version: '3.8'

services:
  # Inference Service - Main API
  inference-service:
    build:
      context: .
      dockerfile: docker/Dockerfile.inference
    container_name: turkish-llm-inference
    ports:
      - "8000:8000"
    environment:
      - PYTHONPATH=/app
      - LOG_LEVEL=INFO
      - MODEL_CONFIG_PATH=/app/configs/model_config.json
      - ADAPTERS_PATH=/app/adapters
      - CACHE_DIR=/app/cache
      - CUDA_VISIBLE_DEVICES=0
    volumes:
      - ./configs:/app/configs:ro
      - ./adapters:/app/adapters:ro
      - ./cache:/app/cache
      - ./logs:/app/logs
      - model-cache:/root/.cache/huggingface
    networks:
      - turkish-llm-network
    depends_on:
      - redis
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 60s

  # Voice Orchestrator Service
  voice-service:
    build:
      context: .
      dockerfile: docker/Dockerfile.voice
    container_name: turkish-llm-voice
    ports:
      - "8001:8001"
    environment:
      - PYTHONPATH=/app
      - LOG_LEVEL=INFO
      - INFERENCE_SERVICE_URL=http://inference-service:8000
      - REDIS_URL=redis://redis:6379
    volumes:
      - ./logs:/app/logs
      - ./cache:/app/cache
    networks:
      - turkish-llm-network
    depends_on:
      - inference-service
      - redis
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8001/health"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 30s

  # React Frontend
  frontend:
    build:
      context: ./ui
      dockerfile: ../docker/Dockerfile.ui
    container_name: turkish-llm-frontend
    ports:
      - "3000:3000"
    environment:
      - REACT_APP_API_URL=http://localhost:8000
      - REACT_APP_WS_URL=ws://localhost:8001
      - NODE_ENV=production
    networks:
      - turkish-llm-network
    depends_on:
      - inference-service
      - voice-service
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:3000"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 30s

  # Redis for caching and session management
  redis:
    image: redis:7-alpine
    container_name: turkish-llm-redis
    ports:
      - "6379:6379"
    volumes:
      - redis-data:/data
      - ./docker/redis.conf:/usr/local/etc/redis/redis.conf:ro
    command: redis-server /usr/local/etc/redis/redis.conf
    networks:
      - turkish-llm-network
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 10s
      timeout: 5s
      retries: 3

  # Nginx Reverse Proxy
  nginx:
    image: nginx:alpine
    container_name: turkish-llm-nginx
    ports:
      - "80:80"
      - "443:443"
    volumes:
      - ./docker/nginx.conf:/etc/nginx/nginx.conf:ro
      - ./docker/ssl:/etc/nginx/ssl:ro
      - nginx-logs:/var/log/nginx
    networks:
      - turkish-llm-network
    depends_on:
      - frontend
      - inference-service
      - voice-service
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost/health"]
      interval: 30s
      timeout: 10s
      retries: 3

  # Monitoring with Prometheus
  prometheus:
    image: prom/prometheus:latest
    container_name: turkish-llm-prometheus
    ports:
      - "9090:9090"
    volumes:
      - ./docker/prometheus.yml:/etc/prometheus/prometheus.yml:ro
      - prometheus-data:/prometheus
    command:
      - '--config.file=/etc/prometheus/prometheus.yml'
      - '--storage.tsdb.path=/prometheus'
      - '--web.console.libraries=/etc/prometheus/console_libraries'
      - '--web.console.templates=/etc/prometheus/consoles'
      - '--storage.tsdb.retention.time=200h'
      - '--web.enable-lifecycle'
    networks:
      - turkish-llm-network
    restart: unless-stopped

  # Grafana for visualization
  grafana:
    image: grafana/grafana:latest
    container_name: turkish-llm-grafana
    ports:
      - "3001:3000"
    environment:
      - GF_SECURITY_ADMIN_PASSWORD=admin123
      - GF_USERS_ALLOW_SIGN_UP=false
    volumes:
      - grafana-data:/var/lib/grafana
      - ./docker/grafana/dashboards:/etc/grafana/provisioning/dashboards:ro
      - ./docker/grafana/datasources:/etc/grafana/provisioning/datasources:ro
    networks:
      - turkish-llm-network
    depends_on:
      - prometheus
    restart: unless-stopped

  # PostgreSQL for persistent data
  postgres:
    image: postgres:15-alpine
    container_name: turkish-llm-postgres
    ports:
      - "5432:5432"
    environment:
      - POSTGRES_DB=turkish_llm
      - POSTGRES_USER=turkish_llm_user
      - POSTGRES_PASSWORD=secure_password_123
    volumes:
      - postgres-data:/var/lib/postgresql/data
      - ./docker/init.sql:/docker-entrypoint-initdb.d/init.sql:ro
    networks:
      - turkish-llm-network
    restart: unless-stopped
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U turkish_llm_user -d turkish_llm"]
      interval: 10s
      timeout: 5s
      retries: 3

  # Training Service (optional, for scheduled training)
  training-service:
    build:
      context: .
      dockerfile: docker/Dockerfile.training
    container_name: turkish-llm-training
    environment:
      - PYTHONPATH=/app
      - LOG_LEVEL=INFO
      - CUDA_VISIBLE_DEVICES=0
      - POSTGRES_URL=postgresql://turkish_llm_user:secure_password_123@postgres:5432/turkish_llm
    volumes:
      - ./datasets:/app/datasets
      - ./adapters:/app/adapters
      - ./configs:/app/configs:ro
      - ./logs:/app/logs
      - model-cache:/root/.cache/huggingface
    networks:
      - turkish-llm-network
    depends_on:
      - postgres
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [gpu]
    restart: "no"  # Only run when explicitly started
    profiles:
      - training  # Only start with --profile training

networks:
  turkish-llm-network:
    driver: bridge
    ipam:
      config:
        - subnet: 172.20.0.0/16

volumes:
  model-cache:
    driver: local
  redis-data:
    driver: local
  prometheus-data:
    driver: local
  grafana-data:
    driver: local
  postgres-data:
    driver: local
  nginx-logs:
    driver: local