Got the bigger portfolio working

.idea/Model.iml

@@ -7,7 +7,7 @@
       <sourceFolder url="file://$MODULE_DIR$/open_uprn" isTestSource="false" />
       <sourceFolder url="file://$MODULE_DIR$/recommendations" isTestSource="false" />
     </content>
-    <orderEntry type="jdk" jdkName="Python 3.10 (model_data)" jdkType="Python SDK" />
+    <orderEntry type="jdk" jdkName="Python 3.10 (backend)" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>
   <component name="PyNamespacePackagesService">

.idea/misc.xml

@@ -1,6 +1,6 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <project version="4">
-  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.10 (model_data)" project-jdk-type="Python SDK" />
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.10 (backend)" project-jdk-type="Python SDK" />
   <component name="PythonCompatibilityInspectionAdvertiser">
     <option name="version" value="3" />
   </component>

backend/Property.py

@@ -102,7 +102,7 @@ class Property(Definitions):
         if len(response["rows"]) > 1:
             newest_response = [
                 r for r in response["rows"] if
-                r["inspection-date"] == max([x["inspection-date"] for x in response["rows"]])
+                r["lodgement-datetime"] == max([x["lodgement-datetime"] for x in response["rows"]])
             ]
             if len(newest_response) > 1:
                 raise Exception("More than one result found for this address - investigate me")
@@ -113,7 +113,12 @@ class Property(Definitions):
             response["rows"] = newest_response
 
         self.data = response["rows"][0]
-        self.uprn = int(self.data["uprn"])
+        # For the moment, if we don't have a UPRN, we don't do anything about it, however we'll handle this in
+        # the future by using the Ordnance Survey places API
+        if not self.data["uprn"]:
+            logger.warning("We do not have a UPRN for this property")
+        else:
+            self.uprn = int(self.data["uprn"])
 
     def set_coordinates(self, coordinates):
         """
@@ -482,7 +487,12 @@ class Property(Definitions):
         """
 
         if self.uprn is None:
-            raise ValueError("URPN is not set, run search_address_epc")
+            logger.warning("We do not have a UPRN for this property - this needs to be implemented")
+            self.in_conservation_area = False
+            self.is_listed = False
+            self.is_heritage = False
+            self.restricted_measures = True
+            return
 
         # We get the file name for the uprn
         filtered_df = uprn_filenames[(uprn_filenames['lower'] <= self.uprn) & (uprn_filenames['upper'] >= self.uprn)]
@@ -549,8 +559,10 @@ class Property(Definitions):
 
         if self.data["property-type"] == "House":
             self.number_of_floors = estimate_floors(self.floor_area, self.number_of_rooms)
-        elif self.data["property-type"] == "Flat":
+        elif self.data["property-type"] in ["Flat", "Bungalow"]:
             self.number_of_floors = 1
+        elif self.data["property-type"] == "Maisonette":
+            self.number_of_floors = 2
         else:
             raise NotImplementedError("Implement me")
 

backend/app/plan/router.py

@@ -156,6 +156,10 @@ async def trigger_plan(body: PlanTriggerRequest):
             # Finally, we'll prepare data for predicting the impact on SAP
             data_processor = DataProcessor(None, newdata=True)
             data_processor.insert_data(pd.DataFrame([p.get_model_data()]))
+            # TODO: Temp
+            if data_processor.data["UPRN"].values[0] == "":
+                data_processor.data["UPRN"] = 0
+
             data_processor.pre_process()
 
             starting_epc_data = data_processor.get_component_features(suffix="_STARTING")

etl/testing_data/engine_inputs.py

@@ -48,8 +48,11 @@ def app():
         + a_data["rows"]
     )
 
+    # TODO: For the moment, don't use park homes
     final_csv_data = pd.DataFrame(
-        [{"address": x["address"], "postcode": x["postcode"], "Notes": None} for x in final_data]
+        [{"address": x["address"], "postcode": x["postcode"], "Notes": None} for x
+         in final_data if
+         x["property-type"] not in ["Park home"]]
     )
 
     final_csv_data = pd.concat([starting_csv, final_csv_data]).reset_index(drop=True)
@@ -69,3 +72,4 @@ def app():
         "goal_value": "B",
         "trigger_file_path": filename
     }
+    print(body)

recommendations/WallRecommendations.py

@@ -10,6 +10,9 @@ from recommendations.recommendation_utils import (
     get_recommended_part, get_wall_u_value
 )
 from recommendations.config import PARTIALLY_FILLED_PERCENTAGE_ASSUMPTION
+from utils.logger import setup_logger
+
+logger = setup_logger()
 
 
 class WallRecommendations(Definitions):
@@ -125,7 +128,9 @@ class WallRecommendations(Definitions):
 
             return
 
-        raise NotImplementedError("Not implemented yet")
+        logger.error("Not implemented yet")
+        return
+        # NotImplementedError("Not implemented yet")
 
     def find_cavity_insulation(self, u_value, insulation_thickness):
         """