mirror of
https://github.com/labring/FastGPT.git
synced 2025-10-14 07:00:47 +00:00
399 lines
13 KiB
JavaScript
399 lines
13 KiB
JavaScript
const fs = require('fs');
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const path = require('path');
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const template = `# 数据库的默认账号和密码仅首次运行时设置有效
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# 如果修改了账号密码,记得改数据库和项目连接参数,别只改一处~
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# 该配置文件只是给快速启动,测试使用。正式使用,记得务必修改账号密码,以及调整合适的知识库参数,共享内存等。
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# 如何无法访问 dockerhub 和 git,可以用阿里云(阿里云没有arm包)
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version: '3.3'
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services:
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# Vector DB
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{{Vector_DB_Service}}
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# DB
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mongo:
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image: mongo:5.0.18 # dockerhub
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# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/mongo:5.0.18 # 阿里云
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# image: mongo:4.4.29 # cpu不支持AVX时候使用
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container_name: mongo
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restart: always
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networks:
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- fastgpt
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command: mongod --keyFile /data/mongodb.key --replSet rs0
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environment:
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- MONGO_INITDB_ROOT_USERNAME=myusername
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- MONGO_INITDB_ROOT_PASSWORD=mypassword
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volumes:
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- ./mongo/data:/data/db
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entrypoint:
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- bash
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- -c
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- |
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openssl rand -base64 128 > /data/mongodb.key
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chmod 400 /data/mongodb.key
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chown 999:999 /data/mongodb.key
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echo 'const isInited = rs.status().ok === 1
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if(!isInited){
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rs.initiate({
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_id: "rs0",
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members: [
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{ _id: 0, host: "mongo:27017" }
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]
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})
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}' > /data/initReplicaSet.js
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# 启动MongoDB服务
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exec docker-entrypoint.sh "$$@" &
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# 等待MongoDB服务启动
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until mongo -u myusername -p mypassword --authenticationDatabase admin --eval "print('waited for connection')"; do
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echo "Waiting for MongoDB to start..."
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sleep 2
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done
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# 执行初始化副本集的脚本
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mongo -u myusername -p mypassword --authenticationDatabase admin /data/initReplicaSet.js
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# 等待docker-entrypoint.sh脚本执行的MongoDB服务进程
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wait $$!
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redis:
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image: redis:7.2-alpine
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container_name: redis
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networks:
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- fastgpt
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restart: always
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command: |
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redis-server --requirepass mypassword --loglevel warning --maxclients 10000 --appendonly yes --save 60 10 --maxmemory 4gb --maxmemory-policy noeviction
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healthcheck:
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test: ['CMD', 'redis-cli', '-a', 'mypassword', 'ping']
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interval: 10s
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timeout: 3s
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retries: 3
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start_period: 30s
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volumes:
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- ./redis/data:/data
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fastgpt-minio:
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image: minio/minio:latest
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container_name: fastgpt-minio
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restart: always
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networks:
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- fastgpt
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ports: # comment out if you do not need to expose the port (in production environment, you should not expose the port)
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- '9000:9000'
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- '9001:9001'
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environment:
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- MINIO_ROOT_USER=minioadmin
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- MINIO_ROOT_PASSWORD=minioadmin
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volumes:
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- ./fastgpt-minio:/data
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command: server /data --console-address ":9001"
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healthcheck:
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test: ['CMD', 'curl', '-f', 'http://localhost:9000/minio/health/live']
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interval: 30s
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timeout: 20s
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retries: 3
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fastgpt:
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container_name: fastgpt
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image: ghcr.io/labring/fastgpt:v4.12.0 # git
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# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.12.0 # 阿里云
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ports:
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- 3000:3000
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networks:
