docs

联网功能

.dockerignore

@@ -8,3 +8,4 @@ README.md
 
 .yalc/
 yalc.lock
+testApi/

.env.template

@@ -1,8 +1,35 @@
-AXIOS_PROXY_HOST=127.0.0.1
+# proxy
-AXIOS_PROXY_PORT=33210
+# AXIOS_PROXY_HOST=127.0.0.1
-MONGODB_URI=
+# AXIOS_PROXY_PORT=7890
-MY_MAIL=
+# 是否开启队列任务。 1-开启，0-关闭（请求parentUrl去执行任务,单机时直接填1）
-MAILE_CODE=
+queueTask=1
-TOKEN_KEY=
+parentUrl=https://hostname/api/openapi/startEvents
-OPENAIKEY=
+# email
-REDIS_URL=
+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
+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

.github/workflows/release.yml

@@ -0,0 +1,50 @@
+name: Release
+
+on:
+  workflow_dispatch:
+
+  push:
+    branches:
+      - 'main'
+
+jobs:
+  release:
+    runs-on: ubuntu-20.04
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 1
+
+      - name: Install Dependencies
+        run: |
+          sudo apt update && sudo  apt install  -y nodejs npm
+      - # Add support for more platforms with QEMU (optional)
+        # https://github.com/docker/setup-qemu-action
+        name: Set up QEMU
+        uses: docker/setup-qemu-action@v2
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v2
+        with:
+          driver-opts: network=host
+
+      - name: Login to  gitbub
+        uses: docker/login-action@v2
+        with:
+          registry: ghcr.io
+          username: ${{ github.repository_owner }}
+          password: ${{ secrets.GH_PAT }}
+      - name: build and publish image
+        env:
+          # fork friendly ^^
+          DOCKER_REPO: ghcr.io/${{ github.repository_owner }}/fastgpt
+        run: |
+          docker buildx build \
+          --platform linux/amd64,linux/arm64 \
+          --label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/FastGPT" \
+          --label "org.opencontainers.image.description=fastgpt image" \
+          --label "org.opencontainers.image.licenses=MIT" \
+          --push \
+          -t ${DOCKER_REPO}:latest \
+          -f Dockerfile \
+          .

.gitignore

@@ -34,6 +34,6 @@ yarn-error.log*
 # typescript
 *.tsbuildinfo
 next-env.d.ts
-/public/trainData/
 /.vscode/
 platform.json
+testApi/

Dockerfile

@@ -52,15 +52,8 @@ COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static
 
 USER nextjs
 
+ENV PORT=3000
+
 EXPOSE 3000
 
-ENV PORT 3000
-ENV MAX_USER ''
-ENV AXIOS_PROXY_HOST ''
-ENV AXIOS_PROXY_PORT ''
-ENV MONGODB_URI ''
-ENV MY_MAIL ''
-ENV MAILE_CODE ''
-ENV TOKEN_KEY ''
-
 CMD ["node", "server.js"]

LICENSE

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

@@ -1,4 +1,4 @@
-SERVICE_NAME=fast-gpt
+SERVICE_NAME=fastgpt
 # Image URL to use all building/pushing image targets
 IMG ?= $(SERVICE_NAME):latest
 
@@ -34,13 +34,13 @@ run: ## Run a dev service from host.
 
 .PHONY: docker-build
 docker-build: ## Build docker image with the desktop-frontend.
-	docker build -t c121914yu/fast-gpt:latest .
+	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 fast-gpt -v /web_project/yjl/fast-gpt/logs:/app/.next/logs c121914yu/fast-gpt:latest
+	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
 

README.md

@@ -1,112 +1,46 @@
 # Fast GPT
 
-Fast GPT 允许你使用自己的 openai API KEY 来快速的调用 openai 接口，包括 GPT3 及其微调方法，以及最新的 gpt3.5 接口。
+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。
 
-## 初始化
+## 🛸 在线体验
-复制 .env.template 成 .env.local ，填写核心参数  
 
-```
+🎉 [fastgpt.run](https://fastgpt.run/) （国内版）  
-AXIOS_PROXY_HOST=axios代理地址，目前 openai 接口都需要走代理，本机的话就填 127.0.0.1
+🎉 [ai.fastgpt.run](https://ai.fastgpt.run/) （海外版）
-AXIOS_PROXY_PORT=代理端口
-MONGODB_URI=mongo数据库地址（例如：mongodb://username:password@ip:27017/?authSource=admin&readPreference=primary&appname=MongoDB%20Compass&directConnection=true&ssl=false）
-MY_MAIL=发送验证码邮箱
-MAILE_CODE=邮箱秘钥（代理里设置的是QQ邮箱，不知道怎么找这个 code 的，可以百度搜"nodemailer发送邮件"）
-TOKEN_KEY=随便填一个，用于生成和校验 token
-```
 
-```bash
+![Demo](docs/imgs/demo.png?raw=true 'demo')
-pnpm dev
-```
-Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
 
-## 部署
+#### 知识库原理图
 
-### docker 模式
+![KBProcess](docs/imgs/KBProcess.jpg?raw=true 'KBProcess')
-请准备好 docker， mongo，代理, 和nginx。 镜像走本机的代理，所以用 network=host，port 改成代理的端口，clash 一般都是 7890。
 
-#### docker 打包
+## 👨‍💻 开发
-```bash
-docker build -t imageName:tag .
-docker push imageName:tag
-```
 
-#### 服务器拉取镜像和运行
+项目技术栈: NextJs + TS + ChakraUI + Mongo + Postgres（Vector 插件）  
-```bash
+这是一个平台项目，非单机项目，除了模型调用外还涉及非常多用户的内容。  
-# 服务器拉取部署, imageName 替换成镜像名
+[本地开发 Quick Start](docs/dev/README.md)
-docker pull imageName:tag
-docker stop fast-gpt || true
-docker rm fast-gpt || true
-docker run -d --network=host --name fast-gpt \
-    -e AXIOS_PROXY_HOST=127.0.0.1 \
-    -e AXIOS_PROXY_PORT=7890 \
-    -e MY_MAIL=your email\
-    -e MAILE_CODE=your email code \
-    -e TOKEN_KEY=任意一个内容 \
-    -e MONGODB_URI="mongodb://user:password@127.0.0.0:27017/?authSource=admin&readPreference=primary&appname=MongoDB%20Compass&ssl=false" \
-    imageName:tag
-```
 
-#### 软件教程：docker 安装
+## 🚀 私有化部署
-```bash
-# 安装docker
-curl -sSL https://get.daocloud.io/docker | sh
-sudo systemctl start docker
-```
 
-#### 软件教程：mongo 安装
+- [docker-compose 部署教程](docs/deploy/docker.md)
-```bash
+- [由社区贡献的宝塔部署和本地运行教程](https://space.bilibili.com/431177525/channel/collectiondetail?sid=1370663)
-docker pull mongo:6.0.4
-docker stop mongo
-docker rm mongo
-docker run -d --name mongo \
-    -e MONGO_INITDB_ROOT_USERNAME= \
-    -e MONGO_INITDB_ROOT_PASSWORD= \
-    -v /root/service/mongo:/data/db \
-    mongo:6.0.4
 
-# 检查 mongo 运行情况, 有成功的 logs 代表访问成功
+## :point_right: RoadMap
-docker logs mongo
-```
-#### 软件教程: clash 代理
-```bash
-# 下载包
-curl https://glados.rocks/tools/clash-linux.zip -o clash.zip 
-# 解压
-unzip clash.zip
-# 下载终端配置⽂件（改成自己配置文件路径）
-curl https://update.glados-config.com/clash/98980/8f30944/70870/glados-terminal.yaml > config.yaml
-# 赋予运行权限
-chmod +x ./clash-linux-amd64-v1.10.0 
-# 记得配置端口变量：
-export ALL_PROXY=socks5://127.0.0.1:7891
-export http_proxy=http://127.0.0.1:7890
-export https_proxy=http://127.0.0.1:7890
-export HTTP_PROXY=http://127.0.0.1:7890
-export HTTPS_PROXY=http://127.0.0.1:7890
 
-# 运行脚本: 删除clash - 到 clash 目录 - 删除缓存 - 执行运行
+- [FastGpt RoadMap](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte)
-# 会生成一个 nohup.out 文件，可以看到 clash 的 logs
-OLD_PROCESS=$(pgrep clash)
-if [ ! -z "$OLD_PROCESS" ]; then
-  echo "Killing old process: $OLD_PROCESS"
-  kill $OLD_PROCESS
-fi
-sleep 2
-cd  **/clash
-rm -f ./nohup.out || true
-rm -f ./cache.db || true
-nohup ./clash-linux-amd64-v1.10.0  -d ./ &
-echo "Restart clash"
-```
 
-#### 软件教程：Nginx
+## 🏘️ 交流群
-...没写，这个百度吧。
 
-#### redis
+添加 wx 进入：  
+![Demo](https://otnvvf-imgs.oss.laf.run/wx300.jpg)
 
-```bash
+## 👀 其他
-# 索引
+
-# FT.CREATE idx:model:data ON JSON PREFIX 1 model:data: SCHEMA $.modelId AS modelId TAG $.dataId AS dataId TAG $.vector AS vector VECTOR FLAT 6 DIM 1536 DISTANCE_METRIC COSINE TYPE FLOAT32
+- [FastGpt 常见问题](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
-# FT.CREATE idx:model:data:hash ON HASH PREFIX 1 model:data: SCHEMA modelId TAG dataId TAG vector VECTOR FLAT 6 DIM 1536 DISTANCE_METRIC COSINE TYPE FLOAT32
+- [公众号接入](https://www.bilibili.com/video/BV1xh4y1t7fy/)
-FT.CREATE idx:model:data ON HASH PREFIX 1 model:data: SCHEMA modelId TAG userId TAG q TEXT text TEXT vector VECTOR FLAT 6 DIM 1536 DISTANCE_METRIC COSINE TYPE FLOAT32
+- [FastGpt + Laf 最佳实践，将知识库装入公众号，点击去 Laf 公众号体验效果](https://b4jky7-fastgpt.oss.laf.run/lafercode.png)
-```
+- [FastGpt V3.4 更新集合](https://www.bilibili.com/video/BV1Lo4y147Qh/?vd_source=92041a1a395f852f9d89158eaa3f61b4)
+- [FastGpt 知识库演示](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
+
+## 🌟 Star History
+
+[![Star History Chart](https://api.star-history.com/svg?repos=c121914yu/FastGPT&type=Date)](https://star-history.com/#c121914yu/FastGPT&Date)

docs/deploy/docker.md

@@ -0,0 +1,84 @@
+# Docker 部署 FastGpt
+
+## 代理环境（国外服务器可忽略）
+
+选择一个即可。这只是代理！！！不是项目。
+
+1. [sealos nginx 方案](./proxy/sealos.md) - 推荐。约等于不用钱，不需要额外准备任何东西。
+2. [clash 方案](./proxy/clash.md) - 仅需一台服务器（需要有 clash）
+3. [nginx 方案](./proxy/nginx.md) - 需要一台国外服务器
+4. [cloudflare 方案](./proxy/cloudflare.md) - 需要有域名（每日免费 10w 次代理请求）
+5. [腾讯云函数代理方案](https://github.com/easychen/openai-api-proxy/blob/master/FUNC.md) - 仅需一台服务器
+
+### 1. 准备一些内容
+
+> 1. 服务器开通 80 端口。用代理的话，对应的代理端口也需要打开。
+> 2. QQ 邮箱 Code：进入 QQ 邮箱 -> 账号 -> 申请 SMTP 账号
+> 3. 有域名的准备好 SSL 证书
+
+### 2. 安装 docker 和 docker-compose
+
+这个不同系统略有区别，百度安装下。验证安装成功后进行下一步。下面给出一个例子：
+
+```bash
+# 安装docker
+curl -L https://get.daocloud.io/docker | sh
+sudo systemctl start docker
+# 安装 docker-compose
+curl -L https://github.com/docker/compose/releases/download/1.23.2/docker-compose-`uname -s`-`uname -m` -o /usr/local/bin/docker-compose
+sudo chmod +x /usr/local/bin/docker-compose
+# 验证安装
+docker -v
+docker-compose -v
+# 如果docker-compose运行不了，可以把 deploy/fastgpt/docker-compose 文件复制到服务器，然后在 docker-compose 文件夹里执行 sh init.sh。会把docker-compose文件复制到对应目录。
+```
+
+### 2. 创建 3 个初始化文件
+
+fastgpt 文件夹。分别为：fastgpt/docker-compose.yaml, fastgpt/pg/init.sql, fastgpt/nginx/nginx.conf
+
+手动创建或者直接把 fastgpt 文件夹复制过去。
+
+### 3. 运行 docker-compose
+
+下面是一个辅助脚本，也可以直接 docker-compose up -d
+
+**run.sh 运行文件**
+
+```bash
+#!/bin/bash
+docker-compose pull
+docker-compose up -d
+
+echo "Docker Compose 重新拉取镜像完成！"
+
+# 删除本地旧镜像
+images=$(docker images --format "{{.ID}} {{.Repository}}" | grep fastgpt)
+
+# 将镜像 ID 和名称放入数组中
+IFS=$'\n' read -rd '' -a image_array <<<"$images"
+
+# 遍历数组并删除所有旧的镜像
+for ((i=1; i<${#image_array[@]}; i++))
+do
+    image=${image_array[$i]}
+    image_id=${image%% *}
+    docker rmi $image_id
+done
+```
+
+## 其他优化点
+
+# Git Action 自动打包镜像
+
+.github 里拥有一个 git 提交到 main 分支时自动打包 amd64 和 arm64 镜像的 actions。你仅需要提前在 git 配置好 session。
+
+1. 创建账号 session: 头像 -> settings -> 最底部 Developer settings -> Personal access tokens -> tokens(classic) -> 创建新 session，把一些看起来需要的权限勾上。
+2. 添加 session 到仓库: 仓库 -> settings -> Secrets and variables -> Actions -> 创建 secret
+3. 填写 secret: Name-GH_PAT, Secret-第一步的 tokens
+
+## 其他问题
+
+### Mac 可能的问题
+
+> 因为教程有部分镜像不兼容 arm64，所以写个文档指导新手如何快速在 mac 上面搭建 fast-gpt[在 mac 上面部署 fastgpt 可能存在的问题](./mac.md)

