Alan Orth
bf876a046a
AGROVOC validation is now disabled by default, but can be enabled on a field-by-field basis. For example, countries and regions are also present in AGROVOC. Fields with these values can be enabled using the new `--agrovoc-fields` option. I reworked the script output to show the field name when printing an invalid term so that the user knows in which field the term is. |
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csv_metadata_quality | ||
data | ||
tests | ||
.build.yml | ||
.flake8 | ||
.gitignore | ||
.travis.yml | ||
LICENSE.txt | ||
Pipfile | ||
Pipfile.lock | ||
pytest.ini | ||
README.md | ||
requirements-dev.txt | ||
requirements.txt | ||
setup.py |
CSV Metadata Quality
A simple, but opinionated metadata quality checker and fixer designed to work with CSVs in the DSpace ecosystem. 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, etc.
Requires Python 3.6 or greater. CSV and Excel support comes from the Pandas library, though your mileage may vary with Excel because this is much less tested.
Functionality
- Validate dates, ISSNs, ISBNs, and multi-value separators ("||")
- Validate languages against ISO 639-2 and ISO 639-3
- Validate subjects against the AGROVOC REST API
- Fix leading, trailing, and excessive (ie, more than one) whitespace
- Fix invalid multi-value separators (
|
) using--unsafe-fixes
- Fix problematic newlines (line feeds) using
--unsafe-fixes
- Remove unnecessary Unicode like non-breaking spaces, replacement characters, etc
- Check for "suspicious" characters that indicate encoding or copy/paste issues, for example "foreˆt" should be "forêt"
- Remove duplicate metadata values
Installation
The easiest way to install CSV Metadata Quality is with pipenv:
$ git clone https://git.sr.ht/~alanorth/csv-metadata-quality
$ cd csv-metadata-quality
$ pipenv install
$ pipenv shell
$ pip install .
Otherwise, if you don't have pipenv, you can use a vanilla Python virtual environment:
$ git clone https://git.sr.ht/~alanorth/csv-metadata-quality
$ cd csv-metadata-quality
$ python3 -m venv venv
$ source venv/bin/activate
$ pip install -r requirements.txt
$ pip install .
Usage
Run CSV Metadata Quality with the --help
flag to see available options:
$ csv-metadata-quality --help
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:
$ csv-metadata-quality -i data/test.csv -o /tmp/test.csv
Unsafe Fixes
You can enable several "unsafe" fixes with the --unsafe-fixes
option. Currently this will attempt to fix invalid multi-value separators and remove newlines.
Invalid Multi-Value Separators
This is considered "unsafe" because it is theoretically possible for a single |
character to be used legitimately in a metadata value, though in my experience it is always a typo. For example, if a user mistakenly writes Kenya|Tanzania
when attempting to indicate two countries, the result will be one metadata value with the literal text Kenya|Tanzania
. The --unsafe-fixes
option will correct the invalid multi-value separator so that there are two metadata values, ie Kenya||Tanzania
.
Newlines
This is considered "unsafe" because some systems give special importance to vertical space and render it properly. DSpace does not support rendering newlines in its XMLUI and has, at times, suffered from parsing errors that cause the import process to fail if an input file had newlines. The --unsafe-fixes
option strips Unix line feeds (U+000A).
Todo
- Reporting / summary
- Better logging, for example with INFO, WARN, and ERR levels
- Verbose, debug, or quiet options
License
This work is licensed under the GPLv3.
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.