProcess', { label: '向量最大进程' }),
|
||||
createTextField('qaMaxProcess', { label: 'qa最大进程' }),
|
||||
createTextField('pgIvfflatProbe', { label: 'pg 探针数量' }),
|
||||
createTextField('sensitiveCheck', { label: '敏感词校验(true,false)' })
|
||||
];
|
||||
@@ -1,5 +0,0 @@
|
||||
import React from 'react';
|
||||
import ReactDOM from 'react-dom/client';
|
||||
import App from './App';
|
||||
|
||||
ReactDOM.createRoot(document.getElementById('root') as HTMLElement).render(<App />);
|
||||
1
admin/src/vite-env.d.ts
vendored
@@ -1 +0,0 @@
|
||||
/// <reference types="vite/client" />
|
||||
@@ -1,21 +0,0 @@
|
||||
{
|
||||
"compilerOptions": {
|
||||
"target": "ESNext",
|
||||
"useDefineForClassFields": true,
|
||||
"lib": ["DOM", "DOM.Iterable", "ESNext"],
|
||||
"allowJs": false,
|
||||
"skipLibCheck": true,
|
||||
"esModuleInterop": false,
|
||||
"allowSyntheticDefaultImports": true,
|
||||
"strict": true,
|
||||
"forceConsistentCasingInFileNames": true,
|
||||
"module": "ESNext",
|
||||
"moduleResolution": "Node",
|
||||
"resolveJsonModule": true,
|
||||
"isolatedModules": true,
|
||||
"noEmit": true,
|
||||
"jsx": "react-jsx"
|
||||
},
|
||||
"include": ["src"],
|
||||
"references": [{ "path": "./tsconfig.node.json" }]
|
||||
}
|
||||
@@ -1,9 +0,0 @@
|
||||
{
|
||||
"compilerOptions": {
|
||||
"composite": true,
|
||||
"module": "ESNext",
|
||||
"moduleResolution": "Node",
|
||||
"allowSyntheticDefaultImports": true
|
||||
},
|
||||
"include": ["vite.config.ts"]
|
||||
}
|
||||
@@ -1,7 +0,0 @@
|
||||
import { defineConfig } from 'vite';
|
||||
import react from '@vitejs/plugin-react';
|
||||
|
||||
// https://vitejs.dev/config/
|
||||
export default defineConfig({
|
||||
plugins: [react()],
|
||||
});
|
||||
@@ -1,33 +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
|
||||
# database max link
|
||||
DB_MAX_LINK=15
|
||||
# 代理
|
||||
# AXIOS_PROXY_HOST=127.0.0.1
|
||||
# AXIOS_PROXY_PORT=7890
|
||||
# email
|
||||
MY_MAIL=xxxx@qq.com
|
||||
MAILE_CODE=xxxx
|
||||
# ali ems
|
||||
aliAccessKeyId=xxxx
|
||||
aliAccessKeySecret=xxxx
|
||||
aliSignName=xxxx
|
||||
aliTemplateCode=xxxx
|
||||
# token
|
||||
TOKEN_KEY=dfdasfdas
|
||||
# root key, 最高权限
|
||||
ROOT_KEY=fdafasd
|
||||
# 使用 oneapi
|
||||
# ONEAPI_URL=https://xxxx.cloud.sealos.io/v1
|
||||
# ONEAPI_KEY=sk-xxxx
|
||||
# openai 的基本地址(国外的可以忽略,默认走 api.openai.com)。不用 oneapi 的话需要下面 2 个参数,用户的 key 也会走下面的参数
|
||||
OPENAI_BASE_URL=https://xxxx.cloud.sealos.io/openai/v1
|
||||
OPENAIKEY=sk-xxxx
|
||||
# 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
@@ -1,31 +0,0 @@
|
||||
# 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/
|
||||
5
client/next-env.d.ts
vendored
@@ -1,5 +0,0 @@
|
||||
/// <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.
|
||||
@@ -1,84 +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": "^2.7.0",
|
||||
"@chakra-ui/system": "^2.5.8",
|
||||
"@dqbd/tiktoken": "^1.0.7",
|
||||
"@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",
|
||||
"date-fns": "^2.30.0",
|
||||
"dayjs": "^1.11.7",
|
||||
"formidable": "^2.1.1",
|
||||
"framer-motion": "^9.0.6",
|
||||
"hyperdown": "^2.4.29",
|
||||
"immer": "^9.0.19",
|
||||
"jsonwebtoken": "^9.0.0",
|
||||
"lodash": "^4.17.21",
|
||||
"mammoth": "^1.5.1",
|
||||
"mermaid": "^10.2.3",
|
||||
"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": "^3.3.0",
|
||||
"papaparse": "^5.4.1",
|
||||
"pg": "^8.10.0",
|
||||
"react": "18.2.0",
|
||||
"react-day-picker": "^8.7.1",
|
||||
"react-dom": "18.2.0",
|
||||
"react-hook-form": "^7.43.1",
|
||||
"react-markdown": "^8.0.7",
|
||||
"react-syntax-highlighter": "^15.5.0",
|
||||
"rehype-katex": "^6.0.2",
|
||||
"remark-breaks": "^3.0.3",
|
||||
"remark-gfm": "^3.0.1",
|
||||
"remark-math": "^5.1.1",
|
||||
"request-ip": "^3.3.0",
|
||||
"sass": "^1.58.3",
|
||||
"tunnel": "^0.0.6",
|
||||
"wxpay-v3": "^3.0.2",
|
||||
"zustand": "^4.3.5"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@svgr/webpack": "^6.5.1",
|
||||
"@types/cookie": "^0.5.1",
|
||||
"@types/formidable": "^2.0.5",
|
||||
"@types/jsonwebtoken": "^9.0.1",
|
||||
"@types/lodash": "^4.14.191",
|
||||
"@types/node": "18.14.0",
|
||||
"@types/nodemailer": "^6.4.7",
|
||||
"@types/papaparse": "^5.3.7",
|
||||
"@types/pg": "^8.6.6",
|
||||
"@types/react": "18.0.28",
|
||||
"@types/react-dom": "18.0.11",
|
||||
"@types/react-syntax-highlighter": "^15.5.6",
|
||||
"@types/request-ip": "^0.0.37",
|
||||
"@types/tunnel": "^0.0.3",
|
||||
"eslint": "8.34.0",
|
||||
"eslint-config-next": "13.1.6",
|
||||
"typescript": "4.9.5"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18.0.0"
|
||||
}
|
||||
}
|
||||
12210
client/pnpm-lock.yaml
generated
@@ -1,18 +0,0 @@
|
||||
### 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 | 0.015 |
|
||||
| chatgpt16K - 对话 | 0.015 |
|
||||
| gpt4 - 对话 | 0.1 |
|
||||
| 文件拆分 | 0.015 |
|
||||
|
||||
**其他问题**
|
||||
| 交流群 | 小助手 |
|
||||
| ----------------------- | -------------------- |
|
||||
|  |  |
|
||||
@@ -1,7 +0,0 @@
|
||||
### Fast GPT V3.9
|
||||
|
||||
1. 限时优惠活动,更低价的 tokens。
|
||||
2. 新增 - 直接分段训练,可调节段落大小。
|
||||
3. 优化 - tokens 计算性能。
|
||||
4. 优化 - key 池管理,结合 one-api 项目,实现更方便的 key 池管理,具体参考[docker 部署 FastGpt](https://github.com/c121914yu/FastGPT/blob/main/docs/deploy/docker.md)
|
||||
5. 新增 - V2 版 OpenAPI,可以在任意第三方套壳 ChatGpt 项目中直接使用 FastGpt 的应用,注意!是直接,不需要改任何代码。具体参考[API 文档中《在第三方应用中使用 FastGpt》](https://kjqvjse66l.feishu.cn/docx/DmLedTWtUoNGX8xui9ocdUEjnNh)
|
||||
|
Before Width: | Height: | Size: 10 KiB |
|
Before Width: | Height: | Size: 8.3 KiB |
|
Before Width: | Height: | Size: 28 KiB |
|
Before Width: | Height: | Size: 97 KiB |
|
Before Width: | Height: | Size: 8.3 KiB |
@@ -1,8 +0,0 @@
|
||||
var _hmt = _hmt || [];
|
||||
|
||||
(function () {
|
||||
const hm = document.createElement('script');
|
||||
hm.src = 'https://hm.baidu.com/hm.js?a5357e9dab086658bac0b6faf148882e';
|
||||
const s = document.getElementsByTagName('script')[0];
|
||||
s.parentNode.insertBefore(hm, s);
|
||||
})();
|
||||
@@ -1,98 +0,0 @@
|
||||
import { Props, ChatResponseType } from '@/pages/api/openapi/v1/chat/completions';
|
||||
import { sseResponseEventEnum } from '@/constants/chat';
|
||||
import { getErrText } from '@/utils/tools';
|
||||
import { parseStreamChunk } from '@/utils/adapt';
|
||||
|
||||
interface StreamFetchProps {
|
||||
data: Props;
|
||||
onMessage: (text: string) => void;
|
||||
abortSignal: AbortController;
|
||||
}
|
||||
export const streamFetch = ({ data, onMessage, abortSignal }: StreamFetchProps) =>
|
||||
new Promise<ChatResponseType & { responseText: string }>(async (resolve, reject) => {
|
||||
try {
|
||||
const response = await window.fetch('/api/openapi/v1/chat/completions', {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json'
|
||||
},
|
||||
signal: abortSignal.signal,
|
||||
body: JSON.stringify({
|
||||
...data,
|
||||
stream: true
|
||||
})
|
||||
});
|
||||
|
||||
if (response.status !== 200) {
|
||||
const err = await response.json();
|
||||
return reject(err);
|
||||
}
|
||||
|
||||
if (!response?.body) {
|
||||
throw new Error('Request Error');
|
||||
}
|
||||
|
||||
const reader = response.body?.getReader();
|
||||
|
||||
// response data
|
||||
let responseText = '';
|
||||
let newChatId = '';
|
||||
let quoteLen = 0;
|
||||
|
||||
const read = async () => {
|
||||
try {
|
||||
const { done, value } = await reader.read();
|
||||
if (done) {
|
||||
if (response.status === 200) {
|
||||
return resolve({
|
||||
responseText,
|
||||
newChatId,
|
||||
quoteLen
|
||||
});
|
||||
} else {
|
||||
return reject('响应过程出现异常~');
|
||||
}
|
||||
}
|
||||
const chunkResponse = parseStreamChunk(value);
|
||||
|
||||
chunkResponse.forEach((item) => {
|
||||
// parse json data
|
||||
const data = (() => {
|
||||
try {
|
||||
return JSON.parse(item.data);
|
||||
} catch (error) {
|
||||
return item.data;
|
||||
}
|
||||
})();
|
||||
|
||||
if (item.event === sseResponseEventEnum.answer && data !== '[DONE]') {
|
||||
const answer: string = data?.choices?.[0].delta.content || '';
|
||||
onMessage(answer);
|
||||
responseText += answer;
|
||||
} else if (item.event === sseResponseEventEnum.chatResponse) {
|
||||
const chatResponse = data as ChatResponseType;
|
||||
newChatId = chatResponse.newChatId;
|
||||
quoteLen = chatResponse.quoteLen || 0;
|
||||
} else if (item.event === sseResponseEventEnum.error) {
|
||||
return reject(getErrText(data, '流响应错误'));
|
||||
}
|
||||
});
|
||||
read();
|
||||
} catch (err: any) {
|
||||
if (err?.message === 'The user aborted a request.') {
|
||||
return resolve({
|
||||
responseText,
|
||||
newChatId,
|
||||
quoteLen
|
||||
});
|
||||
}
|
||||
reject(getErrText(err, '请求异常'));
|
||||
}
|
||||
};
|
||||
read();
|
||||
} catch (err: any) {
|
||||
console.log(err);
|
||||
|
||||
reject(getErrText(err, '请求异常'));
|
||||
}
|
||||
});
|
||||
@@ -1,44 +0,0 @@
|
||||
import { GET, POST, DELETE, PUT } from './request';
|
||||
import type { ModelSchema } from '@/types/mongoSchema';
|
||||
import type { ModelUpdateParams } from '@/types/model';
|
||||
import { RequestPaging } from '../types/index';
|
||||
import type { ModelListResponse } from './response/model';
|
||||
|
||||
/**
|
||||
* 获取模型列表
|
||||
*/
|
||||
export const getMyModels = () => GET<ModelListResponse>('/model/list');
|
||||
|
||||
/**
|
||||
* 创建一个模型
|
||||
*/
|
||||
export const postCreateModel = (data: { name: string }) => POST<string>('/model/create', data);
|
||||
|
||||
/**
|
||||
* 根据 ID 删除模型
|
||||
*/
|
||||
export const delModelById = (id: string) => DELETE(`/model/del?modelId=${id}`);
|
||||
|
||||
/**
|
||||
* 根据 ID 获取模型
|
||||
*/
|
||||
export const getModelById = (id: string) => GET<ModelSchema>(`/model/detail?modelId=${id}`);
|
||||
|
||||
/**
|
||||
* 根据 ID 更新模型
|
||||
*/
|
||||
export const putModelById = (id: string, data: ModelUpdateParams) =>
|
||||
PUT(`/model/update?modelId=${id}`, data);
|
||||
|
||||
/* 共享市场 */
|
||||
/**
|
||||
* 获取共享市场模型
|
||||
*/
|
||||
export const getShareModelList = (data: { searchText?: string } & RequestPaging) =>
|
||||
POST(`/model/share/getModels`, data);
|
||||
|
||||
/**
|
||||
* 收藏/取消收藏模型
|
||||
*/
|
||||
export const triggerModelCollection = (modelId: string) =>
|
||||
POST<number>(`/model/share/collection?modelId=${modelId}`);
|
||||
@@ -1,93 +0,0 @@
|
||||
import { GET, POST, PUT, DELETE } from '../request';
|
||||
import type { KbItemType } from '@/types/plugin';
|
||||
import { RequestPaging } from '@/types/index';
|
||||
import { TrainingModeEnum } from '@/constants/plugin';
|
||||
import { type QuoteItemType } from '@/pages/api/openapi/kb/appKbSearch';
|
||||
import {
|
||||
Props as PushDataProps,
|
||||
Response as PushDateResponse
|
||||
} from '@/pages/api/openapi/kb/pushData';
|
||||
import {
|
||||
Props as SearchTestProps,
|
||||
Response as SearchTestResponse
|
||||
} from '@/pages/api/openapi/kb/searchTest';
|
||||
|
