docs and login direct

Signed-off-by: 晓杰 <2561589453@qq.com>

.env.template

@@ -1,13 +1,27 @@
-AXIOS_PROXY_HOST=127.0.0.1
-AXIOS_PROXY_PORT_FAST=7890
-AXIOS_PROXY_PORT_NORMAL=7890
-MONGODB_URI=mongodb://username:password@0.0.0.0:27017/?authSource=admin&readPreference=primary&appname=MongoDB%20Compass&ssl=false
-MY_MAIL=11111111@qq.com
-MAILE_CODE=sdasadasfasfad
-aliAccessKeyId=阿里云keyid
-aliAccessKeySecret=阿里云keysecret
-aliSignName=短信签名
-aliTemplateCode=SMS_号
-TOKEN_KEY=sssssssss
-OPENAIKEY=sk-afadfadfadfsd
-REDIS_URL=redis://default:password@0.0.0.0:8100
+# proxy
+# AXIOS_PROXY_HOST=127.0.0.1
+# AXIOS_PROXY_PORT=7890
+# OPENAI_BASE_URL=https://api.openai.com/v1
+# OPENAI_BASE_URL_AUTH=可选的安全凭证
+# 是否开启队列任务。 1-开启，0-关闭（请求parentUrl去执行任务,单机时直接填1）
+queueTask=1
+parentUrl=https://hostname/api/openapi/startEvents
+# email
+MY_MAIL=xxx@qq.com
+MAILE_CODE=xxx
+# ali ems
+aliAccessKeyId=xxx
+aliAccessKeySecret=xxx
+aliSignName=xxx
+aliTemplateCode=SMS_xxx
+# token
+TOKEN_KEY=xxx
+# openai
+OPENAIKEY=sk-xxx
+# 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 }}/fast-gpt
+        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=fast-gpt image" \
+          --label "org.opencontainers.image.licenses=MIT" \
+          --push \
+          -t ${DOCKER_REPO}:latest \
+          -f Dockerfile \
+          .

.gitignore

@@ -34,7 +34,6 @@ yarn-error.log*
 # typescript
 *.tsbuildinfo
 next-env.d.ts
-/public/trainData/
 /.vscode/
 platform.json
 testApi/

README.md

@@ -1,142 +1,100 @@
 # 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。
+
+## 知识库原理
+![KBProcess](docs/imgs/KBProcess.jpg?raw=true "KBProcess")
 
 ## 开发
-复制 .env.template 成 .env.local ，填写核心参数  
-
-```
-AXIOS_PROXY_HOST=axios代理地址，目前 openai 接口都需要走代理，本机的话就填 127.0.0.1
-AXIOS_PROXY_PORT_FAST=代理端口1,clash默认为7890
-AXIOS_PROXY_PORT_NORMAL=代理端口2
-MONGODB_URI=mongo数据库地址
-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
-OPENAIKEY=openai的key
-REDIS_URL=redis的地址
-```
+**配置环境变量**
 ```bash
+# proxy（可选）
+AXIOS_PROXY_HOST=127.0.0.1
+AXIOS_PROXY_PORT=7890
+# openai 中转连接（可选）
+OPENAI_BASE_URL=https://api.openai.com/v1
+OPENAI_BASE_URL_AUTH=可选的安全凭证
+# 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。参考 nodeMail 获取参数，自行百度。
+MY_MAIL=xxx@qq.com
+MAILE_CODE=xxx
+# 阿里短信服务（邮箱和短信至少二选一）
+aliAccessKeyId=xxx
+aliAccessKeySecret=xxx
+aliSignName=xxx
+aliTemplateCode=SMS_xxx
+# token（随便填，作为登录凭证）
+TOKEN_KEY=xxx
+# openai key
+OPENAIKEY=sk-xxx
+# mongo连接地址
+MONGODB_URI=mongodb://username:password@0.0.0.0:27017/test?authSource=admin
+# mongo数据库名称
+MONGODB_NAME=xxx 
+# pg 数据库相关内容，和 docker-compose 对上
+PG_HOST=0.0.0.0 
+PG_PORT=8102
+PG_USER=xxx
+PG_PASSWORD=xxx
+PG_DB_NAME=xxx
+```
+**运行**
+```
 pnpm dev
 ```
 
 ## 部署
 
-### docker 模式
-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。
+### 代理环境（国外服务器可忽略）
+1. [clash 方案](./docs/proxy/clash.md) - 仅需一台服务器（需要有 clash）
+2. [nginx 方案](./docs/proxy/nginx.md) - 需要一台国外服务器
+3. [cloudflare 方案](./docs/proxy/cloudflare.md) - 需要有域名（每日免费 10w 次代理请求）
 
-#### docker 打包
-```bash
-docker build -t imageName:tag .
-docker push imageName:tag
-# 或者直接拉镜像，见下方
-```
-
-#### 软件教程：docker 安装
+### docker 部署
+#### 1. 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 -sSL https://get.daocloud.io/docker | sh
+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
 ```
 
-#### 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. 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 $OLD_PROCESS
-fi
-sleep 2
-cd  **/clash
-rm -f ./nohup.out || true
-rm -f ./cache.db || true
-nohup ./clash-linux-amd64-v1.10.0  -d ./ &
-echo "Restart clash"
+#### 2. 创建3个初始化文件
+手动创建或者直接把 deploy 里内容复制过去
+
+**/root/fast-gpt/pg/init.sql**
+```sql
+set -e
+psql -v ON_ERROR_STOP=1 --username "$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) NOT NULL,
+    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_modelId_index ON modelData USING HASH (model_id);
+EOSQL
 ```
 
-#### 文件创建
-**yml文件**
-```yml
-version: "3.3"
-services:
-  fast-gpt:
-    image: c121914yu/fast-gpt:latest
-    environment:
-      AXIOS_PROXY_HOST: 127.0.0.1
-      AXIOS_PROXY_PORT: 7890
-      MY_MAIL: 11111111@qq.com
-      MAILE_CODE: sdasadasfasfad
-      TOKEN_KEY: sssssssss
-      MONGODB_URI: mongodb://username:password@0.0.0.0:27017/?authSource=admin&readPreference=primary&appname=MongoDB%20Compass&ssl=false
-      OPENAIKEY: sk-afadfadfadfsd
-      REDIS_URL: redis://default:password@0.0.0.0:8100
-    network_mode: host
-    restart: always
-    container_name: fast-gpt
-  mongodb:
-    image: mongo:6.0.4
-    container_name: mongo
-    restart: always
-    environment:
-      - MONGO_INITDB_ROOT_USERNAME=root
-      - MONGO_INITDB_ROOT_PASSWORD=ROOT_1234
-      - MONGO_DATA_DIR=/data/db
-      - MONGO_LOG_DIR=/data/logs
-    volumes:
-      - /root/fastgpt/mongo/data:/data/db
-      - /root/fastgpt/mongo/logs:/data/logs
-    ports:
-      - 27017:27017
-  nginx: 
-    image: nginx:alpine3.17
-    container_name: nginx
-    restart: always
-    network_mode: host
-    ports:
-      - "80:80"
-    volumes:
-      - /root/fastgpt/nginx/nginx.conf:/etc/nginx/nginx.conf:ro
-  redis-stack:
-    image: redis/redis-stack:6.2.6-v6
-    container_name: redis-stack
-    restart: unless-stopped
-    ports:
-      - "8100:6379"
-      - "8101:8001"
-    environment:
-      - REDIS_ARGS=--requirepass psw1234
-    volumes:
-      - /etc/localtime:/etc/localtime:ro
-      - /root/fastgpt/redis/redis.conf:/redis.conf
-      - /root/fastgpt/redis/data:/data
-```
-**redis.conf**
-```
-## 开启aop持久化
-appendonly yes
-#default: 持久化文件
-appendfilename "appendonly.aof"
-#default: 每秒同步一次
-appendfsync everysec
-```
-**nginx.conf**
+**/root/fast-gpt/nginx/nginx.conf**
 ```conf
 user nginx;
 worker_processes auto;
@@ -169,9 +127,9 @@ http {
 
     server {
         listen 443 ssl;
-        server_name fastgpt.ahapocket.cn;
-        ssl_certificate /ssl/fastgpt.pem;
-        ssl_certificate_key /ssl/fastgpt.key;
+        server_name docgpt.ahapocket.cn;
+        ssl_certificate /ssl/docgpt.pem;
+        ssl_certificate_key /ssl/docgpt.key;
         ssl_session_timeout 5m;
 
         location / {
@@ -183,25 +141,88 @@ http {
     }
     server {
         listen 80;
-        server_name fastgpt.ahapocket.cn;
+        server_name docgpt.ahapocket.cn;
         rewrite ^(.*) https://$server_name$1 permanent;
     }
 }
 ```
 
-#### 运行脚本
-**redis 初始化**
-```bash
-# 进入容器
-docker exec -it  容器ID  bash
-redis-cli -p 6379
-auth psw1234
-# 添加索引
-FT.CREATE idx:model:data:hash ON HASH PREFIX 1 model:data: SCHEMA modelId TAG userId TAG status TAG q TEXT text TEXT vector VECTOR FLAT 6 DIM 1536 DISTANCE_METRIC COSINE TYPE FLOAT32
+**/root/fast-gpt/docker-compose.yml**
+```yml
+version: "3.3"
+services:
+  fast-gpt:
+    image: c121914yu/fast-gpt:latest
+    network_mode: host
+    restart: always
+    container_name: fast-gpt
+    environment:
+      # - AXIOS_PROXY_HOST=127.0.0.1
+      # - AXIOS_PROXY_PORT=7890
+      # - OPENAI_BASE_URL=https://api.openai.com/v1
+      # - OPENAI_BASE_URL_AUTH=可选的安全凭证
+      - MY_MAIL=xxxx@qq.com  
+      - MAILE_CODE=xxxx
+      - aliAccessKeyId=xxxx 
+      - aliAccessKeySecret=xxxx
+      - aliSignName=xxxxx
+      - aliTemplateCode=SMS_xxxx
+      - TOKEN_KEY=xxxx 
+      - queueTask=1
+      - parentUrl=https://hostname/api/openapi/startEvents
+      - MONGODB_URI=mongodb://username:passsword@0.0.0.0:27017/?authSource=admin
+      - MONGODB_NAME=xxx
+      - PG_HOST=0.0.0.0
+      - PG_PORT=8100
+      - PG_USER=xxx
+      - PG_PASSWORD=xxx
+      - PG_DB_NAME=xxx
+      - OPENAIKEY=sk-xxxxx
+  nginx: 
+    image: nginx:alpine3.17
+    container_name: nginx
+    restart: always
+    network_mode: host
+    volumes:
+      - /root/fast-gpt/nginx/nginx.conf:/etc/nginx/nginx.conf:ro
+      - /root/fast-gpt/nginx/logs:/var/log/nginx
+      - /root/fast-gpt/nginx/ssl/docgpt.key:/ssl/docgpt.key
+      - /root/fast-gpt/nginx/ssl/docgpt.pem:/ssl/docgpt.pem
+  pg:
+    image: ankane/pgvector
+    container_name: pg
+    restart: always
+    ports:
+      - 8100:5432
+    environment:
+      - POSTGRES_USER=xxx
+      - POSTGRES_PASSWORD=xxx
+      - POSTGRES_DB=xxx
+    volumes:
+      - /root/fast-gpt/pg/data:/var/lib/postgresql/data
+      - /root/fast-gpt/pg/init.sql:/docker-entrypoint-initdb.d/init.sh
+      - /etc/localtime:/etc/localtime:ro
+  mongodb:
+    image: mongo:4.0.1
+    container_name: mongo
+    restart: always
+    ports:
+      - 27017:27017
+    environment:
+      - MONGO_INITDB_ROOT_USERNAME=username
+      - MONGO_INITDB_ROOT_PASSWORD=password
+    volumes:
+      - /root/fast-gpt/mongo/data:/data/db
+      - /root/fast-gpt/mongo/logs:/var/log/mongodb
+      - /etc/localtime:/etc/localtime:ro
 ```
+
+#### 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！"
@@ -220,3 +241,16 @@ do
     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[如何在mac上面部署fastgpt](./docs/mac.md)

deploy/docker-compose.yml

@@ -0,0 +1,66 @@
+version: '3.3'
+services:
+  fast-gpt:
+    image: c121914yu/fast-gpt:latest
+    network_mode: host
+    restart: always
+    container_name: fast-gpt
+    environment:
+      # - AXIOS_PROXY_HOST=127.0.0.1
+      # - AXIOS_PROXY_PORT=7890
+      # - OPENAI_BASE_URL=https://api.openai.com/v1
+      # - OPENAI_BASE_URL_AUTH=可选的安全凭证
+      - MY_MAIL=xxxx@qq.com
+      - MAILE_CODE=xxxx
+      - aliAccessKeyId=xxxx
+      - aliAccessKeySecret=xxxx
+      - aliSignName=xxxxx
+      - aliTemplateCode=SMS_xxxx
+      - TOKEN_KEY=xxxx
+      - queueTask=1
+      - parentUrl=https://hostname/api/openapi/startEvents
+      - MONGODB_URI=mongodb://username:passsword@0.0.0.0:27017/?authSource=admin
+      - MONGODB_NAME=xxx
+      - PG_HOST=0.0.0.0
+      - PG_PORT=8100
+      - PG_USER=xxx
+      - PG_PASSWORD=xxx
+      - PG_DB_NAME=xxx
+      - OPENAIKEY=sk-xxxxx
+  nginx:
+    image: nginx:alpine3.17
+    container_name: nginx
+    restart: always
+    network_mode: host
+    volumes:
+      - /root/fast-gpt/nginx/nginx.conf:/etc/nginx/nginx.conf:ro
+      - /root/fast-gpt/nginx/logs:/var/log/nginx
+      - /root/fast-gpt/nginx/ssl/docgpt.key:/ssl/docgpt.key
+      - /root/fast-gpt/nginx/ssl/docgpt.pem:/ssl/docgpt.pem
+  pg:
+    image: ankane/pgvector
+    container_name: pg
+    restart: always
+    ports:
+      - 8100:5432
+    environment:
+      - POSTGRES_USER=xxx
+      - POSTGRES_PASSWORD=xxx
+      - POSTGRES_DB=xxx
+    volumes:
+      - /root/fast-gpt/pg/data:/var/lib/postgresql/data
+      - /root/fast-gpt/pg/init.sql:/docker-entrypoint-initdb.d/init.sh
+      - /etc/localtime:/etc/localtime:ro
+  mongodb:
+    image: mongo:4.0.1
+    container_name: mongo
+    restart: always
+    ports:
+      - 27017:27017
+    environment:
+      - MONGO_INITDB_ROOT_USERNAME=username
+      - MONGO_INITDB_ROOT_PASSWORD=password
+    volumes:
+      - /root/fast-gpt/mongo/data:/data/db
+      - /root/fast-gpt/mongo/logs:/var/log/mongodb
+      - /etc/localtime:/etc/localtime:ro

deploy/nginx/nginx.conf

@@ -0,0 +1,49 @@
+user nginx;
+worker_processes auto;
+worker_rlimit_nofile 51200;
+
+events {
+    worker_connections 1024;
+}
+
+http {
+    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 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;
+    }
+}

deploy/pg/init.sql

@@ -0,0 +1,19 @@
+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) NOT NULL,
+    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_modelId_index ON modelData USING HASH (model_id);
+EOSQL

deploy/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=$(docker images --format "{{.ID}} {{.Repository}}" | grep fast-gpt)
+
+# 将镜像 ID 和名称放入数组中
+IFS=$'\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/mac.md

@@ -0,0 +1,100 @@
+## 怎么在mac上面部署fastgpt
+
+### 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
+
+```
+➜  fast-gpt pwd
+/Users/jie/fast-gpt
+➜  fast-gpt 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fast-gpt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 ~/fast-gpt/mongo/data:/data/db -d mongo:4.0.1
+```
+
+**3、部署pgsql**
+
+```
+docker run -it --name pg -e "POSTGRES_PASSWORD=xxx" -e POSTGRES_USER=xxx -p 8100:5432 -v ~/fast-gpt/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 (modelId);
+CREATE INDEX modelData_userId_index ON modelData (userId);
+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/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/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/proxy/nginx.md

@@ -0,0 +1,72 @@
+# 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 ($http_authkey != "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;
+    }
+}
+```

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

@@ -16,6 +16,8 @@
     "@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",
@@ -27,7 +29,7 @@
     "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",

pnpm-lock.yaml

@@ -6,6 +6,8 @@ specifiers:
   '@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
@@ -31,7 +33,7 @@ specifiers:
   eventsource-parser: ^0.1.0
   formidable: ^2.1.1
   framer-motion: ^9.0.6
-  gpt-token-utils: ^1.2.0
+  graphemer: ^1.4.0
   husky: ^8.0.3
   hyperdown: ^2.4.29
   immer: ^9.0.19
@@ -68,8 +70,10 @@ dependencies:
   '@alicloud/dysmsapi20170525': registry.npmmirror.com/@alicloud/dysmsapi20170525/2.0.23
   '@alicloud/openapi-client': registry.npmmirror.com/@alicloud/openapi-client/0.4.5
   '@alicloud/tea-util': registry.npmmirror.com/@alicloud/tea-util/1.4.5
-  '@chakra-ui/icons': registry.npmmirror.com/@chakra-ui/icons/2.0.17_react@18.2.0
+  '@chakra-ui/icons': registry.npmmirror.com/@chakra-ui/icons/2.0.17_lze4h7kxffpjhokvtqbtrlfkmq
   '@chakra-ui/react': registry.npmmirror.com/@chakra-ui/react/2.5.1_e6pzu3hsaqmql4fl7jx73ckiym
+  '@chakra-ui/system': registry.npmmirror.com/@chakra-ui/system/2.5.5_xqp3pgpqjlfxxa3zxu4zoc4fba
+  '@dqbd/tiktoken': registry.npmmirror.com/@dqbd/tiktoken/1.0.6
   '@emotion/react': registry.npmmirror.com/@emotion/react/11.10.6_pmekkgnqduwlme35zpnqhenc34
   '@emotion/styled': registry.npmmirror.com/@emotion/styled/11.10.6_oouaibmszuch5k64ms7uxp2aia
   '@next/font': registry.npmmirror.com/@next/font/13.1.6
@@ -81,7 +85,7 @@ dependencies:
   eventsource-parser: registry.npmmirror.com/eventsource-parser/0.1.0
   formidable: registry.npmmirror.com/formidable/2.1.1
   framer-motion: registry.npmmirror.com/framer-motion/9.0.6_biqbaboplfbrettd7655fr4n2y
-  gpt-token-utils: registry.npmmirror.com/gpt-token-utils/1.2.0
+  graphemer: registry.npmmirror.com/graphemer/1.4.0
   hyperdown: registry.npmmirror.com/hyperdown/2.4.29
   immer: registry.npmmirror.com/immer/9.0.19
   jsonwebtoken: registry.npmmirror.com/jsonwebtoken/9.0.0
@@ -3085,6 +3089,20 @@ packages:
       react: registry.npmmirror.com/react/18.2.0
     dev: false
 
+  registry.npmmirror.com/@chakra-ui/icon/3.0.16_lze4h7kxffpjhokvtqbtrlfkmq:
+    resolution: {integrity: sha512-RpA1X5Ptz8Mt39HSyEIW1wxAz2AXyf9H0JJ5HVx/dBdMZaGMDJ0HyyPBVci0m4RCoJuyG1HHG/DXJaVfUTVAeg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@chakra-ui/icon/-/icon-3.0.16.tgz}
+    id: registry.npmmirror.com/@chakra-ui/icon/3.0.16
+    name: '@chakra-ui/icon'
+    version: 3.0.16
+    peerDependencies:
+      '@chakra-ui/system': '>=2.0.0'
+      react: '>=18'
+    dependencies:
+      '@chakra-ui/shared-utils': registry.npmmirror.com/@chakra-ui/shared-utils/2.0.5
+      '@chakra-ui/system': registry.npmmirror.com/@chakra-ui/system/2.5.5_xqp3pgpqjlfxxa3zxu4zoc4fba
+      react: registry.npmmirror.com/react/18.2.0
+    dev: false
+
   registry.npmmirror.com/@chakra-ui/icon/3.0.16_n3dxrjldmk5gnycgnw7noyo5tu:
     resolution: {integrity: sha512-RpA1X5Ptz8Mt39HSyEIW1wxAz2AXyf9H0JJ5HVx/dBdMZaGMDJ0HyyPBVci0m4RCoJuyG1HHG/DXJaVfUTVAeg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@chakra-ui/icon/-/icon-3.0.16.tgz}
     id: registry.npmmirror.com/@chakra-ui/icon/3.0.16
@@ -3099,20 +3117,7 @@ packages:
       react: registry.npmmirror.com/react/18.2.0
     dev: false
 
-  registry.npmmirror.com/@chakra-ui/icon/3.0.16_react@18.2.0:
-    resolution: {integrity: sha512-RpA1X5Ptz8Mt39HSyEIW1wxAz2AXyf9H0JJ5HVx/dBdMZaGMDJ0HyyPBVci0m4RCoJuyG1HHG/DXJaVfUTVAeg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@chakra-ui/icon/-/icon-3.0.16.tgz}
-    id: registry.npmmirror.com/@chakra-ui/icon/3.0.16
-    name: '@chakra-ui/icon'
-    version: 3.0.16
-    peerDependencies:
-      '@chakra-ui/system': '>=2.0.0'
-      react: '>=18'
-    dependencies:
-      '@chakra-ui/shared-utils': registry.npmmirror.com/@chakra-ui/shared-utils/2.0.5
-      react: registry.npmmirror.com/react/18.2.0
-    dev: false
-
-  registry.npmmirror.com/@chakra-ui/icons/2.0.17_react@18.2.0:
+  registry.npmmirror.com/@chakra-ui/icons/2.0.17_lze4h7kxffpjhokvtqbtrlfkmq:
     resolution: {integrity: sha512-HMJP0WrJgAmFR9+Xh/CBH0nVnGMsJ4ZC8MK6tMgxPKd9/muvn0I4hsicHqdPlLpmB0TlxlhkBAKaVMtOdz6F0w==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@chakra-ui/icons/-/icons-2.0.17.tgz}
     id: registry.npmmirror.com/@chakra-ui/icons/2.0.17
     name: '@chakra-ui/icons'
@@ -3121,7 +3126,8 @@ packages:
       '@chakra-ui/system': '>=2.0.0'
       react: '>=18'
     dependencies:
-      '@chakra-ui/icon': registry.npmmirror.com/@chakra-ui/icon/3.0.16_react@18.2.0
+      '@chakra-ui/icon': registry.npmmirror.com/@chakra-ui/icon/3.0.16_lze4h7kxffpjhokvtqbtrlfkmq
+      '@chakra-ui/system': registry.npmmirror.com/@chakra-ui/system/2.5.5_xqp3pgpqjlfxxa3zxu4zoc4fba
       react: registry.npmmirror.com/react/18.2.0
     dev: false
 
@@ -3868,6 +3874,16 @@ packages:
       lodash.mergewith: registry.npmmirror.com/lodash.mergewith/4.6.2
     dev: false
 
+  registry.npmmirror.com/@chakra-ui/styled-system/2.8.0:
+    resolution: {integrity: sha512-bmRv/8ACJGGKGx84U1npiUddwdNifJ+/ETklGwooS5APM0ymwUtBYZpFxjYNJrqvVYpg3mVY6HhMyBVptLS7iA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@chakra-ui/styled-system/-/styled-system-2.8.0.tgz}
+    name: '@chakra-ui/styled-system'
+    version: 2.8.0
+    dependencies:
+      '@chakra-ui/shared-utils': registry.npmmirror.com/@chakra-ui/shared-utils/2.0.5
+      csstype: registry.npmmirror.com/csstype/3.1.1
+      lodash.mergewith: registry.npmmirror.com/lodash.mergewith/4.6.2
+    dev: false
+
   registry.npmmirror.com/@chakra-ui/switch/2.0.22_6k64q2ggygf5zznlgufl3vff54:
     resolution: {integrity: sha512-+/Yy6y7VFD91uSPruF8ZvePi3tl5D8UNVATtWEQ+QBI92DLSM+PtgJ2F0Y9GMZ9NzMxpZ80DqwY7/kqcPCfLvw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@chakra-ui/switch/-/switch-2.0.22.tgz}
     id: registry.npmmirror.com/@chakra-ui/switch/2.0.22
@@ -3907,6 +3923,28 @@ packages:
       react-fast-compare: registry.npmmirror.com/react-fast-compare/3.2.0
     dev: false
 
+  registry.npmmirror.com/@chakra-ui/system/2.5.5_xqp3pgpqjlfxxa3zxu4zoc4fba:
+    resolution: {integrity: sha512-52BIp/Zyvefgxn5RTByfkTeG4J+y81LWEjWm8jCaRFsLVm8IFgqIrngtcq4I7gD5n/UKbneHlb4eLHo4uc5yDQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@chakra-ui/system/-/system-2.5.5.tgz}
+    id: registry.npmmirror.com/@chakra-ui/system/2.5.5
+    name: '@chakra-ui/system'
+    version: 2.5.5
+    peerDependencies:
+      '@emotion/react': ^11.0.0
+      '@emotion/styled': ^11.0.0
+      react: '>=18'
+    dependencies:
+      '@chakra-ui/color-mode': registry.npmmirror.com/@chakra-ui/color-mode/2.1.12_react@18.2.0
+      '@chakra-ui/object-utils': registry.npmmirror.com/@chakra-ui/object-utils/2.0.8
+      '@chakra-ui/react-utils': registry.npmmirror.com/@chakra-ui/react-utils/2.0.12_react@18.2.0
+      '@chakra-ui/styled-system': registry.npmmirror.com/@chakra-ui/styled-system/2.8.0
+      '@chakra-ui/theme-utils': registry.npmmirror.com/@chakra-ui/theme-utils/2.0.15
+      '@chakra-ui/utils': registry.npmmirror.com/@chakra-ui/utils/2.0.15
+      '@emotion/react': registry.npmmirror.com/@emotion/react/11.10.6_pmekkgnqduwlme35zpnqhenc34
+      '@emotion/styled': registry.npmmirror.com/@emotion/styled/11.10.6_oouaibmszuch5k64ms7uxp2aia
+      react: registry.npmmirror.com/react/18.2.0
+      react-fast-compare: registry.npmmirror.com/react-fast-compare/3.2.1
+    dev: false
+
   registry.npmmirror.com/@chakra-ui/table/2.0.16_n3dxrjldmk5gnycgnw7noyo5tu:
     resolution: {integrity: sha512-vWDXZ6Ad3Aj66curp1tZBHvCfQHX2FJ4ijLiqGgQszWFIchfhJ5vMgEBJaFMZ+BN1draAjuRTZqaQefOApzvRg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@chakra-ui/table/-/table-2.0.16.tgz}
     id: registry.npmmirror.com/@chakra-ui/table/2.0.16
@@ -3988,6 +4026,20 @@ packages:
       color2k: registry.npmmirror.com/color2k/2.0.2
     dev: false
 
+  registry.npmmirror.com/@chakra-ui/theme-tools/2.0.17_wv7sq5bj4kx5i3evdevscgumbi:
+    resolution: {integrity: sha512-Auu38hnihlJZQcPok6itRDBbwof3TpXGYtDPnOvrq4Xp7jnab36HLt7KEXSDPXbtOk3ZqU99pvI1en5LbDrdjg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@chakra-ui/theme-tools/-/theme-tools-2.0.17.tgz}
+    id: registry.npmmirror.com/@chakra-ui/theme-tools/2.0.17
+    name: '@chakra-ui/theme-tools'
+    version: 2.0.17
+    peerDependencies:
+      '@chakra-ui/styled-system': '>=2.0.0'
+    dependencies:
+      '@chakra-ui/anatomy': registry.npmmirror.com/@chakra-ui/anatomy/2.1.2
+      '@chakra-ui/shared-utils': registry.npmmirror.com/@chakra-ui/shared-utils/2.0.5
+      '@chakra-ui/styled-system': registry.npmmirror.com/@chakra-ui/styled-system/2.8.0
+      color2k: registry.npmmirror.com/color2k/2.0.2
+    dev: false
+
   registry.npmmirror.com/@chakra-ui/theme-utils/2.0.11:
     resolution: {integrity: sha512-lBAay6Sq3/fl7exd3mFxWAbzgdQowytor0fnlHrpNStn1HgFjXukwsf6356XQOie2Vd8qaMM7qZtMh4AiC0dcg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@chakra-ui/theme-utils/-/theme-utils-2.0.11.tgz}
     name: '@chakra-ui/theme-utils'
@@ -3999,6 +4051,17 @@ packages:
       lodash.mergewith: registry.npmmirror.com/lodash.mergewith/4.6.2
     dev: false
 
+  registry.npmmirror.com/@chakra-ui/theme-utils/2.0.15:
+    resolution: {integrity: sha512-UuxtEgE7gwMTGDXtUpTOI7F5X0iHB9ekEOG5PWPn2wWBL7rlk2JtPI7UP5Um5Yg6vvBfXYGK1ySahxqsgf+87g==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@chakra-ui/theme-utils/-/theme-utils-2.0.15.tgz}
+    name: '@chakra-ui/theme-utils'
+    version: 2.0.15
+    dependencies:
+      '@chakra-ui/shared-utils': registry.npmmirror.com/@chakra-ui/shared-utils/2.0.5
+      '@chakra-ui/styled-system': registry.npmmirror.com/@chakra-ui/styled-system/2.8.0
+      '@chakra-ui/theme': registry.npmmirror.com/@chakra-ui/theme/3.0.1_wv7sq5bj4kx5i3evdevscgumbi
+      lodash.mergewith: registry.npmmirror.com/lodash.mergewith/4.6.2
+    dev: false
+
   registry.npmmirror.com/@chakra-ui/theme/2.2.5_es2flcfvdj7o2v4vs237ptvmhy:
     resolution: {integrity: sha512-hYASZMwu0NqEv6PPydu+F3I+kMNd44yR4TwjR/lXBz/LEh64L6UPY6kQjebCfgdVtsGdl3HKg+eLlfa7SvfRgw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@chakra-ui/theme/-/theme-2.2.5.tgz}
     id: registry.npmmirror.com/@chakra-ui/theme/2.2.5
@@ -4013,6 +4076,20 @@ packages:
       '@chakra-ui/theme-tools': registry.npmmirror.com/@chakra-ui/theme-tools/2.0.17_es2flcfvdj7o2v4vs237ptvmhy
     dev: false
 
+  registry.npmmirror.com/@chakra-ui/theme/3.0.1_wv7sq5bj4kx5i3evdevscgumbi:
+    resolution: {integrity: sha512-92kDm/Ux/51uJqhRKevQo/O/rdwucDYcpHg2QuwzdAxISCeYvgtl2TtgOOl5EnqEP0j3IEAvZHZUlv8TTbawaw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@chakra-ui/theme/-/theme-3.0.1.tgz}
+    id: registry.npmmirror.com/@chakra-ui/theme/3.0.1
+    name: '@chakra-ui/theme'
+    version: 3.0.1
+    peerDependencies:
+      '@chakra-ui/styled-system': '>=2.0.0'
+    dependencies:
+      '@chakra-ui/anatomy': registry.npmmirror.com/@chakra-ui/anatomy/2.1.2
+      '@chakra-ui/shared-utils': registry.npmmirror.com/@chakra-ui/shared-utils/2.0.5
+      '@chakra-ui/styled-system': registry.npmmirror.com/@chakra-ui/styled-system/2.8.0
+      '@chakra-ui/theme-tools': registry.npmmirror.com/@chakra-ui/theme-tools/2.0.17_wv7sq5bj4kx5i3evdevscgumbi
+    dev: false
+
   registry.npmmirror.com/@chakra-ui/toast/6.0.1_jgj3ekl54faqnu3nlobnfmds2q:
     resolution: {integrity: sha512-ej2kJXvu/d2h6qnXU5D8XTyw0qpsfmbiU7hUffo/sPxkz89AUOQ08RUuUmB1ssW/FZcQvNMJ5WgzCTKHGBxtxw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@chakra-ui/toast/-/toast-6.0.1.tgz}
     id: registry.npmmirror.com/@chakra-ui/toast/6.0.1
@@ -4101,6 +4178,12 @@ packages:
       react: registry.npmmirror.com/react/18.2.0
     dev: false
 
+  registry.npmmirror.com/@dqbd/tiktoken/1.0.6:
+    resolution: {integrity: sha512-umSdeZTy/SbPPKVuZKV/XKyFPmXSN145CcM3iHjBbmhlohBJg7vaDp4cPCW+xNlWL6L2U1sp7T2BD+di2sUKdA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@dqbd/tiktoken/-/tiktoken-1.0.6.tgz}
+    name: '@dqbd/tiktoken'
+    version: 1.0.6
+    dev: false
+
   registry.npmmirror.com/@emotion/babel-plugin/11.10.6:
     resolution: {integrity: sha512-p2dAqtVrkhSa7xz1u/m9eHYdLi+en8NowrmXeF/dKtJpU8lCWli8RUAati7NcSl0afsBott48pdnANuD0wh9QQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@emotion/babel-plugin/-/babel-plugin-11.10.6.tgz}
     name: '@emotion/babel-plugin'
@@ -7583,12 +7666,6 @@ packages:
       get-intrinsic: registry.npmmirror.com/get-intrinsic/1.2.0
     dev: true
 
-  registry.npmmirror.com/gpt-token-utils/1.2.0:
-    resolution: {integrity: sha512-s8twaU38UE2Vp65JhQEjz8qvWhWY8KZYvmvYHapxlPT03Ok35Clq+gm9eE27wQILdFisseMVRSiC5lJR9GBklA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/gpt-token-utils/-/gpt-token-utils-1.2.0.tgz}
-    name: gpt-token-utils
-    version: 1.2.0
-    dev: false
-
   registry.npmmirror.com/graceful-fs/4.2.10:
     resolution: {integrity: sha512-9ByhssR2fPVsNZj478qUUbKfmL0+t5BDVyjShtyZZLiK7ZDAArFFfopyOTj0M05wE2tJPisA4iTnnXl2YoPvOA==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/graceful-fs/-/graceful-fs-4.2.10.tgz}
     name: graceful-fs
@@ -7600,6 +7677,12 @@ packages:
     version: 1.0.4
     dev: true
 
+  registry.npmmirror.com/graphemer/1.4.0:
+    resolution: {integrity: sha512-EtKwoO6kxCL9WO5xipiHTZlSzBm7WLT627TqC/uVRd0HKmq8NXyebnNYxDoBi7wt8eTWrUrKXCOVaFq9x1kgag==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/graphemer/-/graphemer-1.4.0.tgz}
+    name: graphemer
+    version: 1.4.0
+    dev: false
+
   registry.npmmirror.com/has-bigints/1.0.2:
     resolution: {integrity: sha512-tSvCKtBr9lkF0Ex0aQiP9N+OpV4zi2r/Nee5VkRDbaqv35RLYMzbwQfFSZZH0kR+Rd6302UJZ2p/bJCEoR3VoQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/has-bigints/-/has-bigints-1.0.2.tgz}
     name: has-bigints
@@ -10182,6 +10265,12 @@ packages:
     version: 3.2.0
     dev: false
 
+  registry.npmmirror.com/react-fast-compare/3.2.1:
+    resolution: {integrity: sha512-xTYf9zFim2pEif/Fw16dBiXpe0hoy5PxcD8+OwBnTtNLfIm3g6WxhKNurY+6OmdH1u6Ta/W/Vl6vjbYP1MFnDg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/react-fast-compare/-/react-fast-compare-3.2.1.tgz}
+    name: react-fast-compare
+    version: 3.2.1
+    dev: false
+
   registry.npmmirror.com/react-focus-lock/2.9.4_pmekkgnqduwlme35zpnqhenc34:
     resolution: {integrity: sha512-7pEdXyMseqm3kVjhdVH18sovparAzLg5h6WvIx7/Ck3ekjhrrDMEegHSa3swwC8wgfdd7DIdUVRGeiHT9/7Sgg==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/react-focus-lock/-/react-focus-lock-2.9.4.tgz}
     id: registry.npmmirror.com/react-focus-lock/2.9.4

public/docs/chatProblem.md

@@ -1,9 +1,10 @@
-## 常见问题
+### 常见问题
+**请求次数太多了**
+一般是因为自己的 openai 账号异常。请先检查自己的账号是否正常使用。
 **内容长度**
 chatgpt 上下文最长 4096 tokens,  上下文超长时会报错。
-
 **删除和复制**
-点击对话头像，可以选择复制或删除该条内容。
-
+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。
 **代理出错**
-服务器代理不稳定，可以过一会儿再尝试。 
+服务器代理不稳定，可以过一会儿再尝试。 或者可以访问国外服务器: [FastGpt](https://fastgpt.run/)

public/docs/intro.md

@@ -15,6 +15,16 @@ wx号: fastgpt123
 4. 进入模型页，创建一个模型，建议直接用 ChatGPT。    
 5. 在模型列表点击【对话】，即可使用 API 进行聊天。  
 
+### 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。单纯使用 chatGPT 模型进行对话，只有一个计费项目。使用知识库时，包含**对话**和**索引**生成两个计费项。
+| 计费项 | 价格: 元/ 1K tokens（包含上下文）|
+| --- | --- | 
+| chatgpt - 对话 | 0.03 |
+| 知识库 - 对话 | 0.03 |
+| 知识库 - 索引 | 0.004 |
+| 文件拆分 | 0.03 |
+
+
 ### 定制 prompt
 
 1. 进入模型编辑页  
@@ -29,12 +39,3 @@ wx号: fastgpt123
 4. 使用该模型对话。  
 
 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。单纯使用 chatGPT 模型进行对话，只有一个计费项目。使用知识库时，包含**对话**和**索引**生成两个计费项。
-| 计费项 | 价格: 元/ 1K tokens（包含上下文）|
-| --- | --- | 
-| chatgpt - 对话 | 0.03 |
-| 知识库 - 对话 | 0.03 |
-| 知识库 - 索引 | 0.004 |
-| 文件拆分 | 0.03 |

public/docs/versionIntro.md

@@ -1,3 +1,6 @@
-## Fast GPT V2.7
-* FastGpt Api 允许你将 Fast Gpt 的部分功能通过 api 的形式，将知识库接入到自己的应用中，例如：飞书、企业微信、客服助手.
-* 通过 csv 文件导入和导出你的问答对。你可以将你的 csv 文件放置在飞书文档上，以便团队共享。
+### Fast GPT V3.0
+
+- 新增 - 模型共享市场，可以使用其他用户分享的模型。
+- 新增 - 邀请好友注册功能。
+- 优化 - 选择文件，采用链式处理，避免卡死。
+- 修复 - 导入时分段问题。

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) {

src/api/chat.ts

@@ -1,41 +1,32 @@
 import { GET, POST, DELETE } from './request';
-import type { ChatItemType, ChatSiteItemType } from '@/types/chat';
+import type { ChatItemType } from '@/types/chat';
 import type { InitChatResponse } from './response/chat';
 
-/**
- * 获取一个聊天框的ID
- */
-export const getChatSiteId = (modelId: string) => GET<string>(`/chat/generate?modelId=${modelId}`);
-
 /**
  * 获取初始化聊天内容
  */
-export const getInitChatSiteInfo = (chatId: string) =>
-  GET<InitChatResponse>(`/chat/init?chatId=${chatId}`);
+export const getInitChatSiteInfo = (modelId: string, chatId: '' | string) =>
+  GET<InitChatResponse>(`/chat/init?modelId=${modelId}&chatId=${chatId}`);
 
 /**
- * 发送 GPT3 prompt
+ * 获取历史记录
  */
-export const postGPT3SendPrompt = ({
-  chatId,
-  prompt
-}: {
-  prompt: ChatSiteItemType[];
-  chatId: string;
-}) =>
-  POST<string>(`/chat/gpt3`, {
-    chatId,
-    prompt: prompt.map((item) => ({
-      obj: item.obj,
-      value: item.value
-    }))
-  });
+export const getChatHistory = () =>
+  GET<{ _id: string; title: string; modelId: string }[]>('/chat/getHistory');
+
+/**
+ * 删除一条历史记录
+ */
+export const delChatHistoryById = (id: string) => GET(`/chat/removeHistory?id=${id}`);
 
 /**
  * 存储一轮对话
  */
-export const postSaveChat = (data: { chatId: string; prompts: ChatItemType[] }) =>
-  POST('/chat/saveChat', data);
+export const postSaveChat = (data: {
+  modelId: string;
+  chatId: '' | string;
+  prompts: ChatItemType[];
+}) => POST<string>('/chat/saveChat', data);
 
 /**
  * 删除一句对话

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

@@ -6,7 +6,7 @@ interface StreamFetchProps {
   abortSignal: AbortController;
 }
 export const streamFetch = ({ url, data, onMessage, abortSignal }: StreamFetchProps) =>
-  new Promise(async (resolve, reject) => {
+  new Promise<string>(async (resolve, reject) => {
     try {
       const res = await fetch(url, {
         method: 'POST',
@@ -23,26 +23,30 @@ export const streamFetch = ({ url, data, onMessage, abortSignal }: StreamFetchPr
       let responseText = '';
 
       const read = async () => {
-        const { done, value } = await reader?.read();
-        if (done) {
-          if (res.status === 200) {
-            resolve(responseText);
-          } else {
-            try {
+        try {
+          const { done, value } = await reader?.read();
+          if (done) {
+            if (res.status === 200) {
+              resolve(responseText);
+            } else {
               const parseError = JSON.parse(responseText);
               reject(parseError?.message || '请求异常');
-            } catch (err) {
-              reject('请求异常');
             }
-          }
 
-          return;
+            return;
+          }
+          const text = decoder.decode(value).replace(/<br\/>/g, '\n');
+          res.status === 200 && onMessage(text);
+          responseText += text;
+          read();
+        } catch (err: any) {
+          if (err?.message === 'The user aborted a request.') {
+            return resolve(responseText);
+          }
+          reject(typeof err === 'string' ? err : err?.message || '请求异常');
         }
-        const text = decoder.decode(value).replace(/<br\/>/g, '\n');
-        res.status === 200 && onMessage(text);
-        responseText += text;
-        read();
       };
+
       read();
     } catch (err: any) {
       console.log(err, '====');

src/api/model.ts

@@ -1,7 +1,6 @@
 import { GET, POST, DELETE, PUT } from './request';
-import type { ModelSchema, ModelDataSchema, ModelSplitDataSchema } from '@/types/mongoSchema';
-import { ModelUpdateParams } from '@/types/model';
-import { TrainingItemType } from '../types/training';
+import type { ModelSchema, ModelDataSchema } from '@/types/mongoSchema';
+import { ModelUpdateParams, ShareModelItem } from '@/types/model';
 import { RequestPaging } from '../types/index';
 import { Obj2Query } from '@/utils/tools';
 
@@ -32,21 +31,7 @@ export const getModelById = (id: string) => GET<ModelSchema>(`/model/detail?mode
 export const putModelById = (id: string, data: ModelUpdateParams) =>
   PUT(`/model/update?modelId=${id}`, data);
 
-export const postTrainModel = (id: string, form: FormData) =>
-  POST(`/model/train/train?modelId=${id}`, form, {
-    headers: {
-      'content-type': 'multipart/form-data'
-    }
-  });
-
-export const putModelTrainingStatus = (id: string) =>
-  PUT(`/model/train/putTrainStatus?modelId=${id}`);
-
-export const getModelTrainings = (id: string) =>
-  GET<TrainingItemType[]>(`/model/train/getTrainings?modelId=${id}`);
-
 /* 模型 data */
-
 type GetModelDataListProps = RequestPaging & {
   modelId: string;
   searchText: string;
@@ -85,8 +70,12 @@ export const postModelDataInput = (data: {
 /**
  * 拆分数据
  */
-export const postModelDataSplitData = (data: { modelId: string; text: string; prompt: string }) =>
-  POST(`/model/data/splitData`, data);
+export const postModelDataSplitData = (data: {
+  modelId: string;
+  chunks: string[];
+  prompt: string;
+  mode: 'qa' | 'subsection';
+}) => POST(`/model/data/splitData`, data);
 
 /**
  * json导入数据
@@ -104,3 +93,19 @@ export const putModelDataById = (data: { dataId: string; a: string; q?: string }
  */
 export const delOneModelData = (dataId: string) =>
   DELETE(`/model/data/delModelDataById?dataId=${dataId}`);
+
+/* 共享市场 */
+/**
+ * 获取共享市场模型
+ */
+export const getShareModelList = (data: { searchText?: string } & RequestPaging) =>
+  POST(`/model/share/getModels`, data);
+/**
+ * 获取收藏的模型
+ */
+export const getCollectionModels = () => GET<ShareModelItem[]>(`/model/share/getCollection`);
+/**
+ * 收藏/取消收藏模型
+ */
+export const triggerModelCollection = (modelId: string) =>
+  POST<number>(`/model/share/collection?modelId=${modelId}`);

src/api/request.ts

@@ -1,6 +1,6 @@
 import axios, { Method, InternalAxiosRequestConfig, AxiosResponse } from 'axios';
 import { getToken, clearToken } from '@/utils/user';
-import { TOKEN_ERROR_CODE } from '@/constants/responseCode';
+import { TOKEN_ERROR_CODE } from '@/service/errorCode';
 
 interface ConfigType {
   headers?: { [key: string]: string };

src/api/response/user.d.ts

@@ -1,5 +1,13 @@
 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/user.ts

@@ -1,6 +1,6 @@
 import { GET, POST, PUT } from './request';
 import { createHashPassword, Obj2Query } from '@/utils/tools';
-import { ResLogin } from './response/user';
+import { ResLogin, PromotionRecordType } from './response/user';
 import { UserAuthTypeEnum } from '@/constants/common';
 import { UserType, UserUpdateParams } from '@/types/user';
 import type { PagingData, RequestPaging } from '@/types';
@@ -17,6 +17,14 @@ export const sendAuthCode = ({
 
 export const getTokenLogin = () => GET<UserType>('/user/tokenLogin');
 
+/* get promotion init data */
+export const getPromotionInitData = () =>
+  GET<{
+    invitedAmount: number;
+    historyAmount: number;
+    residueAmount: number;
+  }>('/user/promotion/getPromotionData');
+
 export const postRegister = ({
   username,
   password,
@@ -73,3 +81,7 @@ 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/Icon/icons/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>

src/components/Icon/icons/collectionLight.svg

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src/components/Icon/icons/collectionSolid.svg

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

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src/components/Icon/icons/delete.svg

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src/components/Icon/icons/history.svg

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src/components/Icon/icons/promotion.svg

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src/components/Icon/icons/shareMarket.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="1682599933100" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="5707" xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="128"><path d="M750.592 668.7232a159.6416 159.6416 0 0 0-128.4608 64.9216l-269.568-138.24a159.3344 159.3344 0 0 0 17.0496-128.6656l261.12-136.704a159.4368 159.4368 0 1 0-31.1296-53.0432L341.1456 412.3648a159.7952 159.7952 0 1 0-32.256 229.7856l286.72 146.9952a159.7952 159.7952 0 1 0 154.88-120.4224z m0-542.72a98.3552 98.3552 0 1 1-98.3552 98.3552 98.4576 98.4576 0 0 1 98.3552-98.304z m-534.2208 484.352A98.3552 98.3552 0 1 1 314.7264 512a98.4576 98.4576 0 0 1-98.3552 98.3552zM750.592 926.72a98.3552 98.3552 0 1 1 98.3552-98.3552A98.4576 98.4576 0 0 1 750.592 926.72z" p-id="5708"></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/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/index.tsx

@@ -13,14 +13,30 @@ const map = {
   board: require('./icons/board.svg').default,
   develop: require('./icons/develop.svg').default,
   user: require('./icons/user.svg').default,
-  chatting: require('./icons/chatting.svg').default
+  promotion: require('./icons/promotion.svg').default,
+  delete: require('./icons/delete.svg').default,
+  withdraw: require('./icons/withdraw.svg').default,
+  dbModel: require('./icons/dbModel.svg').default,
+  history: require('./icons/history.svg').default,
+  stop: require('./icons/stop.svg').default,
+  shareMarket: require('./icons/shareMarket.svg').default,
+  collectionLight: require('./icons/collectionLight.svg').default,
+  collectionSolid: require('./icons/collectionSolid.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

@@ -7,7 +7,8 @@ import { useQuery } from '@tanstack/react-query';
 
 const unAuthPage: { [key: string]: boolean } = {
   '/': true,
-  '/login': true
+  '/login': true,
+  '/model/share': true
 };
 
 const Auth = ({ children }: { children: JSX.Element }) => {
@@ -33,7 +34,9 @@ const Auth = ({ children }: { children: JSX.Element }) => {
     {
       onError(error) {
         console.log('error->', error);
-        router.push('/login');
+        router.replace(
+          `/login?lastRoute=${encodeURIComponent(location.pathname + location.search)}`
+        );
         toast();
       },
       onSettled() {

src/components/Layout/index.tsx

@@ -20,18 +20,31 @@ const navbarList = [
     link: '/',
     activeLink: ['/']
   },
+  {
+    label: '共享',
+    icon: 'shareMarket',
+    link: '/model/share',
+    activeLink: ['/model/share']
+  },
   {
     label: '模型',
     icon: 'model',
     link: '/model/list',
     activeLink: ['/model/list', '/model/detail']
   },
+
   {
     label: '账号',
     icon: 'user',
     link: '/number/setting',
     activeLink: ['/number/setting']
   },
+  {
+    label: '邀请',
+    icon: 'promotion',
+    link: '/promotion',
+    activeLink: ['/promotion']
+  },
   {
     label: '开发',
     icon: 'develop',

src/components/Markdown/index.tsx

@@ -1,4 +1,4 @@
-import React, { memo, useMemo } from 'react';
+import React, { memo } from 'react';
 import ReactMarkdown from 'react-markdown';
 import { Prism as SyntaxHighlighter } from 'react-syntax-highlighter';
 import { Box, Flex, useColorModeValue } from '@chakra-ui/react';
@@ -13,7 +13,6 @@ import styles from './index.module.scss';
 import { codeLight } from './codeLight';
 
 const Markdown = ({ source, isChatting = false }: { source: string; isChatting?: boolean }) => {
-  const formatSource = useMemo(() => source, [source]);
   const { copyData } = useCopyData();
 
   return (
@@ -63,7 +62,7 @@ const Markdown = ({ source, isChatting = false }: { source: string; isChatting?:
       }}
       linkTarget="_blank"
     >
-      {formatSource}
+      {source}
     </ReactMarkdown>
   );
 };

src/components/Radio/index.tsx

@@ -0,0 +1,52 @@
+import React from 'react';
+import { Stack, Box, Flex, useTheme } from '@chakra-ui/react';
+import type { StackProps } from '@chakra-ui/react';
+
+// @ts-ignore
+interface Props extends StackProps {
+  list: { label: string; value: string | number }[];
+  value: string | number;
+  onChange: (e: string | number) => void;
+}
+
+const Radio = ({ list, value, onChange, ...props }: Props) => {
+  return (
+    <Stack {...props} spacing={5} direction={'row'}>
+      {list.map((item) => (
+        <Flex
+          key={item.value}
+          alignItems={'center'}
+          cursor={'pointer'}
+          userSelect={'none'}
+          _before={{
+            content: '""',
+            w: '16px',
+            h: '16px',
+            mr: 1,
+            borderRadius: '16px',
+            transition: '0.2s',
+            ...(value === item.value
+              ? {
+                  border: '5px solid',
+                  borderColor: 'blue.500'
+                }
+              : {
+                  border: '2px solid',
+                  borderColor: 'gray.200'
+                })
+          }}
+          _hover={{
+            _before: {
+              borderColor: 'blue.400'
+            }
+          }}
+          onClick={() => onChange(item.value)}
+        >
+          {item.label}
+        </Flex>
+      ))}
+    </Stack>
+  );
+};
+
+export default Radio;

src/constants/data.ts

@@ -1,6 +0,0 @@
-import type { DataType } from '@/types/data';
-
-export const DataTypeTextMap: Record<DataType, string> = {
-  QA: '问答拆分',
-  abstract: '摘要总结'
-};

src/constants/model.ts

@@ -1,28 +1,27 @@
-import type { ServiceName, ModelDataType, ModelSchema } from '@/types/mongoSchema';
+import type { ModelSchema } from '@/types/mongoSchema';
 
-export enum ModelDataStatusEnum {
-  ready = 'ready',
-  waiting = 'waiting'
+export const embeddingModel = 'text-embedding-ada-002';
+export enum ChatModelEnum {
+  'GPT35' = 'gpt-3.5-turbo',
+  'GPT4' = 'gpt-4',
+  'GPT432k' = 'gpt-4-32k'
 }
 
-export enum ChatModelNameEnum {
+export enum ModelNameEnum {
   GPT35 = 'gpt-3.5-turbo',
-  VECTOR_GPT = 'VECTOR_GPT',
-  VECTOR = 'text-embedding-ada-002'
+  VECTOR_GPT = 'VECTOR_GPT'
 }
 
-export const ChatModelNameMap = {
-  [ChatModelNameEnum.GPT35]: 'gpt-3.5-turbo',
-  [ChatModelNameEnum.VECTOR_GPT]: 'gpt-3.5-turbo',
-  [ChatModelNameEnum.VECTOR]: 'text-embedding-ada-002'
+export const Model2ChatModelMap: Record<`${ModelNameEnum}`, `${ChatModelEnum}`> = {
+  [ModelNameEnum.GPT35]: 'gpt-3.5-turbo',
+  [ModelNameEnum.VECTOR_GPT]: 'gpt-3.5-turbo'
 };
 
 export type ModelConstantsData = {
-  serviceCompany: `${ServiceName}`;
+  icon: 'model' | 'dbModel';
   name: string;
-  model: `${ChatModelNameEnum}`;
+  model: `${ModelNameEnum}`;
   trainName: string; // 空字符串代表不能训练
-  maxToken: number;
   contextMaxToken: number;
   maxTemperature: number;
   price: number; // 多少钱 / 1token，单位: 0.00001元
@@ -30,34 +29,25 @@ export type ModelConstantsData = {
 
 export const modelList: ModelConstantsData[] = [
   {
-    serviceCompany: 'openai',
+    icon: 'model',
     name: 'chatGPT',
-    model: ChatModelNameEnum.GPT35,
+    model: ModelNameEnum.GPT35,
     trainName: '',
-    maxToken: 4000,
-    contextMaxToken: 7500,
+    contextMaxToken: 4096,
     maxTemperature: 1.5,
     price: 3
   },
   {
-    serviceCompany: 'openai',
+    icon: 'dbModel',
     name: '知识库',
-    model: ChatModelNameEnum.VECTOR_GPT,
+    model: ModelNameEnum.VECTOR_GPT,
     trainName: 'vector',
-    maxToken: 4000,
-    contextMaxToken: 7000,
+    contextMaxToken: 4096,
     maxTemperature: 1,
     price: 3
   }
 ];
 
-export enum TrainingStatusEnum {
-  pending = 'pending',
-  succeed = 'succeed',
-  errored = 'errored',
-  canceled = 'canceled'
-}
-
 export enum ModelStatusEnum {
   running = 'running',
   training = 'training',
@@ -84,6 +74,11 @@ export const formatModelStatus = {
   }
 };
 
+export enum ModelDataStatusEnum {
+  ready = 'ready',
+  waiting = 'waiting'
+}
+
 export const ModelDataStatusMap: Record<`${ModelDataStatusEnum}`, string> = {
   ready: '训练完成',
   waiting: '训练中'
@@ -118,24 +113,26 @@ export const ModelVectorSearchModeMap: Record<
 };
 
 export const defaultModel: ModelSchema = {
-  _id: '',
-  userId: '',
-  name: '',
-  avatar: '',
+  _id: 'modelId',
+  userId: 'userId',
+  name: 'modelName',
+  avatar: '/icon/logo.png',
   status: ModelStatusEnum.pending,
   updateTime: Date.now(),
-  trainingTimes: 0,
   systemPrompt: '',
-  intro: '',
   temperature: 5,
   search: {
     mode: ModelVectorSearchModeEnum.hightSimilarity
   },
+  share: {
+    isShare: false,
+    isShareDetail: false,
+    intro: '',
+    collection: 0
+  },
   service: {
-    company: 'openai',
-    trainId: '',
-    chatModel: ChatModelNameEnum.GPT35,
-    modelName: ChatModelNameEnum.GPT35
+    chatModel: ModelNameEnum.GPT35,
+    modelName: ModelNameEnum.GPT35
   },
   security: {
     domain: ['*'],

src/constants/redis.ts

@@ -1,6 +0,0 @@
-export const VecModelDataPrefix = 'model:data';
-export const VecModelDataIdx = `idx:${VecModelDataPrefix}:hash`;
-export enum ModelDataStatusEnum {
-  ready = 'ready',
-  waiting = 'waiting'
-}

src/constants/responseCode.ts

@@ -1,20 +0,0 @@
-export const ERROR_CODE: { [key: number]: string } = {
-  400: '请求失败',
-  401: '无权访问',
-  403: '紧张访问',
-  404: '请求不存在',
-  405: '请求方法错误',
-  406: '请求的格式错误',
-  410: '资源已删除',
-  422: '验证错误',
-  500: '服务器发生错误',
-  502: '网关错误',
-  503: '服务器暂时过载或维护',
-  504: '网关超时'
-};
-
-export const TOKEN_ERROR_CODE: { [key: number]: string } = {
-  506: '请先登录',
-  507: '请重新登录',
-  508: '登录已过期'
-};

src/constants/user.ts

@@ -20,3 +20,15 @@ export const BillTypeMap: Record<`${BillTypeEnum}`, string> = {
   [BillTypeEnum.vector]: '索引生成',
   [BillTypeEnum.return]: '退款'
 };
+
+export enum PromotionEnum {
+  invite = 'invite',
+  shareModel = 'shareModel',
+  withdraw = 'withdraw'
+}
+
+export const PromotionTypeMap = {
+  [PromotionEnum.invite]: '好友充值',
+  [PromotionEnum.shareModel]: '模型分享',
+  [PromotionEnum.withdraw]: '提现'
+};

src/hooks/usePagination.tsx

@@ -18,7 +18,7 @@ export const usePagination = <T = any,>({
   const [pageNum, setPageNum] = useState(1);
   const [total, setTotal] = useState(0);
   const [data, setData] = useState<T[]>([]);
-  const maxPage = useMemo(() => Math.ceil(total / pageSize), [pageSize, total]);
+  const maxPage = useMemo(() => Math.ceil(total / pageSize) || 1, [pageSize, total]);
 
   const { mutate, isLoading } = useMutation({
     mutationFn: async (num: number = pageNum) => {
@@ -41,10 +41,6 @@ export const usePagination = <T = any,>({
     }
   });
 
-  useEffect(() => {
-    mutate(1);
-  }, []);
-
   const Pagination = useCallback(() => {
     return (
       <Flex alignItems={'center'} justifyContent={'end'}>
@@ -93,6 +89,10 @@ export const usePagination = <T = any,>({
     );
   }, [maxPage, mutate, pageNum]);
 
+  useEffect(() => {
+    mutate(1);
+  }, []);
+
   return {
     pageNum,
     pageSize,

src/pages/_error.tsx

@@ -0,0 +1,15 @@
+function Error({ statusCode }: { statusCode: number }) {
+  return (
+    <p>
+      {statusCode ? `An error ${statusCode} occurred on server` : 'An error occurred on client'}
+    </p>
+  );
+}
+
+Error.getInitialProps = ({ res, err }: { res: any; err: any }) => {
+  const statusCode = res ? res.statusCode : err ? err.statusCode : 404;
+  console.log(err);
+  return { statusCode };
+};
+
+export default Error;

src/pages/api/chat/chatGpt.ts

@@ -1,11 +1,9 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { connectToDatabase } from '@/service/mongo';
-import { getOpenAIApi, authChat } from '@/service/utils/chat';
-import { httpsAgent, openaiChatFilter } from '@/service/utils/tools';
-import { ChatCompletionRequestMessage, ChatCompletionRequestMessageRoleEnum } from 'openai';
+import { getOpenAIApi, authChat } from '@/service/utils/auth';
+import { axiosConfig, openaiChatFilter } from '@/service/utils/tools';
 import { ChatItemType } from '@/types/chat';
 import { jsonRes } from '@/service/response';
-import type { ModelSchema } from '@/types/mongoSchema';
 import { PassThrough } from 'stream';
 import { modelList } from '@/constants/model';
 import { pushChatBill } from '@/service/events/pushBill';
@@ -28,29 +26,33 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
   });
 
   try {
-    const { chatId, prompt } = req.body as {
+    const { chatId, prompt, modelId } = req.body as {
       prompt: ChatItemType;
-      chatId: string;
+      modelId: string;
+      chatId: '' | string;
     };
 
     const { authorization } = req.headers;
-    if (!chatId || !prompt) {
+    if (!modelId || !prompt) {
       throw new Error('缺少参数');
     }
 
     await connectToDatabase();
     let startTime = Date.now();
 
-    const { chat, userApiKey, systemKey, userId } = await authChat(chatId, authorization);
+    const { model, content, userApiKey, systemKey, userId } = await authChat({
+      modelId,
+      chatId,
+      authorization
+    });
 
-    const model: ModelSchema = chat.modelId;
     const modelConstantsData = modelList.find((item) => item.model === model.service.modelName);
     if (!modelConstantsData) {
       throw new Error('模型加载异常');
     }
 
     // 读取对话内容
-    const prompts = [...chat.content, prompt];
+    const prompts = [...content, prompt];
 
     // 如果有系统提示词，自动插入
     if (model.systemPrompt) {
@@ -61,31 +63,23 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     }
 
     // 控制在 tokens 数量，防止超出
-    // const filterPrompts = openaiChatFilter(prompts, modelConstantsData.contextMaxToken);
+    const filterPrompts = openaiChatFilter({
+      model: model.service.chatModel,
+      prompts,
+      maxTokens: modelConstantsData.contextMaxToken - 500
+    });
 
-    // 格式化文本内容成 chatgpt 格式
-    const map = {
-      Human: ChatCompletionRequestMessageRoleEnum.User,
-      AI: ChatCompletionRequestMessageRoleEnum.Assistant,
-      SYSTEM: ChatCompletionRequestMessageRoleEnum.System
-    };
-    const formatPrompts: ChatCompletionRequestMessage[] = prompts.map((item: ChatItemType) => ({
-      role: map[item.obj],
-      content: item.value
-    }));
-    // console.log(formatPrompts);
     // 计算温度
     const temperature = modelConstantsData.maxTemperature * (model.temperature / 10);
-
+    // console.log(filterPrompts);
     // 获取 chatAPI
     const chatAPI = getOpenAIApi(userApiKey || systemKey);
     // 发出请求
     const chatResponse = await chatAPI.createChatCompletion(
       {
         model: model.service.chatModel,
-        temperature: temperature,
-        // max_tokens: modelConstantsData.maxToken,
-        messages: formatPrompts,
+        temperature,
+        messages: filterPrompts,
         frequency_penalty: 0.5, // 越大，重复内容越少
         presence_penalty: -0.5, // 越大，越容易出现新内容
         stream: true,
@@ -94,7 +88,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       {
         timeout: 40000,
