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mirror of https://github.com/ilri/csv-metadata-quality.git synced 2024-11-04 21:43:00 +01:00
Commit Graph

560 Commits

Author SHA1 Message Date
64e7a73417
README.md: Add information about checks and fixes 2019-07-26 23:20:16 +03:00
dfd961d720
Bring test.csv into project 2019-07-26 23:14:37 +03:00
e160b17fb0
Add ISSN and ISBN checks using python-stdnum 2019-07-26 23:14:10 +03:00
30a4b0005f
csv_metadata_quality/fix.py: Remove test function 2019-07-26 22:56:40 +03:00
b657c51fd2
Add initial README.md with intro, license, and todo 2019-07-26 22:18:38 +03:00
5c6453b397
Add GPLv3 license 2019-07-26 22:16:16 +03:00
232d28e13e
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
ef5b8f7244
fix.py: Massive improvements
Use Python's str.strip() instead of kludgy regular expressions and
use split/join to handle multi-value fields more cleanly.
2019-07-26 19:31:55 +03:00
801870e0ba
Add fix.py
Initial working version of metadata cleaning script that fixes lea-
ding and trailing whitespace (even in DSpace multi-value fields).
2019-07-26 19:08:28 +03:00
21b78b9519
Initial commit
Pipenv environment with Pandas.
2019-07-26 17:54:13 +03:00