docker-compose.dev.yml

version: '3.8'

services:
  # Development environment with hot reload
  trading-dev:
    build: .
    container_name: trading-dev
    ports:
      - "8888:8888"  # Jupyter Lab
      - "8000:8000"  # Trading system
      - "6006:6006"  # TensorBoard
    volumes:
      - .:/app
      - ./data:/app/data
      - ./logs:/app/logs
      - ./models:/app/models
      - ./config.yaml:/app/config.yaml:ro
    environment:
      - PYTHONPATH=/app
      - LOG_LEVEL=DEBUG
      - PYTHONDONTWRITEBYTECODE=1
    command: ["jupyter", "lab", "--ip=0.0.0.0", "--port=8888", "--no-browser", "--allow-root", "--NotebookApp.token=''"]
    restart: unless-stopped
    stdin_open: true
    tty: true

  # FinRL training with TensorBoard
  finrl-training-dev:
    build: .
    container_name: finrl-training-dev
    ports:
      - "6006:6006"  # TensorBoard
    volumes:
      - .:/app
      - ./data:/app/data
      - ./logs:/app/logs
      - ./models:/app/models
      - ./config.yaml:/app/config.yaml:ro
    environment:
      - PYTHONPATH=/app
      - LOG_LEVEL=DEBUG
    command: ["python", "finrl_demo.py"]
    restart: "no"

  # Testing service
  testing:
    build: .
    container_name: trading-testing
    volumes:
      - .:/app
      - ./data:/app/data
      - ./logs:/app/logs
    environment:
      - PYTHONPATH=/app
      - LOG_LEVEL=DEBUG
    command: ["pytest", "-v", "--cov=agentic_ai_system", "--cov-report=html"]
    restart: "no"

  # Linting and code quality
  linting:
    build: .
    container_name: trading-lint
    volumes:
      - .:/app
    environment:
      - PYTHONPATH=/app
    command: ["sh", "-c", "pip install flake8 black isort mypy && flake8 agentic_ai_system && black --check agentic_ai_system && isort --check-only agentic_ai_system"]
    restart: "no"

volumes:
  data:
  logs:
  models: