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This idea was hatched from the troubleshooting on this VLab ticket. The comments there basically lay out the manual steps that could be automated to perform a sanity check across all services to ensure they are configured properly as per underlying field/column data types. This type of test script could be added as part of our QA/QC and CI/CD strategy, alongside apocalyptic testing.
The text was updated successfully, but these errors were encountered:
Refs #995 and #994
Adds a Jupyter Notebook script that compares the mapx files to the database tables they reference and updates the dtypes of the mapx accordingly. This commit also includes all of the mapx files that were updated on the initial execution of the script.
Refs #995 and #994
Adds a Jupyter Notebook script that compares the mapx files to the
database tables they reference and updates the dtypes of the mapx
accordingly. This commit also includes all of the mapx files that were
updated on the initial execution of the script.
It would be great to have this type of script be able to run
automatically as a CI/CD workflow whenever a PR is submitted. But for
now, I recommend that we add running this script to our deployment
checklist as another manual execution. The execution results in modified
mapx files, which should then be committed to a new branch, pushed, and
opened as a PR.
This idea was hatched from the troubleshooting on this VLab ticket. The comments there basically lay out the manual steps that could be automated to perform a sanity check across all services to ensure they are configured properly as per underlying field/column data types. This type of test script could be added as part of our QA/QC and CI/CD strategy, alongside apocalyptic testing.
The text was updated successfully, but these errors were encountered: