version: '3.8'

services:
  lidar:
    build: .
    container_name: lidar-archeo
    user: "1000:1000"
    volumes:
      # Mount your LAZ files directory here
      - ./input:/data/input:ro
      # Output directory
      - ./output:/data/output
      # Optional: Mount a large data directory
      # - /path/to/your/laz/files:/data/input:ro
    environment:
      - TZ=Europe/Paris
      # Processing parameters
      - RESOLUTION=0.5
      - WHITEBOX_THREADS=4
    # Resource limits (adjust based on your system)
    deploy:
      resources:
        limits:
          cpus: '4'
          memory: 8G
        reservations:
          cpus: '2'
          memory: 4G
    # Override default command
    command: ["process_lidar.py", "/data/input", "-o", "/data/output", "-r", "0.5"]

  # Optional: Jupyter notebook for interactive exploration
  jupyter:
    build: .
    container_name: lidar-jupyter
    ports:
      - "8888:8888"
    volumes:
      - ./input:/data/input
      - ./output:/data/output
      - ./notebooks:/workspace
    command: >
      bash -c "pip install jupyter && \
               jupyter notebook --ip=0.0.0.0 --port=8888 --no-browser --allow-root --NotebookApp.token=''"
    profiles:
      - interactive