version: '3.8'

services:
  # Redis - Message broker for Celery
  redis:
    image: redis:7-alpine
    ports:
      - "6379:6379"
    volumes:
      - redis_data:/data
    command: redis-server --appendonly yes
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 10s
      timeout: 5s
      retries: 5

  # FastAPI Application
  web:
    build:
      context: .
      dockerfile: Dockerfile.celery
    ports:
      - "8080:8080"
    environment:
      - REDIS_URL=redis://redis:6379/0
      - KUBECONFIG=/tmp/kubeconfig
    volumes:
      - ./kubeconfig:/tmp/kubeconfig:ro
    depends_on:
      redis:
        condition: service_healthy
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8080/health"]
      interval: 30s
      timeout: 10s
      retries: 3

  # Celery Worker
  worker:
    build:
      context: .
      dockerfile: Dockerfile.celery
    command: python app/workers/celery_worker.py
    environment:
      - REDIS_URL=redis://redis:6379/0
      - KUBECONFIG=/tmp/kubeconfig
    volumes:
      - ./kubeconfig:/tmp/kubeconfig:ro
    depends_on:
      redis:
        condition: service_healthy
    deploy:
      replicas: 2

  # Celery Beat Scheduler
  beat:
    build:
      context: .
      dockerfile: Dockerfile.celery
    command: python app/workers/celery_beat.py
    environment:
      - REDIS_URL=redis://redis:6379/0
      - KUBECONFIG=/tmp/kubeconfig
    volumes:
      - ./kubeconfig:/tmp/kubeconfig:ro
    depends_on:
      redis:
        condition: service_healthy

  # Flower - Celery Monitoring
  flower:
    build:
      context: .
      dockerfile: Dockerfile.celery
    command: celery -A app.celery_app flower --port=5555
    ports:
      - "5555:5555"
    environment:
      - REDIS_URL=redis://redis:6379/0
    depends_on:
      redis:
        condition: service_healthy

volumes:
  redis_data: