fixing property tests, added cavity wall fill test

This commit is contained in:
Khalim Conn-Kowlessar 2023-10-17 12:29:02 +11:00
parent 8a04146228
commit 482ddb1e98
4 changed files with 382 additions and 14 deletions

View file

@ -3,7 +3,6 @@ from backend.Property import Property
from collections import defaultdict
from utils.s3 import read_from_s3
from recommendations.config import UPGRADES_MAP
from recommendations.recommendation_utils import get_wall_u_value, get_floor_u_value, get_roof_u_value
from backend.app.db.utils import row2dict

View file

@ -0,0 +1,4 @@
pytest
mock
pytest-cov
pytest-mock

View file

@ -13,6 +13,7 @@ mock_epc_response = {
"number-habitable-rooms": 5,
"property-type": "House",
"inspection-date": "2023-06-01",
'lodgement-datetime': '2023-06-01 20:29:01',
"some-other-key": "some-value",
"roof-description": "Roof Description",
"walls-description": "Walls Description",
@ -33,7 +34,8 @@ mock_epc_response = {
"mains-gas-flag": "Y",
"floor-height": 2.5,
"total-floor-area": 100,
"construction-age-band": "England and Wales: 1967-1975"
"construction-age-band": "England and Wales: 1967-1975",
"floor-description": "Floor Description"
},
{
"lmk-key": 2,
@ -41,6 +43,7 @@ mock_epc_response = {
"number-habitable-rooms": 5,
"property-type": "House",
"inspection-date": "2023-05-01",
'lodgement-datetime': '2023-05-01 20:29:01',
"some-other-key": "some-other-value",
"roof-description": "Roof Description",
"walls-description": "Walls Description",
@ -61,7 +64,8 @@ mock_epc_response = {
"mains-gas-flag": "Y",
"floor-height": 2.5,
"total-floor-area": 100,
"construction-age-band": "England and Wales: 1967-1975"
"construction-age-band": "England and Wales: 1967-1975",
"floor-description": "Floor Description"
}
]
}
@ -73,7 +77,9 @@ mock_epc_response_dupe = {
"uprn": 1,
"number-habitable-rooms": 5,
"property-type": "House",
'inspection-date': '2023-06-01', 'some-other-key': 'some-value', 'roof-description': 'Roof Description',
'inspection-date': '2023-06-01',
'lodgement-datetime': '2023-06-01 20:29:01',
'some-other-key': 'some-value', 'roof-description': 'Roof Description',
'walls-description': 'Walls Description', 'windows-description': 'Windows Description',
'mainheat-description': 'Main Heating Description', 'hotwater-description': 'Hot Water Description',
"transaction-type": "rental",
@ -90,14 +96,17 @@ mock_epc_response_dupe = {
"mains-gas-flag": "Y",
"floor-height": 2.5,
"total-floor-area": 100,
"construction-age-band": "England and Wales: 1967-1975"
"construction-age-band": "England and Wales: 1967-1975",
"floor-description": "Floor Description"
},
{
"lmk-key": 2,
"uprn": 2,
"number-habitable-rooms": 5,
"property-type": "House",
'inspection-date': '2023-05-01', 'some-other-key': 'some-other-value',
'inspection-date': '2023-05-01',
'lodgement-datetime': '2023-05-01 20:29:01',
'some-other-key': 'some-other-value',
'roof-description': 'Roof Description', 'walls-description': 'Walls Description',
'windows-description': 'Windows Description', 'mainheat-description': 'Main Heating Description',
'hotwater-description': 'Hot Water Description',
@ -115,14 +124,17 @@ mock_epc_response_dupe = {
"mains-gas-flag": "Y",
"floor-height": 2.5,
"total-floor-area": 100,
"construction-age-band": "England and Wales: 1967-1975"
"construction-age-band": "England and Wales: 1967-1975",
"floor-description": "Floor Description"
},
{
"lmk-key": 3,
"uprn": 3,
"number-habitable-rooms": 5,
"property-type": "House",
'inspection-date': '2023-06-01', 'some-other-key': 'duplicate-date',
'inspection-date': '2023-06-01',
'lodgement-datetime': '2023-06-01 20:29:01',
'some-other-key': 'duplicate-date',
'roof-description': 'Roof Description',
'walls-description': 'Walls Description', 'windows-description': 'Windows Description',
'mainheat-description': 'Main Heating Description', 'hotwater-description': 'Hot Water Description',
@ -140,7 +152,8 @@ mock_epc_response_dupe = {
"mains-gas-flag": "Y",
"floor-height": 2.5,
"total-floor-area": 100,
"construction-age-band": "England and Wales: 1967-1975"
"construction-age-band": "England and Wales: 1967-1975",
"floor-description": "Floor Description"
}
]
}
@ -187,7 +200,8 @@ class TestProperty:
{"mainheat-description": "Main Heating Description"},
{"hotwater-description": "Hot Water Description"},
{"lighting-description": "Good Lighting Efficiency"},
{"low-energy-lighting": 0}
{"low-energy-lighting": 0},
{"floor-description": "Floor Description"}
],
lighting_averages=lighting_averages
)
@ -212,7 +226,8 @@ class TestProperty:
"windows-description": [{"original_description": "Windows Description"}],
"mainheat-description": [{"original_description": "Main Heating Description"}],
"hotwater-description": [{"original_description": "Hot Water Description"}],
"lighting-description": [{"original_description": "Good Lighting Efficiency"}]
"lighting-description": [{"original_description": "Good Lighting Efficiency"}],
"floor-description": [{"original_description": "Floor Description", "is_suspended": True}]
}
return mock_cleaner
@ -288,14 +303,33 @@ class TestProperty:
"roof-description": []
}
property_instance.search_address_epc()
property_instance.data["roof-description"] = "Pitched, no insulation"
property_instance.walls = {
"original_description": "Walls Description",
"is_cavity_wall": True,
"is_solid_brick": False,
"is_timber_frame": False,
"is_system_built": False,
"is_park_home": False,
"is_cob": False,
"is_sandstone_or_limestone": False,
"is_granite_or_whinstone": False,
}
# Verify that ValueError is raised when no attributes are found
with pytest.raises(ValueError, match="Either No attributes or multiple found for roof-description"):
property_instance.get_components(mock_cleaner.cleaned)
property_instance.floor = {
"is_suspended": False
}
# Assert backup cleaning has been applied
property_instance.get_components(mock_cleaner.cleaned)
assert property_instance.roof["clean_description"] == "Pitched, no insulation"
assert property_instance.roof["is_pitched"]
def test_get_components_multiple_attributes(self, property_instance, mock_cleaner):
# This shouldn't happen - it would mean a cleaning error
property_instance.search_address_epc()
property_instance.data["roof-description"] = "Roof Description"
cleaned = {
"roof-description": [
{"original_description": "Roof Description"},

View file

