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/
2019-07-31 16:34:36 +02:00
import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
install_requires = [
'pandas',
'python-stdnum',
'requests',
'requests-cache',
setup.py: Add langid
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'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/
2019-07-31 16:34:36 +02:00
]
setuptools.setup(
name="csv-metadata-quality",
Version 0.3.1
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version="0.3.1",
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.
2019-07-31 16:42:27 +02:00
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/
2019-07-31 16:34:36 +02:00
license="GPLv3",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/alanorth/csv-metadata-quality",
classifiers=[
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
"Operating System :: OS Independent",
"Development Status :: 4 - Beta"
],
packages=['csv_metadata_quality'],
entry_points={
'console_scripts': [
'csv-metadata-quality = csv_metadata_quality.__main__:main'
]
},
install_requires=install_requires
)
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