||||
export type KbUpdateParams = {
|
||||
id: string;
|
||||
name: string;
|
||||
tags: string;
|
||||
avatar: string;
|
||||
};
|
||||
|
||||
/* knowledge base */
|
||||
export const getKbList = () => GET<KbItemType[]>(`/plugins/kb/list`);
|
||||
|
||||
export const getKbById = (id: string) => GET<KbItemType>(`/plugins/kb/detail?id=${id}`);
|
||||
|
||||
export const postCreateKb = (data: { name: string }) => POST<string>(`/plugins/kb/create`, data);
|
||||
|
||||
export const putKbById = (data: KbUpdateParams) => PUT(`/plugins/kb/update`, data);
|
||||
|
||||
export const delKbById = (id: string) => DELETE(`/plugins/kb/delete?id=${id}`);
|
||||
|
||||
/* kb data */
|
||||
type GetKbDataListProps = RequestPaging & {
|
||||
kbId: string;
|
||||
searchText: string;
|
||||
};
|
||||
export const getKbDataList = (data: GetKbDataListProps) =>
|
||||
POST(`/plugins/kb/data/getDataList`, data);
|
||||
|
||||
/**
|
||||
* 获取导出数据(不分页)
|
||||
*/
|
||||
export const getExportDataList = (kbId: string) =>
|
||||
GET<[string, string, string][]>(
|
||||
`/plugins/kb/data/exportModelData`,
|
||||
{ kbId },
|
||||
{
|
||||
timeout: 600000
|
||||
}
|
||||
);
|
||||
|
||||
/**
|
||||
* 获取模型正在拆分数据的数量
|
||||
*/
|
||||
export const getTrainingData = (data: { kbId: string; init: boolean }) =>
|
||||
POST<{
|
||||
qaListLen: number;
|
||||
vectorListLen: number;
|
||||
}>(`/plugins/kb/data/getTrainingData`, data);
|
||||
|
||||
export const getKbDataItemById = (dataId: string) =>
|
||||
GET<QuoteItemType>(`/plugins/kb/data/getDataById`, { dataId });
|
||||
|
||||
/**
|
||||
* 直接push数据
|
||||
*/
|
||||
export const postKbDataFromList = (data: PushDataProps) =>
|
||||
POST<PushDateResponse>(`/openapi/kb/pushData`, data);
|
||||
|
||||
/**
|
||||
* 更新一条数据
|
||||
*/
|
||||
export const putKbDataById = (data: { dataId: string; a: string; q?: string }) =>
|
||||
PUT('/openapi/kb/updateData', data);
|
||||
/**
|
||||
* 删除一条知识库数据
|
||||
*/
|
||||
export const delOneKbDataByDataId = (dataId: string) =>
|
||||
DELETE(`/openapi/kb/delDataById?dataId=${dataId}`);
|
||||
|
||||
/**
|
||||
* 拆分数据
|
||||
*/
|
||||
export const postSplitData = (data: {
|
||||
kbId: string;
|
||||
chunks: string[];
|
||||
prompt: string;
|
||||
mode: `${TrainingModeEnum}`;
|
||||
}) => POST(`/openapi/text/pushData`, data);
|
||||
|
||||
export const searchText = (data: SearchTestProps) =>
|
||||
POST<SearchTestResponse>(`/openapi/kb/searchTest`, data);
|
||||
@@ -1,9 +0,0 @@
|
||||
import { GET, POST, PUT } from './request';
|
||||
import type { ChatModelItemType } from '@/constants/model';
|
||||
import type { InitDateResponse } from '@/pages/api/system/getInitData';
|
||||
|
||||
export const getInitData = () => GET<InitDateResponse>('/system/getInitData');
|
||||
|
||||
export const getSystemModelList = () => GET<ChatModelItemType[]>('/system/getModels');
|
||||
|
||||
export const uploadImg = (base64Img: string) => POST<string>('/system/uploadImage', { base64Img });
|
||||
@@ -1,160 +0,0 @@
|
||||
import React, { useState } from 'react';
|
||||
import {
|
||||
Box,
|
||||
Button,
|
||||
Modal,
|
||||
ModalOverlay,
|
||||
ModalContent,
|
||||
Flex,
|
||||
ModalFooter,
|
||||
ModalBody,
|
||||
ModalCloseButton,
|
||||
Table,
|
||||
Thead,
|
||||
Tbody,
|
||||
Tr,
|
||||
Th,
|
||||
Td,
|
||||
TableContainer,
|
||||
IconButton
|
||||
} from '@chakra-ui/react';
|
||||
import { getOpenApiKeys, createAOpenApiKey, delOpenApiById } from '@/api/openapi';
|
||||
import { useQuery, useMutation } from '@tanstack/react-query';
|
||||
import { useLoading } from '@/hooks/useLoading';
|
||||
import dayjs from 'dayjs';
|
||||
import { AddIcon, DeleteIcon } from '@chakra-ui/icons';
|
||||
import { getErrText, useCopyData } from '@/utils/tools';
|
||||
import { useToast } from '@/hooks/useToast';
|
||||
import MyIcon from '../Icon';
|
||||
|
||||
const APIKeyModal = ({ onClose }: { onClose: () => void }) => {
|
||||
const { Loading } = useLoading();
|
||||
const { toast } = useToast();
|
||||
const {
|
||||
data: apiKeys = [],
|
||||
isLoading: isGetting,
|
||||
refetch
|
||||
} = useQuery(['getOpenApiKeys'], getOpenApiKeys);
|
||||
const [apiKey, setApiKey] = useState('');
|
||||
const { copyData } = useCopyData();
|
||||
|
||||
const { mutate: onclickCreateApiKey, isLoading: isCreating } = useMutation({
|
||||
mutationFn: () => createAOpenApiKey(),
|
||||
onSuccess(res) {
|
||||
setApiKey(res);
|
||||
refetch();
|
||||
},
|
||||
onError(err) {
|
||||
toast({
|
||||
status: 'warning',
|
||||
title: getErrText(err)
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
const { mutate: onclickRemove, isLoading: isDeleting } = useMutation({
|
||||
mutationFn: async (id: string) => delOpenApiById(id),
|
||||
onSuccess() {
|
||||
refetch();
|
||||
}
|
||||
});
|
||||
|
||||
return (
|
||||
<Modal isOpen onClose={onClose}>
|
||||
<ModalOverlay />
|
||||
<ModalContent w={'600px'} maxW={'90vw'} position={'relative'}>
|
||||
<Box py={3} px={5}>
|
||||
<Box fontWeight={'bold'} fontSize={'2xl'}>
|
||||
API 秘钥管理
|
||||
</Box>
|
||||
<Box fontSize={'sm'} color={'myGray.600'}>
|
||||
如果你不想 API 秘钥被滥用,请勿将秘钥直接放置在前端使用~
|
||||
</Box>
|
||||
</Box>
|
||||
<ModalCloseButton />
|
||||
<ModalBody minH={'300px'} maxH={['70vh', '500px']} overflow={'overlay'}>
|
||||
<TableContainer mt={2} position={'relative'}>
|
||||
<Table>
|
||||
<Thead>
|
||||
<Tr>
|
||||
<Th>Api Key</Th>
|
||||
<Th>创建时间</Th>
|
||||
<Th>最后一次使用时间</Th>
|
||||
<Th />
|
||||
</Tr>
|
||||
</Thead>
|
||||
<Tbody fontSize={'sm'}>
|
||||
{apiKeys.map(({ id, apiKey, createTime, lastUsedTime }) => (
|
||||
<Tr key={id}>
|
||||
<Td>{apiKey}</Td>
|
||||
<Td>{dayjs(createTime).format('YYYY/MM/DD HH:mm:ss')}</Td>
|
||||
<Td>
|
||||
{lastUsedTime
|
||||
? dayjs(lastUsedTime).format('YYYY/MM/DD HH:mm:ss')
|
||||
: '没有使用过'}
|
||||
</Td>
|
||||
<Td>
|
||||
<IconButton
|
||||
icon={<DeleteIcon />}
|
||||
size={'xs'}
|
||||
aria-label={'delete'}
|
||||
variant={'base'}
|
||||
colorScheme={'gray'}
|
||||
onClick={() => onclickRemove(id)}
|
||||
/>
|
||||
</Td>
|
||||
</Tr>
|
||||
))}
|
||||
</Tbody>
|
||||
</Table>
|
||||
</TableContainer>
|
||||
</ModalBody>
|
||||
|
||||
<ModalFooter>
|
||||
<Button
|
||||
variant="base"
|
||||
leftIcon={<AddIcon color={'myGray.600'} fontSize={'sm'} />}
|
||||
onClick={() => onclickCreateApiKey()}
|
||||
>
|
||||
新建秘钥
|
||||
</Button>
|
||||
</ModalFooter>
|
||||
|
||||
<Loading loading={isGetting || isCreating || isDeleting} fixed={false} />
|
||||
</ModalContent>
|
||||
<Modal isOpen={!!apiKey} onClose={() => setApiKey('')}>
|
||||
<ModalOverlay />
|
||||
<ModalContent w={'400px'} maxW={'90vw'}>
|
||||
<Box py={3} px={5}>
|
||||
<Box fontWeight={'bold'} fontSize={'2xl'}>
|
||||
新的 API 秘钥
|
||||
</Box>
|
||||
<Box fontSize={'sm'} color={'myGray.600'}>
|
||||
请保管好你的秘钥,秘钥不会再次展示~
|
||||
</Box>
|
||||
</Box>
|
||||
<ModalCloseButton />
|
||||
<ModalBody>
|
||||
<Flex
|
||||
bg={'myGray.100'}
|
||||
px={3}
|
||||
py={2}
|
||||
cursor={'pointer'}
|
||||
onClick={() => copyData(apiKey)}
|
||||
>
|
||||
<Box flex={1}>{apiKey}</Box>
|
||||
<MyIcon name={'copy'} w={'16px'}></MyIcon>
|
||||
</Flex>
|
||||
</ModalBody>
|
||||
<ModalFooter>
|
||||
<Button variant="base" onClick={() => setApiKey('')}>
|
||||
好的
|
||||
</Button>
|
||||
</ModalFooter>
|
||||
</ModalContent>
|
||||
</Modal>
|
||||
</Modal>
|
||||
);
|
||||
};
|
||||
|
||||
export default APIKeyModal;
|
||||
@@ -1,21 +0,0 @@
|
||||
import React from 'react';
|
||||
import { Image } from '@chakra-ui/react';
|
||||
import type { ImageProps } from '@chakra-ui/react';
|
||||
import { LOGO_ICON } from '@/constants/chat';
|
||||
|
||||
const Avatar = ({ w = '30px', ...props }: ImageProps) => {
|
||||
return (
|
||||
<Image
|
||||
fallbackSrc={LOGO_ICON}
|
||||
borderRadius={'50%'}
|
||||
objectFit={'cover'}
|
||||
alt=""
|
||||
w={w}
|
||||
h={w}
|
||||
p={'1px'}
|
||||
{...props}
|
||||
/>
|
||||
);
|
||||
};
|
||||
|
||||
export default Avatar;
|
||||
@@ -1,42 +0,0 @@
|
||||
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 ? `${max}+` : count}
|
||||
</Box>
|
||||
)}
|
||||
</Box>
|
||||
)}
|
||||
</Box>
|
||||
);
|
||||
};
|
||||
|
||||
export default Badge;
|
||||
@@ -1,4 +0,0 @@
|
||||
.datePicker {
|
||||
--rdp-background-color: #d6e8ff;
|
||||
--rdp-accent-color: #0000ff;
|
||||
}
|
||||
@@ -1,121 +0,0 @@
|
||||
import React, { useState, useMemo, useRef } from 'react';
|
||||
import { Box, Card, Flex, useTheme, useOutsideClick, Button } from '@chakra-ui/react';
|
||||
import { addDays, format } from 'date-fns';
|
||||
import { type DateRange, DayPicker } from 'react-day-picker';
|
||||
import MyIcon from '../Icon';
|
||||
import 'react-day-picker/dist/style.css';
|
||||
import styles from './index.module.scss';
|
||||
import zhCN from 'date-fns/locale/zh-CN';
|
||||
|
||||
const DateRangePicker = ({
|
||||
onChange,
|
||||
onSuccess,
|
||||
position = 'bottom',
|
||||
defaultDate = {
|
||||
from: addDays(new Date(), -30),
|
||||
to: new Date()
|
||||
}
|
||||
}: {
|
||||
onChange?: (date: DateRange) => void;
|
||||
onSuccess?: (date: DateRange) => void;
|
||||
position?: 'bottom' | 'top';
|
||||
defaultDate?: DateRange;
|
||||
}) => {
|
||||
const theme = useTheme();
|
||||
const OutRangeRef = useRef(null);
|
||||
const [range, setRange] = useState<DateRange | undefined>(defaultDate);
|
||||
const [showSelected, setShowSelected] = useState(false);
|
||||
|
||||
const formatSelected = useMemo(() => {
|
||||
if (range?.from && range.to) {
|
||||
return `${format(range.from, 'y-MM-dd')} ~ ${format(range.to, 'y-MM-dd')}`;
|
||||
}
|
||||
return `${format(new Date(), 'y-MM-dd')} ~ ${format(new Date(), 'y-MM-dd')}`;
|
||||
}, [range]);
|
||||
|
||||
useOutsideClick({
|
||||
ref: OutRangeRef,
|
||||
handler: () => {
|
||||
setShowSelected(false);
|
||||
}
|
||||
});
|
||||
|
||||
return (
|
||||
<Box position={'relative'} ref={OutRangeRef}>
|
||||
<Flex
|
||||
border={theme.borders.base}
|
||||
px={3}
|
||||
py={1}
|
||||
borderRadius={'sm'}
|
||||
cursor={'pointer'}
|
||||
bg={'myWhite.600'}
|
||||
fontSize={'sm'}
|
||||
onClick={() => setShowSelected(true)}
|
||||
>
|
||||
<Box>{formatSelected}</Box>
|
||||
<MyIcon ml={2} name={'date'} w={'16px'} color={'myGray.600'} />
|
||||
</Flex>
|
||||
{showSelected && (
|
||||
<Card
|
||||
position={'absolute'}
|
||||
zIndex={1}
|
||||
{...(position === 'top'
|
||||
? {
|
||||
bottom: '40px'
|
||||
}
|
||||
: {})}
|
||||
>
|
||||
<DayPicker
|
||||
locale={zhCN}
|
||||
id="test"
|
||||
mode="range"
|
||||
className={styles.datePicker}
|
||||
defaultMonth={defaultDate.to}
|
||||
selected={range}
|
||||
disabled={[
|
||||
{ from: new Date(2022, 3, 1), to: addDays(new Date(), -90) },
|
||||
{ from: addDays(new Date(), 1), to: new Date(2099, 1, 1) }
|
||||
]}
|
||||
onSelect={(date) => {
|
||||
if (date?.from === undefined) {
|
||||
date = {
|
||||
from: range?.from,
|
||||
