Compare commits
1 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
a290369fc6 |
33
.env.template
Normal file
@@ -0,0 +1,33 @@
|
||||
# proxy
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||||
# AXIOS_PROXY_HOST=127.0.0.1
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# AXIOS_PROXY_PORT=7890
|
||||
# email
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MY_MAIL=xxx@qq.com
|
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MAILE_CODE=xxx
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# ali ems
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aliAccessKeyId=xxx
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aliAccessKeySecret=xxx
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aliSignName=xxx
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aliTemplateCode=SMS_xxx
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# token
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TOKEN_KEY=xxx
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# root key, 最高权限
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ROOT_KEY=xxx
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# 是否进行安全校验(1: 开启,0: 关闭)
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SENSITIVE_CHECK=1
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# openai
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# OPENAI_BASE_URL=https://api.openai.com/v1
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# OPENAI_BASE_URL_AUTH=可选的安全凭证(不需要的时候,记得去掉)
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OPENAIKEY=sk-xxx # 对话用的key
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OPENAI_TRAINING_KEY=sk-xxx # 训练用的key
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GPT4KEY=sk-xxx
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# claude
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CLAUDE_BASE_URL=calude模型请求地址
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CLAUDE_KEY=CLAUDE_KEY
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# db
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MONGODB_URI=mongodb://username:password@0.0.0.0:27017/test?authSource=admin
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PG_HOST=0.0.0.0
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PG_PORT=8100
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PG_USER=xxx
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PG_PASSWORD=xxx
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PG_DB_NAME=xxx
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77
.github/workflows/image.yml
vendored
@@ -1,77 +0,0 @@
|
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name: Build images and copy image to docker
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on:
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workflow_dispatch:
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push:
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branches:
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- 'main'
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||||
tags:
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||||
- 'v*.*.*'
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jobs:
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build-images:
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runs-on: ubuntu-20.04
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||||
steps:
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- name: Checkout
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uses: actions/checkout@v3
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with:
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fetch-depth: 1
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- name: Install Dependencies
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run: |
|
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sudo apt update && sudo apt install -y nodejs npm
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||||
- name: Set up QEMU (optional)
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uses: docker/setup-qemu-action@v2
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||||
- name: Set up Docker Buildx
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||||
uses: docker/setup-buildx-action@v2
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||||
with:
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||||
driver-opts: network=host
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||||
- name: Login to GitHub Container Registry
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||||
uses: docker/login-action@v2
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with:
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registry: ghcr.io
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||||
username: ${{ github.repository_owner }}
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password: ${{ secrets.GH_PAT }}
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- name: Set DOCKER_REPO_TAGGED based on branch or tag
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run: |
|
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if [[ "${{ github.ref_name }}" == "main" ]]; then
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echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt:latest" >> $GITHUB_ENV
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else
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echo "DOCKER_REPO_TAGGED=ghcr.io/${{ github.repository_owner }}/fastgpt:${{ github.ref_name }}" >> $GITHUB_ENV
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fi
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|
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- name: Build and publish image for main branch or tag push event
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||||
env:
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DOCKER_REPO_TAGGED: ${{ env.DOCKER_REPO_TAGGED }}
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run: |
|
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cd client && \
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docker buildx build \
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--platform linux/amd64,linux/arm64 \
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--label "org.opencontainers.image.source= https://github.com/ ${{ github.repository_owner }}/FastGPT" \
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--label "org.opencontainers.image.description=fastgpt image" \
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--label "org.opencontainers.image.licenses=MIT" \
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--push \
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-t ${DOCKER_REPO_TAGGED} \
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-f Dockerfile \
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.
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push-to-docker-hub:
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needs: build-images
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runs-on: ubuntu-20.04
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steps:
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||||
- name: Checkout code
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uses: actions/checkout@v3
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||||
- name: Login to Docker Hub
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||||
uses: docker/login-action@v2
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||||
with:
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username: ${{ secrets.DOCKER_HUB_NAME }}
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||||
password: ${{ secrets.DOCKER_HUB_PASSWORD }}
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||||
- name: Set DOCKER_REPO_TAGGED based on branch or tag
|
||||
run: |
|
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if [[ "${{ github.ref_name }}" == "main" ]]; then
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echo "IMAGE_TAG=latest" >> $GITHUB_ENV
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else
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echo "IMAGE_TAG=${{ github.ref_name }}" >> $GITHUB_ENV
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fi
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- name: Pull image from GitHub Container Registry
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run: docker pull ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}}
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- name: Tag image with Docker Hub repository name and version tag
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||||
run: docker tag ghcr.io/${{ github.repository_owner }}/fastgpt:${{env.IMAGE_TAG}} ${{ secrets.DOCKER_IMAGE_NAME }}:${{env.IMAGE_TAG}}
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||||
- 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:
|
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- '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
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||||
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: ${{ secrets.GH_PAT }}
|
||||
- name: build and publish image
|
||||
env:
|
||||
# fork friendly ^^
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||||
DOCKER_REPO: ghcr.io/${{ github.repository_owner }}/fastgpt
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||||
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" \
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||||
--push \
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||||
-t ${DOCKER_REPO}:latest \
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||||
-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
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||||
/.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)
|
||||
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
|
||||
@@ -1,11 +1,11 @@
|
||||
# Fast GPT
|
||||
|
||||
Fast GPT 允许你使用自己的 openai API KEY 来快速的调用 openai 接口,目前集成了 Gpt35, Gpt4 和 embedding. 可构建自己的知识库。
|
||||
Fast GPT 允许你使用自己的 openai API KEY 来快速的调用 openai 接口,目前集成了 gpt35 和 embedding. 可构建自己的知识库。
|
||||
|
||||
## 🛸 在线体验
|
||||
|
||||
🎉 [fastgpt.run](https://fastgpt.run/)
|
||||
🎉 [ai.fastgpt.run](https://ai.fastgpt.run/)
|
||||
🎉 [fastgpt.run](https://fastgpt.run/) (国内版)
|
||||
🎉 [ai.fastgpt.run](https://ai.fastgpt.run/) (海外版)
|
||||
|
||||

|
||||
|
||||
@@ -21,8 +21,7 @@ Fast GPT 允许你使用自己的 openai API KEY 来快速的调用 openai 接
|
||||
|
||||
## 🚀 私有化部署
|
||||
|
||||
- [Sealos 部署](https://sealos.io/docs/examples/ai-applications/install-fastgpt-on-desktop) 无需服务器,代理和域名。
|
||||
- [docker-compose 部署](docs/deploy/docker.md)
|
||||
- [docker-compose 部署教程](docs/deploy/docker.md)
|
||||
- [由社区贡献的宝塔部署和本地运行教程](https://space.bilibili.com/431177525/channel/collectiondetail?sid=1370663)
|
||||
|
||||
## :point_right: RoadMap
|
||||
|
||||
@@ -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
|
||||
copyright notice that is included in or attached to the work
|
||||
(an example is provided in the Appendix below).
|
||||
|
||||
"Derivative Works" shall mean any work, whether in Source or Object
|
||||
form, that is based on (or derived from) the Work and for which the
|
||||
editorial revisions, annotations, elaborations, or other modifications
|
||||
represent, as a whole, an original work of authorship. For the purposes
|
||||
of this License, Derivative Works shall not include works that remain
|
||||
separable from, or merely link (or bind by name) to the interfaces of,
|
||||
the Work and Derivative Works thereof.
|
||||
|
||||
"Contribution" shall mean any work of authorship, including
|
||||
the original version of the Work and any modifications or additions
|
||||
to that Work or Derivative Works thereof, that is intentionally
|
||||
submitted to Licensor for inclusion in the Work by the copyright owner
|
||||
or by an individual or Legal Entity authorized to submit on behalf of
|
||||
the copyright owner. For the purposes of this definition, "submitted"
|
||||
means any form of electronic, verbal, or written communication sent
|
||||
to the Licensor or its representatives, including but not limited to
|
||||
communication on electronic mailing lists, source code control systems,
|
||||
and issue tracking systems that are managed by, or on behalf of, the
|
||||
Licensor for the purpose of discussing and improving the Work, but
|
||||
excluding communication that is conspicuously marked or otherwise
|
||||
designated in writing by the copyright owner as "Not a Contribution."
|
||||
|
||||
"Contributor" shall mean Licensor and any individual or Legal Entity
|
||||
on behalf of whom a Contribution has been received by Licensor and
|
||||
subsequently incorporated within the Work.
|
||||
|
||||
2. Grant of Copyright License. Subject to the terms and conditions of
|
||||
this License, each Contributor hereby grants to You a perpetual,
|
||||
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
|
||||
copyright license to reproduce, prepare Derivative Works of,
|
||||
publicly display, publicly perform, sublicense, and distribute the
|
||||
Work and such Derivative Works in Source or Object form.
|
||||
|
||||
3. Grant of Patent License. Subject to the terms and conditions of
|
||||
this License, each Contributor hereby grants to You a perpetual,
|
||||
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
|
||||
(except as stated in this section) patent license to make, have made,
|
||||
use, offer to sell, sell, import, and otherwise transfer the Work,
|
||||
where such license applies only to those patent claims licensable
|
||||
by such Contributor that are necessarily infringed by their
|
||||
Contribution(s) alone or by combination of their Contribution(s)
|
||||
with the Work to which such Contribution(s) was submitted. If You
|
||||
institute patent litigation against any entity (including a
|
||||
cross-claim or counterclaim in a lawsuit) alleging that the Work
|
||||
or a Contribution incorporated within the Work constitutes direct
|
||||
or contributory patent infringement, then any patent licenses
|
||||
granted to You under this License for that Work shall terminate
|
||||
as of the date such litigation is filed.
|
||||
|
||||
4. Redistribution. You may reproduce and distribute copies of the
|
||||
Work or Derivative Works thereof in any medium, with or without
|
||||
modifications, and in Source or Object form, provided that You
|
||||
meet the following conditions:
|
||||
|
||||
(a) You must give any other recipients of the Work or
|
||||
Derivative Works a copy of this License; and
|
||||
|
||||
(b) You must cause any modified files to carry prominent notices
|
||||
stating that You changed the files; and
|
||||
|
||||
(c) You must retain, in the Source form of any Derivative Works
|
||||
that You distribute, all copyright, patent, trademark, and
|
||||
attribution notices from the Source form of the Work,
|
||||
excluding those notices that do not pertain to any part of
|
||||
the Derivative Works; and
|
||||
|
||||
(d) If the Work includes a "NOTICE" text file as part of its
|
||||
distribution, then any Derivative Works that You distribute must
|
||||
include a readable copy of the attribution notices contained
|
||||
within such NOTICE file, excluding those notices that do not
|
||||
pertain to any part of the Derivative Works, in at least one
|
||||
of the following places: within a NOTICE text file distributed
|
||||
as part of the Derivative Works; within the Source form or
|
||||
documentation, if provided along with the Derivative Works; or,
|
||||
within a display generated by the Derivative Works, if and
|
||||
wherever such third-party notices normally appear. The contents
|
||||
of the NOTICE file are for informational purposes only and
|
||||
do not modify the License. You may add Your own attribution
|
||||
notices within Derivative Works that You distribute, alongside
|
||||
or as an addendum to the NOTICE text from the Work, provided
|
||||
that such additional attribution notices cannot be construed
|
||||
as modifying the License.
|
||||
|
||||
You may add Your own copyright statement to Your modifications and
|
||||
may provide additional or different license terms and conditions
|
||||
for use, reproduction, or distribution of Your modifications, or
|
||||
for any such Derivative Works as a whole, provided Your use,
|
||||
reproduction, and distribution of the Work otherwise complies with
|
||||
the conditions stated in this License.
|
||||
|
||||
5. Submission of Contributions. Unless You explicitly state otherwise,
|
||||
any Contribution intentionally submitted for inclusion in the Work
|
||||
by You to the Licensor shall be under the terms and conditions of
|
||||
this License, without any additional terms or conditions.
|
||||
Notwithstanding the above, nothing herein shall supersede or modify
|
||||
the terms of any separate license agreement you may have executed
|
||||
with Licensor regarding such Contributions.
|
||||
|
||||
6. Trademarks. This License does not grant permission to use the trade
|
||||
names, trademarks, service marks, or product names of the Licensor,
|
||||
except as required for reasonable and customary use in describing the
|
||||
origin of the Work and reproducing the content of the NOTICE file.
|
||||
|
||||
7. Disclaimer of Warranty. Unless required by applicable law or
|
||||
agreed to in writing, Licensor provides the Work (and each
|
||||
Contributor provides its Contributions) on an "AS IS" BASIS,
|
||||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
|
||||
implied, including, without limitation, any warranties or conditions
|
||||
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
|
||||
PARTICULAR PURPOSE. You are solely responsible for determining the
|
||||
appropriateness of using or redistributing the Work and assume any
|
||||
risks associated with Your exercise of permissions under this License.
|
||||
|
||||
8. Limitation of Liability. In no event and under no legal theory,
|
||||
whether in tort (including negligence), contract, or otherwise,
|
||||
unless required by applicable law (such as deliberate and grossly
|
||||
negligent acts) or agreed to in writing, shall any Contributor be
|
||||
liable to You for damages, including any direct, indirect, special,
|
||||
incidental, or consequential damages of any character arising as a
|
||||
result of this License or out of the use or inability to use the
|
||||
Work (including but not limited to damages for loss of goodwill,
|
||||
work stoppage, computer failure or malfunction, or any and all
|
||||
other commercial damages or losses), even if such Contributor
|
||||
has been advised of the possibility of such damages.
|
||||
|
||||
9. Accepting Warranty or Additional Liability. While redistributing
|
||||
the Work or Derivative Works thereof, You may choose to offer,
|
||||
and charge a fee for, acceptance of support, warranty, indemnity,
|
||||
or other liability obligations and/or rights consistent with this
|
||||
License. However, in accepting such obligations, You may act only
|
||||
on Your own behalf and on Your sole responsibility, not on behalf
|
||||
of any other Contributor, and only if You agree to indemnify,
|
||||
defend, and hold each Contributor harmless for any liability
|
||||
incurred by, or claims asserted against, such Contributor by reason
|
||||
of your accepting any such warranty or additional liability.
|
||||
|
||||
END OF TERMS AND CONDITIONS
|
||||
|
||||
APPENDIX: How to apply the Apache License to your work.
|
||||
|
||||
To apply the Apache License to your work, attach the following
|
||||
boilerplate notice, with the fields enclosed by brackets "[]"
|
||||
replaced with your own identifying information. (Don't include
|
||||
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|
||||
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|
||||
file or class name and description of purpose be included on the
|
||||
same "printed page" as the copyright notice for easier
|
||||
identification within third-party archives.
|
||||
|
||||
Copyright [yyyy] [name of copyright owner]
|
||||
|
||||
Licensed under the Apache License, Version 2.0 (the "License");
|
||||
you may not use this file except in compliance with the License.
|
||||
You may obtain a copy of the License at
|
||||
|
||||
http://www.apache.org/licenses/LICENSE-2.0
|
||||
|
||||
Unless required by applicable law or agreed to in writing, software
|
||||
distributed under the License is distributed on an "AS IS" BASIS,
|
||||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
See the License for the specific language governing permissions and
|
||||
limitations under the License.
|
||||
@@ -1,41 +0,0 @@
|
||||
# FastGpt Admin
|
||||
|
||||
## 项目原理
|
||||
|
||||
使用 tushan 项目做前端,然后构造了一个与 mongodb 做沟通的 API 做后端,可以做到创建、修改和删除用户
|
||||
|
||||
## 开发
|
||||
|
||||
1. 复制 .env.template 文件,添加环境变量
|
||||
2. pnpm i
|
||||
3. pnpm dev
|
||||
|
||||
## 部署
|
||||
|
||||
1. 本地打包
|
||||
|
||||
`docker build -t registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-admin:latest . --network host --build-arg HTTP_PROXY=http://127.0.0.1:7890 --build-arg HTTPS_PROXY=http://127.0.0.1:7890`
|
||||
|
||||
2. 直接拉镜像: `registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-admin:latest`
|
||||
3. 部署时候填写环境变量: 数据库同 FastGpt 一致
|
||||
|
||||
```
|
||||
MONGODB_URI=mongodb://username:psw@0.0.0.0:27017/?authSource=admin
|
||||
MONGODB_NAME=fastgpt
|
||||
ADMIN_USER=username
|
||||
ADMIN_PASS=password
|
||||
ADMIN_SECRET=any
|
||||
VITE_PUBLIC_SERVER_URL=http://localhost:3001 # 和server.js一致
|
||||
```
|
||||
|
||||
## sealos 部署
|
||||
|
||||
1. 进入 sealos 官网: https://cloud.sealos.io/
|
||||
2. 打开 App Launchpad(应用管理) 工具
|
||||
3. 新建应用
|
||||
1. 镜像名: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-admin:latest
|
||||
2. 容器端口: 3001
|
||||
3. 环境变量: 参考上面
|
||||
4. 打开外网访问开关
|
||||
4. 点击部署。 完成后大约等待 1 分钟,
|
||||
5. 点击 sealos 提供的外网访问地址,可以直接访问。
|
||||
@@ -1,13 +0,0 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="UTF-8" />
|
||||
<link rel="icon" type="image/svg+xml" href="/logo.svg" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||
<title>Tushan</title>
|
||||
</head>
|
||||
<body>
|
||||
<div id="root"></div>
|
||||
<script type="module" src="/src/main.tsx"></script>
|
||||
</body>
|
||||
</html>
|
||||
@@ -1,41 +0,0 @@
|
||||
{
|
||||
"name": "kbgpt-deafult",
|
||||
"private": true,
|
||||
"version": "0.0.0",
|
||||
"type": "module",
|
||||
"author": "anonymous",
|
||||
"scripts": {
|
||||
"dev": "concurrently \"vite\" \"npm run start:api\"",
|
||||
"build": "tsc && vite build",
|
||||
"preview": "vite preview",
|
||||
"start:api": "nodemon server.js"
|
||||
},
|
||||
"dependencies": {
|
||||
"@arco-design/web-react": "^2.49.1",
|
||||
"concurrently": "^8.1.0",
|
||||
"cors": "^2.8.5",
|
||||
"crypto": "^1.0.1",
|
||||
"dayjs": "^1.11.8",
|
||||
"dotenv": "^16.1.4",
|
||||
"express": "^4.18.2",
|
||||
"jsonwebtoken": "^9.0.0",
|
||||
"mongoose": "^7.2.2",
|
||||
"react": "^18.2.0",
|
||||
"react-admin": "^4.11.0",
|
||||
"react-dom": "^18.2.0",
|
||||
"react-i18next": "^12.3.1",
|
||||
"tushan": "^0.2.22"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@types/jsonexport": "^3.0.2",
|
||||
"@types/lodash-es": "^4.17.7",
|
||||
"@types/node": "^20.2.5",
|
||||
"@types/react": "^18.0.28",
|
||||
"@types/react-dom": "^18.0.11",
|
||||
"@types/react-helmet": "^6.1.6",
|
||||
"@types/styled-components": "^5.1.26",
|
||||
"@vitejs/plugin-react": "^3.1.0",
|
||||
"typescript": "^4.9.2",
|
||||
"vite": "^4.2.1"
|
||||
}
|
||||
}
|
||||
5472
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 |
@@ -1,21 +0,0 @@
|
||||
import express from 'express';
|
||||
import cors from 'cors';
|
||||
import { useUserRoute } from './service/route/user.js';
|
||||
import { useAppRoute } from './service/route/app.js';
|
||||
import { useKbRoute } from './service/route/kb.js';
|
||||
import { useSystemRoute } from './service/route/system.js';
|
||||
|
||||
const app = express();
|
||||
app.use(cors());
|
||||
app.use(express.json());
|
||||
app.use(express.static('dist'));
|
||||
|
||||
useUserRoute(app);
|
||||
useAppRoute(app);
|
||||
useKbRoute(app);
|
||||
useSystemRoute(app);
|
||||
|
||||
const PORT = process.env.PORT || 3001;
|
||||
app.listen(PORT, () => {
|
||||
console.log(`Server is running on port ${PORT}`);
|
||||
});
|
||||
@@ -1,57 +0,0 @@
|
||||
import { User, Model, Kb } from '../schema.js';
|
||||
import { auth } from './system.js';
|
||||
|
||||
export const useAppRoute = (app) => {
|
||||
// 获取AI助手列表
|
||||
app.get('/models', auth(), async (req, res) => {
|
||||
try {
|
||||
const start = parseInt(req.query._start) || 0;
|
||||
const end = parseInt(req.query._end) || 20;
|
||||
const order = req.query._order === 'DESC' ? -1 : 1;
|
||||
const sort = req.query._sort || '_id';
|
||||
const userId = req.query.userId || '';
|
||||
const name = req.query.name || '';
|
||||
const where = {
|
||||
...(userId ? { userId: userId } : {}),
|
||||
name
|
||||
};
|
||||
|
||||
const modelsRaw = await Model.find()
|
||||
.skip(start)
|
||||
.limit(end - start)
|
||||
.sort({ [sort]: order });
|
||||
|
||||
const models = [];
|
||||
|
||||
for (const modelRaw of modelsRaw) {
|
||||
const model = modelRaw.toObject();
|
||||
|
||||
// 获取与模型关联的知识库名称
|
||||
const kbNames = [];
|
||||
for (const kbId of model.chat.relatedKbs) {
|
||||
const kb = await Kb.findById(kbId);
|
||||
kbNames.push(kb.name);
|
||||
}
|
||||
|
||||
const orderedModel = {
|
||||
id: model._id.toString(),
|
||||
userId: model.userId,
|
||||
name: model.name,
|
||||
relatedKbs: kbNames, // 将relatedKbs的id转换为相应的Kb名称
|
||||
searchMode: model.chat?.searchMode,
|
||||
systemPrompt: model.chat?.systemPrompt || '',
|
||||
temperature: model.chat?.temperature
|
||||
};
|
||||
|
||||
models.push(orderedModel);
|
||||
}
|
||||
const totalCount = await Model.countDocuments();
|
||||
res.header('Access-Control-Expose-Headers', 'X-Total-Count');
|
||||
res.header('X-Total-Count', totalCount);
|
||||
res.json(models);
|
||||
} catch (err) {
|
||||
console.log(`Error fetching models: ${err}`);
|
||||
res.status(500).json({ error: 'Error fetching models', details: err.message });
|
||||
}
|
||||
});
|
||||
};
|
||||
@@ -1,44 +0,0 @@
|
||||
import { Kb } from '../schema.js';
|
||||
import { auth } from './system.js';
|
||||
|
||||
export const useKbRoute = (app) => {
|
||||
// 获取用户知识库列表
|
||||
app.get('/kbs', auth(), async (req, res) => {
|
||||
try {
|
||||
const start = parseInt(req.query._start) || 0;
|
||||
const end = parseInt(req.query._end) || 20;
|
||||
const order = req.query._order === 'DESC' ? -1 : 1;
|
||||
const sort = req.query._sort || '_id';
|
||||
const tag = req.query.tag || '';
|
||||
const where = { tags: { $elemMatch: { $regex: tag, $options: 'i' } } };
|
||||
|
||||
const kbsRaw = await Kb.find(where)
|
||||
.skip(start)
|
||||
.limit(end - start)
|
||||
.sort({ [sort]: order });
|
||||
|
||||
const kbs = [];
|
||||
|
||||
for (const kbRaw of kbsRaw) {
|
||||
const kb = kbRaw.toObject();
|
||||
|
||||
const orderedKb = {
|
||||
id: kb._id.toString(),
|
||||
userId: kb.userId,
|
||||
name: kb.name,
|
||||
tags: kb.tags,
|
||||
avatar: kb.avatar
|
||||
};
|
||||
|
||||
kbs.push(orderedKb);
|
||||
}
|
||||
const totalCount = await Kb.countDocuments(where);
|
||||
res.header('Access-Control-Expose-Headers', 'X-Total-Count');
|
||||
res.header('X-Total-Count', totalCount);
|
||||
res.json(kbs);
|
||||
} catch (err) {
|
||||
console.log(`Error fetching kbs: ${err}`);
|
||||
res.status(500).json({ error: 'Error fetching kbs', details: err.message });
|
||||
}
|
||||
});
|
||||
};
|
||||
@@ -1,134 +0,0 @@
|
||||
import jwt from 'jsonwebtoken';
|
||||
import { System } from '../schema.js';
|
||||
|
||||
const adminAuth = {
|
||||
username: process.env.ADMIN_USER,
|
||||
password: process.env.ADMIN_PASS
|
||||
};
|
||||
const authSecret = process.env.ADMIN_SECRET;
|
||||
|
||||
const postParent = () => {
|
||||
fetch(`${process.env.PARENT_URL}/api/system/updateEnv`, {
|
||||
headers: {
|
||||
rootkey: process.env.PARENT_ROOT_KEY
|
||||
}
|
||||
});
|
||||
};
|
||||
|
||||
export const useSystemRoute = (app) => {
|
||||
app.post('/api/login', (req, res) => {
|
||||
if (!adminAuth.username || !adminAuth.password) {
|
||||
res.status(401).end('Server not set env: ADMIN_USER, ADMIN_PASS');
|
||||
return;
|
||||
}
|
||||
|
||||
const { username, password } = req.body;
|
||||
|
||||
if (username === adminAuth.username && password === adminAuth.password) {
|
||||
// 用户名和密码都正确,返回token
|
||||
const token = jwt.sign(
|
||||
{
|
||||
username,
|
||||
platform: 'admin'
|
||||
},
|
||||
authSecret,
|
||||
{
|
||||
expiresIn: '2h'
|
||||
}
|
||||
);
|
||||
|
||||
res.json({
|
||||
username,
|
||||
token: token,
|
||||
expiredAt: new Date().valueOf() + 2 * 60 * 60 * 1000
|
||||
});
|
||||
} else {
|
||||
res.status(401).end('username or password incorrect');
|
||||
}
|
||||
});
|
||||
app.get('/system', auth(), async (req, res) => {
|
||||
try {
|
||||
const data = await System.find();
|
||||
const totalCount = await System.countDocuments();
|
||||
|
||||
res.header('Access-Control-Expose-Headers', 'X-Total-Count');
|
||||
res.header('X-Total-Count', totalCount);
|
||||
res.json(
|
||||
data.map((item) => {
|
||||
const obj = item.toObject();
|
||||
return {
|
||||
...obj,
|
||||
id: obj._id
|
||||
};
|
||||
})
|
||||
);
|
||||
} catch (error) {
|
||||
console.log(error);
|
||||
|
||||
res.status(500).json({ error: 'Error creating system env' });
|
||||
}
|
||||
});
|
||||
app.post('/system', auth(), async (req, res) => {
|
||||
try {
|
||||
await System.create({
|
||||
...req.body,
|
||||
sensitiveCheck: req.body.sensitiveCheck === 'true'
|
||||
});
|
||||
postParent();
|
||||
res.json({});
|
||||
} catch (error) {
|
||||
res.status(500).json({ error: 'Error creating system env' });
|
||||
}
|
||||
});
|
||||
app.put('/system/:id', auth(), async (req, res) => {
|
||||
try {
|
||||
const _id = req.params.id;
|
||||
await System.findByIdAndUpdate(_id, {
|
||||
...req.body,
|
||||
sensitiveCheck: req.body.sensitiveCheck === 'true'
|
||||
});
|
||||
postParent();
|
||||
res.json({});
|
||||
} catch (error) {
|
||||
res.status(500).json({ error: 'Error updating system env' });
|
||||
}
|
||||
});
|
||||
app.delete('/system/:id', auth(), async (req, res) => {
|
||||
try {
|
||||
const _id = req.params.id;
|
||||
await System.findByIdAndDelete(_id);
|
||||
|
||||
res.json({});
|
||||
} catch (error) {
|
||||
res.status(500).json({ error: 'Error updating system env' });
|
||||
}
|
||||
});
|
||||
};
|
||||
|
||||
export const auth = () => {
|
||||
return (req, res, next) => {
|
||||
try {
|
||||
const authorization = req.headers.authorization;
|
||||
if (!authorization) {
|
||||
res.status(401).end('not found authorization in headers');
|
||||
return;
|
||||
}
|
||||
|
||||
const token = authorization.slice('Bearer '.length);
|
||||
|
||||
const payload = jwt.verify(token, authSecret);
|
||||
if (typeof payload === 'string') {
|
||||
res.status(401).end('payload type error');
|
||||
return;
|
||||
}
|
||||
if (payload.platform !== 'admin') {
|
||||
res.status(401).end('Payload invalid');
|
||||
return;
|
||||
}
|
||||
|
||||
next();
|
||||
} catch (err) {
|
||||
res.status(401).end(String(err));
|
||||
}
|
||||
};
|
||||
};
|
||||
@@ -1,136 +0,0 @@
|
||||
import { User, Pay } from '../schema.js';
|
||||
import dayjs from 'dayjs';
|
||||
import { auth } from './system.js';
|
||||
import crypto from 'crypto';
|
||||
|
||||
// 加密
|
||||
const hashPassword = (psw) => {
|
||||
return crypto.createHash('sha256').update(psw).digest('hex');
|
||||
};
|
||||
|
||||
export const useUserRoute = (app) => {
|
||||
// 获取用户列表
|
||||
app.get('/users', auth(), async (req, res) => {
|
||||
try {
|
||||
const start = parseInt(req.query._start) || 0;
|
||||
const end = parseInt(req.query._end) || 20;
|
||||
const order = req.query._order === 'DESC' ? -1 : 1;
|
||||
const sort = req.query._sort || 'createTime';
|
||||
const username = req.query.username || '';
|
||||
const where = {
|
||||
username: { $regex: username, $options: 'i' }
|
||||
};
|
||||
|
||||
const usersRaw = await User.find(where)
|
||||
.skip(start)
|
||||
.limit(end - start)
|
||||
.sort({ [sort]: order });
|
||||
|
||||
const users = usersRaw.map((user) => {
|
||||
const obj = user.toObject();
|
||||
return {
|
||||
...obj,
|
||||
id: obj._id,
|
||||
createTime: dayjs(obj.createTime).format('YYYY/MM/DD HH:mm'),
|
||||
password: ''
|
||||
};
|
||||
});
|
||||
|
||||
const totalCount = await User.countDocuments(where);
|
||||
|
||||
res.header('Access-Control-Expose-Headers', 'X-Total-Count');
|
||||
res.header('X-Total-Count', totalCount);
|
||||
res.json(users);
|
||||
} catch (err) {
|
||||
console.log(`Error fetching users: ${err}`);
|
||||
res.status(500).json({ error: 'Error fetching users' });
|
||||
}
|
||||
});
|
||||
|
||||
// 创建用户
|
||||
app.post('/users', auth(), async (req, res) => {
|
||||
try {
|
||||
const { username, password, balance } = req.body;
|
||||
if (!username || !password || !balance) {
|
||||
return res.status(400).json({ error: 'Invalid user information' });
|
||||
}
|
||||
const existingUser = await User.findOne({ username });
|
||||
if (existingUser) {
|
||||
return res.status(400).json({ error: 'Username already exists' });
|
||||
}
|
||||
|
||||
const result = await User.create({
|
||||
username,
|
||||
password,
|
||||
balance
|
||||
});
|
||||
res.json(result);
|
||||
} catch (err) {
|
||||
console.log(`Error creating user: ${err}`);
|
||||
res.status(500).json({ error: 'Error creating user' });
|
||||
}
|
||||
});
|
||||
|
||||
// 修改用户信息
|
||||
app.put('/users/:id', auth(), async (req, res) => {
|
||||
try {
|
||||
const _id = req.params.id;
|
||||
|
||||
let { password, balance = 0 } = req.body;
|
||||
|
||||
const result = await User.findByIdAndUpdate(_id, {
|
||||
...(password && { password: hashPassword(hashPassword(password)) }),
|
||||
...(balance && { balance })
|
||||
});
|
||||
res.json(result);
|
||||
} catch (err) {
|
||||
console.log(`Error updating user: ${err}`);
|
||||
res.status(500).json({ error: 'Error updating user' });
|
||||
}
|
||||
});
|
||||
|
||||
// 新增: 获取 pays 列表
|
||||
app.get('/pays', auth(), async (req, res) => {
|
||||
try {
|
||||
const start = parseInt(req.query._start) || 0;
|
||||
const end = parseInt(req.query._end) || 20;
|
||||
const order = req.query._order === 'DESC' ? -1 : 1;
|
||||
const sort = req.query._sort || '_id';
|
||||
const userId = req.query.userId || '';
|
||||
const where = userId ? { userId: userId } : {};
|
||||
|
||||
const paysRaw = await Pay.find({
|
||||
...where
|
||||
})
|
||||
.skip(start)
|
||||
.limit(end - start)
|
||||
.sort({ [sort]: order });
|
||||
|
||||
const pays = [];
|
||||
|
||||
for (const payRaw of paysRaw) {
|
||||
const pay = payRaw.toObject();
|
||||
|
||||
const orderedPay = {
|
||||
id: pay._id.toString(),
|
||||
userId: pay.userId,
|
||||
price: pay.price,
|
||||
orderId: pay.orderId,
|
||||
status: pay.status,
|
||||
createTime: dayjs(pay.createTime).format('YYYY/MM/DD HH:mm')
|
||||
};
|
||||
|
||||
pays.push(orderedPay);
|
||||
}
|
||||
const totalCount = await Pay.countDocuments({
|
||||
...where
|
||||
});
|
||||
res.header('Access-Control-Expose-Headers', 'X-Total-Count');
|
||||
res.header('X-Total-Count', totalCount);
|
||||
res.json(pays);
|
||||
} catch (err) {
|
||||
console.log(`Error fetching pays: ${err}`);
|
||||
res.status(500).json({ error: 'Error fetching pays', details: err.message });
|
||||
}
|
||||
});
|
||||
};
|
||||
@@ -1,122 +0,0 @@
|
||||
import mongoose from 'mongoose';
|
||||
import dotenv from 'dotenv';
|
||||
|
||||
dotenv.config({ path: '.env.local' });
|
||||
|
||||
const mongoUrl = process.env.MONGODB_URI;
|
||||
const mongoDBName = process.env.MONGODB_NAME;
|
||||
|
||||
if (!mongoUrl || !mongoDBName) {
|
||||
throw new Error('db error');
|
||||
}
|
||||
|
||||
mongoose
|
||||
.connect(mongoUrl, {
|
||||
dbName: mongoDBName,
|
||||
bufferCommands: true,
|
||||
maxPoolSize: 5,
|
||||
minPoolSize: 1,
|
||||
maxConnecting: 5
|
||||
})
|
||||
.then(() => console.log('Connected to MongoDB successfully!'))
|
||||
.catch((err) => console.log(`Error connecting to MongoDB: ${err}`));
|
||||
|
||||
const userSchema = new mongoose.Schema({
|
||||
_id: mongoose.Schema.Types.ObjectId,
|
||||
username: String,
|
||||
password: String,
|
||||
balance: Number,
|
||||
promotion: {
|
||||
rate: Number
|
||||
},
|
||||
openaiKey: String,
|
||||
avatar: String,
|
||||
createTime: Date
|
||||
});
|
||||
|
||||
// 新增: 定义 pays 模型
|
||||
const paySchema = new mongoose.Schema({
|
||||
_id: mongoose.Schema.Types.ObjectId,
|
||||
userId: mongoose.Schema.Types.ObjectId,
|
||||
price: Number,
|
||||
orderId: String,
|
||||
status: String,
|
||||
createTime: Date,
|
||||
__v: Number
|
||||
});
|
||||
|
||||
// 新增: 定义 kb 模型
|
||||
const kbSchema = new mongoose.Schema({
|
||||
_id: mongoose.Schema.Types.ObjectId,
|
||||
userId: mongoose.Schema.Types.ObjectId,
|
||||
avatar: String,
|
||||
name: String,
|
||||
tags: [String],
|
||||
updateTime: Date,
|
||||
__v: Number
|
||||
});
|
||||
|
||||
const modelSchema = new mongoose.Schema({
|
||||
userId: mongoose.Schema.Types.ObjectId,
|
||||
name: String,
|
||||
avatar: String,
|
||||
status: String,
|
||||
chat: {
|
||||
relatedKbs: [mongoose.Schema.Types.ObjectId],
|
||||
searchMode: String,
|
||||
systemPrompt: String,
|
||||
temperature: Number,
|
||||
chatModel: String
|
||||
},
|
||||
share: {
|
||||
isShare: Boolean,
|
||||
isShareDetail: Boolean,
|
||||
intro: String,
|
||||
collection: Number
|
||||
},
|
||||
security: {
|
||||
domain: [String],
|
||||
contextMaxLen: Number,
|
||||
contentMaxLen: Number,
|
||||
expiredTime: Number,
|
||||
maxLoadAmount: Number
|
||||
},
|
||||
updateTime: Date
|
||||
});
|
||||
|
||||
const SystemSchema = new mongoose.Schema({
|
||||
openAIKeys: {
|
||||
type: String,
|
||||
default: ''
|
||||
},
|
||||
openAITrainingKeys: {
|
||||
type: String,
|
||||
default: ''
|
||||
},
|
||||
gpt4Key: {
|
||||
type: String,
|
||||
default: ''
|
||||
},
|
||||
vectorMaxProcess: {
|
||||
type: Number,
|
||||
default: 10
|
||||
},
|
||||
qaMaxProcess: {
|
||||
type: Number,
|
||||
default: 10
|
||||
},
|
||||
pgIvfflatProbe: {
|
||||
type: Number,
|
||||
default: 10
|
||||
},
|
||||
sensitiveCheck: {
|
||||
type: Boolean,
|
||||
default: false
|
||||
}
|
||||
});
|
||||
|
||||
export const Model = mongoose.models['model'] || mongoose.model('model', modelSchema);
|
||||
export const Kb = mongoose.models['kb'] || mongoose.model('kb', kbSchema);
|
||||
export const User = mongoose.models['user'] || mongoose.model('user', userSchema);
|
||||
export const Pay = mongoose.models['pay'] || mongoose.model('pay', paySchema);
|
||||
export const System = mongoose.models['system'] || mongoose.model('system', SystemSchema);
|
||||
@@ -1,105 +0,0 @@
|
||||
import {
|
||||
createTextField,
|
||||
jsonServerProvider,
|
||||
ListTable,
|
||||
Resource,
|
||||
Tushan,
|
||||
fetchJSON
|
||||
} from 'tushan';
|
||||
import { authProvider } from './auth';
|
||||
import { userFields, payFields, kbFields, ModelFields, SystemFields } from './fields';
|
||||
import { Dashboard } from './Dashboard';
|
||||
|
||||
const authStorageKey = 'tushan:auth';
|
||||
|
||||
const httpClient: typeof fetchJSON = (url, options = {}) => {
|
||||
try {
|
||||
if (!options.headers) {
|
||||
options.headers = new Headers({ Accept: 'application/json' });
|
||||
}
|
||||
const { token } = JSON.parse(window.localStorage.getItem(authStorageKey) ?? '{}');
|
||||
(options.headers as Headers).set('Authorization', `Bearer ${token}`);
|
||||
|
||||
return fetchJSON(url, options);
|
||||
} catch (err) {
|
||||
return Promise.reject();
|
||||
}
|
||||
};
|
||||
|
||||
const dataProvider = jsonServerProvider(import.meta.env.VITE_PUBLIC_SERVER_URL, httpClient);
|
||||
|
||||
function App() {
|
||||
return (
|
||||
<Tushan
|
||||
basename="/"
|
||||
header={'FastGpt-Admin'}
|
||||
dataProvider={dataProvider}
|
||||
authProvider={authProvider}
|
||||
dashboard={<Dashboard />}
|
||||
>
|
||||
<Resource
|
||||
name="users"
|
||||
label="用户信息"
|
||||
list={
|
||||
<ListTable
|
||||
filter={[
|
||||
createTextField('username', {
|
||||
label: 'username'
|
||||
})
|
||||
]}
|
||||
fields={userFields}
|
||||
action={{ detail: true, edit: true }}
|
||||
/>
|
||||
}
|
||||
/>
|
||||
|
||||
<Resource
|
||||
name="pays"
|
||||
label="支付记录"
|
||||
list={
|
||||
<ListTable
|
||||
filter={[
|
||||
createTextField('userId', {
|
||||
label: 'userId'
|
||||
})
|
||||
]}
|
||||
fields={payFields}
|
||||
action={{ detail: true }}
|
||||
/>
|
||||
}
|
||||
/>
|
||||
<Resource
|
||||
name="kbs"
|
||||
label="知识库"
|
||||
list={
|
||||
<ListTable
|
||||
filter={[
|
||||
createTextField('tag', {
|
||||
label: 'tag'
|
||||
})
|
||||
]}
|
||||
fields={kbFields}
|
||||
action={{ detail: true }}
|
||||
/>
|
||||
}
|
||||
/>
|
||||
<Resource
|
||||
name="models"
|
||||
label="应用"
|
||||
list={<ListTable fields={ModelFields} action={{ detail: true }} />}
|
||||
/>
|
||||
<Resource
|
||||
name="system"
|
||||
label="系统"
|
||||
list={
|
||||
<ListTable
|
||||
fields={SystemFields}
|
||||
action={{ detail: true, edit: true, create: true, delete: true }}
|
||||
/>
|
||||
}
|
||||
/>
|
||||
</Tushan>
|
||||
);
|
||||
}
|
||||
|
||||
export default App;
|
||||
@@ -1,143 +0,0 @@
|
||||
import { Card, Link, Space, Grid, Divider, Typography } from '@arco-design/web-react';
|
||||
import { IconApps, IconUser, IconUserGroup } from 'tushan/icon';
|
||||
import React, { useState, useEffect } from 'react';
|
||||
import { useTranslation } from 'react-i18next';
|
||||
|
||||
const authStorageKey = 'tushan:auth';
|
||||
|
||||
export const Dashboard: React.FC = React.memo(() => {
|
||||
const [userCount, setUserCount] = useState(0); //用户数量
|
||||
const [kbCount, setkbCount] = useState(0);
|
||||
const [modelCount, setmodelCount] = useState(0);
|
||||
useEffect(() => {
|
||||
const fetchCounts = async () => {
|
||||
const baseUrl = import.meta.env.VITE_PUBLIC_SERVER_URL;
|
||||
const { token } = JSON.parse(window.localStorage.getItem(authStorageKey) ?? '{}');
|
||||
|
||||
const headers = {
|
||||
'Content-Type': 'application/json',
|
||||
Authorization: `Bearer ${token}`
|
||||
};
|
||||
const userResponse = await fetch(`${baseUrl}/users?_end=1`, {
|
||||
headers
|
||||
});
|
||||
const kbResponse = await fetch(`${baseUrl}/kbs?_end=1`, {
|
||||
headers
|
||||
});
|
||||
const modelResponse = await fetch(`${baseUrl}/models?_end=1`, {
|
||||
headers
|
||||
});
|
||||
|
||||
const userTotalCount = userResponse.headers.get('X-Total-Count');
|
||||
const kbTotalCount = kbResponse.headers.get('X-Total-Count');
|
||||
const modelTotalCount = modelResponse.headers.get('X-Total-Count');
|
||||
console.log(userTotalCount);
|
||||
|
||||
if (userTotalCount) {
|
||||
setUserCount(Number(userTotalCount));
|
||||
}
|
||||
if (kbTotalCount) {
|
||||
setkbCount(Number(kbTotalCount));
|
||||
}
|
||||
if (modelTotalCount) {
|
||||
setmodelCount(Number(modelTotalCount));
|
||||
}
|
||||
};
|
||||
|
||||
fetchCounts();
|
||||
}, []);
|
||||
|
||||
return (
|
||||
<div>
|
||||
<div>
|
||||
<Space direction="vertical" style={{ width: '100%' }}>
|
||||
<Card bordered={false}>
|
||||
<Typography.Title heading={5}>FastGpt Admin</Typography.Title>
|
||||
|
||||
<Divider />
|
||||
|
||||
<Grid.Row justify="center">
|
||||
<Grid.Col flex={1} style={{ paddingLeft: '1rem' }}>
|
||||
{/* 把 userCount 传递给 DataItem 组件 */}
|
||||
<DataItem icon={<IconUser />} title={'用户'} count={userCount} />
|
||||
</Grid.Col>
|
||||
|
||||
<Divider type="vertical" style={{ height: 40 }} />
|
||||
|
||||
<Grid.Col flex={1} style={{ paddingLeft: '1rem' }}>
|
||||
<DataItem icon={<IconUserGroup />} title={'知识库'} count={kbCount} />
|
||||
</Grid.Col>
|
||||
|
||||
<Divider type="vertical" style={{ height: 40 }} />
|
||||
|
||||
<Grid.Col flex={1} style={{ paddingLeft: '1rem' }}>
|
||||
<DataItem icon={<IconApps />} title={'AI模型'} count={modelCount} />
|
||||
</Grid.Col>
|
||||
</Grid.Row>
|
||||
|
||||
<Divider />
|
||||
</Card>
|
||||
</Space>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
});
|
||||
Dashboard.displayName = 'Dashboard';
|
||||
|
||||
const DashboardItem: React.FC<
|
||||
React.PropsWithChildren<{
|
||||
title: string;
|
||||
href?: string;
|
||||
}>
|
||||
> = React.memo((props) => {
|
||||
const { t } = useTranslation();
|
||||
|
||||
return (
|
||||
<Card
|
||||
title={props.title}
|
||||
extra={
|
||||
props.href && (
|
||||
<Link target="_blank" href={props.href}>
|
||||
{t('tushan.dashboard.more')}
|
||||
</Link>
|
||||
)
|
||||
}
|
||||
bordered={false}
|
||||
style={{ overflow: 'hidden' }}
|
||||
>
|
||||
{props.children}
|
||||
</Card>
|
||||
);
|
||||
});
|
||||
DashboardItem.displayName = 'DashboardItem';
|
||||
|
||||
const DataItem: React.FC<{
|
||||
icon: React.ReactElement;
|
||||
title: string;
|
||||
count: number;
|
||||
}> = React.memo((props) => {
|
||||
return (
|
||||
<Space>
|
||||
<div
|
||||
style={{
|
||||
fontSize: 20,
|
||||
padding: '0.5rem',
|
||||
borderRadius: '9999px',
|
||||
border: '1px solid #ccc',
|
||||
width: 24,
|
||||
height: 24,
|
||||
display: 'flex',
|
||||
justifyContent: 'center',
|
||||
alignItems: 'center'
|
||||
}}
|
||||
>
|
||||
{props.icon}
|
||||
</div>
|
||||
<div>
|
||||
<div style={{ fontWeight: 700 }}>{props.title}</div>
|
||||
<div>{props.count}</div>
|
||||
</div>
|
||||
</Space>
|
||||
);
|
||||
});
|
||||
DataItem.displayName = 'DataItem';
|
||||
@@ -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`
|
||||
});
|
||||
@@ -1,50 +0,0 @@
|
||||
import { createTextField, createNumberField } from 'tushan';
|
||||
|
||||
export const userFields = [
|
||||
createTextField('id', { label: 'ID' }),
|
||||
createTextField('username', { label: '用户名' }),
|
||||
createNumberField('balance', { label: '余额', list: { sort: true } }),
|
||||
createTextField('createTime', { label: 'Create Time', list: { sort: true } }),
|
||||
createTextField('password', { label: '密码', list: { hidden: true } })
|
||||
];
|
||||
|
||||
export const payFields = [
|
||||
createTextField('id', { label: 'ID' }),
|
||||
createTextField('userId', { label: '用户Id' }),
|
||||
createNumberField('price', { label: '支付金额' }),
|
||||
createTextField('orderId', { label: 'orderId' }),
|
||||
createTextField('status', { label: '状态' }),
|
||||
createTextField('createTime', { label: 'Create Time', list: { sort: true } })
|
||||
];
|
||||
|
||||
export const kbFields = [
|
||||
createTextField('id', { label: 'ID' }),
|
||||
createTextField('userId', { label: '所属用户' }),
|
||||
createTextField('name', { label: '知识库' }),
|
||||
createTextField('tags', { label: 'Tags' })
|
||||
];
|
||||
|
||||
export const ModelFields = [
|
||||
createTextField('id', { label: 'ID' }),
|
||||
createTextField('userId', { label: '所属用户' }),
|
||||
createTextField('name', { label: '名字' }),
|
||||
createTextField('relatedKbs', { label: '引用的知识库' }),
|
||||
createTextField('searchMode', { label: '搜索模式' }),
|
||||
createTextField('systemPrompt', {
|
||||
label: '提示词',
|
||||
list: {
|
||||
width: 400
|
||||
}
|
||||
}),
|
||||
createTextField('temperature', { label: '温度' })
|
||||
];
|
||||
|
||||
export const SystemFields = [
|
||||
createTextField('openAIKeys', { label: 'openAIKeys,逗号隔开' }),
|
||||
createTextField('openAITrainingKeys', { label: 'openAITrainingKeys' }),
|
||||
createTextField('gpt4Key', { label: 'gpt4Key' }),
|
||||
createTextField('vectorMaxProcess', { label: '向量最大进程' }),
|
||||
createTextField('qaMaxProcess', { label: 'qa最大进程' }),
|
||||
createTextField('pgIvfflatProbe', { label: 'pg 探针数量' }),
|
||||
createTextField('sensitiveCheck', { label: '敏感词校验(true,false)' })
|
||||
];
|
||||
@@ -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()],
|
||||
});
|
||||
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": "^2.5.1",
|
||||
"@chakra-ui/system": "^2.5.5",
|
||||
"@dqbd/tiktoken": "^1.0.6",
|
||||
"@emotion/react": "^11.10.6",
|
||||
"@emotion/styled": "^11.10.6",
|
||||
"@next/font": "13.1.6",
|
||||
"@tanstack/react-query": "^4.24.10",
|
||||
"@types/nprogress": "^0.2.0",
|
||||
"axios": "^1.3.3",
|
||||
"cookie": "^0.5.0",
|
||||
"crypto": "^1.0.1",
|
||||
"dayjs": "^1.11.7",
|
||||
"eventsource-parser": "^0.1.0",
|
||||
"formidable": "^2.1.1",
|
||||
"framer-motion": "^9.0.6",
|
||||
"graphemer": "^1.4.0",
|
||||
"hyperdown": "^2.4.29",
|
||||
"immer": "^9.0.19",
|
||||
"jsonwebtoken": "^9.0.0",
|
||||
"lodash": "^4.17.21",
|
||||
"mammoth": "^1.5.1",
|
||||
"mermaid": "^8.13.5",
|
||||
"mongoose": "^6.10.0",
|
||||
"nanoid": "^4.0.1",
|
||||
"next": "13.1.6",
|
||||
"nextjs-cors": "^2.1.2",
|
||||
"nodemailer": "^6.9.1",
|
||||
"nprogress": "^0.2.0",
|
||||
"openai": "^3.2.1",
|
||||
"papaparse": "^5.4.1",
|
||||
"pg": "^8.10.0",
|
||||
"react": "18.2.0",
|
||||
"react-dom": "18.2.0",
|
||||
"react-hook-form": "^7.43.1",
|
||||
"react-markdown": "^8.0.5",
|
||||
"react-syntax-highlighter": "^15.5.0",
|
||||
"rehype-katex": "^6.0.2",
|
||||
"remark-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"
|
||||
}
|
||||
}
|
||||
12469
client/pnpm-lock.yaml
generated
@@ -1,5 +0,0 @@
|
||||
### Fast GPT V3.8.4
|
||||
|
||||
1. 新增 - mermaid 导图兼容,可以在应用市场 'mermaid 导图' 进行体验。
|
||||
2. 优化 - 部分 UI 和账号页。
|
||||
2. 优化 - 知识库搜索速度
|
||||
|
Before Width: | Height: | Size: 97 KiB |
@@ -1,67 +0,0 @@
|
||||
import { GUIDE_PROMPT_HEADER, NEW_CHATID_HEADER, QUOTE_LEN_HEADER } from '@/constants/chat';
|
||||
|
||||
interface StreamFetchProps {
|
||||
url: string;
|
||||
data: any;
|
||||
onMessage: (text: string) => void;
|
||||
abortSignal: AbortController;
|
||||
}
|
||||
export const streamFetch = ({ url, data, onMessage, abortSignal }: StreamFetchProps) =>
|
||||
new Promise<{
|
||||
responseText: string;
|
||||
newChatId: string;
|
||||
systemPrompt: string;
|
||||
quoteLen: number;
|
||||
}>(async (resolve, reject) => {
|
||||
try {
|
||||
const res = await fetch(url, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json'
|
||||
},
|
||||
body: JSON.stringify(data),
|
||||
signal: abortSignal.signal
|
||||
});
|
||||
const reader = res.body?.getReader();
|
||||
if (!reader) return;
|
||||
|
||||
const decoder = new TextDecoder();
|
||||
|
||||
const newChatId = decodeURIComponent(res.headers.get(NEW_CHATID_HEADER) || '');
|
||||
const systemPrompt = decodeURIComponent(res.headers.get(GUIDE_PROMPT_HEADER) || '').trim();
|
||||
const quoteLen = res.headers.get(QUOTE_LEN_HEADER)
|
||||
? Number(res.headers.get(QUOTE_LEN_HEADER))
|
||||
: 0;
|
||||
|
||||
let responseText = '';
|
||||
|
||||
const read = async () => {
|
||||
try {
|
||||
const { done, value } = await reader?.read();
|
||||
if (done) {
|
||||
if (res.status === 200) {
|
||||
resolve({ responseText, newChatId, quoteLen, systemPrompt });
|
||||
} else {
|
||||
const parseError = JSON.parse(responseText);
|
||||
reject(parseError?.message || '请求异常');
|
||||
}
|
||||
|
||||
return;
|
||||
}
|
||||
const text = decoder.decode(value);
|
||||
responseText += text;
|
||||
onMessage(text);
|
||||
read();
|
||||
} catch (err: any) {
|
||||
if (err?.message === 'The user aborted a request.') {
|
||||
return resolve({ responseText, newChatId, quoteLen, systemPrompt });
|
||||
}
|
||||
reject(typeof err === 'string' ? err : err?.message || '请求异常');
|
||||
}
|
||||
};
|
||||
read();
|
||||
} catch (err: any) {
|
||||
console.log(err, '====');
|
||||
reject(typeof err === 'string' ? err : err?.message || '请求异常');
|
||||
}
|
||||
});
|
||||
@@ -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 +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="1686468581713" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2951" xmlns:xlink="http://www.w3.org/1999/xlink" ><path d="M512 640.64a42.666667 42.666667 0 0 0 42.666667-42.666667v-341.333333h130.986666a21.333333 21.333333 0 0 0 14.250667-5.461333l2.688-2.901334a21.333333 21.333333 0 0 0-4.010667-29.909333l-165.717333-126.464a32 32 0 0 0-38.912 0.042667L329.472 218.453333a21.333333 21.333333 0 0 0 12.970667 38.229334H469.333333v341.333333a42.666667 42.666667 0 0 0 42.666667 42.666667z m229.674667-298.368a42.666667 42.666667 0 0 0 4.992 85.034667H853.333333v426.666666H170.666667v-426.666666h106.666666a42.666667 42.666667 0 0 0 0-85.333334H170.666667a85.333333 85.333333 0 0 0-85.333334 85.333334v426.666666a85.333333 85.333333 0 0 0 85.333334 85.333334h682.666666a85.333333 85.333333 0 0 0 85.333334-85.333334v-426.666666a85.333333 85.333333 0 0 0-85.333334-85.333334h-106.666666z" fill="#000000" p-id="2952"></path></svg>
|
||||
|
Before Width: | Height: | Size: 1.1 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="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>
|
||||
|
Before Width: | Height: | Size: 663 B |
@@ -1,17 +0,0 @@
|
||||
import React, { memo } from 'react';
|
||||
import { Box } from '@chakra-ui/react';
|
||||
|
||||
const Loading = () => {
|
||||
return (
|
||||
<Box
|
||||
w={'100%'}
|
||||
h={'80px'}
|
||||
backgroundImage={'url("/imgs/loading.gif")'}
|
||||
backgroundSize={'contain'}
|
||||
backgroundRepeat={'no-repeat'}
|
||||
backgroundPosition={'center'}
|
||||
/>
|
||||
);
|
||||
};
|
||||
|
||||
export default memo(Loading);
|
||||
@@ -1,101 +0,0 @@
|
||||
import React, { useEffect, useRef, memo, useCallback, useState } from 'react';
|
||||
import { Box } from '@chakra-ui/react';
|
||||
// @ts-ignore
|
||||
import mermaid from 'mermaid';
|
||||
import MyIcon from '../Icon';
|
||||
|
||||
import styles from './index.module.scss';
|
||||
|
||||
const mermaidAPI = mermaid.mermaidAPI;
|
||||
mermaidAPI.initialize({
|
||||
startOnLoad: false,
|
||||
theme: 'base',
|
||||
themeVariables: {
|
||||
fontSize: '14px',
|
||||
primaryColor: '#d6e8ff',
|
||||
primaryTextColor: '#485058',
|
||||
primaryBorderColor: '#fff',
|
||||
lineColor: '#5A646E',
|
||||
secondaryColor: '#B5E9E5',
|
||||
tertiaryColor: '#485058'
|
||||
}
|
||||
});
|
||||
|
||||
const MermaidBlock = ({ code }: { code: string }) => {
|
||||
const dom = useRef<HTMLDivElement>(null);
|
||||
const [svg, setSvg] = useState('');
|
||||
|
||||
useEffect(() => {
|
||||
try {
|
||||
const formatCode = code.replace(/:/g, ':');
|
||||
|
||||
mermaidAPI.render(`mermaid-${Date.now()}`, formatCode, (svgCode: string) => {
|
||||
setSvg(svgCode);
|
||||
});
|
||||
} catch (error) {
|
||||
console.log(error);
|
||||
}
|
||||
}, [code]);
|
||||
|
||||
const onclickExport = useCallback(() => {
|
||||
const svg = dom.current?.children[0];
|
||||
if (!svg) return;
|
||||
|
||||
const w = svg.clientWidth * 4;
|
||||
const h = svg.clientHeight * 4;
|
||||
|
||||
const canvas = document.createElement('canvas');
|
||||
canvas.width = w;
|
||||
canvas.height = h;
|
||||
const ctx = canvas.getContext('2d');
|
||||
if (!ctx) return;
|
||||
// 绘制白色背景
|
||||
ctx.fillStyle = '#fff';
|
||||
ctx.fillRect(0, 0, w, h);
|
||||
|
||||
const img = new Image();
|
||||
img.src = `data:image/svg+xml;charset=utf-8,${encodeURIComponent(dom.current.innerHTML)}`;
|
||||
|
||||
img.onload = () => {
|
||||
ctx.drawImage(img, 0, 0, w, h);
|
||||
|
||||
const jpgDataUrl = canvas.toDataURL('image/jpeg', 1);
|
||||
const a = document.createElement('a');
|
||||
a.href = jpgDataUrl;
|
||||
a.download = 'mermaid.jpg';
|
||||
document.body.appendChild(a);
|
||||
a.click();
|
||||
document.body.removeChild(a);
|
||||
};
|
||||
img.onerror = (e) => {
|
||||
console.log(e);
|
||||
};
|
||||
}, []);
|
||||
|
||||
return (
|
||||
<Box position={'relative'}>
|
||||
<Box
|
||||
ref={dom}
|
||||
className={styles.mermaid}
|
||||
minH={'50px'}
|
||||
py={4}
|
||||
dangerouslySetInnerHTML={{ __html: svg }}
|
||||
/>
|
||||
<MyIcon
|
||||
name={'export'}
|
||||
w={'20px'}
|
||||
position={'absolute'}
|
||||
color={'myGray.600'}
|
||||
_hover={{
|
||||
color: 'myBlue.700'
|
||||
}}
|
||||
right={0}
|
||||
top={0}
|
||||
cursor={'pointer'}
|
||||
onClick={onclickExport}
|
||||
/>
|
||||
</Box>
|
||||
);
|
||||
};
|
||||
|
||||
export default memo(MermaidBlock);
|
||||
@@ -1,58 +0,0 @@
|
||||
import React, { memo, useMemo, useEffect } from 'react';
|
||||
import ReactMarkdown from 'react-markdown';
|
||||
import { formatLinkText } from '@/utils/tools';
|
||||
import remarkGfm from 'remark-gfm';
|
||||
import remarkMath from 'remark-math';
|
||||
import remarkBreaks from 'remark-breaks';
|
||||
import rehypeKatex from 'rehype-katex';
|
||||
|
||||
import 'katex/dist/katex.min.css';
|
||||
import styles from './index.module.scss';
|
||||
import CodeLight from './codeLight';
|
||||
import Loading from './Loading';
|
||||
import MermaidCodeBlock from './MermaidCodeBlock';
|
||||
|
||||
const Markdown = ({
|
||||
source,
|
||||
isChatting = false,
|
||||
formatLink
|
||||
}: {
|
||||
source: string;
|
||||
formatLink?: boolean;
|
||||
isChatting?: boolean;
|
||||
}) => {
|
||||
const formatSource = useMemo(() => {
|
||||
return formatLink ? formatLinkText(source) : source;
|
||||
}, [source, formatLink]);
|
||||
|
||||
return (
|
||||
<ReactMarkdown
|
||||
className={`markdown ${styles.markdown}
|
||||
${isChatting ? (source === '' ? styles.waitingAnimation : styles.animation) : ''}
|
||||
`}
|
||||
remarkPlugins={[remarkGfm, remarkMath, remarkBreaks]}
|
||||
rehypePlugins={[rehypeKatex]}
|
||||
components={{
|
||||
pre: 'div',
|
||||
code({ node, inline, className, children, ...props }) {
|
||||
const match = /language-(\w+)/.exec(className || '');
|
||||
|
||||
if (match?.[1] === 'mermaid') {
|
||||
return isChatting ? <Loading /> : <MermaidCodeBlock code={String(children)} />;
|
||||
}
|
||||
|
||||
return (
|
||||
<CodeLight className={className} inline={inline} match={match} {...props}>
|
||||
{children}
|
||||
</CodeLight>
|
||||
);
|
||||
}
|
||||
}}
|
||||
linkTarget="_blank"
|
||||
>
|
||||
{formatSource}
|
||||
</ReactMarkdown>
|
||||
);
|
||||
};
|
||||
|
||||
export default memo(Markdown);
|
||||
@@ -1,74 +0,0 @@
|
||||
import React, { useMemo } from 'react';
|
||||
import { Box, Grid, useTheme } from '@chakra-ui/react';
|
||||
import type { GridProps } from '@chakra-ui/react';
|
||||
|
||||
// @ts-ignore
|
||||
interface Props extends GridProps {
|
||||
list: { id: string; label: string }[];
|
||||
activeId: string;
|
||||
size?: 'sm' | 'md' | 'lg';
|
||||
onChange: (id: string) => void;
|
||||
}
|
||||
|
||||
const Tabs = ({ list, size = 'md', activeId, onChange, ...props }: Props) => {
|
||||
const theme = useTheme();
|
||||
const sizeMap = useMemo(() => {
|
||||
switch (size) {
|
||||
case 'sm':
|
||||
return {
|
||||
fontSize: 'sm',
|
||||
outP: '3px',
|
||||
inlineP: 1
|
||||
};
|
||||
case 'md':
|
||||
return {
|
||||
fontSize: 'md',
|
||||
outP: '4px',
|
||||
inlineP: 2
|
||||
};
|
||||
case 'lg':
|
||||
return {
|
||||
fontSize: 'lg',
|
||||
outP: '5px',
|
||||
inlineP: 3
|
||||
};
|
||||
}
|
||||
}, [size]);
|
||||
|
||||
return (
|
||||
<Grid
|
||||
gridTemplateColumns={`repeat(${list.length},1fr)`}
|
||||
p={sizeMap.outP}
|
||||
borderRadius={'sm'}
|
||||
fontSize={sizeMap.fontSize}
|
||||
{...props}
|
||||
>
|
||||
{list.map((item) => (
|
||||
<Box
|
||||
key={item.id}
|
||||
py={sizeMap.inlineP}
|
||||
borderRadius={'sm'}
|
||||
textAlign={'center'}
|
||||
{...(activeId === item.id
|
||||
? {
|
||||
boxShadow: '0px 2px 2px rgba(137, 156, 171, 0.25)',
|
||||
backgroundImage: theme.lgColor.primary2,
|
||||
color: 'white',
|
||||
cursor: 'default'
|
||||
}
|
||||
: {
|
||||
cursor: 'pointer'
|
||||
})}
|
||||
onClick={() => {
|
||||
if (activeId === item.id) return;
|
||||
onChange(item.id);
|
||||
}}
|
||||
>
|
||||
{item.label}
|
||||
</Box>
|
||||
))}
|
||||
</Grid>
|
||||
);
|
||||
};
|
||||
|
||||
export default Tabs;
|
||||
@@ -1,32 +0,0 @@
|
||||
import type { NextApiRequest, NextApiResponse } from 'next';
|
||||
import { jsonRes } from '@/service/response';
|
||||
import { System } from '@/service/models/system';
|
||||
import { authUser } from '@/service/utils/auth';
|
||||
|
||||
export type InitDateResponse = {
|
||||
beianText: string;
|
||||
googleVerKey: string;
|
||||
};
|
||||
|
||||
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
|
||||
await authUser({ req, authRoot: true });
|
||||
updateSystemEnv();
|
||||
jsonRes<InitDateResponse>(res);
|
||||
}
|
||||
|
||||
export async function updateSystemEnv() {
|
||||
try {
|
||||
const mongoData = await System.findOne();
|
||||
|
||||
if (mongoData) {
|
||||
const obj = mongoData.toObject();
|
||||
global.systemEnv = {
|
||||
...global.systemEnv,
|
||||
...obj
|
||||
};
|
||||
}
|
||||
console.log('update env', global.systemEnv);
|
||||
} catch (error) {
|
||||
console.log('update system env error');
|
||||
}
|
||||
}
|
||||
@@ -1,31 +0,0 @@
|
||||
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
|
||||
import type { NextApiRequest, NextApiResponse } from 'next';
|
||||
import { jsonRes } from '@/service/response';
|
||||
import { connectToDatabase, Inform } from '@/service/mongo';
|
||||
import { authUser } from '@/service/utils/auth';
|
||||
|
||||
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
|
||||
try {
|
||||
if (!req.headers.cookie) {
|
||||
return jsonRes(res, {
|
||||
data: 0
|
||||
});
