mirror of
https://github.com/Hestia-Homes/Model.git
synced 2026-06-08 11:17:27 +00:00
deleted irrelevant tests for solar pv costs
This commit is contained in:
Khalim Conn-Kowlessar
parent
55d6139550
commit
04df5743c2
2 changed files with 51 additions and 1229 deletions
|
|
@ -1,944 +0,0 @@
|
|||
import pandas as pd
|
||||
import msgpack
|
||||
from datetime import datetime
|
||||
|
||||
from utils.s3 import read_dataframe_from_s3_parquet, read_from_s3
|
||||
from backend.Property import Property
|
||||
from recommendations.HeatingRecommender import HeatingRecommender
|
||||
from recommendations.Recommendations import Recommendations
|
||||
from etl.epc.Record import EPCRecord
|
||||
from etl.solar.SolarPhotoSupply import SolarPhotoSupply
|
||||
from backend.ml_models.api import ModelApi
|
||||
|
||||
|
||||
def find_examples():
|
||||
""" Some scrappy helper code to find EPC examples"""
|
||||
# Let's look for some testing data, where the only thing different pre and post is the installation of an
|
||||
# air source heat pump
|
||||
data = read_dataframe_from_s3_parquet(
|
||||
bucket_name="retrofit-data-dev",
|
||||
file_key="sap_change_model/2024-03-24-15-51-13/dataset_no_cleaning.parquet"
|
||||
)
|
||||
|
||||
# Firstly, take records where before there was no air source heat pump and afterwards there was
|
||||
data = data[
|
||||
data["has_air_source_heat_pump_ending"] & ~data["has_air_source_heat_pump"]
|
||||
]
|
||||
|
||||
# Start with a property that has a boiler
|
||||
data = data[data["has_boiler"]]
|
||||
|
||||
static_columns = [
|
||||
# Walls
|
||||
'walls_thermal_transmittance_ending',
|
||||
'is_filled_cavity_ending',
|
||||
'is_park_home_ending',
|
||||
'walls_insulation_thickness_ending',
|
||||
'external_insulation_ending',
|
||||
'internal_insulation_ending',
|
||||
# Floors
|
||||
# 'floor_thermal_transmittance_ending', # Don't subset on this, because it changes based on floor area
|
||||
'floor_insulation_thickness_ending',
|
||||
# Roof
|
||||
'roof_thermal_transmittance_ending',
|
||||
'is_at_rafters_ending',
|
||||
'roof_insulation_thickness_ending',
|
||||
# Hot water - air source heat pump will shange the hot water system (probably from whatever it was -> main)
|
||||
# 'heater_type_ending',
|
||||
# 'system_type_ending',
|
||||
# 'thermostat_characteristics_ending',
|
||||
# 'heating_scope_ending',
|
||||
# 'energy_recovery_ending',
|
||||
# 'hotwater_tariff_type_ending',
|
||||
# 'extra_features_ending',
|
||||
# 'chp_systems_ending',
|
||||
# 'distribution_system_ending',
|
||||
# 'no_system_present_ending',
|
||||
# 'appliance_ending',
|
||||
# Heating - Will change when installing an ASHP
|
||||
# 'has_radiators_ending',
|
||||
# 'has_fan_coil_units_ending',
|
||||
# 'has_pipes_in_screed_above_insulation_ending',
|
||||
# 'has_pipes_in_insulated_timber_floor_ending',
|
||||
# 'has_pipes_in_concrete_slab_ending',
|
||||
# 'has_boiler_ending',
|
||||
# 'has_air_source_heat_pump_ending', # We want the air source heat pump to change
|
||||
# 'has_room_heaters_ending',
|
||||
# 'has_electric_storage_heaters_ending',
|
||||
# 'has_warm_air_ending',
|
||||
# 'has_electric_underfloor_heating_ending',
|
||||
# 'has_electric_ceiling_heating_ending',
|
||||
# 'has_community_scheme_ending',
|
||||
# 'has_ground_source_heat_pump_ending',
|
||||
# 'has_no_system_present_ending',
|
||||
# 'has_portable_electric_heaters_ending',
|
||||
# 'has_water_source_heat_pump_ending',
|
||||
# 'has_electric_heat_pump_ending',
|
||||
# 'has_micro-cogeneration_ending',
|
||||
# 'has_solar_assisted_heat_pump_ending',
|
||||
# 'has_exhaust_source_heat_pump_ending',
|
||||
# 'has_community_heat_pump_ending',
|
||||
# 'has_electric_ending',
|
||||
# 'has_mains_gas_ending',
|
||||
# 'has_wood_logs_ending', 'has_coal_ending', 'has_oil_ending',
|
||||
# 'has_wood_pellets_ending', 'has_anthracite_ending', 'has_dual_fuel_mineral_and_wood_ending',
|
||||
# 'has_smokeless_fuel_ending', 'has_lpg_ending', 'has_b30k_ending', 'has_electricaire_ending',
|
||||
# 'has_assumed_for_most_rooms_ending', 'has_underfloor_heating_ending',
|
||||
# 'thermostatic_control_ending',
|
||||
# 'charging_system_ending',
|
||||
# 'switch_system_ending',
|
||||
# 'no_control_ending',
|
||||
# 'dhw_control_ending',
|
||||
# 'community_heating_ending',
|
||||
# 'multiple_room_thermostats_ending',
|
||||
# 'auxiliary_systems_ending',
|
||||
# 'trvs_ending',
|
||||
# 'rate_control_ending',
|
||||
# Window
|
||||
'glazing_type_ending',
|
||||
# Fuel - could change with ASHP
|
||||
# 'fuel_type_ending',
|
||||
# 'main-fuel_tariff_type_ending',
|
||||
# 'is_community_ending',
|
||||
# 'no_individual_heating_or_community_network_ending',
|
||||
# 'complex_fuel_type_ending',
|
||||
|
||||
'mechanical_ventilation_ending', 'secondheat_description_ending', 'glazed_type_ending',
|
||||
'multi_glaze_proportion_ending', 'low_energy_lighting_ending', 'number_open_fireplaces_ending',
|
||||
'solar_water_heating_flag_ending',
|
||||
'photo_supply_ending',
|
||||
'energy_tariff_ending',
|
||||
'extension_count_ending',
|
||||
'total_floor_area_ending',
|
||||
# 'hot_water_energy_eff_ending',
|
||||
'floor_energy_eff_ending',
|
||||
'windows_energy_eff_ending',
|
||||
'walls_energy_eff_ending',
|
||||
'sheating_energy_eff_ending',
|
||||
'roof_energy_eff_ending',
|
||||
# 'mainheat_energy_eff_ending',
|
||||
# 'mainheatc_energy_eff_ending',
|
||||
'lighting_energy_eff_ending',
|
||||
'number_habitable_rooms_ending',
|
||||
'number_heated_rooms_ending',
|
||||
]
|
||||
|
||||
for col in static_columns:
|
||||
|
||||
base_starting = col.split("_ending")[0]
|
||||
if base_starting + "_starting" in data.columns:
|
||||
starting_col = base_starting + "_starting"
|
||||
else:
|
||||
starting_col = base_starting
|
||||
# Filter
|
||||
print("Column: %s" % col)
|
||||
print("Starting size: %s" % data.shape[0])
|
||||
data = data[data[starting_col] == data[col]]
|
||||
print("Ending size: %s" % data.shape[0])
|
||||
|
||||
z = data[['uprn', col, starting_col]]
|
||||
|
||||
# Great example UPRNs
|
||||
# 100030969273
|
||||
# 10034685399 - Completely transforms the heating and hot water systems in the home (goes from oil -> electricity)
|
||||
# 100091200828 - goes from a liquid petroleum gas boiler to ashp
|
||||
|
||||
# Look for starting with a gas boiler
|
||||
data[
|
||||
data["has_boiler"] & data["has_radiators"] & data["has_mains_gas"] & ~data["has_boiler_ending"]
|
||||
]
|
||||
|
||||
# UPRN: 100011776843
|
||||
|
||||
|
||||
class TestAirSourceHeatPump:
|
||||
|
||||
def test_eligible(self):
|
||||
# This tests a house, which will be suitable for an air source heat pump
|
||||
epc_record = EPCRecord()
|
||||
epc_record.prepared_epc = {
|
||||
"county": "Broxbourne",
|
||||
"mainheat-energy-eff": "Good",
|
||||
"hot-water-energy-eff": "Good",
|
||||
"mainheatc-energy-eff": "Good",
|
||||
"number-heated-rooms": 5,
|
||||
"property-type": "House",
|
||||
"built-form": "Semi-Detached"
|
||||
}
|
||||
|
||||
property_instance = Property(id=0, address="fake", postcode="fake", epc_record=epc_record)
|
||||
property_instance.main_heating = {
|
||||
'original_description': 'Boiler and radiators, mains gas',
|
||||
"clean_description": "Boiler and radiators, mains gas",
|
||||
'has_radiators': True,
|
||||
'has_fan_coil_units': False, 'has_pipes_in_screed_above_insulation': False,
|
||||
'has_pipes_in_insulated_timber_floor': False, 'has_pipes_in_concrete_slab': False, 'has_boiler': True,
|
||||
'has_air_source_heat_pump': False,
|
||||
'has_room_heaters': False, 'has_electric_storage_heaters': False,
|
||||
'has_warm_air': False,
|
||||
'has_electric_underfloor_heating': False,
|
||||
'has_electric_ceiling_heating': False, 'has_community_scheme': False,
|
||||
'has_ground_source_heat_pump': False, 'has_no_system_present': False,
|
||||
'has_portable_electric_heaters': False,
|
||||
'has_water_source_heat_pump': False, 'has_electric': False,
|
||||
'has_mains_gas': True, 'has_wood_logs': False,
|
||||
'has_coal': False, 'has_oil': False, 'has_wood_pellets': False,
|
||||
'has_anthracite': False,
|
||||
'has_dual_fuel_mineral_and_wood': False, 'has_smokeless_fuel': False,
|
||||
'has_lpg': False, 'has_assumed': False,
|
||||
'has_electricaire': False, 'has_assumed_for_most_rooms': False,
|
||||
'has_underfloor_heating': False,
|
||||
"has_electric_heat_pumps": False,
|
||||
"has_micro-cogeneration": False
|
||||
}
|
||||
property_instance.main_fuel = {
|
||||
'original_description': 'mains gas (not community)', 'fuel_type': 'mains gas',
|
||||
'tariff_type': None,
|
||||
'is_community': False, 'no_individual_heating_or_community_network': False,
|
||||
'complex_fuel_type': None
|
||||
}
|
||||
property_instance.hotwater = {
|
||||
'original_description': 'From main system',
|
||||
'clean_description': 'From main system',
|
||||
'heater_type': None,
|
||||
'system_type': 'from main system',
|
||||
'thermostat_characteristics': None, 'heating_scope': None,
|
||||
'energy_recovery': None, 'tariff_type': None,
|
||||
'extra_features': None, 'chp_systems': None, 'distribution_system': None,
|
||||
'no_system_present': None,
|
||||
'assumed': False, "appliance": None
|
||||
}
|
||||
property_instance.main_heating_controls = {
|
||||
'original_description': 'Programmer, room thermostat and TRVs',
|
||||
'thermostatic_control': 'room thermostat', 'charging_system': None, 'switch_system': 'programmer',
|
||||
'no_control': None, 'dhw_control': None, 'community_heating': None, 'multiple_room_thermostats': False,
|
||||
'auxiliary_systems': None, 'trvs': 'trvs', 'rate_control': None
|
||||
|
||||
}
|
||||
|
||||
recommender = HeatingRecommender(property_instance=property_instance)
|
||||
|
||||
assert not recommender.heating_recommendations
|
||||
|
||||
recommender.recommend(phase=0)
|
||||
|
||||
assert recommender.recommendation is None
|
||||
|
||||
def test_air_source_heat_pump_gas_boiler_starting(self):
|
||||
starting_epc = {
|
||||
'low-energy-fixed-light-count': '', 'address': '430 Gidlow Lane', 'uprn-source': 'Energy Assessor',
|
||||
'floor-height': '2.62', 'heating-cost-potential': '599', 'unheated-corridor-length': '',
|
||||
'hot-water-cost-potential': '67', 'construction-age-band': 'England and Wales: 1950-1966',
|
||||
'potential-energy-rating': 'C', 'mainheat-energy-eff': 'Good', 'windows-env-eff': 'Good',
|
||||
'lighting-energy-eff': 'Very Good', 'environment-impact-potential': '72',
|
||||
'glazed-type': 'double glazing installed during or after 2002', 'heating-cost-current': '913',
|
||||
'address3': '', 'mainheatcont-description': 'Programmer, no room thermostat', 'sheating-energy-eff': 'N/A',
|
||||
'property-type': 'House', 'local-authority-label': 'Wigan', 'fixed-lighting-outlets-count': '9',
|
||||
'energy-tariff': 'Single', 'mechanical-ventilation': 'natural', 'hot-water-cost-current': '210',
|
||||
'county': '', 'postcode': 'WN6 8RG', 'solar-water-heating-flag': 'N', 'constituency': 'E14001039',
|
||||
'co2-emissions-potential': '2.6', 'number-heated-rooms': '4',
|
||||
'floor-description': 'Solid, no insulation (assumed)', 'energy-consumption-potential': '180',
|
||||
'local-authority': 'E08000010', 'built-form': 'Mid-Terrace', 'number-open-fireplaces': '0',
|
||||
'windows-description': 'Fully double glazed', 'glazed-area': 'Normal', 'inspection-date': '2022-02-15',
|
||||
'mains-gas-flag': 'Y', 'co2-emiss-curr-per-floor-area': '78', 'address1': '430 Gidlow Lane',
|
||||
'heat-loss-corridor': '', 'flat-storey-count': '', 'constituency-label': 'Wigan',
|
||||
'roof-energy-eff': 'Very Poor', 'total-floor-area': '80.0', 'building-reference-number': '10002334112',
|
||||
'environment-impact-current': '38', 'co2-emissions-current': '6.2',
|
||||
'roof-description': 'Pitched, no insulation (assumed)', 'floor-energy-eff': 'N/A',
|
||||
'number-habitable-rooms': '4', 'address2': '', 'hot-water-env-eff': 'Poor', 'posttown': 'WIGAN',
|
||||
'mainheatc-energy-eff': 'Very Poor', 'main-fuel': 'mains gas (not community)',
|
||||
'lighting-env-eff': 'Very Good', 'windows-energy-eff': 'Good', 'floor-env-eff': 'N/A',
|
||||
'sheating-env-eff': 'N/A', 'lighting-description': 'Low energy lighting in all fixed outlets',
|
||||
'roof-env-eff': 'Very Poor', 'walls-energy-eff': 'Average', 'photo-supply': '0.0',
|
||||
'lighting-cost-potential': '67', 'mainheat-env-eff': 'Good', 'multi-glaze-proportion': '100',
|
||||
'main-heating-controls': '', 'lodgement-datetime': '2022-02-23 16:39:41', 'flat-top-storey': '',
|
||||
'current-energy-rating': 'E', 'secondheat-description': 'Room heaters, mains gas',
|
||||
'walls-env-eff': 'Average', 'transaction-type': 'ECO assessment', 'uprn': '100011776843',
|
||||
'current-energy-efficiency': '45', 'energy-consumption-current': '441',
|
||||
'mainheat-description': 'Boiler and radiators, mains gas', 'lighting-cost-current': '67',
|
||||
'lodgement-date': '2022-02-23', 'extension-count': '1', 'mainheatc-env-eff': 'Very Poor',
|
||||
'lmk-key': '46cb404438a6d88ddff8965cab8b3027ec15c32d93e0b6a5f0381a5109b9bb0d', 'wind-turbine-count': '0',
|
||||
'tenure': 'Owner-occupied', 'floor-level': '', 'potential-energy-efficiency': '77',
|
||||
'hot-water-energy-eff': 'Poor', 'low-energy-lighting': '100',
|
||||
'walls-description': 'Cavity wall, filled cavity',
|
||||
'hotwater-description': 'From main system, no cylinder thermostat'
|
||||
}
|
||||
|
||||
ending_epc = {
|
||||
'low-energy-fixed-light-count': '', 'address': '430 Gidlow Lane', 'uprn-source': 'Energy Assessor',
|
||||
'floor-height': '2.62', 'heating-cost-potential': '803', 'unheated-corridor-length': '',
|
||||
'hot-water-cost-potential': '292', 'construction-age-band': 'England and Wales: 1950-1966',
|
||||
'potential-energy-rating': 'C', 'mainheat-energy-eff': 'Very Good', 'windows-env-eff': 'Good',
|
||||
'lighting-energy-eff': 'Very Good', 'environment-impact-potential': '78',
|
||||
'glazed-type': 'double glazing installed during or after 2002', 'heating-cost-current': '861',
|
||||
'address3': '', 'mainheatcont-description': 'Time and temperature zone control',
|
||||
'sheating-energy-eff': 'N/A', 'property-type': 'House', 'local-authority-label': 'Wigan',
|
||||
'fixed-lighting-outlets-count': '9', 'energy-tariff': 'Single', 'mechanical-ventilation': 'natural',
|
||||
'hot-water-cost-current': '434', 'county': '', 'postcode': 'WN6 8RG', 'solar-water-heating-flag': 'N',
|
||||
'constituency': 'E14001039', 'co2-emissions-potential': '2.0', 'number-heated-rooms': '4',
|
||||
'floor-description': 'Solid, no insulation (assumed)', 'energy-consumption-potential': '147',
|
||||
'local-authority': 'E08000010', 'built-form': 'Mid-Terrace', 'number-open-fireplaces': '0',
|
||||
'windows-description': 'Fully double glazed', 'glazed-area': 'Normal', 'inspection-date': '2022-05-11',
|
||||
'mains-gas-flag': 'Y', 'co2-emiss-curr-per-floor-area': '43', 'address1': '430 Gidlow Lane',
|
||||
'heat-loss-corridor': '', 'flat-storey-count': '', 'constituency-label': 'Wigan',
|
||||
'roof-energy-eff': 'Very Poor', 'total-floor-area': '80.0', 'building-reference-number': '10002334112',
|
||||
'environment-impact-current': '63', 'co2-emissions-current': '3.4',
|
||||
'roof-description': 'Pitched, no insulation (assumed)', 'floor-energy-eff': 'N/A',
|
||||
'number-habitable-rooms': '4', 'address2': '', 'hot-water-env-eff': 'Poor', 'posttown': 'WIGAN',
|
||||
'mainheatc-energy-eff': 'Very Good', 'main-fuel': 'electricity (not community)',
|
||||
'lighting-env-eff': 'Very Good', 'windows-energy-eff': 'Good', 'floor-env-eff': 'N/A',
|
||||
'sheating-env-eff': 'N/A', 'lighting-description': 'Low energy lighting in all fixed outlets',
|
||||
'roof-env-eff': 'Very Poor', 'walls-energy-eff': 'Average', 'photo-supply': '0.0',
|
||||
'lighting-cost-potential': '67', 'mainheat-env-eff': 'Very Good', 'multi-glaze-proportion': '100',
|
||||
'main-heating-controls': '', 'lodgement-datetime': '2022-06-06 13:01:20', 'flat-top-storey': '',
|
||||
'current-energy-rating': 'E', 'secondheat-description': 'Room heaters, mains gas',
|
||||
'walls-env-eff': 'Average', 'transaction-type': 'ECO assessment', 'uprn': '100011776843',
|
||||
'current-energy-efficiency': '53', 'energy-consumption-current': '252',
|
||||
'mainheat-description': 'Air source heat pump, radiators, electric', 'lighting-cost-current': '67',
|
||||
'lodgement-date': '2022-06-06', 'extension-count': '1', 'mainheatc-env-eff': 'Very Good',
|
||||
'lmk-key': '672d5947f3d4a55d97255af71651d6127a939418fa66a687070af77e0ba90df2', 'wind-turbine-count': '0',
|
||||
'tenure': 'Owner-occupied', 'floor-level': '', 'potential-energy-efficiency': '70',
|
||||
'hot-water-energy-eff': 'Very Poor', 'low-energy-lighting': '100',
|
||||
'walls-description': 'Cavity wall, filled cavity', 'hotwater-description': 'From main system'
|
||||
}
|
||||
|
||||
# differences = []
|
||||
# for k, v in ending_epc.items():
|
||||
# if v != starting_epc[k]:
|
||||
# differences.append(
|
||||
# {
|
||||
# "variable": k,
|
||||
# "starting_value": starting_epc[k],
|
||||
# "ending_value": v
|
||||
# }
|
||||
# )
|
||||
# differences = pd.DataFrame(differences)
|
||||
#
|
||||
# diffs = differences[
|
||||
# differences["variable"].isin(
|
||||
# [
|
||||
# "mainheat-energy-eff",
|
||||
# "mainheatcont-description",
|
||||
# "mainheatc-energy-eff",
|
||||
# "main-fuel",
|
||||
# "mainheat-env-eff",
|
||||
# "mainheat-description",
|
||||
# "hot-water-energy-eff",
|
||||
# "hotwater-description"
|
||||
# ]
|
||||
# )
|
||||
# ]
|
||||
|
||||
cleaning_data = read_dataframe_from_s3_parquet(
|
||||
bucket_name="retrofit-data-dev", file_key="sap_change_model/cleaning_dataset.parquet",
|
||||
)
|
||||
|
||||
cleaned = read_from_s3(
|
||||
s3_file_name="cleaned_epc_data/cleaned.bson",
|
||||
bucket_name="retrofit-data-dev"
|
||||
)
|
||||
