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Easy quality control for CLDF datasets using pytest

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This pytest plugin can be used to run validation of CLDF datsets via the pytest test runner. In particular, this allows hooking up continuous validation with CI services like travis-ci easily.

Continuous validation via Travis-CI

To make sure a dataset - curated in a git repository on GitHub - is continuously, i.e. after each commit, validated, you have to

  • hook up the repository with Travis-CI
  • add a Travis configuration file .travis.yml with the following content:
language: python
python: "3.6"
cache: pip
before_cache: rm -f $HOME/.cache/pip/log/debug.log
install: pip install pytest-cldf
script: pytest --cldf-metadata=cldf/cldf-metadata.json
  • add the python file implementing the tests
def test_valid(cldf_dataset, cldf_logger):
    assert cldf_dataset.validate(log=cldf_logger)

Extended validation


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