mirror of
https://github.com/ilri/csv-metadata-quality.git
synced 2024-11-17 11:37:03 +01:00
Alan Orth
9100efdf50
Add a setup.py so that installation is easier and a standalone CLI
script called csv-metadata-quality is provided. Now the user only
needs to run this from a virtual environment inside the project
directory:
$ pip install .
Eventually I could publish this on PyPi when I settle on a more
appropriate package name.
See: https://packaging.python.org/tutorials/packaging-projects/
See: https://chriswarrick.com/blog/2014/09/15/python-apps-the-right-way-entry_points-and-scripts/
39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
import setuptools
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with open("README.md", "r") as fh:
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long_description = fh.read()
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install_requires = [
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'pandas',
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'python-stdnum',
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'requests',
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'requests-cache',
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'pycountry'
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]
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setuptools.setup(
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name="csv-metadata-quality",
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version="0.0.1",
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author="Alan Orth",
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author_email="aorth@mjanja.ch",
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description="A simple, but opinionated CSV quality checking and fixing pipeline.",
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license="GPLv3",
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long_description=long_description,
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long_description_content_type="text/markdown",
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url="https://github.com/alanorth/csv-metadata-quality",
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classifiers=[
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"Programming Language :: Python :: 3.6",
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"Programming Language :: Python :: 3.7",
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"License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
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"Operating System :: OS Independent",
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"Development Status :: 4 - Beta"
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],
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packages=['csv_metadata_quality'],
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entry_points={
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'console_scripts': [
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'csv-metadata-quality = csv_metadata_quality.__main__:main'
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]
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},
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install_requires=install_requires
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)
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