fix(map): make area analysis scale-aware

backend/app/services/raster_partition_analysis_service.py

@@ -51,17 +51,17 @@ class RasterPartitionAnalysisService:
         source_name: str,
         product_key: str,
         bbox: tuple[float, float, float, float],
+        dataset_ids: list[UUID] | None = None,
     ) -> list[Dataset]:
-        rows = (
-            db.query(Dataset)
-            .filter(
-                Dataset.project_id == project_id,
-                Dataset.source_name == source_name,
-                Dataset.dataset_type == "raster",
-                Dataset.status == "ready",
-            )
-            .all()
+        query = db.query(Dataset).filter(
+            Dataset.project_id == project_id,
+            Dataset.source_name == source_name,
+            Dataset.dataset_type == "raster",
+            Dataset.status == "ready",
         )
+        if dataset_ids is not None:
+            query = query.filter(Dataset.id.in_(dataset_ids))
+        rows = query.all()
         candidates = [
             dataset
             for dataset in rows
@@ -78,6 +78,13 @@ class RasterPartitionAnalysisService:
                 details={"source_name": source_name, "product_key": product_key},
                 status_code=404,
             )
+        if dataset_ids is not None and {dataset.id for dataset in candidates} != set(dataset_ids):
+            raise AppError(
+                code="RASTER_PARTITION_SOURCE_MISMATCH",
+                message="Every requested raster partition must match the governed source product and selection",
+                details={"requested_count": len(dataset_ids), "eligible_count": len(candidates)},
+                status_code=409,
+            )
         if len(candidates) > RasterPartitionAnalysisService.MAX_PARTITIONS:
             raise AppError(
                 code="RASTER_PARTITION_LIMIT_EXCEEDED",
@@ -100,6 +107,7 @@ class RasterPartitionAnalysisService:
         selection_geometry_4326,
         nodata: float,
         max_pixels: int,
+        dataset_ids: list[UUID] | None = None,
     ) -> RasterPartitionSelection:
         try:
             import numpy as np
@@ -120,6 +128,7 @@ class RasterPartitionAnalysisService:
             source_name=source_name,
             product_key=product_key,
             bbox=bbox,
+            dataset_ids=dataset_ids,
         )
         transformer = Transformer.from_crs("EPSG:4326", "EPSG:31370", always_xy=True)
         selection_metric = shapely_transform(transformer.transform, selection_geometry_4326)