to: range?.from
|
||||
};
|
||||
}
|
||||
if (date?.to === undefined) {
|
||||
date.to = date.from;
|
||||
}
|
||||
setRange(date);
|
||||
onChange && onChange(date);
|
||||
}}
|
||||
footer={
|
||||
<Flex justifyContent={'flex-end'}>
|
||||
<Button
|
||||
variant={'outline'}
|
||||
size={'sm'}
|
||||
mr={2}
|
||||
onClick={() => setShowSelected(false)}
|
||||
>
|
||||
取消
|
||||
</Button>
|
||||
<Button
|
||||
size={'sm'}
|
||||
onClick={() => {
|
||||
onSuccess && onSuccess(range || defaultDate);
|
||||
setShowSelected(false);
|
||||
}}
|
||||
>
|
||||
确认
|
||||
</Button>
|
||||
</Flex>
|
||||
}
|
||||
/>
|
||||
</Card>
|
||||
)}
|
||||
</Box>
|
||||
);
|
||||
};
|
||||
|
||||
export default DateRangePicker;
|
||||
export type DateRangeType = DateRange;
|
||||
@@ -1 +0,0 @@
|
||||
<?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="1686969412308" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="3481" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M517.864056 487.834624c-56.774051-54.213739-58.850339-144.187937-4.6366-200.960964 54.212716-56.773028 144.187937-58.849316 200.960964-4.6366 56.775074 54.213739 58.850339 144.186913 4.6366 200.960964C664.613328 539.972075 574.639131 542.048363 517.864056 487.834624zM687.194626 452.994118c37.533848-39.308261 36.09508-101.596909-3.210112-139.128711-39.304168-37.531801-101.593839-36.094056-139.127687 3.211135-37.532825 39.307238-36.093033 101.593839 3.212158 139.125641C587.374176 493.736031 649.660778 492.302379 687.194626 452.994118zM479.104287 670.917406l-101.495602 106.289792c26.206872 25.024953 27.167756 66.540486 2.14178 92.749404-25.028023 26.209942-66.543555 27.16571-92.750427 2.140757l-58.361199 53.027727c0 0-68.750827 11.100826-100.379175-19.101033-31.630395-30.205952-37.865399-112.721271-37.865399-112.721271l246.37427-258.302951c-63.173808-117.608581-47.24707-267.162736 49.939389-368.939747 36.517705-38.242999 80.346933-65.156976 127.165238-81.040734l1.084705 46.269813c-35.443233 14.07967-68.566632 35.596729-96.618525 64.973804-80.271208 84.064604-96.099708 205.865671-49.433876 305.083393l23.075555 39.163975L146.090774 798.015106c0 0 0.593518 49.77873 17.242709 65.677838 14.888082 14.216793 61.832254 9.828856 61.832254 9.828856l60.407812-63.260789 31.631418 30.203906c8.741082 8.346085 22.570042 8.030907 30.91715-0.711198 8.347109-8.742105 8.026814-22.571065-0.713244-30.91715l-31.632441-30.207999 156.456355-163.846672 39.009456 22.481014c101.259218 42.039465 222.201731 20.61041 302.474986-63.453171 104.251366-109.178585 100.260471-282.211477-8.91709-386.464889-33.591049-32.075533-73.260537-53.829999-115.093295-65.49262l-1.030469-45.153386c53.197596 12.471033 103.945397 38.547944 146.323577 79.015611 126.645398 120.931257 131.277906 321.649698 10.344602 448.296119C748.158093 705.787588 599.500355 728.598106 479.104287 670.917406z" p-id="3482"></path></svg>
|
||||
|
Before Width: | Height: | Size: 2.2 KiB |
@@ -1 +0,0 @@
|
||||
<?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="1684739031957" class="icon" viewBox="0 0 1026 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="4988" xmlns:xlink="http://www.w3.org/1999/xlink" width="64.125" height="64"><path d="M371.732817 94.172314q25.773475 0 44.112294 17.843175t18.338819 43.616651l0 247.821878q0 25.773475-18.338819 44.112294t-44.112294 18.338819l-247.821878 0q-25.773475 0-43.616651-18.338819t-17.843175-44.112294l0-247.821878q0-25.773475 17.843175-43.616651t43.616651-17.843175l247.821878 0zM371.732817 589.81607q25.773475 0 44.112294 17.843175t18.338819 43.616651l0 248.813166q0 25.773475-18.338819 43.616651t-44.112294 17.843175l-247.821878 0q-25.773475 0-43.616651-17.843175t-17.843175-43.616651l0-248.813166q0-25.773475 17.843175-43.616651t43.616651-17.843175l247.821878 0zM868.367861 589.81607q25.773475 0 43.616651 17.843175t17.843175 43.616651l0 248.813166q0 25.773475-17.843175 43.616651t-43.616651 17.843175l-247.821878 0q-25.773475 0-44.112294-17.843175t-18.338819-43.616651l0-248.813166q0-25.773475 18.338819-43.616651t44.112294-17.843175l247.821878 0zM1006.156825 203.21394q19.82575 19.82575 19.82575 46.590513t-19.82575 45.599226l-184.379477 184.379477q-19.82575 19.82575-46.094869 19.82575t-46.094869-19.82575l-184.379477-184.379477q-18.834463-18.834463-18.834463-45.599226t18.834463-46.590513l184.379477-184.379477q19.82575-18.834463 46.094869-18.834463t46.094869 18.834463z" p-id="4989"></path></svg>
|
||||
|
Before Width: | Height: | Size: 1.5 KiB |
@@ -1 +0,0 @@
|
||||
<?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="1686832863390" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="4120" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M782.84 188.75h-43.15v-60.46c0-16.57-13.43-30-30-30s-30 13.43-30 30v60.46H371.88v-60.46c0-16.57-13.43-30-30-30s-30 13.43-30 30v60.46H250.5c-66.17 0-120 53.83-120 120v494.47c0 66.17 53.83 120 120 120h532.33c66.17 0 120-53.83 120-120V308.75c0.01-66.17-53.82-120-119.99-120z m-532.34 60h61.37v133.63c0 16.57 13.43 30 30 30s30-13.43 30-30V248.75h307.81v133.63c0 16.57 13.43 30 30 30s30-13.43 30-30V248.75h43.15c33.08 0 60 26.92 60 60V649.5H190.5V308.75c0-33.08 26.92-60 60-60z m532.34 614.47H250.5c-33.08 0-60-26.92-60-60V709.5h652.33v93.72c0.01 33.08-26.91 60-59.99 60z" p-id="4121"></path></svg>
|
||||
|
Before Width: | Height: | Size: 924 B |
@@ -1 +0,0 @@
|
||||
<?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="1684826302600" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2244" xmlns:xlink="http://www.w3.org/1999/xlink" ><path d="M904 512h-56c-4.4 0-8 3.6-8 8v320H184V184h320c4.4 0 8-3.6 8-8v-56c0-4.4-3.6-8-8-8H144c-17.7 0-32 14.3-32 32v736c0 17.7 14.3 32 32 32h736c17.7 0 32-14.3 32-32V520c0-4.4-3.6-8-8-8z" p-id="2245"></path><path d="M355.9 534.9L354 653.8c-0.1 8.9 7.1 16.2 16 16.2h0.4l118-2.9c2-0.1 4-0.9 5.4-2.3l415.9-415c3.1-3.1 3.1-8.2 0-11.3L785.4 114.3c-1.6-1.6-3.6-2.3-5.7-2.3s-4.1 0.8-5.7 2.3l-415.8 415c-1.4 1.5-2.3 3.5-2.3 5.6z m63.5 23.6L779.7 199l45.2 45.1-360.5 359.7-45.7 1.1 0.7-46.4z" p-id="2246"></path></svg>
|
||||
|
Before Width: | Height: | Size: 810 B |
@@ -1 +0,0 @@
|
||||
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|
||||
|
Before Width: | Height: | Size: 1.1 KiB |
@@ -1 +0,0 @@
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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="1684122143852" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2364" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9 23.5 23.2 38.1 55.4 38.1 91v112.5c0.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z" p-id="2365"></path></svg>
|
||||
|
Before Width: | Height: | Size: 1013 B |
@@ -1 +0,0 @@
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||||
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||||
|
Before Width: | Height: | Size: 875 B |
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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="1686042262954" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="3245" xmlns:xlink="http://www.w3.org/1999/xlink" ><path d="M510.1 928h5.5c52.6-0.7 96.7-38.4 103.3-88.5H406.8c6.6 50.1 50.7 87.9 103.3 88.5zM771.7 598.5V410.9c0.6-105.3-70.9-197-172.2-220.8v-4.5c0.8-31.7-15.5-61.4-42.5-77.6-27.1-16.1-60.6-16.1-87.7 0s-43.3 45.8-42.5 77.6v4.5C325.2 213.7 253.4 305.5 254 410.9v187.6c-51.9 41.3-83.2 103.5-85.9 170.2h689.5c-2.6-66.7-34-128.9-85.9-170.2z" p-id="3246"></path></svg>
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||||
|
Before Width: | Height: | Size: 663 B |
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|
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|
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|
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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="1684739068105" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="7879" xmlns:xlink="http://www.w3.org/1999/xlink" ><path d="M817.87 556.31h-63.58v-66.24A42.27 42.27 0 0 0 712 447.8h-84.81a42.27 42.27 0 0 0-42.27 42.27v66.24H436.57v-66.24a42.27 42.27 0 0 0-42.27-42.27h-84.83a42.27 42.27 0 0 0-42.27 42.27v66.24h-61.83A22.39 22.39 0 0 0 183 578.7a22.39 22.39 0 0 0 22.39 22.39h61.81v65.55a42.27 42.27 0 0 0 42.27 42.27h84.83a42.27 42.27 0 0 0 42.27-42.27v-65.55h148.36v65.55a42.27 42.27 0 0 0 42.27 42.27H712a42.27 42.27 0 0 0 42.27-42.27v-65.55h63.58a22.39 22.39 0 0 0 22.39-22.39 22.39 22.39 0 0 0-22.37-22.39z m-438.64 95.26h-54.69V505.14h54.69z m317.72 0h-54.69V505.14H697z" p-id="7880"></path><path d="M823 202.58h-90.81v-63.09a71.88 71.88 0 0 0-71.88-71.88H363.19a71.88 71.88 0 0 0-71.88 71.88v63.08h-90.12A137.17 137.17 0 0 0 64 339.75v479a137.17 137.17 0 0 0 137.19 137.14H823a137.17 137.17 0 0 0 137.19-137.17v-479A137.17 137.17 0 0 0 823 202.58z m-474.36-54.1A23.52 23.52 0 0 1 372.17 125h279.16a23.52 23.52 0 0 1 23.52 23.52v54.1h-326.2z m554.23 673.31a76.76 76.76 0 0 1-76.76 76.76h-628a76.76 76.76 0 0 1-76.76-76.76V336.67a76.76 76.76 0 0 1 76.76-76.76h628a76.76 76.76 0 0 1 76.76 76.76z" p-id="7881"></path></svg>
|
||||
|
Before Width: | Height: | Size: 1.4 KiB |
@@ -1 +0,0 @@
|
||||
<?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>
|
||||
|
Before Width: | Height: | Size: 1.2 KiB |
@@ -1,143 +0,0 @@
|
||||
import React, { useMemo } from 'react';
|
||||
import { Box, Flex, Tooltip, Link } from '@chakra-ui/react';
|
||||
import { useRouter } from 'next/router';
|
||||
import MyIcon from '../Icon';
|
||||
import { useUserStore } from '@/store/user';
|
||||
import { useChatStore } from '@/store/chat';
|
||||
import Avatar from '../Avatar';
|
||||
import { HUMAN_ICON } from '@/constants/chat';
|
||||
import NextLink from 'next/link';
|
||||
import Badge from '../Badge';
|
||||
|
||||
export enum NavbarTypeEnum {
|
||||
normal = 'normal',
|
||||
small = 'small'
|
||||
}
|
||||
|
||||
const Navbar = ({ unread }: { unread: number }) => {
|
||||
const router = useRouter();
|
||||
const { userInfo, lastModelId } = useUserStore();
|
||||
const { lastChatModelId, lastChatId } = useChatStore();
|
||||
const navbarList = useMemo(
|
||||
() => [
|
||||
{
|
||||
label: '聊天',
|
||||
icon: 'chat',
|
||||
link: `/chat?modelId=${lastChatModelId}&chatId=${lastChatId}`,
|
||||
activeLink: ['/chat']
|
||||
},
|
||||
{
|
||||
label: '应用',
|
||||
icon: 'model',
|
||||
link: `/model?modelId=${lastModelId}`,
|
||||
activeLink: ['/model']
|
||||
},
|
||||
{
|
||||
label: '知识库',
|
||||
icon: 'kb',
|
||||
link: `/kb`,
|
||||
activeLink: ['/kb']
|
||||
},
|
||||
{
|
||||
label: '市场',
|
||||
icon: 'appStore',
|
||||
link: '/model/share',
|
||||
activeLink: ['/model/share']
|
||||
},
|
||||
{
|
||||
label: '账号',
|
||||
icon: 'user',
|
||||
link: '/number',
|
||||
activeLink: ['/number']
|
||||
}
|
||||
],
|
||||
[lastChatId, lastChatModelId, lastModelId]
|
||||
);
|
||||
|
||||
const itemStyles: any = {
|
||||
my: 3,
|
||||
display: 'flex',
|
||||
flexDirection: 'column',
|
||||
alignItems: 'center',
|
||||
justifyContent: 'center',
|
||||
cursor: 'pointer',
|
||||
w: '54px',
|
||||
h: '54px',
|
||||
borderRadius: 'md',
|
||||
_hover: {
|
||||
color: '#ffffff'
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<Flex
|
||||
flexDirection={'column'}
|
||||
alignItems={'center'}
|
||||
pt={6}
|
||||
backgroundImage={'linear-gradient(to bottom right,#465069,#000000)'}
|
||||
h={'100%'}
|
||||
w={'100%'}
|
||||
boxShadow={'4px 0px 4px 0px rgba(43, 45, 55, 0.01)'}
|
||||
userSelect={'none'}
|
||||
>
|
||||
{/* logo */}
|
||||
<Box
|
||||
mb={5}
|
||||
border={'2px solid #fff'}
|
||||
borderRadius={'36px'}
|
||||
overflow={'hidden'}
|
||||
cursor={'pointer'}
|
||||
onClick={() => router.push('/number')}
|
||||
>
|
||||
<Avatar w={'36px'} h={'36px'} src={userInfo?.avatar} fallbackSrc={HUMAN_ICON} />
|
||||
</Box>
|
||||
{/* 导航列表 */}
|
||||
<Box flex={1}>
|
||||
{navbarList.map((item) => (
|
||||
<Link
|
||||
key={item.link}
|
||||
as={NextLink}
|
||||
href={item.link}
|
||||
{...itemStyles}
|
||||
{...(item.activeLink.includes(router.pathname)
|
||||
? {
|
||||
color: '#ffffff ',
|
||||
backgroundImage: 'linear-gradient(to bottom right, #2152d9 0%, #4e83fd 100%)'
|
||||
}
|
||||
: {
|
||||
color: '#9096a5',
|
||||
backgroundColor: 'transparent'
|
||||
})}
|
||||
>
|
||||
<MyIcon name={item.icon as any} width={'20px'} height={'20px'} />
|
||||
<Box fontSize={'12px'} transform={'scale(0.9)'} mt={'5px'} lineHeight={1}>
|
||||
{item.label}
|
||||
</Box>
|
||||
</Link>
|
||||
))}
|
||||
</Box>
|
||||
{unread > 0 && (
|
||||
<Box>
|
||||
<Link as={NextLink} {...itemStyles} href={`/number?type=inform`} mb={0} color={'#9096a5'}>
|
||||
<Badge count={unread}>
|
||||
<MyIcon name={'inform'} width={'22px'} height={'22px'} />
|
||||
</Badge>
|
||||
</Link>
|
||||
</Box>
|
||||
)}
|
||||
<Box>
|
||||
<Link
|
||||
as={NextLink}
|
||||
href="https://github.com/c121914yu/FastGPT"
|
||||
target={'_blank'}
|
||||
{...itemStyles}
|
||||
color={'#9096a5'}
|
||||
>
|
||||
<MyIcon name={'git'} width={'22px'} height={'22px'} />
|
||||
</Link>
|
||||
</Box>
|
||||
</Flex>
|
||||
);
|
||||
};
|
||||
|
||||
export default Navbar;
|
||||
@@ -1,18 +0,0 @@
|
||||
import React from 'react';
|
||||
import { Box } from '@chakra-ui/react';
|
||||
|
||||
const regex = /((http|https|ftp):\/\/[^\s\u4e00-\u9fa5\u3000-\u303f\uff00-\uffef]+)/gi;
|
||||
|
||||
const Link = (props: { href?: string; children?: React.ReactNode[] }) => {
|
||||
const decText = decodeURIComponent(props.href || '');
|
||||
const replaceText = decText.replace(regex, (match, p1) => {
|
||||
const text = decText === props.children?.[0] ? p1 : props.children?.[0];
|
||||
const isInternal = /^\/#/i.test(p1);
|
||||
const target = isInternal ? '_self' : '_blank';
|
||||
return `<a href="${p1}" target=${target}>${text}</a>`;
|
||||
});
|
||||
|
||||
return <Box as={'span'} dangerouslySetInnerHTML={{ __html: replaceText }} />;
|
||||
};
|
||||
|
||||
export default React.memo(Link);
|
||||
@@ -1,39 +0,0 @@
|
||||
import React, { useState } from 'react';
|
||||
import { Image, Skeleton } from '@chakra-ui/react';
|
||||
|
||||
const MdImage = ({ src }: { src?: string }) => {
|
||||
const [isLoading, setIsLoading] = useState(true);
|
||||
const [succeed, setSucceed] = useState(false);
|
||||
return (
|
||||
<Skeleton
|
||||
minH="100px"
|
||||
isLoaded={!isLoading}
|
||||
fadeDuration={2}
|
||||
display={'flex'}
|
||||
justifyContent={'center'}
|
||||
my={1}
|
||||
>
|
||||
<Image
|
||||
display={'inline-block'}
|
||||
borderRadius={'md'}
|
||||
src={src}
|
||||
alt={''}
|
||||
fallbackSrc={'/imgs/errImg.png'}
|
||||
fallbackStrategy={'onError'}
|
||||
cursor={succeed ? 'pointer' : 'default'}
|
||||
loading="eager"
|
||||
onLoad={() => {
|
||||
setIsLoading(false);
|
||||
setSucceed(true);
|
||||
}}
|
||||
onError={() => setIsLoading(false)}
|
||||
onClick={() => {
|
||||
if (!succeed) return;
|
||||
window.open(src, '_blank');
|
||||
}}
|
||||
/>
|
||||
</Skeleton>
|
||||
);
|
||||
};
|
||||
|
||||
export default React.memo(MdImage);
|
||||
@@ -1,25 +0,0 @@
|
||||
import React, { memo } from 'react';
|
||||
import { Box } from '@chakra-ui/react';
|
||||
|
||||
const Loading = ({ text }: { text?: string }) => {
|
||||
return (
|
||||
<Box>
|
||||
<Box
|
||||
minW={'100px'}
|
||||
w={'100%'}
|
||||
h={'80px'}
|
||||
backgroundImage={'url("/imgs/loading.gif")'}
|
||||
backgroundSize={'contain'}
|
||||
backgroundRepeat={'no-repeat'}
|
||||
backgroundPosition={'center'}
|
||||
/>
|
||||
{text && (
|
||||
<Box mt={1} textAlign={'center'} fontSize={'sm'} color={'myGray.600'}>
|
||||
{text}
|
||||
</Box>
|
||||
)}
|
||||
</Box>
|
||||
);
|
||||
};
|
||||
|
||||
export default memo(Loading);
|
||||
@@ -1,137 +0,0 @@
|
||||
import React, { useEffect, useRef, memo, useCallback, useState, useMemo } from 'react';
|
||||
import { Box } from '@chakra-ui/react';
|
||||
// @ts-ignore
|
||||
import mermaid from 'mermaid';
|
||||
import MyIcon from '../../Icon';
|
||||
|
||||
const mermaidAPI = mermaid.mermaidAPI;
|
||||
mermaidAPI.initialize({
|
||||
startOnLoad: true,
|
||||
theme: 'base',
|
||||
flowchart: {
|
||||
useMaxWidth: false
|
||||
},
|
||||
themeVariables: {
|
||||
fontSize: '14px',
|
||||
primaryColor: '#d6e8ff',
|
||||
primaryTextColor: '#485058',
|
||||
primaryBorderColor: '#fff',
|
||||
lineColor: '#5A646E',
|
||||
secondaryColor: '#B5E9E5',
|
||||
tertiaryColor: '#485058'
|
||||
}
|
||||
});
|
||||
|
||||
const punctuationMap: Record<string, string> = {
|
||||
',': ',',
|
||||
';': ';',
|
||||
'。': '.',
|
||||
':': ':',
|
||||
'!': '!',
|
||||
'?': '?',
|
||||
'“': '"',
|
||||
'”': '"',
|
||||
'‘': "'",
|
||||
'’': "'",
|
||||
'【': '[',
|
||||
'】': ']',
|
||||
'(': '(',
|
||||
')': ')',
|
||||
'《': '<',
|
||||
'》': '>',
|
||||
'、': ','
|
||||
};
|
||||
|
||||
const MermaidBlock = ({ code }: { code: string }) => {
|
||||
const ref = useRef<HTMLDivElement>(null);
|
||||
const [svg, setSvg] = useState('');
|
||||
|
||||
useEffect(() => {
|
||||
(async () => {
|
||||
if (!code) return;
|
||||
try {
|
||||
const formatCode = code.replace(
|
||||
new RegExp(`[${Object.keys(punctuationMap).join('')}]`, 'g'),
|
||||
(match) => punctuationMap[match]
|
||||
);
|
||||
const { svg } = await mermaid.render(`mermaid-${Date.now()}`, formatCode);
|
||||
setSvg(svg);
|
||||
} catch (e: any) {
|
||||
console.log('[Mermaid] ', e?.message);
|
||||
}
|
||||
})();
|
||||
}, [code]);
|
||||
|
||||
const onclickExport = useCallback(() => {
|
||||
const svg = ref.current?.children[0];
|
||||
if (!svg) return;
|
||||
|
||||
const rate = svg.clientHeight / svg.clientWidth;
|
||||
const w = 3000;
|
||||
const h = rate * w;
|
||||
|
||||
const canvas = document.createElement('canvas');
|
||||
canvas.width = w;
|
||||
canvas.height = h;
|
||||
const ctx = canvas.getContext('2d');
|
||||
if (!ctx) return;
|
||||
// 绘制白色背景
|
||||
ctx.fillStyle = '#fff';
|
||||
ctx.fillRect(0, 0, w, h);
|
||||
|
||||
const img = new Image();
|
||||
img.src = `data:image/svg+xml;charset=utf-8,${encodeURIComponent(ref.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'}
|
||||
_hover={{
|
||||
'& > .export': {
|
||||
display: 'block'
|
||||
}
|
||||
}}
|
||||
>
|
||||
<Box
|
||||
overflowX={'auto'}
|
||||
ref={ref}
|
||||
minW={'100px'}
|
||||
minH={'50px'}
|
||||
py={4}
|
||||
dangerouslySetInnerHTML={{ __html: svg }}
|
||||
/>
|
||||
<MyIcon
|
||||
className="export"
|
||||
display={'none'}
|
||||
name={'export'}
|
||||
w={'20px'}
|
||||
position={'absolute'}
|
||||
color={'myGray.600'}
|
||||
_hover={{
|
||||
color: 'myBlue.700'
|
||||
}}
|
||||
right={0}
|
||||
top={0}
|
||||
cursor={'pointer'}
|
||||
onClick={onclickExport}
|
||||
/>
|
||||
</Box>
|
||||
);
|
||||
};
|
||||
|
||||
export default MermaidBlock;
|
||||
@@ -1,54 +0,0 @@
|
||||
import React from 'react';
|
||||
import ReactMarkdown from 'react-markdown';
|
||||
import RemarkGfm from 'remark-gfm';
|
||||
import RemarkMath from 'remark-math';
|
||||
import RehypeKatex from 'rehype-katex';
|
||||
import RemarkBreaks from 'remark-breaks';
|
||||
|
||||
import 'katex/dist/katex.min.css';
|
||||
import styles from './index.module.scss';
|
||||
|
||||
import Link from './Link';
|
||||
import CodeLight from './CodeLight';
|
||||
import MermaidCodeBlock from './img/MermaidCodeBlock';
|
||||
import MdImage from './img/Image';
|
||||
|
||||
function Code({ inline, className, children }: any) {
|
||||
const match = /language-(\w+)/.exec(className || '');
|
||||
|
||||
if (match?.[1] === 'mermaid') {
|
||||
return <MermaidCodeBlock code={String(children)} />;
|
||||
}
|
||||
|
||||
return (
|
||||
<CodeLight className={className} inline={inline} match={match}>
|
||||
{children}
|
||||
</CodeLight>
|
||||
);
|
||||
}
|
||||
|
||||
function Image({ src }: { src?: string }) {
|
||||
return <MdImage src={src} />;
|
||||
}
|
||||
|
||||
const Markdown = ({ source, isChatting = false }: { source: string; isChatting?: boolean }) => {
|
||||
return (
|
||||
<ReactMarkdown
|
||||
className={`markdown ${styles.markdown}
|
||||
${isChatting ? (source === '' ? styles.waitingAnimation : styles.animation) : ''}
|
||||
`}
|
||||
remarkPlugins={[RemarkGfm, RemarkMath, RemarkBreaks]}
|
||||
rehypePlugins={[RehypeKatex]}
|
||||
components={{
|
||||
a: Link,
|
||||
img: Image,
|
||||
pre: 'div',
|
||||
code: Code
|
||||
}}
|
||||
>
|
||||
{source}
|
||||
</ReactMarkdown>
|
||||
);
|
||||
};
|
||||
|
||||
export default Markdown;
|
||||
@@ -1,81 +0,0 @@
|
||||
import React from 'react';
|
||||
import { Menu, MenuButton, MenuList, MenuItem, Button, useDisclosure } from '@chakra-ui/react';
|
||||
import type { ButtonProps } from '@chakra-ui/react';
|
||||
import { ChevronDownIcon } from '@chakra-ui/icons';
|
||||
interface Props extends ButtonProps {
|
||||
value?: string;
|
||||
placeholder?: string;
|
||||
list: {
|
||||
label: string;
|
||||
id: string;
|
||||
}[];
|
||||
onchange?: (val: string) => void;
|
||||
}
|
||||
|
||||
const MySelect = ({ placeholder, value, width = 'auto', list, onchange, ...props }: Props) => {
|
||||
const menuItemStyles = {
|
||||
borderRadius: 'sm',
|
||||
py: 2,
|
||||
display: 'flex',
|
||||
alignItems: 'center',
|
||||
_hover: {
|
||||
backgroundColor: 'myWhite.600'
|
||||
}
|
||||
};
|
||||
const { isOpen, onOpen, onClose } = useDisclosure();
|
||||
|
||||
return (
|
||||
<Menu autoSelect={false} onOpen={onOpen} onClose={onClose}>
|
||||
<MenuButton as={'span'}>
|
||||
<Button
|
||||
width={width}
|
||||
px={3}
|
||||
variant={'base'}
|
||||
display={'flex'}
|
||||
alignItems={'center'}
|
||||
justifyContent={'space-between'}
|
||||
{...(isOpen
|
||||
? {
|
||||
boxShadow: '0px 0px 4px #A8DBFF',
|
||||
borderColor: 'myBlue.600'
|
||||
}
|
||||
: {})}
|
||||
{...props}
|
||||
>
|
||||
{list.find((item) => item.id === value)?.label || placeholder}
|
||||
<ChevronDownIcon />
|
||||
</Button>
|
||||
</MenuButton>
|
||||
<MenuList
|
||||
minW={
|
||||
Array.isArray(width) ? width.map((item) => `${item} !important`) : `${width} !important`
|
||||
}
|
||||
p={'6px'}
|
||||
border={'1px solid #fff'}
|
||||
boxShadow={'0px 2px 4px rgba(161, 167, 179, 0.25), 0px 0px 1px rgba(121, 141, 159, 0.25);'}
|
||||
zIndex={99}
|
||||
>
|
||||
{list.map((item) => (
|
||||
<MenuItem
|
||||
key={item.id}
|
||||
{...menuItemStyles}
|
||||
{...(value === item.id
|
||||
? {
|
||||
color: 'myBlue.600'
|
||||
}
|
||||
: {})}
|
||||
onClick={() => {
|
||||
if (onchange && value !== item.id) {
|
||||
onchange(item.id);
|
||||
}
|
||||
}}
|
||||
>
|
||||
{item.label}
|
||||
</MenuItem>
|
||||
))}
|
||||
</MenuList>
|
||||
</Menu>
|
||||
);
|
||||
};
|
||||
|
||||
export default MySelect;
|
||||
@@ -1,67 +0,0 @@
|
||||
import React, { useState } from 'react';
|
||||
import { Box, Flex } from '@chakra-ui/react';
|
||||
import type { BoxProps } from '@chakra-ui/react';
|
||||
import MyIcon from '../Icon';
|
||||
|
||||
interface Props extends BoxProps {}
|
||||
|
||||
const SideBar = (e?: Props) => {
|
||||
const {
|
||||
w = ['100%', '0 0 250px', '0 0 280px', '0 0 310px', '0 0 340px'],
|
||||
children,
|
||||
...props
|
||||
} = e || {};
|
||||
|
||||
const [foldSideBar, setFoldSideBar] = useState(false);
|
||||
return (
|
||||
<Box
|
||||
position={'relative'}
|
||||
flex={foldSideBar ? '0 0 0' : w}
|
||||
w={['100%', 0]}
|
||||
h={'100%'}
|
||||
zIndex={1}
|
||||
transition={'0.2s'}
|
||||
_hover={{
|
||||
'& > div': { visibility: 'visible', opacity: 1 }
|
||||
}}
|
||||
{...props}
|
||||
>
|
||||
<Flex
|
||||
position={'absolute'}
|
||||
right={0}
|
||||
top={'50%'}
|
||||
transform={'translate(50%,-50%)'}
|
||||
alignItems={'center'}
|
||||
justifyContent={'flex-end'}
|
||||
pr={1}
|
||||
w={'36px'}
|
||||
h={'50px'}
|
||||
borderRadius={'10px'}
|
||||
bg={'rgba(0,0,0,0.5)'}
|
||||
cursor={'pointer'}
|
||||
transition={'0.2s'}
|
||||
{...(foldSideBar
|
||||
? {
|
||||
opacity: 0.6
|
||||
}
|
||||
: {
|
||||
visibility: 'hidden',
|
||||
opacity: 0
|
||||
})}
|
||||
onClick={() => setFoldSideBar(!foldSideBar)}
|
||||
>
|
||||
<MyIcon
|
||||
name={'back'}
|
||||
transform={foldSideBar ? 'rotate(180deg)' : ''}
|
||||
w={'14px'}
|
||||
color={'white'}
|
||||
/>
|
||||
</Flex>
|
||||
<Box position={'relative'} h={'100%'} overflow={foldSideBar ? 'hidden' : 'visible'}>
|
||||
{children}
|
||||
</Box>
|
||||
</Box>
|
||||
);
|
||||
};
|
||||
|
||||
export default SideBar;
|
||||
@@ -1,74 +0,0 @@
|
||||
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: 1
|
||||
};
|
||||
case 'lg':
|
||||
return {
|
||||
fontSize: 'lg',
|
||||
outP: '5px',
|
||||
inlineP: 2
|
||||
};
|
||||
}
|
||||
}, [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;
|
||||
@@ -1,47 +0,0 @@
|
||||
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;
|
||||
@@ -1,26 +0,0 @@
|
||||
export enum sseResponseEventEnum {
|
||||
error = 'error',
|
||||
answer = 'answer',
|
||||
chatResponse = 'chatResponse'
|
||||
}
|
||||
|
||||
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`;
|
||||
@@ -1,11 +0,0 @@
|
||||
import type { KbItemType } from '@/types/plugin';
|
||||
|
||||
export const defaultKbDetail: KbItemType = {
|
||||
_id: '',
|
||||
userId: '',
|
||||
updateTime: new Date(),
|
||||
avatar: '/icon/logo.png',
|
||||
name: '',
|
||||
tags: '',
|
||||
totalData: 0
|
||||
};
|
||||
@@ -1,100 +0,0 @@
|
||||
import { getSystemModelList } from '@/api/system';
|
||||
import type { ShareChatEditType } from '@/types/model';
|
||||
import type { ModelSchema } from '@/types/mongoSchema';
|
||||
|
||||
export const embeddingModel = 'text-embedding-ada-002';
|
||||
export const embeddingPrice = 0.1;
|
||||
export type EmbeddingModelType = 'text-embedding-ada-002';
|
||||
|
||||
export enum OpenAiChatEnum {
|
||||
'GPT35' = 'gpt-3.5-turbo',
|
||||
'GPT3516k' = 'gpt-3.5-turbo-16k',
|
||||
'GPT4' = 'gpt-4',
|
||||
'GPT432k' = 'gpt-4-32k'
|
||||
}
|
||||
|
||||
export type ChatModelType = `${OpenAiChatEnum}`;
|
||||
|
||||
export type ChatModelItemType = {
|
||||
chatModel: ChatModelType;
|
||||
name: string;
|
||||
contextMaxToken: number;
|
||||
systemMaxToken: number;
|
||||
maxTemperature: number;
|
||||
price: number;
|
||||
};
|
||||
|
||||
export const ChatModelMap = {
|
||||
[OpenAiChatEnum.GPT35]: {
|
||||
chatModel: OpenAiChatEnum.GPT35,
|
||||
name: 'Gpt35-4k',
|
||||
contextMaxToken: 4000,
|
||||
systemMaxToken: 2400,
|
||||
maxTemperature: 1.2,
|
||||
price: 1.5
|
||||
},
|
||||
[OpenAiChatEnum.GPT3516k]: {
|
||||
chatModel: OpenAiChatEnum.GPT3516k,
|
||||
name: 'Gpt35-16k',
|
||||
contextMaxToken: 16000,
|
||||
systemMaxToken: 8000,
|
||||
maxTemperature: 1.2,
|
||||
price: 1.5
|
||||
},
|
||||
[OpenAiChatEnum.GPT4]: {
|
||||
chatModel: OpenAiChatEnum.GPT4,
|
||||
name: 'Gpt4',
|
||||
contextMaxToken: 8000,
|
||||
systemMaxToken: 4000,
|
||||
maxTemperature: 1.2,
|
||||
price: 10
|
||||
},
|
||||
[OpenAiChatEnum.GPT432k]: {
|
||||
chatModel: OpenAiChatEnum.GPT432k,
|
||||
name: 'Gpt4-32k',
|
||||
contextMaxToken: 32000,
|
||||
systemMaxToken: 8000,
|
||||
maxTemperature: 1.2,
|
||||
price: 90
|
||||
}
|
||||
};
|
||||
|
||||
let chatModelList: ChatModelItemType[] = [];
|
||||
export const getChatModelList = async () => {
|
||||
if (chatModelList.length > 0) {
|
||||
return chatModelList;
|
||||
}
|
||||
const list = await getSystemModelList();
|
||||
chatModelList = list;
|
||||
return list;
|
||||
};
|
||||
|
||||
export const defaultModel: ModelSchema = {
|
||||
_id: 'modelId',
|
||||
userId: 'userId',
|
||||
name: '模型名称',
|
||||
avatar: '/icon/logo.png',
|
||||
intro: '',
|
||||
updateTime: Date.now(),
|
||||
chat: {
|
||||
relatedKbs: [],
|
||||
searchSimilarity: 0.2,
|
||||
searchLimit: 5,
|
||||
searchEmptyText: '',
|
||||
systemPrompt: '',
|
||||
temperature: 0,
|
||||
maxToken: 4000,
|
||||
chatModel: OpenAiChatEnum.GPT35
|
||||
},
|
||||
share: {
|
||||
isShare: false,
|
||||
isShareDetail: false,
|
||||
collection: 0
|
||||
}
|
||||
};
|
||||
|
||||
export const defaultShareChat: ShareChatEditType = {
|
||||
name: '',
|
||||
password: '',
|
||||
maxContext: 5
|
||||
};
|
||||
@@ -1,8 +0,0 @@
|
||||
export enum TrainingModeEnum {
|
||||
'qa' = 'qa',
|
||||
'index' = 'index'
|
||||
}
|
||||
export const TrainingTypeMap = {
|
||||
[TrainingModeEnum.qa]: 'qa',
|
||||
[TrainingModeEnum.index]: 'index'
|
||||
};
|
||||
@@ -1,91 +0,0 @@
|
||||
import React, { useCallback, useRef } from 'react';
|
||||
import {
|
||||
Modal,
|
||||
ModalOverlay,
|
||||
ModalContent,
|
||||
ModalHeader,
|
||||
ModalFooter,
|
||||
ModalBody,
|
||||
ModalCloseButton,
|
||||
Input,
|
||||
useDisclosure,
|
||||
Button
|
||||
} from '@chakra-ui/react';
|
||||
|
||||
export const useEditInfo = ({
|
||||
title,
|
||||
placeholder = ''
|
||||
}: {
|
||||
title: string;
|
||||
placeholder?: string;
|
||||
}) => {
|
||||
const { isOpen, onOpen, onClose } = useDisclosure();
|
||||
|
||||
const inputRef = useRef<HTMLInputElement | null>(null);
|
||||
const onSuccessCb = useRef<(content: string) => void | Promise<void>>();
|
||||
const onErrorCb = useRef<(err: any) => void>();
|
||||
const defaultValue = useRef('');
|
||||
|
||||
const onOpenModal = useCallback(
|
||||
({
|
||||
defaultVal,
|
||||
onSuccess,
|
||||
onError
|
||||
}: {
|
||||
defaultVal: string;
|
||||
onSuccess: (content: string) => any;
|
||||
onError?: (err: any) => void;
|
||||
}) => {
|
||||
onOpen();
|
||||
onSuccessCb.current = onSuccess;
|
||||
onErrorCb.current = onError;
|
||||
defaultValue.current = defaultVal;
|
||||
},
|
||||
[onOpen]
|
||||
);
|
||||
|
||||
const onclickConfirm = useCallback(async () => {
|
||||
if (!inputRef.current) return;
|
||||
try {
|
||||
const val = inputRef.current.value;
|
||||
await onSuccessCb.current?.(val);
|
||||
onClose();
|
||||
} catch (err) {
|
||||
onErrorCb.current?.(err);
|
||||
}
|
||||
}, [onClose]);
|
||||
|
||||
// eslint-disable-next-line react/display-name
|
||||
const EditModal = useCallback(
|
||||
() => (
|
||||
<Modal isOpen={isOpen} onClose={onClose}>
|
||||
<ModalOverlay />
|
||||
<ModalContent>
|
||||
<ModalHeader>{title}</ModalHeader>
|
||||
<ModalCloseButton />
|
||||
<ModalBody>
|
||||
<Input
|
||||
ref={inputRef}
|
||||
defaultValue={defaultValue.current}
|
||||
placeholder={placeholder}
|
||||
autoFocus
|
||||
maxLength={20}
|
||||
/>
|
||||
</ModalBody>
|
||||
<ModalFooter>
|
||||
<Button mr={3} variant={'base'} onClick={onClose}>
|
||||
取消
|
||||
</Button>
|
||||
<Button onClick={onclickConfirm}>确认</Button>
|
||||
</ModalFooter>
|
||||
</ModalContent>
|
||||
</Modal>
|
||||
),
|
||||
[isOpen, onClose, onclickConfirm, placeholder, title]
|
||||
);
|
||||
|
||||
return {
|
||||
onOpenModal,
|
||||
EditModal
|
||||
};
|
||||
};
|
||||
@@ -1,185 +0,0 @@
|
||||
import { useRef, useState, useCallback, useLayoutEffect, useMemo, useEffect } from 'react';
|
||||
import type { PagingData } from '../types/index';
|
||||
import { IconButton, Flex, Box, Input } from '@chakra-ui/react';
|
||||
import { ArrowBackIcon, ArrowForwardIcon } from '@chakra-ui/icons';
|
||||
import { useMutation } from '@tanstack/react-query';
|
||||
import { useToast } from './useToast';
|
||||
import { throttle } from 'lodash';
|
||||
|
||||
const thresholdVal = 100;
|
||||
|
||||
export const usePagination = <T = any,>({
|
||||
api,
|
||||
pageSize = 10,
|
||||
params = {},
|
||||
defaultRequest = true,
|
||||
type = 'button'
|
||||
}: {
|
||||
api: (data: any) => any;
|
||||
pageSize?: number;
|
||||
params?: Record<string, any>;
|
||||
defaultRequest?: boolean;
|
||||
type?: 'button' | 'scroll';
|
||||
}) => {
|
||||
const elementRef = useRef<HTMLDivElement>(null);
|
||||
const { toast } = useToast();
|
||||
const [pageNum, setPageNum] = useState(1);
|
||||
const [total, setTotal] = useState(0);
|
||||
const [data, setData] = useState<T[]>([]);
|
||||
const maxPage = useMemo(() => Math.ceil(total / pageSize) || 1, [pageSize, total]);
|
||||
|
||||
const { mutate, isLoading } = useMutation({
|
||||
mutationFn: async (num: number = pageNum) => {
|
||||
try {
|
||||
const res: PagingData<T> = await api({
|
||||
pageNum: num,
|
||||
pageSize,
|
||||
...params
|
||||
});
|
||||
setPageNum(num);
|
||||
res.total !== undefined && setTotal(res.total);
|
||||
setData(res.data);
|
||||
} catch (error: any) {
|
||||
toast({
|
||||
title: error?.message || '获取数据异常',
|
||||
status: 'error'
|
||||
});
|
||||
console.log(error);
|
||||
}
|
||||
return null;
|
||||
}
|
||||
});
|
||||
|
||||
const Pagination = useCallback(() => {
|
||||
return (
|
||||
<Flex alignItems={'center'} justifyContent={'end'}>
|
||||
<IconButton
|
||||
isDisabled={pageNum === 1}
|
||||
icon={<ArrowBackIcon />}
|
||||
aria-label={'left'}
|
||||
size={'sm'}
|
||||
w={'28px'}
|
||||
h={'28px'}
|
||||
isLoading={isLoading}
|
||||
onClick={() => mutate(pageNum - 1)}
