AdaptiveTrainingSystem/docker-compose.dev.yml at main · MatN23/AdaptiveTrainingSystem · GitHub

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# Development version - simpler setup for your 3 scripts
version: '3.8'

services:
  # Just your Python AI scripts
  lumina-dev:
    build:
      context: .
      dockerfile: Dockerfile.dev
    container_name: luminaai-dev
    ports:
      - "5001:5001"  # ChatAI.py Flask server
      - "8888:8888"  # Jupyter notebook (optional)
    volumes:
      - .:/workspace  # Mount your entire project
      - ./models:/workspace/models
      - ./data:/workspace/data
    environment:
      - PYTHONPATH=/workspace
      - FLASK_ENV=development
      - FLASK_DEBUG=1
    working_dir: /workspace
    command: python lumina_desktop.py  # Main desktop server
    restart: unless-stopped
    stdin_open: true
    tty: true
    networks:
      - dev-network

  # Optional: Quick database for development
  dev-db:
    image: sqlite3:latest
    container_name: luminaai-dev-db
    volumes:
      - ./dev_data:/data
    networks:
      - dev-network

networks:
  dev-network:
    driver: bridge