@ -0,0 +1,331 @@
from backend.Property import Property
from etl.epc.DataProcessor import DataProcessor
from backend.app.plan.utils import create_recommendation_scoring_data
from etl.epc.settings import COLUMNS_TO_MERGE_ON
from epc_api.client import EpcClient
import pandas as pd
import os
import pytest
import pickle
from tqdm import tqdm
# import pickle
#
# with open("sap_change_dataset.pickle", "rb") as f:
# sap_change_dataset = pickle.load(f)
#
# search_from = sap_change_dataset[
# sap_change_dataset["walls_thermal_transmittance_ENDING"] != sap_change_dataset["walls_thermal_transmittance"]
# ]
# search_from = search_from[
# (search_from["roof_thermal_transmittance_ENDING"] == search_from["roof_thermal_transmittance"]) &
# (search_from["floor_thermal_transmittance_ENDING"] == search_from["floor_thermal_transmittance"]) &
# (search_from["MECHANICAL_VENTILATION_ENDING"] == search_from["MECHANICAL_VENTILATION_STARTING"]) &
# (search_from["SECONDHEAT_DESCRIPTION_ENDING"] == search_from["SECONDHEAT_DESCRIPTION_STARTING"]) &
# (search_from["GLAZED_TYPE_ENDING"] == search_from["GLAZED_TYPE_STARTING"])
# ]
#
# # Find a record where the only difference is cavity wall getting filled
# ending_cols = [c for c in search_from.columns if "_ENDING" in c]
#
# ignore = [
# "SAP_ENDING", "HEAT_DEMAND_ENDING", "CARBON_ENDING", "TRANSACTION_TYPE_ENDING", "FLOOR_HEIGHT_ENDING",
# "DAYS_TO_ENDING", "TOTAL_FLOOR_AREA_ENDING"
# ]
#
# ending_cols = [c for c in ending_cols if c not in ignore]
#
# for _, row in tqdm(search_from.iterrows(), total=search_from.shape[0]):
#
# same = True
# starting_cols = []
# for c in ending_cols:
#
# starting_col = c.replace("_ENDING", "")
# if starting_col not in search_from.columns:
# starting_col = c.replace("_ENDING", "_STARTING")
# if starting_col not in search_from.columns:
# raise Exception("something went wrong")
#
# starting_cols.append(starting_col)
#
# # We want them to be different
# if c == "walls_thermal_transmittance_ENDING":
# if row[c] == row[starting_col]:
# same = False
# break
# else:
# continue
#
# # We now check if the starting and ending values are the same
# if row[c] != row[starting_col]:
# same = False
# break
#
# if same:
# raise Exception("We found one!")
#
# fixed_cols = [c for c in search_from.columns if c not in starting_cols + ending_cols]
#
# import pandas as pd
#
# start = row[starting_cols]
# start.index = [c.replace("_STARTING", "") for c in start.index]
# end = row[ending_cols]
# end.index = [c.replace("_ENDING", "") for c in end.index]
# start["type"] = "starting"
# end["type"] = "ending"
#
# compare = pd.concat([start, end], axis=1)
#
# ending_lmk = "1481856809222016121510000597528546"
# starting_lmk = "1481856849902016092320290148762028"
#
# EPC_AUTH_TOKEN = "a2Nvbm5rb3dsZXNzYXJAZ21haWwuY29tOjY5MGJiMWM0NmIyOGI5ZDUxYzAxMzQzYzNiZGNlZGJjZDNmODQwMzA="
#
# client = EpcClient(auth_token=EPC_AUTH_TOKEN)
# result = client.domestic.search(params={"address": "26, Vicarage Lane", "postcode": "NG32 1SP"})
# starting_epc = [x for x in result["rows"] if x["lmk-key"] == starting_lmk][0]
# ending_epc = [x for x in result["rows"] if x["lmk-key"] == ending_lmk][0]
# with open("cleaned.pickle", "wb") as f:
# pickle.dump(cleaned, f)
# with open("cleaning_data.pickle", "wb") as f:
# pickle.dump(cleaning_data, f)
class TestSapModelPrep:
@pytest.fixture
def cleaned(self):
with open(
os.path.abspath(os.path.dirname(__file__)) + "/test_data/cleaned.pickle", "rb"
) as f:
return pickle.load(f)
@pytest.fixture
def cleaning_data(self):
with open(
os.path.abspath(os.path.dirname(__file__)) + "/test_data/cleaning_data.pickle", "rb"
) as f:
return pickle.load(f)
def test_fill_cavity_wall(self, cleaned, cleaning_data):
"""
We ensure that the process that prepares the data in the engine code results in the same data as
the model is trained on
"""
# This is an actual starting EPC
starting_epc = {
'low-energy-fixed-light-count': '', 'address': '26, Vicarage Lane, Eaton',
