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61 lines
3.0 KiB
Markdown
61 lines
3.0 KiB
Markdown
# CSV Metadata Quality [](https://travis-ci.org/alanorth/csv-metadata-quality) [](https://builds.sr.ht/~alanorth/csv-metadata-quality?)
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A simple but opinionated metadata quality checker and fixer designed to work with CSVs in the DSpace ecosystem. Supports multi-value fields using the standard DSpace value separator ("||"). Despite the name it does support reading Excel files.
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Requires Python 3.6 or greater. CSV and Excel support comes from the [Pandas](https://pandas.pydata.org/) library.
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## Functionality
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- Read/write CSV files ✓
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- Read Excel files ✓
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- Validate dates, ISSNs, ISBNs, and multi-value separators ("||") ✓
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- Fix leading, trailing, and excessive whitespace ✓
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- Fix invalid multi-value separators ("|") using `--unsafe-fixes` ✓
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- Remove unnecessary Unicode like [non-breaking spaces](https://en.wikipedia.org/wiki/Non-breaking_space), [replacement characters](https://en.wikipedia.org/wiki/Specials_(Unicode_block)#Replacement_character), etc ✓
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- Check for "suspicious" characters that could indicate encoding or copy/paste issues, for example "foreˆt" should be "forêt" ✓
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## Installation
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The easiest way to install CSV Metadata Quality is with [pipenv](https://github.com/pypa/pipenv):
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```
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$ git clone https://git.sr.ht/~alanorth/csv-metadata-quality
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$ cd csv-metadata-quality
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$ pipenv install
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$ pipenv shell
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```
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Otherwise, if you don't have pipenv, you can use a vanilla Python virtual environment:
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```
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$ git clone https://git.sr.ht/~alanorth/csv-metadata-quality
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$ cd csv-metadata-quality
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$ python3 -m venv venv
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$ source venv/bin/activate
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$ pip install -r requirements.txt
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```
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## Usage
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Run CSV Metadata Quality with the `--help` flag to see available options:
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```
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$ python -m csv_metadata_quality --help
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```
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To validate and clean a CSV file you must specify input and output files using the `-i` and `-o` options. For example, using the included test file:
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```
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$ python -m csv_metadata_quality -i data/test.csv -o /tmp/test.csv
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```
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You can enable "unsafe fixes" with the `--unsafe-fixes` option. This will attempt to fix things like invalid multi-value separators ("|"). It's possible that a metadata value could legitimately use "|" but in my experience this is rather always an error where the user meant to enter multiple values for a field, for example `Kenya||Tanzania`.
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## Todo
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- Reporting / summary
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- Real logging
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- Detect and fix duplicate values like "Alan||Alan"
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## License
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This work is licensed under the [GPLv3](https://www.gnu.org/licenses/gpl-3.0.en.html).
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The license allows you to use and modify the work for personal and commercial purposes, but if you distribute the work you must provide users with a means to access the source code for the version you are distributing. Read more about the [GPLv3 at TL;DR Legal](https://tldrlegal.com/license/gnu-general-public-license-v3-(gpl-3)).
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