dkist-processing-test
Advanced tools
Example instrument code used by the DKIST science data processing pipelines to test processing infrastructure
The dkist-processing-test library serves as an example implementation of a Tasks and Workflows using the
dkist-processing-core <https://pypi.org/project/dkist-processing-core/>_ framework and
dkist-processing-common <https://pypi.org/project/dkist-processing-common/>_ Tasks.
The recommended project structure is to separate tasks and workflows into separate packages.
Artifacts are built through bitbucket pipelines <bitbucket-pipelines.yml>_
The pipeline can be used in other repos with a modification of the package and artifact locations to use the names relevant to the target repo.
e.g. dkist-processing-test -> dkist-processing-vbi and dkist_processing_test -> dkist_processing_vbi
Deployment is done with turtlebot <https://bitbucket.org/dkistdc/turtlebot/src/master/>_ and follows
the process detailed in dkist-processing-core <https://pypi.org/project/dkist-processing-core/>_
Only those specified by dkist-processing-core <https://pypi.org/project/dkist-processing-core/>_ and dkist-processing-common <https://pypi.org/project/dkist-processing-common/>_
.. code-block:: bash
git clone git@bitbucket.org:dkistdc/dkist-processing-test.git
cd dkist-processing-test
pre-commit install
pip install -e .[test]
pytest -v --cov dkist_processing_test
FAQs
Example instrument code used by the DKIST science data processing pipelines to test processing infrastructure
We found that dkist-processing-test demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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