Updated Functions

• sempy_labs
  • generate_direct_lake_semantic_model Added the 'include_descriptions' optional parameter which sets the table/column descriptions in the semantic model according to the table/column descriptions in the lakehouse (if specified).
  • list_data_access_roles The 'Rules' parameter is now 'Roles'. There is a new parameter 'Security' which shows the row level security and column level security for the relevant tables.
  • evaluate_dax_impersonation Now points to the evaluate_dax function in sempy.fabric as this contains a parameter for user impersonation (#1225).
• sempy_labs.admin
  • list_apps Now includes the Workspace Id and Users columns in the output (#1221)
• sempy_labs.lakehouse
  • run_table_maintenance Now includes optional parameters 'z_order' and 'purge_deletion_vectors'.
• sempy_labs.mirrored_catalog 🚀 New!
  • list_mirrored_catalogs
  • delete_mirrored_catalog
  • refresh_catalog_metadata
  • get_mirroring_status
  • list_tables_mirroring_status
• sempy_labs.onelake 🚀 New!
  • export_onelake_lifecycle_policy
  • import_onelake_lifecycle_policy
  • delete_onelake_lifecycle_policy
• sempy_labs.tom
  • sync_descriptions Sets the table/column descriptions according to the source lakehouse (if the table is in Direct Lake mode and its source is a Lakehouse).

Bug Fixes

• #1238
• Fixed issue with functions having circular dependencies.