|
||||
/>
|
||||
<Flex mx={2} alignItems={'center'}>
|
||||
<Input
|
||||
defaultValue={pageNum}
|
||||
w={'50px'}
|
||||
size={'xs'}
|
||||
type={'number'}
|
||||
min={1}
|
||||
max={maxPage}
|
||||
onBlur={(e) => {
|
||||
const val = +e.target.value;
|
||||
if (val === pageNum) return;
|
||||
if (val >= maxPage) {
|
||||
mutate(maxPage);
|
||||
} else if (val < 1) {
|
||||
mutate(1);
|
||||
} else {
|
||||
mutate(+e.target.value);
|
||||
}
|
||||
}}
|
||||
onKeyDown={(e) => {
|
||||
// @ts-ignore
|
||||
const val = +e.target.value;
|
||||
if (val && e.keyCode === 13) {
|
||||
if (val === pageNum) return;
|
||||
if (val >= maxPage) {
|
||||
mutate(maxPage);
|
||||
} else if (val < 1) {
|
||||
mutate(1);
|
||||
} else {
|
||||
mutate(val);
|
||||
}
|
||||
}
|
||||
}}
|
||||
/>
|
||||
<Box mx={2}>/</Box>
|
||||
{maxPage}
|
||||
</Flex>
|
||||
<IconButton
|
||||
isDisabled={pageNum === maxPage}
|
||||
icon={<ArrowForwardIcon />}
|
||||
aria-label={'left'}
|
||||
size={'sm'}
|
||||
isLoading={isLoading}
|
||||
w={'28px'}
|
||||
h={'28px'}
|
||||
onClick={() => mutate(pageNum + 1)}
|
||||
/>
|
||||
</Flex>
|
||||
);
|
||||
}, [isLoading, maxPage, mutate, pageNum]);
|
||||
|
||||
const ScrollData = useCallback(
|
||||
({ children, ...props }: { children: React.ReactNode }) => {
|
||||
const loadText = useMemo(() => {
|
||||
if (isLoading) return '请求中……';
|
||||
if (total <= data.length) return '已加载全部';
|
||||
return '点击加载更多';
|
||||
}, []);
|
||||
|
||||
return (
|
||||
<Box {...props} ref={elementRef} overflow={'overlay'}>
|
||||
{children}
|
||||
<Box
|
||||
mt={2}
|
||||
fontSize={'xs'}
|
||||
color={'blackAlpha.500'}
|
||||
textAlign={'center'}
|
||||
cursor={loadText === '点击加载更多' ? 'pointer' : 'default'}
|
||||
onClick={() => {
|
||||
if (loadText !== '点击加载更多') return;
|
||||
mutate(pageNum + 1);
|
||||
}}
|
||||
>
|
||||
{loadText}
|
||||
</Box>
|
||||
</Box>
|
||||
);
|
||||
},
|
||||
[data.length, isLoading, mutate, pageNum, total]
|
||||
);
|
||||
|
||||
useLayoutEffect(() => {
|
||||
if (!elementRef.current || type !== 'scroll') return;
|
||||
|
||||
const scrolling = throttle((e: Event) => {
|
||||
const element = e.target as HTMLDivElement;
|
||||
if (!element) return;
|
||||
// 当前滚动位置
|
||||
const scrollTop = element.scrollTop;
|
||||
// 可视高度
|
||||
const clientHeight = element.clientHeight;
|
||||
// 内容总高度
|
||||
const scrollHeight = element.scrollHeight;
|
||||
// 判断是否滚动到底部
|
||||
if (scrollTop + clientHeight + thresholdVal >= scrollHeight) {
|
||||
mutate(pageNum + 1);
|
||||
}
|
||||
}, 100);
|
||||
elementRef.current.addEventListener('scroll', scrolling);
|
||||
return () => {
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
elementRef.current?.removeEventListener('scroll', scrolling);
|
||||
};
|
||||
}, [elementRef, mutate, pageNum, type]);
|
||||
|
||||
useEffect(() => {
|
||||
defaultRequest && mutate(1);
|
||||
}, []);
|
||||
|
||||
return {
|
||||
pageNum,
|
||||
pageSize,
|
||||
total,
|
||||
data,
|
||||
isLoading,
|
||||
Pagination,
|
||||
ScrollData,
|
||||
getData: mutate
|
||||
};
|
||||
};
|
||||
@@ -1,10 +0,0 @@
|
||||
function Error() {
|
||||
return (
|
||||
<p>
|
||||
部分系统不兼容,导致页面崩溃。如果可以,请联系作者,反馈下具体操作和页面。大部分是 苹果 的
|
||||
safari 浏览器导致,可以尝试更换 chrome 浏览器。
|
||||
</p>
|
||||
);
|
||||
}
|
||||
|
||||
export default Error;
|
||||
@@ -1,37 +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 } from '@/service/utils/auth';
|
||||
import { connectToDatabase, TrainingData } from '@/service/mongo';
|
||||
import { TrainingModeEnum } from '@/constants/plugin';
|
||||
|
||||
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
|
||||
try {
|
||||
await authUser({ req, authRoot: true });
|
||||
|
||||
await connectToDatabase();
|
||||
|
||||
// split queue data
|
||||
const result = await TrainingData.aggregate([
|
||||
{
|
||||
$group: {
|
||||
_id: '$mode',
|
||||
count: { $sum: 1 }
|
||||
}
|
||||
}
|
||||
]);
|
||||
|
||||
jsonRes(res, {
|
||||
data: {
|
||||
qaListLen: result.find((item) => item._id === TrainingModeEnum.qa)?.count || 0,
|
||||
vectorListLen: result.find((item) => item._id === TrainingModeEnum.index)?.count || 0
|
||||
}
|
||||
});
|
||||
} catch (error) {
|
||||
console.log(error);
|
||||
jsonRes(res, {
|
||||
code: 500,
|
||||
error
|
||||
});
|
||||
}
|
||||
}
|
||||
@@ -1,39 +0,0 @@
|
||||
import type { NextApiRequest, NextApiResponse } from 'next';
|
||||
import { jsonRes } from '@/service/response';
|
||||
import { connectToDatabase, Chat } from '@/service/mongo';
|
||||
import { authUser } from '@/service/utils/auth';
|
||||
import type { HistoryItemType } from '@/types/chat';
|
||||
|
||||
/* 获取历史记录 */
|
||||
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
|
||||
try {
|
||||
const { userId } = await authUser({ req, authToken: true });
|
||||
|
||||
await connectToDatabase();
|
||||
|
||||
const data = await Chat.find(
|
||||
{
|
||||
userId
|
||||
},
|
||||
'_id title top customTitle modelId updateTime latestChat'
|
||||
)
|
||||
.sort({ top: -1, updateTime: -1 })
|
||||
.limit(20);
|
||||
|
||||
jsonRes<HistoryItemType[]>(res, {
|
||||
data: data.map((item) => ({
|
||||
_id: item._id,
|
||||
updateTime: item.updateTime,
|
||||
modelId: item.modelId,
|
||||
title: item.customTitle || item.title,
|
||||
latestChat: item.latestChat,
|
||||
top: item.top
|
||||
}))
|
||||
});
|
||||
} catch (err) {
|
||||
jsonRes(res, {
|
||||
code: 500,
|
||||
error: err
|
||||
});
|
||||
}
|
||||
}
|
||||
@@ -1,52 +0,0 @@
|
||||
import type { NextApiRequest, NextApiResponse } from 'next';
|
||||
import { jsonRes } from '@/service/response';
|
||||
import { connectToDatabase, Chat } from '@/service/mongo';
|
||||
import { authUser } from '@/service/utils/auth';
|
||||
import { Types } from 'mongoose';
|
||||
|
||||
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
|
||||
try {
|
||||
const { chatId, historyId } = req.query as {
|
||||
chatId: string;
|
||||
historyId: string;
|
||||
};
|
||||
await connectToDatabase();
|
||||
|
||||
const { userId } = await authUser({ req, authToken: true });
|
||||
|
||||
if (!chatId || !historyId) {
|
||||
throw new Error('params is error');
|
||||
}
|
||||
|
||||
const history = await Chat.aggregate([
|
||||
{
|
||||
$match: {
|
||||
_id: new Types.ObjectId(chatId),
|
||||
userId: new Types.ObjectId(userId)
|
||||
}
|
||||
},
|
||||
{
|
||||
$unwind: '$content'
|
||||
},
|
||||
{
|
||||
$match: {
|
||||
'content._id': new Types.ObjectId(historyId)
|
||||
}
|
||||
},
|
||||
{
|
||||
$project: {
|
||||
quote: '$content.quote'
|
||||
}
|
||||
}
|
||||
]);
|
||||
|
||||
jsonRes(res, {
|
||||
data: history[0]?.quote || []
|
||||
});
|
||||
} catch (err) {
|
||||
jsonRes(res, {
|
||||
code: 500,
|
||||
error: err
|
||||
});
|
||||
}
|
||||
}
|
||||
@@ -1,38 +0,0 @@
|
||||
import type { NextApiRequest, NextApiResponse } from 'next';
|
||||
import { jsonRes } from '@/service/response';
|
||||
import { connectToDatabase, Chat } from '@/service/mongo';
|
||||
import { authUser } from '@/service/utils/auth';
|
||||
|
||||
export type Props = {
|
||||
chatId: '' | string;
|
||||
customTitle?: string;
|
||||
top?: boolean;
|
||||
};
|
||||
|
||||
/* 更新聊天标题 */
|
||||
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
|
||||
try {
|
||||
const { chatId, customTitle, top } = req.body as Props;
|
||||
|
||||
const { userId } = await authUser({ req, authToken: true });
|
||||
|
||||
await connectToDatabase();
|
||||
|
||||
await Chat.findOneAndUpdate(
|
||||
{
|
||||
_id: chatId,
|
||||
userId
|
||||
},
|
||||
{
|
||||
...(customTitle ? { customTitle } : {}),
|
||||
...(top ? { top } : { top: null })
|
||||
}
|
||||
);
|
||||
jsonRes(res);
|
||||
} catch (err) {
|
||||
jsonRes(res, {
|
||||
code: 500,
|
||||
error: err
|
||||
});
|
||||
}
|
||||
}
|
||||
@@ -1,57 +0,0 @@
|
||||
import type { NextApiRequest, NextApiResponse } from 'next';
|
||||
import { jsonRes } from '@/service/response';
|
||||
import { connectToDatabase, Chat } from '@/service/mongo';
|
||||
import { authUser } from '@/service/utils/auth';
|
||||
import { Types } from 'mongoose';
|
||||
|
||||
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
|
||||
try {
|
||||
let {
|
||||
chatId,
|
||||
historyId,
|
||||
quoteId,
|
||||
sourceText = ''
|
||||
} = req.query as {
|
||||
chatId: string;
|
||||
historyId: string;
|
||||
quoteId: string;
|
||||
sourceText: string;
|
||||
};
|
||||
await connectToDatabase();
|
||||
|
||||
const { userId } = await authUser({ req, authToken: true });
|
||||
|
||||
if (!chatId || !historyId || !quoteId) {
|
||||
throw new Error('params is error');
|
||||
}
|
||||
|
||||
await Chat.updateOne(
|
||||
{
|
||||
_id: new Types.ObjectId(chatId),
|
||||
userId: new Types.ObjectId(userId),
|
||||
'content._id': new Types.ObjectId(historyId)
|
||||
},
|
||||
{
|
||||
$set: {
|
||||
'content.$.quote.$[quoteElem].source': sourceText
|
||||
}
|
||||
},
|
||||
{
|
||||
arrayFilters: [
|
||||
{
|
||||
'quoteElem.id': quoteId
|
||||
}
|
||||
]
|
||||
}
|
||||
);
|
||||
|
||||
jsonRes(res, {
|
||||
data: ''
|
||||
});
|
||||
} catch (err) {
|
||||
jsonRes(res, {
|
||||
code: 500,
|
||||
error: err
|
||||
});
|
||||
}
|
||||
}
|
||||
@@ -1,109 +0,0 @@
|
||||
import type { NextApiRequest, NextApiResponse } from 'next';
|
||||
import { jsonRes } from '@/service/response';
|
||||
import { ChatItemType } from '@/types/chat';
|
||||
import { connectToDatabase, Chat, Model } from '@/service/mongo';
|
||||
import { authModel } from '@/service/utils/auth';
|
||||
import { authUser } from '@/service/utils/auth';
|
||||
import { Types } from 'mongoose';
|
||||
|
||||
type Props = {
|
||||
chatId?: string;
|
||||
modelId: string;
|
||||
prompts: [ChatItemType, ChatItemType];
|
||||
};
|
||||
|
||||
/* 聊天内容存存储 */
|
||||
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
|
||||
try {
|
||||
const { chatId, modelId, prompts } = req.body as Props;
|
||||
|
||||
if (!prompts) {
|
||||
throw new Error('缺少参数');
|
||||
}
|
||||
|
||||
const { userId } = await authUser({ req, authToken: true });
|
||||
|
||||
const response = await saveChat({
|
||||
chatId,
|
||||
modelId,
|
||||
prompts,
|
||||
userId
|
||||
});
|
||||
|
||||
jsonRes(res, {
|
||||
data: response
|
||||
});
|
||||
} catch (err) {
|
||||
jsonRes(res, {
|
||||
code: 500,
|
||||
error: err
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
export async function saveChat({
|
||||
newChatId,
|
||||
chatId,
|
||||
modelId,
|
||||
prompts,
|
||||
userId
|
||||
}: Props & { newChatId?: Types.ObjectId; userId: string }) {
|
||||
await connectToDatabase();
|
||||
const { model } = await authModel({ modelId, userId, authOwner: false });
|
||||
|
||||
const content = prompts.map((item) => ({
|
||||
_id: item._id,
|
||||
obj: item.obj,
|
||||
value: item.value,
|
||||
systemPrompt: item.systemPrompt || '',
|
||||
quote: item.quote || []
|
||||
}));
|
||||
