{
  "extension": ".py",
  "source": "from setuptools import setup, find_packages\n\nsetup(\n    name='dsmr-parser',\n    description='Library to parse Dutch Smart Meter Requirements (DSMR)',\n    author='Nigel Dokter and many others',\n    author_email='mail@nldr.net',\n    license='MIT',\n    url='https://github.com/ndokter/dsmr_parser',\n    version='1.4.2',\n    packages=find_packages(exclude=('test', 'test.*')),\n    install_requires=[\n        'pyserial>=3,<4',\n        'pyserial-asyncio-fast>=0.11',\n        'pytz',\n        'Tailer==0.4.1',\n        'dlms_cosem==21.3.2'\n    ],\n    entry_points={\n        'console_scripts': ['dsmr_console=dsmr_parser.__main__:console']\n    },\n)\n",
  "review": "# 8\n\n## Bugs\n- No apparent bugs in the setup configuration.\n\n## Optimizations\n- Ensure that the listed dependencies are up to date and compatible with the rest of your project. Dependency constraints like `'pyserial>=3,<4'` can limit updates, missing out on potential bug fixes or improvements present in newer versions.\n- Consider using a `requirements.txt` file for better dependency handling and management or allowing pip to compile accurate dependency trees.\n- Use classifiers in the setup call to provide more metadata about the package (e.g., specifying the Python version compatibility, stable/dev status, etc.).\n\n## Good points\n- Uses `find_packages(exclude=...)`, which is efficient for including all relevant packages without needing to list each explicitly.\n- Clearly defined `entry_points` for console scripts make it easy to use the package's functionalities from the command line.\n- Comprehensive use of semantic versioning for package versioning.\n\n## Summary\nThis setup script is well-structured and adheres to standard practices found in Python packaging using `setuptools`. The use of `find_packages` and entry points are particularly well-done, offering both flexibility and ease of use. There\u2019s room for improvement regarding dependency management and metadata enhancement (such as classifiers for greater clarity).\n\n## Open source alternatives\n- **dsmr-reader**: A popular project for reading and logging data from smart meters which also has parsing capabilities.\n- **home-assistant.io**: Although primarily a home automation platform, it has integrations and parsers for DSMR data.",
  "filename": "setup.py",
  "path": "setup.py",
  "directory": "",
  "grade": 8,
  "size": 639,
  "line_count": 23
}