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- fastgpt
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depends_on:
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- mongo
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- sandbox
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{{Vector_DB_Depends}}
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restart: always
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environment:
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# 前端外部可访问的地址,用于自动补全文件资源路径。例如 https:fastgpt.cn,不能填 localhost。这个值可以不填,不填则发给模型的图片会是一个相对路径,而不是全路径,模型可能伪造Host。
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- FE_DOMAIN=
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# root 密码,用户名为: root。如果需要修改 root 密码,直接修改这个环境变量,并重启即可。
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- DEFAULT_ROOT_PSW=1234
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# 登录凭证密钥
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- TOKEN_KEY=any
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# root的密钥,常用于升级时候的初始化请求
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- ROOT_KEY=root_key
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# 文件阅读加密
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- FILE_TOKEN_KEY=filetoken
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# 密钥加密key
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- AES256_SECRET_KEY=fastgptkey
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# plugin 地址
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- PLUGIN_BASE_URL=http://fastgpt-plugin:3000
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- PLUGIN_TOKEN=xxxxxx
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# sandbox 地址
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- SANDBOX_URL=http://sandbox:3000
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# AI Proxy 的地址,如果配了该地址,优先使用
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- AIPROXY_API_ENDPOINT=http://aiproxy:3000
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# AI Proxy 的 Admin Token,与 AI Proxy 中的环境变量 ADMIN_KEY
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- AIPROXY_API_TOKEN=aiproxy
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# 数据库最大连接数
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- DB_MAX_LINK=30
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# MongoDB 连接参数. 用户名myusername,密码mypassword。
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- MONGODB_URI=mongodb://myusername:mypassword@mongo:27017/fastgpt?authSource=admin
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# Redis 连接参数
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- REDIS_URL=redis://default:mypassword@redis:6379
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# 向量库 连接参数
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{{Vector_DB_ENV}}
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# 日志等级: debug, info, warn, error
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- LOG_LEVEL=info
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- STORE_LOG_LEVEL=warn
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# 工作流最大运行次数
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- WORKFLOW_MAX_RUN_TIMES=1000
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# 批量执行节点,最大输入长度
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- WORKFLOW_MAX_LOOP_TIMES=100
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# 对话文件过期天数
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- CHAT_FILE_EXPIRE_TIME=7
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volumes:
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- ./config.json:/app/data/config.json
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sandbox:
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container_name: sandbox
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image: ghcr.io/labring/fastgpt-sandbox:v4.12.0 # git
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# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.12.0 # 阿里云
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networks:
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- fastgpt
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restart: always
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fastgpt-mcp-server:
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container_name: fastgpt-mcp-server
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image: ghcr.io/labring/fastgpt-mcp_server:v4.12.0 # git
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# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-mcp_server:v4.12.0 # 阿里云
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ports:
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- 3005:3000
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networks:
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- fastgpt
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restart: always
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environment:
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- FASTGPT_ENDPOINT=http://fastgpt:3000
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fastgpt-plugin:
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image: ghcr.io/labring/fastgpt-plugin:v0.1.9 # git
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# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-plugin:v0.1.9 # 阿里云
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container_name: fastgpt-plugin
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restart: always
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networks:
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- fastgpt
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environment:
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- AUTH_TOKEN=xxxxxx # 如果不需要鉴权可以直接去掉这个环境变量
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# 改成 minio 可访问地址,例如 http://192.168.2.2:9000/fastgpt-plugins
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# 必须指向 Minio 的桶的地址
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# 如果 Minio 可以直接通过外网访问,可以不设置这个环境变量
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# - MINIO_CUSTOM_ENDPOINT=http://192.168.2.2:9000
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- MINIO_ENDPOINT=fastgpt-minio
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- MINIO_PORT=9000
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- MINIO_USE_SSL=false
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- MINIO_ACCESS_KEY=minioadmin
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- MINIO_SECRET_KEY=minioadmin
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- MINIO_BUCKET=fastgpt-plugins
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depends_on:
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fastgpt-minio:
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condition: service_healthy
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# AI Proxy
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aiproxy:
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image: ghcr.io/labring/aiproxy:v0.2.2
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# image: registry.cn-hangzhou.aliyuncs.com/labring/aiproxy:v0.2.2 # 阿里云
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container_name: aiproxy
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restart: unless-stopped
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depends_on:
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aiproxy_pg:
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condition: service_healthy
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networks:
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- fastgpt
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environment:
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# 对应 fastgpt 里的AIPROXY_API_TOKEN
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- ADMIN_KEY=aiproxy
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# 错误日志详情保存时间(小时)
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- LOG_DETAIL_STORAGE_HOURS=1
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# 数据库连接地址
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- SQL_DSN=postgres://postgres:aiproxy@aiproxy_pg:5432/aiproxy
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# 最大重试次数
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- RETRY_TIMES=3
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# 不需要计费
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- BILLING_ENABLED=false
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# 不需要严格检测模型
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- DISABLE_MODEL_CONFIG=true
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healthcheck:
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test: ['CMD', 'curl', '-f', 'http://localhost:3000/api/status']
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interval: 5s
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timeout: 5s
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retries: 10
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aiproxy_pg:
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image: pgvector/pgvector:0.8.0-pg15 # docker hub
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# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/pgvector:v0.8.0-pg15 # 阿里云
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restart: unless-stopped
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container_name: aiproxy_pg
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volumes:
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- ./aiproxy_pg:/var/lib/postgresql/data
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networks:
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- fastgpt
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environment:
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TZ: Asia/Shanghai
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POSTGRES_USER: postgres
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POSTGRES_DB: aiproxy
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POSTGRES_PASSWORD: aiproxy
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healthcheck:
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test: ['CMD', 'pg_isready', '-U', 'postgres', '-d', 'aiproxy']
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interval: 5s
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timeout: 5s
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retries: 10
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networks:
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fastgpt:
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`;
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const list = [
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{
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filename: './docker-compose-pgvector.yml',
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depends: `- pg`,
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service: `pg:
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image: pgvector/pgvector:0.8.0-pg15 # docker hub
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# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/pgvector:v0.8.0-pg15 # 阿里云
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container_name: pg
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restart: always
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# ports: # 生产环境建议不要暴露
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# - 5432:5432
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networks:
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- fastgpt
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environment:
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# 这里的配置只有首次运行生效。修改后,重启镜像是不会生效的。需要把持久化数据删除再重启,才有效果
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- POSTGRES_USER=username
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- POSTGRES_PASSWORD=password
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- POSTGRES_DB=postgres
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volumes:
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- ./pg/data:/var/lib/postgresql/data
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healthcheck:
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test: ['CMD', 'pg_isready', '-U', 'username', '-d', 'postgres']
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interval: 5s
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timeout: 5s
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retries: 10`,
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env: `- PG_URL=postgresql://username:password@pg:5432/postgres`
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},
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{
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filename: './docker-compose-zilliz.yml',
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depends: ``,
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service: ``,
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env: `# zilliz 连接参数
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- MILVUS_ADDRESS=zilliz_cloud_address
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- MILVUS_TOKEN=zilliz_cloud_token`
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},
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{
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filename: './docker-compose-milvus.yml',
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depends: `- milvusStandalone`,
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service: `milvus-minio:
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container_name: milvus-minio
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image: minio/minio:RELEASE.2023-03-20T20-16-18Z
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environment:
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MINIO_ACCESS_KEY: minioadmin
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MINIO_SECRET_KEY: minioadmin
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# ports:
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# - '9001:9001'
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# - '9000:9000'
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networks:
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- fastgpt
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volumes:
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- ./milvus-minio:/minio_data
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command: minio server /minio_data --console-address ":9001"
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healthcheck:
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test: ['CMD', 'curl', '-f', 'http://localhost:9000/minio/health/live']
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interval: 30s
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timeout: 20s
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retries: 3
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# milvus
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milvusEtcd:
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container_name: milvusEtcd
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image: quay.io/coreos/etcd:v3.5.5
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environment:
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- ETCD_AUTO_COMPACTION_MODE=revision
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- ETCD_AUTO_COMPACTION_RETENTION=1000
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- ETCD_QUOTA_BACKEND_BYTES=4294967296
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- ETCD_SNAPSHOT_COUNT=50000
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networks:
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- fastgpt
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volumes:
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- ./milvus/etcd:/etcd
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command: etcd -advertise-client-urls=http://127.0.0.1:2379 -listen-client-urls http://0.0.0.0:2379 --data-dir /etcd
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healthcheck:
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test: ['CMD', 'etcdctl', 'endpoint', 'health']
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interval: 30s
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timeout: 20s
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retries: 3
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milvusStandalone:
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container_name: milvusStandalone
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image: milvusdb/milvus:v2.4.3
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command: ['milvus', 'run', 'standalone']
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security_opt:
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- seccomp:unconfined
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environment:
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ETCD_ENDPOINTS: milvusEtcd:2379
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MINIO_ADDRESS: milvus-minio:9000
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networks:
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- fastgpt
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volumes:
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- ./milvus/data:/var/lib/milvus
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healthcheck:
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test: ['CMD', 'curl', '-f', 'http://localhost:9091/healthz']
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interval: 30s
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start_period: 90s
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timeout: 20s
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retries: 3
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depends_on:
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- 'milvusEtcd'
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- 'milvus-minio'`,
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env: `- MILVUS_ADDRESS=http://milvusStandalone:19530
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- MILVUS_TOKEN=none`
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},
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{
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filename: './docker-compose-oceanbase/docker-compose.yml',
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depends: `- ob`,
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service: `ob:
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image: oceanbase/oceanbase-ce:4.3.5-lts # docker hub
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# image: quay.io/oceanbase/oceanbase-ce:4.3.5-lts # 镜像
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container_name: ob
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restart: always
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# ports: # 生产环境建议不要暴露
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# - 2881:2881
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networks:
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- fastgpt
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environment:
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# 这里的配置只有首次运行生效。修改后,重启镜像是不会生效的。需要把持久化数据删除再重启,才有效果
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- OB_SYS_PASSWORD=obsyspassword
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# 不同于传统数据库,OceanBase 数据库的账号包含更多字段,包括用户名、租户名和集群名。经典格式为"用户名@租户名#集群名"
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# 比如用mysql客户端连接时,根据本文件的默认配置,应该指定 "-uroot@tenantname"
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- OB_TENANT_NAME=tenantname
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- OB_TENANT_PASSWORD=tenantpassword
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# MODE分为MINI和NORMAL, 后者会最大程度使用主机资源
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- MODE=MINI
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- OB_SERVER_IP=127.0.0.1
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# 更多环境变量配置见oceanbase官方文档: https://www.oceanbase.com/docs/common-oceanbase-database-cn-1000000002013494
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volumes:
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- ./ob/data:/root/ob
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- ./ob/config:/root/.obd/cluster
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- ./init.sql:/root/boot/init.d/init.sql
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healthcheck:
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# obclient -h127.0.0.1 -P2881 -uroot@tenantname -ptenantpassword -e "SELECT 1;"
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test:
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[
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'CMD-SHELL',
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'obclient -h\$\$\$\${OB_SERVER_IP} -P2881 -uroot@\$\$\$\${OB_TENANT_NAME} -p\$\$\$\${OB_TENANT_PASSWORD} -e "SELECT 1;"'
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]
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interval: 30s
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timeout: 10s
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retries: 1000
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start_period: 10s`,
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env: `- OCEANBASE_URL=mysql://root%40tenantname:tenantpassword@ob:2881/test`
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}
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];
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list.forEach((item) => {
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const { filename, service, env, depends } = item;
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const content = template
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.replace('{{Vector_DB_Service}}', service)
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.replace('{{Vector_DB_ENV}}', env)
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.replace('{{Vector_DB_Depends}}', depends);
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fs.writeFileSync(path.join(__dirname, filename), content, 'utf-8');
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});
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