docs/deploy/fastgpt/clash/config.yaml

@@ -0,0 +1,22 @@
+mixed-port: 7890
+allow-lan: false
+bind-address: '*'
+mode: rule
+log-level: warning
+dns:  
+  enable: true  
+  ipv6: false  
+  nameserver:  
+    - 8.8.8.8
+    - 8.8.4.4 
+  cache-size: 400
+proxies:
+    
+proxy-groups:
+  - { name: '♻️ 自动选择', type: url-test,  proxies: [香港V02×1.5,ABC, 印度01, 台湾03, 新加坡02, 新加坡03, 日本01, 日本02, 新加坡01,  美国01, 美国02, 台湾01, 台湾02], url: 'https://api.openai.com', interval: 3600}
+rules:
+  - 'DOMAIN-SUFFIX,google.com,♻️ 自动选择'
+  - 'DOMAIN-SUFFIX,ai.fastgpt.run,♻️ 自动选择'
+  - 'DOMAIN-SUFFIX,openai.com,♻️ 自动选择'
+  - 'DOMAIN-SUFFIX,api.openai.com,♻️ 自动选择'
+  - 'MATCH,DIRECT'

docs/deploy/fastgpt/clash/proxy.sh

@@ -0,0 +1,18 @@
+export ALL_PROXY=socks5://127.0.0.1:7891
+export http_proxy=http://127.0.0.1:7890
+export https_proxy=http://127.0.0.1:7890
+export HTTP_PROXY=http://127.0.0.1:7890
+export HTTPS_PROXY=http://127.0.0.1:7890
+
+OLD_PROCESS=$(pgrep clash)
+if [ ! -z "$OLD_PROCESS" ]; then
+  echo "Killing old process: $OLD_PROCESS"
+  kill $OLD_PROCESS
+fi
+sleep 2
+
+cd  /root/fastgpt/clash/fast
+rm -f ./nohup.out || true
+rm -f ./cache.db || true
+nohup ./clash-linux-amd64-v3  -d ./ &
+echo "Restart clash fast"

docs/deploy/fastgpt/clash/stop.sh

@@ -0,0 +1,10 @@
+export ALL_PROXY=''
+export http_proxy=''
+export https_proxy=''
+export HTTP_PROXY=''
+export HTTPS_PROXY=''
+OLD_PROCESS=$(pgrep clash)
+if [ ! -z "$OLD_PROCESS" ]; then
+  echo "Killing old process: $OLD_PROCESS"
+  kill $OLD_PROCESS
+fi

docs/deploy/fastgpt/docker-compose.yml

@@ -0,0 +1,87 @@
+version: '3.3'
+services:
+  pg:
+    image: ankane/pgvector:v0.4.2
+    container_name: pg
+    restart: always
+    ports:
+      - 8100:5432
+    environment:
+      # 这里的配置只有首次运行生效。修改后，重启镜像是不会生效的。需要把持久化数据删除再重启，才有效果
+      - POSTGRES_USER=fastgpt
+      - POSTGRES_PASSWORD=1234
+      - POSTGRES_DB=fastgpt
+    volumes:
+      # 刚创建的文件
+      - /root/fastgpt/pg/init.sql:/docker-entrypoint-initdb.d/init.sh
+      - /root/fastgpt/pg/data:/var/lib/postgresql/data
+      - /etc/localtime:/etc/localtime:ro
+  mongodb:
+    image: mongo:6.0.4
+    container_name: mongo
+    restart: always
+    ports:
+      - 27017:27017
+    environment:
+      # 这里的配置只有首次运行生效。修改后，重启镜像是不会生效的。需要把持久化数据删除再重启，才有效果
+      - MONGO_INITDB_ROOT_USERNAME=username
+      - MONGO_INITDB_ROOT_PASSWORD=password
+    volumes:
+      - /root/fastgpt/mongo/data:/data/db
+      - /root/fastgpt/mongo/logs:/var/log/mongodb
+      - /etc/localtime:/etc/localtime:ro
+  fastgpt:
+    image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:latest
+    network_mode: host
+    restart: always
+    container_name: fastgpt
+    environment:
+      # proxy（可选）
+      - AXIOS_PROXY_HOST=127.0.0.1
+      - AXIOS_PROXY_PORT=7890
+      # 是否开启队列任务。 1-开启，0-关闭（请求 parentUrl 去执行任务,单机时直接填1）
+      - queueTask=1
+      - parentUrl=https://hostname/api/openapi/startEvents
+      # 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=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
+      - aliSignName=xxxxx
+      - aliTemplateCode=SMS_xxxx
+      # 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 # POSTGRES_USER
+      - PG_PASSWORD=1234 # POSTGRES_PASSWORD
+      - PG_DB_NAME=fastgpt # POSTGRES_DB
+      # openai
+      - OPENAIKEY=sk-xxxxx
+      - 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
+    restart: always
+    network_mode: host
+    volumes:
+      # 刚创建的文件
+      - /root/fastgpt/nginx/nginx.conf:/etc/nginx/nginx.conf:ro
+      - /root/fastgpt/nginx/logs:/var/log/nginx
+      # https证书，没有的话不填，对应的nginx.conf也要修改
+      - /root/fastgpt/nginx/ssl/docgpt.key:/ssl/docgpt.key
+      - /root/fastgpt/nginx/ssl/docgpt.pem:/ssl/docgpt.pem

docs/deploy/fastgpt/docker-compose/init.sh

@@ -0,0 +1,2 @@
+cp ./docker-compose /usr/local/bin/docker-compose
+sudo chmod +x /usr/local/bin/docker-compose

docs/deploy/fastgpt/nginx/nginx.conf

@@ -0,0 +1,69 @@
+user nginx;
+worker_processes auto;
+worker_rlimit_nofile 51200;
+
+events {
+    worker_connections 1024;
+}
+
+http {
+    resolver 8.8.8.8;
+    proxy_ssl_server_name on;
+
+    access_log off;
+    server_names_hash_bucket_size 512;
+    client_header_buffer_size 64k;
+    large_client_header_buffers 4 64k;
+    client_max_body_size 50M;
+
+    proxy_connect_timeout       240s;
+    proxy_read_timeout          240s;
+    proxy_buffer_size 128k;
+    proxy_buffers 4 256k;
+ 
+    gzip  on;
+    gzip_min_length   1k;
+    gzip_buffers  4 8k;
+    gzip_http_version 1.1;
+    gzip_comp_level 6;
+    gzip_vary on;
+    gzip_types  text/plain application/x-javascript text/css application/javascript application/json application/xml;
+    gzip_disable "MSIE [1-6]\.";
+
+    open_file_cache max=1000 inactive=1d;
+    open_file_cache_valid 30s;
+    open_file_cache_min_uses 8;
+    open_file_cache_errors off;
+
+    server {
+        listen 443 ssl;
+        server_name docgpt.ahapocket.cn;
+        ssl_certificate /ssl/docgpt.pem;
+        ssl_certificate_key /ssl/docgpt.key;
+        ssl_session_timeout 5m;
+
+        location / {
+            proxy_pass http://localhost:3000;
+            proxy_set_header Host $host;
+            proxy_set_header X-Real-IP $remote_addr;
+            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;        
+        }
+    }
+    server {
+        listen 80;
+        server_name docgpt.ahapocket.cn;
+        rewrite ^(.*) https://$server_name$1 permanent;
+    }
+
+    server {
+        listen 3000;
+        server_name 120.0.0.0;
+
+        location / {
+            proxy_pass http://localhost:3000;
+            proxy_set_header Host $host;
+            proxy_set_header X-Real-IP $remote_addr;
+            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;        
+        }
+    }
+}

docs/deploy/fastgpt/pg/init.sql

@@ -0,0 +1,21 @@
+set -e
+psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$POSTGRES_DB" <<-EOSQL
+
+CREATE EXTENSION vector;
+-- init table
+CREATE TABLE modelData (
+    id BIGSERIAL PRIMARY KEY,
+    vector VECTOR(1536),
+    status VARCHAR(50) NOT NULL,
+    user_id VARCHAR(50) NOT NULL,
+    model_id VARCHAR(50),
+    kb_id VARCHAR(50),
+    q TEXT NOT NULL,
+    a TEXT NOT NULL
+);
+-- create index
+CREATE INDEX modelData_status_index ON modelData USING HASH (status);
+CREATE INDEX modelData_userId_index ON modelData USING HASH (user_id);
+CREATE INDEX modelData_userId_index ON modelData USING HASH (model_id);
+CREATE INDEX modelData_kbId_index ON modelData USING HASH (kb_id);
+EOSQL

docs/deploy/fastgpt/run.sh

@@ -0,0 +1,19 @@
+#!/bin/bash
+docker-compose pull
+docker-compose up -d
+
+echo "Docker Compose 重新拉取镜像完成！"
+
+# 删除本地旧镜像
+images=$(docker images --format "{{.ID}} {{.Repository}}" | grep fastgpt)
+
+# 将镜像 ID 和名称放入数组中
+IFS=$'\n' read -rd '' -a image_array <<<"$images"
+
+# 遍历数组并删除所有旧的镜像
+for ((i=1; i<${#image_array[@]}; i++))
+do
+    image=${image_array[$i]}
+    image_id=${image%% *}
+    docker rmi $image_id
+done

docs/deploy/mac.md

@@ -0,0 +1,96 @@
+## Mac 上部署可能遇到的问题
+
+### 前置条件
+
+1、可以 curl api.openai.com
+
+2、有 openai key
+
+3、有邮箱 MAILE_CODE
+
+4、有 docker
+
+```
+docker -v
+```
+
+5、有 pnpm ，可以使用`brew install pnpm`安装
+
+6、需要创建一个放置 pg 和 mongo 数据的文件夹，这里创建在`~/fastgpt`目录中,里面有`pg` 和`mongo `两个文件夹
+
+```
+➜  fastgpt pwd
+/Users/jie/fastgpt
+➜  fastgpt ls
+mongo pg
+```
+
+### docker 部署方式
+
+这种方式主要是为了方便调试，可以使用`pnpm dev ` 运行 fastgpt 项目
+
+**1、.env.local 文件**
+
+```
+# proxy
+AXIOS_PROXY_HOST=127.0.0.1
+AXIOS_PROXY_PORT_FAST=7890
+AXIOS_PROXY_PORT_NORMAL=7890
+queueTask=1
+# email
+MY_MAIL= {Your Mail}
+MAILE_CODE={Yoir Mail code}
+# ali ems
+aliAccessKeyId=xxx
+aliAccessKeySecret=xxx
+aliSignName=xxx
+aliTemplateCode=SMS_xxx
+# token
+TOKEN_KEY=sswada
+# openai
+OPENAIKEY={Your openapi 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
+```
+
+**2、部署 mongo**
+
+```
+docker run --name mongo -p 27017:27017 -e MONGO_INITDB_ROOT_USERNAME=username -e MONGO_INITDB_ROOT_PASSWORD=password -v ~/fastgpt/mongo/data:/data/db -d mongo:4.0.1
+```
+
+**3、部署 pgsql**
+
+```
+docker run -it --name pg -e "POSTGRES_DB=fastgpt" -e "POSTGRES_PASSWORD=xxx" -e POSTGRES_USER=xxx -p 8100:5432 -v ~/fastgpt/pg/data:/var/lib/postgresql/data -d octoberlan/pgvector:v0.4.1
+```
+
+进 pgsql 容器运行
+
+```
+psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$POSTGRES_DB" <<-EOSQL
+
+CREATE EXTENSION vector;
+-- init table
+CREATE TABLE modelData (
+    id BIGSERIAL PRIMARY KEY,
+    vector VECTOR(1536),
+    status VARCHAR(50) NOT NULL,
+    user_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_modelId_index ON modelData (model_id);
+CREATE INDEX modelData_userId_index ON modelData (user_id);
+EOSQL
+```
+
+4、**最后在 FASTGPT 项目里面运行 pnpm dev 运行项目，然后进入 localhost:3000 看项目是否跑起来了**

docs/deploy/proxy/clash.md

@@ -0,0 +1,68 @@
+# 安装 clash 
+
+clash 会在本机启动代理。对应的，你需要配置项目的两个环境变量：
+
+```
+AXIOS_PROXY_HOST=127.0.0.1
+AXIOS_PROXY_PORT=7890
+```
+
+需要注的是，在你的 config.yaml 文件中，最好仅指定 api.openai.com 走代理，其他请求都直连。
+
+**安装clash**
+```bash
+# 下载包
+curl https://glados.rocks/tools/clash-linux.zip -o clash.zip 
+# 解压
+unzip clash.zip
+# 下载终端配置⽂件（改成自己配置文件路径）
+curl https://update.glados-config.com/clash/98980/8f30944/70870/glados-terminal.yaml > config.yaml
+# 赋予运行权限
+chmod +x ./clash-linux-amd64-v1.10.0 
+```
+
+**runClash.sh**
+```sh
+# 记得配置端口变量：
+export ALL_PROXY=socks5://127.0.0.1:7891
+export http_proxy=http://127.0.0.1:7890
+export https_proxy=http://127.0.0.1:7890
+export HTTP_PROXY=http://127.0.0.1:7890
+export HTTPS_PROXY=http://127.0.0.1:7890
+
+# 运行脚本: 删除clash - 到 clash 目录 - 删除缓存 - 执行运行. 会生成一个 nohup.out 文件，可以看到 clash 的 logs
+OLD_PROCESS=$(pgrep clash)
+if [ ! -z "$OLD_PROCESS" ]; then
+  echo "Killing old process: $OLD_PROCESS"
+  kill $OLD_PROCESS
+fi
+sleep 2
+cd  **/clash
+rm -f ./nohup.out || true
+rm -f ./cache.db || true
+nohup ./clash-linux-amd64-v1.10.0  -d ./ &
+echo "Restart clash"
+```
+
+**config.yaml配置例子**
+```yaml
+mixed-port: 7890
+allow-lan: false
+bind-address: '*'
+mode: rule
+log-level: warning
+dns:  
+  enable: true  
+  ipv6: false  
+  nameserver:  
+    - 8.8.8.8
+    - 8.8.4.4 
+  cache-size: 400
+proxies:
+    - 
+proxy-groups:
+  - { name: '♻️ 自动选择', type: url-test,  proxies: [香港V01×1.5], url: 'https://api.openai.com', interval: 3600}
+rules:
+  - 'DOMAIN-SUFFIX,api.openai.com,♻️ 自动选择'
+  - 'MATCH,DIRECT'
+```

