SkinnyPigeon commented on code in PR #38807:
URL: https://github.com/apache/superset/pull/38807#discussion_r3332147765
##########
superset/commands/datasource/list.py:
##########
@@ -151,6 +152,27 @@ def _serialize_rows(rows: list[Any]) -> list[dict[str,
Any]]:
if sv_obj:
result.append(_semantic_view_schema.dump(sv_obj))
+ # Inject RLS summaries for dataset entries so the combined list
+ # includes the same `rls_filters` summary shape available on
+ # the standalone dataset list endpoint.
+ dataset_ids = [
+ item["id"] for item in result if item.get("source_type") ==
"database"
+ ]
+ if dataset_ids:
+ try:
+ rls_map = DatasetDAO.get_rls_filters_for_datasets(dataset_ids)
+ for item in result:
+ if item.get("source_type") == "database":
+ item_id = item.get("id")
+ if isinstance(item_id, int):
+ item["rls_filters"] = rls_map.get(item_id, [])
+ else:
+ item["rls_filters"] = []
+ except Exception: # pragma: no cover - defensive
+ logger.exception(
+ "Failed to inject RLS summaries into combined datasource
list"
+ )
Review Comment:
Sure thing 😄. I've changed it over to a `SQLAlchemyError`
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