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perf: md引入;docker-compose;
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archer
161
README.md
161
README.md
@@ -31,7 +31,6 @@ 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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#### 软件教程：docker 安装
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```bash
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# 安装docker
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@@ -39,20 +38,6 @@ curl -sSL https://get.daocloud.io/docker | sh
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sudo systemctl start docker
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```
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#### 软件教程：mongo 安装
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```bash
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docker pull mongo:6.0.4
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docker stop mongo
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docker rm mongo
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docker run -d --name mongo \
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-e MONGO_INITDB_ROOT_USERNAME= \
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-e MONGO_INITDB_ROOT_PASSWORD= \
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-v /root/service/mongo:/data/db \
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mongo:6.0.4
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# 检查 mongo 运行情况, 有成功的 logs 代表访问成功
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docker logs mongo
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```
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#### 软件教程: clash 代理
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```bash
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# 下载包
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@@ -70,8 +55,7 @@ export https_proxy=http://127.0.0.1:7890
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export HTTP_PROXY=http://127.0.0.1:7890
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export HTTPS_PROXY=http://127.0.0.1:7890
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# 运行脚本: 删除clash - 到 clash 目录 - 删除缓存 - 执行运行
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# 会生成一个 nohup.out 文件，可以看到 clash 的 logs
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# 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
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OLD_PROCESS=$(pgrep clash)
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if [ ! -z "$OLD_PROCESS" ]; then
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echo "Killing old process: $OLD_PROCESS"
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@@ -85,44 +69,9 @@ nohup ./clash-linux-amd64-v1.10.0 -d ./ &
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echo "Restart clash"
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```
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#### 软件教程：Nginx
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...没写，这个百度吧。
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#### redis-stack
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安装
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```bash
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#!/bin/bash
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docker pull redis/redis-stack:6.2.6-v6
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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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```
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#### 服务器拉取镜像和运行
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#### 文件创建
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**yml文件**
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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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@@ -130,20 +79,108 @@ services:
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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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MY_MAIL: 11111111@qq.com
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MAILE_CODE: sdasadasfasfad
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TOKEN_KEY: sssssssss
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MONGODB_URI: mongodb://username:password@0.0.0.0:27017/?authSource=admin&readPreference=primary&appname=MongoDB%20Compass&ssl=false
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OPENAIKEY: sk-afadfadfadfsd
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REDIS_URL: redis://default:password@0.0.0.0:8100
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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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mongodb:
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image: mongo:6.0.4
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container_name: mongo
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restart: always
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environment:
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- MONGO_INITDB_ROOT_USERNAME=root
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- MONGO_INITDB_ROOT_PASSWORD=ROOT_1234
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- MONGO_DATA_DIR=/data/db
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- MONGO_LOG_DIR=/data/logs
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volumes:
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- /root/fastgpt/mongo/data:/data/db
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- /root/fastgpt/mongo/logs:/data/logs
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ports:
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- 27017:27017
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nginx:
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image: nginx:alpine3.17
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container_name: nginx
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restart: always
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network_mode: host
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ports:
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- "80:80"
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volumes:
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- /root/fastgpt/nginx/nginx.conf:/etc/nginx/nginx.conf:ro
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redis-stack:
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image: redis/redis-stack:6.2.6-v6
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container_name: redis-stack
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restart: unless-stopped
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ports:
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- "8100:6379"
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- "8101:8001"
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environment:
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- REDIS_ARGS=--requirepass psw1234
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volumes:
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- /etc/localtime:/etc/localtime:ro
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- /root/fastgpt/redis/redis.conf:/redis.conf
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- /root/fastgpt/redis/data:/data
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```
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**redis.conf**
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```
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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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**nginx.conf**
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```
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user nginx;
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worker_processes auto;
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error_log /var/log/nginx/error.log;
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pid /run/nginx.pid;
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events {
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worker_connections 1024;
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}
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http {
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include /etc/nginx/mime.types;
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default_type application/octet-stream;
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include /etc/nginx/conf.d/*.conf;
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server {
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listen 80;
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server_name test.com;
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gzip on;
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gzip_min_length 1k;
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gzip_buffers 4 8k;
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gzip_http_version 1.1;
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gzip_comp_level 6;
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gzip_vary on;
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gzip_types text/plain application/x-javascript text/css application/javascript application/json application/xml;
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gzip_disable "MSIE [1-6]\.";
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location / {
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proxy_pass http://localhost:3000;
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proxy_set_header Host $host;
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proxy_set_header X-Real-IP $remote_addr;
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proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
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}
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}
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}
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```
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#### 运行脚本
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**redis创建索引**
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```bash
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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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**run.sh 运行文件**
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```bash
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#!/bin/bash
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# 拉取最新镜像
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docker-compose pull
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docker-compose up -d
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echo "Docker Compose 重新拉取镜像完成！"
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