docs/deploy/proxy/cloudflare.md

@@ -0,0 +1,46 @@
+# cloudflare 代理配置
+
+[来自 "不做了睡觉" 教程](https://gravel-twister-d32.notion.site/FastGPT-API-ba7bb261d5fd4fd9bbb2f0607dacdc9e)
+
+**workers 配置文件**
+
+```js
+const TELEGRAPH_URL = 'https://api.openai.com';
+
+addEventListener('fetch', (event) => {
+  event.respondWith(handleRequest(event.request));
+});
+
+async function handleRequest(request) {
+  // 安全校验
+  if (request.headers.get('auth') !== 'auth_code') {
+    return new Response('UnAuthorization', { status: 403 });
+  }
+
+  const url = new URL(request.url);
+  url.host = TELEGRAPH_URL.replace(/^https?:\/\//, '');
+
+  const modifiedRequest = new Request(url.toString(), {
+    headers: request.headers,
+    method: request.method,
+    body: request.body,
+    redirect: 'follow'
+  });
+
+  const response = await fetch(modifiedRequest);
+  const modifiedResponse = new Response(response.body, response);
+
+  // 添加允许跨域访问的响应头
+  modifiedResponse.headers.set('Access-Control-Allow-Origin', '*');
+
+  return modifiedResponse;
+}
+```
+
+**对应的环境变量**
+务必别忘了填 v1
+
+```
+OPENAI_BASE_URL=https://xxxxxx/v1
+OPENAI_BASE_URL_AUTH=auth_code
+```

docs/deploy/proxy/nginx.md

@@ -0,0 +1,73 @@
+# nginx 反向代理 openai 接口
+
+如果你有国外的服务器，可以通过配置 nginx 反向代理，转发 openai 相关的请求，从而让国内的服务器可以通过访问该 nginx 去访问 openai 接口。
+
+```conf
+user nginx;
+worker_processes auto;
+worker_rlimit_nofile 51200;
+
+events {
+    worker_connections 1024;
+}
+
+http {
+    resolver 8.8.8.8;
+    proxy_ssl_server_name on;
+
+    access_log off;
+    server_names_hash_bucket_size 512;
+    client_header_buffer_size 32k;
+    large_client_header_buffers 4 32k;
+    client_max_body_size 50M;
+
+    gzip  on;
+    gzip_min_length   1k;
+    gzip_buffers  4 8k;
+    gzip_http_version 1.1;
+    gzip_comp_level 6;
+    gzip_vary on;
+    gzip_types  text/plain application/x-javascript text/css application/javascript application/json application/xml;
+    gzip_disable "MSIE [1-6]\.";
+
+    open_file_cache max=1000 inactive=1d;
+    open_file_cache_valid 30s;
+    open_file_cache_min_uses 8;
+    open_file_cache_errors off;
+
+    server {
+        listen 443 ssl;
+        server_name your_host;
+        ssl_certificate /ssl/your_host.pem;
+        ssl_certificate_key /ssl/your_host.key;
+        ssl_session_timeout 5m;
+
+        location ~ /openai/(.*) {
+            # auth check
+            if ($auth != "xxxxxx") {
+                return 403;
+            }
+
+            proxy_pass https://api.openai.com/$1$is_args$args;
+            proxy_set_header Host api.openai.com;
+            proxy_set_header X-Real-IP $remote_addr;
+            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+            # 流式响应
+            proxy_set_header Connection '';
+            proxy_http_version 1.1;
+            chunked_transfer_encoding off;
+            proxy_buffering off;
+            proxy_cache off;
+            # 一般响应
+            proxy_buffer_size 128k;
+            proxy_buffers 4 256k;
+            proxy_busy_buffers_size 256k;
+        }
+    }
+    server {
+        listen 80;
+        server_name ai.fastgpt.run;
+        rewrite ^(.*) https://$server_name$1 permanent;
+    }
+}
+```

docs/deploy/proxy/sealos.md

@@ -0,0 +1,100 @@
+# sealos 部署 openai 中转
+
+## 登录 sealos cloud
+
+[sealos cloud](https://cloud.sealos.io/)
+
+## 创建应用
+
+打开 App Launchpad -> 新建应用
+
+![step1](./imgs//sealos1.png)  
+![step2](./imgs//sealos2.png)
+
+### 开启外网访问
+
+![step3](./imgs//sealos3.png)
+
+### 添加 configmap 文件
+
+1. 复制下面这段代码，注意 `server_name` 后面的内容替换成上图的地址。
+
+```
+user nginx;
+worker_processes auto;
+worker_rlimit_nofile 51200;
+
+events {
+    worker_connections 1024;
+}
+
+http {
+    resolver 8.8.8.8;
+    proxy_ssl_server_name on;
+
+    access_log off;
+    server_names_hash_bucket_size 512;
+    client_header_buffer_size 64k;
+    large_client_header_buffers 4 64k;
+    client_max_body_size 50M;
+
+    proxy_connect_timeout       240s;
+    proxy_read_timeout          240s;
+    proxy_buffer_size 128k;
+    proxy_buffers 4 256k;
+
+
+    server {
+        listen 80;
+        server_name tgohwtdlrmer.cloud.sealos.io; # 这个地方替换成 sealos 提供的内容
+
+        location ~ /openai/(.*) {
+            # auth check
+            if ($http_auth != "auth") { # 安全凭证
+                return 403;
+            }
+
+            proxy_pass https://api.openai.com/$1$is_args$args;
+            proxy_set_header Host api.openai.com;
+            proxy_set_header X-Real-IP $remote_addr;
+            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+            # 如果响应是流式的
+            proxy_set_header Connection '';
+            proxy_http_version 1.1;
+            chunked_transfer_encoding off;
+            proxy_buffering off;
+            proxy_cache off;
+            # 如果响应是一般的
+            proxy_buffer_size 128k;
+            proxy_buffers 4 256k;
+            proxy_busy_buffers_size 256k;
+        }
+    }
+}
+```
+
+2. 点开高级配置
+3. 点击新增 configmap
+4. 文件名写: `/etc/nginx/nginx.conf`
+5. 文件值为刚刚复制的那段代码
+6. 点击确认
+
+![step4](./imgs//sealos4.png)
+
+### 部署应用
+
+填写完毕后，点击右上角的 `部署应用`，即可完成。
+
+## 修改 FastGpt 环境变量
+
+1. 进入刚刚部署应用的详情，复制外网地址
+   ![step5](./imgs//sealos5.png)
+
+2. 修改环境变量（是 FastGpt 的环境变量，不是 sealos 的）:
+
+```
+OPENAI_BASE_URL=https://tgohwtdlrmer.cloud.sealos.io/openai/v1
+OPENAI_BASE_URL_AUTH=auth
+```
+
+**Done!**

docs/dev/README.md

@@ -0,0 +1,51 @@
+# FastGpt 本地开发
+
+第一次开发，请先[部署教程](../deploy/docker.md)，需要部署数据库.
+
+## 环境变量配置
+
+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
+# 是否开启队列任务。 1-开启，0-关闭（请求parentUrl去执行任务,单机时直接填1）
+queueTask=1
+parentUrl=https://hostname/api/openapi/startEvents
+# email
+MY_MAIL=xxx@qq.com
+MAILE_CODE=xxx
+# ali ems
+aliAccessKeyId=xxx
+aliAccessKeySecret=xxx
+aliSignName=xxx
+aliTemplateCode=SMS_xxx
+# token
+TOKEN_KEY=xxx
+# 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
+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
+```

next.config.js

@@ -1,13 +1,15 @@
 /** @type {import('next').NextConfig} */
 
-const path = require('path');
-const isDev = process.env.NODE_ENV === 'development';
-
 const nextConfig = {
   output: 'standalone',
   reactStrictMode: false,
   compress: true,
+
   webpack(config) {
+    config.experiments = {
+      asyncWebAssembly: true,
+      layers: true
+    };
     config.module.rules = config.module.rules.concat([
       {
         test: /\.svg$/i,

package.json

@@ -1,6 +1,6 @@
 {
   "name": "fastgpt",
-  "version": "0.1.0",
+  "version": "3.7",
   "private": true,
   "scripts": {
     "dev": "next dev",
@@ -11,20 +11,26 @@
     "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",
-    "gpt-token-utils": "^1.2.0",
+    "graphemer": "^1.4.0",
     "hyperdown": "^2.4.29",
     "immer": "^9.0.19",
     "jsonwebtoken": "^9.0.0",
@@ -33,9 +39,12 @@
     "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",
@@ -48,20 +57,23 @@
     "sass": "^1.58.3",
     "sharp": "^0.31.3",
     "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/tunnel": "^0.0.3",
-    "@types/uuid": "^9.0.1",
     "eslint": "8.34.0",
     "eslint-config-next": "13.1.6",
     "husky": "^8.0.3",
@@ -71,5 +83,8 @@
   },
   "lint-staged": {
     "./src/**/*.{ts,tsx,scss}": "npm run format"
+  },
+  "engines": {
+    "node": ">=18.0.0"
   }
 }

public/TrainingTemplate.jsonl

@@ -1,15 +0,0 @@
-{"prompt":"什么是百度plato？</s>","completion":" 百度PLATO是一种聊天机器人，发布于2021年10月，参数量为百亿，是GPT-3的1/17。</s>"}
-{"prompt":"与百度plato相比，chatgpt有哪些优点？</s>","completion":" 与百度PLATO相比，ChatGPT体现出耐心、体贴和妥当，被网友们普遍称赞。ChatGPT可以用于个性化聊天机器人，例如生成一个很相似的数字人，提供一位温柔健谈的朋友，指导语言学习等。</s>"}
-{"prompt":"replika是什么？</s>","completion":" Replika是一个产品，使用ChatGPT的技术，可以根据自己的需求生成一个虚拟女友、男友或单纯的朋友。目前还引起了不少有关性骚扰、家暴、隐私等问题的争议。</s>"}
-{"prompt":"聊天机器人可以用于哪些场景？</s>","completion":" 聊天机器人可以用于很多陪伴的场景，例如亲人去世、抑郁症或自闭症患者、语言学习、小朋友、养老院或独居在家的老人等。</s>"}
-{"prompt":"有人反对使用聊天机器人解决孤独困境，为什么？</s>","completion":" 有人反对使用聊天机器人解决孤独困境，认为孤独困境应该用人与人真正的交往解决，机器是冰冷的。</s>"}
-{"prompt":"为什么聊天机器人仍然需要解决当下的需求？</s>","completion":" 在社会结构性的困局还没有解开时，长夜漫漫的独身打工人、养老院里卧床的老人、父母在外留守在家的儿童，当下的需求仍需要解决。</s>"}
-{"prompt":"ai在未来会被戴上什么样的帽子？</s>","completion":" AI在未来各个场景下都会被戴上一个很虚无的帽子：“机器是冰冷的”、“没有灵魂”、“它并不是真正在思考”。</s>"}
-{"prompt":"怎么回答“ai是否真正思考”的问题？</s>","completion":" 引用乔姆斯基老爷子的那句名言：“思考是人类特性。AI有天会思考吗？那就像是在问潜水艇会不会游泳一样。”</s>"}
-{"prompt":"聊天机器人与人类完成任务的方式有何不同？</s>","completion":" 聊天机器人与人类完成任务的方式不同，但并不重要。它们能跟人一样完成任务，这是最重要的。</s>"}
-{"prompt":"聊天机器人的发展前景如何？</s>","completion":" 聊天机器人的发展前景广阔，可以应用于很多领域，例如客服、教育、医疗等。</s>"}
-{"prompt":"什么是百度plato？</s>","completion":" 百度PLATO是一种聊天机器人，发布于2021年10月，参数量为百亿，是GPT-3的1/17。</s>"}
-{"prompt":"与百度plato相比，chatgpt有哪些优点？</s>","completion":" 与百度PLATO相比，ChatGPT体现出耐心、体贴和妥当，被网友们普遍称赞。ChatGPT还可以用于很多陪伴的场景，如亲人去世、抑郁症或自闭症患者、语言学习、小朋友、养老院或独居在家的老人等。</s>"}
-{"prompt":"replika是什么产品？</s>","completion":" Replika是一个产品，用的是ChatGPT的技术。用户可以根据自己的需求生成一个虚拟女友、男友或单纯的朋友。目前还引起了不少有关性骚扰、家暴、隐私等问题的争议。</s>"}
-{"prompt":"聊天机器人能够解决哪些现实问题？</s>","completion":" 聊天机器人能够解决现代人面临的孤独困境，如长夜漫漫的独身打工人、养老院里卧床的老人、父母在外留守在家的儿童等。</s>"}
-{"prompt":"有人反对使用聊天机器人解决孤独困境，为什么？</s>","completion":" 有人反对使用聊天机器人解决孤独困境，认为孤独困境应该用人与人真正的交往解决，机器是冰冷的。</s>"}

public/docs/chatProblem.md

@@ -0,0 +1,27 @@
+### 常见问题
+
+**Git 地址**
+[项目地址，完全开源，随便用。](https://github.com/c121914yu/FastGPT)
+
+**问题文档**
+[先看文档，再提问](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
+
+**删除和复制**
+电脑端：聊天内容右侧有复制和删除的图标。
+移动端：点击对话头像，可以选择复制或删除该条内容。
+
+**价格表**
+如果使用了自己的 Api Key，不会计费。可以在账号页，看到详细账单。
+| 计费项 | 价格: 元/ 1K tokens（包含上下文）|
+| --- | --- |
+| claude - 对话 | 免费 |
+| 知识库 - 索引 | 免费 |
+| chatgpt - 对话 | 0.025 |
+| gpt4 - 对话 | 0.5 |
+| 文件拆分 | 0.025 |
+
+**其他问题**
+请 WX 联系: fastgpt123
+| 交流群 | 小助手 |
+| ----------------------- | -------------------- |
+| ![](https://otnvvf-imgs.oss.laf.run/wxqun300.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) |

public/docs/csvSelect.md

@@ -0,0 +1,9 @@
+接受一个 csv 文件，表格头包含 question 和 answer。question 代表问题，answer 代表答案。
+导入前会进行去重，如果问题和答案完全相同，则不会被导入，所以最终导入的内容可能会比文件的内容少。但是，对于带有换行的内容，目前无法去重。
+
+### 请保证 csv 文件为 utf-8 编码
+
+| question      | answer                                                 |
+| ------------- | ------------------------------------------------------ |
+| 什么是 laf    | laf 是一个云函数开发平台……                             |
+| 什么是 sealos | Sealos 是以 kubernetes 为内核的云操作系统发行版,可以…… |

