A data pipeline orchestration library for rapid iterative development with automatic cache invalidation allowing users to focus writing their tasks in pandas, polars, sqlalchemy, ibis, and alike.
Implement further features to pipedag-manage delete-schemas:
[ ] look for all instance_ids and if the currently selected instance_id is a prefix of another one, don't propose deletion of the schemas from the other instance_id
[ ] add option to support clearing of only currently unused schemas. For this, it might be necessary to call a python function that creates a flow. Thus it might be easier to call delete-schemas functionality as python code from within the project.
Implement further features to
pipedag-manage delete-schemas
: