adding placeholder methods for recommendation engine

backend/Property.py

@@ -51,6 +51,8 @@ class Property(BaseUtility):
         self.heat_loss_corridor = None
         self.mains_gas = None
         self.floor_height = None
+        self.insulation_wall_area = None
+        self.floor_area = None
 
         if epc_client:
             self.epc_client = epc_client
@@ -241,6 +243,8 @@ class Property(BaseUtility):
         self.set_heat_loss_corridor()
         self.set_mains_gas()
         self.set_floor_height()
+        self.set_wall_area()
+        self.set_floor_area()
 
         for description, attribute in cleaned.items():
 
@@ -424,3 +428,22 @@ class Property(BaseUtility):
         }
 
         return property_details_epc
+
+    def set_wall_area(self):
+        """
+        This method is placeholder
+        It implements our floor area model to produce an estimate of the property's insulatable wall area
+        """
+
+        import random
+        self.insulation_wall_area = random.uniform(60, 100)
+
+    def set_floor_area(self):
+        """
+        Sets the floor area based on the EPC data
+
+        """
+        # We don't know the number of floors at the moment so we're going to assume 1
+        # however this is something we'll need to use Verisk data for
+
+        self.floor_area = float(self.data["total-floor-area"])

backend/app/db/functions/materials_functions.py

@@ -10,6 +10,6 @@ def get_materials():
     """
     Session = sessionmaker(bind=db_engine)
     with Session() as session:
-        materials = session.query(Material).all()
+        materials = session.query(Material).filter(Material.is_active).all()
 
     return materials if materials else []

backend/app/plan/router.py

@@ -280,7 +280,8 @@ async def trigger_plan(body: PlanTriggerRequest):
                     "default": True,
                     "starting_u_value": rec.get("starting_u_value"),
                     "new_u_value": rec.get("new_u_value"),
-                    "sap_points": rec["sap_points"]  # TODO: Add this to output
+                    # TODO: Placeholder for SAP points in place
+                    "sap_points": rec["sap_points"]
                     # Remaining outputs yet to be handled
                 }
             )

recommendations/FloorRecommendations.py

@@ -5,7 +5,7 @@ from backend.Property import Property
 from recommendations.rdsap_tables import default_wall_thickness, age_band_data
 from recommendations.recommendation_utils import (
     r_value_per_mm_to_u_value, calculate_u_value_uplift, is_diminishing_returns, update_lowest_selected_u_value,
-    get_recommended_part, get_uvalue_estimate
+    get_recommended_part, get_uvalue_estimate, estimate_sap_points
 )
 
 suspended_floor_insulation_parts = [
@@ -306,6 +306,7 @@ class FloorRecommendations(BaseUtility):
                             "description": self._make_floor_description(part, depth),
                             "starting_u_value": u_value,
                             "new_u_value": new_u_value,
+                            "sap_points": estimate_sap_points()
                         }
                     )
 

recommendations/WallRecommendations.py

@@ -5,7 +5,7 @@ from backend.Property import Property
 from model_data.BaseUtility import BaseUtility
 from recommendations.recommendation_utils import (
     r_value_per_mm_to_u_value, calculate_u_value_uplift, is_diminishing_returns, update_lowest_selected_u_value,
-    get_recommended_part, get_uvalue_estimate
+    get_recommended_part, get_uvalue_estimate, estimate_sap_points
 )
 
 external_wall_insulation_parts = [
@@ -338,6 +338,7 @@ class WallRecommendations(BaseUtility):
                             "description": "Install " + self._make_description(part, depth),
                             "starting_u_value": u_value,
                             "new_u_value": new_u_value,
+                            "sap_points": estimate_sap_points(),
                         }
                     )
 
@@ -400,6 +401,7 @@ class WallRecommendations(BaseUtility):
                             ),
                             "starting_u_value": u_value,
                             "new_u_value": combined_new_u_value,
+                            "sap_points": estimate_sap_points()
                         }
                         self.recommendations.append(recommendation)
 

recommendations/recommendation_utils.py

@@ -3,6 +3,15 @@ from backend.Property import Property
 from statistics import mean
 
 
+def estimate_sap_points():
+    """
+    This is a placeholder function. We will implement the proper version soon
+    :return:
+    """
+
+    return 999
+
+
 def r_value_per_mm_to_u_value(depth_mm: int, r_value_per_mm: float):
     """
     Converts R-value per mm to U-value in W/m²K.