cleaned = msgpack.unpackb(cleaned, raw=False)
|
||||
|
||||
photo_supply_lookup, floor_area_decile_thresholds = SolarPhotoSupply.load(bucket="retrofit-data-dev")
|
||||
|
||||
epc = EPCRecord(
|
||||
epc_records={
|
||||
'original_epc': starting_epc,
|
||||
'full_sap_epc': {},
|
||||
'old_data': []
|
||||
},
|
||||
run_mode="newdata",
|
||||
cleaning_data=cleaning_data
|
||||
)
|
||||
|
||||
home = Property(
|
||||
id=0,
|
||||
address="",
|
||||
postcode="",
|
||||
epc_record=epc,
|
||||
already_installed={},
|
||||
non_invasive_recommendations={},
|
||||
)
|
||||
home.in_conservation_area = False
|
||||
home.is_listed = False
|
||||
home.is_heritage = False
|
||||
home.restricted_measures = True
|
||||
home.get_components(
|
||||
cleaned=cleaned,
|
||||
photo_supply_lookup=photo_supply_lookup,
|
||||
floor_area_decile_thresholds=floor_area_decile_thresholds
|
||||
)
|
||||
|
||||
recommender = HeatingRecommender(property_instance=home)
|
||||
recommender.recommend_air_source_heat_pump(phase=0, has_cavity_or_loft_recommendations=False)
|
||||
|
||||
# Patch - for this property, the hot water energy efficiency is very poor. it's not clear why this is,
|
||||
# but we insert this for this test
|
||||
recommender.heating_recommendations[0]["simulation_config"]["hot_water_energy_eff_ending"] = "Very Poor"
|
||||
|
||||
property_recommendations = Recommendations.insert_temp_recommendation_id([recommender.heating_recommendations])
|
||||
|
||||
assert len(recommender.heating_recommendations) == 1
|
||||
|
||||
home.create_base_difference_epc_record(cleaned_lookup=cleaned)
|
||||
home.adjust_difference_record_with_recommendations(
|
||||
property_recommendations, []
|
||||
)
|
||||
|
||||
scoring_data = pd.DataFrame(home.recommendations_scoring_data).drop(
|
||||
columns=["rdsap_change", "heat_demand_change", "carbon_change", "sap_ending", "heat_demand_ending",
|
||||
"carbon_ending"]
|
||||
)
|
||||
|
||||
model_api = ModelApi(portfolio_id="ashp-test", timestamp=datetime.now().isoformat())
|
||||
model_api.MODEL_PREFIXES = ["sap_change_predictions"]
|
||||
|
||||
predictions_dict = model_api.predict_all(
|
||||
df=scoring_data,
|
||||
bucket="retrofit-data-dev",
|
||||
prediction_buckets={
|
||||
"sap_change_predictions": "retrofit-sap-predictions-dev",
|
||||
}
|
||||
)
|
||||
assert predictions_dict["sap_change_predictions"]["predictions"].values[0] == 52.2
|
||||
|
||||
def test_air_source_heat_pump_gas_boiler_starting_2(self):
|
||||
"""
|
||||
This property seems to have miniscule movement in SAP - just 2 poins
|
||||
:return:
|
||||
"""
|
||||
|
||||
starting_epc = {
|
||||
'low-energy-fixed-light-count': '', 'address': '31 Whinney Hill Park', 'uprn-source': 'Energy Assessor',
|
||||
'floor-height': '2.3', 'heating-cost-potential': '394', 'unheated-corridor-length': '',
|
||||
'hot-water-cost-potential': '48', 'construction-age-band': 'England and Wales: 1967-1975',
|
||||
'potential-energy-rating': 'B', 'mainheat-energy-eff': 'Good', 'windows-env-eff': 'Average',
|
||||
'lighting-energy-eff': 'Good', 'environment-impact-potential': '87',
|
||||
'glazed-type': 'double glazing, unknown install date', 'heating-cost-current': '487', 'address3': '',
|
||||
'mainheatcont-description': 'Programmer, room thermostat and TRVs', 'sheating-energy-eff': 'N/A',
|
||||
'property-type': 'Bungalow', 'local-authority-label': 'Calderdale', 'fixed-lighting-outlets-count': '5',
|
||||
'energy-tariff': 'Single', 'mechanical-ventilation': 'natural', 'hot-water-cost-current': '86',
|
||||
'county': '', 'postcode': 'HD6 2PX', 'solar-water-heating-flag': 'N', 'constituency': 'E14000614',
|
||||
'co2-emissions-potential': '0.8', 'number-heated-rooms': '2',
|
||||
'floor-description': 'Solid, no insulation (assumed)', 'energy-consumption-potential': '105',
|
||||
'local-authority': 'E08000033', 'built-form': 'End-Terrace', 'number-open-fireplaces': '0',
|
||||
'windows-description': 'Fully double glazed', 'glazed-area': 'Normal', 'inspection-date': '2021-11-25',
|
||||
'mains-gas-flag': 'Y', 'co2-emiss-curr-per-floor-area': '56', 'address1': '31 Whinney Hill Park',
|
||||
'heat-loss-corridor': '', 'flat-storey-count': '', 'constituency-label': 'Calder Valley',
|
||||
'roof-energy-eff': 'Good', 'total-floor-area': '44.0', 'building-reference-number': '10001772583',
|
||||
'environment-impact-current': '62', 'co2-emissions-current': '2.5',
|
||||
'roof-description': 'Pitched, 250 mm loft insulation', 'floor-energy-eff': 'N/A',
|
||||
'number-habitable-rooms': '2', 'address2': '', 'hot-water-env-eff': 'Good', 'posttown': 'BRIGHOUSE',
|
||||
'mainheatc-energy-eff': 'Good', 'main-fuel': 'mains gas (not community)', 'lighting-env-eff': 'Good',
|
||||
'windows-energy-eff': 'Average', 'floor-env-eff': 'N/A', 'sheating-env-eff': 'N/A',
|
||||
'lighting-description': 'Low energy lighting in 60% of fixed outlets', 'roof-env-eff': 'Good',
|
||||
'walls-energy-eff': 'Average', 'photo-supply': '0.0', 'lighting-cost-potential': '40',
|
||||
'mainheat-env-eff': 'Good', 'multi-glaze-proportion': '100', 'main-heating-controls': '',
|
||||
'lodgement-datetime': '2021-11-25 11:39:35', 'flat-top-storey': '', 'current-energy-rating': 'D',
|
||||
'secondheat-description': 'Room heaters, electric', 'walls-env-eff': 'Average',
|
||||
'transaction-type': 'rental', 'uprn': '100051304421', 'current-energy-efficiency': '62',
|
||||
'energy-consumption-current': '322', 'mainheat-description': 'Boiler and radiators, mains gas',
|
||||
'lighting-cost-current': '56', 'lodgement-date': '2021-11-25', 'extension-count': '0',
|
||||
'mainheatc-env-eff': 'Good', 'lmk-key': '077f70657e9c3f1f0ce5392798398398616b159493b2a8ca2338961596631c27',
|
||||
'wind-turbine-count': '0', 'tenure': 'Rented (social)', 'floor-level': '',
|
||||
'potential-energy-efficiency': '86', 'hot-water-energy-eff': 'Good', 'low-energy-lighting': '60',
|
||||
'walls-description': 'Cavity wall, filled cavity', 'hotwater-description': 'From main system'
|
||||
}
|
||||
|
||||
ending_epc = {
|
||||
'low-energy-fixed-light-count': '', 'address': '31 Whinney Hill Park',
|
||||
'uprn-source': 'Energy Assessor', 'floor-height': '2.3', 'heating-cost-potential': '277',
|
||||
'unheated-corridor-length': '', 'hot-water-cost-potential': '266',
|
||||
'construction-age-band': 'England and Wales: 1967-1975', 'potential-energy-rating': 'B',
|
||||
'mainheat-energy-eff': 'Very Good', 'windows-env-eff': 'Average', 'lighting-energy-eff': 'Good',
|
||||
'environment-impact-potential': '90', 'glazed-type': 'double glazing, unknown install date',
|
||||
'heating-cost-current': '331', 'address3': '',
|
||||
'mainheatcont-description': 'Programmer and room thermostat', 'sheating-energy-eff': 'N/A',
|
||||
'property-type': 'Bungalow', 'local-authority-label': 'Calderdale',
|
||||
'fixed-lighting-outlets-count': '5', 'energy-tariff': 'Single',
|
||||
'mechanical-ventilation': 'natural', 'hot-water-cost-current': '404', 'county': '',
|
||||
'postcode': 'HD6 2PX', 'solar-water-heating-flag': 'N', 'constituency': 'E14000614',
|
||||
'co2-emissions-potential': '0.7', 'number-heated-rooms': '2',
|
||||
'floor-description': 'Solid, no insulation (assumed)', 'energy-consumption-potential': '92',
|
||||
'local-authority': 'E08000033', 'built-form': 'End-Terrace', 'number-open-fireplaces': '0',
|
||||
'windows-description': 'Fully double glazed', 'glazed-area': 'Normal',
|
||||
'inspection-date': '2021-11-25', 'mains-gas-flag': 'Y', 'co2-emiss-curr-per-floor-area': '48',
|
||||
'address1': '31 Whinney Hill Park', 'heat-loss-corridor': '', 'flat-storey-count': '',
|
||||
'constituency-label': 'Calder Valley', 'roof-energy-eff': 'Good', 'total-floor-area': '44.0',
|
||||
'building-reference-number': '10001772583', 'environment-impact-current': '68',
|
||||
'co2-emissions-current': '2.1', 'roof-description': 'Pitched, 250 mm loft insulation',
|
||||
'floor-energy-eff': 'N/A', 'number-habitable-rooms': '2', 'address2': '',
|
||||
'hot-water-env-eff': 'Poor', 'posttown': 'BRIGHOUSE', 'mainheatc-energy-eff': 'Average',
|
||||
'main-fuel': 'electricity (not community)', 'lighting-env-eff': 'Good',
|
||||
'windows-energy-eff': 'Average', 'floor-env-eff': 'N/A', 'sheating-env-eff': 'N/A',
|
||||
'lighting-description': 'Low energy lighting in 60% of fixed outlets', 'roof-env-eff': 'Good',
|
||||
'walls-energy-eff': 'Average', 'photo-supply': '0.0', 'lighting-cost-potential': '40',
|
||||
'mainheat-env-eff': 'Very Good', 'multi-glaze-proportion': '100', 'main-heating-controls': '',
|
||||
'lodgement-datetime': '2022-03-23 16:06:21', 'flat-top-storey': '', 'current-energy-rating': 'D',
|
||||
'secondheat-description': 'Room heaters, electric', 'walls-env-eff': 'Average',
|
||||
'transaction-type': 'rental', 'uprn': '100051304421', 'current-energy-efficiency': '64',
|
||||
'energy-consumption-current': '283',
|
||||
'mainheat-description': 'Air source heat pump, radiators, electric',
|
||||
