data-forge/docker-compose.yml at main · doochman/data-forge · GitHub

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name: ingestion-bridge
services:
  # Conditionally deploy Mage service
  mage:
    build: ./mage
    ports:
      - "6789:6789"
    volumes:
      - ./mage:/home/src
    networks:
      - backend
    restart: unless-stopped
    deploy:
      mode: ${ENABLE_MAGE:-false}

  # Conditionally deploy Flink service
  flink-jobmanager:
    build: ./flink
    command: jobmanager
    ports:
      - "8081:8081"
    networks:
      - backend
    restart: unless-stopped
    deploy:
      mode: ${ENABLE_FLINK:-false}

  flink-taskmanager:
    build: ./flink
    command: taskmanager
    depends_on:
      - flink-jobmanager
    networks:
      - backend
    restart: unless-stopped
    deploy:
      mode: ${ENABLE_FLINK:-false}

  # Kafka and Zookeeper services
  kafka:
    image: confluentinc/cp-kafka:7.5.0
    depends_on:
      - zookeeper
    ports:
      - "9092:9092"
    environment:
      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:9092
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
    networks:
      - backend
    restart: unless-stopped
    deploy:
      mode: ${ENABLE_KAFKA:-false}

  zookeeper:
    image: confluentinc/cp-zookeeper:7.5.0
    ports:
      - "2181:2181"
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_TICK_TIME: 2000
    networks:
      - backend
    restart: unless-stopped
    deploy:
      mode: ${ENABLE_ZOOKEEPER:-false}

  # Jenkins
  jenkins:
    build: ./jenkins
    ports:
      - "8080:8080"
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
    networks:
      - backend
    restart: unless-stopped
    deploy:
      mode: ${ENABLE_JENKINS:-false}

  # Airflow Webserver
  airflow:
    build: ./airflow
    depends_on:
      postgres:
        condition: service_healthy
      kafka:
        condition: service_started
      flink-jobmanager:
        condition: service_started
    environment:
      - AIRFLOW__CORE__EXECUTOR=LocalExecutor
      - AIRFLOW__CORE__SQL_ALCHEMY_CONN=postgresql+psycopg2://airflow:airflow@postgres/airflow
    ports:
      - "8089:8080"
    volumes:
      - ./airflow/dags:/opt/airflow/dags
      - ./airflow/logs:/opt/airflow/logs
      - ./airflow/plugins:/opt/airflow/plugins
      - ./pipelines:/opt/airflow/pipelines  # Mount the pipeline config and producer code
      - ./airflow/data:/opt/airflow/data    # Optional: to persist generated data
    command: webserver
    networks:
      - backend
    restart: always

  airflow_scheduler:
    build: ./airflow
    depends_on:
      postgres:
        condition: service_healthy
    environment:
      - AIRFLOW__CORE__EXECUTOR=LocalExecutor
      - AIRFLOW__CORE__SQL_ALCHEMY_CONN=postgresql+psycopg2://airflow:airflow@postgres/airflow
    volumes:
      - ./airflow/dags:/opt/airflow/dags
      - ./airflow/logs:/opt/airflow/logs
      - ./airflow/plugins:/opt/airflow/plugins
    command: scheduler
    networks:
      - backend
    restart: always

  # Postgres service for Airflow
  postgres:
    image: postgres:13
    container_name: postgres
    environment:
      POSTGRES_USER: airflow
      POSTGRES_PASSWORD: airflow
      POSTGRES_DB: airflow
    ports:
      - "5432:5432"
    volumes:
      - postgres_data:/var/lib/postgresql/data
    networks:
      - backend
    healthcheck:
      test: ["CMD", "pg_isready", "-U", "airflow"]
      interval: 10s
      retries: 5
    restart: unless-stopped
    deploy:
      mode: ${ENABLE_POSTGRES:-true}  # Ensure you can control this service too

  # Static Website and API
  dashboard:
    build: ./launchpad
    ports:
      - "5000:5000"
    networks:
      - backend
    restart: unless-stopped
    volumes:
      - ./launchpad:/app

networks:
  backend:
    driver: bridge

# Named volumes for persistent data
volumes:
  postgres_data: