Metadata-Version: 2.1
Name: pytest-cldf
Version: 0.2.1
Summary: Easy quality control for CLDF datasets using pytest
Home-page: UNKNOWN
License: UNKNOWN
Description: # pytest-cldf
        
        [![PyPI](https://img.shields.io/pypi/v/pytest-cldf.svg)](https://pypi.org/project/pytest-cldf)
        
        
        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:
        ```yaml
        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 test.py
        ```
        
        - add the python file implementing the tests `test.py`:
        ```python
        def test_valid(cldf_dataset, cldf_logger):
            assert cldf_dataset.validate(log=cldf_logger)
        ```
        
        
        ## Extended validation
        
        TODO
        
        
Platform: UNKNOWN
Classifier: Framework :: Pytest
Description-Content-Type: text/markdown
