# Docker Compose configuration for DEPLOYMENT with pre-built images
#
# IMPORTANT: This configuration is designed for deployment scenarios where you have
# already built and pushed your Docker images to a container registry.
#
# Since this is a template project, you'll need to:
# 1. Build your images: docker-compose build
# 2. Tag them appropriately: docker tag <image> <your-registry>/<your-project>:<tag>
# 3. Push to your registry: docker push <your-registry>/<your-project>:<tag>
# 4. Update the image references below to point to your registry
#
# Example registry paths:
# - Docker Hub: username/project-backend:latest
# - GitHub Container Registry: ghcr.io/username/project-backend:latest
# - GitLab Registry: registry.gitlab.com/username/project/backend:latest
# - Private Registry: registry.example.com/project-backend:latest

services:
  db:
    image: pgvector/pgvector:pg17
    volumes:
      - postgres_data:/var/lib/postgresql/data/
    # Note: Port not exposed in production for security
    environment:
      - POSTGRES_USER=${POSTGRES_USER}
      - POSTGRES_PASSWORD=${POSTGRES_PASSWORD}
      - POSTGRES_DB=${POSTGRES_DB}
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER}"]
      interval: 5s
      timeout: 5s
      retries: 5
    networks:
      - app-network
    restart: unless-stopped

  redis:
    image: redis:7-alpine
    volumes:
      - redis_data:/data
    command: redis-server --appendonly yes
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 5s
      timeout: 5s
      retries: 5
    networks:
      - app-network
    restart: unless-stopped

  # ==========================================================================
  # MCP Servers - Model Context Protocol servers for AI agent capabilities
  # ==========================================================================

  mcp-llm-gateway:
    # REPLACE THIS with your actual image from your container registry
    image: YOUR_REGISTRY/YOUR_PROJECT_MCP_LLM_GATEWAY:latest
    env_file:
      - .env
    environment:
      - LLM_GATEWAY_HOST=0.0.0.0
      - LLM_GATEWAY_PORT=8001
      - REDIS_URL=redis://redis:6379/1
      - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
      - OPENAI_API_KEY=${OPENAI_API_KEY}
      - ENVIRONMENT=production
    depends_on:
      redis:
        condition: service_healthy
    healthcheck:
      test: ["CMD", "python", "-c", "import httpx; httpx.get('http://localhost:8001/health').raise_for_status()"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 10s
    networks:
      - app-network
    restart: unless-stopped
    deploy:
      resources:
        limits:
          cpus: '2.0'
          memory: 2G
        reservations:
          cpus: '0.5'
          memory: 512M

  mcp-knowledge-base:
    # REPLACE THIS with your actual image from your container registry
    image: YOUR_REGISTRY/YOUR_PROJECT_MCP_KNOWLEDGE_BASE:latest
    env_file:
      - .env
    environment:
      # KB_ prefix required by pydantic-settings config
      - KB_HOST=0.0.0.0
      - KB_PORT=8002
      - KB_DATABASE_URL=postgresql://${POSTGRES_USER}:${POSTGRES_PASSWORD}@db:5432/${POSTGRES_DB}
      - KB_REDIS_URL=redis://redis:6379/2
      - KB_LLM_GATEWAY_URL=http://mcp-llm-gateway:8001
      - OPENAI_API_KEY=${OPENAI_API_KEY}
      - ENVIRONMENT=production
    depends_on:
      db:
        condition: service_healthy
      redis:
        condition: service_healthy
    healthcheck:
      test: ["CMD", "python", "-c", "import httpx; httpx.get('http://localhost:8002/health').raise_for_status()"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 10s
    networks:
      - app-network
    restart: unless-stopped
    deploy:
      resources:
        limits:
          cpus: '1.0'
          memory: 1G
        reservations:
          cpus: '0.25'
          memory: 256M

  backend:
    # REPLACE THIS with your actual image from your container registry
    # Examples:
    #   image: ghcr.io/your-username/your-project-backend:latest
    #   image: your-registry.com/your-project/backend:v1.0.0
    #   image: username/your-project-backend:latest
    image: YOUR_REGISTRY/YOUR_PROJECT_BACKEND:latest
    env_file:
      - .env
    environment:
      - DATABASE_URL=${DATABASE_URL}
      - SECRET_KEY=${SECRET_KEY}
      - ENVIRONMENT=production
      - DEBUG=false
      - BACKEND_CORS_ORIGINS=${BACKEND_CORS_ORIGINS}
      - REDIS_URL=redis://redis:6379/0
      # MCP Server URLs
      - LLM_GATEWAY_URL=http://mcp-llm-gateway:8001
      - KNOWLEDGE_BASE_URL=http://mcp-knowledge-base:8002
    depends_on:
      db:
        condition: service_healthy
      redis:
        condition: service_healthy
      mcp-llm-gateway:
        condition: service_healthy
      mcp-knowledge-base:
        condition: service_healthy
    networks:
      - app-network
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 40s
    # Uncomment if you need persistent data storage for uploads, etc.
    # volumes:
    #   - ${HOST_DATA_FILES_DIR:-./data}:${DATA_FILES_DIR:-/app/data}

  # Celery workers for background task processing (per ADR-003)
  celery-agent:
    # REPLACE THIS with your backend image
    image: YOUR_REGISTRY/YOUR_PROJECT_BACKEND:latest
    env_file:
      - .env
    environment:
      - DATABASE_URL=${DATABASE_URL}
      - REDIS_URL=redis://redis:6379/0
      - CELERY_QUEUE=agent
      # MCP Server URLs (agents need access to MCP)
      - LLM_GATEWAY_URL=http://mcp-llm-gateway:8001
      - KNOWLEDGE_BASE_URL=http://mcp-knowledge-base:8002
    depends_on:
      db:
        condition: service_healthy
      redis:
        condition: service_healthy
      mcp-llm-gateway:
        condition: service_healthy
      mcp-knowledge-base:
        condition: service_healthy
    networks:
      - app-network
    restart: unless-stopped
    command: ["celery", "-A", "app.celery_app", "worker", "-Q", "agent", "-l", "info", "-c", "4"]
    deploy:
      resources:
        limits:
          cpus: '2.0'
          memory: 4G
        reservations:
          cpus: '0.5'
          memory: 512M

  celery-git:
    # REPLACE THIS with your backend image
    image: YOUR_REGISTRY/YOUR_PROJECT_BACKEND:latest
    env_file:
      - .env
    environment:
      - DATABASE_URL=${DATABASE_URL}
      - REDIS_URL=redis://redis:6379/0
      - CELERY_QUEUE=git
    depends_on:
      db:
        condition: service_healthy
      redis:
        condition: service_healthy
    networks:
      - app-network
    restart: unless-stopped
    command: ["celery", "-A", "app.celery_app", "worker", "-Q", "git", "-l", "info", "-c", "2"]
    deploy:
      resources:
        limits:
          cpus: '1.0'
          memory: 2G
        reservations:
          cpus: '0.25'
          memory: 256M

  celery-sync:
    # REPLACE THIS with your backend image
    image: YOUR_REGISTRY/YOUR_PROJECT_BACKEND:latest
    env_file:
      - .env
    environment:
      - DATABASE_URL=${DATABASE_URL}
      - REDIS_URL=redis://redis:6379/0
      - CELERY_QUEUE=sync
    depends_on:
      db:
        condition: service_healthy
      redis:
        condition: service_healthy
    networks:
      - app-network
    restart: unless-stopped
    command: ["celery", "-A", "app.celery_app", "worker", "-Q", "sync", "-l", "info", "-c", "2"]
    deploy:
      resources:
        limits:
          cpus: '1.0'
          memory: 2G
        reservations:
          cpus: '0.25'
          memory: 256M

  celery-beat:
    # REPLACE THIS with your backend image
    image: YOUR_REGISTRY/YOUR_PROJECT_BACKEND:latest
    env_file:
      - .env
    environment:
      - DATABASE_URL=${DATABASE_URL}
      - REDIS_URL=redis://redis:6379/0
    depends_on:
      db:
        condition: service_healthy
      redis:
        condition: service_healthy
    networks:
      - app-network
    restart: unless-stopped
    command: ["celery", "-A", "app.celery_app", "beat", "-l", "info"]
    deploy:
      resources:
        limits:
          cpus: '0.5'
          memory: 512M
        reservations:
          cpus: '0.1'
          memory: 128M

  frontend:
    # REPLACE THIS with your actual image from your container registry
    # Examples:
    #   image: ghcr.io/your-username/your-project-frontend:latest
    #   image: your-registry.com/your-project/frontend:v1.0.0
    #   image: username/your-project-frontend:latest
    image: YOUR_REGISTRY/YOUR_PROJECT_FRONTEND:latest
    environment:
      - NODE_ENV=production
      - NEXT_PUBLIC_API_URL=${NEXT_PUBLIC_API_URL}
      - NEXT_PUBLIC_API_BASE_URL=http://backend:8000
    depends_on:
      backend:
        condition: service_healthy
    networks:
      - app-network
    restart: unless-stopped

  # Optional: Add a reverse proxy like nginx or traefik here
  # nginx:
  #   image: nginx:alpine
  #   ports:
  #     - "80:80"
  #     - "443:443"
  #   volumes:
  #     - ./nginx.conf:/etc/nginx/nginx.conf:ro
  #     - ./ssl:/etc/nginx/ssl:ro
  #   depends_on:
  #     - frontend
  #     - backend
  #   networks:
  #     - app-network
  #   restart: unless-stopped

volumes:
  postgres_data:
  redis_data:

networks:
  app-network:
    driver: bridge