mirror of
https://github.com/labring/FastGPT.git
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feat: add openGauss DataVec as vector database backend (#6666)
* feat: add openGauss DataVec as vector database backend Add openGauss with DataVec extension as a new vector storage option alongside PGVector and Milvus. Includes vector DB controller, Docker Compose deployment configs (CN/Global), deploy generation scripts, and test templates. * test: add opengauss vectorDB integration entry * test: adjust vector env template for opengauss run * fix: ts --------- Co-authored-by: archer <545436317@qq.com>
This commit is contained in:
yanzhicong
@@ -0,0 +1,355 @@
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# 用于部署的 docker-compose 文件:
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# - FastGPT 端口映射为 3000:3000
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# - FastGPT-mcp-server 端口映射 3005:3000
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# - 建议修改账密后再运行
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# root 默认密码（重启后会强制重置该密码成环境变量值）
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x-default-root-psw: &x-default-root-psw '1234'
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# 系统最高密钥凭证
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x-system-key: &x-system-key 'fastgpt-xxx'
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# plugin auth token
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x-plugin-auth-token: &x-plugin-auth-token 'token'
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# code sandbox token
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x-code-sandbox-token: &x-code-sandbox-token 'codesandbox'
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# aiproxy token
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x-aiproxy-token: &x-aiproxy-token 'token'
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# 数据库连接相关配置
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x-share-db-config: &x-share-db-config
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MONGODB_URI: mongodb://myusername:mypassword@mongo:27017/fastgpt?authSource=admin
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DB_MAX_LINK: 100
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REDIS_URL: redis://default:mypassword@redis:6379
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# @see https://doc.fastgpt.cn/docs/self-host/config/object-storage
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STORAGE_VENDOR: minio # minio | aws-s3 | cos | oss
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STORAGE_REGION: us-east-1
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STORAGE_ACCESS_KEY_ID: minioadmin
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STORAGE_SECRET_ACCESS_KEY: minioadmin
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STORAGE_PUBLIC_BUCKET: fastgpt-public
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STORAGE_PRIVATE_BUCKET: fastgpt-private
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STORAGE_EXTERNAL_ENDPOINT: http://192.168.0.2:9000 # 一个服务器和客户端均可访问到存储桶的地址，可以是固定的宿主机 IP 或者域名，注意不要填写成 127.0.0.1 或者 localhost 等本地回环地址(因为容器里无法使用)
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STORAGE_S3_ENDPOINT: http://fastgpt-minio:9000 # 协议://域名(IP):端口
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STORAGE_S3_FORCE_PATH_STYLE: true
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STORAGE_S3_MAX_RETRIES: 3
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# Log 配置
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x-log-config: &x-log-config
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LOG_ENABLE_CONSOLE: true
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LOG_CONSOLE_LEVEL: debug
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LOG_ENABLE_OTEL: false
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LOG_OTEL_LEVEL: info
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LOG_OTEL_URL: http://localhost:4318/v1/logs
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# 向量库相关配置（openGauss DataVec，使用独立环境变量）
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x-vec-config: &x-vec-config
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OPENGAUSS_URL: postgresql://gaussdb:FastGPT@123@opengauss:5432/fastgpt
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version: '3.3'
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services:
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# Vector DB - openGauss
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vectorDB:
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image: opengauss/opengauss:7.0.0-RC1
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container_name: opengauss
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restart: always
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privileged: true
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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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- GS_USERNAME=gaussdb # 默认会创建 gaussdb 用户
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- GS_PASSWORD=FastGPT@123 # 密码必须包含大写、小写、数字和特殊字符，且长度不少于8位
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- GS_DB=fastgpt # 默认会创建 postgres 数据库，这里以 fastgpt 为例
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volumes:
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- ./opengauss/data:/var/lib/opengauss
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healthcheck:
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test: ['CMD-SHELL', 'su - omm -c "gsql -d postgres -p 5432 -c \"SELECT 1\""']
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interval: 10s
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timeout: 5s
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retries: 10
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start_period: 30s
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mongo:
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image: registry.cn-hangzhou.aliyuncs.com/fastgpt/mongo:5.0.32 # cpu 不支持 AVX 时候使用 4.4.29
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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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healthcheck:
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test: ['CMD', 'mongo', '-u', 'myusername', '-p', 'mypassword', '--authenticationDatabase', 'admin', '--eval', "db.adminCommand('ping')"]
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interval: 10s
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timeout: 5s
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retries: 5
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start_period: 30s
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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: registry.cn-hangzhou.aliyuncs.com/fastgpt/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: registry.cn-hangzhou.aliyuncs.com/fastgpt/minio:RELEASE.2025-09-07T16-13-09Z
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container_name: fastgpt-minio
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restart: always
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ports:
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- 9000:9000
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- 9001:9001
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networks:
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- fastgpt
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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: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.14.9.3 # git
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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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- code-sandbox
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- vectorDB
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restart: always
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environment:
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<<: [*x-share-db-config, *x-vec-config, *x-log-config]
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# ==================== 基础配置 ====================
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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: http://localhost:3000
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# root key（最高权限）
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ROOT_KEY: *x-system-key
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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: *x-default-root-psw
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# 数据库最大连接数
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DB_MAX_LINK: 5
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# 自动同步索引（0 表示不同步）
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SYNC_INDEX: 1
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TOKEN_KEY: fastgpt
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# 文件阅读时的密钥
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FILE_TOKEN_KEY: filetokenkey
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# 密钥加密 key
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AES256_SECRET_KEY: fastgptsecret
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# 强制将图片转成 base64 传递给模型
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MULTIPLE_DATA_TO_BASE64: true
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# ==================== 服务地址与集成 ====================
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# plugin 地址
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PLUGIN_BASE_URL: http://fastgpt-plugin:3000
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PLUGIN_TOKEN: *x-plugin-auth-token
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# code-sandbox 地址
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SANDBOX_URL: http://code-sandbox:3000
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SANDBOX_TOKEN: *x-code-sandbox-token
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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: *x-aiproxy-token