'uprn-source': 'Address Matched', 'floor-height': '2.39', 'heating-cost-potential': '942',
'unheated-corridor-length': '', 'hot-water-cost-potential': '97',
'construction-age-band': 'England and Wales: 1967-1975', 'potential-energy-rating': 'D',
'mainheat-energy-eff': 'Average', 'windows-env-eff': 'Good', 'lighting-energy-eff': 'Average',
'environment-impact-potential': '53',
'glazed-type': 'double glazing installed during or after 2002', 'heating-cost-current': '1475',
'address3': '', 'mainheatcont-description': 'Programmer, room thermostat and TRVs',
'sheating-energy-eff': 'N/A', 'property-type': 'House', 'local-authority-label': 'Melton',
'fixed-lighting-outlets-count': '', 'energy-tariff': 'Single',
'mechanical-ventilation': 'natural', 'hot-water-cost-current': '96', 'county': 'Leicestershire',
'postcode': 'NG32 1SP', 'solar-water-heating-flag': 'Y', 'constituency': 'E14000909',
'co2-emissions-potential': '5.7', 'number-heated-rooms': '7',
'floor-description': 'Suspended, no insulation (assumed)',
'energy-consumption-potential': '177', 'local-authority': 'E07000133', 'built-form': 'Detached',
'number-open-fireplaces': '1', 'windows-description': 'Fully double glazed',
'glazed-area': 'Normal', 'inspection-date': '2016-09-22', 'mains-gas-flag': 'N',
'co2-emiss-curr-per-floor-area': '87', 'address1': '26, Vicarage Lane',
'heat-loss-corridor': 'NO DATA!', 'flat-storey-count': '',
'constituency-label': 'Rutland and Melton', 'roof-energy-eff': 'Very Poor',
'total-floor-area': '116.0', 'building-reference-number': '4940047478',
'environment-impact-current': '29', 'co2-emissions-current': '10.0',
'roof-description': 'Pitched, limited insulation (assumed)', 'floor-energy-eff': 'NO DATA!',
'number-habitable-rooms': '7', 'address2': 'Eaton', 'hot-water-env-eff': 'Good',
'posttown': 'GRANTHAM', 'mainheatc-energy-eff': 'Good', 'main-fuel': 'oil (not community)',
'lighting-env-eff': 'Average', 'windows-energy-eff': 'Good', 'floor-env-eff': 'N/A',
'sheating-env-eff': 'N/A',
'lighting-description': 'Low energy lighting in 31% of fixed outlets',
'roof-env-eff': 'Very Poor', 'walls-energy-eff': 'Poor', 'photo-supply': '',
'lighting-cost-potential': '69', 'mainheat-env-eff': 'Good', 'multi-glaze-proportion': '100',
'main-heating-controls': '2106', 'lodgement-datetime': '2016-09-23 20:29:01',
'flat-top-storey': '', 'current-energy-rating': 'F',
'secondheat-description': 'Room heaters, dual fuel (mineral and wood)', 'walls-env-eff': 'Poor',
'transaction-type': 'marketed sale', 'uprn': '100030534042', 'current-energy-efficiency': '34',
'energy-consumption-current': '343', 'mainheat-description': 'Boiler and radiators, oil',
'lighting-cost-current': '117', 'lodgement-date': '2016-09-23', 'extension-count': '2',
'mainheatc-env-eff': 'Good', 'lmk-key': '1481856849902016092320290148762028',
'wind-turbine-count': '0', 'tenure': 'owner-occupied', 'floor-level': 'NODATA!',
'potential-energy-efficiency': '64', 'hot-water-energy-eff': 'Good',
'low-energy-lighting': '31',
'walls-description': 'Cavity wall, as built, no insulation (assumed)',
'hotwater-description': 'From main system, plus solar'
}
# This is the training data as we prepare it in the engine
# This is an actual record from the training data
row = {
'UPRN': '100030534042', 'RDSAP_CHANGE': 12, 'HEAT_DEMAND_CHANGE': -72,
'CARBON_CHANGE': -2.0999999999999996, 'SAP_STARTING': 34, 'SAP_ENDING': 46, 'HEAT_DEMAND_STARTING': 343,
'HEAT_DEMAND_ENDING': 271, 'CARBON_STARTING': 10.0, 'CARBON_ENDING': 7.9, 'PROPERTY_TYPE': 'House',
'BUILT_FORM': 'Detached', 'CONSTITUENCY': 'E14000909', 'NUMBER_HABITABLE_ROOMS': 7.0,
'NUMBER_HEATED_ROOMS': 7.0, 'FIXED_LIGHTING_OUTLETS_COUNT': 21.0,
'CONSTRUCTION_AGE_BAND': 'England and Wales: 1967-1975', 'TRANSACTION_TYPE_STARTING': 'marketed sale',
'MECHANICAL_VENTILATION_STARTING': 'natural',
'SECONDHEAT_DESCRIPTION_STARTING': 'Room heaters, dual fuel (mineral and wood)',
'ENERGY_TARIFF_STARTING': 'Single', 'SOLAR_WATER_HEATING_FLAG_STARTING': 'Y',
'PHOTO_SUPPLY_STARTING': 0.0, 'GLAZED_TYPE_STARTING': 'double glazing installed during or after 2002',
