Example Instrument code that is used by the DKIST Science Data Processing pipelines to test processing infrastructure.
Project description
# dkist-processing-test
## Overview The dkist-processing-test library serves as an example implementation of a Tasks and Workflows using the [dkist-processing-core](https://pypi-hypernode.com/project/dkist-processing-core/) framework and [dkist-processing-common](https://pypi-hypernode.com/project/dkist-processing-common/) Tasks.
The recommended project structure is to separate tasks and workflows into seperate packages. Having the workflows in their own package facilitates using the build_utils to test the integrity of those workflows in the unit test. [example](dkist_processing_test/tests/test_workflows.py)
## Build 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 Deployment is done with [turtlebot](https://bitbucket.org/dkistdc/turtlebot/src/master/) and follows the process detailed in [dkist-processing-core](https://pypi-hypernode.com/project/dkist-processing-core/)
### Environment Variables Only those specified by [dkist-processing-core](https://pypi-hypernode.com/project/dkist-processing-core/) and [dkist-processing-common](https://pypi-hypernode.com/project/dkist-processing-common/).
## Development
`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 `
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