video-processor/docker-compose.yml

# Docker Compose setup for Video Processor with Procrastinate
# Complete development and testing environment

version: '3.8'

services:
  # PostgreSQL database for Procrastinate
  postgres:
    image: postgres:15-alpine
    environment:
      POSTGRES_DB: video_processor
      POSTGRES_USER: video_user
      POSTGRES_PASSWORD: video_password
      POSTGRES_HOST_AUTH_METHOD: trust
    volumes:
      - postgres_data:/var/lib/postgresql/data
      - ./docker/init-db.sql:/docker-entrypoint-initdb.d/init-db.sql
    ports:
      - "5432:5432"
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U video_user -d video_processor"]
      interval: 10s
      timeout: 5s
      retries: 5
    networks:
      - video_net

  # Redis for additional caching (optional)
  redis:
    image: redis:7-alpine
    ports:
      - "6379:6379"
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 10s
      timeout: 5s
      retries: 5
    networks:
      - video_net

  # Video Processor API service
  app:
    build:
      context: .
      dockerfile: Dockerfile
      target: development
    environment:
      - DATABASE_URL=postgresql://video_user:video_password@postgres:5432/video_processor
      - PROCRASTINATE_DATABASE_URL=postgresql://video_user:video_password@postgres:5432/video_processor
      - REDIS_URL=redis://redis:6379/0
      - PYTHONPATH=/app
    volumes:
      - .:/app
      - video_uploads:/app/uploads
      - video_outputs:/app/outputs
    ports:
      - "8000:8000"
    depends_on:
      postgres:
        condition: service_healthy
      redis:
        condition: service_healthy
    networks:
      - video_net
    command: ["python", "examples/docker_demo.py"]

  # Procrastinate worker for background processing
  worker:
    build:
      context: .
      dockerfile: Dockerfile
      target: worker
    environment:
      - PROCRASTINATE_DATABASE_URL=postgresql://video_user:video_password@postgres:5432/video_processor
      - WORKER_CONCURRENCY=4
      - WORKER_TIMEOUT=300
    volumes:
      - video_uploads:/app/uploads
      - video_outputs:/app/outputs
    depends_on:
      postgres:
        condition: service_healthy
    networks:
      - video_net
    command: ["python", "-m", "video_processor.tasks.worker_compatibility", "worker"]

  # Migration service (runs once to setup DB)
  migrate:
    build:
      context: .
      dockerfile: Dockerfile
      target: migration
    environment:
      - PROCRASTINATE_DATABASE_URL=postgresql://video_user:video_password@postgres:5432/video_processor
    depends_on:
      postgres:
        condition: service_healthy
    networks:
      - video_net
    command: ["python", "-c", "
      import asyncio;
      from video_processor.tasks.migration import migrate_database;
      asyncio.run(migrate_database('postgresql://video_user:video_password@postgres:5432/video_processor'))
    "]

  # Test runner service
  test:
    build:
      context: .
      dockerfile: Dockerfile
      target: development
    environment:
      - DATABASE_URL=postgresql://video_user:video_password@postgres:5432/video_processor_test
      - PROCRASTINATE_DATABASE_URL=postgresql://video_user:video_password@postgres:5432/video_processor_test
    volumes:
      - .:/app
    depends_on:
      postgres:
        condition: service_healthy
    networks:
      - video_net
    command: ["uv", "run", "pytest", "tests/", "-v", "--cov=src/", "--cov-report=html", "--cov-report=term"]

  # Demo web interface (optional)
  demo:
    build:
      context: .
      dockerfile: Dockerfile
      target: development
    environment:
      - DATABASE_URL=postgresql://video_user:video_password@postgres:5432/video_processor
      - PROCRASTINATE_DATABASE_URL=postgresql://video_user:video_password@postgres:5432/video_processor
    ports:
      - "8080:8080"
    volumes:
      - .:/app
      - video_uploads:/app/uploads
      - video_outputs:/app/outputs
    depends_on:
      postgres:
        condition: service_healthy
      redis:
        condition: service_healthy
    networks:
      - video_net
    command: ["python", "examples/web_demo.py"]

volumes:
  postgres_data:
    driver: local
  video_uploads:
    driver: local
  video_outputs:
    driver: local

networks:
  video_net:
    driver: bridge