Metadata-Version: 2.1
Name: pytest-workflow
Version: 1.2.1
Summary: A pytest plugin for configuring workflow/pipeline tests using YAML files
Home-page: https://github.com/LUMC/pytest-workflow
Author: Leiden University Medical Center
Author-email: sasc@lumc.nl
License: AGPL-3.0-or-later
Description: ===============
        pytest-workflow
        ===============
        
        .. Badges have empty alts. So nothing shows up if they do not work.
        .. This fixes readthedocs issues with badges.
        .. image:: https://img.shields.io/pypi/v/pytest-workflow.svg
          :target: https://pypi.org/project/pytest-workflow/
          :alt:
        
        .. image:: https://img.shields.io/conda/v/conda-forge/pytest-workflow.svg
          :target: https://anaconda.org/conda-forge/pytest-workflow
          :alt:
        
        .. image:: https://img.shields.io/pypi/pyversions/pytest-workflow.svg
          :target: https://pypi.org/project/pytest-workflow/
          :alt:
        
        .. image:: https://img.shields.io/pypi/l/pytest-workflow.svg
          :target: https://github.com/LUMC/pytest-workflow/blob/master/LICENSE
          :alt:
        
        .. image:: https://travis-ci.org/LUMC/pytest-workflow.svg?branch=develop
          :target: https://travis-ci.org/LUMC/pytest-workflow
          :alt:
        
        .. image:: https://codecov.io/gh/LUMC/pytest-workflow/branch/develop/graph/badge.svg
          :target: https://codecov.io/gh/LUMC/pytest-workflow
          :alt:
        
        pytest-workflow is a pytest plugin that aims to make pipeline/workflow testing easy
        by using yaml files for the test configuration.
        
        For our complete documentation checkout our
        `readthedocs page <https://pytest-workflow.readthedocs.io/>`_.
        
        
        Installation
        ============
        Pytest-workflow requires Python 3.5 or higher. It is tested on Python 3.5, 3.6
        and 3.7. Python 2 is not supported.
        
        - Make sure your virtual environment is activated.
        - Install using pip ``pip install pytest-workflow``
        - Create a ``tests`` directory in the root of your repository.
        - Create your test yaml files in the ``tests`` directory.
        
        Pytest-workflow is also available as a `conda package on conda-forge
        <https://anaconda.org/conda-forge/pytest-workflow>`_. Follow
        `these instructions 
        <http://conda-forge.org/docs/user/introduction.html#how-can-i-install-packages-from-conda-forge>`_ 
        to set up channels properly in order to use conda-forge. Alternatively,
        you can `set up the channels correctly for use with bioconda 
        <https://bioconda.github.io/index.html#set-up-channels>`_. After that ``conda
        install pytest-workflow`` can be used to install pytest-workflow. 
        
        Quickstart
        ==========
        
        Run ``pytest`` from an environment with pytest-workflow installed.
        Pytest will automatically gather files in the ``tests`` directory starting with
        ``test`` and ending in ``.yaml`` or ``.yml``.
        
        To check the progress of a workflow while it is running you can use ``tail -f``
        on the ``stdout`` or ``stderr`` file of the workflow. The locations of these
        files are reported in the log as soon as a workflow is started.
        
        For debugging pipelines using the ``--kwd`` or ``--keep-workflow-wd`` flag  is
        recommended. This will keep the workflow directory and logs after the test run
        so it is possible to check where the pipeline crashed. The ``-v`` flag can come
        in handy as well as it gives a complete overview of succeeded and failed tests.
        
        Below is an example of a YAML file that defines a test:
        
        .. code-block:: yaml
        
          - name: Touch a file
            command: touch test.file
            files:
              - path: test.file
        
        This will run ``touch test.file`` and check afterwards if a file with path:
        ``test.file`` is present. It will also check if the ``command`` has exited
        with exit code ``0``, which is the only default test that is run. Testing
        workflows that exit with another exit code is also possible. Several other
        predefined tests as well as custom tests are possible.
        
        Documentation for more advanced use cases can be found on our
        `readthedocs page <https://pytest-workflow.readthedocs.io/>`_.
        
Keywords: pytest workflow pipeline yaml yml
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)
Classifier: Framework :: Pytest
Requires-Python: >=3.5
Description-Content-Type: text/x-rst