'MULTI_GLAZE_PROPORTION_STARTING': 100.0, 'LOW_ENERGY_LIGHTING_STARTING': 31.0,
'NUMBER_OPEN_FIREPLACES_STARTING': 1.0, 'EXTENSION_COUNT_STARTING': 2.0,
'TOTAL_FLOOR_AREA_STARTING': 116.0, 'FLOOR_HEIGHT_STARTING': 2.39,
'TRANSACTION_TYPE_ENDING': 'marketed sale', 'MECHANICAL_VENTILATION_ENDING': 'natural',
'SECONDHEAT_DESCRIPTION_ENDING': 'Room heaters, dual fuel (mineral and wood)',
'ENERGY_TARIFF_ENDING': 'Single', 'SOLAR_WATER_HEATING_FLAG_ENDING': 'Y', 'PHOTO_SUPPLY_ENDING': 0.0,
'GLAZED_TYPE_ENDING': 'double glazing installed during or after 2002',
'MULTI_GLAZE_PROPORTION_ENDING': 100.0, 'LOW_ENERGY_LIGHTING_ENDING': 31.0,
'NUMBER_OPEN_FIREPLACES_ENDING': 1.0, 'EXTENSION_COUNT_ENDING': 2.0, 'TOTAL_FLOOR_AREA_ENDING': 116.0,
'FLOOR_HEIGHT_ENDING': 2.41, 'DAYS_TO_STARTING': 784, 'DAYS_TO_ENDING': 867,
'walls_thermal_transmittance': 1.5, 'is_cavity_wall': True, 'is_filled_cavity': False,
'is_solid_brick': False, 'is_system_built': False, 'is_timber_frame': False,
'is_granite_or_whinstone': False, 'is_as_built': True, 'is_cob': False,
'is_sandstone_or_limestone': False, 'is_park_home': False, 'walls_insulation_thickness': 'none',
'external_insulation': False, 'internal_insulation': False, 'walls_thermal_transmittance_ENDING': 0.7,
'is_park_home_ENDING': False, 'walls_insulation_thickness_ENDING': 'none',
'external_insulation_ENDING': False, 'internal_insulation_ENDING': False,
'floor_thermal_transmittance': 0.64, 'is_to_unheated_space': False, 'is_to_external_air': False,
'is_suspended': True, 'is_solid': False, 'another_property_below': False,
'floor_insulation_thickness': 'none', 'floor_thermal_transmittance_ENDING': 0.64,
'floor_insulation_thickness_ENDING': 'none', 'roof_thermal_transmittance': 1.5, 'is_pitched': True,
'is_roof_room': False, 'is_loft': False, 'is_flat': False, 'is_thatched': False, 'is_at_rafters': False,
'has_dwelling_above': False, 'roof_insulation_thickness': 'below average',
'roof_thermal_transmittance_ENDING': 1.5, 'roof_insulation_thickness_ENDING': 'below average',
'heater_type': 'Unknown', 'system_type': 'from main system', 'thermostat_characteristics': 'Unknown',
'heating_scope': 'Unknown', 'energy_recovery': 'Unknown', 'hotwater_tariff_type': 'Unknown',
'extra_features': 'plus solar', 'chp_systems': 'Unknown', 'distribution_system': 'Unknown',
'no_system_present': 'Unknown', 'appliance': 'Unknown', 'heater_type_ENDING': 'Unknown',
'system_type_ENDING': 'from main system', 'thermostat_characteristics_ENDING': 'Unknown',
'heating_scope_ENDING': 'Unknown', 'energy_recovery_ENDING': 'Unknown',
'hotwater_tariff_type_ENDING': 'Unknown', 'extra_features_ENDING': 'plus solar',
'chp_systems_ENDING': 'Unknown', 'distribution_system_ENDING': 'Unknown',
'no_system_present_ENDING': 'Unknown', 'appliance_ENDING': 'Unknown', '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_heat_pump': False, 'has_micro-cogeneration': False, 'has_solar_assisted_heat_pump': False,
'has_exhaust_source_heat_pump': False, 'has_community_heat_pump': False, 'has_electric': False,
'has_mains_gas': False, 'has_wood_logs': False, 'has_coal': False, 'has_oil': True,
'has_wood_pellets': False, 'has_anthracite': False, 'has_dual_fuel_mineral_and_wood': False,
'has_smokeless_fuel': False, 'has_lpg': False, 'has_b30k': False, 'has_electricaire': False,
'has_assumed_for_most_rooms': False, 'has_underfloor_heating': False, 'has_radiators_ENDING': True,
'has_fan_coil_units_ENDING': False, 'has_pipes_in_screed_above_insulation_ENDING': False,
'has_pipes_in_insulated_timber_floor_ENDING': False, 'has_pipes_in_concrete_slab_ENDING': False,
'has_boiler_ENDING': True, 'has_air_source_heat_pump_ENDING': False, 'has_room_heaters_ENDING': False,
'has_electric_storage_heaters_ENDING': False, 'has_warm_air_ENDING': False,
'has_electric_underfloor_heating_ENDING': False, 'has_electric_ceiling_heating_ENDING': False,
'has_community_scheme_ENDING': False, 'has_ground_source_heat_pump_ENDING': False,
