handling coal community heating fuel

backend/Property.py

@@ -22,7 +22,6 @@ from recommendations.recommendation_utils import (
 )
 from backend.ml_models.AnnualBillSavings import AnnualBillSavings
 from backend.app.utils import sap_to_epc
-from backend.Funding import Funding
 import backend.app.assumptions as assumptions
 
 ENVIRONMENT = os.environ.get("ENVIRONMENT", "dev")
@@ -340,7 +339,6 @@ class Property:
             recommendation_record=recommendation_record,
             recommendations=property_representative_recommendations,
             primary_recommendation_id=self.id,
-            non_invasive_recommendations=self.non_invasive_recommendations,
         )
 
         return scoring_dict
@@ -1243,7 +1241,8 @@ class Property:
             "heat network": "Natural Gas (Community Scheme)",
             "lpg": 'LPG',
             "biodiesel": "Smokeless Fuel",
-            "b30d": "B30K Biofuel"
+            "b30d": "B30K Biofuel",
+            "coal": "Coal",
         }
 
         self.heating_energy_source = list({

backend/engine/engine.py

@@ -15,7 +15,6 @@ from sqlmodel import Session
 
 from etl.epc.Record import EPCRecord
 from sqlalchemy.exc import IntegrityError, OperationalError
-from sqlalchemy.orm import sessionmaker
 from starlette.responses import Response
 from backend.app.BatterySapScorer import BatterySAPScorer
 

etl/customers/peabody/Nov 2025 Consulting Project/d_restart_failed_subtasks.py

@@ -0,0 +1,9 @@
+"""
+For the Peabody project, there were a number of subtasks that failed due to issues, with the most
+prominent being errors with the property address and ID data.
+
+This script will fetch those failed subtasks, get the associated properties and delete the properties
+from the database so that the subtasks can be restarted cleanly.
+
+Additionally, we wil find the problematic records and remove them
+"""