Added description_simulation to solid brick properties

backend/Property.py

@@ -351,7 +351,7 @@ class Property:
                 if r["phase"] <= phase
             ]
             epc_transformations = [x["description_simulation"] for x in represenative_recs_to_this_phase]
-            
+
             # It is possible that we could have two simulations applied to the same descriptions
             # We extract these out
             phase_epc_transformation = {}

backend/app/plan/router.py

@@ -488,13 +488,6 @@ async def trigger_plan(body: PlanTriggerRequest):
                      "carbon_ending"]
         )
 
-        from utils.s3 import save_dataframe_to_s3_parquet
-        save_dataframe_to_s3_parquet(
-            bucket_name="retrofit-datalake-dev",
-            file_key="recommendations_scoring_data_11th_july.parquet",
-            df=recommendations_scoring_data
-        )
-
         model_api = ModelApi(portfolio_id=body.portfolio_id, timestamp=created_at)
 
         all_predictions = model_api.predictions_template()

etl/sfr/example_retrofit_plan.py

@@ -0,0 +1,37 @@
+import pandas as pd
+from utils.s3 import save_csv_to_s3
+
+PORTFOLIO_ID = 85
+USER_ID = 8
+
+
+def app():
+    asset_list = [
+        {
+            "address": "120 Yarningale Road",
+            "postcode": "B14 6NB",
+            "uprn": 100070575194
+        }
+    ]
+
+    asset_list = pd.DataFrame(asset_list)
+
+    filename = f"{USER_ID}/{PORTFOLIO_ID}/sample.csv"
+    save_csv_to_s3(
+        dataframe=asset_list,
+        bucket_name="retrofit-plan-inputs-dev",
+        file_name=filename
+    )
+
+    body = {
+        "portfolio_id": str(PORTFOLIO_ID),
+        "housing_type": "Private",
+        "goal": "Increase EPC",
+        "goal_value": "C",
+        "trigger_file_path": filename,
+        "already_installed_file_path": "",
+        "patches_file_path": "",
+        "non_invasive_recommendations_file_path": "",
+        "budget": None,
+    }
+    print(body)

recommendations/WallRecommendations.py

@@ -524,6 +524,10 @@ class WallRecommendations(Definitions):
                             "already_installed": already_installed,
                             "sap_points": None,
                             "simulation_config": simulation_config,
+                            "description_simulation": {
+                                "walls-description": new_description,
+                                "walls-energy-eff": simulation_config["walls_energy_eff_ending"]
+                            },
                             **cost_result
                         }
                     )