|
||||
if (String(model.userId) === userId) {
|
||||
await Model.findByIdAndUpdate(modelId, {
|
||||
updateTime: new Date()
|
||||
});
|
||||
}
|
||||
|
||||
const [response] = await Promise.all([
|
||||
...(chatId
|
||||
? [
|
||||
Chat.findByIdAndUpdate(chatId, {
|
||||
$push: {
|
||||
content: {
|
||||
$each: content
|
||||
}
|
||||
},
|
||||
title: content[0].value.slice(0, 20),
|
||||
latestChat: content[1].value,
|
||||
updateTime: new Date()
|
||||
}).then(() => ({
|
||||
newChatId: ''
|
||||
}))
|
||||
]
|
||||
: [
|
||||
Chat.create({
|
||||
_id: newChatId,
|
||||
userId,
|
||||
modelId,
|
||||
content,
|
||||
title: content[0].value.slice(0, 20),
|
||||
latestChat: content[1].value
|
||||
}).then((res) => ({
|
||||
newChatId: String(res._id)
|
||||
}))
|
||||
]),
|
||||
// update model
|
||||
...(String(model.userId) === userId
|
||||
? [
|
||||
Model.findByIdAndUpdate(modelId, {
|
||||
updateTime: new Date()
|
||||
})
|
||||
]
|
||||
: [])
|
||||
]);
|
||||
|
||||
return {
|
||||
...response
|
||||
};
|
||||
}
|
||||
@@ -1,112 +0,0 @@
|
||||
import type { NextApiRequest, NextApiResponse } from 'next';
|
||||
import { jsonRes } from '@/service/response';
|
||||
import { connectToDatabase, Model } from '@/service/mongo';
|
||||
import type { PagingData } from '@/types';
|
||||
import type { ShareModelItem } from '@/types/model';
|
||||
import { parseCookie } from '@/service/utils/auth';
|
||||
import { Types } from 'mongoose';
|
||||
|
||||
/* 获取模型列表 */
|
||||
export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
|
||||
try {
|
||||
const {
|
||||
searchText = '',
|
||||
pageNum = 1,
|
||||
pageSize = 20
|
||||
} = req.body as { searchText: string; pageNum: number; pageSize: number };
|
||||
|
||||
await connectToDatabase();
|
||||
|
||||
let userId = '';
|
||||
|
||||
try {
|
||||
userId = await parseCookie(req.headers.cookie);
|
||||
} catch (error) {
|
||||
error;
|
||||
}
|
||||
|
||||
const regex = new RegExp(searchText, 'i');
|
||||
|
||||
const where = {
|
||||
$and: [
|
||||
{ 'share.isShare': true },
|
||||
{
|
||||
$or: [{ name: { $regex: regex } }, { intro: { $regex: regex } }]
|
||||
}
|
||||
]
|
||||
};
|
||||
const pipeline = [
|
||||
{
|
||||
$match: where
|
||||
},
|
||||
{
|
||||
$lookup: {
|
||||
from: 'collections',
|
||||
let: { modelId: '$_id' },
|
||||
pipeline: [
|
||||
{
|
||||
$match: {
|
||||
$expr: {
|
||||
$and: [
|
||||
{ $eq: ['$modelId', '$$modelId'] },
|
||||
{
|
||||
$eq: ['$userId', userId ? new Types.ObjectId(userId) : new Types.ObjectId()]
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
as: 'collections'
|
||||
}
|
||||
},
|
||||
{
|
||||
$project: {
|
||||
_id: 1,
|
||||
avatar: { $ifNull: ['$avatar', '/icon/logo.png'] },
|
||||
name: 1,
|
||||
userId: 1,
|
||||
intro: 1,
|
||||
share: 1,
|
||||
isCollection: {
|
||||
$cond: {
|
||||
if: { $gt: [{ $size: '$collections' }, 0] },
|
||||
then: true,
|
||||
else: false
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
{
|
||||
$sort: { 'share.topNum': -1, 'share.collection': -1 }
|
||||
},
|
||||
{
|
||||
$skip: (pageNum - 1) * pageSize
|
||||
},
|
||||
{
|
||||
$limit: pageSize
|
||||
}
|
||||
];
|
||||
|
||||
// 获取被分享的模型
|
||||
const [models, total] = await Promise.all([
|
||||
// @ts-ignore
|
||||
Model.aggregate(pipeline),
|
||||
Model.countDocuments(where)
|
||||
]);
|
||||
|
||||
jsonRes<PagingData<ShareModelItem>>(res, {
|
||||
data: {
|
||||
pageNum,
|
||||
pageSize,
|
||||
data: models,
|
||||
total
|
||||
}
|
||||
});
|
||||
} catch (err) {
|
||||
jsonRes(res, {
|
||||
code: 500,
|
||||
error: err
|
||||
});
|
||||
}
|
||||
}
|
||||
@@ -1,170 +0,0 @@
|
||||
import type { NextApiRequest, NextApiResponse } from 'next';
|
||||
import { connectToDatabase } from '@/service/mongo';
|
||||
import { authUser, authModel, getApiKey } from '@/service/utils/auth';
|
||||
import { modelServiceToolMap, resStreamResponse } from '@/service/utils/chat';
|
||||
import { ChatItemType } from '@/types/chat';
|
||||
import { jsonRes } from '@/service/response';
|
||||
import { ChatModelMap } from '@/constants/model';
|
||||
import { pushChatBill } from '@/service/events/pushBill';
|
||||
import { ChatRoleEnum } from '@/constants/chat';
|
||||
import { withNextCors } from '@/service/utils/tools';
|
||||
import { BillTypeEnum } from '@/constants/user';
|
||||
import { appKbSearch } from '../kb/appKbSearch';
|
||||
|
||||
/* 发送提示词 */
|
||||
export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse) {
|
||||
res.on('close', () => {
|
||||
res.end();
|
||||
});
|
||||
res.on('error', () => {
|
||||
console.log('error: ', 'request error');
|
||||
res.end();
|
||||
});
|
||||
|
||||
try {
|
||||
const {
|
||||
chatId,
|
||||
prompts,
|
||||
modelId,
|
||||
isStream = true
|
||||
} = req.body as {
|
||||
chatId?: string;
|
||||
prompts: ChatItemType[];
|
||||
modelId: string;
|
||||
isStream: boolean;
|
||||
};
|
||||
|
||||
if (!prompts || !modelId) {
|
||||
throw new Error('缺少参数');
|
||||
}
|
||||
if (!Array.isArray(prompts)) {
|
||||
throw new Error('prompts is not array');
|
||||
}
|
||||
if (prompts.length > 30 || prompts.length === 0) {
|
||||
throw new Error('Prompts arr length range 1-30');
|
||||
}
|
||||
|
||||
await connectToDatabase();
|
||||
let startTime = Date.now();
|
||||
|
||||
/* 凭证校验 */
|
||||
const { userId } = await authUser({ req });
|
||||
|
||||
const { model } = await authModel({
|
||||
userId,
|
||||
modelId
|
||||
});
|
||||
|
||||
/* get api key */
|
||||
const { systemAuthKey: apiKey } = await getApiKey({
|
||||
model: model.chat.chatModel,
|
||||
userId,
|
||||
mustPay: true
|
||||
});
|
||||
|
||||
const modelConstantsData = ChatModelMap[model.chat.chatModel];
|
||||
const prompt = prompts[prompts.length - 1];
|
||||
|
||||
const { userSystemPrompt = [], quotePrompt = [] } = await (async () => {
|
||||
// 使用了知识库搜索
|
||||
if (model.chat.relatedKbs?.length > 0) {
|
||||
const { userSystemPrompt, quotePrompt } = await appKbSearch({
|
||||
model,
|
||||
userId,
|
||||
fixedQuote: [],
|
||||
prompt: prompt,
|
||||
similarity: model.chat.searchSimilarity,
|
||||
limit: model.chat.searchLimit
|
||||
});
|
||||
|
||||
return {
|
||||
userSystemPrompt: userSystemPrompt ? [userSystemPrompt] : [],
|
||||
quotePrompt: [quotePrompt]
|
||||
};
|
||||
}
|
||||
if (model.chat.systemPrompt) {
|
||||
return {
|
||||
userSystemPrompt: [
|
||||
{
|
||||
obj: ChatRoleEnum.System,
|
||||
value: model.chat.systemPrompt
|
||||
}
|
||||
]
|
||||
};
|
||||
}
|
||||
return {};
|
||||
})();
|
||||
|
||||
// search result is empty
|
||||
if (model.chat.relatedKbs?.length > 0 && !quotePrompt[0]?.value && model.chat.searchEmptyText) {
|
||||
const response = model.chat.searchEmptyText;
|
||||
return res.end(response);
|
||||
}
|
||||
|
||||
// 读取对话内容
|
||||
const completePrompts = [...quotePrompt, ...prompts.slice(0, -1), ...userSystemPrompt, prompt];
|
||||
|
||||
// 计算温度
|
||||
const temperature = (modelConstantsData.maxTemperature * (model.chat.temperature / 10)).toFixed(
|
||||
2
|
||||
);
|
||||
|
||||
// 发出请求
|
||||
const { streamResponse, responseMessages, responseText, totalTokens } =
|
||||
await modelServiceToolMap[model.chat.chatModel].chatCompletion({
|
||||
apiKey,
|
||||
temperature: +temperature,
|
||||
messages: completePrompts,
|
||||
stream: isStream,
|
||||
res
|
||||
});
|
||||
|
||||
console.log('api response time:', `${(Date.now() - startTime) / 1000}s`);
|
||||
|
||||
if (res.closed) return res.end();
|
||||
|
||||
const { textLen = 0, tokens = totalTokens } = await (async () => {
|
||||
if (isStream) {
|
||||
try {
|
||||
const { finishMessages, totalTokens } = await resStreamResponse({
|
||||
model: model.chat.chatModel,
|
||||
res,
|
||||
chatResponse: streamResponse,
|
||||
prompts: responseMessages
|
||||
});
|
||||
res.end();
|
||||
return {
|
||||
textLen: finishMessages.map((item) => item.value).join('').length,
|
||||
tokens: totalTokens
|
||||
};
|
||||
} catch (error) {
|
||||
res.end();
|
||||
console.log('error,结束', error);
|
||||
}
|
||||
} else {
|
||||
jsonRes(res, {
|
||||
data: responseText
|
||||
});
|
||||
return {
|
||||
textLen: responseMessages.map((item) => item.value).join('').length
|
||||
};
|
||||
}
|
||||
return {};
|
||||
})();
|
||||
|
||||
pushChatBill({
|
||||
isPay: true,
|
||||
chatModel: model.chat.chatModel,
|
||||
userId,
|
||||
textLen,
|
||||
tokens,
|
||||
type: BillTypeEnum.openapiChat
|
||||
});
|
||||
} catch (err: any) {
|
||||
res.status(500);
|
||||
jsonRes(res, {
|
||||
code: 500,
|
||||
error: err
|
||||
});
|
||||
}
|
||||
});
|
||||
@@ -1,172 +0,0 @@
|
||||
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 type { ChatItemType } from '@/types/chat';
|
||||
import type { ModelSchema } from '@/types/mongoSchema';
|
||||
import { authModel } from '@/service/utils/auth';
|
||||
import { ChatModelMap } from '@/constants/model';
|
||||
import { ChatRoleEnum } from '@/constants/chat';
|
||||
import { openaiEmbedding } from '../plugin/openaiEmbedding';
|
||||
import { modelToolMap } from '@/utils/plugin';
|
||||
|
||||
export type QuoteItemType = {
|
||||
id: string;
|
||||
q: string;
|
||||
a: string;
|
||||
source?: string;
|
||||
};
|
||||
type Props = {
|
||||
prompts: ChatItemType[];
|
||||
similarity: number;
|
||||
limit: number;
|
||||
appId: string;
|
||||
};
|
||||
type Response = {
|
||||
rawSearch: QuoteItemType[];
|
||||
userSystemPrompt: {
|
||||
obj: ChatRoleEnum;
|
||||
value: string;
|
||||
};
|
||||
quotePrompt: {
|
||||
obj: ChatRoleEnum;
|
||||
value: string;
|
||||
};
|
||||
};
|
||||
|
||||
export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
|
||||
try {
|
||||
const { userId } = await authUser({ req });
|
||||
|
||||
if (!userId) {
|
||||
throw new Error('userId is empty');
|
||||
}
|
||||
|
||||
const { prompts, similarity, limit, appId } = req.body as Props;
|
||||
|
||||
if (!similarity || !Array.isArray(prompts) || !appId) {
|
||||
throw new Error('params is error');
|
||||
}
|
||||
|
||||
// auth model
|
||||
const { model } = await authModel({
|
||||
modelId: appId,
|
||||
userId
|
||||
});
|
||||
|
||||
const result = await appKbSearch({
|
||||
model,
|
||||
userId,
|
||||
fixedQuote: [],
|
||||
prompt: prompts[prompts.length - 1],
|
||||
similarity,
|
||||
limit
|
||||
});
|
||||
|
||||
jsonRes<Response>(res, {
|
||||
data: result
|
||||
});
|
||||
} catch (err) {
|
||||
console.log(err);
|
||||
jsonRes(res, {
|
||||
code: 500,
|
||||
error: err
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
export async function appKbSearch({
|
||||
model,
|
||||
userId,
|
||||
fixedQuote = [],
|
||||
prompt,
|
||||
similarity = 0.8,
|
||||
limit = 5
|
||||
}: {
|
||||
model: ModelSchema;
|
||||
userId: string;
|
||||
fixedQuote?: QuoteItemType[];
|
||||
prompt: ChatItemType;
|
||||
similarity: number;
|
||||
limit: number;
|
||||
}): Promise<Response> {
|
||||