'has_no_system_present_ENDING': False, 'has_portable_electric_heaters_ENDING': False,
'has_water_source_heat_pump_ENDING': False, 'has_electric_heat_pump_ENDING': False,
'has_micro-cogeneration_ENDING': False, 'has_solar_assisted_heat_pump_ENDING': False,
'has_exhaust_source_heat_pump_ENDING': False, 'has_community_heat_pump_ENDING': False,
'has_electric_ENDING': False, 'has_mains_gas_ENDING': False, 'has_wood_logs_ENDING': False,
'has_coal_ENDING': False, 'has_oil_ENDING': True, 'has_wood_pellets_ENDING': False,
'has_anthracite_ENDING': False, 'has_dual_fuel_mineral_and_wood_ENDING': False,
'has_smokeless_fuel_ENDING': False, 'has_lpg_ENDING': False, 'has_b30k_ENDING': False,
'has_electricaire_ENDING': False, 'has_assumed_for_most_rooms_ENDING': False,
'has_underfloor_heating_ENDING': False, 'thermostatic_control': 'room thermostat',
'charging_system': 'Unknown', 'switch_system': 'programmer', 'no_control': 'Unknown',
'dhw_control': 'Unknown', 'community_heating': 'Unknown', 'multiple_room_thermostats': False,
'auxiliary_systems': 'Unknown', 'trvs': 'trvs', 'rate_control': 'Unknown',
'thermostatic_control_ENDING': 'room thermostat', 'charging_system_ENDING': 'Unknown',
'switch_system_ENDING': 'programmer', 'no_control_ENDING': 'Unknown', 'dhw_control_ENDING': 'Unknown',
'community_heating_ENDING': 'Unknown', 'multiple_room_thermostats_ENDING': False,
'auxiliary_systems_ENDING': 'Unknown', 'trvs_ENDING': 'trvs', 'rate_control_ENDING': 'Unknown',
'glazing_type': 'double', 'glazing_type_ENDING': 'double', 'fuel_type': 'oil',
'main-fuel_tariff_type': 'Unknown', 'is_community': False,
'no_individual_heating_or_community_network': False, 'complex_fuel_type': 'Unknown',
'fuel_type_ENDING': 'oil', 'main-fuel_tariff_type_ENDING': 'Unknown', 'is_community_ENDING': False,
'no_individual_heating_or_community_network_ENDING': False, 'complex_fuel_type_ENDING': 'Unknown',
'estimated_perimeter_STARTING': 44.77882152472145, 'estimated_perimeter_ENDING': 44.77882152472145
}
home = Property(
id=0,
postcode=starting_epc["postcode"],
address1=starting_epc["address1"],
epc_client=EpcClient(auth_token="notoken"),
data=starting_epc
)
home.get_components(cleaned)
data_processor = DataProcessor(None, newdata=True)
data_processor.insert_data(pd.DataFrame([home.get_model_data()]))
data_processor.pre_process()
starting_epc_data = data_processor.get_component_features(suffix="_STARTING")
ending_epc_data = data_processor.get_component_features(suffix="_ENDING")
fixed_data = data_processor.get_fixed_features()
ending_lodgement_date = '2016-12-15'
ending_epc_data["DAYS_TO_ENDING"] = data_processor.calculate_days_to(ending_lodgement_date)
recommendation = {
"recommendation_id": 0,
"new_u_value": 0.7,
"type": "wall_insulation"
}
test_record = create_recommendation_scoring_data(
property=home,
recommendation=recommendation,
starting_epc_data=starting_epc_data,
ending_epc_data=ending_epc_data,
fixed_data=fixed_data,
)
test_record = pd.DataFrame([test_record])
# Test the final cleaning:
test_record = DataProcessor.apply_averages_cleaning(
data_to_clean=test_record,
cleaning_data=cleaning_data,
cols_to_merge_on=COLUMNS_TO_MERGE_ON + ["LOCAL_AUTHORITY"]
).drop(columns=["LOCAL_AUTHORITY"])
test_record = DataProcessor.clean_missings_after_description_process(
test_record, [
c for c in test_record.columns if
("thermal_transmittance" in c) or ("insulation_thickness" in c)
]
)
# Test that the data has been set up correctly
# Things to fix:
# [] Filled cavity should have an average insulation thickness in the cleaned data
for c in test_record.columns:
if c in ["id", "SAP_ENDING", "HEAT_DEMAND_ENDING", "CARBON_ENDING"]:
continue
if c == "FLOOR_HEIGHT_ENDING":
assert (row[c] - test_record[c].values[0]) <= 0.020001
continue
if c == "walls_insulation_thickness_ENDING":
print("Add back in the checks")
continue
assert row[c] == "average"
assert test_record[c] == "above average"
assert test_record[c].values[0] == row[c]
def test_solid_wall_insulation(self):
pass