         responseType: 'stream',
-        httpsAgent: httpsAgent(!userApiKey)
+        ...axiosConfig
       }
     );
 
@@ -107,7 +101,6 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       stream,
       chatResponse
     });
-    const promptsContent = formatPrompts.map((item) => item.content).join('');
 
     // 只有使用平台的 key 才计费
     pushChatBill({
@@ -115,7 +108,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       modelName: model.service.modelName,
       userId,
       chatId,
-      text: promptsContent + responseContent
+      messages: filterPrompts.concat({ role: 'assistant', content: responseContent })
     });
   } catch (err: any) {
     if (step === 1) {

src/pages/api/chat/generate.ts

@@ -1,54 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, Model, Chat } from '@/service/mongo';
-import { authToken } from '@/service/utils/tools';
-import type { ModelSchema } from '@/types/mongoSchema';
-
-/* 获取我的模型 */
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    const { modelId } = req.query as {
-      modelId: string;
-    };
-    const { authorization } = req.headers;
-
-    if (!authorization) {
-      throw new Error('无权生成对话');
-    }
-
-    if (!modelId) {
-      throw new Error('缺少参数');
-    }
-
-    // 凭证校验
-    const userId = await authToken(authorization);
-
-    await connectToDatabase();
-
-    // 校验是否为用户的模型
-    const model = await Model.findOne<ModelSchema>({
-      _id: modelId,
-      userId
-    });
-
-    if (!model) {
-      throw new Error('无权使用该模型');
-    }
-
-    // 创建 chat 数据
-    const response = await Chat.create({
-      userId,
-      modelId,
-      content: []
-    });
-
-    jsonRes(res, {
-      data: response._id // 即聊天框的 ID
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

src/pages/api/chat/getHistory.ts

@@ -0,0 +1,31 @@
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { connectToDatabase, Chat } from '@/service/mongo';
+import { authToken } from '@/service/utils/tools';
+
+/* 获取历史记录 */
+export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+  try {
+    const userId = await authToken(req.headers.authorization);
+
+    await connectToDatabase();
+
+    const data = await Chat.find(
+      {
+        userId
+      },
+      '_id title modelId'
+    )
+      .sort({ updateTime: -1 })
+      .limit(20);
+
+    jsonRes(res, {
+      data
+    });
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}

src/pages/api/chat/init.ts

@@ -1,9 +1,11 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { connectToDatabase, Chat } from '@/service/mongo';
-import type { ChatPopulate } from '@/types/mongoSchema';
 import type { InitChatResponse } from '@/api/response/chat';
 import { authToken } from '@/service/utils/tools';
+import { ChatItemType } from '@/types/chat';
+import { authModel } from '@/service/utils/auth';
+import mongoose from 'mongoose';
 
 /* 初始化我的聊天框，需要身份验证 */
 export default async function handler(req: NextApiRequest, res: NextApiResponse) {
@@ -11,43 +13,55 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     const { authorization } = req.headers;
     const userId = await authToken(authorization);
 
-    const { chatId } = req.query as { chatId: string };
+    const { modelId, chatId } = req.query as { modelId: string; chatId: '' | string };
 
-    if (!chatId) {
+    if (!modelId) {
       throw new Error('缺少参数');
     }
 
     await connectToDatabase();
 
-    // 获取 chat 数据
-    const chat = await Chat.findOne<ChatPopulate>({
-      _id: chatId,
-      userId
-    }).populate({
-      path: 'modelId',
-      options: {
-        strictPopulate: false
-      }
-    });
+    // 获取 model 数据
+    const { model } = await authModel({ modelId, userId, authUser: false, authOwner: false });
 
-    if (!chat) {
-      throw new Error('聊天框不存在');
+    // 历史记录
+    let history: ChatItemType[] = [];
+
+    if (chatId) {
+      // 获取 chat.content 数据
+      history = await Chat.aggregate([
+        {
+          $match: {
+            _id: new mongoose.Types.ObjectId(chatId),
+            userId: new mongoose.Types.ObjectId(userId)
+          }
+        },
+        { $unwind: '$content' },
+        { $match: { 'content.deleted': false } },
+        { $sort: { 'content._id': -1 } },
+        { $limit: 50 },
+        {
+          $project: {
+            id: '$content._id',
+            obj: '$content.obj',
+            value: '$content.value'
+          }
+        }
+      ]);
+
+      history.reverse();
     }
 
-    // filter 掉被 deleted 的内容
-    chat.content = chat.content.filter((item) => item.deleted !== true);
-
-    const model = chat.modelId;
     jsonRes<InitChatResponse>(res, {
       data: {
-        chatId: chat._id,
-        modelId: model._id,
+        chatId: chatId || '',
+        modelId: modelId,
         name: model.name,
         avatar: model.avatar,
-        intro: model.intro,
+        intro: model.share.intro,
         modelName: model.service.modelName,
         chatModel: model.service.chatModel,
-        history: chat.content
+        history
       }
     });
   } catch (err) {

src/pages/api/chat/removeHistory.ts

@@ -0,0 +1,27 @@
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { ChatItemType } from '@/types/chat';
+import { connectToDatabase, Chat } from '@/service/mongo';
+import { authToken } from '@/service/utils/tools';
+
+/* 获取历史记录 */
+export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+  try {
+    const { id } = req.query;
+    const userId = await authToken(req.headers.authorization);
+
+    await connectToDatabase();
+
+    await Chat.findOneAndRemove({
+      _id: id,
+      userId
+    });
+
+    jsonRes(res);
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}

src/pages/api/chat/saveChat.ts

@@ -2,34 +2,55 @@ import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { ChatItemType } from '@/types/chat';
 import { connectToDatabase, Chat } from '@/service/mongo';
+import { authModel } from '@/service/utils/auth';
+import { authToken } from '@/service/utils/tools';
 
 /* 聊天内容存存储 */
 export default async function handler(req: NextApiRequest, res: NextApiResponse) {
   try {
-    const { chatId, prompts } = req.body as {
-      chatId: string;
+    const { chatId, modelId, prompts } = req.body as {
+      chatId: '' | string;
+      modelId: string;
       prompts: ChatItemType[];
     };
 
-    if (!chatId || !prompts) {
+    if (!prompts) {
       throw new Error('缺少参数');
     }
 
+    const userId = await authToken(req.headers.authorization);
+
     await connectToDatabase();
 
-    // 存入库
-    await Chat.findByIdAndUpdate(chatId, {
-      $push: {
-        content: {
-          $each: prompts.map((item) => ({
-            obj: item.obj,
-            value: item.value
-          }))
-        }
-      },
-      updateTime: new Date()
-    });
+    const content = prompts.map((item) => ({
+      obj: item.obj,
+      value: item.value
+    }));
 
+    await authModel({ modelId, userId, authOwner: false });
+
+    // 没有 chatId, 创建一个对话
+    if (!chatId) {
+      const { _id } = await Chat.create({
+        userId,
+        modelId,
+        content,
+        title: content[0].value.slice(0, 20)
+      });
+      return jsonRes(res, {
+        data: _id
+      });
+    } else {
+      // 已经有记录，追加入库
+      await Chat.findByIdAndUpdate(chatId, {
+        $push: {
+          content: {
+            $each: content
+          }
+        },
+        updateTime: new Date()
+      });
+    }
     jsonRes(res);
   } catch (err) {
     jsonRes(res, {

src/pages/api/chat/vectorGpt.ts

@@ -1,13 +1,16 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { connectToDatabase } from '@/service/mongo';
-import { authChat } from '@/service/utils/chat';
-import { httpsAgent, systemPromptFilter } from '@/service/utils/tools';
-import { ChatCompletionRequestMessage, ChatCompletionRequestMessageRoleEnum } from 'openai';
+import { authChat } from '@/service/utils/auth';
+import { axiosConfig, systemPromptFilter, openaiChatFilter } from '@/service/utils/tools';
 import { ChatItemType } from '@/types/chat';
 import { jsonRes } from '@/service/response';
-import type { ModelSchema } from '@/types/mongoSchema';
 import { PassThrough } from 'stream';
-import { modelList, ModelVectorSearchModeMap, ModelVectorSearchModeEnum } from '@/constants/model';
+import {
+  modelList,
+  ModelVectorSearchModeMap,
+  ModelVectorSearchModeEnum,
+  ModelDataStatusEnum
+} from '@/constants/model';
 import { pushChatBill } from '@/service/events/pushBill';
 import { openaiCreateEmbedding, gpt35StreamResponse } from '@/service/utils/openai';
 import dayjs from 'dayjs';
@@ -30,29 +33,33 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
   });
 
   try {
-    const { chatId, prompt } = req.body as {
+    const { modelId, chatId, prompt } = req.body as {
+      modelId: string;
+      chatId: '' | string;
       prompt: ChatItemType;
-      chatId: string;
     };
 
     const { authorization } = req.headers;
-    if (!chatId || !prompt) {
+    if (!modelId || !prompt) {
       throw new Error('缺少参数');
     }
 
     await connectToDatabase();
     let startTime = Date.now();
 
-    const { chat, userApiKey, systemKey, userId } = await authChat(chatId, authorization);
+    const { model, content, userApiKey, systemKey, userId } = await authChat({
+      modelId,
+      chatId,
+      authorization
+    });
 
-    const model: ModelSchema = chat.modelId;
     const modelConstantsData = modelList.find((item) => item.model === model.service.modelName);
     if (!modelConstantsData) {
       throw new Error('模型加载异常');
     }
 
     // 读取对话内容
-    const prompts = [...chat.content, prompt];
+    const prompts = [...content, prompt];
 
     // 获取提示词的向量
     const { vector: promptVector, chatAPI } = await openaiCreateEmbedding({
@@ -66,9 +73,15 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     const similarity = ModelVectorSearchModeMap[model.search.mode]?.similarity || 0.22;
     const vectorSearch = await PgClient.select<{ id: string; q: string; a: string }>('modelData', {
       fields: ['id', 'q', 'a'],
-      where: [['model_id', model._id], 'AND', `vector <=> '[${promptVector}]' < ${similarity}`],
+      where: [
+        ['status', ModelDataStatusEnum.ready],
+        'AND',
+        ['model_id', model._id],
+        'AND',
+        `vector <=> '[${promptVector}]' < ${similarity}`
+      ],
       order: [{ field: 'vector', mode: `<=> '[${promptVector}]'` }],
-      limit: 30
+      limit: 20
     });
 
     const formatRedisPrompt: string[] = vectorSearch.rows.map((item) => `${item.q}\n${item.a}`);
@@ -90,32 +103,36 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
         value: model.systemPrompt
       });
     } else {
-      // 有匹配情况下，添加知识库内容。
-      // 系统提示词过滤，最多 2000 tokens
-      const systemPrompt = systemPromptFilter(formatRedisPrompt, 2000);
+      // 有匹配情况下，system 添加知识库内容。
+      // 系统提示词过滤，最多 2500 tokens
+      const systemPrompt = systemPromptFilter({
+        model: model.service.chatModel,
+        prompts: formatRedisPrompt,
+        maxTokens: 2500
+      });
 
       prompts.unshift({
         obj: 'SYSTEM',
-        value: `${model.systemPrompt} 知识库是最新的,下面是知识库内容:当前时间为${dayjs().format(
-          'YYYY/MM/DD HH:mm:ss'
-        )}\n${systemPrompt}`
+        value: `
+${model.systemPrompt}
+${
+  model.search.mode === ModelVectorSearchModeEnum.hightSimilarity
+    ? `你只能从知识库选择内容回答.不在知识库内容拒绝回复`
+    : ''
+}
+知识库内容为: 当前时间为${dayjs().format('YYYY/MM/DD HH:mm:ss')}\n${systemPrompt}'
+`
       });
     }
 
     // 控制在 tokens 数量，防止超出
-    // const filterPrompts = openaiChatFilter(prompts, modelConstantsData.contextMaxToken);
+    const filterPrompts = openaiChatFilter({
+      model: model.service.chatModel,
+      prompts,
+      maxTokens: modelConstantsData.contextMaxToken - 500
+    });
 
-    // 格式化文本内容成 chatgpt 格式
-    const map = {
-      Human: ChatCompletionRequestMessageRoleEnum.User,
-      AI: ChatCompletionRequestMessageRoleEnum.Assistant,
-      SYSTEM: ChatCompletionRequestMessageRoleEnum.System
-    };
-    const formatPrompts: ChatCompletionRequestMessage[] = prompts.map((item: ChatItemType) => ({
-      role: map[item.obj],
-      content: item.value
-    }));
-    // console.log(formatPrompts);
+    // console.log(filterPrompts);
     // 计算温度
     const temperature = modelConstantsData.maxTemperature * (model.temperature / 10);
 
@@ -123,17 +140,17 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     const chatResponse = await chatAPI.createChatCompletion(
       {
         model: model.service.chatModel,
-        temperature: temperature,
-        // max_tokens: modelConstantsData.maxToken,
-        messages: formatPrompts,
+        temperature,
+        messages: filterPrompts,
         frequency_penalty: 0.5, // 越大，重复内容越少
         presence_penalty: -0.5, // 越大，越容易出现新内容
-        stream: true
+        stream: true,
+        stop: ['.!?。']
       },
       {
         timeout: 40000,
         responseType: 'stream',
-        httpsAgent: httpsAgent(!userApiKey)
+        ...axiosConfig
       }
     );
 
@@ -147,14 +164,13 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       chatResponse
     });
 
-    const promptsContent = formatPrompts.map((item) => item.content).join('');
     // 只有使用平台的 key 才计费
     pushChatBill({
       isPay: !userApiKey,
       modelName: model.service.modelName,
       userId,
       chatId,
-      text: promptsContent + responseContent
+      messages: filterPrompts.concat({ role: 'assistant', content: responseContent })
     });
     // jsonRes(res);
   } catch (err: any) {

src/pages/api/data/delData.ts

@@ -1,47 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, Data, DataItem } from '@/service/mongo';
-import { authToken } from '@/service/utils/tools';
-import type { DataListItem } from '@/types/data';
-import type { PagingData } from '@/types';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { authorization } = req.headers;
-
-    if (!authorization) {
-      throw new Error('缺少登录凭证');
-    }
-
-    await authToken(authorization);
-
-    const { dataId } = req.query as { dataId: string };
-    if (!dataId) {
-      throw new Error('缺少参数');
-    }
-
-    await connectToDatabase();
-
-    await Data.findByIdAndUpdate(dataId, {
-      isDeleted: true
-    });
-
-    // 改变 dataItem 状态为 0
-    await DataItem.updateMany(
-      {
-        dataId
-      },
-      {
-        status: 0
-      }
-    );
-
-    jsonRes<PagingData<DataListItem>>(res);
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

src/pages/api/data/getDataList.ts

@@ -1,71 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, Data, DataItem } from '@/service/mongo';
-import { authToken } from '@/service/utils/tools';
-import type { DataListItem } from '@/types/data';
-import mongoose from 'mongoose';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { authorization } = req.headers;
-
-    if (!authorization) {
-      throw new Error('缺少登录凭证');
-    }
-
-    const userId = await authToken(authorization);
-
-    await connectToDatabase();
-
-    const datalist = await Data.aggregate<DataListItem>([
-      {
-        $match: {
-          userId: new mongoose.Types.ObjectId(userId),
-          isDeleted: false
-        }
-      },
-      {
-        $sort: { createTime: -1 } // 按照创建时间倒序排列
-      },
-      {
-        $lookup: {
-          from: 'dataitems',
-          localField: '_id',
-          foreignField: 'dataId',
-          as: 'items'
-        }
-      },
-      {
-        $addFields: {
-          totalData: {
-            $size: '$items' // 统计dataItem的总数
-          },
-          trainingData: {
-            $size: {
-              $filter: {
-                input: '$items',
-                as: 'item',
-                cond: { $ne: ['$$item.status', 0] } // 统计 status 不为0的数量
-              }
-            }
-          }
-        }
-      },
-      {
-        $project: {
-          items: 0 // 不返回 items 字段
-        }
-      }
-    ]);
-
-    jsonRes(res, {
-      data: datalist
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

src/pages/api/data/postData.ts

@@ -1,35 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, Data } from '@/service/mongo';
-import { authToken } from '@/service/utils/tools';
-import type { DataType } from '@/types/data';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    let { name, type } = req.body as { name: string; type: DataType };
-    if (!name || !type) {
-      throw new Error('参数错误');
-    }
-    await connectToDatabase();
-
-    const { authorization } = req.headers;
-
-    const userId = await authToken(authorization);
-
-    // 生成 data 集合
-    const data = await Data.create({
-      userId,
-      name,
-      type
-    });
-
-    jsonRes(res, {
-      data: data._id
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

src/pages/api/data/putDataName.ts

@@ -1,37 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, Data } from '@/service/mongo';
-import { authToken } from '@/service/utils/tools';
-import type { DataListItem } from '@/types/data';
-import type { PagingData } from '@/types';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { authorization } = req.headers;
-
-    if (!authorization) {
-      throw new Error('缺少登录凭证');
-    }
-
-    await authToken(authorization);
-
-    const { dataId, name } = req.query as { dataId: string; name: string };
-    if (!dataId || !name) {
-      throw new Error('缺少参数');
-    }
-
-    await connectToDatabase();
-
-    await Data.findByIdAndUpdate(dataId, {
-      name
-    });
-
-    jsonRes<PagingData<DataListItem>>(res);
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

src/pages/api/data/splitData.ts

@@ -1,69 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, DataItem, Data } from '@/service/mongo';
-import { authToken } from '@/service/utils/tools';
-import { generateQA } from '@/service/events/generateQA';
-import { generateAbstract } from '@/service/events/generateAbstract';
-import { encode } from 'gpt-token-utils';
-
-/* 拆分数据成QA */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { text, dataId } = req.body as { text: string; dataId: string };
-    if (!text || !dataId) {
-      throw new Error('参数错误');
-    }
-    await connectToDatabase();
-
-    const { authorization } = req.headers;
-
-    const userId = await authToken(authorization);
-
-    const DataRecord = await Data.findById(dataId);
-
-    if (!DataRecord) {
-      throw new Error('找不到数据集');
-    }
-    const replaceText = text.replace(/[\\n]+/g, ' ');
-
-    // 文本拆分成 chunk
-    let chunks = replaceText.match(/[^!?.。]+[!?.。]/g) || [];
-
-    const dataItems: any[] = [];
-    let splitText = '';
-
-    chunks.forEach((chunk) => {
-      splitText += chunk;
-      const tokens = encode(splitText).length;
-      if (tokens >= 780) {
-        dataItems.push({
-          userId,
-          dataId,
-          type: DataRecord.type,
-          text: splitText,
-          status: 1
-        });
-        splitText = '';
-      }
-    });
-
-    // 批量插入数据
-    await DataItem.insertMany(dataItems);
-
-    try {
-      generateQA();
-      generateAbstract();
-    } catch (error) {
-      error;
-    }
-
-    jsonRes(res, {
-      data: { chunks, replaceText }
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

src/pages/api/model/create.ts

@@ -3,14 +3,14 @@ import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { connectToDatabase } from '@/service/mongo';
 import { authToken } from '@/service/utils/tools';
-import { ModelStatusEnum, modelList, ChatModelNameEnum, ChatModelNameMap } from '@/constants/model';
+import { ModelStatusEnum, modelList, ModelNameEnum, Model2ChatModelMap } from '@/constants/model';
 import { Model } from '@/service/models/model';
 
 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
   try {
     const { name, serviceModelName } = req.body as {
       name: string;
-      serviceModelName: `${ChatModelNameEnum}`;
+      serviceModelName: `${ModelNameEnum}`;
     };
     const { authorization } = req.headers;
 
@@ -47,9 +47,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
       userId,
       status: ModelStatusEnum.running,
       service: {
-        company: modelItem.serviceCompany,
-        trainId: '',
-        chatModel: ChatModelNameMap[modelItem.model], // 聊天时用的模型
+        chatModel: Model2ChatModelMap[modelItem.model], // 聊天时用的模型
         modelName: modelItem.model // 最底层的模型，不会变，用于计费等核心操作
       }
     });

src/pages/api/model/data/fetchingUrlData.ts

@@ -3,7 +3,7 @@ import { jsonRes } from '@/service/response';
 import { connectToDatabase } from '@/service/mongo';
 import { authToken } from '@/service/utils/tools';
 import axios from 'axios';
-import { httpsAgent } from '@/service/utils/tools';
+import { axiosConfig } from '@/service/utils/tools';
 
 /**
  * 读取网站的内容
@@ -22,7 +22,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
 
     const data = await axios
       .get(url, {
-        httpsAgent: httpsAgent(false)
+        httpsAgent: axiosConfig.httpsAgent
       })
       .then((res) => res.data as string);
 

src/pages/api/model/data/getModelData.ts

@@ -4,6 +4,7 @@ import { connectToDatabase } from '@/service/mongo';
 import { authToken } from '@/service/utils/tools';
 import { PgClient } from '@/service/pg';
 import type { PgModelDataItemType } from '@/types/pg';
+import { authModel } from '@/service/utils/auth';
 
 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
   try {
@@ -36,9 +37,21 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
 
     await connectToDatabase();
 
+    const { model } = await authModel({
+      userId,
+      modelId,
+      authOwner: false
+    });
+
+    const where: any = [
+      ...(model.share.isShareDetail ? [] : [['user_id', userId], 'AND']),
+      ['model_id', modelId],
+      ...(searchText ? ['AND', `(q LIKE '%${searchText}%' OR a LIKE '%${searchText}%')`] : [])
+    ];
+
     const searchRes = await PgClient.select<PgModelDataItemType>('modelData', {
       fields: ['id', 'q', 'a', 'status'],
-      where: [['user_id', userId], 'AND', ['model_id', modelId]],
+      where,
       order: [{ field: 'id', mode: 'DESC' }],
       limit: pageSize,
       offset: pageSize * (pageNum - 1)
@@ -50,7 +63,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
         pageSize,
         data: searchRes.rows,
         total: await PgClient.count('modelData', {
-          where: [['user_id', userId], 'AND', ['model_id', modelId]]
+          where
         })
       }
     });

src/pages/api/model/data/pushModelDataCsv.ts

@@ -1,10 +1,11 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
