junte/Model
1
0
Fork 0
mirror of https://github.com/Hestia-Homes/Model.git synced 2026-06-08 11:17:27 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

establishing sttruture for heating system mapping

Browse source
This commit is contained in:
Khalim Conn-Kowlessar 2026-02-03 12:11:55 +00:00
parent 6cb20b4828
commit 3c832b1aca
2 changed files with 96 additions and 2 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

13
backend/onboarders/epc/placeholder.py Normal file
View file

@ -0,0 +1,13 @@
from enum import Enum
class EpcFuel(Enum):
electricity_not_community = "electricity (not community)"
class EpcHeatingControls(Enum):
programmer_room_thermostat_trvs = "Programmer, room thermostat and TRVs"
class EpcHeatingSystems(Enum):
boiler_and_radiators_electric = "Boiler and radiators, electric"

85
backend/onboarders/parity.py
View file

@ -7,6 +7,7 @@ from backend.onboarders.mappings.age_band import parity_map as age_band_map
from backend.onboarders.mappings.built_form import parity_map as built_form_map
from backend.onboarders.epc_descriptions import EpcWallDescriptions, EpcConstructionAgeBand, EpcEfficiency, \
WALL_DESCRIPTION_EFFICIENCIES, EpcRoofDescriptions, resolve_roof_efficiency, EpcFloorDescriptions
from backend.onboarders.epc.placeholder import EpcFuel, EpcHeatingControls, EpcHeatingSystems
from backend.onboarders.mappings.as_built_wall_classifiers import AS_BUILT_WALL_CLASSIFIERS
from backend.onboarders.mappings.as_built_roof_classifiers import AS_BUILT_ROOF_CLASSIFIERS
from backend.onboarders.mappings.as_built_floor_classifiers import unknown_floor_as_built, unknown_floor_retrofitted, \
@ -456,13 +457,93 @@ data[["landlord_windows_description",
# Peform the remapping. The columns we wish to produce are the following:
# 1) landlord_windows_description
# 2) landlord_windows_efficiency
# 3) landlord_multi_glaze_proportion - maybe don't need to set this, same for glazing typd and area
# 3) landlord_multi_glaze_proportion - maybe don't need to store this, same for glazing type and area
# ------------ Heating ------------
agg = data.groupby(['Heating', 'Boiler Efficiency', 'Main Fuel', 'Controls Adequacy']).size().reset_index(name='counts')
agg = data.groupby(['Heating', 'Boiler Efficiency', 'Main Fuel']).size().reset_index(name='counts')
# We map to:
# 1) Heating description
# 2) Heating efficiency
# 3) Fuel type
# 4) Heating controls
heating_map = {
('Boilers', 'A', 'ElectricityNotCommunity', 'Optimal'): (
EpcHeatingSystems.boiler_and_radiators_electric, EpcEfficiency.VERY_POOR, EpcFuel.electricity_not_community,
EpcHeatingControls.programmer_room_thermostat_trvs
),
('Boilers', 'A', 'ElectricityNotCommunity', 'Sub Optimal'): None,
('Boilers', 'A', 'ElectricityNotCommunity', 'Top Spec'): None,
('Boilers', 'A', 'LPGNotCommunity', 'Optimal'): None,
('Boilers', 'A', 'MainsGasNotCommunity', 'Optimal'): None,
('Boilers', 'A', 'MainsGasNotCommunity', 'Sub Optimal'): None,
('Boilers', 'A', 'MainsGasNotCommunity', 'Top Spec'): None,
('Boilers', 'B', 'MainsGasNotCommunity', 'Optimal'): None,
('Boilers', 'B', 'MainsGasNotCommunity', 'Sub Optimal'): None,
('Boilers', 'B', 'MainsGasNotCommunity', 'Top Spec'): None,
('Boilers', 'C', 'ElectricityNotCommunity', 'Optimal'): None,
('Boilers', 'C', 'ElectricityNotCommunity', 'Sub Optimal'): None,