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# ==================== 日志与监控 ====================
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# 传递给 OTLP 收集器的服务名称
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LOG_OTEL_SERVICE_NAME: fastgpt-client
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# ==================== 安全与运行限制 ====================
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# 启动 IP 限流（true）；部分接口启用 IP 限流策略以防止异常请求
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USE_IP_LIMIT: false
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# 工作流最大运行次数，避免极端死循环
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WORKFLOW_MAX_RUN_TIMES: 1000
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# 循环最大运行次数，避免极端死循环
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WORKFLOW_MAX_LOOP_TIMES: 100
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# 服务器接收请求的最大大小（MB）
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SERVICE_REQUEST_MAX_CONTENT_LENGTH: 10
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# 启用内网 IP 检查
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CHECK_INTERNAL_IP: false
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# ==================== 上传与账号策略 ====================
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# 最大上传文件大小（MB）
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UPLOAD_FILE_MAX_SIZE: 1000
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# 最大上传文件数量
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UPLOAD_FILE_MAX_AMOUNT: 1000
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# LLM 请求追踪保留时长（小时）
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LLM_REQUEST_TRACKING_RETENTION_HOURS: 6
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# ==================== 功能开关与特殊配置 ====================
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# 自定义跨域；不配置时默认允许所有跨域（逗号分割）
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ALLOWED_ORIGINS:
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# HTML 转 Markdown 最大字符数（超过后不执行转换）
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MAX_HTML_TRANSFORM_CHARS: 1000000
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volumes:
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- ./config.json:/app/data/config.json
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code-sandbox:
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container_name: code-sandbox
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image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.14.9.3
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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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<<: [*x-log-config]
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LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
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SANDBOX_TOKEN: *x-code-sandbox-token
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# ===== Resource Limits =====
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# Execution timeout per request (ms)
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SANDBOX_MAX_TIMEOUT: 60000
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# Maximum allowed memory per user code execution (MB)
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# Note: System automatically adds 50MB for runtime overhead
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# Actual process limit = SANDBOX_MAX_MEMORY_MB + 50MB
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SANDBOX_MAX_MEMORY_MB: 256
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# ===== Process Pool =====
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# Number of pre-warmed worker processes (JS + Python)
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SANDBOX_POOL_SIZE: 20
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# ===== Network Request Limits =====
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# Whether to check if the request is to a private network
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CHECK_INTERNAL_IP: false
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# Maximum number of HTTP requests per execution
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SANDBOX_REQUEST_MAX_COUNT: 30
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# Timeout for each outbound HTTP request (ms)
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SANDBOX_REQUEST_TIMEOUT: 60000
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# Maximum response body size for outbound requests
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SANDBOX_REQUEST_MAX_RESPONSE_MB: 10
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# Maximum request body size for outbound requests (MB)
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SANDBOX_REQUEST_MAX_BODY_MB: 5
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# ===== Module Control =====
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# JS allowed modules whitelist (comma-separated)
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SANDBOX_JS_ALLOWED_MODULES: lodash,dayjs,moment,uuid,crypto-js,qs,url,querystring
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# Python allowed modules whitelist (comma-separated)
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SANDBOX_PYTHON_ALLOWED_MODULES: math,cmath,decimal,fractions,random,statistics,collections,array,heapq,bisect,queue,copy,itertools,functools,operator,string,re,difflib,textwrap,unicodedata,codecs,datetime,time,calendar,_strptime,json,csv,base64,binascii,struct,hashlib,hmac,secrets,uuid,typing,abc,enum,dataclasses,contextlib,pprint,weakref,numpy,pandas,matplotlib
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healthcheck:
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test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
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interval: 30s
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timeout: 20s
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retries: 3
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fastgpt-mcp-server:
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container_name: fastgpt-mcp-server
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image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-mcp_server:v4.14.9
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networks:
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- fastgpt
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ports:
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- 3005:3000
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restart: always
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environment:
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<<: [*x-log-config]
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FASTGPT_ENDPOINT: http://fastgpt:3000
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fastgpt-plugin:
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image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-plugin:v0.5.5
|
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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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<<: [*x-share-db-config, *x-log-config]
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AUTH_TOKEN: *x-plugin-auth-token
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# 工具网络请求，最大请求和响应体
|
||||
SERVICE_REQUEST_MAX_CONTENT_LENGTH: 10
|
||||
# 最大 API 请求体大小
|
||||
MAX_API_SIZE: 10
|
||||
# 传递给 OTLP 收集器的服务名称
|
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LOG_OTEL_SERVICE_NAME: fastgpt-plugin
|
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depends_on:
|
||||
fastgpt-minio:
|
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condition: service_healthy
|
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healthcheck:
|
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test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
|
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interval: 30s
|
||||
timeout: 20s
|
||||
retries: 3
|
||||
# AI Proxy
|
||||
aiproxy:
|
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image: registry.cn-hangzhou.aliyuncs.com/labring/aiproxy:v0.3.5
|
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container_name: aiproxy
|
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restart: unless-stopped
|
||||
depends_on:
|
||||
aiproxy_pg:
|
||||
condition: service_healthy
|
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networks:
|
||||
- fastgpt
|
||||
- aiproxy
|
||||
environment:
|
||||
# 对应 fastgpt 里的AIPROXY_API_TOKEN
|
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ADMIN_KEY: *x-aiproxy-token
|
||||
# 错误日志详情保存时间（小时）
|
||||
LOG_DETAIL_STORAGE_HOURS: 1
|
||||
# 数据库连接地址
|
||||
SQL_DSN: postgres://postgres:aiproxy@aiproxy_pg:5432/aiproxy
|
||||
# 最大重试次数
|
||||
RETRY_TIMES: 3
|
||||
# 不需要计费
|
||||
BILLING_ENABLED: false
|
||||
# 不需要严格检测模型
|
||||
DISABLE_MODEL_CONFIG: true
|
||||
healthcheck:
|
||||
test: ['CMD', 'curl', '-f', 'http://localhost:3000/api/status']
|
||||
interval: 5s
|
||||
timeout: 5s
|
||||
retries: 10
|
||||
aiproxy_pg:
|
||||
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/pgvector:0.8.0-pg15 # docker hub
|
||||
restart: unless-stopped
|
||||
container_name: aiproxy_pg
|
||||
volumes:
|
||||
- ./aiproxy_pg:/var/lib/postgresql/data
|
||||
networks:
|
||||
- aiproxy
|
||||
environment:
|
||||
TZ: Asia/Shanghai
|
||||
POSTGRES_USER: postgres
|
||||
POSTGRES_DB: aiproxy
|
||||
POSTGRES_PASSWORD: aiproxy
|
||||
healthcheck:
|
||||
test: ['CMD', 'pg_isready', '-U', 'postgres', '-d', 'aiproxy']
|
||||
interval: 5s
|
||||
timeout: 5s
|
||||
retries: 10
|
||||
networks:
|
||||
fastgpt:
|
||||
aiproxy:
|
||||
vector:
|
||||
@@ -0,0 +1,355 @@
|
||||
# 用于部署的 docker-compose 文件:
|
||||
# - FastGPT 端口映射为 3000:3000
|
||||
# - FastGPT-mcp-server 端口映射 3005:3000
|
||||
# - 建议修改账密后再运行
|
||||
|
||||
# root 默认密码（重启后会强制重置该密码成环境变量值）
|
||||
x-default-root-psw: &x-default-root-psw '1234'
|
||||
# 系统最高密钥凭证
|
||||
x-system-key: &x-system-key 'fastgpt-xxx'
|
||||
