alanorth/csv-metadata-quality
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csv-metadata-quality/setup.py

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Re-work as a proper standalone Python package 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/
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import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
install_requires = [
Run black, isort, and flake8.
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"pandas",
"python-stdnum",
"requests",
"requests-cache",
"pycountry",
"langid",
Re-work as a proper standalone Python package 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/
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]
setuptools.setup(
name="csv-metadata-quality",
Version 0.4.7
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version="0.4.7",
Re-work as a proper standalone Python package 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/
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author="Alan Orth",
author_email="aorth@mjanja.ch",
setup.py: Add "DSpace" to description I suppose someone searching PyPi (eventually) would be happy to see that this was written specifically with DSpace in mind.
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description="A simple, but opinionated CSV quality checking and fixing pipeline for CSVs in the DSpace ecosystem.",
Re-work as a proper standalone Python package 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/
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license="GPLv3",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/alanorth/csv-metadata-quality",
classifiers=[
Support Python 3.6 and 3.7 again
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"Programming Language :: Python :: 3.7",
setup.py: Add Python 3.8 classifier
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"Programming Language :: Python :: 3.8",
setup.py: Add Python 3.9 [SKIP CI]
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"Programming Language :: Python :: 3.9",
Re-work as a proper standalone Python package 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/
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"License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
"Operating System :: OS Independent",
],
Run black, isort, and flake8.
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packages=["csv_metadata_quality"],
Re-work as a proper standalone Python package 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/
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entry_points={
Run black, isort, and flake8.
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"console_scripts": ["csv-metadata-quality = csv_metadata_quality.__main__:main"]
Re-work as a proper standalone Python package 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/
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},
Run black, isort, and flake8.
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install_requires=install_requires,
Re-work as a proper standalone Python package 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/
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)
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