-import { connectToDatabase, Model } from '@/service/mongo';
+import { connectToDatabase } from '@/service/mongo';
 import { authToken } from '@/service/utils/tools';
 import { generateVector } from '@/service/events/generateVector';
 import { ModelDataStatusEnum } from '@/constants/model';
 import { PgClient } from '@/service/pg';
+import { authModel } from '@/service/utils/auth';
 
 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
   try {
@@ -28,18 +29,17 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
     await connectToDatabase();
 
     // 验证是否是该用户的 model
-    const model = await Model.findOne({
-      _id: modelId,
-      userId
+    await authModel({
+      userId,
+      modelId
     });
 
-    if (!model) {
-      throw new Error('无权操作该模型');
-    }
-
     // 去重
     const searchRes = await Promise.allSettled(
       data.map(async ([q, a]) => {
+        if (!q || !a) {
+          return Promise.reject('q/a为空');
+        }
         try {
           q = q.replace(/\\n/g, '\n');
           a = a.replace(/\\n/g, '\n');

src/pages/api/model/data/pushModelDataInput.ts

@@ -1,10 +1,11 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
-import { connectToDatabase, Model } from '@/service/mongo';
+import { connectToDatabase } from '@/service/mongo';
 import { authToken } from '@/service/utils/tools';
 import { ModelDataSchema } from '@/types/mongoSchema';
 import { generateVector } from '@/service/events/generateVector';
-import { connectPg, PgClient } from '@/service/pg';
+import { PgClient } from '@/service/pg';
+import { authModel } from '@/service/utils/auth';
 
 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
   try {
@@ -26,18 +27,13 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
     const userId = await authToken(authorization);
 
     await connectToDatabase();
-    const pg = await connectPg();
 
     // 验证是否是该用户的 model
-    const model = await Model.findOne({
-      _id: modelId,
-      userId
+    await authModel({
+      userId,
+      modelId
     });
 
-    if (!model) {
-      throw new Error('无权操作该模型');
-    }
-
     // 插入记录
     await PgClient.insert('modelData', {
       values: data.map((item) => [

src/pages/api/model/data/putModelData.ts

@@ -1,7 +1,7 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { authToken } from '@/service/utils/tools';
-import { ModelDataStatusEnum } from '@/constants/redis';
+import { ModelDataStatusEnum } from '@/constants/model';
 import { generateVector } from '@/service/events/generateVector';
 import { PgClient } from '@/service/pg';
 

src/pages/api/model/data/splitData.ts

@@ -2,14 +2,20 @@ import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { connectToDatabase, SplitData, Model } from '@/service/mongo';
 import { authToken } from '@/service/utils/tools';
+import { generateVector } from '@/service/events/generateVector';
 import { generateQA } from '@/service/events/generateQA';
-import { encode } from 'gpt-token-utils';
+import { PgClient } from '@/service/pg';
 
 /* 拆分数据成QA */
 export default async function handler(req: NextApiRequest, res: NextApiResponse) {
   try {
-    const { text, modelId, prompt } = req.body as { text: string; modelId: string; prompt: string };
-    if (!text || !modelId || !prompt) {
+    const { chunks, modelId, prompt, mode } = req.body as {
+      modelId: string;
+      chunks: string[];
+      prompt: string;
+      mode: 'qa' | 'subsection';
+    };
+    if (!chunks || !modelId || !prompt) {
       throw new Error('参数错误');
     }
     await connectToDatabase();
@@ -28,46 +34,31 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       throw new Error('无权操作该模型');
     }
 
-    const replaceText = text.replace(/\\n/g, '\n');
+    if (mode === 'qa') {
+      // 批量QA拆分插入数据
+      await SplitData.create({
+        userId,
+        modelId,
+        textList: chunks,
+        prompt
+      });
 
-    // 文本拆分成 chunk
-    const chunks = replaceText.split('\n').filter((item) => item.trim());
+      generateQA();
+    } else if (mode === 'subsection') {
+      // 插入记录
+      await PgClient.insert('modelData', {
+        values: chunks.map((item) => [
+          { key: 'user_id', value: userId },
+          { key: 'model_id', value: modelId },
+          { key: 'q', value: item },
+          { key: 'a', value: '' },
+          { key: 'status', value: 'waiting' }
+        ])
+      });
 
-    const textList: string[] = [];
-    let splitText = '';
-
-    /* 取 3k ~ 4K tokens 内容 */
-    chunks.forEach((chunk) => {
-      const tokens = encode(splitText + chunk).length;
-      if (tokens >= 4000) {
-        // 超过 4000，不要这块内容
-        textList.push(splitText);
-        splitText = chunk;
-      } else if (tokens >= 3000) {
-        // 超过 3000，取内容
-        textList.push(splitText + chunk);
-        splitText = '';
-      } else {
-        //没超过 3000，继续添加
-        splitText += chunk;
-      }
-    });
-
-    if (splitText) {
-      textList.push(splitText);
+      generateVector();
     }
 
-    // 批量插入数据
-    await SplitData.create({
-      userId,
-      modelId,
-      rawText: text,
-      textList,
-      prompt
-    });
-
-    generateQA();
-
     jsonRes(res);
   } catch (err) {
     jsonRes(res, {

src/pages/api/model/del.ts

@@ -1,12 +1,9 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
-import { Chat, Model, Training, connectToDatabase } from '@/service/mongo';
+import { Chat, Model, connectToDatabase } from '@/service/mongo';
 import { authToken } from '@/service/utils/tools';
-import { getUserApiOpenai } from '@/service/utils/openai';
-import { TrainingStatusEnum } from '@/constants/model';
-import { TrainingItemType } from '@/types/training';
-import { httpsAgent } from '@/service/utils/tools';
 import { PgClient } from '@/service/pg';
+import { authModel } from '@/service/utils/auth';
 
 /* 获取我的模型 */
 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
@@ -25,18 +22,14 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
     // 凭证校验
     const userId = await authToken(authorization);
 
+    await connectToDatabase();
+
     // 验证是否是该用户的 model
-    const model = await Model.findOne({
-      _id: modelId,
+    await authModel({
+      modelId,
       userId
     });
 
-    if (!model) {
-      throw new Error('无权操作该模型');
-    }
-
-    await connectToDatabase();
-
     // 删除 pg 中所有该模型的数据
     await PgClient.delete('modelData', {
       where: [['user_id', userId], 'AND', ['model_id', modelId]]
@@ -47,31 +40,6 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
       modelId
     });
 
-    // 查看是否正在训练
-    const training: TrainingItemType | null = await Training.findOne({
-      modelId,
-      status: TrainingStatusEnum.pending
-    });
-
-    // 如果正在训练，需要删除openai上的相关信息
-    if (training) {
-      const { openai } = await getUserApiOpenai(userId);
-      // 获取训练记录
-      const tuneRecord = await openai.retrieveFineTune(training.tuneId, {
-        httpsAgent: httpsAgent(false)
-      });
-
-      // 删除训练文件
-      openai.deleteFile(tuneRecord.data.training_files[0].id, { httpsAgent: httpsAgent(false) });
-      // 取消训练
-      openai.cancelFineTune(training.tuneId, { httpsAgent: httpsAgent(false) });
-    }
-
-    // 删除对应训练记录
-    await Training.deleteMany({
-      modelId
-    });
-
     // 删除模型
     await Model.deleteOne({
       _id: modelId,

src/pages/api/model/detail.tsx

@@ -2,8 +2,7 @@ import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { connectToDatabase } from '@/service/mongo';
 import { authToken } from '@/service/utils/tools';
-import { Model } from '@/service/models/model';
-import type { ModelSchema } from '@/types/mongoSchema';
+import { authModel } from '@/service/utils/auth';
 
 /* 获取我的模型 */
 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
@@ -14,7 +13,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
       throw new Error('无权操作');
     }
 
-    const { modelId } = req.query;
+    const { modelId } = req.query as { modelId: string };
 
     if (!modelId) {
       throw new Error('参数错误');
@@ -25,16 +24,12 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
 
     await connectToDatabase();
 
-    // 根据 userId 获取模型信息
-    const model = await Model.findOne<ModelSchema>({
+    const { model } = await authModel({
+      modelId,
       userId,
-      _id: modelId
+      authOwner: false
     });
 
-    if (!model) {
-      throw new Error('模型不存在');
-    }
-
     jsonRes(res, {
       data: model
     });

src/pages/api/model/list.ts

@@ -4,7 +4,7 @@ import { connectToDatabase } from '@/service/mongo';
 import { authToken } from '@/service/utils/tools';
 import { Model } from '@/service/models/model';
 
-/* 获取我的模型 */
+/* 获取模型列表 */
 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
   try {
     const { authorization } = req.headers;

src/pages/api/model/share/collection.ts

@@ -0,0 +1,44 @@
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { connectToDatabase, Collection, Model } from '@/service/mongo';
+import { authToken } from '@/service/utils/tools';
+
+/* 模型收藏切换 */
+export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
+  try {
+    const { modelId } = req.query as { modelId: string };
+
+    if (!modelId) {
+      throw new Error('缺少参数');
+    }
+    // 凭证校验
+    const userId = await authToken(req.headers.authorization);
+
+    await connectToDatabase();
+
+    const collectionRecord = await Collection.findOne({
+      userId,
+      modelId
+    });
+
+    if (collectionRecord) {
+      await Collection.findByIdAndRemove(collectionRecord._id);
+    } else {
+      await Collection.create({
+        userId,
+        modelId
+      });
+    }
+
+    await Model.findByIdAndUpdate(modelId, {
+      'share.collection': await Collection.countDocuments({ modelId })
+    });
+
+    jsonRes(res);
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}

src/pages/api/model/share/getCollection.ts

@@ -0,0 +1,37 @@
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { connectToDatabase, Collection } from '@/service/mongo';
+import { authToken } from '@/service/utils/tools';
+import type { ShareModelItem } from '@/types/model';
+
+/* 获取模型列表 */
+export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
+  try {
+    // 凭证校验
+    const userId = await authToken(req.headers.authorization);
+
+    await connectToDatabase();
+
+    // get my collections
+    const collections = await Collection.find({
+      userId
+    }).populate('modelId', '_id avatar name userId share');
+
+    jsonRes<ShareModelItem[]>(res, {
+      data: collections
+        .map((item: any) => ({
+          _id: item.modelId?._id,
+          avatar: item.modelId?.avatar || '/icon/logo.png',
+          name: item.modelId?.name || '',
+          userId: item.modelId?.userId || '',
+          share: item.modelId?.share || {},
+          isCollection: true
+        }))
+        .filter((item) => item.share.isShare)
+    });
+  } catch (err) {
+    jsonRes(res, {
+      data: []
+    });
+  }
+}

src/pages/api/model/share/getModels.ts

@@ -0,0 +1,60 @@
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { connectToDatabase, Collection, Model } from '@/service/mongo';
+import { authToken } from '@/service/utils/tools';
+import type { PagingData } from '@/types';
+import type { ShareModelItem } from '@/types/model';
+
+/* 获取模型列表 */
+export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
+  try {
+    const {
+      searchText = '',
+      pageNum = 1,
+      pageSize = 20
+    } = req.body as { searchText: string; pageNum: number; pageSize: number };
+
+    await connectToDatabase();
+
+    const regex = new RegExp(searchText, 'i');
+
+    const where = {
+      $and: [
+        { 'share.isShare': true },
+        { $or: [{ name: { $regex: regex } }, { 'share.intro': { $regex: regex } }] }
+      ]
+    };
+
+    // 获取被分享的模型
+    const [models, total] = await Promise.all([
+      Model.find(where, '_id avatar name userId share')
+        .sort({
+          'share.collection': -1
+        })
+        .limit(pageSize)
+        .skip((pageNum - 1) * pageSize),
+      Model.countDocuments(where)
+    ]);
+
+    jsonRes<PagingData<ShareModelItem>>(res, {
+      data: {
+        pageNum,
+        pageSize,
+        data: models.map((item) => ({
+          _id: item._id,
+          avatar: item.avatar || '/icon/logo.png',
+          name: item.name,
+          userId: item.userId,
+          share: item.share,
+          isCollection: false
+        })),
+        total
+      }
+    });
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}

src/pages/api/model/train/getTrainings.ts

@@ -1,52 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, Training } from '@/service/mongo';
-import { authToken } from '@/service/utils/tools';
-
-// 关闭next默认的bodyParser处理方式
-export const config = {
-  api: {
-    bodyParser: false
-  }
-};
-
-/* 获取模型训练记录 */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { authorization } = req.headers;
-
-    if (!authorization) {
-      throw new Error('无权操作');
-    }
-    const { modelId } = req.query;
-    if (!modelId) {
-      throw new Error('参数错误');
-    }
-    await authToken(authorization);
-
-    await connectToDatabase();
-
-    /* 获取 modelId 下的 training 记录 */
-    const records = await Training.find({
-      modelId
-    });
-
-    jsonRes(res, {
-      data: records
-    });
-  } catch (err: any) {
-    /* 清除上传的文件，关闭训练记录 */
-    // @ts-ignore
-    if (openai) {
-      // @ts-ignore
-      uploadFileId && openai.deleteFile(uploadFileId);
-      // @ts-ignore
-      trainId && openai.cancelFineTune(trainId);
-    }
-
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

src/pages/api/model/train/putTrainStatus.ts

@@ -1,106 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, Model, Training } from '@/service/mongo';
-import { authToken } from '@/service/utils/tools';
-import { getUserApiOpenai } from '@/service/utils/openai';
-import type { ModelSchema } from '@/types/mongoSchema';
-import { TrainingItemType } from '@/types/training';
-import { ModelStatusEnum, TrainingStatusEnum } from '@/constants/model';
-import { OpenAiTuneStatusEnum } from '@/service/constants/training';
-import { httpsAgent } from '@/service/utils/tools';
-
-/* 更新训练状态 */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { authorization } = req.headers;
-
-    if (!authorization) {
-      throw new Error('无权操作');
-    }
-    const { modelId } = req.query as { modelId: string };
-    if (!modelId) {
-      throw new Error('参数错误');
-    }
-    const userId = await authToken(authorization);
-
-    await connectToDatabase();
-
-    // 获取模型
-    const model = await Model.findById<ModelSchema>(modelId);
-
-    if (!model || model.status !== 'training') {
-      throw new Error('模型不在训练中');
-    }
-
-    // 查询正在训练中的训练记录
-    const training: TrainingItemType | null = await Training.findOne({
-      modelId,
-      status: 'pending'
-    });
-
-    if (!training) {
-      throw new Error('找不到训练记录');
-    }
-
-    // 用户的 openai 实例
-    const { openai } = await getUserApiOpenai(userId);
-
-    // 获取 openai 的训练情况
-    const { data } = await openai.retrieveFineTune(training.tuneId, {
-      httpsAgent: httpsAgent(false)
-    });
-    // console.log(data);
-    if (data.status === OpenAiTuneStatusEnum.succeeded) {
-      // 删除训练文件
-      openai.deleteFile(data.training_files[0].id, { httpsAgent: httpsAgent(false) });
-
-      // 更新模型状态和模型内容
-      await Model.findByIdAndUpdate(modelId, {
-        status: ModelStatusEnum.running,
-        updateTime: new Date(),
-        service: {
-          ...model.service,
-          trainId: data.fine_tuned_model, // 训练完后，再次训练和对话使用的 model 是一样的
-          chatModel: data.fine_tuned_model
-        }
-      });
-      // 更新训练数据
-      await Training.findByIdAndUpdate(training._id, {
-        status: TrainingStatusEnum.succeed
-      });
-
-      return jsonRes(res, {
-        data: '模型微调完成'
-      });
-    }
-
-    /* 取消微调 */
-    if (data.status === OpenAiTuneStatusEnum.cancelled) {
-      // 删除训练文件
-      openai.deleteFile(data.training_files[0].id, { httpsAgent: httpsAgent(false) });
-
-      // 更新模型
-      await Model.findByIdAndUpdate(modelId, {
-        status: ModelStatusEnum.running,
-        updateTime: new Date()
-      });
-      // 更新训练数据
-      await Training.findByIdAndUpdate(training._id, {
-        status: TrainingStatusEnum.canceled
-      });
-
-      return jsonRes(res, {
-        data: '模型微调已取消'
-      });
-    }
-
-    jsonRes(res, {
-      data: '模型还在训练中'
-    });
-  } catch (err: any) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

src/pages/api/model/train/train.ts

@@ -1,130 +0,0 @@
-// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, Model, Training } from '@/service/mongo';
-import formidable from 'formidable';
-import { authToken } from '@/service/utils/tools';
-import { getUserApiOpenai } from '@/service/utils/openai';
-import { join } from 'path';
-import fs from 'fs';
-import type { ModelSchema } from '@/types/mongoSchema';
-import type { OpenAIApi } from 'openai';
-import { ModelStatusEnum, TrainingStatusEnum } from '@/constants/model';
-import { httpsAgent } from '@/service/utils/tools';
-
-// 关闭next默认的bodyParser处理方式
-export const config = {
-  api: {
-    bodyParser: false
-  }
-};
-
-/* 上传文件，开始微调 */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  let openai: OpenAIApi, trainId: string, uploadFileId: string;
-
-  try {
-    const { authorization } = req.headers;
-
-    if (!authorization) {
-      throw new Error('无权操作');
-    }
-    const { modelId } = req.query;
-
-    if (!modelId) {
-      throw new Error('参数错误');
-    }
-    const userId = await authToken(authorization);
-
-    await connectToDatabase();
-
-    // 获取模型的状态
-    const model = await Model.findById<ModelSchema>(modelId);
-
-    if (!model || model.status !== 'running') {
-      throw new Error('模型正忙');
-    }
-
-    // const trainingType = model.service.modelType
-    const trainingType = model.service.trainId; // 目前都默认是 openai text-davinci-03
-
-    // 获取用户的 API Key 实例化后的对象
-    const user = await getUserApiOpenai(userId);
-    openai = user.openai;
-
-    // 接收文件并保存
-    const form = formidable({
-      uploadDir: join(process.cwd(), 'public/trainData'),
-      keepExtensions: true
-    });
-
-    const { files } = await new Promise<{
-      fields: formidable.Fields;
-      files: formidable.Files;
-    }>((resolve, reject) => {
-      form.parse(req, (err, fields, files) => {
-        if (err) return reject(err);
-        resolve({ fields, files });
-      });
-    });
-    const file = files.file;
-
-    // 上传文件到 openai
-    // @ts-ignore
-    const uploadRes = await openai.createFile(
-      // @ts-ignore
-      fs.createReadStream(file.filepath),
-      'fine-tune',
-      { httpsAgent: httpsAgent(false) }
-    );
-    uploadFileId = uploadRes.data.id; // 记录上传文件的 ID
-
-    // 开始训练
-    const trainRes = await openai.createFineTune(
-      {
-        training_file: uploadFileId,
-        model: trainingType,
-        suffix: model.name,
-        n_epochs: 4
-      },
-      { httpsAgent: httpsAgent(false) }
-    );
-
-    trainId = trainRes.data.id; // 记录训练 ID
-
-    // 创建训练记录
-    await Training.create({
-      serviceName: 'openai',
-      tuneId: trainId,
-      status: TrainingStatusEnum.pending,
-      modelId
-    });
-
-    // 修改模型状态
-    await Model.findByIdAndUpdate(modelId, {
-      $inc: {
-        trainingTimes: +1
-      },
-      updateTime: new Date(),
-      status: ModelStatusEnum.training
-    });
-
-    jsonRes(res, {
-      data: 'start training'
-    });
-  } catch (err: any) {
-    /* 清除上传的文件，关闭训练记录 */
-    // @ts-ignore
-    if (openai) {
-      // @ts-ignore
-      uploadFileId && openai.deleteFile(uploadFileId, { httpsAgent: httpsAgent(false) });
-      // @ts-ignore
-      trainId && openai.cancelFineTune(trainId, { httpsAgent: httpsAgent(false) });
-    }
-
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

src/pages/api/model/update.ts

@@ -4,11 +4,12 @@ import { connectToDatabase } from '@/service/mongo';
 import { authToken } from '@/service/utils/tools';
 import { Model } from '@/service/models/model';
 import type { ModelUpdateParams } from '@/types/model';
+import { authModel } from '@/service/utils/auth';
 
 /* 获取我的模型 */
 export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
   try {
-    const { name, search, service, security, systemPrompt, intro, temperature } =
+    const { name, avatar, search, share, service, security, systemPrompt, temperature } =
       req.body as ModelUpdateParams;
     const { modelId } = req.query as { modelId: string };
     const { authorization } = req.headers;
@@ -26,6 +27,11 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
 
     await connectToDatabase();
 
+    await authModel({
+      modelId,
+      userId
+    });
+
     // 更新模型
     await Model.updateOne(
       {
@@ -34,11 +40,13 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
       },
       {
         name,
+        avatar,
         systemPrompt,
-        intro,
         temperature,
+        'share.isShare': share.isShare,
+        'share.isShareDetail': share.isShareDetail,
+        'share.intro': share.intro,
         search,
-        // service,
         security
       }
     );

src/pages/api/openapi/chat/chatGpt.ts

@@ -1,8 +1,7 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { connectToDatabase, Model } from '@/service/mongo';
-import { getOpenAIApi } from '@/service/utils/chat';
-import { httpsAgent, openaiChatFilter, authOpenApiKey } from '@/service/utils/tools';
-import { ChatCompletionRequestMessage, ChatCompletionRequestMessageRoleEnum } from 'openai';
+import { getOpenAIApi } from '@/service/utils/auth';
+import { axiosConfig, openaiChatFilter, authOpenApiKey } from '@/service/utils/tools';
 import { ChatItemType } from '@/types/chat';
 import { jsonRes } from '@/service/response';
 import { PassThrough } from 'stream';
@@ -74,17 +73,14 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       });
     }
 
-    // 格式化文本内容成 chatgpt 格式
-    const map = {
-      Human: ChatCompletionRequestMessageRoleEnum.User,
-      AI: ChatCompletionRequestMessageRoleEnum.Assistant,
-      SYSTEM: ChatCompletionRequestMessageRoleEnum.System
-    };
-    const formatPrompts: ChatCompletionRequestMessage[] = prompts.map((item: ChatItemType) => ({
-      role: map[item.obj],
-      content: item.value
-    }));
-    // console.log(formatPrompts);
+    // 控制在 tokens 数量，防止超出
+    const filterPrompts = openaiChatFilter({
+      model: model.service.chatModel,
+      prompts,
+      maxTokens: modelConstantsData.contextMaxToken - 500
+    });
+
+    // console.log(filterPrompts);
     // 计算温度
     const temperature = modelConstantsData.maxTemperature * (model.temperature / 10);
 
@@ -94,9 +90,8 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     const chatResponse = await chatAPI.createChatCompletion(
       {
         model: model.service.chatModel,
-        temperature: temperature,
-        // max_tokens: modelConstantsData.maxToken,
-        messages: formatPrompts,
+        temperature,
+        messages: filterPrompts,
         frequency_penalty: 0.5, // 越大，重复内容越少
         presence_penalty: -0.5, // 越大，越容易出现新内容
         stream: isStream,
@@ -105,16 +100,16 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       {
         timeout: 40000,
         responseType: isStream ? 'stream' : 'json',
-        httpsAgent: httpsAgent(true)
+        ...axiosConfig
       }
     );
 
     console.log('api response time:', `${(Date.now() - startTime) / 1000}s`);
 
-    step = 1;
     let responseContent = '';
 
     if (isStream) {
+      step = 1;
       const streamResponse = await gpt35StreamResponse({
         res,
         stream,
@@ -128,14 +123,12 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       });
     }
 
-    const promptsContent = formatPrompts.map((item) => item.content).join('');
-
     // 只有使用平台的 key 才计费
     pushChatBill({
       isPay: true,
       modelName: model.service.modelName,
       userId,
-      text: promptsContent + responseContent
+      messages: filterPrompts.concat({ role: 'assistant', content: responseContent })
     });
   } catch (err: any) {
     if (step === 1) {

src/pages/api/openapi/chat/lafGpt.ts

@@ -1,17 +1,16 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { connectToDatabase, Model } from '@/service/mongo';
-import { getOpenAIApi } from '@/service/utils/chat';
+import { getOpenAIApi } from '@/service/utils/auth';
 import { authOpenApiKey } from '@/service/utils/tools';
-import { httpsAgent, openaiChatFilter, systemPromptFilter } from '@/service/utils/tools';
-import { ChatCompletionRequestMessage, ChatCompletionRequestMessageRoleEnum } from 'openai';
+import { axiosConfig, openaiChatFilter, systemPromptFilter } from '@/service/utils/tools';
 import { ChatItemType } from '@/types/chat';
 import { jsonRes } from '@/service/response';
 import { PassThrough } from 'stream';
 import {
-  ChatModelNameEnum,
+  ModelNameEnum,
   modelList,
-  ChatModelNameMap,
-  ModelVectorSearchModeMap
+  ModelVectorSearchModeMap,
+  ChatModelEnum
 } from '@/constants/model';
 import { pushChatBill } from '@/service/events/pushBill';
 import { openaiCreateEmbedding, gpt35StreamResponse } from '@/service/utils/openai';
@@ -60,9 +59,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       throw new Error('找不到模型');
     }
 
-    const modelConstantsData = modelList.find(
-      (item) => item.model === ChatModelNameEnum.VECTOR_GPT
-    );
+    const modelConstantsData = modelList.find((item) => item.model === ModelNameEnum.VECTOR_GPT);
     if (!modelConstantsData) {
       throw new Error('模型已下架');
     }
@@ -74,7 +71,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     // 请求一次 chatgpt 拆解需求
     const promptResponse = await chatAPI.createChatCompletion(
       {
-        model: ChatModelNameMap[ChatModelNameEnum.GPT35],
+        model: ChatModelEnum.GPT35,
         temperature: 0,
         frequency_penalty: 0.5, // 越大，重复内容越少
         presence_penalty: -0.5, // 越大，越容易出现新内容
@@ -122,8 +119,8 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
         ]
       },
       {
-        timeout: 120000,
-        httpsAgent: httpsAgent(true)
+        timeout: 180000,
+        ...axiosConfig
       }
     );
 
@@ -163,30 +160,26 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
 
     const formatRedisPrompt: string[] = vectorSearch.rows.map((item) => `${item.q}\n${item.a}`);
 
-    // textArr 筛选，最多 2500 tokens
-    const systemPrompt = systemPromptFilter(formatRedisPrompt, 2500);
+    // system 筛选，最多 2500 tokens
+    const systemPrompt = systemPromptFilter({
+      model: model.service.chatModel,
+      prompts: formatRedisPrompt,
+      maxTokens: 2500
+    });
 
     prompts.unshift({
       obj: 'SYSTEM',
       value: `${model.systemPrompt} 知识库是最新的,下面是知识库内容:${systemPrompt}`
     });
 
-    // 控制在 tokens 数量，防止超出
-    const filterPrompts = openaiChatFilter(prompts, modelConstantsData.contextMaxToken);
+    // 控制上下文 tokens 数量，防止超出
+    const filterPrompts = openaiChatFilter({
+      model: model.service.chatModel,
+      prompts,
+      maxTokens: modelConstantsData.contextMaxToken - 500
+    });
 
-    // 格式化文本内容成 chatgpt 格式
-    const map = {
-      Human: ChatCompletionRequestMessageRoleEnum.User,
-      AI: ChatCompletionRequestMessageRoleEnum.Assistant,
-      SYSTEM: ChatCompletionRequestMessageRoleEnum.System
-    };
-    const formatPrompts: ChatCompletionRequestMessage[] = filterPrompts.map(
-      (item: ChatItemType) => ({
-        role: map[item.obj],
-        content: item.value
-      })
-    );
-    // console.log(formatPrompts);
+    // console.log(filterPrompts);
     // 计算温度
     const temperature = modelConstantsData.maxTemperature * (model.temperature / 10);
 
@@ -195,24 +188,24 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       {
         model: model.service.chatModel,
         temperature,
-        messages: formatPrompts,
+        messages: filterPrompts,
         frequency_penalty: 0.5, // 越大，重复内容越少
         presence_penalty: -0.5, // 越大，越容易出现新内容
         stream: isStream
       },
       {
-        timeout: 120000,
+        timeout: 180000,
         responseType: isStream ? 'stream' : 'json',
-        httpsAgent: httpsAgent(true)
+        ...axiosConfig
       }
     );
 
     console.log('code response. time:', `${(Date.now() - startTime) / 1000}s`);
 
-    step = 1;
     let responseContent = '';
 
     if (isStream) {
+      step = 1;
       const streamResponse = await gpt35StreamResponse({
         res,
         stream,
@@ -228,13 +221,11 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
 
     console.log('laf gpt done. time:', `${(Date.now() - startTime) / 1000}s`);
 
-    const promptsContent = formatPrompts.map((item) => item.content).join('');
-
     pushChatBill({
       isPay: true,
       modelName: model.service.modelName,
       userId,
-      text: promptsContent + responseContent
+      messages: filterPrompts.concat({ role: 'assistant', content: responseContent })
     });
   } catch (err: any) {
     if (step === 1) {

src/pages/api/openapi/chat/vectorGpt.ts

@@ -1,11 +1,20 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { connectToDatabase, Model } from '@/service/mongo';
-import { httpsAgent, systemPromptFilter, authOpenApiKey } from '@/service/utils/tools';
-import { ChatCompletionRequestMessage, ChatCompletionRequestMessageRoleEnum } from 'openai';
+import {
+  axiosConfig,
+  systemPromptFilter,
+  authOpenApiKey,
+  openaiChatFilter
+} from '@/service/utils/tools';
 import { ChatItemType } from '@/types/chat';
 import { jsonRes } from '@/service/response';
 import { PassThrough } from 'stream';
-import { modelList, ModelVectorSearchModeMap, ModelVectorSearchModeEnum } from '@/constants/model';
+import {
+  modelList,
+  ModelVectorSearchModeMap,
+  ModelVectorSearchModeEnum,
+  ModelDataStatusEnum
+} from '@/constants/model';
 import { pushChatBill } from '@/service/events/pushBill';
 import { openaiCreateEmbedding, gpt35StreamResponse } from '@/service/utils/openai';
 import dayjs from 'dayjs';
@@ -80,9 +89,15 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     const similarity = ModelVectorSearchModeMap[model.search.mode]?.similarity || 0.22;
     const vectorSearch = await PgClient.select<{ id: string; q: string; a: string }>('modelData', {
       fields: ['id', 'q', 'a'],
-      where: [['model_id', model._id], 'AND', `vector <=> '[${promptVector}]' < ${similarity}`],
+      where: [
+        ['status', ModelDataStatusEnum.ready],
+        'AND',
+        ['model_id', model._id],
+        'AND',
+        `vector <=> '[${promptVector}]' < ${similarity}`
+      ],
       order: [{ field: 'vector', mode: `<=> '[${promptVector}]'` }],
-      limit: 30
+      limit: 20
     });
 
     const formatRedisPrompt: string[] = vectorSearch.rows.map((item) => `${item.q}\n${item.a}`);
@@ -110,28 +125,35 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       });
     } else {
       // 有匹配或者低匹配度模式情况下，添加知识库内容。
-      // 系统提示词过滤，最多 2000 tokens
-      const systemPrompt = systemPromptFilter(formatRedisPrompt, 2000);
+      // 系统提示词过滤，最多 2500 tokens
+      const systemPrompt = systemPromptFilter({
+        model: model.service.chatModel,
+        prompts: formatRedisPrompt,
+        maxTokens: 2500
+      });
 
       prompts.unshift({
         obj: 'SYSTEM',
-        value: `${model.systemPrompt} 知识库是最新的,下面是知识库内容:当前时间为${dayjs().format(
-          'YYYY/MM/DD HH:mm:ss'
-        )}\n${systemPrompt}`
+        value: `
+${model.systemPrompt}
+${
+  model.search.mode === ModelVectorSearchModeEnum.hightSimilarity
+    ? `你只能从知识库选择内容回答.不在知识库内容拒绝回复`
+    : ''
+}
+知识库内容为: 当前时间为${dayjs().format('YYYY/MM/DD HH:mm:ss')}\n${systemPrompt}'
+`
       });
     }
 
-    // 格式化文本内容成 chatgpt 格式
-    const map = {
-      Human: ChatCompletionRequestMessageRoleEnum.User,
-      AI: ChatCompletionRequestMessageRoleEnum.Assistant,
-      SYSTEM: ChatCompletionRequestMessageRoleEnum.System
-    };
-    const formatPrompts: ChatCompletionRequestMessage[] = prompts.map((item: ChatItemType) => ({
-      role: map[item.obj],
-      content: item.value
-    }));
-    // console.log(formatPrompts);
+    // 控制在 tokens 数量，防止超出
+    const filterPrompts = openaiChatFilter({
+      model: model.service.chatModel,
+      prompts,
+      maxTokens: modelConstantsData.contextMaxToken - 500
+    });
+
+    // console.log(filterPrompts);
     // 计算温度
     const temperature = modelConstantsData.maxTemperature * (model.temperature / 10);
 
@@ -139,25 +161,26 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     const chatResponse = await chatAPI.createChatCompletion(
       {
         model: model.service.chatModel,
-        temperature: temperature,
-        messages: formatPrompts,
+        temperature,
+        messages: filterPrompts,
         frequency_penalty: 0.5, // 越大，重复内容越少
         presence_penalty: -0.5, // 越大，越容易出现新内容
-        stream: isStream
+        stream: isStream,
+        stop: ['.!?。']
       },
       {
-        timeout: 120000,
+        timeout: 180000,
         responseType: isStream ? 'stream' : 'json',
-        httpsAgent: httpsAgent(true)
+        ...axiosConfig
       }
     );
 
     console.log('api response time:', `${(Date.now() - startTime) / 1000}s`);
 
-    step = 1;
     let responseContent = '';
 
     if (isStream) {
+      step = 1;
       const streamResponse = await gpt35StreamResponse({
         res,
         stream,
@@ -171,12 +194,11 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       });
     }
 
-    const promptsContent = formatPrompts.map((item) => item.content).join('');
     pushChatBill({
       isPay: true,
       modelName: model.service.modelName,
       userId,
-      text: promptsContent + responseContent
+      messages: filterPrompts.concat({ role: 'assistant', content: responseContent })
     });
     // jsonRes(res);
   } catch (err: any) {

src/pages/api/user/checkPayResult.ts

@@ -2,9 +2,11 @@ import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { connectToDatabase, User, Pay } from '@/service/mongo';
 import { authToken } from '@/service/utils/tools';
-import { PaySchema } from '@/types/mongoSchema';
+import { PaySchema, UserModelSchema } from '@/types/mongoSchema';
 import dayjs from 'dayjs';
 import { getPayResult } from '@/service/utils/wxpay';
+import { pushPromotionRecord } from '@/service/utils/promotion';
+import { PRICE_SCALE } from '@/constants/common';
 
 /* 校验支付结果 */
 export default async function handler(req: NextApiRequest, res: NextApiResponse) {
@@ -26,6 +28,17 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       throw new Error('订单已结算');
     }
 
+    // 获取当前用户
+    const user = await User.findById(userId);
+    if (!user) {
+      throw new Error('找不到用户');
+    }
+    // 获取邀请者
+    let inviter: UserModelSchema | null = null;
+    if (user.inviterId) {
+      inviter = await User.findById(user.inviterId);
+    }
+
     const payRes = await getPayResult(payOrder.orderId);
 
     // 校验下是否超过一天
@@ -50,6 +63,16 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
           await User.findByIdAndUpdate(userId, {
             $inc: { balance: payOrder.price }
           });
+          // 推广佣金发放
+          if (inviter) {
+            pushPromotionRecord({
+              userId: inviter._id,
+              objUId: userId,
+              type: 'invite',
+              // amount 单位为元，需要除以缩放比例，最后乘比例
+              amount: (payOrder.price / PRICE_SCALE) * inviter.promotion.rate * 0.01
+            });
+          }
           jsonRes(res, {
             data: '支付成功'
           });

src/pages/api/user/getPayOrders.ts

@@ -15,7 +15,8 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     await connectToDatabase();
 
     const records = await Pay.find({
-      userId
+      userId,
+      status: { $ne: 'CLOSED' }
     }).sort({ createTime: -1 });
 
     jsonRes(res, {

src/pages/api/user/promotion/getPromotionData.ts

@@ -0,0 +1,70 @@
+// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { connectToDatabase, User, promotionRecord } from '@/service/mongo';
+import { authToken } from '@/service/utils/tools';
+import mongoose from 'mongoose';
+
+export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+  try {
+    const { authorization } = req.headers;
+
+    if (!authorization) {
+      throw new Error('缺少登录凭证');
+    }
+
+    const userId = await authToken(authorization);
+
+    await connectToDatabase();
+
+    const invitedAmount = await User.countDocuments({
+      inviterId: userId
+    });
+
+    // 计算累计合
+    const countHistory: { totalAmount: number }[] = await promotionRecord.aggregate([
+      { $match: { userId: new mongoose.Types.ObjectId(userId), amount: { $gt: 0 } } },
+      {
+        $group: {
+          _id: null, // 分组条件，这里使用 null 表示不分组
+          totalAmount: { $sum: '$amount' } // 计算 amount 字段的总和
+        }
+      },
+      {
+        $project: {
+          _id: false, // 排除 _id 字段
+          totalAmount: true // 只返回 totalAmount 字段
+        }
+      }
+    ]);
+    // 计算剩余金额
+    const countResidue: { totalAmount: number }[] = await promotionRecord.aggregate([
+      { $match: { userId: new mongoose.Types.ObjectId(userId) } },
+      {
+        $group: {
+          _id: null, // 分组条件，这里使用 null 表示不分组
+          totalAmount: { $sum: '$amount' } // 计算 amount 字段的总和
+        }
+      },
+      {
+        $project: {
+          _id: false, // 排除 _id 字段
+          totalAmount: true // 只返回 totalAmount 字段
+        }
+      }
+    ]);
+
+    jsonRes(res, {
+      data: {
+        invitedAmount,
+        historyAmount: countHistory[0]?.totalAmount || 0,
+        residueAmount: countResidue[0]?.totalAmount || 0
+      }
+    });
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}

src/pages/api/user/promotion/getPromotions.ts

@@ -1,31 +1,31 @@
+// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
-import { connectToDatabase, DataItem } from '@/service/mongo';
+import { connectToDatabase, promotionRecord } from '@/service/mongo';
 import { authToken } from '@/service/utils/tools';
 
 export default async function handler(req: NextApiRequest, res: NextApiResponse) {
   try {
-    let {
-      dataId,
-      pageNum = 1,
-      pageSize = 10
-    } = req.query as { dataId: string; pageNum: string; pageSize: string };
+    const { authorization } = req.headers;
+    let { pageNum = 1, pageSize = 10 } = req.query as { pageNum: string; pageSize: string };
     pageNum = +pageNum;
     pageSize = +pageSize;
-
-    if (!dataId) {
-      throw new Error('参数错误');
+    if (!authorization) {
+      throw new Error('缺少登录凭证');
     }
+
+    const userId = await authToken(authorization);
+
     await connectToDatabase();
 
-    const { authorization } = req.headers;
-
-    await authToken(authorization);
-
-    const dataItems = await DataItem.find({
-      dataId
-    })
-      .sort({ _id: -1 }) // 按照创建时间倒序排列
+    const data = await promotionRecord
+      .find(
+        {
+          userId
+        },
+        '_id createTime type amount'
+      )
+      .sort({ _id: -1 })
       .skip((pageNum - 1) * pageSize)
       .limit(pageSize);
 
@@ -33,9 +33,9 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       data: {
         pageNum,
         pageSize,
-        data: dataItems,
-        total: await DataItem.countDocuments({
-          dataId
+        data,
+        total: await promotionRecord.countDocuments({
+          userId
         })
       }
     });

src/pages/api/user/sendAuthCode.ts

@@ -5,6 +5,8 @@ import { AuthCode } from '@/service/models/authCode';
 import { connectToDatabase } from '@/service/mongo';
 import { sendPhoneCode, sendEmailCode } from '@/service/utils/sendNote';
 import { UserAuthTypeEnum } from '@/constants/common';
+import { customAlphabet } from 'nanoid';
+const nanoid = customAlphabet('123456789', 6);
 
 export default async function handler(req: NextApiRequest, res: NextApiResponse) {
   try {
@@ -16,10 +18,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
 
     await connectToDatabase();
 
-    let code = '';
-    for (let i = 0; i < 6; i++) {
-      code += Math.floor(Math.random() * 10);
-    }
+    const code = nanoid();
 
     // 判断 1 分钟内是否有重复数据
     const authCode = await AuthCode.findOne({

src/pages/chat/components/Empty.tsx

@@ -3,12 +3,7 @@ import { Card, Box } from '@chakra-ui/react';
 import { useMarkdown } from '@/hooks/useMarkdown';
 import Markdown from '@/components/Markdown';
 
-const Empty = ({ intro }: { intro: string }) => {
-  const Header = ({ children }: { children: string }) => (
-    <Box fontSize={'lg'} fontWeight={'bold'} textAlign={'center'} pb={2}>
-      {children}
-    </Box>
-  );
+const Empty = ({ modelName, intro }: { modelName: string; intro: string }) => {
   const { data: chatProblem } = useMarkdown({ url: '/chatProblem.md' });
   const { data: versionIntro } = useMarkdown({ url: '/versionIntro.md' });
 
@@ -24,7 +19,9 @@ const Empty = ({ intro }: { intro: string }) => {
     >
       {!!intro && (
         <Card p={4} mb={10}>
-          <Header>模型介绍</Header>
+          <Box fontSize={'xl'} fontWeight={'600'} textAlign={'center'} pb={2}>
+            {modelName} 介绍
+          </Box>
           <Box whiteSpace={'pre-line'}>{intro}</Box>
         </Card>
       )}

src/pages/chat/components/SlideBar.tsx

@@ -1,4 +1,4 @@
-import React, { useState, useEffect } from 'react';
+import React, { useRef, useEffect, useMemo } from 'react';
 import { AddIcon, ChatIcon, DeleteIcon, MoonIcon, SunIcon } from '@chakra-ui/icons';
 import {
   Box,
@@ -11,28 +11,19 @@ import {
   Flex,
   Divider,
   IconButton,
-  Modal,
-  ModalOverlay,
-  ModalContent,
-  ModalHeader,
-  ModalFooter,
-  ModalBody,
-  ModalCloseButton,
   useDisclosure,
   useColorMode,
   useColorModeValue
 } from '@chakra-ui/react';
 import { useUserStore } from '@/store/user';
-import { useChatStore } from '@/store/chat';
-import { useQuery } from '@tanstack/react-query';
+import { useMutation, useQuery } from '@tanstack/react-query';
 import { useRouter } from 'next/router';
 import { getToken } from '@/utils/user';
 import MyIcon from '@/components/Icon';
-import { useCopyData } from '@/utils/tools';
-import Markdown from '@/components/Markdown';
-import { getChatSiteId } from '@/api/chat';
 import WxConcat from '@/components/WxConcat';
-import { useMarkdown } from '@/hooks/useMarkdown';
+import { getChatHistory, delChatHistoryById } from '@/api/chat';
+import { getCollectionModels } from '@/api/model';
+import { modelList } from '@/constants/model';
 
 const SlideBar = ({
   chatId,
@@ -42,32 +33,62 @@ const SlideBar = ({
 }: {
   chatId: string;
   modelId: string;
-  resetChat: () => void;
+  resetChat: (modelId?: string, chatId?: string) => void;
   onClose: () => void;
 }) => {
   const router = useRouter();
   const { colorMode, toggleColorMode } = useColorMode();
-  const { copyData } = useCopyData();
   const { myModels, getMyModels } = useUserStore();
-  const { chatHistory, removeChatHistoryByWindowId } = useChatStore();
-  const [hasReady, setHasReady] = useState(false);
-  const { isOpen: isOpenShare, onOpen: onOpenShare, onClose: onCloseShare } = useDisclosure();
   const { isOpen: isOpenWx, onOpen: onOpenWx, onClose: onCloseWx } = useDisclosure();
-  const { data: shareHint } = useMarkdown({ url: '/chatProblem.md' });
+  const preChatId = useRef('chatId'); // 用于校验上一次chatId的情况,判断是否需要刷新历史记录
 
-  const { isSuccess } = useQuery(['init'], getMyModels, {
+  const { isSuccess } = useQuery(['getMyModels'], getMyModels, {
     cacheTime: 5 * 60 * 1000
   });
 
+  const { data: collectionModels = [] } = useQuery([getCollectionModels], getCollectionModels);
+
+  const models = useMemo(() => {
+    const myModelList = myModels.map((item) => ({
+      id: item._id,
+      name: item.name,
+      icon: modelList.find((model) => model.model === item?.service?.modelName)?.icon || 'model'
+    }));
+    const collectionList = collectionModels
+      .map((item) => ({
+        id: item._id,
+        name: item.name,
+        icon: 'collectionSolid' as any
+      }))
+      .filter((model) => !myModelList.find((item) => item.id === model.id));
+
+    return myModelList.concat(collectionList);
+  }, [collectionModels, myModels]);
+
+  const { data: chatHistory = [], mutate: loadChatHistory } = useMutation({
+    mutationFn: getChatHistory
+  });
+
+  // update history
   useEffect(() => {
-    setHasReady(true);
-  }, []);
+    if (chatId && preChatId.current === '') {
+      loadChatHistory();
+    }
+    preChatId.current = chatId;
+  }, [chatId, loadChatHistory]);
+
+  // init history
+  useEffect(() => {
+    setTimeout(() => {
+      loadChatHistory();
+    }, 1000);
+  }, [loadChatHistory]);
 
   const RenderHistory = () => (
     <>
       {chatHistory.map((item) => (
         <Flex
-          key={item.chatId}
+          key={item._id}
           alignItems={'center'}
           p={3}
           borderRadius={'md'}
@@ -78,15 +99,16 @@ const SlideBar = ({
           }}
           fontSize={'xs'}
           border={'1px solid transparent'}
-          {...(item.chatId === chatId
+          {...(item._id === chatId
             ? {
                 borderColor: 'rgba(255,255,255,0.5)',
                 backgroundColor: 'rgba(255,255,255,0.1)'
               }
             : {})}
           onClick={() => {
-            if (item.chatId === chatId) return;
-            router.replace(`/chat?chatId=${item.chatId}`);
+            if (item._id === chatId) return;
+            preChatId.current = 'chatId';
+            resetChat(item.modelId, item._id);
             onClose();
           }}
         >
@@ -100,12 +122,14 @@ const SlideBar = ({
               variant={'unstyled'}
               aria-label={'edit'}
               size={'xs'}
-              onClick={(e) => {
-                removeChatHistoryByWindowId(item.chatId);
-                if (item.chatId === chatId) {
+              onClick={async (e) => {
+                e.stopPropagation();
+
+                await delChatHistoryById(item._id);
+                loadChatHistory();
+                if (item._id === chatId) {
                   resetChat();
                 }
-                e.stopPropagation();
               }}
             />
           </Box>
@@ -155,58 +179,51 @@ const SlideBar = ({
           mb={4}
           mx={'auto'}
           leftIcon={<AddIcon />}
-          onClick={resetChat}
+          onClick={() => resetChat()}
         >
           新对话
         </Button>
       )}
-
       {/* 我的模型 & 历史记录 折叠框*/}
       <Box flex={'1 0 0'} px={3} h={0} overflowY={'auto'}>
-        <Accordion defaultIndex={[0]} allowMultiple>
-          {isSuccess && (
-            <AccordionItem borderTop={0} borderBottom={0}>
-              <AccordionButton borderRadius={'md'} pl={1}>
-                <Box as="span" flex="1" textAlign="left">
-                  其他模型
-                </Box>
-                <AccordionIcon />
-              </AccordionButton>
-              <AccordionPanel pb={4} px={0}>
-                {myModels.map((item) => (
-                  <Flex
-                    key={item._id}
-                    alignItems={'center'}
-                    p={3}
-                    borderRadius={'md'}
-                    mb={2}
-                    cursor={'pointer'}
-                    _hover={{
-                      backgroundColor: 'rgba(255,255,255,0.1)'
-                    }}
-                    fontSize={'xs'}
-                    border={'1px solid transparent'}
-                    {...(item._id === modelId
-                      ? {
-                          borderColor: 'rgba(255,255,255,0.5)',
-                          backgroundColor: 'rgba(255,255,255,0.1)'
-                        }
-                      : {})}
-                    onClick={async () => {
-                      if (item._id === modelId) return;
-                      router.replace(`/chat?chatId=${await getChatSiteId(item._id)}`);
-                      onClose();
-                    }}
-                  >
-                    <MyIcon name="model" mr={2} fill={'white'} w={'16px'} h={'16px'} />
-                    <Box className={'textEllipsis'} flex={'1 0 0'} w={0}>
-                      {item.name}
-                    </Box>
-                  </Flex>
-                ))}
-              </AccordionPanel>
-            </AccordionItem>
-          )}
+        {isSuccess && (
+          <>
+            <Box>
+              {models.map((item) => (
+                <Flex
+                  key={item.id}
+                  alignItems={'center'}
+                  p={3}
+                  borderRadius={'md'}
+                  mb={2}
+                  cursor={'pointer'}
+                  _hover={{
+                    backgroundColor: 'rgba(255,255,255,0.1)'
+                  }}
+                  fontSize={'xs'}
+                  border={'1px solid transparent'}
+                  {...(item.id === modelId
+                    ? {
+                        borderColor: 'rgba(255,255,255,0.5)',
+                        backgroundColor: 'rgba(255,255,255,0.1)'
+                      }
+                    : {})}
+                  onClick={async () => {
+                    if (item.id === modelId) return;
+                    resetChat(item.id);
+                    onClose();
+                  }}
+                >
+                  <MyIcon name={item.icon} mr={2} color={'white'} w={'16px'} h={'16px'} />
+                  <Box className={'textEllipsis'} flex={'1 0 0'} w={0}>
+                    {item.name}
+                  </Box>
+                </Flex>
+              ))}
+            </Box>
+          </>
+        )}
+        <Accordion allowToggle>
           <AccordionItem borderTop={0} borderBottom={0}>
             <AccordionButton borderRadius={'md'} pl={1}>
               <Box as="span" flex="1" textAlign="left">
@@ -215,7 +232,7 @@ const SlideBar = ({
               <AccordionIcon />
             </AccordionButton>
             <AccordionPanel pb={0} px={0}>
-              {hasReady && <RenderHistory />}
+              <RenderHistory />
             </AccordionPanel>
           </AccordionItem>
         </Accordion>
@@ -230,12 +247,6 @@ const SlideBar = ({
         </>
       </RenderButton>
 
-      {/* <RenderButton onClick={onOpenShare}>
-        <>
-          <MyIcon name="share" fill={'white'} w={'16px'} h={'16px'} mr={4} />
-          分享
-        </>
-      </RenderButton> */}
       <RenderButton onClick={() => router.push('/number/setting')}>
         <>
           <MyIcon name="pay" fill={'white'} w={'16px'} h={'16px'} mr={4} />
@@ -260,49 +271,6 @@ const SlideBar = ({
         />
       </Flex>
 
-      {/* 分享提示modal */}
-      <Modal isOpen={isOpenShare} onClose={onCloseShare}>
-        <ModalOverlay />
-        <ModalContent color={useColorModeValue('blackAlpha.700', 'white')}>
-          <ModalHeader>分享对话</ModalHeader>
-          <ModalCloseButton />
-          <ModalBody>
-            <Markdown source={shareHint} />
-          </ModalBody>
-
-          <ModalFooter>
-            <Button colorScheme="gray" variant={'outline'} mr={3} onClick={onCloseShare}>
-              取消
-            </Button>
-            {getToken() && (
-              <Button
-                variant="outline"
-                mr={3}
-                onClick={async () => {
-                  copyData(
-                    `${location.origin}/chat?chatId=${await getChatSiteId(modelId)}`,
-                    '已复制分享链接'
-                  );
-                  onCloseShare();
-                  onClose();
-                }}
-              >
-                分享空白对话
-              </Button>
-            )}
-
-            <Button
-              onClick={() => {
-                copyData(`${location.origin}/chat?chatId=${chatId}`, '已复制分享链接');
-                onCloseShare();
-                onClose();
-              }}
-            >
-              分享聊天记录
-            </Button>
-          </ModalFooter>
-        </ModalContent>
-      </Modal>
       {/* wx 联系 */}
       {isOpenWx && <WxConcat onClose={onCloseWx} />}
     </Flex>

src/pages/chat/index.module.scss

@@ -0,0 +1,11 @@
+.stopIcon {
+  animation: zoomStopIcon 0.4s infinite alternate;
+}
+@keyframes zoomStopIcon {
+  0% {
+    transform: scale(0.8);
+  }
+  100% {
+    transform: scale(1.2);
+  }
+}

src/pages/chat/index.tsx

@@ -1,9 +1,9 @@
 import React, { useCallback, useState, useRef, useMemo, useEffect } from 'react';
 import { useRouter } from 'next/router';
 import Image from 'next/image';
-import { getInitChatSiteInfo, getChatSiteId, delChatRecordByIndex, postSaveChat } from '@/api/chat';
+import { getInitChatSiteInfo, delChatRecordByIndex, postSaveChat } from '@/api/chat';
 import type { InitChatResponse } from '@/api/response/chat';
-import { ChatSiteItemType } from '@/types/chat';
+import type { ChatItemType } from '@/types/chat';
 import {
   Textarea,
   Box,
@@ -21,44 +21,55 @@ import {
 import { useToast } from '@/hooks/useToast';
 import { useScreen } from '@/hooks/useScreen';
 import { useQuery } from '@tanstack/react-query';
-import { ChatModelNameEnum } from '@/constants/model';
+import { ModelNameEnum } from '@/constants/model';
 import dynamic from 'next/dynamic';
 import { useGlobalStore } from '@/store/global';
-import { useChatStore } from '@/store/chat';
 import { useCopyData } from '@/utils/tools';
 import { streamFetch } from '@/api/fetch';
 import Icon from '@/components/Icon';
-import { modelList } from '@/constants/model';
+import MyIcon from '@/components/Icon';
+import { throttle } from 'lodash';
+import { customAlphabet } from 'nanoid';
+const nanoid = customAlphabet('abcdefghijklmnopqrstuvwxyz1234567890', 5);
 
 const SlideBar = dynamic(() => import('./components/SlideBar'));
 const Empty = dynamic(() => import('./components/Empty'));
 const Markdown = dynamic(() => import('@/components/Markdown'));
 
+import styles from './index.module.scss';
+
 const textareaMinH = '22px';
 
+export type ChatSiteItemType = {
+  id: string;
+  status: 'loading' | 'finish';
+} & ChatItemType;
+
 interface ChatType extends InitChatResponse {
   history: ChatSiteItemType[];
 }
 
-const Chat = ({ chatId }: { chatId: string }) => {
+const Chat = ({ modelId, chatId }: { modelId: string; chatId: string }) => {
+  const router = useRouter();
+
   const ChatBox = useRef<HTMLDivElement>(null);
   const TextareaDom = useRef<HTMLTextAreaElement>(null);
 
-  const { toast } = useToast();
-  const router = useRouter();
-
   // 中断请求
   const controller = useRef(new AbortController());
+  const isResetPage = useRef(false);
+
   const [chatData, setChatData] = useState<ChatType>({
-    chatId: '',
-    modelId: '',
+    chatId,
+    modelId,
     name: '',
-    avatar: '',
+    avatar: '/icon/logo.png',
     intro: '',
     chatModel: '',
     modelName: '',
     history: []
   }); // 聊天框整体数据
+
   const [inputVal, setInputVal] = useState(''); // 输入的内容
 
   const isChatting = useMemo(
@@ -67,22 +78,34 @@ const Chat = ({ chatId }: { chatId: string }) => {
   );
   const { isOpen: isOpenSlider, onClose: onCloseSlider, onOpen: onOpenSlider } = useDisclosure();
 
+  const { toast } = useToast();
   const { copyData } = useCopyData();
   const { isPc, media } = useScreen();
   const { setLoading } = useGlobalStore();
-  const { pushChatHistory } = useChatStore();
 
   // 滚动到底部
-  const scrollToBottom = useCallback(() => {
-    setTimeout(() => {
-      ChatBox.current &&
-        ChatBox.current.scrollTo({
-          top: ChatBox.current.scrollHeight,
-          behavior: 'smooth'
-        });
-    }, 100);
+  const scrollToBottom = useCallback((behavior: 'smooth' | 'auto' = 'smooth') => {
+    if (!ChatBox.current) return;
+    ChatBox.current.scrollTo({
+      top: ChatBox.current.scrollHeight,
+      behavior
+    });
   }, []);
 
+  // 聊天信息生成中……获取当前滚动条位置，判断是否需要滚动到底部
+  // eslint-disable-next-line react-hooks/exhaustive-deps
+  const generatingMessage = useCallback(
+    throttle(() => {
+      if (!ChatBox.current) return;
+      const isBottom =
+        ChatBox.current.scrollTop + ChatBox.current.clientHeight + 150 >=
+        ChatBox.current.scrollHeight;
+
+      isBottom && scrollToBottom('auto');
+    }, 100),
+    []
+  );
+
   // 重置输入内容
   const resetInputVal = useCallback((val: string) => {
     setInputVal(val);
@@ -95,40 +118,105 @@ const Chat = ({ chatId }: { chatId: string }) => {
     }, 100);
   }, []);
 
-  // 重载对话
-  const resetChat = useCallback(async () => {
-    if (!chatData) return;
-    try {
-      router.replace(`/chat?chatId=${await getChatSiteId(chatData.modelId)}`);
-    } catch (error: any) {
-      toast({
-        title: error?.message || '生成新对话失败',
-        status: 'warning'
-      });
-    }
-    onCloseSlider();
-  }, [chatData, onCloseSlider, router, toast]);
+  // 获取对话信息
+  const loadChatInfo = useCallback(
+    async ({
+      modelId,
+      chatId,
+      isLoading = false,
+      isScroll = false
+    }: {
+      modelId: string;
+      chatId: string;
+      isLoading?: boolean;
+      isScroll?: boolean;
+    }) => {
+      isLoading && setLoading(true);
+      try {
+        const res = await getInitChatSiteInfo(modelId, chatId);
+
+        setChatData({
+          ...res,
+          history: res.history.map((item: any, i) => ({
+            obj: item.obj,
+            value: item.value,
+            id: item.id || `${nanoid()}-${i}`,
+            status: 'finish'
+          }))
+        });
+        if (isScroll && res.history.length > 0) {
+          setTimeout(() => {
+            scrollToBottom('auto');
+          }, 1200);
+        }
+      } catch (e: any) {
+        toast({
+          title: e?.message || '获取对话信息异常,请检查地址',
+          status: 'error',
+          isClosable: true,
+          duration: 5000
+        });
+        router.back();
+      }
+      setLoading(false);
+      return null;
+    },
+    [router, scrollToBottom, setLoading, toast]
+  );
+
+  // 重载新的对话
+  const resetChat = useCallback(
+    async (modelId = chatData.modelId, chatId = '') => {
+      // 强制中断流
+      isResetPage.current = true;
+      controller.current?.abort();
+
+      try {
+        router.replace(`/chat?modelId=${modelId}&chatId=${chatId}`);
+        loadChatInfo({
+          modelId,
+          chatId,
+          isLoading: true,
+          isScroll: true
+        });
+      } catch (error: any) {
+        toast({
+          title: error?.message || '生成新对话失败',
+          status: 'warning'
+        });
+      }
+      onCloseSlider();
+    },
+    [chatData.modelId, loadChatInfo, onCloseSlider, router, toast]
+  );
 
   // gpt 对话
   const gptChatPrompt = useCallback(
     async (prompts: ChatSiteItemType) => {
       const urlMap: Record<string, string> = {
-        [ChatModelNameEnum.GPT35]: '/api/chat/chatGpt',
-        [ChatModelNameEnum.VECTOR_GPT]: '/api/chat/vectorGpt'
+        [ModelNameEnum.GPT35]: '/api/chat/chatGpt',
+        [ModelNameEnum.VECTOR_GPT]: '/api/chat/vectorGpt'
       };
 
       if (!urlMap[chatData.modelName]) return Promise.reject('找不到模型');
 
+      // create abort obj
+      const abortSignal = new AbortController();
+      controller.current = abortSignal;
+      isResetPage.current = false;
+
       const prompt = {
         obj: prompts.obj,
         value: prompts.value
       };
+
       // 流请求，获取数据
-      const res = await streamFetch({
+      const responseText = await streamFetch({
         url: urlMap[chatData.modelName],
         data: {
           prompt,
-          chatId
+          chatId,
+          modelId
         },
         onMessage: (text: string) => {
           setChatData((state) => ({
@@ -141,22 +229,33 @@ const Chat = ({ chatId }: { chatId: string }) => {
               };
             })
           }));
+          generatingMessage();
         },
-        abortSignal: controller.current
+        abortSignal
       });
 
+      // 重置了页面，说明退出了当前聊天, 不缓存任何内容
+      if (isResetPage.current) {
+        return;
+      }
+
+      let newChatId = '';
       // 保存对话信息
       try {
-        await postSaveChat({
+        newChatId = await postSaveChat({
+          modelId,
           chatId,
           prompts: [
             prompt,
             {
               obj: 'AI',
-              value: res as string
+              value: responseText
             }
           ]
         });
+        if (newChatId) {
+          router.replace(`/chat?modelId=${modelId}&chatId=${newChatId}`);
+        }
       } catch (err) {
         toast({
           title: '对话出现异常, 继续对话会导致上下文丢失，请刷新页面',
@@ -166,9 +265,10 @@ const Chat = ({ chatId }: { chatId: string }) => {
         });
       }
 
-      // 设置完成状态
+      // 设置聊天内容为完成状态
       setChatData((state) => ({
         ...state,
+        chatId: newChatId || state.chatId, // 如果有 Id，说明是新创建的对话
         history: state.history.map((item, index) => {
           if (index !== state.history.length - 1) return item;
           return {
@@ -178,7 +278,7 @@ const Chat = ({ chatId }: { chatId: string }) => {
         })
       }));
     },
-    [chatData.modelName, chatId, toast]
+    [chatData.modelName, chatId, generatingMessage, modelId, router, toast]
   );
 
   /**
@@ -196,7 +296,7 @@ const Chat = ({ chatId }: { chatId: string }) => {
     // 去除空行
     const val = inputVal.trim().replace(/\n\s*/g, '\n');
 
-    if (!chatData?.modelId || !val) {
+    if (!val) {
       toast({
         title: '内容为空',
         status: 'warning'
@@ -207,11 +307,13 @@ const Chat = ({ chatId }: { chatId: string }) => {
     const newChatList: ChatSiteItemType[] = [
       ...chatData.history,
       {
+        id: nanoid(),
         obj: 'Human',
         value: val,
         status: 'finish'
       },
       {
+        id: nanoid(),
         obj: 'AI',
         value: '',
         status: 'loading'
@@ -226,19 +328,12 @@ const Chat = ({ chatId }: { chatId: string }) => {
 
     // 清空输入内容
     resetInputVal('');
-    scrollToBottom();
+    setTimeout(() => {
+      scrollToBottom();
+    }, 100);
 
     try {
       await gptChatPrompt(newChatList[newChatList.length - 2]);
-
-      // 如果是 Human 第一次发送，插入历史记录
-      const humanChat = newChatList.filter((item) => item.obj === 'Human');
-      if (humanChat.length === 1) {
-        pushChatHistory({
-          chatId,
-          title: humanChat[0].value
-        });
-      }
     } catch (err: any) {
       toast({
         title: typeof err === 'string' ? err : err?.message || '聊天出错了~',
@@ -254,17 +349,7 @@ const Chat = ({ chatId }: { chatId: string }) => {
         history: newChatList.slice(0, newChatList.length - 2)
       }));
     }
-  }, [
-    inputVal,
-    chatData,
-    isChatting,
-    resetInputVal,
-    scrollToBottom,
-    toast,
-    gptChatPrompt,
-    pushChatHistory,
-    chatId
-  ]);
+  }, [isChatting, inputVal, chatData.history, resetInputVal, toast, scrollToBottom, gptChatPrompt]);
 
   // 删除一句话
   const delChatRecord = useCallback(
@@ -296,50 +381,23 @@ const Chat = ({ chatId }: { chatId: string }) => {
   );
 
   // 初始化聊天框
-  useQuery(
-    ['init', chatId],
-    () => {
-      setLoading(true);
-      return getInitChatSiteInfo(chatId);
-    },
-    {
-      onSuccess(res) {
-        setChatData({
-          ...res,
-          history: res.history.map((item) => ({
-            ...item,
-            status: 'finish'
-          }))
-        });
-        if (res.history.length > 0) {
-          setTimeout(() => {
-            scrollToBottom();
-          }, 500);
-        }
-      },
-      onError(e: any) {
-        toast({
-          title: e?.message || '初始化异常,请检查地址',
-          status: 'error',
-          isClosable: true,
-          duration: 5000
-        });
-        router.push('/model/list');
-      },
-      onSettled() {
-        setLoading(false);
-      }
-    }
+  useQuery(['init'], () =>
+    loadChatInfo({
+      modelId,
+      chatId,
+      isLoading: true,
+      isScroll: true
+    })
   );
 
   // 更新流中断对象
   useEffect(() => {
-    controller.current = new AbortController();
     return () => {
       // eslint-disable-next-line react-hooks/exhaustive-deps
       controller.current?.abort();
     };
-  }, [chatId]);
+  }, []);
+
   return (
     <Flex
       h={'100%'}
@@ -351,7 +409,7 @@ const Chat = ({ chatId }: { chatId: string }) => {
           <SlideBar
             resetChat={resetChat}
             chatId={chatId}
-            modelId={chatData.modelId}
+            modelId={modelId}
             onClose={onCloseSlider}
           />
         </Box>
@@ -382,7 +440,7 @@ const Chat = ({ chatId }: { chatId: string }) => {
               <SlideBar
                 resetChat={resetChat}
                 chatId={chatId}
-                modelId={chatData.modelId}
+                modelId={modelId}
                 onClose={onCloseSlider}
               />
             </DrawerContent>
@@ -399,7 +457,7 @@ const Chat = ({ chatId }: { chatId: string }) => {
         <Box ref={ChatBox} pb={[4, 0]} flex={'1 0 0'} h={0} w={'100%'} overflowY={'auto'}>
           {chatData.history.map((item, index) => (
             <Box
-              key={index}
+              key={item.id}
               py={media(9, 6)}
               px={media(4, 2)}
               backgroundColor={
@@ -409,11 +467,15 @@ const Chat = ({ chatId }: { chatId: string }) => {
               borderBottom={'1px solid rgba(0,0,0,0.1)'}
             >
               <Flex maxW={'750px'} m={'auto'} alignItems={'flex-start'}>
-                <Menu>
+                <Menu autoSelect={false}>
                   <MenuButton as={Box} mr={media(4, 1)} cursor={'pointer'}>
                     <Image
-                      src={item.obj === 'Human' ? '/icon/human.png' : '/icon/logo.png'}
-                      alt="/icon/logo.png"
+                      src={
+                        item.obj === 'Human'
+                          ? '/icon/human.png'
+                          : chatData.avatar || '/icon/logo.png'
+                      }
+                      alt="avatar"
                       width={media(30, 20)}
                       height={media(30, 20)}
                     />
@@ -433,10 +495,35 @@ const Chat = ({ chatId }: { chatId: string }) => {
                     <Box whiteSpace={'pre-wrap'}>{item.value}</Box>
                   )}
                 </Box>
+                {isPc && (
+                  <Flex h={'100%'} flexDirection={'column'} ml={2} w={'14px'} height={'100%'}>
+                    <Box minH={'40px'} flex={1}>
+                      <MyIcon
+                        name="copy"
+                        w={'14px'}
+                        cursor={'pointer'}
+                        color={'alphaBlack.400'}
+                        onClick={() => onclickCopy(item.value)}
+                      />
+                    </Box>
+                    <MyIcon
+                      name="delete"
+                      w={'14px'}
+                      cursor={'pointer'}
+                      color={'alphaBlack.400'}
+                      _hover={{
+                        color: 'red.600'
+                      }}
+                      onClick={() => delChatRecord(index)}
+                    />
+                  </Flex>
+                )}
               </Flex>
             </Box>
           ))}
-          {chatData.history.length === 0 && <Empty intro={chatData.intro} />}
+          {chatData.history.length === 0 && (
+            <Empty modelName={chatData.name} intro={chatData.intro} />
+          )}
         </Box>
         {/* 发送区 */}
         <Box m={media('20px auto', '0 auto')} w={'100%'} maxW={media('min(750px, 100%)', 'auto')}>
@@ -491,19 +578,23 @@ const Chat = ({ chatId }: { chatId: string }) => {
             <Flex
               alignItems={'center'}
               justifyContent={'center'}
-              h={'30px'}
-              w={'30px'}
+              h={'25px'}
+              w={'25px'}
               position={'absolute'}
               right={['12px', '20px']}
               bottom={'15px'}
-              onClick={sendPrompt}
             >
               {isChatting ? (
                 <Icon
-                  style={{ transform: 'translateY(4px)' }}
-                  h={'30px'}
-                  w={'30px'}
-                  name={'chatting'}
+                  className={styles.stopIcon}
+                  width={['22px', '25px']}
+                  height={['22px', '25px']}
+                  cursor={'pointer'}
+                  name={'stop'}
+                  color={useColorModeValue('gray.500', 'white')}
+                  onClick={() => {
+                    controller.current?.abort();
+                  }}
                 />
               ) : (
                 <Icon
@@ -511,8 +602,9 @@ const Chat = ({ chatId }: { chatId: string }) => {
                   width={['18px', '20px']}
                   height={['18px', '20px']}
                   cursor={'pointer'}
-                  fill={useColorModeValue('#718096', 'white')}
-                ></Icon>
+                  color={useColorModeValue('gray.500', 'white')}
+                  onClick={sendPrompt}
+                />
               )}
             </Flex>
           </Box>
@@ -525,9 +617,10 @@ const Chat = ({ chatId }: { chatId: string }) => {
 export default Chat;
 
 export async function getServerSideProps(context: any) {
-  const chatId = context?.query?.chatId || 'noid';
+  const modelId = context?.query?.modelId || '';
+  const chatId = context?.query?.chatId || '';
 
   return {
-    props: { chatId }
+    props: { modelId, chatId }
   };
 }

src/pages/data/components/CreateDataModal.tsx

@@ -1,97 +0,0 @@
-import React, { useState } from 'react';
-import {
-  Modal,
-  ModalOverlay,
-  ModalContent,
-  ModalHeader,
-  ModalFooter,
-  ModalBody,
-  ModalCloseButton,
-  Button,
-  Input,
-  Select,
-  FormControl,
-  FormErrorMessage
-} from '@chakra-ui/react';
-import { postData } from '@/api/data';
-import { useMutation } from '@tanstack/react-query';
-import { useForm, SubmitHandler } from 'react-hook-form';
-import { DataType } from '@/types/data';
-import { DataTypeTextMap } from '@/constants/data';
-
-export interface CreateDataProps {
-  name: string;
-  type: DataType;
-}
-
-const CreateDataModal = ({
-  onClose,
-  onSuccess
-}: {
-  onClose: () => void;
-  onSuccess: () => void;
-}) => {
-  const [inputVal, setInputVal] = useState('');
-  const {
-    getValues,
-    register,
-    handleSubmit,
-    formState: { errors }
-  } = useForm<CreateDataProps>({
-    defaultValues: {
-      name: '',
-      type: 'abstract'
-    }
-  });
-
-  const { isLoading, mutate } = useMutation({
-    mutationFn: (e: CreateDataProps) => postData(e),
-    onSuccess() {
-      onSuccess();
-      onClose();
-    }
-  });
-
-  return (
-    <Modal isOpen={true} onClose={onClose}>
-      <ModalOverlay />
-      <ModalContent>
-        <ModalHeader>创建数据集</ModalHeader>
-        <ModalCloseButton />
-
-        <ModalBody>
-          <FormControl mb={8} isInvalid={!!errors.name}>
-            <Input
-              placeholder="数据集名称"
-              {...register('name', {
-                required: '数据集名称不能为空'
-              })}
-            />
-            <FormErrorMessage position={'absolute'} fontSize="xs">
-              {!!errors.name && errors.name.message}
-            </FormErrorMessage>
-          </FormControl>
-          <FormControl>
-            <Select placeholder="数据集类型" {...register('type', {})}>
-              {Object.entries(DataTypeTextMap).map(([key, value]) => (
-                <option key={key} value={key}>
-                  {value}
-                </option>
-              ))}
-            </Select>
-          </FormControl>
-        </ModalBody>
-        <ModalFooter>
-          <Button colorScheme={'gray'} onClick={onClose}>
-            取消
-          </Button>
-          <Button ml={3} isLoading={isLoading} onClick={handleSubmit(mutate as any)}>
-            确认
-          </Button>
-        </ModalFooter>
-      </ModalContent>
-    </Modal>
-  );
-};
-
-export default CreateDataModal;

src/pages/data/components/ImportDataModal.tsx

@@ -1,229 +0,0 @@
-import React, { useState, useCallback } from 'react';
-import {
-  Modal,
-  ModalOverlay,
-  ModalContent,
-  ModalHeader,
-  ModalFooter,
-  ModalBody,
-  ModalCloseButton,
-  Button,
-  Box,
-  Flex,
-  Textarea
-} from '@chakra-ui/react';
-import { useTabs } from '@/hooks/useTabs';
-import { useConfirm } from '@/hooks/useConfirm';
-import { useSelectFile } from '@/hooks/useSelectFile';
-import { readTxtContent, readPdfContent, readDocContent } from '@/utils/file';
-import { postSplitData } from '@/api/data';
-import { useMutation } from '@tanstack/react-query';
-import { useToast } from '@/hooks/useToast';
-import { useLoading } from '@/hooks/useLoading';
-import { formatPrice } from '@/utils/user';
-import { modelList, ChatModelNameEnum } from '@/constants/model';
-import { encode } from 'gpt-token-utils';
-
-const fileExtension = '.txt,.doc,.docx,.pdf,.md';
-
-const ImportDataModal = ({
-  dataId,
-  onClose,
-  onSuccess
-}: {
-  dataId: string;
-  onClose: () => void;
-  onSuccess: () => void;
-}) => {
-  const { openConfirm, ConfirmChild } = useConfirm({
-    content: '确认提交生成任务？该任务无法终止！'
-  });
-  const { toast } = useToast();
-  const { setIsLoading, Loading } = useLoading();
-  const { File, onOpen } = useSelectFile({ fileType: fileExtension, multiple: true });
-  const { tabs, activeTab, setActiveTab } = useTabs({
-    tabs: [
-      { id: 'text', label: '文本' },
-      { id: 'doc', label: '文件' }
-      // { id: 'url', label: '链接' }
-    ]
-  });
-
-  const [textInput, setTextInput] = useState('');
-  const [fileText, setFileText] = useState('');
-
-  const { mutate: handleClickSubmit, isLoading } = useMutation({
-    mutationFn: async () => {
-      let text = '';
-      if (activeTab === 'text') {
-        text = textInput;
-      } else if (activeTab === 'doc') {
-        text = fileText;
-      } else if (activeTab === 'url') {
-      }
-      if (!text) return;
-      return postSplitData(dataId, text);
-    },
-    onSuccess() {
-      toast({
-        title: '任务提交成功',
-        status: 'success'
-      });
-      onClose();
-      onSuccess();
-    },
-    onError(err: any) {
-      toast({
-        title: err?.message || '提交任务异常',
-        status: 'error'
-      });
-    }
-  });
-
-  const onSelectFile = useCallback(
-    async (e: File[]) => {
-      setIsLoading(true);
-      try {
-        const fileTexts = (
-          await Promise.all(
-            e.map((file) => {
-              // @ts-ignore
-              const extension = file?.name?.split('.').pop().toLowerCase();
-              switch (extension) {
-                case 'txt':
-                case 'md':
-                  return readTxtContent(file);
-                case 'pdf':
-                  return readPdfContent(file);
-                case 'doc':
-                case 'docx':
-                  return readDocContent(file);
-                default:
-                  return '';
-              }
-            })
-          )
-        )
-          .join('\n')
-          .replace(/\n+/g, '\n');
-        setFileText(fileTexts);
-        console.log(encode(fileTexts));
-      } catch (error: any) {
-        console.log(error);
-        toast({
-          title: typeof error === 'string' ? error : '解析文件失败',
-          status: 'error'
-        });
-      }
-      setIsLoading(false);
-    },
-    [setIsLoading, toast]
-  );
-
-  return (
-    <Modal isOpen={true} onClose={onClose}>
-      <ModalOverlay />
-      <ModalContent position={'relative'} maxW={['90vw', '800px']}>
-        <ModalHeader>
-          导入数据，生成QA
-          <Box ml={2} as={'span'} fontSize={'sm'} color={'blackAlpha.600'}>
-            {formatPrice(
-              modelList.find((item) => item.model === ChatModelNameEnum.GPT35)?.price || 0,
-              1000
-            )}
-            元/1K tokens
-          </Box>
-        </ModalHeader>
-        <ModalCloseButton />
-
-        <ModalBody display={'flex'}>
-          <Box>
-            {tabs.map((item) => (
-              <Button
-                key={item.id}
-                display={'block'}
-                variant={activeTab === item.id ? 'solid' : 'outline'}
-                _notLast={{
-                  mb: 3
-                }}
-                onClick={() => setActiveTab(item.id)}
-              >
-                {item.label}
-              </Button>
-            ))}
-          </Box>
-
-          <Box flex={'1 0 0'} w={0} ml={3} minH={'200px'}>
-            {activeTab === 'text' && (
-              <>
-                <Textarea
-                  h={'100%'}
-                  maxLength={-1}
-                  value={textInput}
-                  placeholder={'请粘贴或输入需要处理的文本'}
-                  onChange={(e) => setTextInput(e.target.value)}
-                />
-                <Box mt={2}>
-                  一共 {textInput.length} 个字，{encode(textInput).length} 个tokens
-                </Box>
-              </>
-            )}
-            {activeTab === 'doc' && (
-              <Flex
-                flexDirection={'column'}
-                p={2}
-                h={'100%'}
-                alignItems={'center'}
-                justifyContent={'center'}
-                border={'1px solid '}
-                borderColor={'blackAlpha.200'}
-                borderRadius={'md'}
-                fontSize={'sm'}
-              >
-                <Button onClick={onOpen}>选择文件</Button>
-                <Box mt={2}>支持 {fileExtension} 文件</Box>
-                {fileText && (
-                  <>
-                    <Box mt={2}>
-                      一共 {fileText.length} 个字，{encode(fileText).length} 个tokens
-                    </Box>
-                    <Box
-                      maxH={'300px'}
-                      w={'100%'}
-                      overflow={'auto'}
-                      p={2}
-                      backgroundColor={'blackAlpha.50'}
-                      whiteSpace={'pre'}
-                      fontSize={'xs'}
-                    >
-                      {fileText}
-                    </Box>
-                  </>
-                )}
-              </Flex>
-            )}
-          </Box>
-        </ModalBody>
-        <ModalFooter>
-          <Button colorScheme={'gray'} onClick={onClose}>
-            取消
-          </Button>
-          <Button
-            ml={3}
-            isLoading={isLoading}
-            isDisabled={!textInput && !fileText}
-            onClick={openConfirm(handleClickSubmit)}
-          >
-            确认
-          </Button>
-        </ModalFooter>
-        <Loading />
-      </ModalContent>
-
-      <ConfirmChild />
-      <File onSelect={onSelectFile} />
-    </Modal>
-  );
-};
-
-export default ImportDataModal;

src/pages/data/detail.tsx

@@ -1,67 +0,0 @@
-import React from 'react';
-import { Box, Card } from '@chakra-ui/react';
-import ScrollData from '@/components/ScrollData';
-import { getDataItems } from '@/api/data';
-import { usePaging } from '@/hooks/usePaging';
-import type { DataItemSchema } from '@/types/mongoSchema';
-
-const DataDetail = ({ dataName, dataId }: { dataName: string; dataId: string }) => {
-  const {
-    nextPage,
-    isLoadAll,
-    requesting,
-    data: dataItems
-  } = usePaging<DataItemSchema>({
-    api: getDataItems,
-    pageSize: 10,
-    params: {
-      dataId
-    }
-  });
-
-  return (
-    <Card py={4} h={'100%'} display={'flex'} flexDirection={'column'}>
-      <Box px={6} fontSize={'xl'} fontWeight={'bold'}>
-        {dataName} 结果
-      </Box>
-      <ScrollData
-        flex={'1 0 0'}
-        h={0}
-        px={6}
-        mt={3}
-        isLoadAll={isLoadAll}
-        requesting={requesting}
-        nextPage={nextPage}
-        fontSize={'xs'}
-        whiteSpace={'pre-wrap'}
-      >
-        {dataItems.map((item) => (
-          <Box key={item._id}>
-            {item.result.map((result, i) => (
-              <Box key={i} mb={3}>
-                {item.type === 'QA' && (
-                  <>
-                    <Box fontWeight={'bold'}>Q: {result.q}</Box>
-                    <Box>A: {result.a}</Box>
-                  </>
-                )}
-                {item.type === 'abstract' && <Box fontSize={'sm'}>{result.abstract}</Box>}
-              </Box>
-            ))}
-          </Box>
-        ))}
-      </ScrollData>
-    </Card>
-  );
-};
-
-export default DataDetail;
-
-export async function getServerSideProps(context: any) {
-  return {
-    props: {
-      dataName: context.query?.dataName || '',
-      dataId: context.query?.dataId || ''
-    }
-  };
-}

src/pages/data/list.tsx

@@ -1,235 +0,0 @@
-import React, { useState, useCallback } from 'react';
-import {
-  Card,
-  Box,
-  Flex,
-  Button,
-  Table,
-  Thead,
-  Tbody,
-  Tr,
-  Th,
-  Td,
-  TableContainer,
-  useDisclosure,
-  Input,
-  Menu,
-  MenuButton,
-  MenuList,
-  MenuItem
-} from '@chakra-ui/react';
-import { getDataList, updateDataName, delData, getDataItems } from '@/api/data';
-import type { DataListItem } from '@/types/data';
-import dayjs from 'dayjs';
-import dynamic from 'next/dynamic';
-import { useRouter } from 'next/router';
-import { useConfirm } from '@/hooks/useConfirm';
-import { useRequest } from '@/hooks/useRequest';
-import { DataItemSchema } from '@/types/mongoSchema';
-import { DataTypeTextMap } from '@/constants/data';
-import { customAlphabet } from 'nanoid';
-import { useQuery } from '@tanstack/react-query';
-const nanoid = customAlphabet('.,', 1);
-
-const CreateDataModal = dynamic(() => import('./components/CreateDataModal'));
-const ImportDataModal = dynamic(() => import('./components/ImportDataModal'));
-
-export type ExportDataType = 'jsonl' | 'txt';
-
-const DataList = () => {
-  const router = useRouter();
-  const [ImportDataId, setImportDataId] = useState<string>();
-  const { openConfirm, ConfirmChild } = useConfirm({
-    content: '删除数据集，将删除里面的所有内容，请确认！'
-  });
-
-  const {
-    isOpen: isOpenCreateDataModal,
-    onOpen: onOpenCreateDataModal,
-    onClose: onCloseCreateDataModal
-  } = useDisclosure();
-
-  const { data: dataList = [], refetch } = useQuery(['getDataList'], getDataList, {
-    refetchInterval: 10000
-  });
-
-  const { mutate: handleDelData, isLoading: isDeleting } = useRequest({
-    mutationFn: (dataId: string) => delData(dataId),
-    successToast: '删除数据集成功',
-    errorToast: '删除数据集异常',
-    onSuccess() {
-      refetch();
-    }
-  });
-
-  const { mutate: handleExportData, isLoading: isExporting } = useRequest({
-    mutationFn: async ({ data, type }: { data: DataListItem; type: ExportDataType }) => ({
-      type,
-      data: await getDataItems({ dataId: data._id, pageNum: 1, pageSize: data.totalData }).then(
-        (res) => res.data
-      )
-    }),
-    successToast: '导出数据集成功',
-    errorToast: '导出数据集异常',
-    onSuccess(res: { type: ExportDataType; data: DataItemSchema[] }) {
-      // 合并数据
-      const data = res.data.map((item) => item.result).flat();
-      let text = '';
-      // 生成 jsonl
-      data.forEach((item) => {
-        if (res.type === 'jsonl' && item.q && item.a) {
-          const result = JSON.stringify({
-            prompt: `${item.q.toLocaleLowerCase()}${nanoid()}</s>`,
-            completion: ` ${item.a}###`
-          });
-          text += `${result}\n`;
-        } else if (res.type === 'txt' && item.abstract) {
-          text += `${item.abstract}\n`;
-        }
-      });
-      // 去掉最后一个 \n
-      text = text.substring(0, text.length - 1);
-
-      // 导出为文件
-      const blob = new Blob([text], { type: 'application/json;charset=utf-8' });
-
-      // 创建下载链接
-      const downloadLink = document.createElement('a');
-      downloadLink.href = window.URL.createObjectURL(blob);
-      downloadLink.download = `data.${res.type}`;
-
-      // 添加链接到页面并触发下载
-      document.body.appendChild(downloadLink);
-      downloadLink.click();
-      document.body.removeChild(downloadLink);
-    }
-  });
-
-  return (
-    <Box display={['block', 'flex']} flexDirection={'column'} h={'100%'}>
-      <Card px={6} py={4}>
-        <Flex>
-          <Box flex={1} mr={1}>
-            <Box fontSize={'xl'} fontWeight={'bold'}>
-              训练数据管理
-            </Box>
-            <Box fontSize={'xs'} color={'blackAlpha.600'}>
-              允许你将任意文本数据拆分成 QA 形式，或者进行文本摘要总结。
-            </Box>
-          </Box>
-          <Button variant={'outline'} onClick={onOpenCreateDataModal}>
-            创建数据集
-          </Button>
-        </Flex>
-      </Card>
-      {/* 数据表 */}
-      <TableContainer
-        mt={3}
-        flex={'1 0 0'}
-        h={['auto', '0']}
-        overflowY={'auto'}
-        px={6}
-        py={4}
-        backgroundColor={'white'}
-        borderRadius={'md'}
-        boxShadow={'base'}
-      >
-        <Table>
-          <Thead>
-            <Tr>
-              <Th>集合名</Th>
-              <Th>类型</Th>
-              <Th>创建时间</Th>
-              <Th>训练中 / 总数据</Th>
-              <Th></Th>
-            </Tr>
-          </Thead>
-          <Tbody>
-            {dataList.map((item, i) => (
-              <Tr key={item._id}>
-                <Td>
-                  <Input
-                    minW={'150px'}
-                    placeholder="请输入数据集名称"
-                    defaultValue={item.name}
-                    size={'sm'}
-                    onBlur={(e) => {
-                      if (!e.target.value || e.target.value === item.name) return;
-                      updateDataName(item._id, e.target.value);
-                    }}
-                  />
-                </Td>
-                <Td>{DataTypeTextMap[item.type || 'QA']}</Td>
-                <Td>{dayjs(item.createTime).format('YYYY/MM/DD HH:mm')}</Td>
-                <Td>
-                  {item.trainingData} / {item.totalData}
-                </Td>
-                <Td>
-                  <Button
-                    size={'sm'}
-                    variant={'outline'}
-                    colorScheme={'gray'}
-                    mr={2}
-                    onClick={() =>
-                      router.push(`/data/detail?dataId=${item._id}&dataName=${item.name}`)
-                    }
-                  >
-                    详细
-                  </Button>
-                  <Button
-                    size={'sm'}
-                    variant={'outline'}
-                    mr={2}
-                    onClick={() => setImportDataId(item._id)}
-                  >
-                    导入
-                  </Button>
-                  {/* <Menu>
-                    <MenuButton as={Button} mr={2} size={'sm'} isLoading={isExporting}>
-                      导出
-                    </MenuButton>
-                    <MenuList>
-                      {item.type === 'QA' && (
-                        <MenuItem onClick={() => handleExportData({ data: item, type: 'jsonl' })}>
-                          jsonl
-                        </MenuItem>
-                      )}
-                      {item.type === 'abstract' && (
-                        <MenuItem onClick={() => handleExportData({ data: item, type: 'txt' })}>
-                          txt
-                        </MenuItem>
-                      )}
-                    </MenuList>
-                  </Menu> */}
-
-                  <Button
-                    size={'sm'}
-                    colorScheme={'red'}
-                    isLoading={isDeleting}
-                    onClick={openConfirm(() => handleDelData(item._id))}
-                  >
-                    删除
-                  </Button>
-                </Td>
-              </Tr>
-            ))}
-          </Tbody>
-        </Table>
-      </TableContainer>
-
-      {ImportDataId && (
-        <ImportDataModal
-          dataId={ImportDataId}
-          onClose={() => setImportDataId(undefined)}
-          onSuccess={refetch}
-        />
-      )}
-      {isOpenCreateDataModal && (
-        <CreateDataModal onClose={onCloseCreateDataModal} onSuccess={refetch} />
-      )}
-      <ConfirmChild />
-    </Box>
-  );
-};
-
-export default DataList;

src/pages/index.tsx

@@ -1,15 +1,34 @@
-import React from 'react';
-import { Card } from '@chakra-ui/react';
+import React, { useEffect } from 'react';
+import { Card, Box, Link } from '@chakra-ui/react';
 import Markdown from '@/components/Markdown';
 import { useMarkdown } from '@/hooks/useMarkdown';
+import { useRouter } from 'next/router';
 
 const Home = () => {
+  const { inviterId } = useRouter().query as { inviterId: string };
   const { data } = useMarkdown({ url: '/intro.md' });
 
+  useEffect(() => {
+    if (inviterId) {
+      localStorage.setItem('inviterId', inviterId);
+    }
+  }, [inviterId]);
+
   return (
-    <Card p={5} lineHeight={2}>
-      <Markdown source={data} isChatting={false} />
-    </Card>
+    <>
+      <Card p={5} lineHeight={2}>
+        <Markdown source={data} isChatting={false} />
+      </Card>
+
+      <Card p={5} mt={4} textAlign={'center'}>
+        <Box>
+          {/* <Link href="https://beian.miit.gov.cn/" target="_blank">
+            浙B2-20080101
+          </Link> */}
+        </Box>
+        <Box>Made by FastGpt Team.</Box>
+      </Card>
+    </>
   );
 };
 

src/pages/login/components/RegisterForm.tsx

@@ -57,7 +57,7 @@ const RegisterForm = ({ setPageType, loginSuccess }: Props) => {
             username,
             code,
             password,
-            inviterId
+            inviterId: inviterId || localStorage.getItem('inviterId') || ''
           })
         );
         toast({

src/pages/login/index.tsx

@@ -13,6 +13,7 @@ const ForgetPasswordForm = dynamic(() => import('./components/ForgetPasswordForm
 
 const Login = () => {
   const router = useRouter();
+  const { lastRoute = '' } = router.query as { lastRoute: string };
   const { isPc } = useScreen();
   const [pageType, setPageType] = useState<`${PageTypeEnum}`>(PageTypeEnum.login);
   const { setUserInfo } = useUserStore();
@@ -20,9 +21,11 @@ const Login = () => {
   const loginSuccess = useCallback(
     (res: ResLogin) => {
       setUserInfo(res.user, res.token);
-      router.push('/model/list');
+      setTimeout(() => {
+        router.push(lastRoute ? decodeURIComponent(lastRoute) : '/model/list');
+      }, 100);
     },
-    [router, setUserInfo]
+    [lastRoute, router, setUserInfo]
   );
 
   function DynamicComponent({ type }: { type: `${PageTypeEnum}` }) {