const modelConstantsData = ChatModelMap[model.chat.chatModel];
|
||||
|
||||
// get vector
|
||||
const promptVector = await openaiEmbedding({
|
||||
userId,
|
||||
input: [prompt.value]
|
||||
});
|
||||
|
||||
// search kb
|
||||
const res: any = await PgClient.query(
|
||||
`BEGIN;
|
||||
SET LOCAL ivfflat.probes = ${global.systemEnv.pgIvfflatProbe || 10};
|
||||
select id,q,a,source from modelData where kb_id IN (${model.chat.relatedKbs
|
||||
.map((item) => `'${item}'`)
|
||||
.join(',')}) AND vector <#> '[${promptVector[0]}]' < -${similarity} order by vector <#> '[${
|
||||
promptVector[0]
|
||||
}]' limit ${limit};
|
||||
COMMIT;`
|
||||
);
|
||||
|
||||
const searchRes: QuoteItemType[] = res?.[2]?.rows || [];
|
||||
|
||||
// filter same search result
|
||||
const idSet = new Set<string>();
|
||||
const filterSearch = [
|
||||
...searchRes.slice(0, 3),
|
||||
...fixedQuote.slice(0, 2),
|
||||
...searchRes.slice(3),
|
||||
...fixedQuote.slice(2, Math.floor(fixedQuote.length * 0.4))
|
||||
].filter((item) => {
|
||||
if (idSet.has(item.id)) {
|
||||
return false;
|
||||
}
|
||||
idSet.add(item.id);
|
||||
return true;
|
||||
});
|
||||
|
||||
// 计算固定提示词的 token 数量
|
||||
const userSystemPrompt = model.chat.systemPrompt // user system prompt
|
||||
? {
|
||||
obj: ChatRoleEnum.Human,
|
||||
value: model.chat.systemPrompt
|
||||
}
|
||||
: {
|
||||
obj: ChatRoleEnum.Human,
|
||||
value: `知识库是关于 ${model.name} 的内容,参考知识库回答问题。与 "${model.name}" 无关内容,直接回复: "我不知道"。`
|
||||
};
|
||||
|
||||
const fixedSystemTokens = modelToolMap[model.chat.chatModel].countTokens({
|
||||
messages: [userSystemPrompt]
|
||||
});
|
||||
|
||||
// filter part quote by maxToken
|
||||
const sliceResult = modelToolMap[model.chat.chatModel]
|
||||
.tokenSlice({
|
||||
maxToken: modelConstantsData.systemMaxToken - fixedSystemTokens,
|
||||
messages: filterSearch.map((item, i) => ({
|
||||
obj: ChatRoleEnum.System,
|
||||
value: `${i + 1}: [${item.q}\n${item.a}]`
|
||||
}))
|
||||
})
|
||||
.map((item) => item.value)
|
||||
.join('\n')
|
||||
.trim();
|
||||
|
||||
// slice filterSearch
|
||||
const rawSearch = filterSearch.slice(0, sliceResult.length);
|
||||
|
||||
const quoteText = sliceResult ? `知识库:\n${sliceResult}` : '';
|
||||
|
||||
return {
|
||||
rawSearch,
|
||||
userSystemPrompt,
|
||||
quotePrompt: {
|
||||
obj: ChatRoleEnum.System,
|
||||
value: quoteText
|
||||
}
|
||||
};
|
||||
}
|
||||
@@ -1,167 +0,0 @@
|
||||
import type { NextApiRequest, NextApiResponse } from 'next';
|
||||
import { jsonRes } from '@/service/response';
|
||||
import { connectToDatabase, TrainingData } from '@/service/mongo';
|
||||
import { authUser } from '@/service/utils/auth';
|
||||
import { authKb } from '@/service/utils/auth';
|
||||
import { withNextCors } from '@/service/utils/tools';
|
||||
import { TrainingModeEnum } from '@/constants/plugin';
|
||||
import { startQueue } from '@/service/utils/tools';
|
||||
import { PgClient } from '@/service/pg';
|
||||
import { modelToolMap } from '@/utils/plugin';
|
||||
import { OpenAiChatEnum } from '@/constants/model';
|
||||
|
||||
type DateItemType = { a: string; q: string; source?: string };
|
||||
|
||||
export type Props = {
|
||||
kbId: string;
|
||||
data: DateItemType[];
|
||||
mode: `${TrainingModeEnum}`;
|
||||
prompt?: string;
|
||||
};
|
||||
|
||||
export type Response = {
|
||||
insertLen: number;
|
||||
};
|
||||
|
||||
const modeMaxToken = {
|
||||
[TrainingModeEnum.index]: 6000,
|
||||
[TrainingModeEnum.qa]: 10000
|
||||
};
|
||||
|
||||
export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
|
||||
try {
|
||||
const { kbId, data, mode, prompt } = req.body as Props;
|
||||
|
||||
if (!kbId || !Array.isArray(data)) {
|
||||
throw new Error('缺少参数');
|
||||
}
|
||||
await connectToDatabase();
|
||||
|
||||
// 凭证校验
|
||||
const { userId } = await authUser({ req });
|
||||
|
||||
jsonRes<Response>(res, {
|
||||
data: await pushDataToKb({
|
||||
kbId,
|
||||
data,
|
||||
userId,
|
||||
mode,
|
||||
prompt
|
||||
})
|
||||
});
|
||||
} catch (err) {
|
||||
jsonRes(res, {
|
||||
code: 500,
|
||||
error: err
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
export async function pushDataToKb({
|
||||
userId,
|
||||
kbId,
|
||||
data,
|
||||
mode,
|
||||
prompt
|
||||
}: { userId: string } & Props): Promise<Response> {
|
||||
await authKb({
|
||||
userId,
|
||||
kbId
|
||||
});
|
||||
|
||||
// 过滤重复的 qa 内容
|
||||
const set = new Set();
|
||||
const filterData: DateItemType[] = [];
|
||||
|
||||
data.forEach((item) => {
|
||||
const text = item.q + item.a;
|
||||
|
||||
if (mode === TrainingModeEnum.qa) {
|
||||
// count token
|
||||
const token = modelToolMap[OpenAiChatEnum.GPT3516k].countTokens({
|
||||
messages: [{ obj: 'System', value: item.q }]
|
||||
});
|
||||
if (token > modeMaxToken[TrainingModeEnum.qa]) {
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
if (!set.has(text)) {
|
||||
filterData.push(item);
|
||||
set.add(text);
|
||||
}
|
||||
});
|
||||
|
||||
// 数据库去重
|
||||
const insertData = (
|
||||
await Promise.allSettled(
|
||||
filterData.map(async ({ q, a = '', source }) => {
|
||||
if (mode !== TrainingModeEnum.index) {
|
||||
return Promise.resolve({
|
||||
q,
|
||||
a,
|
||||
source
|
||||
});
|
||||
}
|
||||
|
||||
if (!q) {
|
||||
return Promise.reject('q为空');
|
||||
}
|
||||
|
||||
q = q.replace(/\\n/g, '\n').trim().replace(/'/g, '"');
|
||||
a = a.replace(/\\n/g, '\n').trim().replace(/'/g, '"');
|
||||
|
||||
// Exactly the same data, not push
|
||||
try {
|
||||
const { rows } = await PgClient.query(`
|
||||
SELECT COUNT(*) > 0 AS exists
|
||||
FROM modelData
|
||||
WHERE md5(q)=md5('${q}') AND md5(a)=md5('${a}') AND user_id='${userId}' AND kb_id='${kbId}'
|
||||
`);
|
||||
const exists = rows[0]?.exists || false;
|
||||
|
||||
if (exists) {
|
||||
return Promise.reject('已经存在');
|
||||
}
|
||||
} catch (error) {
|
||||
console.log(error);
|
||||
error;
|
||||
}
|
||||
return Promise.resolve({
|
||||
q,
|
||||
a,
|
||||
source
|
||||
});
|
||||
})
|
||||
)
|
||||
)
|
||||
.filter((item) => item.status === 'fulfilled')
|
||||
.map<DateItemType>((item: any) => item.value);
|
||||
|
||||
// 插入记录
|
||||
await TrainingData.insertMany(
|
||||
insertData.map((item) => ({
|
||||
q: item.q,
|
||||
a: item.a,
|
||||
source: item.source,
|
||||
userId,
|
||||
kbId,
|
||||
mode,
|
||||
prompt
|
||||
}))
|
||||
);
|
||||
|
||||
insertData.length > 0 && startQueue();
|
||||
|
||||
return {
|
||||
insertLen: insertData.length
|
||||
};
|
||||
}
|
||||
|
||||
export const config = {
|
||||
api: {
|
||||
bodyParser: {
|
||||
sizeLimit: '20mb'
|
||||
}
|
||||
}
|
||||
};
|
||||
@@ -1,54 +0,0 @@
|
||||
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]
|
||||
});
|
||||
|
||||
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 <#> '[${
|
||||
vector[0]
|
||||
}]' limit 12;
|
||||
COMMIT;`
|
||||
);
|
||||
|
||||
jsonRes<Response>(res, { data: response?.[2]?.rows || [] });
|
||||
} catch (err) {
|
||||
console.log(err);
|
||||
jsonRes(res, {
|
||||
code: 500,
|
||||
error: err
|
||||
});
|
||||
}
|
||||
});
|
||||
@@ -1,52 +0,0 @@
|
||||
import type { NextApiRequest, NextApiResponse } from 'next';
|
||||
import { jsonRes } from '@/service/response';
|
||||
import { authUser } from '@/service/utils/auth';
|
||||
import { PgClient } from '@/service/pg';
|
||||
import { withNextCors } from '@/service/utils/tools';
|
||||
import { openaiEmbedding } from '../plugin/openaiEmbedding';
|
||||
|
||||
export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
|
||||
try {
|
||||
const { dataId, a = '', q = '' } = req.body as { dataId: string; a?: string; q?: string };
|
||||
|
||||
if (!dataId) {
|
||||
throw new Error('缺少参数');
|
||||
}
|
||||
|
||||
// 凭证校验
|
||||
const { userId } = await authUser({ req });
|
||||
|
||||
// get vector
|
||||
const vector = await (async () => {
|
||||
if (q) {
|
||||
return openaiEmbedding({
|
||||
userId,
|
||||
input: [q]
|
||||
});
|
||||
}
|
||||
return [];
|
||||
})();
|
||||
|
||||
// 更新 pg 内容.仅修改a,不需要更新向量。
|
||||
await PgClient.update('modelData', {
|
||||
where: [['id', dataId], 'AND', ['user_id', userId]],
|
||||
values: [
|
||||
{ key: 'source', value: '手动修改' },
|
||||
{ key: 'a', value: a.replace(/'/g, '"') },
|
||||
...(q
|
||||
? [
|
||||
{ key: 'q', value: q.replace(/'/g, '"') },
|
||||
{ key: 'vector', value: `[${vector[0]}]` }
|
||||
]
|
||||
: [])
|
||||
]
|
||||
});
|
||||
|
||||
jsonRes(res);
|
||||
} catch (err) {
|
||||
jsonRes(res, {
|
||||
code: 500,
|
||||
error: err
|
||||
});
|
||||
}
|
||||
});
|
||||
@@ -1,78 +0,0 @@
|
||||
import type { NextApiRequest, NextApiResponse } from 'next';
|
||||
import { jsonRes } from '@/service/response';
|
||||
import { authUser, getApiKey, getSystemOpenAiKey } from '@/service/utils/auth';
|
||||
import { withNextCors } from '@/service/utils/tools';
|
||||
import { getOpenAIApi } from '@/service/utils/chat/openai';
|
||||
import { embeddingModel } from '@/constants/model';
|
||||
import { axiosConfig } from '@/service/utils/tools';
|
||||
import { pushGenerateVectorBill } from '@/service/events/pushBill';
|
||||
import { OpenAiChatEnum } from '@/constants/model';
|
||||
|
||||
type Props = {
|
||||
input: string[];
|
||||
};
|
||||
type Response = number[][];
|
||||
|
||||
export default withNextCors(async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
|
||||
try {
|
||||
const { userId } = await authUser({ req });
|
||||
let { input } = req.query as Props;
|
||||
|
||||
if (!Array.isArray(input)) {
|
||||
throw new Error('缺少参数');
|
||||
}
|
||||
|
||||
jsonRes<Response>(res, {
|
||||
data: await openaiEmbedding({ userId, input, mustPay: true })
|
||||
});
|
||||
} catch (err) {
|
||||
console.log(err);
|
||||
jsonRes(res, {
|
||||
code: 500,
|
||||
error: err
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
export async function openaiEmbedding({
|
||||
userId,
|
||||
input,
|
||||
mustPay = false
|
||||
}: { userId: string; mustPay?: boolean } & Props) {
|
||||
const apiKey = getSystemOpenAiKey();
|
||||
|
||||
// 获取 chatAPI
|
||||
const chatAPI = getOpenAIApi(apiKey);
|
||||
|
||||
// 把输入的内容转成向量
|
||||
const result = await chatAPI
|
||||
.createEmbedding(
|
||||
{
|
||||
model: embeddingModel,
|
||||
input
|
||||
},
|
||||
{
|
||||
timeout: 60000,
|
||||
...axiosConfig(apiKey)
|
||||
}
|
||||
)
|
||||
.then((res) => {
|
||||
if (!res.data?.usage?.total_tokens) {
|
||||
// @ts-ignore
|
||||
return Promise.reject(res.data?.error?.message || 'Embedding Error');
|
||||
}
|
||||
return {
|
||||
tokenLen: res.data.usage.total_tokens || 0,
|
||||
vectors: res.data.data.map((item) => item.embedding)
|
||||
};
|
||||
});
|
||||
|
||||
pushGenerateVectorBill({
|
||||
isPay: mustPay,
|
||||
userId,
|
||||
text: input.join(''),
|
||||
tokenLen: result.tokenLen
|
||||
});
|
||||
|
||||
return result.vectors;
|
||||
}
|
||||