|
||||
}
|
||||
const { userId } = await authUser({ req, authToken: true });
|
||||
|
||||
await connectToDatabase();
|
||||
|
||||
const data = await Inform.countDocuments({
|
||||
userId,
|
||||
read: false
|
||||
});
|
||||
|
||||
jsonRes(res, {
|
||||
data
|
||||
});
|
||||
} catch (err) {
|
||||
jsonRes(res, {
|
||||
data: 0
|
||||
});
|
||||
}
|
||||
}
|
||||
@@ -1,40 +0,0 @@
|
||||
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
|
||||
import type { NextApiRequest, NextApiResponse } from 'next';
|
||||
import { jsonRes } from '@/service/response';
|
||||
import { connectToDatabase, Inform } from '@/service/mongo';
|
||||
import { authUser } from '@/service/utils/auth';
|
||||
|
||||
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
|
||||
try {
|
||||
const { userId } = await authUser({ req, authToken: true });
|
||||
|
||||
const { pageNum, pageSize = 10 } = req.body as {
|
||||
pageNum: number;
|
||||
pageSize: number;
|
||||
};
|
||||
|
||||
await connectToDatabase();
|
||||
|
||||
const [informs, total] = await Promise.all([
|
||||
Inform.find({ userId })
|
||||
.sort({ time: -1 }) // 按照创建时间倒序排列
|
||||
.skip((pageNum - 1) * pageSize)
|
||||
.limit(pageSize),
|
||||
Inform.countDocuments({ userId })
|
||||
]);
|
||||
|
||||
jsonRes(res, {
|
||||
data: {
|
||||
pageNum,
|
||||
pageSize,
|
||||
data: informs,
|
||||
total
|
||||
}
|
||||
});
|
||||
} catch (err) {
|
||||
jsonRes(res, {
|
||||
code: 500,
|
||||
error: err
|
||||
});
|
||||
}
|
||||
}
|
||||
@@ -1,29 +0,0 @@
|
||||
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
|
||||
import type { NextApiRequest, NextApiResponse } from 'next';
|
||||
import { jsonRes } from '@/service/response';
|
||||
import { connectToDatabase, Inform } from '@/service/mongo';
|
||||
import { authUser } from '@/service/utils/auth';
|
||||
|
||||
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
|
||||
try {
|
||||
const { userId } = await authUser({ req, authToken: true });
|
||||
|
||||
await connectToDatabase();
|
||||
|
||||
const { id } = req.query as { id: string };
|
||||
|
||||
await Inform.findOneAndUpdate(
|
||||
{
|
||||
_id: id,
|
||||
userId
|
||||
},
|
||||
{
|
||||
read: true
|
||||
}
|
||||
);
|
||||
|
||||
jsonRes(res);
|
||||
} catch (err) {
|
||||
jsonRes(res);
|
||||
}
|
||||
}
|
||||
@@ -1,75 +0,0 @@
|
||||
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
|
||||
import type { NextApiRequest, NextApiResponse } from 'next';
|
||||
import { jsonRes } from '@/service/response';
|
||||
import { connectToDatabase, Inform, User } from '@/service/mongo';
|
||||
import { authUser } from '@/service/utils/auth';
|
||||
import { InformTypeEnum } from '@/constants/user';
|
||||
|
||||
export type Props = {
|
||||
type: `${InformTypeEnum}`;
|
||||
title: string;
|
||||
content: string;
|
||||
userId?: string;
|
||||
};
|
||||
|
||||
export default async function handler(req: NextApiRequest, res: NextApiResponse) {
|
||||
try {
|
||||
await authUser({ req, authRoot: true });
|
||||
|
||||
await connectToDatabase();
|
||||
|
||||
jsonRes(res, {
|
||||
data: await sendInform(req.body),
|
||||
message: '发送通知成功'
|
||||
});
|
||||
} catch (err) {
|
||||
jsonRes(res, {
|
||||
code: 500,
|
||||
error: err
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
export async function sendInform({ type, title, content, userId }: Props) {
|
||||
if (!type || !title || !content) {
|
||||
return;
|
||||
}
|
||||
|
||||
try {
|
||||
if (userId) {
|
||||
// skip it if have same inform within 5 minutes
|
||||
const inform = await Inform.findOne({
|
||||
type,
|
||||
title,
|
||||
content,
|
||||
userId,
|
||||
read: false,
|
||||
time: { $lte: new Date(Date.now() + 5 * 60 * 1000) }
|
||||
});
|
||||
|
||||
if (inform) return;
|
||||
|
||||
await Inform.create({
|
||||
type,
|
||||
title,
|
||||
content,
|
||||
userId
|
||||
});
|
||||
|
||||
return;
|
||||
}
|
||||
|
||||
// send to all user
|
||||
const users = await User.find({}, '_id');
|
||||
await Inform.insertMany(
|
||||
users.map(({ _id }) => ({
|
||||
type,
|
||||
title,
|
||||
content,
|
||||
userId: _id
|
||||
}))
|
||||
);
|
||||
} catch (error) {
|
||||
console.log('send inform error', error);
|
||||
}
|
||||
}
|
||||
@@ -1,17 +0,0 @@
|
||||
.home {
|
||||
* {
|
||||
position: relative;
|
||||
}
|
||||
|
||||
.textlg {
|
||||
background: linear-gradient(
|
||||
to bottom right,
|
||||
#1237b3 0%,
|
||||
#3370ff 40%,
|
||||
#4e83fd 80%,
|
||||
#85b1ff 100%
|
||||
);
|
||||
-webkit-background-clip: text;
|
||||
-webkit-text-fill-color: transparent;
|
||||
}
|
||||
}
|
||||
@@ -1,56 +0,0 @@
|
||||
import React, { useRef } from 'react';
|
||||
import { useRouter } from 'next/router';
|
||||
import { Card, Box } from '@chakra-ui/react';
|
||||
import { useToast } from '@/hooks/useToast';
|
||||
import { useForm } from 'react-hook-form';
|
||||
import { useQuery } from '@tanstack/react-query';
|
||||
import { useUserStore } from '@/store/user';
|
||||
import { KbItemType } from '@/types/plugin';
|
||||
|
||||
import DataCard from './DataCard';
|
||||
import { getErrText } from '@/utils/tools';
|
||||
import Info, { type ComponentRef } from './Info';
|
||||
|
||||
const Detail = ({ kbId }: { kbId: string }) => {
|
||||
const { toast } = useToast();
|
||||
const router = useRouter();
|
||||
const BasicInfo = useRef<ComponentRef>(null);
|
||||
const { setLastKbId, kbDetail, getKbDetail, loadKbList, myKbList } = useUserStore();
|
||||
|
||||
const form = useForm<KbItemType>({
|
||||
defaultValues: kbDetail
|
||||
});
|
||||
const { reset } = form;
|
||||
|
||||
useQuery([kbId, myKbList], () => getKbDetail(kbId), {
|
||||
onSuccess(res) {
|
||||
kbId && setLastKbId(kbId);
|
||||
if (res) {
|
||||
reset(res);
|
||||
BasicInfo.current?.initInput?.(res.tags);
|
||||
}
|
||||
},
|
||||
onError(err: any) {
|
||||
loadKbList(true);
|
||||
setLastKbId('');
|
||||
router.replace(`/kb`);
|
||||
toast({
|
||||
title: getErrText(err, '获取知识库异常'),
|
||||
status: 'error'
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
return (
|
||||
<Box h={'100%'} p={5} overflow={'overlay'} position={'relative'}>
|
||||
<Card p={6}>
|
||||
<Info ref={BasicInfo} kbId={kbId} form={form} />
|
||||
</Card>
|
||||
<Card p={6} mt={5}>
|
||||
<DataCard kbId={kbId} />
|
||||
</Card>
|
||||
</Box>
|
||||
);
|
||||
};
|
||||
|
||||
export default Detail;
|
||||
@@ -1,227 +0,0 @@
|
||||
import React, {
|
||||
useCallback,
|
||||
useState,
|
||||
useRef,
|
||||
forwardRef,
|
||||
useImperativeHandle,
|
||||
ForwardedRef
|
||||
} from 'react';
|
||||
import { useRouter } from 'next/router';
|
||||
import { Box, Flex, Button, FormControl, IconButton, Tooltip, Input, Tag } from '@chakra-ui/react';
|
||||
import { QuestionOutlineIcon, DeleteIcon } from '@chakra-ui/icons';
|
||||
import { delKbById, putKbById } from '@/api/plugins/kb';
|
||||
import { useSelectFile } from '@/hooks/useSelectFile';
|
||||
import { useToast } from '@/hooks/useToast';
|
||||
import { useUserStore } from '@/store/user';
|
||||
import { useConfirm } from '@/hooks/useConfirm';
|
||||
import { UseFormReturn } from 'react-hook-form';
|
||||
import { compressImg } from '@/utils/file';
|
||||
import type { KbItemType } from '@/types/plugin';
|
||||
import Avatar from '@/components/Avatar';
|
||||
|
||||
export interface ComponentRef {
|
||||
initInput: (tags: string) => void;
|
||||
}
|
||||
|
||||
const Info = (
|
||||
{ kbId, form }: { kbId: string; form: UseFormReturn<KbItemType, any> },
|
||||
ref: ForwardedRef<ComponentRef>
|
||||
) => {
|
||||
const { getValues, formState, setValue, register, handleSubmit } = form;
|
||||
const InputRef = useRef<HTMLInputElement>(null);
|
||||
|
||||
const { toast } = useToast();
|
||||
const router = useRouter();
|
||||
|
||||
const [btnLoading, setBtnLoading] = useState(false);
|
||||
const [refresh, setRefresh] = useState(false);
|
||||
|
||||
const { openConfirm, ConfirmChild } = useConfirm({
|
||||
content: '确认删除该知识库?数据将无法恢复,请确认!'
|
||||
});
|
||||
|
||||
const { File, onOpen: onOpenSelectFile } = useSelectFile({
|
||||
fileType: '.jpg,.png',
|
||||
multiple: false
|
||||
});
|
||||
|
||||
const { kbDetail, getKbDetail, loadKbList, myKbList } = useUserStore();
|
||||
|
||||
/* 点击删除 */
|
||||
const onclickDelKb = useCallback(async () => {
|
||||
setBtnLoading(true);
|
||||
try {
|
||||
await delKbById(kbId);
|
||||
toast({
|
||||
title: '删除成功',
|
||||
status: 'success'
|
||||
});
|
||||
router.replace(`/kb?kbId=${myKbList.find((item) => item._id !== kbId)?._id || ''}`);
|
||||
await loadKbList(true);
|
||||
} catch (err: any) {
|
||||
toast({
|
||||
title: err?.message || '删除失败',
|
||||
status: 'error'
|
||||
});
|
||||
}
|
||||
setBtnLoading(false);
|
||||
}, [setBtnLoading, kbId, toast, router, myKbList, loadKbList]);
|
||||
|
||||
const saveSubmitSuccess = useCallback(
|
||||
async (data: KbItemType) => {
|
||||
setBtnLoading(true);
|
||||
try {
|
||||
await putKbById({
|
||||
id: kbId,
|
||||
...data
|
||||
});
|
||||
await getKbDetail(kbId, true);
|
||||
toast({
|
||||
title: '更新成功',
|
||||
status: 'success'
|
||||
});
|
||||
loadKbList(true);
|
||||
} catch (err: any) {
|
||||
toast({
|
||||
title: err?.message || '更新失败',
|
||||
status: 'error'
|
||||
});
|
||||
}
|
||||
setBtnLoading(false);
|
||||
},
|
||||
[getKbDetail, kbId, loadKbList, toast]
|
||||
);
|
||||
const saveSubmitError = useCallback(() => {
|
||||
// deep search message
|
||||
const deepSearch = (obj: any): string => {
|
||||
if (!obj) return '提交表单错误';
|
||||
if (!!obj.message) {
|
||||
return obj.message;
|
||||
}
|
||||
return deepSearch(Object.values(obj)[0]);
|
||||
};
|
||||
toast({
|
||||
title: deepSearch(formState.errors),
|
||||
status: 'error',
|
||||
duration: 4000,
|
||||
isClosable: true
|
||||
});
|
||||
}, [formState.errors, toast]);
|
||||
|
||||
const onSelectFile = useCallback(
|
||||
async (e: File[]) => {
|
||||
const file = e[0];
|
||||
if (!file) return;
|
||||
try {
|
||||
const base64 = await compressImg({
|
||||
file,
|
||||
maxW: 100,
|
||||
maxH: 100
|
||||
});
|
||||
setValue('avatar', base64);
|
||||
setRefresh((state) => !state);
|
||||
} catch (err: any) {
|
||||
toast({
|
||||
title: typeof err === 'string' ? err : '头像选择异常',
|
||||
status: 'warning'
|
||||
});
|
||||
}
|
||||
},
|
||||
[setRefresh, setValue, toast]
|
||||
);
|
||||
|
||||
useImperativeHandle(ref, () => ({
|
||||
initInput: (tags: string) => {
|
||||
if (InputRef.current) {
|
||||
InputRef.current.value = tags;
|
||||
}
|
||||
}
|
||||
}));
|
||||
|
||||
return (
|
||||
<Box>
|
||||
<Flex>
|
||||
<Box fontWeight={'bold'} fontSize={'2xl'} flex={1}>
|
||||
知识库信息
|
||||
</Box>
|
||||
{kbDetail._id && (
|
||||
<>
|
||||
<Button
|
||||
isLoading={btnLoading}
|
||||
mr={3}
|
||||
onClick={handleSubmit(saveSubmitSuccess, saveSubmitError)}
|
||||
>
|
||||
保存
|
||||
</Button>
|
||||
<IconButton
|
||||
isLoading={btnLoading}
|
||||
icon={<DeleteIcon />}
|
||||
aria-label={''}
|
||||
variant={'solid'}
|
||||
colorScheme={'red'}
|
||||
onClick={openConfirm(onclickDelKb)}
|
||||
/>
|
||||
</>
|
||||
)}
|
||||
</Flex>
|
||||
<Flex mt={5} alignItems={'center'}>
|
||||
<Box flex={'0 0 60px'} w={0}>
|
||||
头像
|
||||
</Box>
|
||||
<Avatar
|
||||
src={getValues('avatar')}
|
||||
w={['28px', '36px']}
|
||||
h={['28px', '36px']}
|
||||
cursor={'pointer'}
|
||||
title={'点击切换头像'}
|
||||
onClick={onOpenSelectFile}
|
||||
/>
|
||||
</Flex>
|
||||
<FormControl mt={5}>
|
||||
<Flex alignItems={'center'} maxW={'350px'}>
|
||||
<Box flex={'0 0 60px'} w={0}>
|
||||
名称
|
||||
</Box>
|
||||
<Input
|
||||
{...register('name', {
|
||||
required: '知识库名称不能为空'
|
||||
})}
|
||||
/>
|
||||
</Flex>
|
||||
</FormControl>
|
||||
<Box>
|
||||
<Flex mt={5} alignItems={'center'} maxW={'350px'} flexWrap={'wrap'}>
|
||||
<Box flex={'0 0 60px'} w={0}>
|
||||
标签
|
||||
<Tooltip label={'仅用于记忆,用空格隔开多个标签'}>
|
||||
<QuestionOutlineIcon ml={1} />
|
||||
</Tooltip>
|
||||
</Box>
|
||||
<Input
|
||||
flex={1}
|
||||
ref={InputRef}
|
||||
placeholder={'标签,使用空格分割。'}
|
||||
onChange={(e) => {
|
||||
setValue('tags', e.target.value);
|
||||
setRefresh(!refresh);
|
||||
}}
|
||||
/>
|
||||
<Box pl={'60px'} mt={2} w="100%">
|
||||
{getValues('tags')
|
||||
.split(' ')
|
||||
.filter((item) => item)
|
||||
.map((item, i) => (
|
||||
<Tag mr={2} mb={2} key={i} variant={'base'} colorScheme={'blue'}>
|
||||
{item}
|
||||
</Tag>
|
||||
))}
|
||||
</Box>
|
||||
</Flex>
|
||||
</Box>
|
||||
<File onSelect={onSelectFile} />
|
||||
<ConfirmChild />
|
||||
</Box>
|
||||
);
|
||||
};
|
||||
|
||||
export default forwardRef(Info);
|
||||
@@ -1,170 +0,0 @@
|
||||
import React, { useCallback, useMemo, useRef, useState } from 'react';
|
||||
import { Box, Flex, Input, IconButton, Tooltip, Tab, useTheme } from '@chakra-ui/react';
|
||||
import { AddIcon } from '@chakra-ui/icons';
|
||||
import { useRouter } from 'next/router';
|
||||
import MyIcon from '@/components/Icon';
|
||||
import { postCreateModel } from '@/api/model';
|
||||
import { useLoading } from '@/hooks/useLoading';
|
||||
import { useToast } from '@/hooks/useToast';
|
||||
import { useQuery } from '@tanstack/react-query';
|
||||
import { useUserStore } from '@/store/user';
|
||||
import { MyModelsTypeEnum } from '@/constants/user';
|
||||
|
||||
import Avatar from '@/components/Avatar';
|
||||
import Tabs from '@/components/Tabs';
|
||||
|
||||
const ModelList = ({ modelId }: { modelId: string }) => {
|
||||
const [currentTab, setCurrentTab] = useState(MyModelsTypeEnum.my);
|
||||
|
||||
const theme = useTheme();
|
||||
const router = useRouter();
|
||||
const { toast } = useToast();
|
||||
const { Loading, setIsLoading } = useLoading();
|
||||
const { myModels, myCollectionModels, loadMyModels, refreshModel } = useUserStore();
|
||||
const [searchText, setSearchText] = useState('');
|
||||
|
||||
/* 加载模型 */
|
||||
const { isFetching } = useQuery(['loadModels'], () => loadMyModels(false));
|
||||
|
||||
const onclickCreateModel = useCallback(async () => {
|
||||
setIsLoading(true);
|
||||
try {
|
||||
const id = await postCreateModel({
|
||||
name: `AI应用${myModels.length + 1}`
|
||||
});
|
||||
toast({
|
||||
title: '创建成功',
|
||||
status: 'success'
|
||||
});
|
||||
refreshModel.freshMyModels();
|
||||
router.push(`/model?modelId=${id}`);
|
||||
} catch (err: any) {
|
||||
toast({
|
||||
title: typeof err === 'string' ? err : err.message || '出现了意外',
|
||||
status: 'error'
|
||||
});
|
||||
}
|
||||
setIsLoading(false);
|
||||
}, [myModels.length, refreshModel, router, setIsLoading, toast]);
|
||||
|
||||
const currentModels = useMemo(() => {
|
||||
const map = {
|
||||
[MyModelsTypeEnum.my]: {
|
||||
list: myModels.filter((item) =>
|
||||
new RegExp(searchText, 'ig').test(item.name + item.systemPrompt)
|
||||
),
|
||||
emptyText: '还没有 AI 应用~\n快来创建一个吧'
|
||||
},
|
||||
[MyModelsTypeEnum.collection]: {
|
||||
list: myCollectionModels.filter((item) =>
|
||||
new RegExp(searchText, 'ig').test(item.name + item.systemPrompt)
|
||||
),
|
||||
emptyText: '收藏的 AI 应用为空~\n快去市场找一个吧'
|
||||
}
|
||||
};
|
||||
return map[currentTab];
|
||||
}, [currentTab, myCollectionModels, myModels, searchText]);
|
||||
|
||||
return (
|
||||
<Flex
|
||||
position={'relative'}
|
||||
flexDirection={'column'}
|
||||
w={'100%'}
|
||||
h={'100%'}
|
||||
bg={'white'}
|
||||
borderRight={['', theme.borders.base]}
|
||||
>
|
||||
<Flex w={'90%'} mt={5} mb={3} mx={'auto'}>
|
||||
<Flex flex={1} mr={2} position={'relative'} alignItems={'center'}>
|
||||
<Input
|
||||
h={'32px'}
|
||||
placeholder="搜索 AI 应用"
|
||||
value={searchText}
|
||||
onChange={(e) => setSearchText(e.target.value)}
|
||||
/>
|
||||
{searchText && (
|
||||
<MyIcon
|
||||
zIndex={10}
|
||||
position={'absolute'}
|
||||
right={3}
|
||||
name={'closeSolid'}
|
||||
w={'16px'}
|
||||
h={'16px'}
|
||||
color={'myGray.500'}
|
||||
cursor={'pointer'}
|
||||
onClick={() => setSearchText('')}
|
||||
/>
|
||||
)}
|
||||
</Flex>
|
||||
<Tooltip label={'新建一个AI应用'}>
|
||||
<IconButton
|
||||
h={'32px'}
|
||||
icon={<AddIcon />}
|
||||
aria-label={''}
|
||||
variant={'base'}
|
||||
onClick={onclickCreateModel}
|
||||
/>
|
||||
</Tooltip>
|
||||
</Flex>
|
||||
<Flex mb={3} userSelect={'none'}>
|
||||
<Box flex={1}></Box>
|
||||
<Tabs
|
||||
w={'130px'}
|
||||
list={[
|
||||
{ label: '我的', id: MyModelsTypeEnum.my },
|
||||
{ label: '收藏', id: MyModelsTypeEnum.collection }
|
||||
]}
|
||||
activeId={currentTab}
|
||||
size={'sm'}
|
||||
onChange={(id: any) => setCurrentTab(id)}
|
||||
/>
|
||||
</Flex>
|
||||
<Box flex={'1 0 0'} h={0} overflow={'overlay'} userSelect={'none'}>
|
||||
{currentModels.list.map((item) => (
|
||||
<Flex
|
||||
key={item._id}
|
||||
position={'relative'}
|
||||
alignItems={['flex-start', 'center']}
|
||||
p={3}
|
||||
mb={[2, 0]}
|
||||
cursor={'pointer'}
|
||||
transition={'background-color .2s ease-in'}
|
||||
_hover={{
|
||||
backgroundImage: ['', theme.lgColor.hoverBlueGradient]
|
||||
}}
|
||||
{...(modelId === item._id
|
||||
? {
|
||||
backgroundImage: `${theme.lgColor.activeBlueGradient} !important`
|
||||
}
|
||||
: {})}
|
||||
onClick={() => {
|
||||
if (item._id === modelId) return;
|
||||
router.push(`/model?modelId=${item._id}`);
|
||||
}}
|
||||
>
|
||||
<Avatar src={item.avatar} w={'34px'} h={'34px'} />
|
||||
<Box flex={'1 0 0'} w={0} ml={3}>
|
||||
<Box className="textEllipsis" color={'myGray.1000'}>
|
||||
{item.name}
|
||||
</Box>
|
||||
<Box className="textEllipsis" color={'myGray.400'} fontSize={'sm'}>
|
||||
{item.systemPrompt || '这个 应用 没有设置提示词~'}
|
||||
</Box>
|
||||
</Box>
|
||||
</Flex>
|
||||
))}
|
||||
{!isFetching && currentModels.list.length === 0 && (
|
||||
<Flex h={'100%'} flexDirection={'column'} alignItems={'center'} pt={'30vh'}>
|
||||
<MyIcon name="empty" w={'48px'} h={'48px'} color={'transparent'} />
|
||||
<Box mt={2} color={'myGray.500'}>
|
||||
{currentModels.emptyText}
|
||||
</Box>
|
||||
</Flex>
|
||||
)}
|
||||
</Box>
|
||||
<Loading loading={isFetching} fixed={false} />
|
||||
</Flex>
|
||||
);
|
||||
};
|
||||
|
||||
export default ModelList;
|
||||
@@ -1,91 +0,0 @@
|
||||
import React from 'react';
|
||||
import {
|
||||
Box,
|
||||
Flex,
|
||||
Accordion,
|
||||
AccordionItem,
|
||||
AccordionButton,
|
||||
AccordionPanel,
|
||||
AccordionIcon
|
||||
} from '@chakra-ui/react';
|
||||
import { getInforms, readInform } from '@/api/user';
|
||||
import { usePagination } from '@/hooks/usePagination';
|
||||
import { useLoading } from '@/hooks/useLoading';
|
||||
import type { informSchema } from '@/types/mongoSchema';
|
||||
import { formatTimeToChatTime } from '@/utils/tools';
|
||||
import MyIcon from '@/components/Icon';
|
||||
|
||||
const BillTable = () => {
|
||||
const { Loading } = useLoading();
|
||||
|
||||
const {
|
||||
data: informs,
|
||||
isLoading,
|
||||
total,
|
||||
pageSize,
|
||||
Pagination,
|
||||
getData,
|
||||
pageNum
|
||||
} = usePagination<informSchema>({
|
||||
api: getInforms
|
||||
});
|
||||
|
||||
return (
|
||||
<Box mt={2}>
|
||||
<Accordion defaultIndex={[0, 1, 2]} allowMultiple>
|
||||
{informs.map((item) => (
|
||||
<AccordionItem
|
||||
key={item._id}
|
||||
onClick={async () => {
|
||||
if (!item.read) {
|
||||
await readInform(item._id);
|
||||
getData(pageNum);
|
||||
}
|
||||
}}
|
||||
>
|
||||
<AccordionButton>
|
||||
<Flex alignItems={'center'} flex="1" textAlign="left">
|
||||
<Box fontWeight={'bold'} position={'relative'}>
|
||||
{!item.read && (
|
||||
<Box
|
||||
w={'5px'}
|
||||
h={'5px'}
|
||||
borderRadius={'10px'}
|
||||
bg={'myRead.600'}
|
||||
position={'absolute'}
|
||||
top={1}
|
||||
left={'-5px'}
|
||||
></Box>
|
||||
)}
|
||||
{item.title}
|
||||
</Box>
|
||||
<Box ml={2} color={'myGray.500'}>
|
||||
{formatTimeToChatTime(item.time)}
|
||||
</Box>
|
||||
</Flex>
|
||||
|
||||
<AccordionIcon />
|
||||
</AccordionButton>
|
||||
<AccordionPanel pb={4}>{item.content}</AccordionPanel>
|
||||
</AccordionItem>
|
||||
))}
|
||||
</Accordion>
|
||||
{!isLoading && informs.length === 0 && (
|
||||
<Flex h={'100%'} flexDirection={'column'} alignItems={'center'} pt={'200px'}>
|
||||
<MyIcon name="empty" w={'48px'} h={'48px'} color={'transparent'} />
|
||||
<Box mt={2} color={'myGray.500'}>
|
||||
暂无通知~
|
||||
</Box>
|
||||
</Flex>
|
||||
)}
|
||||
{total > pageSize && (
|
||||
<Flex w={'100%'} mt={4} justifyContent={'flex-end'}>
|
||||
<Pagination />
|
||||
</Flex>
|
||||
)}
|
||||
<Loading loading={isLoading && informs.length === 0} fixed={false} />
|
||||
</Box>
|
||||
);
|
||||
};
|
||||
|
||||
export default BillTable;
|
||||
@@ -1,107 +0,0 @@
|
||||
import React, { useState, useCallback } from 'react';
|
||||
import {
|
||||
Button,
|
||||
Table,
|
||||
Thead,
|
||||
Tbody,
|
||||
Tr,
|
||||
Th,
|
||||
Td,
|
||||
TableContainer,
|
||||
Flex,
|
||||
Box
|
||||
} from '@chakra-ui/react';
|
||||
import { getPayOrders, checkPayResult } from '@/api/user';
|
||||
import { PaySchema } from '@/types/mongoSchema';
|
||||
import dayjs from 'dayjs';
|
||||
import { useQuery } from '@tanstack/react-query';
|
||||
import { formatPrice } from '@/utils/user';
|
||||
import { useGlobalStore } from '@/store/global';
|
||||
import { useToast } from '@/hooks/useToast';
|
||||
import { useLoading } from '@/hooks/useLoading';
|
||||
import MyIcon from '@/components/Icon';
|
||||
|
||||
const PayRecordTable = () => {
|
||||
const { Loading, setIsLoading } = useLoading();
|
||||
const [payOrders, setPayOrders] = useState<PaySchema[]>([]);
|
||||
const { toast } = useToast();
|
||||
|
||||
const handleRefreshPayOrder = useCallback(
|
||||
async (payId: string) => {
|
||||
setIsLoading(true);
|
||||
|
||||
try {
|
||||
const data = await checkPayResult(payId);
|
||||
toast({
|
||||
title: data,
|
||||
status: 'info'
|
||||
});
|
||||
const res = await getPayOrders();
|
||||
setPayOrders(res);
|
||||
} catch (error: any) {
|
||||
toast({
|
||||
title: error?.message,
|
||||
status: 'warning'
|
||||
});
|
||||
console.log(error);
|
||||
}
|
||||
|
||||
setIsLoading(false);
|
||||
},
|
||||
[setIsLoading, toast]
|
||||
);
|
||||
|
||||
const { isInitialLoading } = useQuery(['initPayOrder'], getPayOrders, {
|
||||
onSuccess(res) {
|
||||
setPayOrders(res);
|
||||
}
|
||||
});
|
||||
|
||||
return (
|
||||
<>
|
||||
<TableContainer>
|
||||
<Table>
|
||||
<Thead>
|
||||
<Tr>
|
||||
<Th>订单号</Th>
|
||||
<Th>时间</Th>
|
||||
<Th>金额</Th>
|
||||
<Th>状态</Th>
|
||||
<Th></Th>
|
||||
</Tr>
|
||||
</Thead>
|
||||
<Tbody fontSize={'sm'}>
|
||||
{payOrders.map((item) => (
|
||||
<Tr key={item._id}>
|
||||
<Td>{item.orderId}</Td>
|
||||
<Td>
|
||||
{item.createTime ? dayjs(item.createTime).format('YYYY/MM/DD HH:mm:ss') : '-'}
|
||||
</Td>
|
||||
<Td>{formatPrice(item.price)}元</Td>
|
||||
<Td>{item.status}</Td>
|
||||
<Td>
|
||||
{item.status === 'NOTPAY' && (
|
||||
<Button onClick={() => handleRefreshPayOrder(item._id)} size={'sm'}>
|
||||
更新
|
||||
</Button>
|
||||
)}
|
||||
</Td>
|
||||
</Tr>
|
||||
))}
|
||||
</Tbody>
|
||||
</Table>
|
||||
</TableContainer>
|
||||
{!isInitialLoading && payOrders.length === 0 && (
|
||||
<Flex h={'100%'} flexDirection={'column'} alignItems={'center'} pt={'200px'}>
|
||||
<MyIcon name="empty" w={'48px'} h={'48px'} color={'transparent'} />
|
||||
<Box mt={2} color={'myGray.500'}>
|
||||
无支付记录~
|
||||
</Box>
|
||||
</Flex>
|
||||
)}
|
||||
<Loading loading={isInitialLoading} fixed={false} />
|
||||
</>
|
||||
);
|
||||
};
|
||||
|
||||
export default PayRecordTable;
|
||||
@@ -1,68 +0,0 @@
|
||||
import React from 'react';
|
||||
import { Flex, Table, Thead, Tbody, Tr, Th, Td, TableContainer, Box } from '@chakra-ui/react';
|
||||
import { useLoading } from '@/hooks/useLoading';
|
||||
import dayjs from 'dayjs';
|
||||
import { getPromotionRecords } from '@/api/user';
|
||||
import { usePagination } from '@/hooks/usePagination';
|
||||
import { PromotionRecordType } from '@/api/response/user';
|
||||
import { PromotionTypeMap } from '@/constants/user';
|
||||
import MyIcon from '@/components/Icon';
|
||||
|
||||
const OpenApi = () => {
|
||||
const { Loading } = useLoading();
|
||||
|
||||
const {
|
||||
data: promotionRecords,
|
||||
isLoading,
|
||||
total,
|
||||
pageSize,
|
||||
Pagination
|
||||
} = usePagination<PromotionRecordType>({
|
||||
api: getPromotionRecords
|
||||
});
|
||||
|
||||
return (
|
||||
<>
|
||||
<TableContainer position={'relative'} overflow={'hidden'} minH={'200px'}>
|
||||
<Table>
|
||||
<Thead>
|
||||
<Tr>
|
||||
<Th>时间</Th>
|
||||
<Th>类型</Th>
|
||||
<Th>金额</Th>
|
||||
</Tr>
|
||||
</Thead>
|
||||
<Tbody fontSize={'sm'}>
|
||||
{promotionRecords.map((item) => (
|
||||
<Tr key={item._id}>
|
||||
<Td>
|
||||
{item.createTime ? dayjs(item.createTime).format('YYYY/MM/DD HH:mm:ss') : '-'}
|
||||
</Td>
|
||||
<Td>{PromotionTypeMap[item.type]}</Td>
|
||||
<Td>{item.amount}</Td>
|
||||
</Tr>
|
||||
))}
|
||||
</Tbody>
|
||||
</Table>
|
||||
|
||||
<Loading loading={isLoading} fixed={false} />
|
||||
</TableContainer>
|
||||
|
||||
{!isLoading && promotionRecords.length === 0 && (
|
||||
<Flex flexDirection={'column'} alignItems={'center'}>
|
||||
<MyIcon name="empty" w={'48px'} h={'48px'} color={'transparent'} />
|
||||
<Box mt={2} color={'myGray.500'}>
|
||||
无佣金记录~
|
||||
</Box>
|
||||
</Flex>
|
||||
)}
|
||||
{total > pageSize && (
|
||||
<Flex mt={4} justifyContent={'flex-end'}>
|
||||
<Pagination />
|
||||
</Flex>
|
||||
)}
|
||||
</>
|
||||
);
|
||||
};
|
||||
|
||||
export default OpenApi;
|
||||
@@ -1,276 +0,0 @@
|
||||
import React, { useCallback, useRef, useState } from 'react';
|
||||
import { Card, Box, Flex, Button, Input, Grid, useDisclosure } from '@chakra-ui/react';
|
||||
import { useForm } from 'react-hook-form';
|
||||
import { UserUpdateParams } from '@/types/user';
|
||||
import { putUserInfo, getPromotionInitData } from '@/api/user';
|
||||
import { useToast } from '@/hooks/useToast';
|
||||
import { useGlobalStore } from '@/store/global';
|
||||
import { useUserStore } from '@/store/user';
|
||||
import { UserType } from '@/types/user';
|
||||
import { clearCookie } from '@/utils/user';
|
||||
import { useRouter } from 'next/router';
|
||||
import { useQuery } from '@tanstack/react-query';
|
||||
import dynamic from 'next/dynamic';
|
||||
import { useSelectFile } from '@/hooks/useSelectFile';
|
||||
import { compressImg } from '@/utils/file';
|
||||
import { useCopyData } from '@/utils/tools';
|
||||
import Loading from '@/components/Loading';
|
||||
import Avatar from '@/components/Avatar';
|
||||
import MyIcon from '@/components/Icon';
|
||||
import Tabs from '@/components/Tabs';
|
||||
|
||||
const PayRecordTable = dynamic(() => import('./components/PayRecordTable'), {
|
||||
loading: () => <Loading fixed={false} />,
|
||||
ssr: false
|
||||
});
|
||||
const BilTable = dynamic(() => import('./components/BillTable'), {
|
||||
loading: () => <Loading fixed={false} />,
|
||||
ssr: false
|
||||
});
|
||||
const PromotionTable = dynamic(() => import('./components/PromotionTable'), {
|
||||
loading: () => <Loading fixed={false} />,
|
||||
ssr: false
|
||||
});
|
||||
const InformTable = dynamic(() => import('./components/InformTable'), {
|
||||
loading: () => <Loading fixed={false} />,
|
||||
ssr: false
|
||||
});
|
||||
const PayModal = dynamic(() => import('./components/PayModal'), {
|
||||
loading: () => <Loading fixed={false} />,
|
||||
ssr: false
|
||||
});
|
||||
const WxConcat = dynamic(() => import('@/components/WxConcat'), {
|
||||
loading: () => <Loading fixed={false} />,
|
||||
ssr: false
|
||||
});
|
||||
|
||||
enum TableEnum {
|
||||
'bill' = 'bill',
|
||||
'pay' = 'pay',
|
||||
'promotion' = 'promotion',
|
||||
'inform' = 'inform'
|
||||
}
|
||||
|
||||
const NumberSetting = ({ tableType }: { tableType: `${TableEnum}` }) => {
|
||||
const tableList = useRef([
|
||||
{ label: '账单', id: TableEnum.bill, Component: <BilTable /> },
|
||||
{ label: '充值', id: TableEnum.pay, Component: <PayRecordTable /> },
|
||||
{ label: '佣金', id: TableEnum.promotion, Component: <PromotionTable /> },
|
||||
{ label: '通知', id: TableEnum.inform, Component: <InformTable /> }
|
||||
]);
|
||||
const [currentTab, setCurrentTab] = useState(tableType);
|
||||
|
||||
const router = useRouter();
|
||||
const { copyData } = useCopyData();
|
||||
const { userInfo, updateUserInfo, initUserInfo, setUserInfo } = useUserStore();
|
||||
const { setLoading } = useGlobalStore();
|
||||
const { register, handleSubmit, reset } = useForm<UserUpdateParams>({
|
||||
defaultValues: userInfo as UserType
|
||||
});
|
||||
const { toast } = useToast();
|
||||
const {
|
||||
isOpen: isOpenPayModal,
|
||||
onClose: onClosePayModal,
|
||||
onOpen: onOpenPayModal
|
||||
} = useDisclosure();
|
||||
const {
|
||||
isOpen: isOpenWxConcat,
|
||||
onClose: onCloseWxConcat,
|
||||
onOpen: onOpenWxConcat
|
||||
} = useDisclosure();
|
||||
|
||||
const { File, onOpen: onOpenSelectFile } = useSelectFile({
|
||||
fileType: '.jpg,.png',
|
||||
multiple: false
|
||||
});
|
||||
|
||||
const onclickSave = useCallback(
|
||||
async (data: UserUpdateParams) => {
|
||||
setLoading(true);
|
||||
try {
|
||||
await putUserInfo({
|
||||
openaiKey: data.openaiKey,
|
||||
avatar: data.avatar
|
||||
});
|
||||
updateUserInfo({
|
||||
openaiKey: data.openaiKey,
|
||||
avatar: data.avatar
|
||||
});
|
||||
reset(data);
|
||||
toast({
|
||||
title: '更新成功',
|
||||
status: 'success'
|
||||
});
|
||||
} catch (error) {}
|
||||
setLoading(false);
|
||||
},
|
||||
[reset, setLoading, toast, updateUserInfo]
|
||||
);
|
||||
|
||||
const onSelectFile = useCallback(
|
||||
async (e: File[]) => {
|
||||
const file = e[0];
|
||||
if (!file) return;
|
||||
try {
|
||||
const base64 = await compressImg({
|
||||
file,
|
||||
maxW: 100,
|
||||
maxH: 100
|
||||
});
|
||||
onclickSave({
|
||||
...userInfo,
|
||||
avatar: base64
|
||||
});
|
||||
} catch (err: any) {
|
||||
toast({
|
||||
title: typeof err === 'string' ? err : '头像选择异常',
|
||||
status: 'warning'
|
||||
});
|
||||
}
|
||||
},
|
||||
[onclickSave, toast, userInfo]
|
||||
);
|
||||
|
||||
const onclickLogOut = useCallback(() => {
|
||||
clearCookie();
|
||||
setUserInfo(null);
|
||||
router.replace('/login');
|
||||
}, [router, setUserInfo]);
|
||||
|
||||
useQuery(['init'], initUserInfo, {
|
||||
onSuccess(res) {
|
||||
reset(res);
|
||||
}
|
||||
});
|
||||
const { data: { invitedAmount = 0, historyAmount = 0, residueAmount = 0 } = {} } = useQuery(
|
||||
['getPromotionInitData'],
|
||||
getPromotionInitData
|
||||
);
|
||||
|
||||
return (
|
||||
<Box py={[5, 10]} px={'5vw'}>
|
||||
<Grid gridTemplateColumns={['1fr', '3fr 300px']} gridGap={4}>
|
||||
<Card px={6} py={4}>
|
||||
<Flex justifyContent={'space-between'}>
|
||||
<Box fontSize={'xl'} fontWeight={'bold'}>
|
||||
账号信息
|
||||
</Box>
|
||||
<Button variant={'base'} size={'xs'} onClick={onclickLogOut}>
|
||||
退出登录
|
||||
</Button>
|
||||
</Flex>
|
||||
<Flex mt={6} alignItems={'center'}>
|
||||
<Box flex={'0 0 50px'}>头像:</Box>
|
||||
<Avatar
|
||||
src={userInfo?.avatar}
|
||||
w={['28px', '36px']}
|
||||
h={['28px', '36px']}
|
||||
cursor={'pointer'}
|
||||
title={'点击切换头像'}
|
||||
onClick={onOpenSelectFile}
|
||||
/>
|
||||
</Flex>
|
||||
<Flex mt={6} alignItems={'center'}>
|
||||
<Box flex={'0 0 50px'}>账号:</Box>
|
||||
<Box>{userInfo?.username}</Box>
|
||||
</Flex>
|
||||
<Box mt={6}>
|
||||
<Flex alignItems={'center'}>
|
||||
<Box flex={'0 0 50px'}>余额:</Box>
|
||||
<Box>
|
||||
<strong>{userInfo?.balance}</strong> 元
|
||||
</Box>
|
||||
<Button size={['xs', 'sm']} w={['70px', '80px']} ml={5} onClick={onOpenPayModal}>
|
||||
充值
|
||||
</Button>
|
||||
</Flex>
|
||||
<Box fontSize={'xs'} color={'blackAlpha.500'}>
|
||||
如果填写了自己的 openai 账号,网页上 openai 模型对话不会计费。
|
||||
</Box>
|
||||
</Box>
|
||||
<Flex mt={6} alignItems={'center'}>
|
||||
<Box flex={'0 0 85px'}>openaiKey:</Box>
|
||||
<Input
|
||||
{...register(`openaiKey`)}
|
||||
maxW={'300px'}
|
||||
placeholder={'openai账号。回车或失去焦点保存'}
|
||||
size={'sm'}
|
||||
onBlur={handleSubmit(onclickSave)}
|
||||
onKeyDown={(e) => {
|
||||
if (e.keyCode === 13) {
|
||||
handleSubmit(onclickSave)();
|
||||
}
|
||||
}}
|
||||
></Input>
|
||||
</Flex>
|
||||
</Card>
|
||||
<Card px={6} py={4}>
|
||||
<Box fontSize={'xl'} fontWeight={'bold'}>
|
||||
我的邀请
|
||||
</Box>
|
||||
{[
|
||||
{ label: '佣金比例', value: `${userInfo?.promotion.rate || 15}%` },
|
||||
{ label: '已注册用户数', value: `${invitedAmount}人` },
|
||||
{ label: '累计佣金', value: `¥${historyAmount}` }
|
||||
].map((item) => (
|
||||
<Flex key={item.label} alignItems={'center'} mt={4} justifyContent={'space-between'}>
|
||||
<Box w={'120px'}>{item.label}</Box>
|
||||
<Box fontWeight={'bold'}>{item.value}</Box>
|
||||
</Flex>
|
||||
))}
|
||||
<Button
|
||||
mt={4}
|
||||
variant={'base'}
|
||||
w={'100%'}
|
||||
onClick={() =>
|
||||
copyData(`${location.origin}/?inviterId=${userInfo?._id}`, '已复制邀请链接')
|
||||
}
|
||||
>
|
||||
复制邀请链接
|
||||
</Button>
|
||||
<Button
|
||||
mt={4}
|
||||
leftIcon={<MyIcon name="withdraw" w={'22px'} />}
|
||||
px={4}
|
||||
title={residueAmount < 50 ? '最低提现额度为50元' : ''}
|
||||
isDisabled={residueAmount < 50}
|
||||
variant={'base'}
|
||||
colorScheme={'myBlue'}
|
||||
onClick={onOpenWxConcat}
|
||||
>
|
||||
{residueAmount < 50 ? '50元起提' : '提现'}
|
||||
</Button>
|
||||
</Card>
|
||||
</Grid>
|
||||
|
||||
<Card mt={4} px={[3, 6]} py={4}>
|
||||
<Tabs
|
||||
w={'200px'}
|
||||
list={tableList.current}
|
||||
activeId={currentTab}
|
||||
size={'sm'}
|
||||
onChange={(id: any) => setCurrentTab(id)}
|
||||
/>
|
||||
<Box>
|
||||
{(() => {
|
||||
const item = tableList.current.find((item) => item.id === currentTab);
|
||||
|
||||
return item ? item.Component : null;
|
||||
})()}
|
||||
</Box>
|
||||
</Card>
|
||||
|
||||
{isOpenPayModal && <PayModal onClose={onClosePayModal} />}
|
||||
{isOpenWxConcat && <WxConcat onClose={onCloseWxConcat} />}
|
||||
<File onSelect={onSelectFile} />
|
||||
</Box>
|
||||
);
|
||||
};
|
||||
|
||||
export default NumberSetting;
|
||||
|
||||
NumberSetting.getInitialProps = ({ query, req }: any) => {
|
||||
return {
|
||||
tableType: query?.type || TableEnum.bill
|
||||
};
|
||||
};
|
||||
@@ -1,40 +0,0 @@
|
||||
import { Schema, model, models, Model } from 'mongoose';
|
||||
import { informSchema } from '@/types/mongoSchema';
|
||||
import { InformTypeMap } from '@/constants/user';
|
||||
|
||||
const InformSchema = new Schema({
|
||||
userId: {
|
||||
type: Schema.Types.ObjectId,
|
||||
ref: 'user',
|
||||
required: true
|
||||
},
|
||||
time: {
|
||||
type: Date,
|
||||
default: () => new Date()
|
||||
},
|
||||
type: {
|
||||
type: String,
|
||||
enum: Object.keys(InformTypeMap)
|
||||
},
|
||||
title: {
|
||||
type: String,
|
||||
required: true
|
||||
},
|
||||
content: {
|
||||
type: String,
|
||||
required: true
|
||||
},
|
||||
read: {
|
||||
type: Boolean,
|
||||
default: false
|
||||
}
|
||||
});
|
||||
|
||||
try {
|
||||
InformSchema.index({ time: -1 });
|
||||
InformSchema.index({ userId: 1 });
|
||||
} catch (error) {
|
||||
console.log(error);
|
||||
}
|
||||
|
||||
export const Inform: Model<informSchema> = models['inform'] || model('inform', InformSchema);
|
||||
@@ -1,34 +0,0 @@
|
||||
import { Schema, model, models } from 'mongoose';
|
||||
|
||||
const SystemSchema = new Schema({
|
||||
openAIKeys: {
|
||||
type: String,
|
||||
default: ''
|
||||
},
|
||||
openAITrainingKeys: {
|
||||
type: String,
|
||||
default: ''
|
||||
},
|
||||
gpt4Key: {
|
||||
type: String,
|
||||
default: ''
|
||||
},
|
||||
vectorMaxProcess: {
|
||||
type: Number,
|
||||
default: 10
|
||||
},
|
||||
qaMaxProcess: {
|
||||
type: Number,
|
||||
default: 10
|
||||
},
|
||||
pgIvfflatProbe: {
|
||||
type: Number,
|
||||
default: 10
|
||||
},
|
||||
sensitiveCheck: {
|
||||
type: Boolean,
|
||||
default: false
|
||||
}
|
||||
});
|
||||
|
||||
export const System = models['system'] || model('system', SystemSchema);
|
||||
@@ -67,10 +67,6 @@ do
|
||||
done
|
||||
```
|
||||
|
||||
## FastGpt Admin
|
||||
|
||||
参考 admin 里的 README.md
|
||||
|
||||
## 其他优化点
|
||||
|
||||
# Git Action 自动打包镜像
|
||||
|
||||
@@ -1,8 +1,7 @@
|
||||
version: '3.3'
|
||||
services:
|
||||
pg:
|
||||
image: ankane/pgvector:v0.4.2 # dockerhub
|
||||
# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/pgvector:v0.4.2 # 阿里云
|
||||
image: ankane/pgvector:v0.4.2
|
||||
container_name: pg
|
||||
restart: always
|
||||
ports:
|
||||
@@ -19,7 +18,6 @@ services:
|
||||
- /etc/localtime:/etc/localtime:ro
|
||||
mongodb:
|
||||
image: mongo:5.0.18
|
||||
# image : registry.cn-hangzhou.aliyuncs.com/fastgpt/mongo:5.0.18 # 阿里云
|
||||
container_name: mongo
|
||||
restart: always
|
||||
ports:
|
||||
@@ -33,20 +31,17 @@ services:
|
||||
- /root/fastgpt/mongo/logs:/var/log/mongodb
|
||||
- /etc/localtime:/etc/localtime:ro
|
||||
fastgpt:
|
||||
image: ghcr.io/c121914yu/fastgpt:latest # github
|
||||
# image: c121914yu/fast-gpt:latest # docker hub
|
||||
# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:latest # 阿里云
|
||||
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:latest
|
||||
network_mode: host
|
||||
restart: always
|
||||
container_name: fastgpt
|
||||
environment: # 可选的变量,不需要的话需要去掉
|
||||
- PORT=3000 # 运行的端口地址,如果不是 3000,需要修改成实际地址。
|
||||
# proxy(可选)
|
||||
- AXIOS_PROXY_HOST=127.0.0.1
|
||||
- AXIOS_PROXY_PORT=7890
|
||||
# 发送邮箱验证码配置。用的是QQ邮箱。参考 nodeMail 获取MAILE_CODE,自行百度。
|
||||
- MY_MAIL=54545@qq.com
|
||||
- MAILE_CODE=1234
|
||||
- MY_MAIL=xxxx@qq.com
|
||||
- MAILE_CODE=xxxx
|
||||
# 阿里短信服务(邮箱和短信至少二选一)
|
||||
- aliAccessKeyId=xxxx
|
||||
- aliAccessKeySecret=xxxx
|
||||
@@ -55,27 +50,33 @@ services:
