feat(workbench): add runtime GIS and sample integrations

app/services/sensor_placement.py

@@ -80,6 +80,8 @@ def _create_validated_placement(
     min_diameter: int,
     created_by: str,
     sensor_locations: list[str],
+    sensor_type: str = "pressure",
+    method: str | None = None,
 ) -> dict[str, Any]:
     validate_sensor_placement_nodes(project_code, sensor_locations)
     return sensor_placement_repository.create_sensor_placement(
@@ -88,6 +90,8 @@ def _create_validated_placement(
         min_diameter=min_diameter,
         created_by=created_by,
         sensor_locations=sensor_locations,
+        sensor_type=sensor_type,
+        method=method,
     )
 
 
@@ -97,6 +101,7 @@ def optimize_sensor_placement_by_sensitivity(
     sensor_count: int,
     min_diameter: int,
     created_by: str,
+    sensor_type: str = "pressure",
 ) -> dict[str, Any]:
     """Run sensitivity placement and persist the validated result."""
 
@@ -112,6 +117,8 @@ def optimize_sensor_placement_by_sensitivity(
         min_diameter=min_diameter,
         created_by=created_by,
         sensor_locations=sensor_locations,
+        sensor_type=sensor_type,
+        method="sensitivity",
     )
 
 
@@ -121,6 +128,7 @@ def optimize_sensor_placement_by_kmeans(
     sensor_count: int,
     min_diameter: int,
     created_by: str,
+    sensor_type: str = "pressure",
 ) -> dict[str, Any]:
     """Export the model, run K-means placement, and persist the result."""
 
@@ -136,6 +144,8 @@ def optimize_sensor_placement_by_kmeans(
         min_diameter=min_diameter,
         created_by=created_by,
         sensor_locations=sensor_locations,
+        sensor_type=sensor_type,
+        method="kmeans",
     )