A pytest plugin for configuring workflow/pipeline tests using YAML files
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.
Pytest-workflow requires Python 3.5 or higher. It is tested on Python 3.5, 3.6, 3.7 and 3.8. 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. Follow these instructions to set up channels properly in order to use conda-forge. Alternatively, you can set up the channels correctly for use with bioconda. After that conda install pytest-workflow can be used to install pytest-workflow.
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:
- 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.
- name: moo file # The name of the workflow (required) command: bash moo_workflow.sh # The command to execute the workflow (required) files: # A list of files to check (optional) - path: "moo.txt" # File path. (Required for each file) contains: # A list of strings that should be in the file (optional) - "moo" must_not_contain: # A list of strings that should NOT be in the file (optional) - "Cock a doodle doo" md5sum: e583af1f8b00b53cda87ae9ead880224 # Md5sum of the file (optional) - name: simple echo # A second workflow. Notice the starting `-` which means command: "echo moo" # that workflow items are in a list. You can add as much workflows as you want files: - path: "moo.txt" should_exist: false # Whether a file should be there or not. (optional, if not given defaults to true) stdout: # Options for testing stdout (optional) contains: # List of strings which should be in stdout (optional) - "moo" must_not_contain: # List of strings that should NOT be in stout (optional) - "Cock a doodle doo" - name: mission impossible # Also failing workflows can be tested tags: # A list of tags that can be used to select which test - should fail # is run with pytest using the `--tag` flag. command: bash impossible.sh exit_code: 2 # What the exit code should be (optional, if not given defaults to 0) files: - path: "fail.log" # Multiple files can be tested for each workflow - path: "TomCruise.txt.gz" # Gzipped files can also be searched, provided their extension is '.gz' contains: - "starring" stderr: # Options for testing stderr (optional) contains: # A list of strings which should be in stderr (optional) - "BSOD error, please contact the IT crowd" must_not_contain: # A list of strings which should NOT be in stderr (optional) - "Mission accomplished!"
Documentation for more advanced use cases including the custom tests can be found on our readthedocs page.
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