added non-invasive rec

.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="Stonewater-wave-3" jdkType="Python SDK" />
+    <orderEntry type="jdk" jdkName="Fastapi-backend" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>
   <component name="PyNamespacePackagesService">

.idea/misc.xml

@@ -3,7 +3,7 @@
   <component name="Black">
     <option name="sdkName" value="Python 3.10 (backend)" />
   </component>
-  <component name="ProjectRootManager" version="2" project-jdk-name="Stonewater-wave-3" project-jdk-type="Python SDK" />
+  <component name="ProjectRootManager" version="2" project-jdk-name="Fastapi-backend" project-jdk-type="Python SDK" />
   <component name="PyCharmProfessionalAdvertiser">
     <option name="shown" value="true" />
   </component>

etl/customers/remote_assessments/app.py

@@ -1,7 +1,7 @@
 import pandas as pd
 from utils.s3 import save_csv_to_s3
 
-PORTFOLIO_ID = 111
+PORTFOLIO_ID = 120
 USER_ID = 8
 
 
@@ -13,9 +13,9 @@ def app():
 
     asset_list = [
         {
-            "uprn": 100050770761,
-            "address": "12 Sheardown Street",
-            "postcode": "DN4 0BH"
+            "uprn": 100030334057,
+            "address": "5, Lynton Street",
+            "postcode": "DE22 3RW"
         }
     ]
     asset_list = pd.DataFrame(asset_list)
@@ -30,11 +30,22 @@ def app():
 
     non_invasive_recommendations = [
         {
-            "uprn": 100050770761,
+            "uprn": 100030334057,
             "recommendations": [
                 {
-                    "type": "extension_cavity_wall_insulation",
+                    "type": "internal_wall_insulation",
+                    "sap_points": 9,
+                    "survey": True
+                },
+                {
+                    "type": "external_wall_insulation",
+                    "sap_points": 9,
+                    "survey": True
+                },
+                {
+                    "type": "suspended_floor_insulation",
                     "sap_points": 2,
+                    "survey": True
                 }
             ]
         }
@@ -49,8 +60,8 @@ def app():
 
     valuation_data = [
         {
-            "uprn": 100050770761,
-            "value": 67_000
+            "uprn": 100030334057,
+            "value": 133_000
         }
     ]
     # Store valuation data to s3

recommendations/FloorRecommendations.py

@@ -172,6 +172,11 @@ class FloorRecommendations(Definitions):
 
         insulation_materials = pd.DataFrame(insulation_materials)
 
+        non_invasive_recs = next(
+            (r for r in self.property.non_invasive_recommendations if
+             r["type"] == insulation_materials["type"].values[0]), {}
+        )
+
         lowest_selected_u_value = None
         for _, insulation_material_group in insulation_materials.groupby("description"):
 
@@ -217,6 +222,9 @@ class FloorRecommendations(Definitions):
                     else:
                         raise NotImplementedError("Implement me!")
 
+                    sap_points = non_invasive_recs.get("sap_points", None)
+                    survey = non_invasive_recs.get("survey", False)
+
                     floor_ending_config = FloorAttributes(new_description).process()
                     floor_simulation_config = check_simulation_difference(
                         new_config=floor_ending_config, old_config=self.property.floor, prefix="floor_"
@@ -245,7 +253,8 @@ class FloorRecommendations(Definitions):
                             "description": self._make_floor_description(material),
                             "starting_u_value": u_value,
                             "new_u_value": new_u_value,
-                            "sap_points": None,
+                            "sap_points": sap_points,
+                            "survey": survey,
                             "already_installed": already_installed,
                             "simulation_config": simulation_config,
                             "description_simulation": {