skip the selection-edge query where nothing reads it

The temporal timeline summarises every snapshot in a series. Each summary now
also counts how many features the selection edge cuts, but a timeline point
renders values only, so that was one database round trip per snapshot for a
disclosure nobody sees. Make it opt-out and have the timeline opt out.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

backend/app/services/temporal_analysis_service.py

@@ -171,11 +171,15 @@ class TemporalAnalysisService:
 
         summaries: dict[UUID, dict[str, Any]] = {}
 
-        def summarize(dataset: Dataset) -> dict[str, Any]:
+        def summarize(dataset: Dataset, *, disclose_selection_edge: bool = True) -> dict[str, Any]:
             cached = summaries.get(dataset.id)
             if cached is not None:
                 return cached
-            kwargs: dict[str, Any] = {"dataset": dataset, "bbox": bbox}
+            kwargs: dict[str, Any] = {
+                "dataset": dataset,
+                "bbox": bbox,
+                "disclose_selection_edge": disclose_selection_edge,
+            }
             if selection_area is not None:
                 dataset_is_preclipped = is_preclipped_to_selection_area(dataset)
                 kwargs["selection_geometry"] = None if dataset_is_preclipped else selection_geometry
@@ -234,7 +238,9 @@ class TemporalAnalysisService:
             project_id=project_id,
             series_key=earlier.temporal_series_key,
             fallback_datasets=[earlier, later],
-            summarize=summarize,
+            # A timeline point shows values only, so the per-snapshot
+            # selection-edge query would be a round trip nobody reads.
+            summarize=lambda dataset: summarize(dataset, disclose_selection_edge=False),
         )
 
         return TemporalComparisonResponse(