# Environment variables (see .env.example)
x-shared-env: &shared-env
  # All persistent paths live under /data (mounted volume)
  DATA_DIR: /data
  HF_HOME: /data/huggingface
  WHISPER_MODEL: ${WHISPER_MODEL:-tiny}
  DEVICE: ${DEVICE-}
  DIARIZATION_ENABLED: ${DIARIZATION_ENABLED:-true}
  HUGGINGFACE_TOKEN: ${HUGGINGFACE_TOKEN:-}
  LOG_LEVEL: ${LOG_LEVEL:-INFO}
  XDG_CACHE_HOME: /data/huggingface
  HUGGINGFACE_HUB_CACHE: /data/huggingface/hub
  TRANSFORMERS_CACHE: /data/huggingface/transformers
  TORCH_HOME: /data/huggingface/torch
  MPLCONFIGDIR: /data/matplotlib

services:
  frontend:
    build:
      context: ./frontend
      dockerfile: Dockerfile
      args:
        NEXT_PUBLIC_API_URL: ${NEXT_PUBLIC_API_URL:-http://localhost:8000}
    container_name: call-analyzer-frontend
    ports:
      - "3000:3000"
    environment:
      - NODE_ENV=production
    depends_on:
      api:
        condition: service_healthy
    restart: unless-stopped
    networks:
      - call-analyzer-network
    healthcheck:
      test: ["CMD-SHELL", "wget -q -O /dev/null http://localhost:3000 || exit 1"]
      interval: 45s
      timeout: 30s
      retries: 3
      start_period: 30s

  api:
    build:
      context: ./backend
      dockerfile: Dockerfile
    container_name: call-analyzer-api
    ports:
      - "8000:8000"
    environment:
      <<: *shared-env
      PYTHONUNBUFFERED: 1
      ENVIRONMENT: production
      DATA_DIR: /data
      UPLOAD_FOLDER: /data/uploads
      SPEAKER_DATA_DIR: /data/speakers
      # Keep the settings DB on the mounted volume
      DATABASE_URL: sqlite:////data/call_analyzer.db
      # Allow model downloads on first run (cached in the volume)
      TRANSFORMERS_OFFLINE: 0
      HF_DATASETS_OFFLINE: 0
      AUTO_REBUILD_INDEX: ${AUTO_REBUILD_INDEX:-false}
    restart: unless-stopped
    volumes:
      # Single mount: all paths below live under /data (see DATA_DIR)
      - call_analyzer_data:/data
    healthcheck:
      test: ["CMD", "wget", "--no-verbose", "--tries=1", "--method=GET", "--output-document=-", "http://localhost:8000/health"]
      interval: 45s
      timeout: 30s
      retries: 3
      start_period: 900s
    networks:
      - call-analyzer-network
    # GPU support: uncomment if you have an NVIDIA GPU and nvidia-container-runtime installed
    # deploy:
    #   resources:
    #     reservations:
    #       devices:
    #         - driver: nvidia
    #           count: 1
    #           capabilities: [gpu]

volumes:
  # Application data (uploads, indices, model cache, etc.)
  call_analyzer_data:
    driver: local

networks:
  call-analyzer-network:
    driver: bridge