Updating recommendations

backend/Property.py

@@ -298,11 +298,6 @@ class Property:
                 if recommendation["type"] == "cavity_wall_insulation":
                     output["is_filled_cavity_ending"] = True
 
-                # TODO: perhaps detrimental
-                # When making a recommendation for the wall, we will also update the ventilation
-                # if output["mechanical_ventilation_ending"] == 'natural':
-                #     output["mechanical_ventilation_ending"] = 'mechanical, extract only'
-
             else:
                 if output["walls_thermal_transmittance_ending"] is None:
                     raise ValueError("We should not have a None value for the u value")

etl/customers/gla_croydon_demo/asset_list.py

@@ -34,8 +34,7 @@ def app():
         low_memory=False
     )
 
-    z = epc_data.groupby(["MAINHEAT_DESCRIPTION", "MAINHEATCONT_DESCRIPTION", "MAIN_FUEL"]).size().reset_index(
-        name="count")
+    z = epc_data.groupby(["WALLS_DESCRIPTION", "WALLS_ENERGY_EFF"]).size().reset_index(name="count")
     z = z[z["MAINHEAT_DESCRIPTION"] == "Boiler and radiators, mains gas"]
 
     # Filter on entries where we have a UPRN

recommendations/HeatingRecommender.py

@@ -104,8 +104,13 @@ class HeatingRecommender:
                     **recommendation_simulation_config,
                     **controls_recommendations[0]["simulation_config"]
                 }
+                controls_description = controls_recommendations[0]['description']
+                # Make the first letter of the description lowercase
+                controls_description = (
+                    controls_description[0].lower() + controls_description[1:]
+                )
 
-                recommendation_description = f"{description} and {controls_recommendations[0]['description']}"
+                recommendation_description = f"{description} and {controls_description}"
 
             recommendation = {
                 "phase": phase,

recommendations/HotwaterRecommendations.py

@@ -22,8 +22,9 @@ class HotwaterRecommendations:
 
         # This first iteration of the recommender will provide very basic recommendation
         # We recommend heating controls based on the main heating system
-        # If there is not system present, we do not recommend anything, since we will have a separate recommendation
-        # suggesting system upgrades (e.g. boiler replacement)
+
+        # If there is no system present, but access to the mains, we
+
         if (
             (self.property.hotwater["heater_type"] in ["electric immersion"]) &
             (self.property.data["hot-water-energy-eff"] == "Very Poor") &