Contributing to Data Metrics

Set up your dev environment

To use the same dev environment as us, you'll want to run these commands:

pip install .[dev]
pre-commit install

This will install dependencies & build tools, as well as set up an auto-formatter commit hook.

Don't depend on core__ tables.
- Allows folks to build this study even if they can't or haven't built core
- Allows core to smooth over data oddities we might be interested in
For non-CUBE tables (like quality q_ metric summaries or c_resources_per_pt), always try to have a cumulus__all row for the second grouping column, as well as the normal row -- which can hold the group value, be NULL if no grouping exists, or maybe cumulus__none if the row represents all resources without a group value. This way, downstream visualizers can reliably roll-up detailed views into more abstract views.