public/docs/intro.md

@@ -0,0 +1,34 @@
+## 欢迎使用 Fast GPT
+
+### 项目开源
+
+FastGpt 项目完全开源，可随意私有化部署，去除平台风险忧虑。项目地址：[Git 仓库](https://github.com/c121914yu/FastGPT)
+
+### 开始使用知识库
+
+1. AI 助手详情里，有一个模型效果。打开知识库搜索开关即可使用知识库搜索功能。
+2. 导入知识库数据。可以手动输入或文件导入。
+3. 开始对话。
+4. 对话结束后，会看到聊天下方有一个“查看提示词”,可以看到搜索到了哪些内容。
+
+注意：使用知识库模型对话时，tokens 消耗会加快。
+
+### 价格表
+
+如果使用了自己的 Api Key，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）|
+| --- | --- |
+| claude - 对话 | 免费 |
+| 知识库 - 索引 | 免费 |
+| chatgpt - 对话 | 0.025 |
+| gpt4 - 对话 | 0.5 |
+| 文件拆分 | 0.025 |
+
+### 交流群/问题反馈
+
+如果群满了，可加个小助手，定时拉
+wx 号: fastgpt123
+
+| 交流群                                            | 小助手                                         |
+| ------------------------------------------------- | ---------------------------------------------- |
+| ![](https://otnvvf-imgs.oss.laf.run/wxqun300.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) |

public/docs/shareHint.md

@@ -0,0 +1,3 @@
+你正准备分享对话，请确保分享链接不会滥用，因为它是使用的是你的 API key。  
+* 分享空白对话：为该模型创建一个空白的聊天分享出去。  
+* 分享当前对话：会把当前聊天的内容也分享出去，但是要注意不要多个人同时用一个聊天内容。

public/docs/versionIntro.md

@@ -0,0 +1,4 @@
+### Fast GPT V3.8
+
+- 新增 - 知识库引用反馈。
+- 新增 - 知识库与 AI 助手对多对关系，一个知识库可以被多个 AI 助手关联，一个 AI 助手可以关联多个知识库。

public/icon/chatting.svg

@@ -1,19 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" style="margin: auto; background: none; display: block; shape-rendering: auto;" width="204px" height="204px" viewBox="0 0 100 100" preserveAspectRatio="xMidYMid">
-<circle cx="84" cy="50" r="10" fill="#e15b64">
-    <animate attributeName="r" repeatCount="indefinite" dur="0.5681818181818182s" calcMode="spline" keyTimes="0;1" values="15;0" keySplines="0 0.5 0.5 1" begin="0s"></animate>
-    <animate attributeName="fill" repeatCount="indefinite" dur="2.272727272727273s" calcMode="discrete" keyTimes="0;0.25;0.5;0.75;1" values="#e15b64;#abbd81;#f8b26a;#f47e60;#e15b64" begin="0s"></animate>
-</circle><circle cx="16" cy="50" r="10" fill="#e15b64">
-  <animate attributeName="r" repeatCount="indefinite" dur="2.272727272727273s" calcMode="spline" keyTimes="0;0.25;0.5;0.75;1" values="0;0;15;15;15" keySplines="0 0.5 0.5 1;0 0.5 0.5 1;0 0.5 0.5 1;0 0.5 0.5 1" begin="0s"></animate>
-  <animate attributeName="cx" repeatCount="indefinite" dur="2.272727272727273s" calcMode="spline" keyTimes="0;0.25;0.5;0.75;1" values="16;16;16;50;84" keySplines="0 0.5 0.5 1;0 0.5 0.5 1;0 0.5 0.5 1;0 0.5 0.5 1" begin="0s"></animate>
-</circle><circle cx="50" cy="50" r="10" fill="#f47e60">
-  <animate attributeName="r" repeatCount="indefinite" dur="2.272727272727273s" calcMode="spline" keyTimes="0;0.25;0.5;0.75;1" values="0;0;15;15;15" keySplines="0 0.5 0.5 1;0 0.5 0.5 1;0 0.5 0.5 1;0 0.5 0.5 1" begin="-0.5681818181818182s"></animate>
-  <animate attributeName="cx" repeatCount="indefinite" dur="2.272727272727273s" calcMode="spline" keyTimes="0;0.25;0.5;0.75;1" values="16;16;16;50;84" keySplines="0 0.5 0.5 1;0 0.5 0.5 1;0 0.5 0.5 1;0 0.5 0.5 1" begin="-0.5681818181818182s"></animate>
-</circle><circle cx="84" cy="50" r="10" fill="#f8b26a">
-  <animate attributeName="r" repeatCount="indefinite" dur="2.272727272727273s" calcMode="spline" keyTimes="0;0.25;0.5;0.75;1" values="0;0;15;15;15" keySplines="0 0.5 0.5 1;0 0.5 0.5 1;0 0.5 0.5 1;0 0.5 0.5 1" begin="-1.1363636363636365s"></animate>
-  <animate attributeName="cx" repeatCount="indefinite" dur="2.272727272727273s" calcMode="spline" keyTimes="0;0.25;0.5;0.75;1" values="16;16;16;50;84" keySplines="0 0.5 0.5 1;0 0.5 0.5 1;0 0.5 0.5 1;0 0.5 0.5 1" begin="-1.1363636363636365s"></animate>
-</circle><circle cx="16" cy="50" r="10" fill="#abbd81">
-  <animate attributeName="r" repeatCount="indefinite" dur="2.272727272727273s" calcMode="spline" keyTimes="0;0.25;0.5;0.75;1" values="0;0;15;15;15" keySplines="0 0.5 0.5 1;0 0.5 0.5 1;0 0.5 0.5 1;0 0.5 0.5 1" begin="-1.7045454545454546s"></animate>
-  <animate attributeName="cx" repeatCount="indefinite" dur="2.272727272727273s" calcMode="spline" keyTimes="0;0.25;0.5;0.75;1" values="16;16;16;50;84" keySplines="0 0.5 0.5 1;0 0.5 0.5 1;0 0.5 0.5 1;0 0.5 0.5 1" begin="-1.7045454545454546s"></animate>
-</circle>
-<!-- [ldio] generated by https://loading.io/ --></svg>

public/js/pdf.js

@@ -406,12 +406,12 @@ function getVerbosityLevel() {
 }
 function info(msg) {
   if (verbosity >= VerbosityLevel.INFOS) {
-    console.log(`Info: ${msg}`);
+    // console.log(`Info: ${msg}`);
   }
 }
 function warn(msg) {
   if (verbosity >= VerbosityLevel.WARNINGS) {
-    console.log(`Warning: ${msg}`);
+    // console.log(`Warning: ${msg}`);
   }
 }
 function unreachable(msg) {
@@ -4206,7 +4206,7 @@ function loadScript(src, removeScriptElement = false) {
   });
 }
 function deprecated(details) {
-  console.log("Deprecated API usage: " + details);
+  // console.log("Deprecated API usage: " + details);
 }
 let pdfDateStringRegex;
 class PDFDateString {

public/js/pdf.worker.js

@@ -1008,12 +1008,12 @@ function getVerbosityLevel() {
 }
 function info(msg) {
   if (verbosity >= VerbosityLevel.INFOS) {
-    console.log(`Info: ${msg}`);
+    // console.log(`Info: ${msg}`);
   }
 }
 function warn(msg) {
   if (verbosity >= VerbosityLevel.WARNINGS) {
-    console.log(`Warning: ${msg}`);
+    // console.log(`Warning: ${msg}`);
   }
 }
 function unreachable(msg) {

public/trainData/4d89aa7a10c65cf0e3cec4300.jsonl

@@ -1,21 +0,0 @@
-{"prompt": "什么是高潜公司\n\n###\n\n", "completion": " 高潜公司是指高潜力的公司，其所处的赛道有发展潜力和前景。###"}
-{"prompt": "高潜公司的优势是什么\n\n###\n\n", "completion": " 高潜公司所处的整个行业和赛道有一定的增量空间，头部vc通过严格的筛选和加持为高潜公司背书，高潜公司的创始者一般都特别优秀。加入高潜公司可以获得很多机会来锻炼自己、强化自己的认知，快速成长、展现自己，并有可能成为公司扩张后的管理层###"}
-{"prompt": "高潜公司的风险是什么\n\n###\n\n", "completion": " 高潜公司的高风险问题也很明显。一旦公司失败，很多边缘人就会被淘汰掉。但宏观来讲，只要赛道是有潜力的，即便这家公司失败了，也可以跳槽到成功的公司去。###"}
-{"prompt": "高潜公司的例子有哪些\n\n###\n\n", "completion": " 很多高潜公司在做最近比较火的AIGC，包括去年的元宇宙，前两年比较火的新消费、企业服务和出海之类的。###"}
-{"prompt": "为什么现在加入大厂的前景不广阔？\n\n###\n\n", "completion": " 今年的大形势之下，互联网大厂纷纷开始裁员、取消普调、晋升比例严重缩水，HC也急剧减少。###"}
-{"prompt": "加入高潜公司可以获得什么样的机会？\n\n###\n\n", "completion": " 加入高潜公司可以获得很多机会来锻炼自己、强化自己的认知，快速成长、展现自己，并有可能成为公司扩张后的管理层。###"}
-{"prompt": "什么是高潜公司？\n\n###\n\n", "completion": " 高潜公司的定义是“高潜力的公司”，所处的行业和赛道有发展潜力和前景，头部vc为其背书，创始者一般都特别优秀。###"}
-{"prompt": "加入高潜公司有哪些优点\n\n###\n\n", "completion": " 加入高潜公司能够获得锻炼自己、强化认知的机会，快速成长、展现自己，在公司扩张后成为团队的管理层。同时，所处的行业还处于上升期，发展前景广阔。###"}
-{"prompt": "高潜公司存在哪些风险？\n\n###\n\n", "completion": " 高潜公司存在高风险问题，一旦公司失败，很多边缘人就会被淘汰掉。但宏观来讲，只要赛道是有潜力的，即便这家公司失败了，也可以跳槽到成功的公司去。###"}
-{"prompt": "高潜公司和互联网有什么相似之处？\n\n###\n\n", "completion": " 目前来说，高潜公司的风格大部分都比较像互联网大厂，有风格，但又没有那么内卷，因为大家每天都在开拓边疆，突破和探索市场的边界。同时，互联网产业的蓬勃发展也给其他行业，包括新能源汽车、新消费等，带来了用户增长和运营的经验###"}
-{"prompt": "互联网大厂的制度和分工如何？\n\n###\n\n", "completion": " 目前的互联网大厂的制度和分工非常明确，基本是按照一些标准SOP做事。同时，由于已经没有用户增量了，内卷和向上管理的问题也比较严重。###"}
-{"prompt": "高潜公司对于哪些毕业生是很好的选择\n\n###\n\n", "completion": " 对于追求长期创造价值而非想找份安稳的工作的毕业生来说，高潜公司是很好的选择。###"}
-{"prompt": "互联网大厂的晋升方式有哪些？\n\n###\n\n", "completion": " 互联网大厂的晋升方式有两种：老板特别喜欢你或者你的战功支撑你的竞争###"}
-{"prompt": "为什么目前更多优秀的人都会加入创业公司？\n\n###\n\n", "completion": " 目前社会的大趋势是更多优秀的人都会加入创业公司，因为真正在创造价值的其实永远是创业公司###"}
-{"prompt": "为什么选择高潜公司主要是因为我们迎来了什么三个繁荣？\n\n###\n\n", "completion": " 选择高潜公司主要是因为我们迎来了创新生态的三个繁荣：人才繁荣、资本繁荣和环境繁荣###"}
-{"prompt": "资本繁荣是如何推动创业生态的崛起的？\n\n###\n\n", "completion": " 资本繁荣，无论中国还是美国，创业生态的崛起都是伴随着移动互联网的发展。中国这一代VC的崛起，主要是通过投资移动互联网项目所积累的战绩扩大了资金池，通过这些成本低、增长快、回报率高的项目，才有了底气去推动更多行业发展，尝试着投资toB和硬科技这类成本高、增长慢、回报率低、风险大的项目。###"}
-{"prompt": "环境繁荣是指什么？\n\n###\n\n", "completion": " 环境繁荣是指互联网带动起经济发展后，各地政府也开始了对于创业进行培育，免费场地、巨额无偿补贴、各地送钱竞赛，大幅度降低了创业成本。###"}
-{"prompt": "高潜公司对于追求长期创造价值的毕业生来说为什么是好的选择？\n\n###\n\n", "completion": " 因为在高潜公司，毕业生可以通过参与创业公司的发展，获得更多的机会和成长空间，而不是被固定在某个职位上。此外，高潜公司通常会注重团队建设和文化建设，能够提供更好的工作环境和发展机会。###"}
-{"prompt": "如果想要寻找高潜公司，有哪些渠道可以利用？\n\n###\n\n", "completion": " 可以利用领英职场app和知潜微信小程序。领英职场app中入驻了很多高潜公司及高管，而知潜小程序现在也已经有100+高潜力创业公司入驻，都是经过筛选的、top VC投资过且赛道有前景的公司。此外，红杉和真格等VC机构自己的公众号也会经常披露投资的企业。###"}
-{"prompt": "为什么现在更多优秀的人才会加入创业公司？\n\n###\n\n", "completion": " 因为在当前社会的大趋势下，创业公司成为了创新生态的重要组成部分。创业公司在创造价值和推动行业发展方面具有更大的空间和潜力，而且随着移动互联网的发展，创业公司的崛起也得到了资本和政策的支持。因此，更多优秀的人才选择加入创业公司，以实现自己的创业梦想和获得更好的发展机会。###"}
-{"prompt": "高潜公司的优势在哪些方面？\n\n###\n\n", "completion": " 高潜公司在团队建设、文化建设和发展机会等方面具有优势。高潜公司通常会注重团队建设和文化建设，能够提供更好的工作环境和发展机会。同时，高潜公司的发展潜力和创新能力也很强，可以为毕业生提供更多的机会和成长空间。###"}

public/trainData/d95c4a3c319667d5f24955602.jsonl

@@ -1,21 +0,0 @@
-{"prompt":"什么是死锁？如何避免死锁？\n\n###\n\n","completion":" 死锁是指两个或多个进程在执行过程中，由于互相等待对方释放资源而造成的一种僵局。避免死锁的常用方法包括：破坏互斥条件、破坏请求和保持条件、破坏不剥夺条件、破坏循环等待条件。###"}
-{"prompt":"什么是虚拟内存？\n\n###\n\n","completion":" 虚拟内存是指一种计算机内存管理技术，它使得操作系统可以将进程所使用的虚拟地址空间映射到物理内存中，从而可以让多个进程共享物理内存。当物理内存不足时，操作系统会将一部分不常用的内存页面暂时存储到硬盘上，这样就可以释放出更多的物理内存供其他进程使用。###"}
-{"prompt":"什么是分页和分段？有什么区别？\n\n###\n\n","completion":" 分页和分段是虚拟内存管理中常用的两种技术。分页是将虚拟地址空间划分为固定大小的页面，而分段则是将虚拟地址空间划分为不同大小的段。区别在于，分页的页面大小是固定的，而分段的段大小是可变的；另外，分页是为了实现虚拟内存，而分段则是为了实现逻辑地址空间的管理。###"}
-{"prompt":"什么是lru算法？\n\n###\n\n","completion":" lru算法是一种页面置换算法，它的全称是least recently used，即最近最少使用算法。lru算法的基本思想是在物理内存中维护一个页面访问历史记录，当需要替换一页时，选择最近最少被访问的页面进行替换。###"}
-{"prompt":"什么是文件系统？\n\n###\n\n","completion":" 文件系统是一种用于管理计算机存储设备上文件和目录的组织方式。文件系统通常包括存储管理、目录管理、文件访问控制、文件系统维护等功能。常见的文件系统包括fat、ntfs、ext等。###"}
-{"prompt":"什么是并发和并行？\n\n###\n\n","completion":" 并发是指多个任务交替执行的情况，而并行是指多个任务同时执行的情况。并发的实现方式是通过时间分片技术，而并行的实现方式是通过多核处理器等硬件设备。###"}
-{"prompt":"什么是系统调用？\n\n###\n\n","completion":" 系统调用是操作系统中的一种机制，它允许用户空间程序请求操作系统内核提供一些服务，如读写文件、创建进程等。系统调用通常是通过软中断实现的###"}
-{"prompt":"什么是进程间通信？\n\n###\n\n","completion":" 进程间通信是指不同进程之间进行数据交换和通信的机制，常见的方式有管道、共享内存、消息队列、信号量等。###"}
-{"prompt":"什么是文件描述符？\n\n###\n\n","completion":" 文件描述符是一个非负整数，它是操作系统内核为了管理打开的文件而维护的一种抽象概念。应用程序使用文件描述符来访问文件或其他i\/o设备###"}
-{"prompt":"什么是中断？ \n\n###\n\n","completion":" 中断是指计算机硬件或软件在执行程序时，暂停当前程序的执行，转而去执行另一个程序或处理器所需的其他任务的过程。中断可以是外部中断、内部中断或软中断。###"}
-{"prompt":"什么是页表？\n\n###\n\n","completion":" 页表是一种数据结构，它用于将虚拟地址转换为物理地址。在虚拟内存中，每个进程都有自己的页表，它描述了虚拟地址空间中每个页面对应的物理地址。 ###"}
-{"prompt":"什么是僵尸进程？\n\n###\n\n","completion":" 僵尸进程是指一个已经完成执行但其父进程还没有对其进行善后处理的进程，它会一直占用系统资源，直到其父进程将其处理为止。###"}
-{"prompt":"什么是守护进程？ \n\n###\n\n","completion":" 守护进程是一种在后台运行的特殊进程，它通常用于提供某种服务或执行某种系统任务。守护进程通常不与任何用户界面交互，也不会终止，直到操作系统关机或重启。###"}
-{"prompt":"计算机操作系统是什么？\n\n###\n\n","completion":" 计算机操作系统是一种控制计算机硬件和协调应用程序运行的系统软件。###"}
-{"prompt":"什么是进程？\n\n###\n\n","completion":" 进程是一个正在执行中的程序实例，它包括了程序计数器、堆栈、数据区等信息。###"}
-{"prompt":"什么是线程？\n\n###\n\n","completion":" 线程是操作系统能够进行运算调度的最小单位，它是进程的一个执行流程，共享进程的地址空间。###"}
-{"prompt":"什么是虚拟内存？\n\n###\n\n","completion":" 虚拟内存是一种计算机系统内存管理技术，它使得应用程序认为它拥有连续的可用的内存，而实际上它通常是被分成多个物理内存碎片。###"}
-{"prompt":"什么是死锁？\n\n###\n\n","completion":" 死锁是指两个或多个进程在执行过程中，因争夺资源而造成的一种互相等待的现象，导致所有进程都无法继续执行。###"}
-{"prompt":"什么是缓存？\n\n###\n\n","completion":" 缓存是指在计算机中暂存数据的高速存储器，它可以提高计算机对数据的访问速度，避免频繁地访问较慢的主存储器。###"}
-{"prompt":"什么是文件系统？\n\n###\n\n","completion":" 文件系统是计算机中用来管理和组织文件的一种机制，它通过一系列的数据结构来描述文件和目录的组织方式，以及文件如何存储和访问。###"}
-{"prompt":"什么是调度算法？\n\n###\n\n","completion":" 调度算法是指操作系统中用来决定进程或线程在cpu上执行顺序的一种算法，它的目标是最大化系统吞吐量、最小化响应时间或最大化资源利用率等。###"}

src/api/chat.ts

@@ -1,45 +1,72 @@
 import { GET, POST, DELETE } from './request';
-import type { ChatItemType, ChatSiteItemType } from '@/types/chat';
+import type { HistoryItemType } from '@/types/chat';
-import type { InitChatResponse } from './response/chat';
+import type { InitChatResponse, InitShareChatResponse } from './response/chat';
-
+import { RequestPaging } from '../types/index';
-/**
+import type { ShareChatSchema } from '@/types/mongoSchema';
- * 获取一个聊天框的ID
+import type { ShareChatEditType } from '@/types/model';
- */
+import { Obj2Query } from '@/utils/tools';
-export const getChatSiteId = (modelId: string, isShare = false) =>
+import { QuoteItemType } from '@/pages/api/openapi/kb/appKbSearch';
-  GET<string>(`/chat/generate?modelId=${modelId}&isShare=${isShare ? 'true' : 'false'}`);
 
 /**
  * 获取初始化聊天内容
  */
-export const getInitChatSiteInfo = (chatId: string) =>
+export const getInitChatSiteInfo = (modelId: '' | string, chatId: '' | string) =>
-  GET<InitChatResponse>(`/chat/init?chatId=${chatId}`);
+  GET<InitChatResponse>(`/chat/init?modelId=${modelId}&chatId=${chatId}`);
 
 /**
- * 发送 GPT3 prompt
+ * 获取历史记录
  */
-export const postGPT3SendPrompt = ({
+export const getChatHistory = (data: RequestPaging) =>
-  chatId,
+  POST<HistoryItemType[]>('/chat/getHistory', data);
-  prompt
+
-}: {
+/**
-  prompt: ChatSiteItemType[];
+ * 删除一条历史记录
+ */
+export const delChatHistoryById = (id: string) => GET(`/chat/removeHistory?id=${id}`);
+
+/**
+ * get history quotes
+ */
+export const getHistoryQuote = (params: { chatId: string; historyId: string }) =>
+  GET<(QuoteItemType & { _id: string })[]>(`/chat/getHistoryQuote`, params);
+
+/**
+ * update history quote status
+ */
+export const updateHistoryQuote = (params: {
   chatId: string;
-}) =>
+  historyId: string;
-  POST<string>(`/chat/gpt3`, {
+  quoteId: string;
-    chatId,
+}) => GET(`/chat/updateHistoryQuote`, params);
-    prompt: prompt.map((item) => ({
-      obj: item.obj,
-      value: item.value
-    }))
-  });
-
-/**
- * 存储一轮对话
- */
-export const postSaveChat = (data: { chatId: string; prompts: ChatItemType[] }) =>
-  POST('/chat/saveChat', data);
 
 /**
  * 删除一句对话
  */
-export const delChatRecordByIndex = (chatId: string, index: number) =>
+export const delChatRecordByIndex = (chatId: string, contentId: string) =>
-  DELETE(`/chat/delChatRecordByIndex?chatId=${chatId}&index=${index}`);
+  DELETE(`/chat/delChatRecordByContentId?chatId=${chatId}&contentId=${contentId}`);
+
+/**
+ * create a shareChat
+ */
+export const createShareChat = (
+  data: ShareChatEditType & {
+    modelId: string;
+  }
+) => POST<string>(`/chat/shareChat/create`, data);
+
+/**
+ * get  shareChat
+ */
+export const getShareChatList = (modelId: string) =>
+  GET<ShareChatSchema[]>(`/chat/shareChat/list?modelId=${modelId}`);
+
+/**
+ * delete a  shareChat
+ */
+export const delShareChatById = (id: string) => DELETE(`/chat/shareChat/delete?id=${id}`);
+
+/**
+ * 初始化分享聊天
+ */
+export const initShareChatInfo = (data: { shareId: string; password: string }) =>
+  GET<InitShareChatResponse>(`/chat/shareChat/init?${Obj2Query(data)}`);

src/api/common.ts

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

src/api/data.ts

@@ -1,25 +0,0 @@
-import { GET, POST, DELETE, PUT } from './request';
-import { RequestPaging } from '../types/index';
-import { Obj2Query } from '@/utils/tools';
-import type { DataListItem } from '@/types/data';
-import type { PagingData } from '../types/index';
-import type { DataItemSchema } from '@/types/mongoSchema';
-import type { CreateDataProps } from '@/pages/data/components/CreateDataModal';
-
-export const getDataList = () => GET<DataListItem[]>(`/data/getDataList`);
-
-export const postData = (data: CreateDataProps) => POST<string>(`/data/postData`, data);
-
-export const postSplitData = (dataId: string, text: string) =>
-  POST(`/data/splitData`, { dataId, text });
-
-export const updateDataName = (dataId: string, name: string) =>
-  PUT(`/data/putDataName?dataId=${dataId}&name=${name}`);
-
-export const delData = (dataId: string) => DELETE(`/data/delData?dataId=${dataId}`);
-
-type GetDataItemsProps = RequestPaging & {
-  dataId: string;
-};
-export const getDataItems = (data: GetDataItemsProps) =>
-  GET<PagingData<DataItemSchema>>(`/data/getDataItems?${Obj2Query(data)}`);

src/api/fetch.ts

@@ -1,4 +1,5 @@
-import { getToken } from '../utils/user';
+import { GUIDE_PROMPT_HEADER, NEW_CHATID_HEADER, QUOTE_LEN_HEADER } from '@/constants/chat';
+
 interface StreamFetchProps {
   url: string;
   data: any;
@@ -6,46 +7,58 @@ interface StreamFetchProps {
   abortSignal: AbortController;
 }
 export const streamFetch = ({ url, data, onMessage, abortSignal }: StreamFetchProps) =>
-  new Promise(async (resolve, reject) => {
+  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',
+            'Content-Type': 'application/json'
-          Authorization: getToken() || ''
           },
           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);
+                resolve({ responseText, newChatId, quoteLen, systemPrompt });
               } else {
-            try {
                 const parseError = JSON.parse(responseText);
                 reject(parseError?.message || '请求异常');
-            } catch (err) {
-              reject('请求异常');
-            }
               }
 
               return;
             }
-        const text = decoder.decode(value).replace(/<br\/>/g, '\n');
+            const text = decoder.decode(value);
-        res.status === 200 && onMessage(text);
             responseText += text;
+            onMessage(text);
             read();
+          } catch (err: any) {
+            if (err?.message === 'The user aborted a request.') {
+              return resolve({ responseText, newChatId, quoteLen: 0, 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');
       }
-  });
+    }
+  );

src/api/model.ts

@@ -1,63 +1,44 @@
 import { GET, POST, DELETE, PUT } from './request';
-import type { ModelSchema, ModelDataSchema, ModelSplitDataSchema } from '@/types/mongoSchema';
+import type { ModelSchema } from '@/types/mongoSchema';
-import { ModelUpdateParams } from '@/types/model';
+import type { ModelUpdateParams } from '@/types/model';
-import { TrainingItemType } from '../types/training';
 import { RequestPaging } from '../types/index';
-import { Obj2Query } from '@/utils/tools';
+import type { ModelListResponse } from './response/model';
 
-export const getMyModels = () => GET<ModelSchema[]>('/model/list');
+/**
+ * 获取模型列表
+ */
+export const getMyModels = () => GET<ModelListResponse>('/model/list');
 
-export const postCreateModel = (data: { name: string; serviceModelName: string }) =>
+/**
-  POST<ModelSchema>('/model/create', data);
+ * 创建一个模型
+ */
+export const postCreateModel = (data: { name: string }) => POST<string>('/model/create', data);
 
+/**
+ * 根据 ID 删除模型
+ */
 export const delModelById = (id: string) => DELETE(`/model/del?modelId=${id}`);
 
+/**
+ * 根据 ID 获取模型
+ */
 export const getModelById = (id: string) => GET<ModelSchema>(`/model/detail?modelId=${id}`);
 
+/**
+ * 根据 ID 更新模型
+ */
 export const putModelById = (id: string, data: ModelUpdateParams) =>
   PUT(`/model/update?modelId=${id}`, data);
 
-export const postTrainModel = (id: string, form: FormData) =>
+/* 共享市场 */
-  POST(`/model/train/train?modelId=${id}`, form, {
+/**
-    headers: {
+ * 获取共享市场模型
-      'content-type': 'multipart/form-data'
+ */
-    }
+export const getShareModelList = (data: { searchText?: string } & RequestPaging) =>
-  });
+  POST(`/model/share/getModels`, data);
 
-export const putModelTrainingStatus = (id: string) =>
+/**
-  PUT(`/model/train/putTrainStatus?modelId=${id}`);
+ * 收藏/取消收藏模型
-
+ */
-export const getModelTrainings = (id: string) =>
+export const triggerModelCollection = (modelId: string) =>
-  GET<TrainingItemType[]>(`/model/train/getTrainings?modelId=${id}`);
+  POST<number>(`/model/share/collection?modelId=${modelId}`);
-
-/* 模型 data */
-
-type GetModelDataListProps = RequestPaging & {
-  modelId: string;
-};
-export const getModelDataList = (props: GetModelDataListProps) =>
-  GET(`/model/data/getModelData?${Obj2Query(props)}`);
-
-export const getExportDataList = (modelId: string) =>
-  GET<string>(`/model/data/exportModelData?modelId=${modelId}`);
-
-export const getModelSplitDataList = (modelId: string) =>
-  GET<ModelSplitDataSchema[]>(`/model/data/getSplitData?modelId=${modelId}`);
-
-export const postModelDataInput = (data: {
-  modelId: string;
-  data: { text: ModelDataSchema['text']; q: ModelDataSchema['q'] }[];
-}) => POST<number>(`/model/data/pushModelDataInput`, data);
-
-export const postModelDataFileText = (data: { modelId: string; text: string; prompt: string }) =>
-  POST(`/model/data/splitData`, data);
-
-export const postModelDataJsonData = (
-  modelId: string,
-  jsonData: { prompt: string; completion: string; vector?: number[] }[]
-) => POST(`/model/data/pushModelDataJson`, { modelId, data: jsonData });
-
-export const putModelDataById = (data: { dataId: string; text: string }) =>
-  PUT('/model/data/putModelData', data);
-export const delOneModelData = (dataId: string) =>
-  DELETE(`/model/data/delModelDataById?dataId=${dataId}`);

src/api/openapi.ts

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

src/api/plugins/kb.ts

@@ -0,0 +1,73 @@
+import { GET, POST, PUT, DELETE } from '../request';
+import type { KbItemType } from '@/types/plugin';
+import { RequestPaging } from '@/types/index';
+import { SplitTextTypEnum } from '@/constants/plugin';
+import { KbDataItemType } from '@/types/plugin';
+
+export type KbUpdateParams = { id: string; name: string; tags: string; avatar: string };
+
+/* knowledge base */
+export const getKbList = () => GET<KbItemType[]>(`/plugins/kb/list`);
+
+export const getKbById = (id: string) => GET<KbItemType>(`/plugins/kb/detail?id=${id}`);
+
+export const postCreateKb = (data: { name: string }) => POST<string>(`/plugins/kb/create`, data);
+
+export const putKbById = (data: KbUpdateParams) => PUT(`/plugins/kb/update`, data);
+
+export const delKbById = (id: string) => DELETE(`/plugins/kb/delete?id=${id}`);
+
+/* kb data */
+type GetKbDataListProps = RequestPaging & {
+  kbId: string;
+  searchText: string;
+};
+export const getKbDataList = (data: GetKbDataListProps) =>
+  POST(`/plugins/kb/data/getDataList`, data);
+
+/**
+ * 获取导出数据（不分页）
+ */
+export const getExportDataList = (kbId: string) =>
+  GET<[string, string][]>(`/plugins/kb/data/exportModelData?kbId=${kbId}`);
+
+/**
+ * 获取模型正在拆分数据的数量
+ */
+export const getTrainingData = (kbId: string) =>
+  GET<{
+    splitDataQueue: number;
+    embeddingQueue: number;
+  }>(`/plugins/kb/data/getTrainingData?kbId=${kbId}`);
+
+export const getKbDataItemById = (dataId: string) =>
+  GET(`/plugins/kb/data/getDataById`, { dataId });
+
+/**
+ * 直接push数据
+ */
+export const postKbDataFromList = (data: {
+  kbId: string;
+  data: { a: KbDataItemType['a']; q: KbDataItemType['q'] }[];
+}) => POST(`/openapi/kb/pushData`, data);
+
+/**
+ * 更新一条数据
+ */
+export const putKbDataById = (data: { dataId: string; a: string; q?: string }) =>
+  PUT('/openapi/kb/updateData', data);
+/**
+ * 删除一条知识库数据
+ */
+export const delOneKbDataByDataId = (dataId: string) =>
+  DELETE(`/openapi/kb/delDataById?dataId=${dataId}`);
+
+/**
+ * 拆分数据
+ */
+export const postSplitData = (data: {
+  kbId: string;
+  chunks: string[];
+  prompt: string;
+  mode: `${SplitTextTypEnum}`;
+}) => POST(`/openapi/text/splitText`, data);

src/api/request.ts

@@ -1,6 +1,6 @@
 import axios, { Method, InternalAxiosRequestConfig, AxiosResponse } from 'axios';
-import { getToken, clearToken } from '@/utils/user';
+import { clearCookie } from '@/utils/user';
-import { TOKEN_ERROR_CODE } from '@/constants/responseCode';
+import { TOKEN_ERROR_CODE } from '@/service/errorCode';
 
 interface ConfigType {
   headers?: { [key: string]: string };
@@ -17,7 +17,7 @@ interface ResponseDataType {
  */
 function requestStart(config: InternalAxiosRequestConfig): InternalAxiosRequestConfig {
   if (config.headers) {
-    config.headers.Authorization = getToken();
+    // config.headers.Authorization = getToken();
   }
 
   return config;
@@ -54,14 +54,14 @@ function responseError(err: any) {
   if (typeof err === 'string') {
     return Promise.reject({ message: err });
   }
-  if (err.response) {
   // 有报错响应
-    const res = err.response;
+  if (err?.code in TOKEN_ERROR_CODE) {
-    if (res.data.code in TOKEN_ERROR_CODE) {
+    clearCookie();
-      clearToken();
+    window.location.replace(
+      `/login?lastRoute=${encodeURIComponent(location.pathname + location.search)}`
+    );
     return Promise.reject({ message: 'token过期，重新登录' });
   }
-  }
   return Promise.reject(err);
 }
 

src/api/response/chat.d.ts

@@ -1,13 +1,25 @@
 import type { ChatPopulate, ModelSchema } from '@/types/mongoSchema';
 import type { ChatItemType } from '@/types/chat';
 
-export type InitChatResponse = {
+export interface InitChatResponse {
   chatId: string;
   modelId: string;
+  model: {
     name: string;
     avatar: string;
     intro: string;
-  chatModel: ModelSchema.service.chatModel; // 对话模型名
+    canUse: boolean;
-  modelName: ModelSchema.service.modelName; // 底层模型
+  };
+  chatModel: ModelSchema['chat']['chatModel']; // 对话模型名
   history: ChatItemType[];
-};
+}
+
+export interface InitShareChatResponse {
+  maxContext: number;
+  model: {
+    name: string;
+    avatar: string;
+    intro: string;
+  };
+  chatModel: ModelSchema['chat']['chatModel']; // 对话模型名
+}

src/api/response/model.d.ts

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

src/api/response/user.d.ts

@@ -1,5 +1,12 @@
 import type { UserType } from '@/types/user';
+import type { PromotionRecordSchema } from '@/types/mongoSchema';
 export interface ResLogin {
-  token: string;
   user: UserType;
 }
+
+export interface PromotionRecordType {
+  _id: PromotionRecordSchema['_id'];
+  type: PromotionRecordSchema['type'];
+  createTime: PromotionRecordSchema['createTime'];
+  amount: PromotionRecordSchema['amount'];
+}

src/api/system.ts

@@ -0,0 +1,6 @@
+import { GET, POST, PUT } from './request';
+import type { ChatModelItemType } from '@/constants/model';
+
+export const getFilling = () => GET<{ beianText: string }>('/system/getFiling');
+
+export const getSystemModelList = () => GET<ChatModelItemType[]>('/system/getModels');

src/api/user.ts

@@ -1,60 +1,74 @@
 import { GET, POST, PUT } from './request';
 import { createHashPassword, Obj2Query } from '@/utils/tools';
-import { ResLogin } from './response/user';
+import { ResLogin, PromotionRecordType } from './response/user';
-import { EmailTypeEnum } from '@/constants/common';
+import { UserAuthTypeEnum } from '@/constants/common';
-import { UserType, UserUpdateParams } from '@/types/user';
+import { UserBillType, UserType, UserUpdateParams } from '@/types/user';
 import type { PagingData, RequestPaging } from '@/types';
-import { BillSchema, PaySchema } from '@/types/mongoSchema';
+import { PaySchema } from '@/types/mongoSchema';
-import { adaptBill } from '@/utils/adapt';
 
-export const sendCodeToEmail = ({ email, type }: { email: string; type: `${EmailTypeEnum}` }) =>
+export const sendAuthCode = ({
-  GET('/user/sendEmail', { email, type });
+  username,
+  type
+}: {
+  username: string;
+  type: `${UserAuthTypeEnum}`;
+}) => GET('/user/sendAuthCode', { username, type });
 
 export const getTokenLogin = () => GET<UserType>('/user/tokenLogin');
 
+/* get promotion init data */
+export const getPromotionInitData = () =>
+  GET<{
+    invitedAmount: number;
+    historyAmount: number;
+    residueAmount: number;
+  }>('/user/promotion/getPromotionData');
+
 export const postRegister = ({
-  email,
+  username,
   password,
-  code
+  code,
+  inviterId
 }: {
-  email: string;
+  username: string;
   code: string;
   password: string;
+  inviterId: string;
 }) =>
   POST<ResLogin>('/user/register', {
-    email,
+    username,
     code,
+    inviterId,
     password: createHashPassword(password)
   });
 
 export const postFindPassword = ({
-  email,
+  username,
   code,
   password
 }: {
-  email: string;
+  username: string;
   code: string;
   password: string;
 }) =>
   POST<ResLogin>('/user/updatePasswordByCode', {
-    email,
+    username,
     code,
     password: createHashPassword(password)
   });
 
-export const postLogin = ({ email, password }: { email: string; password: string }) =>
+export const postLogin = ({ username, password }: { username: string; password: string }) =>
   POST<ResLogin>('/user/loginByPassword', {
-    email,
+    username,
     password: createHashPassword(password)
   });
 
+export const loginOut = () => GET('/user/loginout');
+
 export const putUserInfo = (data: UserUpdateParams) => PUT('/user/update', data);
 
 export const getUserBills = (data: RequestPaging) =>
-  GET<PagingData<BillSchema>>(`/user/getBill?${Obj2Query(data)}`).then((res) => ({
+  GET<PagingData<UserBillType>>(`/user/getBill?${Obj2Query(data)}`);
-    ...res,
-    data: res.data.map((bill) => adaptBill(bill))
-  }));
 
 export const getPayOrders = () => GET<PaySchema[]>(`/user/getPayOrders`);
 
@@ -65,3 +79,7 @@ export const getPayCode = (amount: number) =>
   }>(`/user/getPayCode?amount=${amount}`);
 
 export const checkPayResult = (payId: string) => GET<number>(`/user/checkPayResult?payId=${payId}`);
+
+/* promotion records */
+export const getPromotionRecords = (data: RequestPaging) =>
+  GET<PromotionRecordType>(`/user/promotion/getPromotions?${Obj2Query(data)}`);

src/components/Avatar/index.tsx

@@ -0,0 +1,19 @@
+import React from 'react';
+import { Image } from '@chakra-ui/react';
+import type { ImageProps } from '@chakra-ui/react';
+
+const Avatar = ({ w = '30px', ...props }: ImageProps) => {
+  return (
+    <Image
+      fallbackSrc="/icon/logo.png"
+      borderRadius={'50%'}
+      objectFit={'contain'}
+      alt=""
+      w={w}
+      h={w}
+      {...props}
+    />
+  );
+};
+
+export default Avatar;

src/components/Icon/icons/appStore.svg

@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1684739031957" class="icon" viewBox="0 0 1026 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="4988" xmlns:xlink="http://www.w3.org/1999/xlink" width="64.125" height="64"><path d="M371.732817 94.172314q25.773475 0 44.112294 17.843175t18.338819 43.616651l0 247.821878q0 25.773475-18.338819 44.112294t-44.112294 18.338819l-247.821878 0q-25.773475 0-43.616651-18.338819t-17.843175-44.112294l0-247.821878q0-25.773475 17.843175-43.616651t43.616651-17.843175l247.821878 0zM371.732817 589.81607q25.773475 0 44.112294 17.843175t18.338819 43.616651l0 248.813166q0 25.773475-18.338819 43.616651t-44.112294 17.843175l-247.821878 0q-25.773475 0-43.616651-17.843175t-17.843175-43.616651l0-248.813166q0-25.773475 17.843175-43.616651t43.616651-17.843175l247.821878 0zM868.367861 589.81607q25.773475 0 43.616651 17.843175t17.843175 43.616651l0 248.813166q0 25.773475-17.843175 43.616651t-43.616651 17.843175l-247.821878 0q-25.773475 0-44.112294-17.843175t-18.338819-43.616651l0-248.813166q0-25.773475 18.338819-43.616651t44.112294-17.843175l247.821878 0zM1006.156825 203.21394q19.82575 19.82575 19.82575 46.590513t-19.82575 45.599226l-184.379477 184.379477q-19.82575 19.82575-46.094869 19.82575t-46.094869-19.82575l-184.379477-184.379477q-18.834463-18.834463-18.834463-45.599226t18.834463-46.590513l184.379477-184.379477q19.82575-18.834463 46.094869-18.834463t46.094869 18.834463z" p-id="4989"></path></svg>

src/components/Icon/icons/back.svg

@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1683436459815" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="1278" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M377.04830749 512.02677874l395.88826112-382.68981248c23.33363769-22.59430969 23.33363769-59.16132466 0-81.68344804-23.33247261-22.5582171-61.18836224-22.5582171-84.52083485 0L250.30081877 471.19378659c-23.29754397 22.5582171-23.29754397 59.14385977 0 81.63105451l438.11491385 423.52280349c11.70233003 11.27968995 26.99767353 16.91837099 42.29534607 16.91837098 15.29883648 0 30.59418112-5.63984498 42.22548878-16.95446471 23.33363769-22.5582171 23.33363769-59.07283854 0-81.63105451L377.04830749 512.02677874" p-id="1279"></path></svg>

src/components/Icon/icons/chat.svg

@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1683254586102" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="940" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M512 34.13333333c263.91893333 0 477.86666667 213.94773333 477.86666667 477.86666667S775.91893333 989.86666667 512 989.86666667H79.6448A45.51146667 45.51146667 0 0 1 34.13333333 944.3552V512C34.13333333 248.08106667 248.08106667 34.13333333 512 34.13333333zM307.2 580.26666667a22.7552 22.7552 0 0 0-22.7552 22.7552V648.53333333A22.7552 22.7552 0 0 0 307.2 671.28853333h227.5552A22.7552 22.7552 0 0 0 557.51146667 648.53333333v-45.51146666A22.7552 22.7552 0 0 0 534.7552 580.26666667H307.2z m0-182.0448a22.7552 22.7552 0 0 0-22.7552 22.75626666v45.5104A22.7552 22.7552 0 0 0 307.2 489.2448h409.6a22.7552 22.7552 0 0 0 22.7552-22.75626667v-45.5104A22.7552 22.7552 0 0 0 716.8 398.22186667H307.2z" p-id="941"></path></svg>

src/components/Icon/icons/closeSolid.svg

@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1683455612885" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="1736" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M848.41813333 174.4896q69.90506667 69.90506667 104.31146667 157.2864t34.4064 179.13173333-34.4064 179.13173334-104.31146667 157.2864-157.2864 104.8576-179.13173333 34.95253333-179.67786667-34.95253333-157.83253333-104.8576-104.8576-157.2864-34.95253333-179.13173334 34.95253333-179.13173333 104.8576-157.2864 157.83253333-104.31146667 179.67786667-34.4064 179.13173333 34.4064 157.2864 104.31146667zM734.8224 729.36106667q22.9376-22.9376 20.20693333-52.4288t-25.66826666-52.4288l-114.688-114.688 114.688-114.688q22.9376-22.9376 25.66826666-52.4288t-20.20693333-52.4288-55.15946667-22.9376-55.15946666 22.9376l-114.688 113.59573333-111.4112-111.4112q-22.9376-21.84533333-52.4288-24.576t-52.4288 19.11466667q-22.9376 22.9376-22.9376 55.7056t22.9376 55.7056l111.4112 111.4112-111.4112 111.4112q-22.9376 22.9376-22.9376 55.15946666t22.9376 55.15946667 52.4288 20.20693333 52.4288-25.66826666l111.4112-111.4112 114.688 114.688q22.9376 22.9376 55.15946666 22.9376t55.15946667-22.9376z" p-id="1737"></path></svg>

src/components/Icon/icons/collectionLight.svg

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

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src/components/Icon/icons/delete.svg

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src/components/Icon/icons/develop.svg

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src/components/Icon/icons/edit.svg

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src/components/Icon/icons/empty.svg

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src/components/Icon/icons/git.svg

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src/components/Icon/icons/home.svg

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src/components/Icon/icons/kb.svg

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src/components/Icon/icons/menu.svg

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src/components/Icon/icons/model.svg

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src/components/Icon/icons/more.svg

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src/components/Icon/icons/out.svg

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src/components/Icon/icons/pay.svg

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

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

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

@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1683450443331" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="1727" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M58.15222827 227.09272427L492.1075808-23.4520384a39.00952427 39.00952427 0 0 1 39.00952427 0l433.95657066 250.54476267a39.00952427 39.00952427 0 0 1 19.50476267 33.78346666v501.0895232a39.00952427 39.00952427 0 0 1-19.50476267 33.78224747l-433.95657066 250.54476267a39.00952427 39.00952427 0 0 1-39.00952427 0L58.15100907 795.7479616a39.00952427 39.00952427 0 0 1-19.5047616-33.78224747V260.87619093a39.00952427 39.00952427 0 0 1 19.5047616-33.78346666z m63.494096 53.5503232a9.7523808 9.7523808 0 0 0-4.87619094 8.4467808v444.66224746a9.7523808 9.7523808 0 0 0 4.87619094 8.44556267l385.08982826 222.3311232a9.7523808 9.7523808 0 0 0 9.7523808 0l385.08860907-222.329904a9.7523808 9.7523808 0 0 0 4.87619093-8.44678187V289.08982827a9.7523808 9.7523808 0 0 0-4.87619093-8.4467808L516.48853333 58.3131424a9.7523808 9.7523808 0 0 0-9.7523808 0l-385.08982826 222.32990507z m389.56129493 190.72l300.3611424-173.4131808c18.65752427-10.77150507 42.51550507-4.3788192 53.28822933 14.27870506 10.77150507 18.65752427 4.3788192 42.51550507-14.27870506 53.28822827L551.00952427 538.4728384V881.37142827c0 21.54422827-17.46529493 39.00952427-39.00952427 39.00952426-21.54422827 0-39.00952427-17.46529493-39.00952427-39.00952426V539.38712427L172.89386667 366.12632427c-18.65752427-10.77272427-25.05142827-34.63070507-14.27870507-53.28822934 10.77272427-18.65752427 34.63070507-25.05142827 53.28822933-14.278704L511.2076192 471.36304747z" p-id="1728"></path></svg>

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

@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1684739068105" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="7879" xmlns:xlink="http://www.w3.org/1999/xlink" ><path d="M817.87 556.31h-63.58v-66.24A42.27 42.27 0 0 0 712 447.8h-84.81a42.27 42.27 0 0 0-42.27 42.27v66.24H436.57v-66.24a42.27 42.27 0 0 0-42.27-42.27h-84.83a42.27 42.27 0 0 0-42.27 42.27v66.24h-61.83A22.39 22.39 0 0 0 183 578.7a22.39 22.39 0 0 0 22.39 22.39h61.81v65.55a42.27 42.27 0 0 0 42.27 42.27h84.83a42.27 42.27 0 0 0 42.27-42.27v-65.55h148.36v65.55a42.27 42.27 0 0 0 42.27 42.27H712a42.27 42.27 0 0 0 42.27-42.27v-65.55h63.58a22.39 22.39 0 0 0 22.39-22.39 22.39 22.39 0 0 0-22.37-22.39z m-438.64 95.26h-54.69V505.14h54.69z m317.72 0h-54.69V505.14H697z" p-id="7880"></path><path d="M823 202.58h-90.81v-63.09a71.88 71.88 0 0 0-71.88-71.88H363.19a71.88 71.88 0 0 0-71.88 71.88v63.08h-90.12A137.17 137.17 0 0 0 64 339.75v479a137.17 137.17 0 0 0 137.19 137.14H823a137.17 137.17 0 0 0 137.19-137.17v-479A137.17 137.17 0 0 0 823 202.58z m-474.36-54.1A23.52 23.52 0 0 1 372.17 125h279.16a23.52 23.52 0 0 1 23.52 23.52v54.1h-326.2z m554.23 673.31a76.76 76.76 0 0 1-76.76 76.76h-628a76.76 76.76 0 0 1-76.76-76.76V336.67a76.76 76.76 0 0 1 76.76-76.76h628a76.76 76.76 0 0 1 76.76 76.76z" p-id="7881"></path></svg>

src/components/Icon/icons/promotion.svg

@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1683254589346" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="1074" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M446.5084032 361.0189472m-220.5069312 0a215.4848 215.4848 0 1 0 441.01386347 0 215.4848 215.4848 0 1 0-441.01386347 0ZM620.04694507 784.5116256c0-68.92772267 33.63539307-129.9888128 85.37702826-167.69996587 0.03602027-0.02619627 0.03820373-0.08077333 0.00218347-0.1080608-26.91486293-21.45832213-56.54544427-39.6551616-88.3045024-53.96834986-0.02401387-0.0109152-0.0523936-0.00654933-0.07204053 0.009824-46.01985387 38.94457813-105.5320672 62.44187093-170.5412096 62.44187093s-124.52026453-23.4962016-170.5412096-62.44187093c-0.019648-0.01746453-0.04802667-0.0207392-0.07204054-0.009824C143.28449387 622.50178773 47.66130453 749.79343893 32.841648 900.79959573c-0.00436587 0.04038613 0.02837973 0.0753152 0.06876587 0.0753152l622.71265706 0c0.054576 0 0.0873216-0.06003413 0.05566827-0.1058784C633.19001707 867.60954667 620.04694507 827.59745493 620.04694507 784.5116256zM827.43700053 620.7826336c-90.42533867 0-163.728992 73.30365227-163.728992 163.728992s73.30365227 163.728992 163.728992 163.728992 163.728992-73.30365227 163.728992-163.728992S917.86234027 620.7826336 827.43700053 620.7826336zM911.96263893 808.52521067L851.51935253 808.52521067c-0.03820373 0-0.06876587 0.0305632-0.06876586 0.06876586l0 60.4432864c0 12.48597333-9.2812512 23.34448-21.71155627 24.51896214-14.23023253 1.34476053-26.31561493-9.93725867-26.31561493-23.90443307l0-61.05672427c0-0.03820373-0.0305632-0.06876587-0.06876587-0.06876586L742.9124544 808.52630187c-12.48597333 0-23.34448-9.2812512-24.51896213-21.71155627-1.34476053-14.23023253 9.93725867-26.31561493 23.90443306-26.31561493l61.05672427 0c0.03820373 0 0.06876587-0.0305632 0.06876587-0.06876587l0-60.4432864c0-12.48597333 9.2812512-23.34448 21.71155626-24.51896213 14.23023253-1.34476053 26.31561493 9.93725867 26.31561494 23.90443306l0 61.05672427c0 0.03820373 0.0305632 0.06876587 0.06876586 0.06876587l61.05672427 0c13.9671744 0 25.2491936 12.0853824 23.90443307 26.31561493C935.30602667 799.24396053 924.44752 808.52521067 911.96263893 808.52521067z" p-id="1075"></path></svg>

src/components/Icon/icons/share.svg

@@ -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="1679070718083" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="5975" id="mx_n_1679070718084" width="48" height="48" xmlns:xlink="http://www.w3.org/1999/xlink"><path d="M1023.82 694.91v146.26c0 102.38-80.44 182.82-182.82 182.82H182.83C80.45 1024 0 943.56 0 841.18V183.01C0 80.63 80.45 0.19 182.83 0.19h146.26c21.94 0 36.57 14.62 36.57 36.57 0 21.94-14.62 36.56-36.57 36.56H182.83c-58.5 0-109.7 51.19-109.7 109.7v658.17c0 58.5 51.19 109.7 109.7 109.7h658.17c58.5 0 109.7-51.19 109.7-109.7V694.91c0-21.94 14.62-36.56 36.56-36.56 21.93 0 36.56 14.63 36.56 36.56z" p-id="5976"></path><path d="M1012.6 292.61L684.73 5.86c-6.56-5.7-15.02-6.32-21.96-1.49-6.94 4.83-11.31 14.24-11.31 24.65v132.66h-80.9c-84.89 0-164.74 41.49-224.82 116.92-29.27 36.79-52.28 79.65-68.44 127.34C260.57 455.5 252.11 508.02 252.11 562.27c0 40.13 4.65 85.72 12.17 118.79 2.47 11.02 9.89 18.95 18.72 19.94h1.81c8.08 0 15.59-6.07 19.21-15.61 50.29-134.27 154.86-220.98 266.46-220.98h80.9v138.12c0 10.28 4.37 19.69 11.31 24.65 6.94 4.83 15.4 4.33 21.96-1.49l327.96-286.75c5.89-5.21 9.51-13.87 9.51-23.16-0.01-9.3-3.53-17.97-9.52-23.17z m-88.21 16.04L717.4 477.58v-81.92c0-11.07-7.41-20.08-16.52-20.08h-78.98c-49.84 0-95.79 2.5-146.79 32.25-30.31 17.68-130.92 89.06-150 121.09-0.51-7.94 20.14-85.47 23-92.41C390.11 334.54 504.6 237.8 621.9 237.8h78.98c9.1 0 16.52-9.02 16.52-20.08v-78l206.99 168.93z" p-id="5977"></path></svg>

src/components/Icon/icons/stop.svg

@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1682424901088" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="3662" xmlns:xlink="http://www.w3.org/1999/xlink" width="32" height="32"><path d="M885.333333 85.333333H138.666667a53.393333 53.393333 0 0 0-53.333334 53.333334v746.666666a53.393333 53.393333 0 0 0 53.333334 53.333334h746.666666a53.393333 53.393333 0 0 0 53.333334-53.333334V138.666667a53.393333 53.393333 0 0 0-53.333334-53.333334z m-160 602.666667a37.373333 37.373333 0 0 1-37.333333 37.333333H336a37.373333 37.373333 0 0 1-37.333333-37.333333V336a37.373333 37.373333 0 0 1 37.333333-37.333333h352a37.373333 37.373333 0 0 1 37.333333 37.333333z"  p-id="3663"></path></svg>

src/components/Icon/icons/user.svg

@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1683294437103" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="1297" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M512 1025.74643102C229.20379943 1025.74643102-1.74643102 794.79620057-1.74643102 512S229.20379943-1.74643102 512-1.74643102 1025.74643102 229.20379943 1025.74643102 512 794.79620057 1025.74643102 512 1025.74643102z m254.5165805-400.62795081c-14.13981003-9.42654002-28.27962006-14.13981003-47.13270009-18.85308002-42.41943008-9.42654002-94.26540019-14.13981003-127.25829026-56.55924012 0 0-18.85308003-18.85308003 23.56635004-65.98578013 42.41943008-47.1327001 42.41943008-122.54502023 32.99289008-179.10426035-9.42654002-56.55924012-65.98578013-94.26540019-127.25829025-94.2654002-61.27251012 0-117.83175024 37.70616007-127.25829026 94.2654002-9.42654002 56.55924012-4.71327001 131.97156027 32.99289007 179.10426035 42.41943008 47.1327001 23.56635005 65.98578013 23.56635005 65.98578013-32.99289006 42.41943008-84.83886017 47.1327001-127.25829024 56.55924012-18.85308003 4.71327001-32.99289006 9.42654002-47.13270012 18.85308002-28.27962006 14.13981003-14.13981003 141.39810029-14.13981001 141.39810029h513.74643101c-9.42654002 0 0-122.54502023-9.42654002-141.39810029z" p-id="1298"></path></svg>

src/components/Icon/icons/withdraw.svg

@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1682079057126" class="icon" viewBox="0 0 1322 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2677" xmlns:xlink="http://www.w3.org/1999/xlink" width="36.1484375" height="28"><path d="M952.04654459 837.88839531H336.95615443A113.52706888 113.52706888 0 0 1 223.61160468 724.54384556v-419.79462838h728.43493991a113.52706888 113.52706888 0 0 1 113.34454973 113.34454975V724.54384556a113.52706888 113.52706888 0 0 1-113.34454973 113.34454975zM278.36742569 359.13999928v365.03880736a58.77124787 58.77124787 0 0 0 58.58872873 58.58872874h615.09039016a58.77124787 58.77124787 0 0 0 58.58872874-58.58872874V417.72872802a58.77124787 58.77124787 0 0 0-58.58872874-58.58872874z" p-id="2678"></path><path d="M278.36742569 350.37906772H223.61160468V297.44844068A111.51935577 111.51935577 0 0 1 334.94844068 186.11160469h334.01050924a111.51935577 111.51935577 0 0 1 111.33683598 111.33683599v49.09771996h-54.75582101V297.44844068A56.76353475 56.76353475 0 0 0 668.95894991 240.8674257H334.94844068A56.76353475 56.76353475 0 0 0 278.36742569 297.44844068zM1038.19570329 704.83175018H825.92563707A131.59649008 131.59649008 0 0 1 825.92563707 441.63877003h208.43715913v54.75582103H825.92563707a76.84066906 76.84066906 0 0 0 0 153.86385725h212.27006621z" p-id="2679"></path><path d="M889.80742792 600.43065117h-65.34194654a27.37791082 27.37791082 0 0 1 0-54.75582103h65.34194654a27.37791082 27.37791082 0 0 1-1e-8 54.75582103z" p-id="2680"></path></svg>

src/components/Icon/icons/wx.svg

@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1683506233267" class="icon" viewBox="0 0 1228 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="1762" xmlns:xlink="http://www.w3.org/1999/xlink" width="76.75" height="64"><path d="M86.176896 791.989949a21.240784 21.240784 0 0 1-19.541522-29.567172l61.246284-143.648389c-37.626532-31.205746-67.788446-67.31508-89.636109-107.526919C12.914397 464.529882 0 414.668658 0 363.059621c0-49.594197 11.906977-97.646919 35.405353-142.847308 22.503094-43.294787 54.619159-82.098665 95.47429-115.307114C214.010004 37.250267 324.26788 0 441.371358 0s227.324941 37.250267 310.443164 104.868786c40.842994 33.232724 72.971197 72.036602 95.474291 115.307114 23.498376 45.200389 35.405353 93.253111 35.405353 142.847308h-42.481569C840.212597 186.299884 661.280231 42.481568 441.371358 42.481568S42.481568 186.299884 42.481568 363.059621c0 44.447858 11.130171 87.487756 33.099211 127.905934 21.422848 39.447171 52.070265 74.573359 91.031932 104.383282a21.240784 21.240784 0 0 1 6.639263 25.209777l-45.940782 107.745395 146.670649-67.836996a21.252922 21.252922 0 0 1 15.66963-0.91032 481.291895 481.291895 0 0 0 151.719887 24.056706 500.372188 500.372188 0 0 0 53.793803-2.900884l4.58801 42.226679a543.011545 543.011545 0 0 1-58.381813 3.143636 524.902259 524.902259 0 0 1-157.011877-23.607615L95.085888 790.035796a21.216509 21.216509 0 0 1-8.908992 1.954153z" p-id="1763"></path><path d="M1151.578219 1024a21.204371 21.204371 0 0 1-8.908992-1.96629L980.984378 947.2176a454.504232 454.504232 0 0 1-134.800086 20.09985c-101.37316 0.036413-196.835313-32.237442-268.871915-90.813455-35.441766-28.838916-63.321812-62.508594-82.851196-100.098713a265.958893 265.958893 0 0 1 0-248.407937c19.541521-37.626532 47.421568-71.271934 82.851196-100.098713 72.00019-58.588152 167.498755-90.849868 268.835502-90.849868s196.859588 32.261717 268.859778 90.849868c35.441766 28.838916 63.321812 62.508594 82.851196 100.098713a266.929901 266.929901 0 0 1 30.780931 124.203968c0 44.909087-11.190859 88.228149-33.244862 128.840529-18.631202 34.300832-44.192969 65.166726-76.07842 91.905838l51.803238 121.485148a21.240784 21.240784 0 0 1-19.541521 29.567172z m-169.198018-120.732617a21.228647 21.228647 0 0 1 8.921129 1.966289l119.094043 55.080388-36.412773-85.521466a21.240784 21.240784 0 0 1 6.639262-25.209776c33.208449-25.379703 59.292132-55.262452 77.510656-88.810753 18.64334-34.325107 28.098523-70.847119 28.098523-108.558614 0-150.348339-152.520968-272.670981-339.998198-272.670981S506.186094 501.840836 506.186094 652.201313 658.707062 924.872295 846.172155 924.872295a410.857454 410.857454 0 0 0 129.520233-20.524667 21.228647 21.228647 0 0 1 6.687813-1.080245z" p-id="1764"></path><path d="M276.542873 215.830643m-45.916507 0a45.916507 45.916507 0 1 0 91.833013 0 45.916507 45.916507 0 1 0-91.833013 0Z" p-id="1765"></path><path d="M537.319015 215.830643m-45.916507 0a45.916507 45.916507 0 1 0 91.833013 0 45.916507 45.916507 0 1 0-91.833013 0Z" p-id="1766"></path><path d="M715.790152 509.997297m-45.916506 0a45.916507 45.916507 0 1 0 91.833013 0 45.916507 45.916507 0 1 0-91.833013 0Z" p-id="1767"></path><path d="M976.566294 509.997297m-45.916506 0a45.916507 45.916507 0 1 0 91.833013 0 45.916507 45.916507 0 1 0-91.833013 0Z" p-id="1768"></path></svg>

src/components/Icon/index.tsx

@@ -1,23 +1,50 @@
 import React from 'react';
 import type { IconProps } from '@chakra-ui/react';
 import { Icon } from '@chakra-ui/react';
-import dynamic from 'next/dynamic';
 
 const map = {
   model: require('./icons/model.svg').default,
-  share: require('./icons/share.svg').default,
-  home: require('./icons/home.svg').default,
-  menu: require('./icons/menu.svg').default,
-  pay: require('./icons/pay.svg').default,
   copy: require('./icons/copy.svg').default,
-  chatSend: require('./icons/chatSend.svg').default
+  chatSend: require('./icons/chatSend.svg').default,
+  develop: require('./icons/develop.svg').default,
+  user: require('./icons/user.svg').default,
+  promotion: require('./icons/promotion.svg').default,
+  delete: require('./icons/delete.svg').default,
+  withdraw: require('./icons/withdraw.svg').default,
+  stop: require('./icons/stop.svg').default,
+  collectionLight: require('./icons/collectionLight.svg').default,
+  collectionSolid: require('./icons/collectionSolid.svg').default,
+  chat: require('./icons/chat.svg').default,
+  empty: require('./icons/empty.svg').default,
+  back: require('./icons/back.svg').default,
+  more: require('./icons/more.svg').default,
+  tabbarChat: require('./icons/phoneTabbar/chat.svg').default,
+  tabbarModel: require('./icons/phoneTabbar/model.svg').default,
+  tabbarMore: require('./icons/phoneTabbar/more.svg').default,
+  tabbarMe: require('./icons/phoneTabbar/me.svg').default,
+  closeSolid: require('./icons/closeSolid.svg').default,
+  wx: require('./icons/wx.svg').default,
+  out: require('./icons/out.svg').default,
+  git: require('./icons/git.svg').default,
+  kb: require('./icons/kb.svg').default,
+  appStore: require('./icons/appStore.svg').default,
+  menu: require('./icons/menu.svg').default,
+  edit: require('./icons/edit.svg').default
 };
 
 export type IconName = keyof typeof map;
 
 const MyIcon = ({ name, w = 'auto', h = 'auto', ...props }: { name: IconName } & IconProps) => {
   return map[name] ? (
-    <Icon as={map[name]} w={w} h={h} boxSizing={'content-box'} verticalAlign={'top'} {...props} />
+    <Icon
+      as={map[name]}
+      w={w}
+      h={h}
+      boxSizing={'content-box'}
+      verticalAlign={'top'}
+      fill={'currentcolor'}
+      {...props}
+    />
   ) : null;
 };
 

src/components/Layout/auth.tsx

@@ -2,12 +2,13 @@ import React from 'react';
 import { useRouter } from 'next/router';
 import { useToast } from '@chakra-ui/react';
 import { useUserStore } from '@/store/user';
-import { useGlobalStore } from '@/store/global';
 import { useQuery } from '@tanstack/react-query';
 
 const unAuthPage: { [key: string]: boolean } = {
   '/': true,
-  '/login': true
+  '/login': true,
+  '/model/share': true,
+  '/chat/share': true
 };
 
 const Auth = ({ children }: { children: JSX.Element }) => {
@@ -18,26 +19,23 @@ const Auth = ({ children }: { children: JSX.Element }) => {
     status: 'warning'
   });
   const { userInfo, initUserInfo } = useUserStore();
-  const { setLoading } = useGlobalStore();
 
   useQuery(
-    [router.pathname, userInfo],
+    [router.pathname],
     () => {
       if (unAuthPage[router.pathname] === true || userInfo) {
-        return setLoading(false);
+        return null;
       } else {
-        setLoading(true);
         return initUserInfo();
       }
     },
     {
       onError(error) {
         console.log('error->', error);
-        router.push('/login');
+        router.replace(
+          `/login?lastRoute=${encodeURIComponent(location.pathname + location.search)}`
+        );
         toast();
-      },
-      onSettled() {
-        setLoading(false);
       }
     }
   );

src/components/Layout/index.tsx

@@ -1,51 +1,34 @@
-import React, { useEffect } from 'react';
+import React, { useEffect, useMemo } from 'react';
 import { Box, useColorMode, Flex } from '@chakra-ui/react';
+import { useRouter } from 'next/router';
+import { useLoading } from '@/hooks/useLoading';
+import { useGlobalStore } from '@/store/global';
+import { throttle } from 'lodash';
+import Auth from './auth';
 import Navbar from './navbar';
 import NavbarPhone from './navbarPhone';
-import { useRouter } from 'next/router';
-import { useScreen } from '@/hooks/useScreen';
-import { useLoading } from '@/hooks/useLoading';
-import Auth from './auth';
-import { useGlobalStore } from '@/store/global';
 
-const unShowLayoutRoute: { [key: string]: boolean } = {
+const pcUnShowLayoutRoute: Record<string, boolean> = {
+  '/': true,
   '/login': true,
-  '/chat': true
+  '/chat/share': true
+};
+const phoneUnShowLayoutRoute: Record<string, boolean> = {
+  '/': true,
+  '/login': true,
+  '/chat/share': true
 };
 
-const navbarList = [
-  {
-    label: '介绍',
-    icon: 'icon-gongzuotai-01',
-    link: '/',
-    activeLink: ['/']
-  },
-  {
-    label: '模型',
-    icon: 'icon-moxing',
-    link: '/model/list',
-    activeLink: ['/model/list', '/model/detail']
-  },
-  // {
-  //   label: '数据',
-  //   icon: 'icon-datafull',
-  //   link: '/data/list',
-  //   activeLink: ['/data/list', '/data/detail']
-  // },
-  {
-    label: '账号',
-    icon: 'icon-yonghu-yuan',
-    link: '/number/setting',
-    activeLink: ['/number/setting']
-  }
-];
-
 const Layout = ({ children }: { children: JSX.Element }) => {
-  const { isPc } = useScreen();
   const router = useRouter();
   const { colorMode, setColorMode } = useColorMode();
-  const { Loading } = useLoading({ defaultLoading: true });
+  const { Loading } = useLoading();
-  const { loading } = useGlobalStore();
+  const { loading, setScreenWidth, isPc } = useGlobalStore();
+
+  const isChatPage = useMemo(
+    () => router.pathname === '/chat' && Object.values(router.query).join('').length !== 0,
+    [router.pathname, router.query]
+  );
 
   useEffect(() => {
     if (colorMode === 'dark' && router.pathname !== '/chat') {
@@ -53,38 +36,52 @@ const Layout = ({ children }: { children: JSX.Element }) => {
     }
   }, [colorMode, router.pathname, setColorMode]);
 
+  useEffect(() => {
+    const resize = throttle(() => {
+      setScreenWidth(document.documentElement.clientWidth);
+    }, 300);
+    resize();
+
+    window.addEventListener('resize', resize);
+
+    return () => {
+      window.removeEventListener('resize', resize);
+    };
+  }, [setScreenWidth]);
+
   return (
     <>
-      {!unShowLayoutRoute[router.pathname] ? (
+      <Box
-        <Box h={'100%'} backgroundColor={'gray.100'} overflow={'auto'}>
+        h={'100%'}
+        bgGradient={'linear(to-t,rgba(173, 206, 255, 0.05) 0%, rgba(173, 206, 255, 0.12) 100%)'}
+      >
         {isPc ? (
-            <>
+          pcUnShowLayoutRoute[router.pathname] ? (
-              <Box h={'100%'} position={'fixed'} left={0} top={0} w={'80px'}>
-                <Navbar navbarList={navbarList} />
-              </Box>
-              <Box h={'100%'} ml={'80px'}>
-                <Box h={'100%'} py={7} px={'5vw'} m={'auto'} overflowY={'auto'}>
             <Auth>{children}</Auth>
+          ) : (
+            <>
+              <Box h={'100%'} position={'fixed'} left={0} top={0} w={'60px'}>
+                <Navbar />
               </Box>
+              <Box h={'100%'} ml={'60px'} overflow={'overlay'}>
+                <Auth>{children}</Auth>
               </Box>
             </>
+          )
+        ) : phoneUnShowLayoutRoute[router.pathname] || isChatPage ? (
+          <Auth>{children}</Auth>
         ) : (
           <Flex h={'100%'} flexDirection={'column'}>
-              <Box h={'60px'} borderBottom={'1px solid rgba(0,0,0,0.1)'}>
+            <Box flex={'1 0 0'} h={0} overflow={'overlay'}>
-                <NavbarPhone navbarList={navbarList} />
-              </Box>
-              <Box flex={'1 0 0'} h={0} py={3} px={4} overflowY={'auto'}>
               <Auth>{children}</Auth>
             </Box>
+            <Box h={'50px'} borderTop={'1px solid rgba(0,0,0,0.1)'}>
+              <NavbarPhone />
+            </Box>
           </Flex>
         )}
       </Box>
-      ) : (
+      <Loading loading={loading} />
-        <Auth>
-          <>{children}</>
-        </Auth>
-      )}
-      {loading && <Loading />}
     </>
   );
 };