# plugin auth token
|
||||
x-plugin-auth-token: &x-plugin-auth-token 'token'
|
||||
# code sandbox token
|
||||
x-code-sandbox-token: &x-code-sandbox-token 'codesandbox'
|
||||
# aiproxy token
|
||||
x-aiproxy-token: &x-aiproxy-token 'token'
|
||||
# 数据库连接相关配置
|
||||
x-share-db-config: &x-share-db-config
|
||||
MONGODB_URI: mongodb://myusername:mypassword@mongo:27017/fastgpt?authSource=admin
|
||||
DB_MAX_LINK: 100
|
||||
REDIS_URL: redis://default:mypassword@redis:6379
|
||||
# @see https://doc.fastgpt.cn/docs/self-host/config/object-storage
|
||||
STORAGE_VENDOR: minio # minio | aws-s3 | cos | oss
|
||||
STORAGE_REGION: us-east-1
|
||||
STORAGE_ACCESS_KEY_ID: minioadmin
|
||||
STORAGE_SECRET_ACCESS_KEY: minioadmin
|
||||
STORAGE_PUBLIC_BUCKET: fastgpt-public
|
||||
STORAGE_PRIVATE_BUCKET: fastgpt-private
|
||||
STORAGE_EXTERNAL_ENDPOINT: http://192.168.0.2:9000 # 一个服务器和客户端均可访问到存储桶的地址，可以是固定的宿主机 IP 或者域名，注意不要填写成 127.0.0.1 或者 localhost 等本地回环地址(因为容器里无法使用)
|
||||
STORAGE_S3_ENDPOINT: http://fastgpt-minio:9000 # 协议://域名(IP):端口
|
||||
STORAGE_S3_FORCE_PATH_STYLE: true
|
||||
STORAGE_S3_MAX_RETRIES: 3
|
||||
# Log 配置
|
||||
x-log-config: &x-log-config
|
||||
LOG_ENABLE_CONSOLE: true
|
||||
LOG_CONSOLE_LEVEL: debug
|
||||
LOG_ENABLE_OTEL: false
|
||||
LOG_OTEL_LEVEL: info
|
||||
LOG_OTEL_URL: http://localhost:4318/v1/logs
|
||||
|
||||
# 向量库相关配置（openGauss DataVec，使用独立环境变量）
|
||||
x-vec-config: &x-vec-config
|
||||
OPENGAUSS_URL: postgresql://gaussdb:FastGPT@123@opengauss:5432/fastgpt
|
||||
|
||||
version: '3.3'
|
||||
services:
|
||||
# Vector DB - openGauss
|
||||
vectorDB:
|
||||
image: opengauss/opengauss:7.0.0-RC1
|
||||
container_name: opengauss
|
||||
restart: always
|
||||
privileged: true
|
||||
networks:
|
||||
- fastgpt
|
||||
environment:
|
||||
# 这里的配置只有首次运行生效。修改后，重启镜像是不会生效的。需要把持久化数据删除再重启，才有效果
|
||||
- GS_USERNAME=gaussdb # 默认会创建 gaussdb 用户
|
||||
- GS_PASSWORD=FastGPT@123 # 密码必须包含大写、小写、数字和特殊字符，且长度不少于8位
|
||||
- GS_DB=fastgpt # 默认会创建 postgres 数据库，这里以 fastgpt 为例
|
||||
volumes:
|
||||
- ./opengauss/data:/var/lib/opengauss
|
||||
healthcheck:
|
||||
test: ['CMD-SHELL', 'su - omm -c "gsql -d postgres -p 5432 -c \"SELECT 1\""']
|
||||
interval: 10s
|
||||
timeout: 5s
|
||||
retries: 10
|
||||
start_period: 30s
|
||||
mongo:
|
||||
image: mongo:5.0.32 # cpu 不支持 AVX 时候使用 4.4.29
|
||||
container_name: mongo
|
||||
restart: always
|
||||
networks:
|
||||
- fastgpt
|
||||
command: mongod --keyFile /data/mongodb.key --replSet rs0
|
||||
environment:
|
||||
- MONGO_INITDB_ROOT_USERNAME=myusername
|
||||
- MONGO_INITDB_ROOT_PASSWORD=mypassword
|
||||
volumes:
|
||||
- ./mongo/data:/data/db
|
||||
healthcheck:
|
||||
test: ['CMD', 'mongo', '-u', 'myusername', '-p', 'mypassword', '--authenticationDatabase', 'admin', '--eval', "db.adminCommand('ping')"]
|
||||
interval: 10s
|
||||
timeout: 5s
|
||||
retries: 5
|
||||
start_period: 30s
|
||||
entrypoint:
|
||||
- bash
|
||||
- -c
|
||||
- |
|
||||
openssl rand -base64 128 > /data/mongodb.key
|
||||
chmod 400 /data/mongodb.key
|
||||
chown 999:999 /data/mongodb.key
|
||||
echo 'const isInited = rs.status().ok === 1
|
||||
if(!isInited){
|
||||
rs.initiate({
|
||||
_id: "rs0",
|
||||
members: [
|
||||
{ _id: 0, host: "mongo:27017" }
|
||||
]
|
||||
})
|
||||
}' > /data/initReplicaSet.js
|
||||
# 启动MongoDB服务
|
||||
exec docker-entrypoint.sh "$$@" &
|
||||
|
||||
# 等待MongoDB服务启动
|
||||
until mongo -u myusername -p mypassword --authenticationDatabase admin --eval "print('waited for connection')"; do
|
||||
echo "Waiting for MongoDB to start..."
|
||||
sleep 2
|
||||
done
|
||||
|
||||
# 执行初始化副本集的脚本
|
||||
mongo -u myusername -p mypassword --authenticationDatabase admin /data/initReplicaSet.js
|
||||
|
||||
# 等待docker-entrypoint.sh脚本执行的MongoDB服务进程
|
||||
wait $$!
|
||||
redis:
|
||||
image: redis:7.2-alpine
|
||||
container_name: redis
|
||||
networks:
|
||||
- fastgpt
|
||||
restart: always
|
||||
command: |
|
||||
redis-server --requirepass mypassword --loglevel warning --maxclients 10000 --appendonly yes --save 60 10 --maxmemory 4gb --maxmemory-policy noeviction
|
||||
healthcheck:
|
||||
test: ['CMD', 'redis-cli', '-a', 'mypassword', 'ping']
|
||||
interval: 10s
|
||||
timeout: 3s
|
||||
retries: 3
|
||||
start_period: 30s
|
||||
volumes:
|
||||
- ./redis/data:/data
|
||||
fastgpt-minio:
|
||||
image: minio/minio:RELEASE.2025-09-07T16-13-09Z
|
||||
container_name: fastgpt-minio
|
||||
restart: always
|
||||
ports:
|
||||
- 9000:9000
|
||||
- 9001:9001
|
||||
networks:
|
||||
- fastgpt
|
||||
environment:
|
||||
- MINIO_ROOT_USER=minioadmin
|
||||
- MINIO_ROOT_PASSWORD=minioadmin
|
||||
volumes:
|
||||
- ./fastgpt-minio:/data
|
||||
command: server /data --console-address ":9001"
|
||||
healthcheck:
|
||||
test: ['CMD', 'curl', '-f', 'http://localhost:9000/minio/health/live']
|
||||
interval: 30s
|
||||
timeout: 20s
|
||||
retries: 3
|
||||
|
||||
fastgpt:
|
||||
container_name: fastgpt
|
||||
image: ghcr.io/labring/fastgpt:v4.14.9.3 # git
|
||||
ports:
|
||||
- 3000:3000
|
||||
networks:
|
||||
- fastgpt
|
||||
depends_on:
|
||||
- mongo
|
||||
- code-sandbox
|
||||
- vectorDB
|
||||
restart: always
|
||||
environment:
|
||||
<<: [*x-share-db-config, *x-vec-config, *x-log-config]
|
||||
# ==================== 基础配置 ====================
|
||||
# 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。
|
||||
FE_DOMAIN: http://localhost:3000
|
||||
# root key（最高权限）
|
||||
ROOT_KEY: *x-system-key
|
||||
# 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。
|
||||
DEFAULT_ROOT_PSW: *x-default-root-psw
|
||||
# 数据库最大连接数
|
||||
DB_MAX_LINK: 5
|
||||
# 自动同步索引（0 表示不同步）
|
||||
SYNC_INDEX: 1
|
||||
TOKEN_KEY: fastgpt
|
||||
# 文件阅读时的密钥
|
||||
FILE_TOKEN_KEY: filetokenkey
|
||||
# 密钥加密 key
|
||||
AES256_SECRET_KEY: fastgptsecret
|
||||
# 强制将图片转成 base64 传递给模型
|
||||
MULTIPLE_DATA_TO_BASE64: true
|
||||
|
||||
# ==================== 服务地址与集成 ====================
|
||||
# plugin 地址
|
||||
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
|
||||
PLUGIN_TOKEN: *x-plugin-auth-token
|
||||
# code-sandbox 地址
|
||||
SANDBOX_URL: http://code-sandbox:3000
|
||||
SANDBOX_TOKEN: *x-code-sandbox-token
|
||||
# AI Proxy 的地址，如果配了该地址，优先使用
|
||||
AIPROXY_API_ENDPOINT: http://aiproxy:3000
|
||||
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
|
||||
AIPROXY_API_TOKEN: *x-aiproxy-token
|
||||
|
||||
# ==================== 日志与监控 ====================
|
||||
# 传递给 OTLP 收集器的服务名称
|
||||
LOG_OTEL_SERVICE_NAME: fastgpt-client
|
||||
|
||||
# ==================== 安全与运行限制 ====================
|
||||
# 启动 IP 限流（true）；部分接口启用 IP 限流策略以防止异常请求
|
||||
USE_IP_LIMIT: false
|
||||
# 工作流最大运行次数，避免极端死循环
|
||||
WORKFLOW_MAX_RUN_TIMES: 1000
|
||||
# 循环最大运行次数，避免极端死循环
|
||||
WORKFLOW_MAX_LOOP_TIMES: 100
|
||||
# 服务器接收请求的最大大小（MB）
|
||||
SERVICE_REQUEST_MAX_CONTENT_LENGTH: 10
|
||||
# 启用内网 IP 检查
|
||||
CHECK_INTERNAL_IP: false
|
||||
# ==================== 上传与账号策略 ====================
|
||||
# 最大上传文件大小（MB）
|
||||
UPLOAD_FILE_MAX_SIZE: 1000
|
||||
# 最大上传文件数量
|
||||
UPLOAD_FILE_MAX_AMOUNT: 1000
|
||||
# LLM 请求追踪保留时长（小时）
|
||||
LLM_REQUEST_TRACKING_RETENTION_HOURS: 6
|
||||
# ==================== 功能开关与特殊配置 ====================
|
||||
# 自定义跨域；不配置时默认允许所有跨域（逗号分割）
|
||||
ALLOWED_ORIGINS:
|
||||
# HTML 转 Markdown 最大字符数（超过后不执行转换）
|
||||
MAX_HTML_TRANSFORM_CHARS: 1000000
|
||||
volumes:
|
||||
- ./config.json:/app/data/config.json
|
||||
code-sandbox:
|
||||
container_name: code-sandbox
|
||||
image: ghcr.io/labring/fastgpt-sandbox:v4.14.9.3
|
||||
networks:
|
||||
- fastgpt
|
||||
restart: always
|
||||
environment:
|
||||
<<: [*x-log-config]
|
||||
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
|
||||
SANDBOX_TOKEN: *x-code-sandbox-token
|
||||
# ===== Resource Limits =====
|
||||
# Execution timeout per request (ms)
|
||||
SANDBOX_MAX_TIMEOUT: 60000
|
||||
# Maximum allowed memory per user code execution (MB)
|
||||
# Note: System automatically adds 50MB for runtime overhead
|
||||
# Actual process limit = SANDBOX_MAX_MEMORY_MB + 50MB
|
||||
SANDBOX_MAX_MEMORY_MB: 256
|
||||
|
||||
# ===== Process Pool =====
|
||||
# Number of pre-warmed worker processes (JS + Python)
|
||||
SANDBOX_POOL_SIZE: 20
|
||||
|
||||
# ===== Network Request Limits =====
|
||||
# Whether to check if the request is to a private network
|
||||
CHECK_INTERNAL_IP: false
|
||||
# Maximum number of HTTP requests per execution
|
||||
SANDBOX_REQUEST_MAX_COUNT: 30
|
||||
# Timeout for each outbound HTTP request (ms)
|
||||
SANDBOX_REQUEST_TIMEOUT: 60000
|
||||
# Maximum response body size for outbound requests
|
||||
SANDBOX_REQUEST_MAX_RESPONSE_MB: 10
|
||||
# Maximum request body size for outbound requests (MB)
|
||||
SANDBOX_REQUEST_MAX_BODY_MB: 5
|
||||
|
||||
# ===== Module Control =====
|
||||
# JS allowed modules whitelist (comma-separated)
|
||||
SANDBOX_JS_ALLOWED_MODULES: lodash,dayjs,moment,uuid,crypto-js,qs,url,querystring
|
||||
# Python allowed modules whitelist (comma-separated)
|
||||
SANDBOX_PYTHON_ALLOWED_MODULES: math,cmath,decimal,fractions,random,statistics,collections,array,heapq,bisect,queue,copy,itertools,functools,operator,string,re,difflib,textwrap,unicodedata,codecs,datetime,time,calendar,_strptime,json,csv,base64,binascii,struct,hashlib,hmac,secrets,uuid,typing,abc,enum,dataclasses,contextlib,pprint,weakref,numpy,pandas,matplotlib
|
||||
|
||||
healthcheck:
|
||||
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
|
||||
interval: 30s
|
||||
timeout: 20s
|
||||
retries: 3
|
||||
fastgpt-mcp-server:
|
||||
container_name: fastgpt-mcp-server
|
||||
image: ghcr.io/labring/fastgpt-mcp_server:v4.14.9
|
||||
networks:
|
||||
- fastgpt
|
||||
ports:
|
||||
- 3005:3000
|
||||
restart: always
|
||||
environment:
|
||||
<<: [*x-log-config]
|
||||
FASTGPT_ENDPOINT: http://fastgpt:3000
|
||||
fastgpt-plugin:
|
||||
image: ghcr.io/labring/fastgpt-plugin:v0.5.5
|
||||
container_name: fastgpt-plugin
|
||||
restart: always
|
||||
networks:
|
||||
- fastgpt
|
||||
environment:
|
||||
<<: [*x-share-db-config, *x-log-config]
|
||||
AUTH_TOKEN: *x-plugin-auth-token
|
||||
# 工具网络请求，最大请求和响应体
|
||||
SERVICE_REQUEST_MAX_CONTENT_LENGTH: 10
|
||||
# 最大 API 请求体大小
|
||||
MAX_API_SIZE: 10
|
||||
# 传递给 OTLP 收集器的服务名称
|
||||
LOG_OTEL_SERVICE_NAME: fastgpt-plugin
|
||||
depends_on:
|
||||
fastgpt-minio:
|
||||
condition: service_healthy
|
||||
healthcheck:
|
||||
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
|
||||
interval: 30s
|
||||
timeout: 20s
|
||||
retries: 3
|
||||
# AI Proxy
|
||||
aiproxy:
|
||||
image: ghcr.io/labring/aiproxy:v0.3.5
|
||||
container_name: aiproxy
|
||||
restart: unless-stopped
|
||||
depends_on:
|
||||
aiproxy_pg:
|
||||
condition: service_healthy
|
||||
networks:
|
||||
- fastgpt
|
||||
- aiproxy
|
||||
environment:
|
||||
# 对应 fastgpt 里的AIPROXY_API_TOKEN
|
||||
ADMIN_KEY: *x-aiproxy-token
|
||||
# 错误日志详情保存时间（小时）
|
||||
LOG_DETAIL_STORAGE_HOURS: 1
|
||||
# 数据库连接地址
|
||||
SQL_DSN: postgres://postgres:aiproxy@aiproxy_pg:5432/aiproxy
|
||||
# 最大重试次数
|
||||
RETRY_TIMES: 3
|
||||
# 不需要计费
|
||||
BILLING_ENABLED: false
|
||||
# 不需要严格检测模型
|
||||
DISABLE_MODEL_CONFIG: true
|
||||
healthcheck:
|
||||
test: ['CMD', 'curl', '-f', 'http://localhost:3000/api/status']
|
||||
interval: 5s
|
||||
timeout: 5s
|
||||
retries: 10
|
||||
aiproxy_pg:
|
||||
image: pgvector/pgvector:0.8.0-pg15 # docker hub
|
||||
restart: unless-stopped
|
||||
container_name: aiproxy_pg
|
||||
volumes:
|
||||
- ./aiproxy_pg:/var/lib/postgresql/data
|
||||
networks:
|
||||
- aiproxy
|
||||
environment:
|
||||
TZ: Asia/Shanghai
|
||||
POSTGRES_USER: postgres
|
||||
POSTGRES_DB: aiproxy
|
||||
POSTGRES_PASSWORD: aiproxy
|
||||
healthcheck:
|
||||
test: ['CMD', 'pg_isready', '-U', 'postgres', '-d', 'aiproxy']
|
||||
interval: 5s
|
||||
timeout: 5s
|
||||
retries: 10
|
||||
networks:
|
||||
fastgpt:
|
||||
aiproxy:
|
||||
vector:
|
||||
+19
-1
@@ -18,7 +18,8 @@ const VectorEnum = {
|
||||
milvus: 'milvus',
|
||||
zilliz: 'zilliz',
|
||||
ob: 'ob',
|
||||
seekdb: 'seekdb'
|
||||
seekdb: 'seekdb',
|
||||
opengauss: 'opengauss'
|
||||
};
|
||||
|
||||
// make sure the cwd
|
||||
@@ -110,6 +111,12 @@ init_sql:
|
||||
`,
|
||||
extra: ``
|
||||
},
|
||||
opengauss: {
|
||||
db: '',
|
||||
config: `\
|
||||
OPENGAUSS_URL: postgresql://gaussdb:FastGPT@123@opengauss:5432/fastgpt`,
|
||||
extra: ''
|
||||
},
|
||||
};
|
||||
|
||||
/**
|
||||
@@ -155,6 +162,9 @@ const replace = (source, region, vec) => {
|
||||
|
||||
const seekdb = fs.readFileSync(path.join(process.cwd(), 'templates', 'vector', 'seekdb.txt'));
|
||||
vector.seekdb.db = String(seekdb);
|
||||
|
||||
const opengauss = fs.readFileSync(path.join(process.cwd(), 'templates', 'vector', 'opengauss.txt'));
|
||||
vector.opengauss.db = String(opengauss);
|
||||
}
|
||||
|
||||
const generateDevFile = async () => {
|
||||
@@ -226,6 +236,14 @@ const generateProdFile = async () => {
|
||||
fs.promises.writeFile(
|
||||
path.join(process.cwd(), 'docker', 'global', 'docker-compose.seekdb.yml'),
|
||||
replace(template, 'global', VectorEnum.seekdb)
|
||||
),
|
||||
fs.promises.writeFile(
|
||||
path.join(process.cwd(), 'docker', 'cn', 'docker-compose.opengauss.yml'),
|
||||
replace(template, 'cn', VectorEnum.opengauss)
|
||||
),
|
||||
fs.promises.writeFile(
|
||||
path.join(process.cwd(), 'docker', 'global', 'docker-compose.opengauss.yml'),
|
||||
replace(template, 'global', VectorEnum.opengauss)
|
||||
)
|
||||
]);
|
||||
|
||||
|
||||
@@ -0,0 +1,20 @@
|
||||
vectorDB:
|
||||
image: opengauss/opengauss:7.0.0-RC1
|
||||
container_name: opengauss
|
||||
restart: always
|
||||
privileged: true
|
||||
networks:
|
||||
- fastgpt
|
||||
environment:
|
||||
# 这里的配置只有首次运行生效。修改后，重启镜像是不会生效的。需要把持久化数据删除再重启，才有效果
|
||||
- GS_USERNAME=gaussdb # 默认会创建 gaussdb 用户
|
||||
- GS_PASSWORD=FastGPT@123 # 密码必须包含大写、小写、数字和特殊字符，且长度不少于8位
|
||||
- GS_DB=fastgpt # 默认会创建 postgres 数据库，这里以 fastgpt 为例
|
||||
volumes:
|
||||
- ./opengauss/data:/var/lib/opengauss
|
||||
healthcheck:
|
||||
test: ['CMD-SHELL', 'su - omm -c "gsql -d postgres -p 5432 -c \"SELECT 1\""']
|
||||
interval: 10s
|
||||
timeout: 5s
|
||||
retries: 10
|
||||
start_period: 30s
|
||||
@@ -0,0 +1,355 @@
|
||||
# 用于部署的 docker-compose 文件:
|
||||
# - FastGPT 端口映射为 3000:3000
|
||||
# - FastGPT-mcp-server 端口映射 3005:3000
|
||||
# - 建议修改账密后再运行
|
||||
|
||||
# root 默认密码（重启后会强制重置该密码成环境变量值）
|
||||
x-default-root-psw: &x-default-root-psw '1234'
|
||||
# 系统最高密钥凭证
|
||||
x-system-key: &x-system-key 'fastgpt-xxx'
|
||||
# plugin auth token
|
||||
x-plugin-auth-token: &x-plugin-auth-token 'token'
|
||||
# code sandbox token
|
||||
x-code-sandbox-token: &x-code-sandbox-token 'codesandbox'
|
||||
# aiproxy token
|
||||
x-aiproxy-token: &x-aiproxy-token 'token'
|
||||
# 数据库连接相关配置
|
||||
x-share-db-config: &x-share-db-config
|
||||
MONGODB_URI: mongodb://myusername:mypassword@mongo:27017/fastgpt?authSource=admin
|
||||
DB_MAX_LINK: 100
|
||||
REDIS_URL: redis://default:mypassword@redis:6379
|
||||
# @see https://doc.fastgpt.cn/docs/self-host/config/object-storage
|
||||
STORAGE_VENDOR: minio # minio | aws-s3 | cos | oss
|
||||
STORAGE_REGION: us-east-1
|
||||
STORAGE_ACCESS_KEY_ID: minioadmin
|
||||
STORAGE_SECRET_ACCESS_KEY: minioadmin
|
||||
STORAGE_PUBLIC_BUCKET: fastgpt-public
|
||||
STORAGE_PRIVATE_BUCKET: fastgpt-private
|
||||
STORAGE_EXTERNAL_ENDPOINT: http://192.168.0.2:9000 # 一个服务器和客户端均可访问到存储桶的地址，可以是固定的宿主机 IP 或者域名，注意不要填写成 127.0.0.1 或者 localhost 等本地回环地址(因为容器里无法使用)
|
||||
STORAGE_S3_ENDPOINT: http://fastgpt-minio:9000 # 协议://域名(IP):端口
|
||||
STORAGE_S3_FORCE_PATH_STYLE: true
|
||||
STORAGE_S3_MAX_RETRIES: 3
|
||||
# Log 配置
|
||||
x-log-config: &x-log-config
|
||||
LOG_ENABLE_CONSOLE: true
|
||||
LOG_CONSOLE_LEVEL: debug
|
||||
LOG_ENABLE_OTEL: false
|
||||
LOG_OTEL_LEVEL: info
|
||||
LOG_OTEL_URL: http://localhost:4318/v1/logs
|
||||
|
||||
# 向量库相关配置（openGauss DataVec，使用独立环境变量）
|
||||
x-vec-config: &x-vec-config
|
||||
OPENGAUSS_URL: postgresql://gaussdb:FastGPT@123@opengauss:5432/fastgpt
|
||||
|
||||
version: '3.3'
|
||||
services:
|
||||
# Vector DB - openGauss
|
||||
vectorDB:
|
||||
image: opengauss/opengauss:7.0.0-RC1
|
||||
container_name: opengauss
|
||||
restart: always
|
||||
privileged: true
|
||||
networks:
|
||||
- fastgpt
|
||||
environment:
|
||||
# 这里的配置只有首次运行生效。修改后，重启镜像是不会生效的。需要把持久化数据删除再重启，才有效果
|
||||
- GS_USERNAME=gaussdb # 默认会创建 gaussdb 用户
|
||||
- GS_PASSWORD=FastGPT@123 # 密码必须包含大写、小写、数字和特殊字符，且长度不少于8位
|
||||
- GS_DB=fastgpt # 默认会创建 postgres 数据库，这里以 fastgpt 为例
|
||||
volumes:
|
||||
- ./opengauss/data:/var/lib/opengauss
|
||||
healthcheck:
|
||||
test: ['CMD-SHELL', 'su - omm -c "gsql -d postgres -p 5432 -c \"SELECT 1\""']
|
||||
interval: 10s
|
||||
timeout: 5s
|
||||
retries: 10
|
||||
start_period: 30s
|
||||
mongo:
|
||||
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/mongo:5.0.32 # cpu 不支持 AVX 时候使用 4.4.29
|
||||
container_name: mongo
|
||||
restart: always
|
||||
networks:
|
||||
- fastgpt
|
||||
command: mongod --keyFile /data/mongodb.key --replSet rs0
|
||||
environment:
|
||||
- MONGO_INITDB_ROOT_USERNAME=myusername
|
||||
- MONGO_INITDB_ROOT_PASSWORD=mypassword
|
||||
volumes:
|
||||
- ./mongo/data:/data/db
|
||||
healthcheck:
|
||||
test: ['CMD', 'mongo', '-u', 'myusername', '-p', 'mypassword', '--authenticationDatabase', 'admin', '--eval', "db.adminCommand('ping')"]
|
||||
interval: 10s
|
||||
timeout: 5s
|
||||
retries: 5
|
||||
start_period: 30s
|
||||
entrypoint:
|
||||
- bash
|
||||
- -c
|
||||
- |
|
||||
openssl rand -base64 128 > /data/mongodb.key
|
||||
chmod 400 /data/mongodb.key
|
||||
chown 999:999 /data/mongodb.key
|
||||
echo 'const isInited = rs.status().ok === 1
|
||||
if(!isInited){
|
||||
rs.initiate({
|
||||
_id: "rs0",
|
||||
members: [
|
||||
{ _id: 0, host: "mongo:27017" }
|
||||
]
|
||||
})
|
||||
}' > /data/initReplicaSet.js
|
||||
# 启动MongoDB服务
|
||||
exec docker-entrypoint.sh "$$@" &
|
||||
|
||||
# 等待MongoDB服务启动
|
||||
until mongo -u myusername -p mypassword --authenticationDatabase admin --eval "print('waited for connection')"; do
|
||||
echo "Waiting for MongoDB to start..."
|
||||
sleep 2
|
||||
done
|
||||
|
||||
# 执行初始化副本集的脚本
|
||||
mongo -u myusername -p mypassword --authenticationDatabase admin /data/initReplicaSet.js
|
||||
|
||||
# 等待docker-entrypoint.sh脚本执行的MongoDB服务进程
|
||||
wait $$!
|
||||
redis:
|
||||
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/redis:7.2-alpine
|
||||
container_name: redis
|
||||
networks:
|
||||
- fastgpt
|
||||
restart: always
|
||||
command: |
|
||||
redis-server --requirepass mypassword --loglevel warning --maxclients 10000 --appendonly yes --save 60 10 --maxmemory 4gb --maxmemory-policy noeviction
|
||||
healthcheck:
|
||||
test: ['CMD', 'redis-cli', '-a', 'mypassword', 'ping']
|
||||
interval: 10s
|
||||
timeout: 3s
|
||||
retries: 3
|
||||
start_period: 30s
|
||||
volumes:
|
||||
- ./redis/data:/data
|
||||
fastgpt-minio:
|
||||
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/minio:RELEASE.2025-09-07T16-13-09Z
|
||||
container_name: fastgpt-minio
|
||||
restart: always
|
||||
ports:
|
||||
- 9000:9000
|
||||
- 9001:9001
|
||||
networks:
|
||||
- fastgpt
|
||||
environment:
|
||||
- MINIO_ROOT_USER=minioadmin
|
||||
- MINIO_ROOT_PASSWORD=minioadmin
|
||||
volumes:
|
||||
- ./fastgpt-minio:/data
|
||||
command: server /data --console-address ":9001"
|
||||
healthcheck:
|
||||
test: ['CMD', 'curl', '-f', 'http://localhost:9000/minio/health/live']
|
||||
interval: 30s
|
||||
timeout: 20s
|
||||
retries: 3
|
||||
|
||||
fastgpt:
|
||||
container_name: fastgpt
|
||||
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.14.9.3 # git
|
||||
ports:
|
||||
- 3000:3000
|
||||
networks:
|
||||
- fastgpt
|
||||
depends_on:
|
||||
- mongo
|
||||
- code-sandbox
|
||||
- vectorDB
|
||||
restart: always
|
||||
environment:
|
||||
<<: [*x-share-db-config, *x-vec-config, *x-log-config]
|
||||
# ==================== 基础配置 ====================
|
||||
# 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。
|
||||
FE_DOMAIN: http://localhost:3000
|
||||
# root key（最高权限）
|
||||
ROOT_KEY: *x-system-key
|
||||
# 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。
|
||||
DEFAULT_ROOT_PSW: *x-default-root-psw
|
||||
# 数据库最大连接数
|
||||
DB_MAX_LINK: 5
|
||||
# 自动同步索引（0 表示不同步）
|
||||
SYNC_INDEX: 1
|
||||
TOKEN_KEY: fastgpt
|
||||
# 文件阅读时的密钥
|
||||
FILE_TOKEN_KEY: filetokenkey
|
||||
# 密钥加密 key
|
||||
AES256_SECRET_KEY: fastgptsecret
|
||||
# 强制将图片转成 base64 传递给模型
|
||||
MULTIPLE_DATA_TO_BASE64: true
|
||||
|
||||
# ==================== 服务地址与集成 ====================
|
||||
# plugin 地址
|
||||
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
|
||||
PLUGIN_TOKEN: *x-plugin-auth-token
|
||||
# code-sandbox 地址
|
||||
SANDBOX_URL: http://code-sandbox:3000
|
||||
SANDBOX_TOKEN: *x-code-sandbox-token
|
||||
# AI Proxy 的地址，如果配了该地址，优先使用
|
||||
AIPROXY_API_ENDPOINT: http://aiproxy:3000
|
||||
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
|
||||
AIPROXY_API_TOKEN: *x-aiproxy-token
|
||||
|
||||
# ==================== 日志与监控 ====================
|
||||
# 传递给 OTLP 收集器的服务名称
|
||||
LOG_OTEL_SERVICE_NAME: fastgpt-client
|
||||
|
||||
# ==================== 安全与运行限制 ====================
|
||||
# 启动 IP 限流（true）；部分接口启用 IP 限流策略以防止异常请求
|
||||
USE_IP_LIMIT: false
|
||||
# 工作流最大运行次数，避免极端死循环
|
||||
WORKFLOW_MAX_RUN_TIMES: 1000
|
||||
# 循环最大运行次数，避免极端死循环
|
||||
WORKFLOW_MAX_LOOP_TIMES: 100
|
||||
# 服务器接收请求的最大大小（MB）
|
||||
SERVICE_REQUEST_MAX_CONTENT_LENGTH: 10
|
||||
# 启用内网 IP 检查
|
||||
CHECK_INTERNAL_IP: false
|
||||
# ==================== 上传与账号策略 ====================
|
||||
# 最大上传文件大小（MB）
|
||||
UPLOAD_FILE_MAX_SIZE: 1000
|
||||
# 最大上传文件数量
|
||||
UPLOAD_FILE_MAX_AMOUNT: 1000
|
||||
# LLM 请求追踪保留时长（小时）
|
||||
LLM_REQUEST_TRACKING_RETENTION_HOURS: 6
|
||||
# ==================== 功能开关与特殊配置 ====================
|
||||
# 自定义跨域；不配置时默认允许所有跨域（逗号分割）
|
||||
ALLOWED_ORIGINS:
|
||||
# HTML 转 Markdown 最大字符数（超过后不执行转换）
|
||||
MAX_HTML_TRANSFORM_CHARS: 1000000
|
||||
volumes:
|
||||
- ./config.json:/app/data/config.json
|
||||
code-sandbox:
|
||||
container_name: code-sandbox
|
||||
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:v4.14.9.3
|
||||
networks:
|
||||
- fastgpt
|
||||
restart: always
|
||||
environment:
|
||||
<<: [*x-log-config]
|
||||
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
|
||||
SANDBOX_TOKEN: *x-code-sandbox-token
|
||||
# ===== Resource Limits =====
|
||||
# Execution timeout per request (ms)
|
||||
SANDBOX_MAX_TIMEOUT: 60000
|
||||
# Maximum allowed memory per user code execution (MB)
|
||||
# Note: System automatically adds 50MB for runtime overhead
|
||||
# Actual process limit = SANDBOX_MAX_MEMORY_MB + 50MB
|
||||
SANDBOX_MAX_MEMORY_MB: 256
|
||||
|
||||
# ===== Process Pool =====
|
||||
# Number of pre-warmed worker processes (JS + Python)
|
||||
SANDBOX_POOL_SIZE: 20
|
||||
|
||||
# ===== Network Request Limits =====
|
||||
# Whether to check if the request is to a private network
|
||||
CHECK_INTERNAL_IP: false
|
||||
# Maximum number of HTTP requests per execution
|
||||
SANDBOX_REQUEST_MAX_COUNT: 30
|
||||
# Timeout for each outbound HTTP request (ms)
|
||||
SANDBOX_REQUEST_TIMEOUT: 60000
|
||||
# Maximum response body size for outbound requests
|
||||
SANDBOX_REQUEST_MAX_RESPONSE_MB: 10
|
||||
# Maximum request body size for outbound requests (MB)
|
||||
SANDBOX_REQUEST_MAX_BODY_MB: 5
|
||||
|
||||
# ===== Module Control =====
|
||||
# JS allowed modules whitelist (comma-separated)
|
||||
SANDBOX_JS_ALLOWED_MODULES: lodash,dayjs,moment,uuid,crypto-js,qs,url,querystring
|
||||
# Python allowed modules whitelist (comma-separated)
|
||||
SANDBOX_PYTHON_ALLOWED_MODULES: math,cmath,decimal,fractions,random,statistics,collections,array,heapq,bisect,queue,copy,itertools,functools,operator,string,re,difflib,textwrap,unicodedata,codecs,datetime,time,calendar,_strptime,json,csv,base64,binascii,struct,hashlib,hmac,secrets,uuid,typing,abc,enum,dataclasses,contextlib,pprint,weakref,numpy,pandas,matplotlib
|
||||
|
||||
healthcheck:
|
||||
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
|
||||
interval: 30s
|
||||
timeout: 20s
|
||||
retries: 3
|
||||
fastgpt-mcp-server:
|
||||
container_name: fastgpt-mcp-server
|
||||
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-mcp_server:v4.14.9
|
||||
networks:
|
||||
- fastgpt
|
||||
ports:
|
||||
- 3005:3000
|
||||
restart: always
|
||||
environment:
|
||||
<<: [*x-log-config]
|
||||
FASTGPT_ENDPOINT: http://fastgpt:3000
|
||||
fastgpt-plugin:
|
||||
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-plugin:v0.5.5
|
||||
container_name: fastgpt-plugin
|
||||
restart: always
|
||||
networks:
|
||||
- fastgpt
|
||||
environment:
|
||||
<<: [*x-share-db-config, *x-log-config]
|
||||
AUTH_TOKEN: *x-plugin-auth-token
|
||||
# 工具网络请求，最大请求和响应体
|
||||
SERVICE_REQUEST_MAX_CONTENT_LENGTH: 10
|
||||
# 最大 API 请求体大小
|
||||
MAX_API_SIZE: 10
|
||||
# 传递给 OTLP 收集器的服务名称
|
||||
LOG_OTEL_SERVICE_NAME: fastgpt-plugin
|
||||
depends_on:
|
||||
fastgpt-minio:
|
||||
condition: service_healthy
|
||||
healthcheck:
|
||||
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
|
||||
interval: 30s
|
||||
timeout: 20s
|
||||
retries: 3
|
||||
# AI Proxy
|
||||
aiproxy:
|
||||
image: registry.cn-hangzhou.aliyuncs.com/labring/aiproxy:v0.3.5
|
||||
container_name: aiproxy
|
||||
restart: unless-stopped
|
||||
depends_on:
|
||||
aiproxy_pg:
|
||||
condition: service_healthy
|
||||
networks:
|
||||
- fastgpt
|
||||
- aiproxy
|
||||
environment:
|
||||
# 对应 fastgpt 里的AIPROXY_API_TOKEN
|
||||
ADMIN_KEY: *x-aiproxy-token
|
||||
# 错误日志详情保存时间（小时）
|
||||
LOG_DETAIL_STORAGE_HOURS: 1
|
||||
# 数据库连接地址
|
||||
SQL_DSN: postgres://postgres:aiproxy@aiproxy_pg:5432/aiproxy
|
||||
# 最大重试次数
|
||||
RETRY_TIMES: 3
|
||||
# 不需要计费
|
||||
BILLING_ENABLED: false
|
||||
# 不需要严格检测模型
|
||||
DISABLE_MODEL_CONFIG: true
|
||||
healthcheck:
|
||||
test: ['CMD', 'curl', '-f', 'http://localhost:3000/api/status']
|
||||
interval: 5s
|
||||
timeout: 5s
|
||||
retries: 10
|
||||
aiproxy_pg:
|
||||
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/pgvector:0.8.0-pg15 # docker hub
|
||||
restart: unless-stopped
|
||||
container_name: aiproxy_pg
|
||||
volumes:
|
||||
- ./aiproxy_pg:/var/lib/postgresql/data
|
||||
networks:
|
||||
- aiproxy
|
||||
environment:
|
||||
TZ: Asia/Shanghai
|
||||
POSTGRES_USER: postgres
|
||||
POSTGRES_DB: aiproxy
|
||||
POSTGRES_PASSWORD: aiproxy
|
||||
healthcheck:
|
||||
test: ['CMD', 'pg_isready', '-U', 'postgres', '-d', 'aiproxy']
|
||||
interval: 5s
|
||||
timeout: 5s
|
||||
retries: 10
|
||||
networks:
|
||||
fastgpt:
|
||||
aiproxy:
|
||||
vector:
|
||||
@@ -0,0 +1,355 @@
|
||||
# 用于部署的 docker-compose 文件:
|
||||
# - FastGPT 端口映射为 3000:3000
|
||||
# - FastGPT-mcp-server 端口映射 3005:3000
|
||||
# - 建议修改账密后再运行
|
||||
|
||||
# root 默认密码（重启后会强制重置该密码成环境变量值）
|
||||
x-default-root-psw: &x-default-root-psw '1234'
|
||||
# 系统最高密钥凭证
|
||||
x-system-key: &x-system-key 'fastgpt-xxx'
|
||||
# plugin auth token
|
||||
x-plugin-auth-token: &x-plugin-auth-token 'token'
|
||||
# code sandbox token
|
||||
x-code-sandbox-token: &x-code-sandbox-token 'codesandbox'
|
||||
# aiproxy token
|
||||
x-aiproxy-token: &x-aiproxy-token 'token'
|
||||
# 数据库连接相关配置
|
||||
x-share-db-config: &x-share-db-config
|
||||
MONGODB_URI: mongodb://myusername:mypassword@mongo:27017/fastgpt?authSource=admin
|
||||
DB_MAX_LINK: 100
|
||||
REDIS_URL: redis://default:mypassword@redis:6379
|
||||
# @see https://doc.fastgpt.cn/docs/self-host/config/object-storage
|
||||
STORAGE_VENDOR: minio # minio | aws-s3 | cos | oss
|
||||
STORAGE_REGION: us-east-1
|
||||
STORAGE_ACCESS_KEY_ID: minioadmin
|
||||
STORAGE_SECRET_ACCESS_KEY: minioadmin
|
||||
STORAGE_PUBLIC_BUCKET: fastgpt-public
|
||||
STORAGE_PRIVATE_BUCKET: fastgpt-private
|
||||
STORAGE_EXTERNAL_ENDPOINT: http://192.168.0.2:9000 # 一个服务器和客户端均可访问到存储桶的地址，可以是固定的宿主机 IP 或者域名，注意不要填写成 127.0.0.1 或者 localhost 等本地回环地址(因为容器里无法使用)
|
||||
STORAGE_S3_ENDPOINT: http://fastgpt-minio:9000 # 协议://域名(IP):端口
|
||||
STORAGE_S3_FORCE_PATH_STYLE: true
|
||||
STORAGE_S3_MAX_RETRIES: 3
|
||||
# Log 配置
|
||||
x-log-config: &x-log-config
|
||||
LOG_ENABLE_CONSOLE: true
|
||||
LOG_CONSOLE_LEVEL: debug
|
||||
LOG_ENABLE_OTEL: false
|
||||
LOG_OTEL_LEVEL: info
|
||||
LOG_OTEL_URL: http://localhost:4318/v1/logs
|
||||
|
||||
# 向量库相关配置（openGauss DataVec，使用独立环境变量）
|
||||
x-vec-config: &x-vec-config
|
||||
OPENGAUSS_URL: postgresql://gaussdb:FastGPT@123@opengauss:5432/fastgpt
|
||||
|
||||
version: '3.3'
|
||||
services:
|
||||
# Vector DB - openGauss
|
||||
vectorDB:
|
||||
image: opengauss/opengauss:7.0.0-RC1
|
||||
container_name: opengauss
|
||||
restart: always
|
||||
privileged: true
|
||||
networks:
|
||||
- fastgpt
|
||||
environment:
|
||||
# 这里的配置只有首次运行生效。修改后，重启镜像是不会生效的。需要把持久化数据删除再重启，才有效果
|
||||
- GS_USERNAME=gaussdb # 默认会创建 gaussdb 用户
|
||||
- GS_PASSWORD=FastGPT@123 # 密码必须包含大写、小写、数字和特殊字符，且长度不少于8位
|
||||
- GS_DB=fastgpt # 默认会创建 postgres 数据库，这里以 fastgpt 为例
|
||||
volumes:
|
||||
- ./opengauss/data:/var/lib/opengauss
|
||||
healthcheck:
|
||||
test: ['CMD-SHELL', 'su - omm -c "gsql -d postgres -p 5432 -c \"SELECT 1\""']
|
||||
interval: 10s
|
||||
timeout: 5s
|
||||
retries: 10
|
||||
start_period: 30s
|
||||
mongo:
|
||||
image: mongo:5.0.32 # cpu 不支持 AVX 时候使用 4.4.29
|
||||
container_name: mongo
|
||||
restart: always
|
||||
networks:
|
||||
- fastgpt
|
||||
command: mongod --keyFile /data/mongodb.key --replSet rs0
|
||||
environment:
|
||||
- MONGO_INITDB_ROOT_USERNAME=myusername
|
||||
- MONGO_INITDB_ROOT_PASSWORD=mypassword
|
||||
volumes:
|
||||
- ./mongo/data:/data/db
|
||||
healthcheck:
|
||||
test: ['CMD', 'mongo', '-u', 'myusername', '-p', 'mypassword', '--authenticationDatabase', 'admin', '--eval', "db.adminCommand('ping')"]
|
||||
interval: 10s
|
||||
timeout: 5s
|
||||
retries: 5
|
||||
start_period: 30s
|
||||
entrypoint:
|
||||
- bash
|
||||
- -c
|
||||
- |
|
||||
openssl rand -base64 128 > /data/mongodb.key
|
||||
chmod 400 /data/mongodb.key
|
||||
chown 999:999 /data/mongodb.key
|
||||
echo 'const isInited = rs.status().ok === 1
|
||||
if(!isInited){
|
||||
rs.initiate({
|
||||
_id: "rs0",
|
||||
members: [
|
||||
{ _id: 0, host: "mongo:27017" }
|
||||
]
|
||||
})
|
||||
}' > /data/initReplicaSet.js
|
||||
# 启动MongoDB服务
|
||||
exec docker-entrypoint.sh "$$@" &
|
||||
|
||||
# 等待MongoDB服务启动
|
||||
until mongo -u myusername -p mypassword --authenticationDatabase admin --eval "print('waited for connection')"; do
|
||||
echo "Waiting for MongoDB to start..."
|
||||
sleep 2
|
||||
done
|
||||
|
||||
# 执行初始化副本集的脚本
|
||||
mongo -u myusername -p mypassword --authenticationDatabase admin /data/initReplicaSet.js
|
||||
|
||||
# 等待docker-entrypoint.sh脚本执行的MongoDB服务进程
|
||||
wait $$!
|
||||
redis:
|
||||
image: redis:7.2-alpine
|
||||
container_name: redis
|
||||
networks:
|
||||
- fastgpt
|
||||
restart: always
|
||||
command: |
|
||||
redis-server --requirepass mypassword --loglevel warning --maxclients 10000 --appendonly yes --save 60 10 --maxmemory 4gb --maxmemory-policy noeviction
|
||||
healthcheck:
|
||||
test: ['CMD', 'redis-cli', '-a', 'mypassword', 'ping']
|
||||
interval: 10s
|
||||
timeout: 3s
|
||||
retries: 3
|
||||
start_period: 30s
|
||||
volumes:
|
||||
- ./redis/data:/data
|
||||
fastgpt-minio:
|
||||
image: minio/minio:RELEASE.2025-09-07T16-13-09Z
|
||||
container_name: fastgpt-minio
|
||||
restart: always
|
||||
ports:
|
||||
- 9000:9000
|
||||
- 9001:9001
|
||||
networks:
|
||||
- fastgpt
|
||||
environment:
|
||||
- MINIO_ROOT_USER=minioadmin
|
||||
- MINIO_ROOT_PASSWORD=minioadmin
|
||||
volumes:
|
||||
- ./fastgpt-minio:/data
|
||||
command: server /data --console-address ":9001"
|
||||
healthcheck:
|
||||
test: ['CMD', 'curl', '-f', 'http://localhost:9000/minio/health/live']
|
||||
interval: 30s
|
||||
timeout: 20s
|
||||
retries: 3
|
||||
|
||||
fastgpt:
|
||||
container_name: fastgpt
|
||||
image: ghcr.io/labring/fastgpt:v4.14.9.3 # git
|
||||
ports:
|
||||
- 3000:3000
|
||||
networks:
|
||||
- fastgpt
|
||||
depends_on:
|
||||
- mongo
|
||||
- code-sandbox
|
||||
- vectorDB
|
||||
restart: always
|
||||
environment:
|
||||
<<: [*x-share-db-config, *x-vec-config, *x-log-config]
|
||||
# ==================== 基础配置 ====================
|
||||
# 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。
|
||||
FE_DOMAIN: http://localhost:3000
|
||||
# root key（最高权限）
|
||||
ROOT_KEY: *x-system-key
|
||||
# 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。
|
||||
DEFAULT_ROOT_PSW: *x-default-root-psw
|
||||
# 数据库最大连接数
|
||||
DB_MAX_LINK: 5
|
||||
# 自动同步索引（0 表示不同步）
|
||||
SYNC_INDEX: 1
|
||||
TOKEN_KEY: fastgpt
|
||||
# 文件阅读时的密钥
|
||||
FILE_TOKEN_KEY: filetokenkey
|
||||
# 密钥加密 key
|
||||
AES256_SECRET_KEY: fastgptsecret
|
||||
# 强制将图片转成 base64 传递给模型
|
||||
MULTIPLE_DATA_TO_BASE64: true
|
||||
|
||||
# ==================== 服务地址与集成 ====================
|
||||
# plugin 地址
|
||||
PLUGIN_BASE_URL: http://fastgpt-plugin:3000
|
||||
PLUGIN_TOKEN: *x-plugin-auth-token
|
||||
# code-sandbox 地址
|
||||
SANDBOX_URL: http://code-sandbox:3000
|
||||
SANDBOX_TOKEN: *x-code-sandbox-token
|
||||
# AI Proxy 的地址，如果配了该地址，优先使用
|
||||
AIPROXY_API_ENDPOINT: http://aiproxy:3000
|
||||
# AI Proxy 的 Admin Token，与 AI Proxy 中的环境变量 ADMIN_KEY
|
||||
AIPROXY_API_TOKEN: *x-aiproxy-token
|
||||
|
||||
# ==================== 日志与监控 ====================
|
||||
# 传递给 OTLP 收集器的服务名称
|
||||
LOG_OTEL_SERVICE_NAME: fastgpt-client
|
||||
|
||||
# ==================== 安全与运行限制 ====================
|
||||
# 启动 IP 限流（true）；部分接口启用 IP 限流策略以防止异常请求
|
||||
USE_IP_LIMIT: false
|
||||
# 工作流最大运行次数，避免极端死循环
|
||||
WORKFLOW_MAX_RUN_TIMES: 1000
|
||||
# 循环最大运行次数，避免极端死循环
|
||||
WORKFLOW_MAX_LOOP_TIMES: 100
|
||||
# 服务器接收请求的最大大小（MB）
|
||||
SERVICE_REQUEST_MAX_CONTENT_LENGTH: 10
|
||||
# 启用内网 IP 检查
|
||||
CHECK_INTERNAL_IP: false
|
||||
# ==================== 上传与账号策略 ====================
|
||||
# 最大上传文件大小（MB）
|
||||
UPLOAD_FILE_MAX_SIZE: 1000
|
||||
# 最大上传文件数量
|
||||
UPLOAD_FILE_MAX_AMOUNT: 1000
|
||||
# LLM 请求追踪保留时长（小时）
|
||||
LLM_REQUEST_TRACKING_RETENTION_HOURS: 6
|
||||
# ==================== 功能开关与特殊配置 ====================
|
||||
# 自定义跨域；不配置时默认允许所有跨域（逗号分割）
|
||||
ALLOWED_ORIGINS:
|
||||
# HTML 转 Markdown 最大字符数（超过后不执行转换）
|
||||
MAX_HTML_TRANSFORM_CHARS: 1000000
|
||||
volumes:
|
||||
- ./config.json:/app/data/config.json
|
||||
code-sandbox:
|
||||
container_name: code-sandbox
|
||||
image: ghcr.io/labring/fastgpt-sandbox:v4.14.9.3
|
||||
networks:
|
||||
- fastgpt
|
||||
restart: always
|
||||
environment:
|
||||
<<: [*x-log-config]
|
||||
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
|
||||
SANDBOX_TOKEN: *x-code-sandbox-token
|
||||
# ===== Resource Limits =====
|
||||
# Execution timeout per request (ms)
|
||||
SANDBOX_MAX_TIMEOUT: 60000
|
||||
# Maximum allowed memory per user code execution (MB)
|
||||
# Note: System automatically adds 50MB for runtime overhead
|
||||
# Actual process limit = SANDBOX_MAX_MEMORY_MB + 50MB
|
||||
SANDBOX_MAX_MEMORY_MB: 256
|
||||
|
||||
# ===== Process Pool =====
|
||||
# Number of pre-warmed worker processes (JS + Python)
|
||||
SANDBOX_POOL_SIZE: 20
|
||||
|
||||
# ===== Network Request Limits =====
|
||||
# Whether to check if the request is to a private network
|
||||
CHECK_INTERNAL_IP: false
|
||||
# Maximum number of HTTP requests per execution
|
||||
SANDBOX_REQUEST_MAX_COUNT: 30
|
||||
# Timeout for each outbound HTTP request (ms)
|
||||
SANDBOX_REQUEST_TIMEOUT: 60000
|
||||
# Maximum response body size for outbound requests
|
||||
SANDBOX_REQUEST_MAX_RESPONSE_MB: 10
|
||||
# Maximum request body size for outbound requests (MB)
|
||||
SANDBOX_REQUEST_MAX_BODY_MB: 5
|
||||
|
||||
# ===== Module Control =====
|
||||
# JS allowed modules whitelist (comma-separated)
|
||||
SANDBOX_JS_ALLOWED_MODULES: lodash,dayjs,moment,uuid,crypto-js,qs,url,querystring
|
||||
# Python allowed modules whitelist (comma-separated)
|
||||
SANDBOX_PYTHON_ALLOWED_MODULES: math,cmath,decimal,fractions,random,statistics,collections,array,heapq,bisect,queue,copy,itertools,functools,operator,string,re,difflib,textwrap,unicodedata,codecs,datetime,time,calendar,_strptime,json,csv,base64,binascii,struct,hashlib,hmac,secrets,uuid,typing,abc,enum,dataclasses,contextlib,pprint,weakref,numpy,pandas,matplotlib
|
||||
|
||||
healthcheck:
|
||||
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
|
||||
interval: 30s
|
||||
timeout: 20s
|
||||
retries: 3
|
||||
fastgpt-mcp-server:
|
||||
container_name: fastgpt-mcp-server
|
||||
image: ghcr.io/labring/fastgpt-mcp_server:v4.14.9
|
||||
networks:
|
||||
- fastgpt
|
||||
ports:
|
||||
- 3005:3000
|
||||
restart: always
|
||||
environment:
|
||||
<<: [*x-log-config]
|
||||
FASTGPT_ENDPOINT: http://fastgpt:3000
|
||||
fastgpt-plugin:
|
||||
image: ghcr.io/labring/fastgpt-plugin:v0.5.5
|
||||
container_name: fastgpt-plugin
|
||||
restart: always
|
||||
networks:
|
||||
- fastgpt
|
||||
environment:
|
||||
<<: [*x-share-db-config, *x-log-config]
|
||||
AUTH_TOKEN: *x-plugin-auth-token
|
||||
# 工具网络请求，最大请求和响应体
|
||||
SERVICE_REQUEST_MAX_CONTENT_LENGTH: 10
|
||||
# 最大 API 请求体大小
|
||||
MAX_API_SIZE: 10
|
||||
# 传递给 OTLP 收集器的服务名称
|
||||
LOG_OTEL_SERVICE_NAME: fastgpt-plugin
|
||||
depends_on:
|
||||
fastgpt-minio:
|
||||
condition: service_healthy
|
||||
healthcheck:
|
||||
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
|
||||
interval: 30s
|
||||
timeout: 20s
|
||||
retries: 3
|
||||
# AI Proxy
|
||||
aiproxy:
|
||||
image: ghcr.io/labring/aiproxy:v0.3.5
|
||||
container_name: aiproxy
|
||||
restart: unless-stopped
|
||||
depends_on:
|
||||
aiproxy_pg:
|
||||
condition: service_healthy
|
||||
networks:
|
||||
- fastgpt
|
||||
- aiproxy
|
||||
environment:
|
||||
# 对应 fastgpt 里的AIPROXY_API_TOKEN
|
||||
ADMIN_KEY: *x-aiproxy-token
|
||||
# 错误日志详情保存时间（小时）
|
||||
LOG_DETAIL_STORAGE_HOURS: 1
|
||||
# 数据库连接地址
|
||||
SQL_DSN: postgres://postgres:aiproxy@aiproxy_pg:5432/aiproxy
|
||||
# 最大重试次数
|
||||
RETRY_TIMES: 3
|
||||
# 不需要计费
|
||||
BILLING_ENABLED: false
|
||||
# 不需要严格检测模型
|
||||
DISABLE_MODEL_CONFIG: true
|
||||
healthcheck:
|
||||
test: ['CMD', 'curl', '-f', 'http://localhost:3000/api/status']
|
||||
interval: 5s
|
||||
timeout: 5s
|
||||
retries: 10
|
||||
aiproxy_pg:
|
||||
image: pgvector/pgvector:0.8.0-pg15 # docker hub
|
||||
restart: unless-stopped
|
||||
container_name: aiproxy_pg
|
||||
volumes:
|
||||
- ./aiproxy_pg:/var/lib/postgresql/data
|
||||
networks:
|
||||
- aiproxy
|
||||
environment:
|
||||
TZ: Asia/Shanghai
|
||||
POSTGRES_USER: postgres
|
||||
POSTGRES_DB: aiproxy
|
||||
POSTGRES_PASSWORD: aiproxy
|
||||
healthcheck:
|
||||
test: ['CMD', 'pg_isready', '-U', 'postgres', '-d', 'aiproxy']
|
||||
interval: 5s
|
||||
timeout: 5s
|
||||
retries: 10
|
||||
networks:
|
||||
fastgpt:
|
||||
aiproxy:
|
||||
vector:
|
||||
@@ -2,6 +2,7 @@ export const DatasetVectorDbName = 'fastgpt';
|
||||
export const DatasetVectorTableName = 'modeldata';
|
||||
|
||||
export const PG_ADDRESS = process.env.PG_URL;
|
||||
export const OPENGAUSS_ADDRESS = process.env.OPENGAUSS_URL;
|
||||
export const OCEANBASE_ADDRESS = process.env.OCEANBASE_URL;
|
||||
export const SEEKDB_ADDRESS = process.env.SEEKDB_URL;
|
||||
export const MILVUS_ADDRESS = process.env.MILVUS_ADDRESS;
|
||||
|
||||
@@ -2,10 +2,17 @@
|
||||
import { PgVectorCtrl } from './pg';
|
||||
import { ObVectorCtrl } from './oceanbase';
|
||||
import { SeekVectorCtrl } from './seekdb';
|
||||
import { OpenGaussVectorCtrl } from './opengauss';
|
||||
import { getVectorsByText } from '../../core/ai/embedding';
|
||||
import type { VectorControllerType, InsertVectorControllerPropsType } from './type';
|
||||
import { type EmbeddingModelItemType } from '@fastgpt/global/core/ai/model.schema';
|
||||
import { MILVUS_ADDRESS, PG_ADDRESS, OCEANBASE_ADDRESS, SEEKDB_ADDRESS } from './constants';
|
||||
import {
|
||||
MILVUS_ADDRESS,
|
||||
PG_ADDRESS,
|
||||
OPENGAUSS_ADDRESS,
|
||||
OCEANBASE_ADDRESS,
|
||||
SEEKDB_ADDRESS
|
||||
} from './constants';
|
||||
import { MilvusCtrl } from './milvus';
|
||||
import {
|
||||
setRedisCache,
|
||||
@@ -23,6 +30,7 @@ const getVectorObj = (): VectorControllerType => {
|
||||
if (OCEANBASE_ADDRESS) return new ObVectorCtrl({ type: 'oceanbase' });
|
||||
if (PG_ADDRESS) return new PgVectorCtrl();
|
||||
if (MILVUS_ADDRESS) return new MilvusCtrl();
|
||||
if (OPENGAUSS_ADDRESS) return new OpenGaussVectorCtrl();
|
||||
|
||||
return new PgVectorCtrl();
|
||||
};
|
||||
|
||||
@@ -0,0 +1,201 @@
|
||||
import { delay } from '@fastgpt/global/common/system/utils';
|
||||
import { getLogger, LogCategories } from '../../logger';
|
||||
import { Pool } from 'pg';
|
||||
import type { QueryResultRow } from 'pg';
|
||||
import { OPENGAUSS_ADDRESS } from '../constants';
|
||||
|
||||
const logger = getLogger(LogCategories.INFRA.VECTOR);
|
||||
|
||||
export const connectOg = async (): Promise<Pool> => {
|
||||
if (global.pgClient) {
|
||||
return global.pgClient;
|
||||
}
|
||||
|
||||
const pool = new Pool({
|
||||
connectionString: OPENGAUSS_ADDRESS,
|
||||
max: Number(process.env.DB_MAX_LINK || 30),
|
||||
min: 15,
|
||||
keepAlive: true,
|
||||
idleTimeoutMillis: 1800000,
|
||||
connectionTimeoutMillis: 30000,
|
||||
query_timeout: 60000,
|
||||
statement_timeout: 90000,
|
||||
idle_in_transaction_session_timeout: 60000,
|
||||
allowExitOnIdle: false,
|
||||
application_name: 'fastgpt-vector-db'
|
||||
});
|
||||
global.pgClient = pool;
|
||||
|
||||
global.pgClient.on('error', async (err) => {
|
||||
logger.error('openGauss pool error', { error: err });
|
||||
});
|
||||
global.pgClient.on('connect', async () => {
|
||||
logger.info('openGauss pool connected');
|
||||
});
|
||||
global.pgClient.on('remove', async () => {
|
||||
logger.warn('openGauss connection removed from pool');
|
||||
});
|
||||
|
||||
try {
|
||||
await global.pgClient.connect();
|
||||
return global.pgClient;
|
||||
} catch (error) {
|
||||
logger.error('openGauss connection failed', { error });
|
||||
global.pgClient?.removeAllListeners();
|
||||
global.pgClient?.end();
|
||||
global.pgClient = null;
|
||||
|
||||
await delay(1000);
|
||||
logger.warn('openGauss reconnecting after failure');
|
||||
|
||||
return connectOg();
|
||||
}
|
||||
};
|
||||
|
||||
type WhereProps = (string | [string, string | number])[];
|
||||
type GetProps = {
|
||||
fields?: string[];
|
||||
where?: WhereProps;
|
||||
order?: { field: string; mode: 'DESC' | 'ASC' | string }[];
|
||||
limit?: number;
|
||||
offset?: number;
|
||||
};
|
||||
|
||||
type DeleteProps = {
|
||||
where: WhereProps;
|
||||
};
|
||||
|
||||
type ValuesProps = { key: string; value?: string | number }[];
|
||||
type UpdateProps = {
|
||||
values: ValuesProps;
|
||||
where: WhereProps;
|
||||
};
|
||||
type InsertProps = {
|
||||
values: ValuesProps[];
|
||||
};
|
||||
|
||||
class OgClass {
|
||||
private getWhereStr(where?: WhereProps) {
|
||||
return where
|
||||
? `WHERE ${where
|
||||
.map((item) => {
|
||||
if (typeof item === 'string') {
|
||||
return item;
|
||||
}
|
||||
const val = typeof item[1] === 'number' ? item[1] : `'${String(item[1])}'`;
|
||||
return `${item[0]}=${val}`;
|
||||
})
|
||||
.join(' ')}`
|
||||
: '';
|
||||
}
|
||||
private getUpdateValStr(values: ValuesProps) {
|
||||
return values
|
||||
.map((item) => {
|
||||
const val =
|
||||
typeof item.value === 'number'
|
||||
? item.value
|
||||
: `'${String(item.value).replace(/\'/g, '"')}'`;
|
||||
|
||||
return `${item.key}=${val}`;
|
||||
})
|
||||
.join(',');
|
||||
}
|
||||
private getInsertValStr(values: ValuesProps[]) {
|
||||
return values
|
||||
.map(
|
||||
(items) =>
|
||||
`(${items
|
||||
.map((item) =>
|
||||
typeof item.value === 'number'
|
||||
? item.value
|
||||
: `'${String(item.value).replace(/\'/g, '"')}'`
|
||||
)
|
||||
.join(',')})`
|
||||
)
|
||||
.join(',');
|
||||
}
|
||||
|
||||
async query<T extends QueryResultRow = any>(sql: string) {
|
||||
const og = await connectOg();
|
||||
const start = Date.now();
|
||||
return og.query<T>(sql).then((res) => {
|
||||
const time = Date.now() - start;
|
||||
|
||||
if (time > 1000) {
|
||||
const safeSql = sql.replace(/'\[[^\]]*?\]'/g, "'[x]'");
|
||||
logger.warn('openGauss slow query detected', {
|
||||
level: 'slow-2',
|
||||
durationMs: time,
|
||||
sql: safeSql
|
||||
});
|
||||
} else if (time > 300) {
|
||||
const safeSql = sql.replace(/'\[[^\]]*?\]'/g, "'[x]'");
|
||||
logger.warn('openGauss slow query detected', {
|
||||
level: 'slow-1',
|
||||
durationMs: time,
|
||||
sql: safeSql
|
||||
});
|
||||
}
|
||||
|
||||
return res;
|
||||
});
|
||||
}
|
||||
|
||||
async select<T extends QueryResultRow = any>(table: string, props: GetProps) {
|
||||
const sql = `SELECT ${
|
||||
!props.fields || props.fields?.length === 0 ? '*' : props.fields?.join(',')
|
||||
}
|
||||
FROM ${table}
|
||||
${this.getWhereStr(props.where)}
|
||||
${
|
||||
props.order
|
||||
? `ORDER BY ${props.order.map((item) => `${item.field} ${item.mode}`).join(',')}`
|
||||
: ''
|
||||
}
|
||||
LIMIT ${props.limit || 10} OFFSET ${props.offset || 0}
|
||||
`;
|
||||
|
||||
return this.query<T>(sql);
|
||||
}
|
||||
async count(table: string, props: GetProps) {
|
||||
const sql = `SELECT COUNT(${props?.fields?.[0] || '*'})
|
||||
FROM ${table}
|
||||
${this.getWhereStr(props.where)}
|
||||
`;
|
||||
|
||||
return this.query(sql).then((res) => Number(res.rows[0]?.count || 0));
|
||||
}
|
||||
async delete(table: string, props: DeleteProps) {
|
||||
const sql = `DELETE FROM ${table} ${this.getWhereStr(props.where)}`;
|
||||
return this.query(sql);
|
||||
}
|
||||
async update(table: string, props: UpdateProps) {
|
||||
if (props.values.length === 0) {
|
||||
return {
|
||||
rowCount: 0
|
||||
};
|
||||
}
|
||||
|
||||
const sql = `UPDATE ${table} SET ${this.getUpdateValStr(props.values)} ${this.getWhereStr(
|
||||
props.where
|
||||
)}`;
|
||||
return this.query(sql);
|
||||
}
|
||||
async insert(table: string, props: InsertProps) {
|
||||
if (props.values.length === 0) {
|
||||
return {
|
||||
rowCount: 0,
|
||||
rows: []
|
||||
};
|
||||
}
|
||||
|
||||
const fields = props.values[0].map((item) => item.key).join(',');
|
||||
const sql = `INSERT INTO ${table} (${fields}) VALUES ${this.getInsertValStr(
|
||||
props.values
|
||||
)} RETURNING id`;
|
||||
|
||||
return this.query<{ id: string }>(sql);
|
||||
}
|
||||
}
|
||||
|
||||
export const OgClient = new OgClass();
|
||||
@@ -0,0 +1,208 @@
|
||||
/* openGauss DataVec vector crud */
|
||||
import { DatasetVectorTableName } from '../constants';
|
||||
import { OgClient, connectOg } from './controller';
|
||||
import type { VectorControllerType } from '../type';
|
||||
import dayjs from 'dayjs';
|
||||
import { getLogger, LogCategories } from '../../logger';
|
||||
|
||||
const logger = getLogger(LogCategories.INFRA.VECTOR);
|
||||
|
||||
export class OpenGaussVectorCtrl implements VectorControllerType {
|
||||
constructor() {}
|
||||
init = async () => {
|
||||
try {
|
||||
await connectOg();
|
||||
await OgClient.query(`
|
||||
CREATE TABLE IF NOT EXISTS ${DatasetVectorTableName} (
|
||||
id BIGSERIAL PRIMARY KEY,
|
||||
vector VECTOR(1536) NOT NULL,
|
||||
team_id VARCHAR(50) NOT NULL,
|
||||
dataset_id VARCHAR(50) NOT NULL,
|
||||
collection_id VARCHAR(50) NOT NULL,
|
||||
createtime TIMESTAMP DEFAULT CURRENT_TIMESTAMP
|
||||
);
|
||||
`);
|
||||
|
||||
await OgClient.query(
|
||||
`CREATE INDEX CONCURRENTLY IF NOT EXISTS vector_index ON ${DatasetVectorTableName} USING hnsw (vector vector_ip_ops) WITH (m = 32, ef_construction = 128);`
|
||||
);
|
||||
await OgClient.query(
|
||||
`CREATE INDEX CONCURRENTLY IF NOT EXISTS team_dataset_collection_index ON ${DatasetVectorTableName} USING btree(team_id, dataset_id, collection_id);`
|
||||
);
|
||||
await OgClient.query(
|
||||
`CREATE INDEX CONCURRENTLY IF NOT EXISTS create_time_index ON ${DatasetVectorTableName} USING btree(createtime);`
|
||||
);
|
||||
|
||||
logger.info('openGauss DataVec vector initialization completed');
|
||||
} catch (error) {
|
||||
logger.error('openGauss DataVec vector initialization failed', { error });
|
||||
}
|
||||
};
|
||||
insert: VectorControllerType['insert'] = async (props) => {
|
||||
const { teamId, datasetId, collectionId, vectors } = props;
|
||||
|
||||
const values = vectors.map((vector) => [
|
||||
{ key: 'vector', value: `[${vector}]` },
|
||||
{ key: 'team_id', value: String(teamId) },
|
||||
{ key: 'dataset_id', value: String(datasetId) },
|
||||
{ key: 'collection_id', value: String(collectionId) }
|
||||
]);
|
||||
|
||||
const { rowCount, rows } = await OgClient.insert(DatasetVectorTableName, {
|
||||
values
|
||||
});
|
||||
|
||||
if (rowCount === 0) {
|
||||
return Promise.reject('insertDatasetData: no insert');
|
||||
}
|
||||
|
||||
return {
|
||||
insertIds: rows.map((row) => row.id)
|
||||
};
|
||||
};
|
||||
delete: VectorControllerType['delete'] = async (props) => {
|
||||
const { teamId } = props;
|
||||
|
||||
const teamIdWhere = `team_id='${String(teamId)}' AND`;
|
||||
|
||||
const where = await (() => {
|
||||
if ('id' in props && props.id) return `${teamIdWhere} id=${props.id}`;
|
||||
|
||||
if ('datasetIds' in props && props.datasetIds) {
|
||||
const datasetIdWhere = `dataset_id IN (${props.datasetIds
|
||||
.map((id) => `'${String(id)}'`)
|
||||
.join(',')})`;
|
||||
|
||||
if ('collectionIds' in props && props.collectionIds) {
|
||||
return `${teamIdWhere} ${datasetIdWhere} AND collection_id IN (${props.collectionIds
|
||||
.map((id) => `'${String(id)}'`)
|
||||
.join(',')})`;
|
||||
}
|
||||
|
||||
return `${teamIdWhere} ${datasetIdWhere}`;
|
||||
}
|
||||
|
||||
if ('idList' in props && Array.isArray(props.idList)) {
|
||||
if (props.idList.length === 0) return;
|
||||
return `${teamIdWhere} id IN (${props.idList.map((id) => String(id)).join(',')})`;
|
||||
}
|
||||
return Promise.reject('deleteDatasetData: no where');
|
||||
})();
|
||||
|
||||
if (!where) return;
|
||||
|
||||
await OgClient.delete(DatasetVectorTableName, {
|
||||
where: [where]
|
||||
});
|
||||
};
|
||||
embRecall: VectorControllerType['embRecall'] = async (props) => {
|
||||
const { teamId, datasetIds, vector, limit, forbidCollectionIdList, filterCollectionIdList } =
|
||||
props;
|
||||
|
||||
// Get forbid collection
|
||||
const formatForbidCollectionIdList = (() => {
|
||||
if (!filterCollectionIdList) return forbidCollectionIdList;
|
||||
const list = forbidCollectionIdList
|
||||
.map((id) => String(id))
|
||||
.filter((id) => !filterCollectionIdList.includes(id));
|
||||
return list;
|
||||
})();
|
||||
const forbidCollectionSql =
|
||||
formatForbidCollectionIdList.length > 0
|
||||
? `AND collection_id NOT IN (${formatForbidCollectionIdList.map((id) => `'${id}'`).join(',')})`
|
||||
: '';
|
||||
|
||||
// Filter by collectionId
|
||||
const formatFilterCollectionId = (() => {
|
||||
if (!filterCollectionIdList) return;
|
||||
|
||||
return filterCollectionIdList
|
||||
.map((id) => String(id))
|
||||
.filter((id) => !forbidCollectionIdList.includes(id));
|
||||
})();
|
||||
const filterCollectionIdSql = formatFilterCollectionId
|
||||
? `AND collection_id IN (${formatFilterCollectionId.map((id) => `'${id}'`).join(',')})`
|
||||
: '';
|
||||
// Empty data
|
||||
if (formatFilterCollectionId && formatFilterCollectionId.length === 0) {
|
||||
return { results: [] };
|
||||
}
|
||||
|
||||
const results: any = await OgClient.query(
|
||||
`BEGIN;
|
||||
SET LOCAL hnsw.ef_search = ${global.systemEnv?.hnswEfSearch || 100};
|
||||
SELECT id, collection_id, vector <#> '[${vector}]' AS score
|
||||
FROM ${DatasetVectorTableName}
|
||||
WHERE dataset_id IN (${datasetIds.map((id) => `'${String(id)}'`).join(',')})
|
||||
${filterCollectionIdSql}
|
||||
${forbidCollectionSql}
|
||||
ORDER BY score LIMIT ${limit};
|
||||
COMMIT;`
|
||||
);
|
||||
const rows = results?.[results.length - 2]?.rows as {
|
||||
id: string;
|
||||
collection_id: string;
|
||||
score: number;
|
||||
}[];
|
||||
|
||||
if (!Array.isArray(rows)) {
|
||||
return {
|
||||
results: []
|
||||
};
|
||||
}
|
||||
|
||||
return {
|
||||
results: rows.map((item) => ({
|
||||
id: String(item.id),
|
||||
collectionId: item.collection_id,
|
||||
score: item.score * -1
|
||||
}))
|
||||
};
|
||||
};
|
||||
|
||||
getVectorDataByTime: VectorControllerType['getVectorDataByTime'] = async (start, end) => {
|
||||
const { rows } = await OgClient.query<{
|
||||
id: string;
|
||||
team_id: string;
|
||||
dataset_id: string;
|
||||
}>(`SELECT id, team_id, dataset_id
|
||||
FROM ${DatasetVectorTableName}
|
||||
WHERE createtime BETWEEN '${dayjs(start).format('YYYY-MM-DD HH:mm:ss')}' AND '${dayjs(
|
||||
end
|
||||
).format('YYYY-MM-DD HH:mm:ss')}';
|
||||
`);
|
||||
|
||||
return rows.map((item) => ({
|
||||
id: String(item.id),
|
||||
teamId: item.team_id,
|
||||
datasetId: item.dataset_id
|
||||
}));
|
||||
};
|
||||
getVectorCount: VectorControllerType['getVectorCount'] = async (props) => {
|
||||
const { teamId, datasetId, collectionId } = props;
|
||||
|
||||
// Build where conditions dynamically
|
||||
const whereConditions: any[] = [];
|
||||
|
||||
if (teamId) {
|
||||
whereConditions.push(['team_id', String(teamId)]);
|
||||
}
|
||||
|
||||
if (datasetId) {
|
||||
if (whereConditions.length > 0) whereConditions.push('and');
|
||||
whereConditions.push(['dataset_id', String(datasetId)]);
|
||||
}
|
||||
|
||||
if (collectionId) {
|
||||
if (whereConditions.length > 0) whereConditions.push('and');
|
||||
whereConditions.push(['collection_id', String(collectionId)]);
|
||||
}
|
||||
|
||||
// If no conditions provided, count all
|
||||
const total = await OgClient.count(DatasetVectorTableName, {
|
||||
where: whereConditions.length > 0 ? whereConditions : undefined
|
||||
});
|
||||
|
||||
return total;
|
||||
};
|
||||
}
|
||||
@@ -21,6 +21,7 @@ declare global {
|
||||
// Vector
|
||||
VECTOR_VQ_LEVEL: string;
|
||||
PG_URL: string;
|
||||
OPENGAUSS_URL: string;
|
||||
OCEANBASE_URL: string;
|
||||
SEEKDB_URL: string;
|
||||
MILVUS_ADDRESS: string;
|
||||
|
||||
@@ -108,7 +108,7 @@ MONGODB_URI="mongodb://myusername:mypassword@localhost:27017/fastgpt?authSource=
|
||||
# 日志库
|
||||
MONGODB_LOG_URI="mongodb://myusername:mypassword@localhost:27017/fastgpt?authSource=admin&directConnection=true"
|
||||
|
||||
# 向量库优先级: pg > oceanbase > milvus
|
||||
# 向量库优先级: pg > oceanbase > milvus > opengauss
|
||||
# 向量量化等级: PG 支持 32/16，OceanBase 支持 32/8/1
|
||||
VECTOR_VQ_LEVEL=32
|
||||
|
||||
@@ -119,6 +119,8 @@ PG_URL=postgresql://username:password@localhost:5432/postgres
|
||||
# Milvus 向量库连接参数
|
||||
# MILVUS_ADDRESS=
|
||||
# MILVUS_TOKEN=
|
||||
# openGauss 向量库连接参数
|
||||
# OPENGAUSS_URL=postgresql://gaussdb:FastGPT@123@localhost:5432/fastgpt
|
||||
|
||||
# ==================== 域名与前端 ====================
|
||||
# 页面地址，用于自动补全相对路径资源的 domain（注意结尾不要带 /）
|
||||
|
||||
@@ -7,4 +7,6 @@ PG_URL=postgresql://username:password@localhost:6001/postgres
|
||||
SEEKDB_URL=mysql://root:seekdbpassword@127.0.0.1:6003/mysql
|
||||
# Milvus vector database connection
|
||||
MILVUS_ADDRESS=http://localhost:6002
|
||||
MILVUS_TOKEN=
|
||||
MILVUS_TOKEN=
|
||||
# openGauss vector database connection
|
||||
OPENGAUSS_URL=postgresql://gaussdb:FastGPT@123@localhost:5432/fastgpt
|
||||
@@ -18,6 +18,7 @@ cp test/.env.test.template test/.env.test.local
|
||||
| `PG_URL` | PostgreSQL + pgvector 连接串 | PgVectorCtrl |
|
||||
| `OCEANBASE_URL` | Oceanbase 连接串（后续） | ObVectorCtrl |
|
||||
| `MILVUS_ADDRESS` | Milvus 地址（后续） | MilvusCtrl |
|
||||
| `OPENGAUSS_URL` | openGauss DataVec 连接串 | OpenGaussVectorCtrl |
|
||||
|
||||
未设置对应环境变量时，该驱动的集成测试会**整体跳过**，不会报错。
|
||||
|
||||
|
||||
@@ -0,0 +1,15 @@
|
||||
import { describe, vi } from 'vitest';
|
||||
import { createVectorDBTestSuite } from '../testSuites';
|
||||
|
||||
// Unmock vector controllers for integration tests
|
||||
vi.unmock('@fastgpt/service/common/vectorDB/opengauss');
|
||||
vi.unmock('@fastgpt/service/common/vectorDB/constants');
|
||||
|
||||
import { OpenGaussVectorCtrl } from '@fastgpt/service/common/vectorDB/opengauss';
|
||||
|
||||
const isEnabled = Boolean(process.env.OPENGAUSS_URL);
|
||||
|
||||
describe.skipIf(!isEnabled)('OpenGauss Vector Integration', () => {
|
||||
const vectorCtrl = new OpenGaussVectorCtrl();
|
||||
createVectorDBTestSuite(vectorCtrl);
|
||||
});
|
||||
Reference in New Issue
Block a user