csv-metadata-quality/csv_metadata_quality/__main__.py

# SPDX-License-Identifier: GPL-3.0-only

from sys import argv

from csv_metadata_quality import app


def main():
    app.run(argv)


if __name__ == "__main__":
    main()
Add SPDX short license identifier to all Python files See: https://spdx.github.io/spdx-spec/appendix-V-using-SPDX-short-identifiers-in-source-files/ 2021-03-19 16:04:13 +02:00			`# SPDX-License-Identifier: GPL-3.0-only`

Add support for command line arguments Currently only supports specifying input and output files with -i and -o. Eventually I'll add more options like dry run, debug, and maybe things like forcing unsafe fixes. 2019-07-28 20:31:57 +03:00			`from sys import argv`
Refactor as package with subpackages This makes it cleaner for introducing checks, fixes, tests, docs, and tests in the future. Currently can be run like this: python -m csv_metadata_quality CSV input and output paths are still hard coded. See: https://dev.to/codemouse92/dead-simple-python-project-structure-and-imports-38c6 2019-07-26 22:11:10 +03:00
Sort imports with isort See: https://sourcery.ai/blog/python-best-practices/ 2019-08-29 01:15:04 +03:00			`from csv_metadata_quality import app`

csv_metadata_quality/__main__.py: Fix spacing Identified by flake8. 2019-08-01 23:28:16 +03:00
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 17:34:36 +03:00			`def main():`
			`app.run(argv)`


Format with black 2019-08-29 01:10:39 +03:00			`if __name__ == "__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/ 2019-07-31 17:34:36 +03:00			`main()`