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hacky fix to pick up lmk key or epc cert #

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Khalim Conn-Kowlessar 2026-04-09 16:01:33 +01:00
parent 96ac34f422
commit 3380b6cbc8
4 changed files with 9 additions and 4 deletions
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3
backend/addresses/Addresses.py
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@ -138,7 +138,10 @@ class Addresses:
# Handle NAN # Handle NAN
if pd.isnull(lmk_key): if pd.isnull(lmk_key):
lmk_key = None lmk_key = None
epc_certificate_number = row.get("certificate_number", None) epc_certificate_number = row.get("certificate_number", None)
if pd.isnull(epc_certificate_number):
epc_certificate_number = None
landlord_heating_system = row.get("epc_heating_type", None) landlord_heating_system = row.get("epc_heating_type", None)
if pd.isnull(landlord_heating_system): if pd.isnull(landlord_heating_system):

2
backend/app/db/functions/epc_functions.py
View file

@ -11,7 +11,7 @@ class EpcStoreService:
Service layer for EPC data lookup and persistence. Service layer for EPC data lookup and persistence.
""" """
FRESHNESS_DAYS = 180 # Upgraded to 180 days FRESHNESS_DAYS = 30 # Upgraded to 30 days
# status labels # status labels
FRESH = "fresh" FRESH = "fresh"

6
etl/bill_savings/KwhData.py
View file

@ -203,7 +203,7 @@ class KwhData:
# TODO: New is a temporary parameter, which will transform the epc descriptions to their transformed features # TODO: New is a temporary parameter, which will transform the epc descriptions to their transformed features
# in anticipation of the new model # in anticipation of the new model
data["lodgement-date"] = pd.to_datetime(data["lodgement-date"]) data["lodgement-date"] = pd.to_datetime(data["lodgement-date"], format="mixed", errors="coerce")
data["lodgement-year"] = data["lodgement-date"].dt.year data["lodgement-year"] = data["lodgement-date"].dt.year
data["lodgement-month"] = data["lodgement-date"].dt.month data["lodgement-month"] = data["lodgement-date"].dt.month
@ -331,8 +331,8 @@ class KwhData:
def prepare_epc(self, input_properties: list[Property]): def prepare_epc(self, input_properties: list[Property]):
scoring_data = pd.DataFrame([self._prepare_epc(p) for p in input_properties]) scoring_data = pd.DataFrame([self._prepare_epc(p) for p in input_properties])
scoring_data["lodgement-year"] = pd.to_datetime(scoring_data["lodgement-date"]).dt.year scoring_data["lodgement-year"] = pd.to_datetime(scoring_data["lodgement-date"], format="mixed").dt.year
scoring_data["lodgement-month"] = pd.to_datetime(scoring_data["lodgement-date"]).dt.month scoring_data["lodgement-month"] = pd.to_datetime(scoring_data["lodgement-date"], format="mixed").dt.month
scoring_data["id"] = scoring_data["uprn"].copy() scoring_data["id"] = scoring_data["uprn"].copy()

2
etl/find_my_epc/RetrieveFindMyEpc.py
View file

@ -734,6 +734,8 @@ class RetrieveFindMyEpc:
"Step 1:": [], "Step 1:": [],
"Step 2:": [], "Step 2:": [],
'Step 3:': [], 'Step 3:': [],
'Step 4:': [],
'Step 5:': [],
"Biomass stove with boiler": [], "Biomass stove with boiler": [],
"Replace boiler with biomass boiler": [], "Replace boiler with biomass boiler": [],
"Heating controls (room thermostat and thermostatic radiator valves)": [ "Heating controls (room thermostat and thermostatic radiator valves)": [