'lighting-cost-current': '57', 'lodgement-date': '2022-03-23', 'extension-count': '0',
|
||||
'mainheatc-env-eff': 'Average',
|
||||
'lmk-key': '6296248141447b53426a40f1c39da17dad5f4786485db55ee38737891111a4d4',
|
||||
'wind-turbine-count': '0', 'tenure': 'Rented (social)', 'floor-level': '',
|
||||
'potential-energy-efficiency': '89', 'hot-water-energy-eff': 'Very Poor',
|
||||
'low-energy-lighting': '60', 'walls-description': 'Cavity wall, filled cavity',
|
||||
'hotwater-description': 'From main system'
|
||||
}
|
||||
|
||||
# differences = []
|
||||
# for k, v in ending_epc.items():
|
||||
# if v != starting_epc[k]:
|
||||
# differences.append(
|
||||
# {
|
||||
# "variable": k,
|
||||
# "starting_value": starting_epc[k],
|
||||
# "ending_value": v
|
||||
# }
|
||||
# )
|
||||
# differences = pd.DataFrame(differences)
|
||||
#
|
||||
# diffs = differences[
|
||||
# differences["variable"].isin(
|
||||
# [
|
||||
# "mainheat-energy-eff",
|
||||
# "mainheatcont-description",
|
||||
# "mainheatc-energy-eff",
|
||||
# "main-fuel",
|
||||
# "mainheat-env-eff",
|
||||
# "mainheat-description",
|
||||
# "hot-water-energy-eff",
|
||||
# "hotwater-description"
|
||||
# ]
|
||||
# )
|
||||
# ]
|
||||
|
||||
cleaning_data = read_dataframe_from_s3_parquet(
|
||||
bucket_name="retrofit-data-dev", file_key="sap_change_model/cleaning_dataset.parquet",
|
||||
)
|
||||
|
||||
cleaned = read_from_s3(
|
||||
s3_file_name="cleaned_epc_data/cleaned.bson",
|
||||
bucket_name="retrofit-data-dev"
|
||||
)
|
||||
cleaned = msgpack.unpackb(cleaned, raw=False)
|
||||
|
||||
photo_supply_lookup, floor_area_decile_thresholds = SolarPhotoSupply.load(bucket="retrofit-data-dev")
|
||||
|
||||
epc = EPCRecord(
|
||||
epc_records={
|
||||
'original_epc': starting_epc,
|
||||
'full_sap_epc': {},
|
||||
'old_data': []
|
||||
},
|
||||
run_mode="newdata",
|
||||
cleaning_data=cleaning_data
|
||||
)
|
||||
|
||||
home = Property(
|
||||
id=0,
|
||||
address="",
|
||||
postcode="",
|
||||
epc_record=epc,
|
||||
already_installed={},
|
||||
non_invasive_recommendations={},
|
||||
)
|
||||
home.in_conservation_area = False
|
||||
home.is_listed = False
|
||||
home.is_heritage = False
|
||||
home.restricted_measures = True
|
||||
home.get_components(
|
||||
cleaned=cleaned,
|
||||
photo_supply_lookup=photo_supply_lookup,
|
||||
floor_area_decile_thresholds=floor_area_decile_thresholds
|
||||
)
|
||||
|
||||
recommender = HeatingRecommender(property_instance=home)
|
||||
recommender.recommend_air_source_heat_pump(phase=0, has_cavity_or_loft_recommendations=False)
|
||||
property_recommendations = Recommendations.insert_temp_recommendation_id([recommender.heating_recommendations])
|
||||
|
||||
assert len(recommender.heating_recommendations) == 1
|
||||
|
||||
home.create_base_difference_epc_record(cleaned_lookup=cleaned)
|
||||
home.adjust_difference_record_with_recommendations(
|
||||
property_recommendations, []
|
||||
)
|
||||
|
||||
scoring_data = pd.DataFrame(home.recommendations_scoring_data).drop(
|
||||
columns=["rdsap_change", "heat_demand_change", "carbon_change", "sap_ending", "heat_demand_ending",
|
||||
"carbon_ending"]
|
||||
)
|
||||
|
||||
model_api = ModelApi(portfolio_id="ashp-test", timestamp=datetime.now().isoformat())
|
||||
model_api.MODEL_PREFIXES = ["sap_change_predictions"]
|
||||
|
||||
predictions_dict = model_api.predict_all(
|
||||
df=scoring_data,
|
||||
bucket="retrofit-data-dev",
|
||||
prediction_buckets={
|
||||
"sap_change_predictions": "retrofit-sap-predictions-dev",
|
||||
}
|
||||
)
|
||||
assert predictions_dict["sap_change_predictions"]["predictions"].values[0] == 69.3
|
||||
|
||||
# In actuality with this property, the heating controls get downgraded, so we test a manual patch of this
|
||||
patched_simulation_config = {
|
||||
'mainheat_energy_eff_ending': "Very Good",
|
||||
'hot_water_energy_eff_ending': 'Very Poor',
|
||||
'has_boiler_ending': False,
|
||||
'has_air_source_heat_pump_ending': True,
|
||||
'has_electric_ending': True,
|
||||
'has_mains_gas_ending': False,
|
||||
'fuel_type_ending': 'electricity',
|
||||
'trvs_ending': None,
|
||||
"mainheatc_energy_eff_ending": 'Average'
|
||||
}
|
||||
|
||||
# PATCHING
|
||||
property_recommendations_patch = Recommendations.insert_temp_recommendation_id(
|
||||
[recommender.heating_recommendations]
|
||||
)
|
||||
property_recommendations_patch[0][0]["simulation_config"] = patched_simulation_config
|
||||
|
||||
home.create_base_difference_epc_record(cleaned_lookup=cleaned)
|
||||
home.adjust_difference_record_with_recommendations(
|
||||
property_recommendations_patch, []
|
||||
)
|
||||
|
||||
scoring_data_patch = pd.DataFrame(home.recommendations_scoring_data).drop(
|
||||
columns=["rdsap_change", "heat_demand_change", "carbon_change", "sap_ending", "heat_demand_ending",
|
||||
"carbon_ending"]
|
||||
)
|
||||
|
||||
model_api = ModelApi(portfolio_id="ashp-test", timestamp=datetime.now().isoformat())
|
||||
model_api.MODEL_PREFIXES = ["sap_change_predictions"]
|
||||
|
||||
predictions_dict_patch = model_api.predict_all(
|
||||
df=scoring_data_patch,
|
||||
bucket="retrofit-data-dev",
|
||||
prediction_buckets={
|
||||
"sap_change_predictions": "retrofit-sap-predictions-dev",
|
||||
}
|
||||
)
|
||||
# The error is only 0.3, so the model is working
|
||||
assert predictions_dict_patch["sap_change_predictions"]["predictions"].values[0] == 64.3
|
||||
assert ending_epc["current-energy-efficiency"] == '64'
|
||||
|
||||
def test_air_source_heat_pump_lpg_boiler(self):
|
||||
starting_epc = {
|
||||
'low-energy-fixed-light-count': '', 'address': 'Holly Lodge, The Drive, Perry',
|
||||
'uprn-source': 'Energy Assessor', 'floor-height': '2.8', 'heating-cost-potential': '1628',
|
||||
'unheated-corridor-length': '', 'hot-water-cost-potential': '175',
|
||||
'construction-age-band': 'England and Wales: 1950-1966', 'potential-energy-rating': 'D',
|
||||
'mainheat-energy-eff': 'Poor', 'windows-env-eff': 'Average', 'lighting-energy-eff': 'Average',
|
||||
'environment-impact-potential': '70', 'glazed-type': 'double glazing, unknown install date',
|
||||
'heating-cost-current': '2158', 'address3': 'Perry',
|
||||
'mainheatcont-description': 'No time or thermostatic control of room temperature',
|
||||
'sheating-energy-eff': 'N/A', 'property-type': 'Bungalow', 'local-authority-label': 'Huntingdonshire',
|
||||
'fixed-lighting-outlets-count': '12', 'energy-tariff': 'Single', 'mechanical-ventilation': 'natural',
|
||||
'hot-water-cost-current': '257', 'county': 'Cambridgeshire', 'postcode': 'PE28 0SX',
|
||||
'solar-water-heating-flag': 'N', 'constituency': 'E14000757', 'co2-emissions-potential': '3.3',
|
||||
'number-heated-rooms': '5', 'floor-description': 'Solid, no insulation (assumed)',
|
||||
'energy-consumption-potential': '128', 'local-authority': 'E07000011', 'built-form': 'Semi-Detached',
|
||||
'number-open-fireplaces': '0', 'windows-description': 'Fully double glazed', 'glazed-area': 'Normal',
|
||||
'inspection-date': '2023-08-31', 'mains-gas-flag': 'N', 'co2-emiss-curr-per-floor-area': '51',
|
||||
'address1': 'Holly Lodge', 'heat-loss-corridor': '', 'flat-storey-count': '',
|
||||
'constituency-label': 'Huntingdon', 'roof-energy-eff': 'Good', 'total-floor-area': '117.0',
|
||||
'building-reference-number': '10005199915', 'environment-impact-current': '50',
|
||||
'co2-emissions-current': '5.9', 'roof-description': 'Pitched, 270 mm loft insulation',
|
||||
'floor-energy-eff': 'N/A', 'number-habitable-rooms': '5', 'address2': 'The Drive',
|
||||
'hot-water-env-eff': 'Good', 'posttown': 'HUNTINGDON', 'mainheatc-energy-eff': 'Very Poor',
|
||||
'main-fuel': 'LPG (not community)', 'lighting-env-eff': 'Average', 'windows-energy-eff': 'Average',
|
||||
'floor-env-eff': 'N/A', 'sheating-env-eff': 'N/A',
|
||||
'lighting-description': 'Low energy lighting in 33% of fixed outlets', 'roof-env-eff': 'Good',
|
||||
'walls-energy-eff': 'Average', 'photo-supply': '0.0', 'lighting-cost-potential': '166',
|
||||
'mainheat-env-eff': 'Good', 'multi-glaze-proportion': '100', 'main-heating-controls': '',
|
||||
'lodgement-datetime': '2023-10-30 13:46:54', 'flat-top-storey': '', 'current-energy-rating': 'F',
|
||||
'secondheat-description': 'Room heaters, electric', 'walls-env-eff': 'Average',
|
||||
'transaction-type': 'ECO assessment', 'uprn': '100091200828', 'current-energy-efficiency': '32',
|
||||
'energy-consumption-current': '243', 'mainheat-description': 'Boiler and radiators, LPG',
|
||||
'lighting-cost-current': '277', 'lodgement-date': '2023-10-30', 'extension-count': '0',
|
||||
'mainheatc-env-eff': 'Very Poor',
|
||||
'lmk-key': 'f1d3bd4b8b50bc9b006231ccb158537c408523b748b3f4ef7e98cd03b144afa5', 'wind-turbine-count': '0',
|
||||
'tenure': 'Owner-occupied', 'floor-level': '', 'potential-energy-efficiency': '56',
|
||||
'hot-water-energy-eff': 'Poor', 'low-energy-lighting': '33',
|
||||
