Docker Compose 指令

NOTE: 新版指令改成 docker compose。

NOTE: 服務一旦佈署完成，docker-compose.yml 的路徑如果有變更，就不能繼續使用指令 docker-compose 來管理 container，不過已經啟動的服務運行不會影響，但關閉後就無法再被啟動。

新增與啟動所有應用服務

# For all services
docker-compose up -d

# For specified service
docker-compose up -d <service-name>

Build the image of the service

docker-compose build <service-name>
docker-compose up --rebuild <service-name>

目前的應用服務狀態

docker-compose ps

重啟所有應用服務但不要刪除所屬 container

docker-compose stop
docker-compose start

如果 container 屬性沒有異動，只是所屬的服務需要重啟載入新設定，可以使用這。

停止所有應用服務並刪除所屬 container

# For all services
docker-compose down

# For a specified service
docker-compose stop <service-name>
docker-compose rm -f <service-name>

NOTE:

- 如果有修改 docker-compose.yml，必須使用 down 關閉服務後，用 up -d 重新啟動。

- 停止服務後，重新啟動只能使用 docker-compose up -d

檢視服務啟動失敗的日誌

docker-compose logs

執行某個應用服務的特定程序

docker-compose exec <service-name> sh -c "pwd"

環境變數檔 --env-file

docker compose --env-file .env up -d

docker-compose.yml

environment + healthcheck

services:
  db:
    image: pgvector/pgvector:0.6.2-pg15
    restart: always
    ports:
      - '5432:5432'
    environment:
      POSTGRES_USER: talkdai
      POSTGRES_PASSWORD: talkdai
      POSTGRES_DB: talkdai
    volumes:
       - ./etc/db-extensions.sql:/docker-entrypoint-initdb.d/db-extensions.sql
    healthcheck:
      test: ["CMD", "pg_isready", "-d", "talkdai", "-U", "talkdai"]
      interval: 10s
      timeout: 5s
      retries: 5
  dialog:
    image: ghcr.io/talkdai/dialog:latest
    volumes:
      - ./data/:/app/data/
    ports:
      - '8000:8000'
    depends_on:
      db:
        condition: service_healthy
    environment:
      - PORT=8000
      - DATABASE_URL=postgresql://talkdai:talkdai@db:5432/talkdai
      - OPENAI_API_KEY=sk-your-openai-api-key
      - STATIC_FILE_LOCATION=/app/static
      - DIALOG_DATA_PATH=../data/your.csv
      - PROJECT_CONFIG=../data/your.toml

healthcheck(web) + build + networks

networks:
  net:
    driver: bridge

services:
  server:
    image: server
    build:
      context: .
      dockerfile: Dockerfile
    volumes:
      # Be aware that indexed data are located in "/chroma/chroma/"
      # Default configuration for persist_directory in chromadb/config.py
      # Read more about deployments: https://docs.trychroma.com/deployment
      - chroma-data:/chroma/chroma
    command: "--workers 1 --host 0.0.0.0 --port 8000 --proxy-headers --log-config chromadb/log_config.yml --timeout-keep-alive 30"
    environment:
      - IS_PERSISTENT=TRUE
      - CHROMA_SERVER_AUTHN_PROVIDER=${CHROMA_SERVER_AUTHN_PROVIDER}
      - CHROMA_SERVER_AUTHN_CREDENTIALS_FILE=${CHROMA_SERVER_AUTHN_CREDENTIALS_FILE}
      - CHROMA_SERVER_AUTHN_CREDENTIALS=${CHROMA_SERVER_AUTHN_CREDENTIALS}
      - CHROMA_AUTH_TOKEN_TRANSPORT_HEADER=${CHROMA_AUTH_TOKEN_TRANSPORT_HEADER}
      - PERSIST_DIRECTORY=${PERSIST_DIRECTORY:-/chroma/chroma}
      - CHROMA_OTEL_EXPORTER_ENDPOINT=${CHROMA_OTEL_EXPORTER_ENDPOINT}
      - CHROMA_OTEL_EXPORTER_HEADERS=${CHROMA_OTEL_EXPORTER_HEADERS}
      - CHROMA_OTEL_SERVICE_NAME=${CHROMA_OTEL_SERVICE_NAME}
      - CHROMA_OTEL_GRANULARITY=${CHROMA_OTEL_GRANULARITY}
      - CHROMA_SERVER_NOFILE=${CHROMA_SERVER_NOFILE}
    restart: unless-stopped # possible values are: "no", always", "on-failure", "unless-stopped"
    ports:
      - "8000:8000"
    healthcheck:
      # Adjust below to match your container port
      test: [ "CMD", "curl", "-f", "http://localhost:8000/api/v1/heartbeat" ]
      interval: 30s
      timeout: 10s
      retries: 3
    networks:
      - net

volumes:
  chroma-data:
    driver: local

Docker Compose 指令

docker-compose.yml

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