alanorth
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csv-metadata-quality
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Update minimum Python version to 3.9 

Due to importlib.resources.files. It's a very minor thing and there
are ways to use back-ported third-party modules with this function-
ality, but I'm the only one use this so...

See: https://docs.python.org/3/library/importlib.resources.html#importlib.resources.files
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Alan Orth 2022-12-13 10:41:32 +03:00
parent 7cc49b500d
commit 2dfb073b6b
Signed by: alanorth
GPG Key ID: 0FB860CC9C45B1B9
2 changed files with 2 additions and 2 deletions
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2
README.md
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@ -8,7 +8,7 @@
A simple, but opinionated metadata quality checker and fixer designed to work with CSVs in the DSpace ecosystem (though it could theoretically work on any CSV that uses Dublin Core fields as columns). The implementation is essentially a pipeline of checks and fixes that begins with splitting multi-value fields on the standard DSpace "||" separator, trimming leading/trailing whitespace, and then proceeding to more specialized cases like ISSNs, ISBNs, languages, unnecessary Unicode, AGROVOC terms, etc.
Requires Python 3.8 or greater. CSV support comes from the [Pandas](https://pandas.pydata.org/) library.
Requires Python 3.9 or greater. CSV support comes from the [Pandas](https://pandas.pydata.org/) library.
If you use the DSpace CSV metadata quality checker please cite:

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pyproject.toml
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@ -11,7 +11,7 @@ homepage = "https://github.com/ilri/csv-metadata-quality"
csv-metadata-quality = 'csv_metadata_quality.__main__:main'
[tool.poetry.dependencies]
python = "^3.8"
python = "^3.9"
pandas = "^1.5.1"
python-stdnum = "^1.17"
requests = "^2.28.1"