'walls-description': 'Cavity wall, filled cavity', 'hotwater-description': 'From main system'
|
||||
}
|
||||
|
||||
ending_epc = {
|
||||
'low-energy-fixed-light-count': '', 'address': 'Holly Lodge, The Drive, Perry',
|
||||
'uprn-source': 'Energy Assessor', 'floor-height': '2.8', 'heating-cost-potential': '917',
|
||||
'unheated-corridor-length': '', 'hot-water-cost-potential': '328',
|
||||
'construction-age-band': 'England and Wales: 1950-1966', 'potential-energy-rating': 'A',
|
||||
'mainheat-energy-eff': 'Very Good', 'windows-env-eff': 'Average', 'lighting-energy-eff': 'Average',
|
||||
'environment-impact-potential': '96', 'glazed-type': 'double glazing, unknown install date',
|
||||
'heating-cost-current': '1098', 'address3': 'Perry',
|
||||
'mainheatcont-description': 'Programmer, TRVs and bypass', 'sheating-energy-eff': 'N/A',
|
||||
'property-type': 'Bungalow', 'local-authority-label': 'Huntingdonshire',
|
||||
'fixed-lighting-outlets-count': '12', 'energy-tariff': 'Single', 'mechanical-ventilation': 'natural',
|
||||
'hot-water-cost-current': '328', 'county': 'Cambridgeshire', 'postcode': 'PE28 0SX',
|
||||
'solar-water-heating-flag': 'N', 'constituency': 'E14000757', 'co2-emissions-potential': '0.3',
|
||||
'number-heated-rooms': '5', 'floor-description': 'Solid, no insulation (assumed)',
|
||||
'energy-consumption-potential': '16', 'local-authority': 'E07000011', 'built-form': 'Semi-Detached',
|
||||
'number-open-fireplaces': '0', 'windows-description': 'Fully double glazed', 'glazed-area': 'Normal',
|
||||
'inspection-date': '2023-10-05', 'mains-gas-flag': 'N', 'co2-emiss-curr-per-floor-area': '6',
|
||||
'address1': 'Holly Lodge', 'heat-loss-corridor': '', 'flat-storey-count': '',
|
||||
'constituency-label': 'Huntingdon', 'roof-energy-eff': 'Good', 'total-floor-area': '117.0',
|
||||
'building-reference-number': '10005199915', 'environment-impact-current': '92',
|
||||
'co2-emissions-current': '0.7', 'roof-description': 'Pitched, 270 mm loft insulation',
|
||||
'floor-energy-eff': 'N/A', 'number-habitable-rooms': '5', 'address2': 'The Drive',
|
||||
'hot-water-env-eff': 'Very Good', 'posttown': 'HUNTINGDON', 'mainheatc-energy-eff': 'Average',
|
||||
'main-fuel': 'electricity (not community)', 'lighting-env-eff': 'Average', 'windows-energy-eff': 'Average',
|
||||
'floor-env-eff': 'N/A', 'sheating-env-eff': 'N/A',
|
||||
'lighting-description': 'Low energy lighting in 33% of fixed outlets', 'roof-env-eff': 'Good',
|
||||
'walls-energy-eff': 'Average', 'photo-supply': '', 'lighting-cost-potential': '166',
|
||||
'mainheat-env-eff': 'Very Good', 'multi-glaze-proportion': '100', 'main-heating-controls': '',
|
||||
'lodgement-datetime': '2023-11-01 16:29:16', 'flat-top-storey': '', 'current-energy-rating': 'A',
|
||||
'secondheat-description': 'Room heaters, electric', 'walls-env-eff': 'Average',
|
||||
'transaction-type': 'ECO assessment', 'uprn': '100091200828', 'current-energy-efficiency': '92',
|
||||
'energy-consumption-current': '37', 'mainheat-description': 'Air source heat pump, radiators, electric',
|
||||
'lighting-cost-current': '277', 'lodgement-date': '2023-11-01', 'extension-count': '0',
|
||||
'mainheatc-env-eff': 'Average',
|
||||
'lmk-key': 'cb7f2838b727907767c8c2a385cd22f722b1e4745463391d910d228e52124515', 'wind-turbine-count': '0',
|
||||
'tenure': 'Owner-occupied', 'floor-level': '', 'potential-energy-efficiency': '95',
|
||||
'hot-water-energy-eff': 'Good', 'low-energy-lighting': '33',
|
||||
'walls-description': 'Cavity wall, filled cavity', 'hotwater-description': 'From main system'
|
||||
}
|
||||
|
||||
cleaning_data = read_dataframe_from_s3_parquet(
|
||||
bucket_name="retrofit-data-dev", file_key="sap_change_model/cleaning_dataset.parquet",
|
||||
)
|
||||
|
||||
cleaned = read_from_s3(
|
||||
s3_file_name="cleaned_epc_data/cleaned.bson",
|
||||
bucket_name="retrofit-data-dev"
|
||||
)
|
||||
cleaned = msgpack.unpackb(cleaned, raw=False)
|
||||
|
||||
photo_supply_lookup, floor_area_decile_thresholds = SolarPhotoSupply.load(bucket="retrofit-data-dev")
|
||||
|
||||
epc = EPCRecord(
|
||||
epc_records={
|
||||
'original_epc': starting_epc,
|
||||
'full_sap_epc': {},
|
||||
'old_data': []
|
||||
},
|
||||
run_mode="newdata",
|
||||
cleaning_data=cleaning_data
|
||||
)
|
||||
|
||||
home = Property(
|
||||
id=0,
|
||||
address="",
|
||||
postcode="",
|
||||
epc_record=epc,
|
||||
already_installed={},
|
||||
non_invasive_recommendations={},
|
||||
)
|
||||
home.in_conservation_area = False
|
||||
home.is_listed = False
|
||||
home.is_heritage = False
|
||||
home.restricted_measures = True
|
||||
home.get_components(
|
||||
cleaned=cleaned,
|
||||
photo_supply_lookup=photo_supply_lookup,
|
||||
floor_area_decile_thresholds=floor_area_decile_thresholds
|
||||
)
|
||||
|
||||
recommender = HeatingRecommender(property_instance=home)
|
||||
recommender.recommend_air_source_heat_pump(phase=0, has_cavity_or_loft_recommendations=False)
|
||||
property_recommendations = Recommendations.insert_temp_recommendation_id([recommender.heating_recommendations])
|
||||
|
||||
assert len(recommender.heating_recommendations) == 1
|
||||
|
||||
home.create_base_difference_epc_record(cleaned_lookup=cleaned)
|
||||
home.adjust_difference_record_with_recommendations(
|
||||
property_recommendations, []
|
||||
)
|
||||
|
||||
scoring_data = pd.DataFrame(home.recommendations_scoring_data).drop(
|
||||
columns=["rdsap_change", "heat_demand_change", "carbon_change", "sap_ending", "heat_demand_ending",
|
||||
"carbon_ending"]
|
||||
)
|
||||
|
||||
model_api = ModelApi(portfolio_id="ashp-test", timestamp=datetime.now().isoformat())
|
||||
model_api.MODEL_PREFIXES = ["sap_change_predictions"]
|
||||
|
||||
predictions_dict = model_api.predict_all(
|
||||
df=scoring_data,
|
||||
bucket="retrofit-data-dev",
|
||||
prediction_buckets={
|
||||
"sap_change_predictions": "retrofit-sap-predictions-dev",
|
||||
}
|
||||
)
|
||||
# We predict a huge uplift but not quite as much as the EPC, due to some distinct differences between our
|
||||
# recommendation and the EPC
|
||||
assert predictions_dict["sap_change_predictions"]["predictions"].values[0] == 81.3
|
||||
assert ending_epc['current-energy-efficiency'] == '92'
|
||||
|
||||
# PATCH
|
||||
# We patch the simulation config, to reflect the ending EPC, to see if we get the ending EPC's config
|
||||
patched_simulation_config = {
|
||||
'mainheat_energy_eff_ending': "Very Good",
|
||||
'hot_water_energy_eff_ending': 'Good',
|
||||
'has_boiler_ending': False,
|
||||
'has_air_source_heat_pump_ending': True,
|
||||
'has_electric_ending': True,
|
||||
'has_lpg_ending': False,
|
||||
'fuel_type_ending': 'electricity',
|
||||
'switch_system_ending': 'programmer',
|
||||
'no_control_ending': None,
|
||||
'auxiliary_systems_ending': 'bypass',
|
||||
'trvs_ending': 'trvs',
|
||||
"mainheatc_energy_eff_ending": 'Average'
|
||||
}
|
||||
|
||||
# PATCHING
|
||||
property_recommendations_patch = Recommendations.insert_temp_recommendation_id(
|
||||
[recommender.heating_recommendations]
|
||||
)
|
||||
property_recommendations_patch[0][0]["simulation_config"] = patched_simulation_config
|
||||
|
||||
home.create_base_difference_epc_record(cleaned_lookup=cleaned)
|
||||
home.adjust_difference_record_with_recommendations(
|
||||
property_recommendations_patch, []
|
||||
)
|
||||
|
||||
scoring_data_patch = pd.DataFrame(home.recommendations_scoring_data).drop(
|
||||
columns=["rdsap_change", "heat_demand_change", "carbon_change", "sap_ending", "heat_demand_ending",
|
||||
"carbon_ending"]
|
||||
)
|
||||
|
||||
model_api = ModelApi(portfolio_id="ashp-test", timestamp=datetime.now().isoformat())
|
||||
model_api.MODEL_PREFIXES = ["sap_change_predictions"]
|
||||
|
||||
predictions_dict_patch = model_api.predict_all(
|
||||
df=scoring_data_patch,
|
||||
bucket="retrofit-data-dev",
|
||||
prediction_buckets={
|
||||
"sap_change_predictions": "retrofit-sap-predictions-dev",
|
||||
}
|
||||
)
|
||||
|
||||
assert predictions_dict_patch["sap_change_predictions"]["predictions"].values[0] == 88.9
|
||||
# We still underpredict but the improvement is notable
|
||||
|
||||
def test_offgrid(self):
|
||||
"""
|
||||
We test on a property we've worked with before, where we compare two options
|
||||
a) Upgrading to a boiler
|
||||
b) Upgrading to a heat pump
|
||||
:return:
|
||||
"""
|
||||
|
||||
starting_epc = {
|
||||
'low-energy-fixed-light-count': '', 'address': '6 Beech Road', 'uprn-source': 'Energy Assessor',
|
||||
'floor-height': '2.4', 'heating-cost-potential': '612', 'unheated-corridor-length': '',
|
||||
'hot-water-cost-potential': '123', 'construction-age-band': 'England and Wales: 1930-1949',
|
||||
'potential-energy-rating': 'B', 'mainheat-energy-eff': 'Very Poor', 'windows-env-eff': 'Good',
|
||||
'lighting-energy-eff': 'Good', 'environment-impact-potential': '87',
|
||||
'glazed-type': 'double glazing installed during or after 2002', 'heating-cost-current': '2278',
