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README
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@@ -5,5 +5,4 @@ MY_MAIL=
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MAILE_CODE=
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MAILE_CODE=
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TOKEN_KEY=
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TOKEN_KEY=
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OPENAIKEY=
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OPENAIKEY=
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REDIS_URL=
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REDIS_URL=
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OPENAPI_KEY=
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89
README.md
89
README.md
@@ -8,42 +8,71 @@ Fast GPT 允许你使用自己的 openai API KEY 来快速的调用 openai 接
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```
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```
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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
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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
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AXIOS_PROXY_PORT=代理端口
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AXIOS_PROXY_PORT=代理端口
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MONGODB_URI=mongo数据库地址(例如:mongodb://username:password@ip:27017/?authSource=admin&readPreference=primary&appname=MongoDB%20Compass&directConnection=true&ssl=false)
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MONGODB_URI=mongo数据库地址
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MY_MAIL=发送验证码邮箱
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MY_MAIL=发送验证码邮箱
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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")
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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")
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TOKEN_KEY=随便填一个,用于生成和校验 token
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TOKEN_KEY=随便填一个,用于生成和校验 token
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OPENAIKEY=openai的key
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REDIS_URL=redis的地址
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```
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```
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```bash
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```bash
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pnpm dev
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pnpm dev
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```
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```
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Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
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## 部署
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## 部署
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### docker 模式
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### docker 模式
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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。
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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。
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#### docker 打包
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#### docker 打包
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```bash
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```bash
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docker build -t imageName:tag .
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docker build -t imageName:tag .
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docker push imageName:tag
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docker push imageName:tag
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# 或者直接拉镜像,见下方
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```
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```
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#### 服务器拉取镜像和运行
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#### 服务器拉取镜像和运行
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```yml
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# docker-compose
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version: "3.3"
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services:
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fast-gpt:
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image: c121914yu/fast-gpt:latest
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environment:
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AXIOS_PROXY_HOST: 127.0.0.1
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AXIOS_PROXY_PORT: 7890
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MY_MAIL:
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MAILE_CODE:
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TOKEN_KEY:
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MONGODB_URI:
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OPENAIKEY:
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REDIS_URL:
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network_mode: host
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restart: always
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container_name: fast-gpt
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```
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```bash
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```bash
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# 服务器拉取部署, imageName 替换成镜像名
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#!/bin/bash
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docker pull imageName:tag
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# 拉取最新镜像
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docker stop fast-gpt || true
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docker-compose pull
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docker rm fast-gpt || true
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docker-compose up -d
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docker run -d --network=host --name fast-gpt \
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-e AXIOS_PROXY_HOST=127.0.0.1 \
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echo "Docker Compose 重新拉取镜像完成!"
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-e AXIOS_PROXY_PORT=7890 \
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-e MY_MAIL=your email\
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# 删除本地旧镜像
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-e MAILE_CODE=your email code \
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images=$(docker images --format "{{.ID}} {{.Repository}}" | grep fast-gpt)
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-e TOKEN_KEY=任意一个内容 \
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-e MONGODB_URI="mongodb://user:password@127.0.0.0:27017/?authSource=admin&readPreference=primary&appname=MongoDB%20Compass&ssl=false" \
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# 将镜像 ID 和名称放入数组中
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imageName:tag
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IFS=$'\n' read -rd '' -a image_array <<<"$images"
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# 遍历数组并删除所有旧的镜像
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for ((i=1; i<${#image_array[@]}; i++))
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do
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image=${image_array[$i]}
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image_id=${image%% *}
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docker rmi $image_id
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done
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```
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```
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#### 软件教程:docker 安装
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#### 软件教程:docker 安装
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@@ -104,9 +133,33 @@ echo "Restart clash"
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#### redis
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#### redis
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安装
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```bash
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```bash
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# 索引
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#!/bin/bash
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# FT.CREATE idx:model:data ON JSON PREFIX 1 model:data: SCHEMA $.modelId AS modelId TAG $.dataId AS dataId TAG $.vector AS vector VECTOR FLAT 6 DIM 1536 DISTANCE_METRIC COSINE TYPE FLOAT32
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docker pull redis/redis-stack:6.2.6-v6
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# FT.CREATE idx:model:data:hash ON HASH PREFIX 1 model:data: SCHEMA modelId TAG dataId TAG vector VECTOR FLAT 6 DIM 1536 DISTANCE_METRIC COSINE TYPE FLOAT32
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docker stop fast-gpt-redis-stack
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docker rm fast-gpt-redis-stack
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docker run -d --name fast-gpt-redis-stack \
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-v /redis/data:/data \
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-v /etc/localtime:/etc/localtime:ro \
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-v /redis.conf:/redis-stack.conf \
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-e REDIS_ARGS="--requirepass 1111111"\
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-p 8102:6379 \
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-p 8103:8001 \
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--restart unless-stopped \
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redis/redis-stack:6.2.6-v6
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```
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```bash
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# /redis.conf
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# 开启aop持久化
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appendonly yes
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#default: 持久化文件
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appendfilename "appendonly.aof"
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#default: 每秒同步一次
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appendfsync everysec
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```
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```bash
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# 添加索引
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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
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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
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```
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```
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