ipfs_kit_py/docker-compose.yml at main · endomorphosis/ipfs_kit_py · GitHub

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# Docker Configuration for GPU and Multi-Architecture Support
# Based on deploy/docker-compose.yaml patterns

version: '3.8'

services:
  ipfs-kit-py:
    build:
      context: .
      dockerfile: Dockerfile
      args:
        PYTHON_VERSION: 3.11
        BUILD_TYPE: production
    image: ipfs-kit-py:latest
    container_name: ipfs-kit-py-main
    restart: unless-stopped
    environment:
      - PYTHONPATH=/app
      - PYTHONUNBUFFERED=1
      - LOG_LEVEL=INFO
    volumes:
      - ./data:/app/data
      - ./logs:/app/logs
      - ./config:/app/config:ro
    ports:
      - "8000:8000"
    networks:
      - ipfs-network
    healthcheck:
      test: ["CMD", "python", "-c", "import ipfs_kit_py; print('OK')"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 40s

  ipfs-kit-py-gpu:
    build:
      context: .
      dockerfile: Dockerfile.gpu
      args:
        CUDA_VERSION: 12.1
        PYTHON_VERSION: 3.11
        BUILD_TYPE: production
    image: ipfs-kit-py:gpu
    container_name: ipfs-kit-py-gpu
    restart: unless-stopped
    environment:
      - PYTHONPATH=/app
      - PYTHONUNBUFFERED=1
      - LOG_LEVEL=INFO
      - CUDA_VISIBLE_DEVICES=all
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=compute,utility
    volumes:
      - ./data:/app/data
      - ./logs:/app/logs
      - ./config:/app/config:ro
      - /tmp/.X11-unix:/tmp/.X11-unix:rw
    ports:
      - "8001:8000"
    networks:
      - ipfs-network
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]
    healthcheck:
      test: ["CMD", "python", "-c", "import torch; assert torch.cuda.is_available(); print('GPU OK')"]
      interval: 30s
      timeout: 15s
      retries: 3
      start_period: 60s

  ipfs-kit-py-dev:
    build:
      context: .
      dockerfile: Dockerfile.dev
      args:
        PYTHON_VERSION: 3.11
    image: ipfs-kit-py:dev
    container_name: ipfs-kit-py-dev
    restart: "no"
    environment:
      - PYTHONPATH=/app
      - PYTHONUNBUFFERED=1
      - LOG_LEVEL=DEBUG
      - DEVELOPMENT=1
    volumes:
      - .:/app
      - ./data:/app/data
      - ./logs:/app/logs
    ports:
      - "8002:8000"
      - "5678:5678"  # debugpy port
    networks:
      - ipfs-network
    command: ["python", "-m", "debugpy", "--listen", "0.0.0.0:5678", "--wait-for-client", "-m", "ipfs_kit_py"]

  # Testing services
  ipfs-kit-py-test:
    build:
      context: .
      dockerfile: Dockerfile.test
      args:
        PYTHON_VERSION: 3.11
    image: ipfs-kit-py:test
    container_name: ipfs-kit-py-test
    environment:
      - PYTHONPATH=/app
      - PYTHONUNBUFFERED=1
      - LOG_LEVEL=DEBUG
    volumes:
      - .:/app
      - ./test-results:/app/test-results
      - ./coverage-reports:/app/coverage-reports
    networks:
      - ipfs-network
    command: ["pytest", "tests/", "--verbose", "--cov=ipfs_kit_py", "--cov-report=html:/app/coverage-reports"]
    profiles:
      - testing

  # Benchmark service
  ipfs-kit-py-benchmark:
    build:
      context: .
      dockerfile: Dockerfile.gpu
      args:
        CUDA_VERSION: 12.1
        PYTHON_VERSION: 3.11
        BUILD_TYPE: benchmark
    image: ipfs-kit-py:benchmark
    container_name: ipfs-kit-py-benchmark
    environment:
      - PYTHONPATH=/app
      - PYTHONUNBUFFERED=1
      - LOG_LEVEL=INFO
      - CUDA_VISIBLE_DEVICES=all
    volumes:
      - ./benchmarks:/app/benchmarks
      - ./benchmark-results:/app/benchmark-results
    networks:
      - ipfs-network
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]
    command: ["python", "-m", "pytest", "tests/benchmarks/", "--benchmark-only", "--benchmark-json=/app/benchmark-results/results.json"]
    profiles:
      - benchmarking

  # Documentation service
  docs:
    build:
      context: .
      dockerfile: Dockerfile.docs
    image: ipfs-kit-py:docs
    container_name: ipfs-kit-py-docs
    ports:
      - "8080:8080"
    volumes:
      - ./docs:/app/docs
      - ./docs-build:/app/docs-build
    networks:
      - ipfs-network
    command: ["mkdocs", "serve", "--dev-addr", "0.0.0.0:8080"]
    profiles:
      - documentation

networks:
  ipfs-network:
    driver: bridge
    ipam:
      config:
        - subnet: 172.20.0.0/16

volumes:
  ipfs-data:
    driver: local
  ipfs-logs:
    driver: local
  test-results:
    driver: local
  coverage-reports:
    driver: local
  benchmark-results:
    driver: local
  docs-build:
    driver: local