version: '3.8'

services:
  tradingagents:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: tradingagents
    ports:
      - "8000:8000"
    env_file:
      - .env
    volumes:
      # Mount data directories for persistence
      - ./data:/app/data
      - ./eval_results:/app/eval_results
      - ./portfolio_data:/app/portfolio_data
      # Mount code for development (optional)
      # - ./tradingagents:/app/tradingagents
    restart: unless-stopped
    networks:
      - tradingagents-network

  # Optional: Jupyter notebook for analysis
  jupyter:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: tradingagents-jupyter
    ports:
      - "8888:8888"
    env_file:
      - .env
    environment:
      # SECURITY: Set JUPYTER_TOKEN in .env file to enable authentication
      # Generate a token: python -c "from jupyter_server.auth import passwd; print(passwd())"
      - JUPYTER_TOKEN=${JUPYTER_TOKEN:-changeme}
    volumes:
      - ./:/app
      - ./notebooks:/app/notebooks
    command: jupyter lab --ip=0.0.0.0 --port=8888 --no-browser --allow-root --ServerApp.token='${JUPYTER_TOKEN:-changeme}'
    restart: unless-stopped
    networks:
      - tradingagents-network
    profiles:
      - jupyter

networks:
  tradingagents-network:
    driver: bridge

volumes:
  data:
  eval_results:
  portfolio_data: