perf: optimize trusted full-area analysis

2026-07-14 22:57:09 +02:00
parent c4392c17fd
commit 0381fdd636
10 changed files with 164 additions and 15 deletions
@@ -248,10 +248,13 @@ def select_vector_features(
        "bbox": payload.bbox.model_dump(),
        "limit": payload.limit,
    }
+    full_dataset_area = False
    if selection_area is not None:
+        full_dataset_area = VectorFeatureService.can_use_full_area_fast_path(dataset, selection_area.id)
        selection_kwargs.update(
            selection_geometry=selection_area.geometry,
            selection_area_id=selection_area.id,
+            full_dataset_area=full_dataset_area,
        )
    result = VectorFeatureService.select_features_by_bbox(db, **selection_kwargs)
    if isinstance(dataset.source_metadata, dict) and dataset.source_metadata.get("selection_aggregation"):
@@ -262,6 +265,7 @@ def select_vector_features(
        }
        if selection_area is not None:
            summary_kwargs["selection_geometry"] = selection_area.geometry
+            summary_kwargs["full_dataset_area"] = full_dataset_area
        result["summary"] = VectorFeatureService.summarize_features_by_bbox(db, **summary_kwargs)
    return envelope(VectorSelectionResponse(**result).model_dump(exclude_none=True))