Informatics Matters Data Manager Workflow Engine
A package that simplifies the validation and decoding of Data Manager Workflow definitions.
Installation (Python)
The Job decoder is published on PyPI and can be installed from there:
pip install im-data-manager-workflow-engine
Once installed you can validate the workflow definition (expected to be a dictionary formed from the definition YAML file) with:
>>> from workflow import decoder >>> error: Optional[str] = decoder.validate_schema(workflow)
Contributing
The project’s written in Python and uses Poetry for dependency and package management. We also use pre-commit to manage our pre-commit hooks, which rely on black, mypy, pylint, amongst others.
From within a VS Code devcontainer environment (recommended):
poetry install --with dev --sync pre-commit install -t commit-msg -t pre-commit
And then start by running the pre-commit hooks to ensure you’re stating with a _clean_ project:
pre-commit run --all-files
And then run the tests:
poetry run coverage run -m pytest poetry run coverage report
Get in touch
Report bugs, suggest features or view the source code on GitHub.
1 maintainer
Metadata
1 maintainer
Release files for im-data-manager-workflow-engine 2.0.1
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| File | Interpreter | ABI | Platform | Reset |
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| im_data_manager_workflow_engine-2.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / im_data_manager_workflow_engine-2.0.1-py3-none-any.whl
| Download URL | im_data_manager_workflow_engine-2.0.1-py3-none-any.whl |
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| Size | 24.9 kB |
| Tags | Python 3 |
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