services:
  studycraft:
    build: .
    ports:
      - "8000:8000"
    env_file:
      - .env
    environment:
      - PYTHONIOENCODING=utf-8
      # For faster HuggingFace model downloads, set HF_TOKEN in .env
      # This reduces rate limiting for RAG embedding downloads
    volumes:
      - ./output:/app/output
      - ./uploads:/app/uploads
      - ./rag_index:/app/rag_index
    healthcheck:
      test:
        [
          "CMD",
          "python",
          "-c",
          "import urllib.request; urllib.request.urlopen('http://localhost:8000/')",
        ]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 30s
    restart: unless-stopped