docker-compose.yml

version: '3.8'

services:
  # Main application
  app:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: whatsapp-channel-app
    restart: unless-stopped
    ports:
      - "3000:3000"
    environment:
      - NODE_ENV=production
      - PORT=3000
      - APP_URL=${APP_URL:-http://localhost:3000}
      - SESSION_SECRET=${SESSION_SECRET}
      - SESSION_TTL_DAYS=30
      - CSRF_SECRET=${CSRF_SECRET}
      - ARGON2_MEMORY=65536
      - ARGON2_ITERATIONS=3
      - ARGON2_PARALLELISM=4
      - GROQ_API_KEY=${GROQ_API_KEY}
      - GROQ_MODELS=${GROQ_MODELS:-llama-3.1-70b-versatile,llama-3.1-8b-instant,gemma2-9b-it}
      - SCRAPER_RATE_LIMIT=10
      - SCRAPER_INTERVAL_MS=6000
      - WHATSAPP_CHANNEL_REGEX=^https://chat\.whatsapp\.com/[A-Za-z0-9]{22}$
      - IPAPI_KEY=${IPAPI_KEY}
      - VPN_DETECTION_ENABLED=true
      - CAPTCHA_PROVIDER=${CAPTCHA_PROVIDER:-hcaptcha}
      - CAPTCHA_SECRET_KEY=${CAPTCHA_SECRET_KEY}
      - CAPTCHA_SITE_KEY=${CAPTCHA_SITE_KEY}
      - LOG_LEVEL=info
      - LOG_DIR=/app/data/logs
      - DATA_DIR=/app/data
    volumes:
      - ./data:/app/data
    networks:
      - whatsapp-network
    depends_on:
      - huggingface
    deploy:
      resources:
        limits:
          cpus: '2'
          memory: 2G
        reservations:
          cpus: '0.5'
          memory: 512M

  # Hugging Face inference service (for local AI models if needed)
  huggingface:
    image: ghcr.io/huggingface/text-generation-inference:latest
    container_name: whatsapp-channel-hf
    restart: unless-stopped
    ports:
      - "7860:80"
    environment:
      - MODEL_ID=${HF_MODEL_ID:-microsoft/DialoGPT-medium}
      - MAX_CONCURRENT_REQUESTS=128
      - MAX_BEST_OF=2
      - MAX_STOP_SEQUENCES=4
      - MAX_INPUT_LENGTH=2048
      - MAX_TOTAL_TOKENS=4096
      - WAITING_SERVED_RATIO=1.2
      - MAX_BATCH_PREFILL_TOKENS=4096
      - MAX_BATCH_TOTAL_TOKENS=8192
    volumes:
      - hf-cache:/data
    networks:
      - whatsapp-network
    deploy:
      resources:
        limits:
          cpus: '4'
          memory: 8G
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]

  # Redis for session storage (optional - currently using file-based)
  # redis:
  #   image: redis:7-alpine
  #   container_name: whatsapp-channel-redis
  #   restart: unless-stopped
  #   ports:
  #     - "6379:6379"
  #   volumes:
  #     - redis-data:/data
  #   networks:
  #     - whatsapp-network
  #   command: redis-server --appendonly yes --maxmemory 256mb --maxmemory-policy allkeys-lru

  # Nginx reverse proxy (optional - for production with SSL)
  # nginx:
  #   image: nginx:alpine
  #   container_name: whatsapp-channel-nginx
  #   restart: unless-stopped
  #   ports:
  #     - "80:80"
  #     - "443:443"
  #   volumes:
  #     - ./nginx.conf:/etc/nginx/nginx.conf:ro
  #     - ./certbot/conf:/etc/letsencrypt:ro
  #     - ./certbot/www:/var/www/certbot:ro
  #   networks:
  #     - whatsapp-network
  #   depends_on:
  #     - app

networks:
  whatsapp-network:
    driver: bridge

volumes:
  hf-cache:
    driver: local
  # redis-data:
  #   driver: local