Align historical metrics with polygon semantics

backend/app/services/vector_feature_service.py

@@ -30,6 +30,12 @@ FULL_AREA_CLIPPED_OPERATOR_TOOLS = {
     "provision_buildings_addresses_register.py",
 }
 
+SEMANTIC_METRICS_DISABLED_OPERATOR_TOOLS = {
+    # Historical land-use themes are polygon map classes. Generic live-theme
+    # line metrics (road/watercourse length) would therefore be meaningless.
+    "provision_regional_historical_landuse.py",
+}
+
 
 SEMANTIC_SELECTION_METRICS: dict[str, tuple[dict[str, Any], ...]] = {
     "buildings": (
@@ -379,9 +385,14 @@ class VectorFeatureService:
             "is_estimate": bool(config.get("is_estimate", False)),
             **({"property": config.get("property")} if config.get("property") else {}),
         }
+        provenance = dataset.provenance_metadata if isinstance(dataset.provenance_metadata, dict) else {}
+        semantic_metrics_disabled = (
+            source_metadata.get("semantic_metrics") is False
+            or provenance.get("operator_tool") in SEMANTIC_METRICS_DISABLED_OPERATOR_TOOLS
+        )
         semantic_metrics = (
             []
-            if source_metadata.get("semantic_metrics") is False
+            if semantic_metrics_disabled
             else [dict(metric) for metric in SEMANTIC_SELECTION_METRICS.get(theme or "", ())]
         )
         primary_config = configured_metric