|
||||
'address3': '', 'mainheatcont-description': 'Appliance thermostats', 'sheating-energy-eff': 'N/A',
|
||||
'property-type': 'House', 'local-authority-label': 'Dudley', 'fixed-lighting-outlets-count': '9',
|
||||
'energy-tariff': 'Single', 'mechanical-ventilation': 'natural', 'hot-water-cost-current': '604',
|
||||
'county': '', 'postcode': 'DY1 4BP', 'solar-water-heating-flag': 'N', 'constituency': 'E14000671',
|
||||
'co2-emissions-potential': '1.0', 'number-heated-rooms': '4',
|
||||
'floor-description': 'Solid, no insulation (assumed)', 'energy-consumption-potential': '93',
|
||||
'local-authority': 'E08000027', 'built-form': 'End-Terrace', 'number-open-fireplaces': '0',
|
||||
'windows-description': 'Fully double glazed', 'glazed-area': 'Normal', 'inspection-date': '2024-03-13',
|
||||
'mains-gas-flag': 'Y', 'co2-emiss-curr-per-floor-area': '83', 'address1': '6 Beech Road',
|
||||
'heat-loss-corridor': '', 'flat-storey-count': '', 'constituency-label': 'Dudley North',
|
||||
'roof-energy-eff': 'Very Poor', 'total-floor-area': '60.0', 'building-reference-number': '10005780080',
|
||||
'environment-impact-current': '41', 'co2-emissions-current': '5.0',
|
||||
'roof-description': 'Pitched, 12 mm loft insulation', 'floor-energy-eff': 'N/A',
|
||||
'number-habitable-rooms': '4', 'address2': '', 'hot-water-env-eff': 'Poor', 'posttown': 'DUDLEY',
|
||||
'mainheatc-energy-eff': 'Good', 'main-fuel': 'electricity (not community)', 'lighting-env-eff': 'Good',
|
||||
'windows-energy-eff': 'Good', 'floor-env-eff': 'N/A', 'sheating-env-eff': 'N/A',
|
||||
'lighting-description': 'Low energy lighting in 67% of fixed outlets', 'roof-env-eff': 'Very Poor',
|
||||
'walls-energy-eff': 'Average', 'photo-supply': '0.0', 'lighting-cost-potential': '113',
|
||||
'mainheat-env-eff': 'Poor', 'multi-glaze-proportion': '100', 'main-heating-controls': '',
|
||||
'lodgement-datetime': '2024-03-13 11:29:11', 'flat-top-storey': '', 'current-energy-rating': 'F',
|
||||
'secondheat-description': 'None', 'walls-env-eff': 'Average', 'transaction-type': 'rental',
|
||||
'uprn': '90055152', 'current-energy-efficiency': '32', 'energy-consumption-current': '491',
|
||||
'mainheat-description': 'Room heaters, electric', 'lighting-cost-current': '113',
|
||||
'lodgement-date': '2024-03-13', 'extension-count': '1', 'mainheatc-env-eff': 'Good',
|
||||
'lmk-key': '78ddf851b660e599a0894924d0e6b503980f5e0ad1aa711f8411718dc2989c44', 'wind-turbine-count': '0',
|
||||
'tenure': 'Rented (social)', 'floor-level': '', 'potential-energy-efficiency': '87',
|
||||
'hot-water-energy-eff': 'Very Poor', 'low-energy-lighting': '67',
|
||||
'walls-description': 'Cavity wall, filled cavity',
|
||||
'hotwater-description': 'Electric immersion, standard tariff'
|
||||
}
|
||||
|
||||
cleaning_data = read_dataframe_from_s3_parquet(
|
||||
bucket_name="retrofit-data-dev", file_key="sap_change_model/cleaning_dataset.parquet",
|
||||
)
|
||||
|
||||
cleaned = read_from_s3(
|
||||
s3_file_name="cleaned_epc_data/cleaned.bson",
|
||||
bucket_name="retrofit-data-dev"
|
||||
)
|
||||
cleaned = msgpack.unpackb(cleaned, raw=False)
|
||||
|
||||
photo_supply_lookup, floor_area_decile_thresholds = SolarPhotoSupply.load(bucket="retrofit-data-dev")
|
||||
|
||||
epc = EPCRecord(
|
||||
epc_records={
|
||||
'original_epc': starting_epc,
|
||||
'full_sap_epc': {},
|
||||
'old_data': []
|
||||
},
|
||||
run_mode="newdata",
|
||||
cleaning_data=cleaning_data
|
||||
)
|
||||
|
||||
home = Property(
|
||||
id=0,
|
||||
address="",
|
||||
postcode="",
|
||||
epc_record=epc,
|
||||
already_installed={},
|
||||
non_invasive_recommendations={},
|
||||
)
|
||||
home.in_conservation_area = False
|
||||
home.is_listed = False
|
||||
home.is_heritage = False
|
||||
home.restricted_measures = True
|
||||
home.get_components(
|
||||
cleaned=cleaned,
|
||||
photo_supply_lookup=photo_supply_lookup,
|
||||
floor_area_decile_thresholds=floor_area_decile_thresholds
|
||||
)
|
||||
|
||||
recommender = HeatingRecommender(property_instance=home)
|
||||
recommender.recommend_air_source_heat_pump(phase=0, has_cavity_or_loft_recommendations=False)
|
||||
recommender.recommend_boiler_upgrades(phase=0, system_change=True, exising_room_heaters=False)
|
||||
|
||||
assert len(recommender.heating_recommendations) == 3
|
||||
|
||||
property_recommendations = Recommendations.insert_temp_recommendation_id([recommender.heating_recommendations])
|
||||
|
||||
home.create_base_difference_epc_record(cleaned_lookup=cleaned)
|
||||
home.adjust_difference_record_with_recommendations(
|
||||
property_recommendations, []
|
||||
)
|
||||
|
||||
scoring_data = pd.DataFrame(home.recommendations_scoring_data).drop(
|
||||
columns=["rdsap_change", "heat_demand_change", "carbon_change", "sap_ending", "heat_demand_ending",
|
||||
"carbon_ending"]
|
||||
)
|
||||
|
||||
model_api = ModelApi(portfolio_id="ashp-test", timestamp=datetime.now().isoformat())
|
||||
model_api.MODEL_PREFIXES = ["sap_change_predictions"]
|
||||
|
||||
predictions_dict = model_api.predict_all(
|
||||
df=scoring_data,
|
||||
bucket="retrofit-data-dev",
|
||||
prediction_buckets={
|
||||
"sap_change_predictions": "retrofit-sap-predictions-dev",
|
||||
}
|
||||
)
|
||||
|
||||
# The ASHP isn't better under SAP, compared to a gas boiler with good heat controls
|
||||
assert predictions_dict["sap_change_predictions"]["predictions"].tolist() == [66.9, 65.5, 65.9]
|
||||
|
|
@ -18,10 +18,9 @@ class TestCosts:
|
|||
"description": "cwi",
|
||||
"depth": 75,
|
||||
"thermal_conductivity": 0.037,
|
||||
"prime_cost": 5.17,
|
||||
"material_cost": 5.62,
|
||||
"labour_cost": 1.125,
|
||||
"total_cost": 14,
|
||||
"labour_hours_per_unit": 0.065,
|
||||
"is_installer_quote": True
|
||||
}
|
||||
|
||||
cwi_results = costs.cavity_wall_insulation(
|
||||
|
|
@ -29,12 +28,7 @@ class TestCosts:
|
|||
material=cwi_material,
|
||||
)
|
||||
|
||||
assert cwi_results == {
|
||||
'total': 1065.0661223512907, 'subtotal': 887.5551019594088, 'vat': 177.51102039188177,
|
||||
'contingency': 63.396792997100626, 'preliminaries': 63.396792997100626, 'material': 539.0166061175574,
|
||||
'profit': 126.79358599420125, 'labour_hours': 6.234177828761786, 'labour_cost': 94.95132385344874,
|
||||
'labour_days': 0.38963611429761164
|
||||
}
|
||||
assert cwi_results == {'total': 1342.7459938871539, 'labour_hours': 8, 'labour_days': 1}
|
||||
|
||||
def test_loft_insulation(self):
|
||||
mock_property = Mock()
|
||||
|
|
@ -47,22 +41,17 @@ class TestCosts:
|
|||
"description": "Crown Loft Roll 44 glass fibre roll",
|
||||
"depth": 270,
|
||||
"thermal_conductivity": 0.044,
|
||||
"prime_cost": None,
|
||||
"material_cost": 5.91938,
|
||||
"labour_cost": 1.96,
|
||||
"labour_hours_per_unit": 0.11
|
||||
"total_cost": 11,
|
||||
"labour_hours_per_unit": 0.11,
|
||||
"is_installer_quote": True,
|
||||
}
|
||||
|
||||
loft_results = costs.loft_insulation(
|
||||
loft_results = costs.loft_and_flat_insulation(
|
||||
floor_area=33.5,
|
||||
material=loft_material,
|
||||
)
|
||||
|
||||
assert loft_results == {
|
||||
'total': 639.4133610000001, 'subtotal': 532.8444675000001, 'vat': 106.56889350000002,
|
||||
'contingency': 71.045929, 'preliminaries': 35.5229645, 'material': 297.448845, 'profit': 71.045929,
|
||||
'labour_hours': 3.685, 'labour_cost': 57.7808, 'labour_days': 0.460625
|
||||
}
|
||||
assert loft_results == {'total': 368.5, 'labour_hours': 8, 'labour_days': 1}
|
||||
|
||||
def test_internal_wall_insulation(self):
|
||||
mock_property = Mock()
|
||||
|
|
@ -71,87 +60,6 @@ class TestCosts:
|
|||
}
|
||||
|
||||
costs = Costs(mock_property)
|
||||
iwi_non_insulation_materials = [
|
||||
{'type': 'iwi_wall_demolition',
|
||||
'description': 'Solid & Dry Lined walls: Hack of wall finishes with chipping hammer; plaster to walls.',
|
||||
'depth': 0.0, 'depth_unit': 0.0, 'cost_unit': 'gbp_per_m2', 'thermal_conductivity': 0.0,
|
||||
'thermal_conductivity_unit': 0.0, 'prime_material_cost': 0.0, 'material_cost': 0.0, 'labour_cost': 10.27,
|
||||
'labour_hours_per_unit': 0.33, 'plant_cost': 1.28, 'total_cost': 11.55, 'link': 'SPONs', 'Notes': 0.0},
|
||||
{'type': 'iwi_wall_demolition',
|
||||
'description': 'Stud walls: Remove wall linings including battening behind; plasterboard and skim',
|
||||
'depth': 0.0, 'depth_unit': 0.0, 'cost_unit': 'gbp_per_m2', 'thermal_conductivity': 0.0,
|
||||
'thermal_conductivity_unit': 0.0, 'prime_material_cost': 0.0, 'material_cost': 0.0, 'labour_cost': 6.23,
|
||||
'labour_hours_per_unit': 0.2, 'plant_cost': 1.25, 'total_cost': 7.48, 'link': 'SPONs', 'Notes': 0.0},
|
||||
{'type': 'iwi_wall_demolition',
|
||||
'description': 'Lathe and Plaster walls: Remove wall linings including battening behind; wood lath and '
|
||||
'plaster',
|
||||
'depth': 0.0, 'depth_unit': 0.0, 'cost_unit': 'gbp_per_m2', 'thermal_conductivity': 0.0,
|
||||
'thermal_conductivity_unit': 0.0, 'prime_material_cost': 0.0, 'material_cost': 0.0, 'labour_cost': 6.85,
|
||||
'labour_hours_per_unit': 0.22, 'plant_cost': 2.09, 'total_cost': 8.94, 'link': 'SPONs', 'Notes': 0.0},
|
||||
{'Notes': "",
|
||||
'cost_unit': "",
|
||||
'depth': "",
|
||||
'depth_unit': "",
|
||||
'description': 'Visqueen High Performance Vapour Barrier',
|
||||
'labour_cost': 0.48,
|
||||
'labour_hours_per_unit': 0.02,
|
||||
'link': 'SPONs',
|
||||
'material_cost': 1.21,
|
||||
'plant_cost': 0,
|
||||
'prime_material_cost': 0.58,
|
||||
'thermal_conductivity': "",
|
||||
'thermal_conductivity_unit': "",
|
||||
'total_cost': 1.69,
|
||||
'type': 'iwi_vapour_barrier'},
|
||||
{'Notes': "",
|
||||
'cost_unit': "",
|
||||
'depth': "",
|
||||
'depth_unit': "",
|
||||
'description': 'Plaster; one coat Thistle board finish or other equal; steel trowelled; 3 mm thick work '
|
||||
'to walls or ceilings; one coat; to plasterboard base; over 600mm wide',
|
||||
'labour_cost': 6.58,
|
||||
'labour_hours_per_unit': 0.25,
|
||||
'link': "",
|
||||
'material_cost': 0.06,
|
||||
'plant_cost': 0,
|
||||
'prime_material_cost': 0.0,
|
||||
'thermal_conductivity': "",
|
||||
'thermal_conductivity_unit': "",
|
||||
'total_cost': 6.64,
|
||||
'type': 'iwi_redecoration'},
|
||||
{'Notes': "",
|
||||
'cost_unit': "",
|
||||
'depth': "",
|
||||
'depth_unit': "",
|
||||
'description': 'Two coats emulsion paint on plaster, over 40mm girth; 3.5m - '
|
||||
'5m high',
|
||||
'labour_cost': 0.0,
|
||||
'labour_hours_per_unit': 0.21,
|
||||
'link': "",
|
||||
'material_cost': 0.41,
|
||||
'plant_cost': 0,
|
||||
'prime_material_cost': "",
|
||||
'thermal_conductivity': "",
|
||||
'thermal_conductivity_unit': "",
|
||||
'total_cost': 4.34,
|
||||
'type': 'iwi_redecoration'},
|
||||
{'Notes': "",
|
||||
'cost_unit': "",
|
||||
'depth': "",
|
||||
'depth_unit': "",
|
||||
'description': 'Fitting existing softwood skirting or architrave to new '
|
||||
'frames; 150mm high',
|
||||
'labour_cost': 4.87,
|
||||
'labour_hours_per_unit': 0.01,
|
||||
'link': "",
|
||||
'material_cost': 4.86,
|
||||
'plant_cost': 0,
|
||||
'prime_material_cost': "",
|
||||
'thermal_conductivity': "",
|
||||
'thermal_conductivity_unit': "",
|
||||
'total_cost': 4.88,
|
||||
'type': 'iwi_redecoration'}
|
||||
]
|
||||
|
||||
iwi_material = {
|
||||
"type": "internal_wall_insulation",
|
||||
|
|
@ -161,26 +69,19 @@ class TestCosts:
|
|||
"cost_unit": "gbp_per_m2",
|
||||
"thermal_conductivity": 0.022,
|
||||
"thermal_conductivity_unit": "watt_per_meter_kelvin",
|
||||
"prime_material_cost": "",
|
||||
"material_cost": 11.68,
|
||||
"labour_cost": 3.12,
|
||||
"labour_hours_per_unit": 0.18,
|
||||
"plant_cost": "",
|
||||
"total_cost": 14.8,
|
||||
"link": "SPONs"
|
||||
"total_cost": 200,
|
||||
"link": "link",
|
||||
"is_installer_quote": True
|
||||
}
|
||||
|
||||
iwi_results = costs.internal_wall_insulation(
|
||||
iwi_results = costs.solid_wall_insulation(
|
||||
wall_area=95.9104281347967,
|
||||
material=iwi_material,
|
||||
non_insulation_materials=iwi_non_insulation_materials
|
||||
)
|
||||
|
||||
assert iwi_results == {
|
||||
'total': 6880.2304726777775, 'subtotal': 5733.525393898148, 'vat': 1146.7050787796295,
|
||||
'contingency': 764.470052519753, 'preliminaries': 382.2350262598765, 'material': 1747.488000615996,
|
||||
'profit': 764.470052519753, 'labour_hours': 88.23759388401297, 'labour_days': 2.757424808875405,
|
||||
'labour_cost': 1927.1602026551818
|
||||
'total': 19182.085626959342, 'labour_hours': 17.263877064263404, 'labour_days': 0.5394961582582314
|
||||
}
|
||||
|
||||
def test_suspended_floor_insulation(self):
|
||||
|
|
@ -201,7 +102,8 @@ class TestCosts:
|
|||
'total_cost': 13.46, 'link': 'SPONs',
|
||||
'Notes': 'Spons did not contain labour costs so we use values for similar insulations. '
|
||||
'We use the '
|
||||
'same values as in Crown loft roll 44, since it is also an insulation roll'
|
||||
'same values as in Crown loft roll 44, since it is also an insulation roll',
|
||||
"is_installer_quote": False
|
||||
}
|
||||
|
||||
sus_floor_non_insulation_materials = [
|
||||
|
|
@ -256,7 +158,7 @@ class TestCosts:
|
|||
'depth': 100.0, 'depth_unit': 'mm', 'cost_unit': 'gbp_per_m2', 'thermal_conductivity': 0.033,
|
||||
'thermal_conductivity_unit': 'watt_per_meter_kelvin', 'prime_material_cost': 0,
|
||||
'material_cost': 12.02, 'labour_cost': 4.4, 'labour_hours_per_unit': 0.19, 'plant_cost': 0,
|
||||
'total_cost': 16.42, 'link': 'SPONs', 'Notes': 0
|
||||
'total_cost': 16.42, 'link': 'SPONs', 'Notes': 0, "is_installer_quote": False
|
||||
}
|
||||
|
||||
sol_floor_non_insulation_materials = [
|
||||
|
|
@ -342,81 +244,18 @@ class TestCosts:
|
|||
ewi_material = {
|
||||
'type': 'external_wall_insulation', 'description': 'Ecotherm Eco-Versal PIR Insulation Board',
|
||||
'depth': 150.0, 'depth_unit': 'mm', 'cost_unit': 'gbp_per_m2', 'thermal_conductivity': 0.022,
|
||||
'thermal_conductivity_unit': 'watt_per_meter_kelvin', 'prime_material_cost': 23.53,
|
||||
'material_cost': 34.62, 'labour_cost': 33.06, 'labour_hours_per_unit': 1.4, 'plant_cost': 0,
|
||||
'total_cost': 67.68, 'link': 'SPONs', 'Notes': 0
|
||||
'thermal_conductivity_unit': 'watt_per_meter_kelvin',
|
||||
'labour_hours_per_unit': 1.4,
|
||||
'total_cost': 300, 'link': 'SPONs', 'Notes': 0, "is_installer_quote": True
|
||||
}
|
||||
ewi_non_insulation_materials = [
|
||||
{'type': 'ewi_wall_demolition',
|
||||
'description': 'Solid & Dry Lined walls: Hack of wall finishes with chipping '
|
||||
'hammer; plaster to walls.',
|
||||
'depth': 0, 'depth_unit': 0, 'cost_unit': 'gbp_per_m2',
|
||||
'thermal_conductivity': 0, 'thermal_conductivity_unit': 0,
|
||||
'prime_material_cost': 0, 'material_cost': 0, 'labour_cost': 10.27,
|
||||
'labour_hours_per_unit': 0.33, 'plant_cost': 1.28, 'total_cost': 11.55,
|
||||
'link': 'SPONs', 'Notes': 0}, {'type': 'ewi_wall_demolition',
|
||||
'description': 'Stud walls: Remove wall linings '
|
||||
'including battening behind; '
|
||||
'plasterboard and skim',
|
||||
'depth': 0, 'depth_unit': 0,
|
||||
'cost_unit': 'gbp_per_m2',
|
||||
'thermal_conductivity': 0,
|
||||
'thermal_conductivity_unit': 0,
|
||||
'prime_material_cost': 0, 'material_cost': 0,
|
||||
'labour_cost': 6.23, 'labour_hours_per_unit': 0.2,
|
||||
'plant_cost': 1.25, 'total_cost': 7.48,
|
||||
'link': 'SPONs', 'Notes': 0},
|
||||
{'type': 'ewi_wall_demolition',
|
||||
'description': 'Lathe and Plaster walls: Remove wall linings including battening '
|
||||
'behind; wood lath and plaster',
|
||||
'depth': 0, 'depth_unit': 0, 'cost_unit': 'gbp_per_m2',
|
||||
'thermal_conductivity': 0, 'thermal_conductivity_unit': 0,
|
||||
'prime_material_cost': 0, 'material_cost': 0, 'labour_cost': 6.85,
|
||||
'labour_hours_per_unit': 0.22, 'plant_cost': 2.09, 'total_cost': 8.94,
|
||||
'link': 'SPONs', 'Notes': 0}, {'type': 'ewi_wall_preparation',
|
||||
'description': 'Clean and prepare surfaces, '
|
||||
'one coat Keim dilution, '
|
||||
'one coat primer and two coats '
|
||||
'of Keim Ecosil paint; Brick or '
|
||||
'block walls; over 300 mm girth',
|
||||
'depth': 0, 'depth_unit': 0, 'cost_unit': 0,
|
||||
'thermal_conductivity': 0,
|
||||
'thermal_conductivity_unit': 0,
|
||||
'prime_material_cost': 0, 'material_cost': 7.3,
|
||||
'labour_cost': 5.62, 'labour_hours_per_unit': 0.3,
|
||||
'plant_cost': 0, 'total_cost': 12.92,
|
||||
'link': 'SPONs',
|
||||
'Notes': 'This work covers the preparation and '
|
||||
'priming of the wall before insulating'},
|
||||
{'type': 'ewi_wall_redecoration',
|
||||
'description': 'EPS insulation fixed with adhesive to SFS structure (measured '
|
||||
'separately) with horizontal PVC intermediate track and vertical '
|
||||
'T-spines; with glassfibre mesh reinforcement embedded in Sto '
|
||||
'Armat Classic Basecoat Render and Stolit K 1.5 Decorative '
|
||||
'Topcoat Render (white)',
|
||||
'depth': 0, 'depth_unit': 0, 'cost_unit': 0, 'thermal_conductivity': 0,
|
||||
'thermal_conductivity_unit': 0, 'prime_material_cost': 0, 'material_cost': 0,
|
||||
'labour_cost': 0, 'labour_hours_per_unit': 0, 'plant_cost': 0,
|
||||
'total_cost': 69.94, 'link': 'SPONs',
|
||||
'Notes': 'This material in SPONs is for 70mm EPS insulation, which comes in at a '
|
||||
'cost of 99.17 per meter square. This includes the cost of insulation. '
|
||||
'To get the costing for just the works and not the insulation, '
|
||||
'we subtract the cost of EPS insulation, using Ravathem 75mm insulation '
|
||||
'as an example, which costs £29.23 per meter square, giving us the cost '
|
||||
'of the remaining works without insulation. This material gives us a '
|
||||
'cost for basecoat, mesh application and a render finish'}]
|
||||
|
||||
ewi_results = costs.external_wall_insulation(
|
||||
ewi_results = costs.solid_wall_insulation(
|
||||
wall_area=95.9104281347967,
|
||||
material=ewi_material,
|
||||
non_insulation_materials=ewi_non_insulation_materials
|
||||
)
|
||||
|
||||
assert ewi_results == {
|
||||
'total': 15047.078622131372, 'subtotal': 12539.232185109477, 'vat': 2507.8464370218953,
|
||||
'contingency': 808.9827216199662, 'preliminaries': 2022.4568040499155, 'material': 4020.565147410677,
|
||||
'profit': 1617.9654432399325, 'labour_hours': 187.02533486285358, 'labour_days': 5.8445417144641745,
|
||||
'labour_cost': 3921.5600094613983
|
||||
'total': 28773.12844043901, 'labour_hours': 134.2745993887154, 'labour_days': 4.196081230897356
|
||||
}
|
||||
|
||||
def test_flat_roof_insulation(self):
|
||||
|
|
@ -426,120 +265,47 @@ class TestCosts:
|
|||
}
|
||||
|
||||
costs = Costs(mock_property)
|
||||
flat_roof_material = {'id': 1225, 'type': 'flat_roof_insulation',
|
||||
'description': 'Kingspan Thermaroof TR21 zero OPD '
|
||||
'urethene insulation board',
|
||||
'depth': 100.0, 'depth_unit': 'mm', 'cost': None,
|
||||
'cost_unit': 'gbp_per_m2', 'r_value_per_mm': 0.04,
|
||||
'r_value_unit': 'square_meter_kelvin_per_watt',
|
||||
'thermal_conductivity': 0.025,
|
||||
'thermal_conductivity_unit': 'watt_per_meter_kelvin',
|
||||
'link': 'SPONs',
|
||||
'created_at': "now", 'is_active': True,
|
||||
'prime_material_cost': None, 'material_cost': 50.95,
|
||||
'labour_cost': 10.66, 'labour_hours_per_unit': 0.48,
|
||||
'plant_cost': 0.0, 'total_cost': 61.61,
|
||||
'notes': "SPONs didn't have a labour hours so we use "
|
||||
"0.48 which is similar to other materials"}
|
||||
flat_roof_material = {
|
||||
'id': 1225, 'type': 'flat_roof_insulation',
|
||||
'description': 'Kingspan Thermaroof TR21 zero OPD '
|
||||
'urethene insulation board',
|
||||
'depth': 100.0, 'depth_unit': 'mm', 'cost': None,
|
||||
'cost_unit': 'gbp_per_m2', 'r_value_per_mm': 0.04,
|
||||
'r_value_unit': 'square_meter_kelvin_per_watt',
|
||||
'thermal_conductivity': 0.025,
|
||||
'thermal_conductivity_unit': 'watt_per_meter_kelvin',
|
||||
'link': 'SPONs',
|
||||
'created_at': "now", 'is_active': True,
|
||||
'prime_material_cost': None, 'material_cost': 50.95,
|
||||
'labour_cost': 10.66, 'labour_hours_per_unit': 0.48,
|
||||
'plant_cost': 0.0, 'total_cost': 61.61,
|
||||
'notes': "SPONs didn't have a labour hours so we use "
|
||||
"0.48 which is similar to other materials",
|
||||
"is_installer_quote": False
|
||||
}
|
||||
|
||||
flat_roof_non_insulation_materials = [
|
||||
{'id': 17, 'type': 'mechanical_ventilation', 'description': 'Mechanical Extract Ventilation', 'depth': None,
|
||||
'depth_unit': None, 'cost': 500, 'cost_unit': 'gbp_per_unit', 'r_value_per_mm': None, 'r_value_unit': None,
|
||||
'thermal_conductivity': None, 'thermal_conductivity_unit': None, 'link': None,
|
||||
'created_at': datetime.datetime(2023, 10, 18, 16, 39, 9, 827188), 'is_active': True,
|
||||
'prime_material_cost': None,
|
||||
'material_cost': None, 'labour_cost': None, 'labour_hours_per_unit': None, 'plant_cost': None,
|
||||
'total_cost': None,
|
||||
'notes': None},
|
||||
{'id': 1221, 'type': 'flat_roof_preparation',
|
||||
'description': 'clean surface to receive new damp-proof membrane',
|
||||
'depth': 0.0, 'depth_unit': None, 'cost': None, 'cost_unit': 'gbp_per_m2', 'r_value_per_mm': None,
|
||||
'r_value_unit': 'square_meter_kelvin_per_watt', 'thermal_conductivity': None,
|
||||
'thermal_conductivity_unit': None,
|
||||
'link': 'SPONs', 'created_at': datetime.datetime(2023, 12, 4, 20, 1, 49, 298076), 'is_active': True,
|
||||
'prime_material_cost': None, 'material_cost': 0.0, 'labour_cost': 4.36, 'labour_hours_per_unit': 0.14,
|
||||
'plant_cost': 0.0, 'total_cost': 4.36,
|
||||
'notes': 'This data is based on concrete however forms a decent baseline for a Bituminous Felt flat roof'},
|
||||
{'id': 1223, 'type': 'flat_roof_preparation',
|
||||
'description': 'One coat primer; on wood surfaces before fixing; General surfaces; over 300 mm girth',
|
||||
'depth': 0.0, 'depth_unit': None, 'cost': None, 'cost_unit': 'gbp_per_m2', 'r_value_per_mm': None,
|
||||
'r_value_unit': 'square_meter_kelvin_per_watt', 'thermal_conductivity': None,
|
||||
'thermal_conductivity_unit': None,
|
||||
'link': 'SPONs', 'created_at': datetime.datetime(2023, 12, 4, 20, 1, 49, 298076), 'is_active': True,
|
||||
'prime_material_cost': None, 'material_cost': 2.49, 'labour_cost': 1.5, 'labour_hours_per_unit': 0.08,
|
||||
'plant_cost': 0.0, 'total_cost': 3.99, 'notes': 'SPONs data gives us a baseline for a wood surface'},
|
||||
{'id': 1224, 'type': 'flat_roof_vapour_barrier', 'description': 'Visqueen High Performance Vapour Barrier',
|
||||
'depth': 0.0, 'depth_unit': None, 'cost': None, 'cost_unit': 'gbp_per_m2', 'r_value_per_mm': None,
|
||||
'r_value_unit': 'square_meter_kelvin_per_watt', 'thermal_conductivity': None,
|
||||
'thermal_conductivity_unit': None,
|
||||
'link': 'SPONs', 'created_at': datetime.datetime(2023, 12, 4, 20, 1, 49, 298076), 'is_active': True,
|
||||
'prime_material_cost': 0.58, 'material_cost': 1.21, 'labour_cost': 0.48, 'labour_hours_per_unit': 0.02,
|
||||
'plant_cost': 0.0, 'total_cost': 1.69, 'notes': None},
|
||||
{'id': 1234, 'type': 'flat_roof_waterproofing',
|
||||
'description': '20 mm thick two coat coverings; felt isolating membrane; to concrete (or '
|
||||
'timber) base; flat or to falls or slopes not exceeding 10° from horizontal',
|
||||
'depth': 0.0, 'depth_unit': None, 'cost': None, 'cost_unit': 'gbp_per_m2', 'r_value_per_mm': None,
|
||||
'r_value_unit': 'square_meter_kelvin_per_watt', 'thermal_conductivity': None,
|
||||
'thermal_conductivity_unit': None, 'link': 'SPONs',
|
||||
'created_at': datetime.datetime(2023, 12, 4, 20, 1, 49, 298076), 'is_active': True,
|
||||
'prime_material_cost': None, 'material_cost': 0.0, 'labour_cost': 0.0,
|
||||
'labour_hours_per_unit': 0.5, 'plant_cost': 0.0, 'total_cost': 31.13, 'notes': None}
|
||||
]
|
||||
|
||||
flat_roof_floor_results = costs.flat_roof_insulation(
|
||||
flat_roof_floor_results = costs.loft_and_flat_insulation(
|
||||
floor_area=33.5,
|
||||
material=flat_roof_material,
|
||||
non_insulation_materials=flat_roof_non_insulation_materials
|
||||
)
|
||||
|
||||
assert flat_roof_floor_results == {'total': 5325.327767999999, 'subtotal': 4437.773139999999,
|
||||
'vat': 887.5546279999999, 'contingency': 459.07998,
|
||||
'preliminaries': 306.05332, 'material': 1830.775, 'profit': 612.10664,
|
||||
'labour_hours': 24.79, 'labour_days': 1.549375, 'labour_cost': 186.9032}
|
||||
assert flat_roof_floor_results == {
|
||||
'total': 2063.935, 'subtotal': 1719.9458333333334, 'vat': 343.9891666666665, 'labour_hours': 8,
|
||||
'labour_days': 1
|
||||
}
|
||||
|
||||
assert costs.labour_adjustment_factor == 0.88
|
||||
|
||||
# Mock property instance for regional tests
|
||||
@pytest.fixture(params=[
|
||||
("Northamptonshire", "East Midlands", 7927.44),
|
||||
("Greater London Authority", "Inner London", 10475.0),
|
||||
("Adur", "South East England", 8333.32),
|
||||
("Bournemouth", "South West England", 8452),
|
||||
("Basildon", "East of England", 7895.44),
|
||||
("Birmingham", "West Midlands", 7706.2),
|
||||
("County Durham", "North East England", 8113.96),
|
||||
("Allerdale", "North West England", 6481.68),
|
||||
("York", "Yorkshire and the Humber", 8243.6),
|
||||
("Cardiff", "Wales", 7595.32),
|
||||
("Glasgow City", "Scotland", 7871.88),
|
||||
("Belfast", "Northern Ireland", 8504.36)
|
||||
])
|
||||
def mock_property_with_region(self, request):
|
||||
county, region, expected_cost = request.param
|
||||
mock_property = Mock()
|
||||
mock_property.data = {"county": county}
|
||||
return mock_property, region, expected_cost
|
||||
|
||||
# Test for different wattages
|
||||
@pytest.mark.parametrize("wattage, expected_cost", [
|
||||
(3000, 5945.58),
|
||||
(4000, 7927.44),
|
||||
(5000, 9909.3),
|
||||
(6000, 11891.16),
|
||||
@pytest.mark.parametrize("n_panels, expected_cost", [
|
||||
(7, 4055.0),
|
||||
(10, 4540.0),
|
||||
(12, 4863.0),
|
||||
(15, 5707.0),
|
||||
])
|
||||
def test_solar_pv_different_wattages(self, wattage, expected_cost):
|
||||
def test_solar_pv_different_wattages(self, n_panels, expected_cost):
|
||||
mock_property = Mock()
|
||||
mock_property.data = {"county": "Mansfield"}
|
||||
costs = Costs(mock_property)
|
||||
result = costs.solar_pv(wattage)
|
||||
assert result['total'] == pytest.approx(expected_cost, rel=0.01)
|
||||
|
||||
def test_solar_pv_regional_variation(self, mock_property_with_region):
|
||||
# Test for regional cost variations
|
||||
property_instance, expected_region, expected_cost = mock_property_with_region
|
||||
costs = Costs(property_instance)
|
||||
|
||||
assert costs.region == expected_region
|
||||
|
||||
result = costs.solar_pv(4000) # Testing with a fixed wattage of 4000
|
||||
result = costs.solar_pv(n_panels)
|
||||
assert result['total'] == pytest.approx(expected_cost, rel=0.01)
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue