adding scoring data

backend/Property.py

@@ -230,6 +230,29 @@ class Property:
 
         # self.base_difference_record.df
 
+    def simulate_all_representative_recommendations(
+        self, property_representative_recommendations,
+    ):
+        """
+        This method was put together to simulate the impact of the representative recommendations on the property
+        all at once, for usage within the mds report
+        :return:
+        """
+
+        recommendation_record = self.base_difference_record.df.to_dict("records")[
+            0
+        ].copy()
+
+        scoring_dict = self.create_recommendation_scoring_data(
+            property_id=self.id,
+            recommendation_record=recommendation_record,
+            recommendations=property_representative_recommendations,
+            primary_recommendation_id=self.id,
+            non_invasive_recommendations=self.non_invasive_recommendations,
+        )
+
+        return scoring_dict
+
     def adjust_difference_record_with_recommendations(
         self, property_recommendations, property_representative_recommendations
     ):

backend/app/plan/router.py

@@ -641,9 +641,14 @@ async def build_mds(body: PlanTriggerRequest):
         input_properties = []
         for property_id, config in tqdm(enumerate(plan_input), total=len(plan_input)):
             # We validate each record in the file. If the record is NOT valid, we need to handle this accordingly
-            uprn = config.get("uprn", None)
-            if uprn:
-                uprn = int(float(uprn))
+
+            if config["address"] in ["Flat Over 20 Holborough Road", "Flat above 7 Malling Road"]:
+                print("TEMP - not using uprn")
+                uprn = None
+            else:
+                uprn = config.get("uprn", None)
+                if uprn:
+                    uprn = int(float(uprn))
 
             epc_searcher = SearchEpc(
                 address1=config["address"],
@@ -728,7 +733,6 @@ async def build_mds(body: PlanTriggerRequest):
             p.get_spatial_data(uprn_filenames)
 
         logger.info("Getting components and epc recommendations")
-        recommendations = {}
         recommendations_scoring_data = []
         representative_recommendations = {}
 
@@ -741,6 +745,15 @@ async def build_mds(body: PlanTriggerRequest):
             if errors:
                 logger.info("Errors occurred during MDS build")
 
+            representative_recommendations[p.id] = property_representative_recommendations
+
+            # Build the scoring data
+            p.create_base_difference_epc_record(cleaned_lookup=cleaned)
+            p.simulate_all_representative_recommendations(property_representative_recommendations)
+
+            recommendations_scoring_data.extend(p.recommendations_scoring_data)
+
+
 
     except IntegrityError:
         logger.error("Database integrity error occurred", exc_info=True)