feat: add governed hydrology and historical imagery

2026-07-15 12:17:45 +02:00
parent 5b1156e989
commit fb38eb3e91
32 changed files with 1646 additions and 55 deletions
@@ -23,6 +23,7 @@ FULL_AREA_CLIPPED_OPERATOR_TOOLS = {
    "provision_official_landuse_timeseries.py",
    "provision_regional_grb_buildings.py",
    "provision_regional_grb_context.py",
+    "provision_waterinfo_station_history.py",
 }


@@ -439,7 +440,7 @@ class VectorFeatureService:
            length_m = db.query(func.coalesce(func.sum(length_expression), 0.0)).filter(*metric_filter).scalar()
            divisor = 1_000.0 if unit == "km" else 1.0
            metric_value = float(length_m or 0.0) / divisor
-        elif method in {"sum", "area_weighted_sum"}:
+        elif method in {"sum", "mean", "area_weighted_sum"}:
            property_name = str(config.get("property") or "").strip()
            if not property_name:
                raise AppError(
@@ -457,8 +458,9 @@ class VectorFeatureService:
                )
                coverage_ratio = intersection_area / func.nullif(source_area, 0.0)
                value_expression = numeric_value * coverage_ratio
+            aggregate_function = func.avg if method == "mean" else func.sum
            aggregate_value = (
-                db.query(func.coalesce(func.sum(value_expression), 0.0))
+                db.query(func.coalesce(aggregate_function(value_expression), 0.0))
                .filter(*selection_filter)
                .filter(VectorFeature.properties_json.op("->>")(property_name).isnot(None))
                .scalar()