('Boilers', 'C', 'ElectricityNotCommunity', 'Top Spec'): None,
('Boilers', 'C', 'LPGNotCommunity', 'Optimal'): None,
('Boilers', 'C', 'LPGNotCommunity', 'Sub Optimal'): None,
('Boilers', 'C', 'MainsGasNotCommunity', 'Optimal'): None,
('Boilers', 'C', 'MainsGasNotCommunity', 'Sub Optimal'): None,
('Boilers', 'C', 'MainsGasNotCommunity', 'Top Spec'): None,
('Boilers', 'C', 'OilNotCommunity', 'Optimal'): None,
('Boilers', 'C', 'OilNotCommunity', 'Sub Optimal'): None,
('Boilers', 'C', 'OilNotCommunity', 'Top Spec'): None,
('Boilers', 'D', 'MainsGasNotCommunity', 'Optimal'): None,
('Boilers', 'D', 'MainsGasNotCommunity', 'Sub Optimal'): None,
('Boilers', 'D', 'MainsGasNotCommunity', 'Top Spec'): None,
('Boilers', 'E', 'ElectricityNotCommunity', 'Optimal'): None,
('Boilers', 'E', 'MainsGasNotCommunity', 'Optimal'): None,
('Boilers', 'E', 'MainsGasNotCommunity', 'Sub Optimal'): None,
('Boilers', 'E', 'MainsGasNotCommunity', 'Top Spec'): None,
('Boilers', 'E', 'OilNotCommunity', 'Optimal'): None,
('Boilers', 'E', 'OilNotCommunity', 'Sub Optimal'): None,
('Boilers', 'F', 'MainsGasNotCommunity', 'Optimal'): None,
('Boilers', 'F', 'MainsGasNotCommunity', 'Sub Optimal'): None,
('Boilers', 'F', 'MainsGasNotCommunity', 'Top Spec'): None,
('Boilers', 'G', 'MainsGasNotCommunity', 'Optimal'): None,
('Boilers', 'G', 'MainsGasNotCommunity', 'Sub Optimal'): None,
('Boilers', 'G', 'MainsGasNotCommunity', 'Top Spec'): None,
('Electric underfloor', 'A', 'ElectricityNotCommunity', 'Optimal'): None,
('Electric underfloor', 'A', 'ElectricityNotCommunity', 'Sub Optimal'): None,
('Electric underfloor', 'A', 'ElectricityNotCommunity', 'Top Spec'): None,
('Heat pumps (warm air)', 'A', 'ElectricityNotCommunity', 'Optimal'): None,
('Heat pumps (warm air)', 'A', 'ElectricityNotCommunity', 'Sub Optimal'): None,
('Heat pumps (wet)', 'A', 'ElectricityNotCommunity', 'Optimal'): None,
('Heat pumps (wet)', 'A', 'ElectricityNotCommunity', 'Sub Optimal'): None,
('Heat pumps (wet)', 'A', 'ElectricityNotCommunity', 'Top Spec'): None,
('Room heaters', 'A', 'ElectricityNotCommunity', 'Optimal'): None,
('Room heaters', 'A', 'ElectricityNotCommunity', 'Sub Optimal'): None,
('Room heaters', 'C', 'MainsGasNotCommunity', 'Sub Optimal'): None,
('Room heaters', 'F', 'MainsGasNotCommunity', 'Sub Optimal'): None,
('Room heaters', 'G', 'MainsGasNotCommunity', 'Optimal'): None,
('Room heaters', 'G', 'MainsGasNotCommunity', 'Sub Optimal'): None,
('Room heaters', 'G', 'SmokelessCoal', 'Sub Optimal'): None,
('Storage heaters', 'A', 'ElectricityNotCommunity', 'Optimal'): None,
('Storage heaters', 'A', 'ElectricityNotCommunity', 'Sub Optimal'): None,
('Warm Air (not heat pump)', 'G', 'ElectricityNotCommunity', 'Sub Optimal'): None,
('Warm Air (not heat pump)', 'G', 'MainsGasNotCommunity', 'Sub Optimal'): None
}
example = list(heating_map.keys())[0]
example_data = data[
(data["Heating"] == example[0]) & (data["Boiler Efficiency"] == example[1]) & (data["Main Fuel"] == example[2]) & (
data["Controls Adequacy"] == example[3])
]
example_data["UPRN"]
agg_tuples = {
(row['Heating'], row['Boiler Efficiency'], row['Main Fuel']): None for _, row in agg.iterrows()
}
epcs = pd.read_csv("/Users/khalimconn-kowlessar/Downloads/domestic-E08000003-Manchester/certificates.csv")
epcs[epcs["LODGEMENT_DATE"] > "2025-07-01"]["WINDOWS_DESCRIPTION"].value_counts()