|
||||
# google V3 安全校验(可选)
|
||||
- CLIENT_GOOGLE_VER_TOKEN=xxx
|
||||
- SERVICE_GOOGLE_VER_TOKEN=xx
|
||||
# QA和向量生成最大进程数
|
||||
- QA_MAX_PROCESS=10
|
||||
- VECTOR_MAX_PROCESS=10
|
||||
# token加密凭证(随便填,作为登录凭证)
|
||||
- TOKEN_KEY=xxxx
|
||||
# root key, 最高权限,可以内部接口互相调用
|
||||
- ROOT_KEY=xxx
|
||||
# 是否进行内容安全校验(1: 开启,0: 关闭)
|
||||
- SENSITIVE_CHECK=1
|
||||
# 和上方mongo镜像的username,password对应
|
||||
- MONGODB_URI=mongodb://username:password@0.0.0.0:27017/?authSource=admin
|
||||
- MONGODB_NAME=fastgpt
|
||||
- PG_HOST=0.0.0.0
|
||||
- PG_PORT=8100
|
||||
# 和上方PG镜像对应.
|
||||
- PG_USER=fastgpt
|
||||
- PG_PASSWORD=1234
|
||||
- PG_DB_NAME=fastgpt
|
||||
- PG_USER=fastgpt # POSTGRES_USER
|
||||
- PG_PASSWORD=1234 # POSTGRES_PASSWORD
|
||||
- PG_DB_NAME=fastgpt # POSTGRES_DB
|
||||
# openai
|
||||
# 对话用的key,多个key,逗号分开
|
||||
- OPENAIKEY=sk-xxxxx,sk-xxx
|
||||
# 训练用的key
|
||||
- OPENAI_TRAINING_KEY=sk-xxx,sk-xxxx
|
||||
- OPENAIKEY=sk-xxxxx,sk-xxx # 对话用的key,多个key,逗号分开
|
||||
- OPENAI_TRAINING_KEY=sk-xxx,sk-xxxx # 训练用的key
|
||||
- GPT4KEY=sk-xxx
|
||||
- OPENAI_BASE_URL=https://api.openai.com/v1
|
||||
- OPENAI_BASE_URL_AUTH=可选的安全凭证
|
||||
# claude
|
||||
- CLAUDE_BASE_URL=calude模型请求地址
|
||||
- CLAUDE_KEY=CLAUDE_KEY
|
||||
nginx:
|
||||
image: nginx:alpine3.17
|
||||
container_name: nginx
|
||||
|
||||
@@ -16,6 +16,6 @@ CREATE TABLE IF NOT EXISTS modelData (
|
||||
-- CREATE INDEX IF NOT EXISTS modelData_userId_index ON modelData USING HASH (user_id);
|
||||
-- CREATE INDEX IF NOT EXISTS modelData_kbId_index ON modelData USING HASH (kb_id);
|
||||
-- CREATE INDEX IF NOT EXISTS idx_model_data_md5_q_a_user_id_kb_id ON modelData (md5(q), md5(a), user_id, kb_id);
|
||||
-- CREATE INDEX modeldata_id_desc_idx ON modeldata (id DESC);
|
||||
-- vector 索引,可以参考 [pg vector](https://github.com/pgvector/pgvector) 去配置,根据数据量去配置
|
||||
-- CREATE INDEX IF NOT EXISTS vector_index ON modelData USING ivfflat (vector vector_cosine_ops) WITH (lists = 1000);
|
||||
-- vector 索引,可以到 pg vector 去配置,根据数据量去配置
|
||||
EOSQL
|
||||
|
||||
@@ -82,13 +82,13 @@ CREATE TABLE modelData (
|
||||
vector VECTOR(1536),
|
||||
status VARCHAR(50) NOT NULL,
|
||||
user_id VARCHAR(50) NOT NULL,
|
||||
kb_id VARCHAR(50) NOT NULL,
|
||||
model_id VARCHAR(50) NOT NULL,
|
||||
q TEXT NOT NULL,
|
||||
a TEXT NOT NULL
|
||||
);
|
||||
-- create index
|
||||
CREATE INDEX modelData_status_index ON modelData (status);
|
||||
CREATE INDEX modelData_kbId_index ON modelData (kb_id);
|
||||
CREATE INDEX modelData_modelId_index ON modelData (model_id);
|
||||
CREATE INDEX modelData_userId_index ON modelData (user_id);
|
||||
EOSQL
|
||||
```
|
||||
|
||||
@@ -1,31 +0,0 @@
|
||||
# 运行端口,如果不是 3000 口运行,需要改成其他的。注意:不是改了这个变量就会变成其他端口,而是因为改成其他端口,才用这个变量。
|
||||
PORT=3000
|
||||
# 代理
|
||||
# AXIOS_PROXY_HOST=127.0.0.1
|
||||
# AXIOS_PROXY_PORT=7890
|
||||
# email
|
||||
MY_MAIL=xxxx@qq.com
|
||||
MAILE_CODE=xxxx
|
||||
# ali ems
|
||||
aliAccessKeyId=xxxx
|
||||
aliAccessKeySecret=xxxx
|
||||
aliSignName=xxxx
|
||||
aliTemplateCode=xxxx
|
||||
# token
|
||||
TOKEN_KEY=dfdasfdas
|
||||
# root key, 最高权限
|
||||
ROOT_KEY=fdafasd
|
||||
# openai
|
||||
# OPENAI_BASE_URL=http://ai.openai.com/v1
|
||||
# OPENAI_BASE_URL_AUTH=可选安全凭证,会放到 header.auth 里
|
||||
OPENAIKEY=sk-xxx
|
||||
OPENAI_TRAINING_KEY=sk-xxx
|
||||
GPT4KEY=sk-xxx
|
||||
# db
|
||||
MONGODB_URI=mongodb://username:password@0.0.0.0:27017/?authSource=admin
|
||||
MONGODB_NAME=fastgpt
|
||||
PG_HOST=0.0.0.0
|
||||
PG_PORT=8100
|
||||
PG_USER=root
|
||||
PG_PASSWORD=psw
|
||||
PG_DB_NAME=dbname
|
||||
@@ -6,15 +6,44 @@
|
||||
|
||||
复制.env.template 文件,生成一个.env.local 环境变量文件夹,修改.env.local 里内容。
|
||||
|
||||
```bash
|
||||
# proxy(可选)
|
||||
AXIOS_PROXY_HOST=127.0.0.1
|
||||
AXIOS_PROXY_PORT=7890
|
||||
# email
|
||||
MY_MAIL=xxx@qq.com
|
||||
MAILE_CODE=xxx
|
||||
# ali ems
|
||||
aliAccessKeyId=xxx
|
||||
aliAccessKeySecret=xxx
|
||||
aliSignName=xxx
|
||||
aliTemplateCode=SMS_xxx
|
||||
# token
|
||||
TOKEN_KEY=xxx
|
||||
# root key, 最高权限
|
||||
ROOT_KEY=xxx
|
||||
# 是否进行安全校验(1: 开启,0: 关闭)
|
||||
SENSITIVE_CHECK=1
|
||||
# openai
|
||||
# OPENAI_BASE_URL=https://api.openai.com/v1
|
||||
# OPENAI_BASE_URL_AUTH=可选的安全凭证(不需要的时候,记得去掉)
|
||||
OPENAIKEY=sk-xxx # 对话用的key
|
||||
OPENAI_TRAINING_KEY=sk-xxx # 训练用的key
|
||||
GPT4KEY=sk-xxx
|
||||
# claude
|
||||
CLAUDE_BASE_URL=calude模型请求地址
|
||||
CLAUDE_KEY=CLAUDE_KEY
|
||||
# db
|
||||
MONGODB_URI=mongodb://username:password@0.0.0.0:27017/test?authSource=admin
|
||||
PG_HOST=0.0.0.0
|
||||
PG_PORT=8100
|
||||
PG_USER=xxx
|
||||
PG_PASSWORD=xxx
|
||||
PG_DB_NAME=xxx
|
||||
```
|
||||
|
||||
## 运行
|
||||
|
||||
```
|
||||
pnpm dev
|
||||
```
|
||||
|
||||
## 镜像打包
|
||||
|
||||
```bash
|
||||
# 代理可选,不需要的去掉
|
||||
docker build -t registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:latest . --network host --build-arg HTTP_PROXY=http://127.0.0.1:7890 --build-arg HTTPS_PROXY=http://127.0.0.1:7890
|
||||
```
|
||||
|
||||
78
package.json
@@ -3,16 +3,86 @@
|
||||
"version": "3.7",
|
||||
"private": true,
|
||||
"scripts": {
|
||||
"dev": "next dev",
|
||||
"build": "next build",
|
||||
"start": "next start",
|
||||
"lint": "next lint",
|
||||
"prepare": "husky install",
|
||||
"format": "prettier --config \"./.prettierrc.js\" --write \"./**/src/**/*.{ts,tsx,scss}\""
|
||||
"format": "prettier --config \"./.prettierrc.js\" --write \"./src/**/*.{ts,tsx,scss}\""
|
||||
},
|
||||
"dependencies": {
|
||||
"@alicloud/dysmsapi20170525": "^2.0.23",
|
||||
"@alicloud/openapi-client": "^0.4.5",
|
||||
"@alicloud/tea-util": "^1.4.5",
|
||||
"@chakra-ui/icons": "^2.0.17",
|
||||
"@chakra-ui/react": "^2.5.1",
|
||||
"@chakra-ui/system": "^2.5.5",
|
||||
"@dqbd/tiktoken": "^1.0.6",
|
||||
"@emotion/react": "^11.10.6",
|
||||
"@emotion/styled": "^11.10.6",
|
||||
"@next/font": "13.1.6",
|
||||
"@tanstack/react-query": "^4.24.10",
|
||||
"@types/nprogress": "^0.2.0",
|
||||
"axios": "^1.3.3",
|
||||
"cookie": "^0.5.0",
|
||||
"crypto": "^1.0.1",
|
||||
"dayjs": "^1.11.7",
|
||||
"eventsource-parser": "^0.1.0",
|
||||
"formidable": "^2.1.1",
|
||||
"framer-motion": "^9.0.6",
|
||||
"graphemer": "^1.4.0",
|
||||
"hyperdown": "^2.4.29",
|
||||
"immer": "^9.0.19",
|
||||
"jsonwebtoken": "^9.0.0",
|
||||
"lodash": "^4.17.21",
|
||||
"mammoth": "^1.5.1",
|
||||
"mongoose": "^6.10.0",
|
||||
"nanoid": "^4.0.1",
|
||||
"next": "13.1.6",
|
||||
"nextjs-cors": "^2.1.2",
|
||||
"nodemailer": "^6.9.1",
|
||||
"nprogress": "^0.2.0",
|
||||
"openai": "^3.2.1",
|
||||
"papaparse": "^5.4.1",
|
||||
"pg": "^8.10.0",
|
||||
"react": "18.2.0",
|
||||
"react-dom": "18.2.0",
|
||||
"react-hook-form": "^7.43.1",
|
||||
"react-markdown": "^8.0.5",
|
||||
"react-syntax-highlighter": "^15.5.0",
|
||||
"rehype-katex": "^6.0.2",
|
||||
"remark-gfm": "^3.0.1",
|
||||
"remark-math": "^5.1.1",
|
||||
"request-ip": "^3.3.0",
|
||||
"sass": "^1.58.3",
|
||||
"tunnel": "^0.0.6",
|
||||
"wxpay-v3": "^3.0.2",
|
||||
"zustand": "^4.3.5"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@svgr/webpack": "^6.5.1",
|
||||
"@types/cookie": "^0.5.1",
|
||||
"@types/formidable": "^2.0.5",
|
||||
"@types/jsonwebtoken": "^9.0.1",
|
||||
"@types/lodash": "^4.14.191",
|
||||
"@types/node": "18.14.0",
|
||||
"@types/nodemailer": "^6.4.7",
|
||||
"@types/papaparse": "^5.3.7",
|
||||
"@types/pg": "^8.6.6",
|
||||
"@types/react": "18.0.28",
|
||||
"@types/react-dom": "18.0.11",
|
||||
"@types/react-syntax-highlighter": "^15.5.6",
|
||||
"@types/request-ip": "^0.0.37",
|
||||
"@types/tunnel": "^0.0.3",
|
||||
"eslint": "8.34.0",
|
||||
"eslint-config-next": "13.1.6",
|
||||
"husky": "^8.0.3",
|
||||
"lint-staged": "^13.2.1",
|
||||
"prettier": "^2.8.7"
|
||||
"lint-staged": "^13.1.2",
|
||||
"prettier": "^2.8.4",
|
||||
"typescript": "4.9.5"
|
||||
},
|
||||
"lint-staged": {
|
||||
"./**/**/*.{ts,tsx,scss}": "npm run format"
|
||||
"./src/**/*.{ts,tsx,scss}": "npm run format"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18.0.0"
|
||||
|
||||
11530
pnpm-lock.yaml
generated
@@ -11,10 +11,10 @@
|
||||
移动端:点击对话头像,可以选择复制或删除该条内容。
|
||||
|
||||
**价格表**
|
||||
如果使用了自己的 Api Key,网页上 openai 模型聊天不会计费。可以在账号页,看到详细账单。
|
||||
如果使用了自己的 Api Key,不会计费。可以在账号页,看到详细账单。
|
||||
| 计费项 | 价格: 元/ 1K tokens(包含上下文)|
|
||||
| --- | --- |
|
||||
| 知识库 - 索引 | 0.001 |
|
||||
| 知识库 - 索引 | 免费 |
|
||||
| chatgpt - 对话 | 0.025 |
|
||||
| gpt4 - 对话 | 0.5 |
|
||||
| 文件拆分 | 0.025 |
|
||||
@@ -15,10 +15,10 @@ FastGpt 项目完全开源,可随意私有化部署,去除平台风险忧虑
|
||||
|
||||
### 价格表
|
||||
|
||||
如果使用了自己的 Api Key,网页上 openai 模型聊天不会计费。可以在账号页,看到详细账单。
|
||||
如果使用了自己的 Api Key,不会计费。可以在账号页,看到详细账单。
|
||||
| 计费项 | 价格: 元/ 1K tokens(包含上下文)|
|
||||
| --- | --- |
|
||||
| 知识库 - 索引 | 0.001 |
|
||||
| 知识库 - 索引 | 免费 |
|
||||
| chatgpt - 对话 | 0.025 |
|
||||
| gpt4 - 对话 | 0.5 |
|
||||
| 文件拆分 | 0.025 |
|
||||
10
public/docs/versionIntro.md
Normal file
@@ -0,0 +1,10 @@
|
||||
### Fast GPT V3.8.1
|
||||
|
||||
1. 新增 - 自定义历史记录标题。
|
||||
2. 新增 - 置顶历史记录。
|
||||
3. 新增 - 自动置顶最近聊天的模型。
|
||||
4. 优化 - 索引和 QA 队列,支持多节点和并发(目前线上大概 2500 条/分钟)
|
||||
5. 优化 - 随机任务,不再按线性等待。
|
||||
6. 优化 - 内容分段导入和进度查看,不再担心大文件无法导入
|
||||
7. 优化 - 导出的 csv 大小。最大支持 100M 导出。
|
||||
8. 知识库数量说明,由于线上数据太多,没法创建索引,所以目前如果超过 5w 组数据,大概率会失败。
|
||||
|
Before Width: | Height: | Size: 17 KiB After Width: | Height: | Size: 17 KiB |
|
Before Width: | Height: | Size: 52 KiB After Width: | Height: | Size: 52 KiB |
|
Before Width: | Height: | Size: 3.3 KiB After Width: | Height: | Size: 3.3 KiB |
|
Before Width: | Height: | Size: 201 KiB After Width: | Height: | Size: 201 KiB |
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Before Width: | Height: | Size: 38 KiB After Width: | Height: | Size: 38 KiB |
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Before Width: | Height: | Size: 38 KiB After Width: | Height: | Size: 38 KiB |
BIN
public/imgs/wx300-2.jpg
Normal file
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After Width: | Height: | Size: 59 KiB |
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public/imgs/wxqun300.jpg
Normal file
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After Width: | Height: | Size: 30 KiB |
64
src/api/fetch.ts
Normal file
@@ -0,0 +1,64 @@
|
||||
import { GUIDE_PROMPT_HEADER, NEW_CHATID_HEADER, QUOTE_LEN_HEADER } from '@/constants/chat';
|
||||
|
||||
interface StreamFetchProps {
|
||||
url: string;
|
||||
data: any;
|
||||
onMessage: (text: string) => void;
|
||||
abortSignal: AbortController;
|
||||
}
|
||||
export const streamFetch = ({ url, data, onMessage, abortSignal }: StreamFetchProps) =>
|
||||
new Promise<{ responseText: string; newChatId: string; systemPrompt: string; quoteLen: number }>(
|
||||
async (resolve, reject) => {
|
||||
try {
|
||||
const res = await fetch(url, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json'
|
||||
},
|
||||
body: JSON.stringify(data),
|
||||
signal: abortSignal.signal
|
||||
});
|
||||
const reader = res.body?.getReader();
|
||||
if (!reader) return;
|
||||
|
||||
const decoder = new TextDecoder();
|
||||
|
||||
const newChatId = decodeURIComponent(res.headers.get(NEW_CHATID_HEADER) || '');
|
||||
const systemPrompt = decodeURIComponent(res.headers.get(GUIDE_PROMPT_HEADER) || '').trim();
|
||||
const quoteLen = res.headers.get(QUOTE_LEN_HEADER)
|
||||
? Number(res.headers.get(QUOTE_LEN_HEADER))
|
||||
: 0;
|
||||
|
||||
let responseText = '';
|
||||
|
||||
const read = async () => {
|
||||
try {
|
||||
const { done, value } = await reader?.read();
|
||||
if (done) {
|
||||
if (res.status === 200) {
|
||||
resolve({ responseText, newChatId, quoteLen, systemPrompt });
|
||||
} else {
|
||||
const parseError = JSON.parse(responseText);
|
||||
reject(parseError?.message || '请求异常');
|
||||
}
|
||||
|
||||
return;
|
||||
}
|
||||
const text = decoder.decode(value);
|
||||
responseText += text;
|
||||
onMessage(text);
|
||||
read();
|
||||
} catch (err: any) {
|
||||
if (err?.message === 'The user aborted a request.') {
|
||||
return resolve({ responseText, newChatId, quoteLen, systemPrompt: '' });
|
||||
}
|
||||
reject(typeof err === 'string' ? err : err?.message || '请求异常');
|
||||
}
|
||||
};
|
||||
read();
|
||||
} catch (err: any) {
|
||||
console.log(err, '====');
|
||||
reject(typeof err === 'string' ? err : err?.message || '请求异常');
|
||||
}
|
||||
}
|
||||
);
|
||||
@@ -7,12 +7,7 @@ import {
|
||||
Response as PushDateResponse
|
||||
} from '@/pages/api/openapi/kb/pushData';
|
||||
|
||||
export type KbUpdateParams = {
|
||||
id: string;
|
||||
name: string;
|
||||
tags: string;
|
||||
avatar: string;
|
||||
};
|
||||
export type KbUpdateParams = { id: string; name: string; tags: string; avatar: string };
|
||||
|
||||
/* knowledge base */
|
||||
export const getKbList = () => GET<KbItemType[]>(`/plugins/kb/list`);
|
||||