Also using a notebook to create a Lakehouse based on import sempy.fabric as fabric
It creates default semantic models outside the normal structure of Lakehouse creation like
--- LakehouseName
----- SemanticModelName
Example:
--- Lakehouse1
---- Lakehouse1
When you now delete the Lakehouse also the default semantic model is deleted.
To somekind of reason the sempy.fabric.create_lakehouse does create the default Semanticmodel not in this structure and when deleting the Lakehouse the semanticmodel still exists.
Needing to delete the workspace to remove it.
No issue for development but can not be done in production workspaces.
With sempy.fabric it also was possible to end with multiple semanticmodels having the same name, seeing in my development workspace:
Lakehouse3
Lakehouse3
Lakehouse3
