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Fireplace recommendations tests
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parent
77a7035167
commit
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1 changed files with 259 additions and 73 deletions
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@ -15,7 +15,6 @@ import pickle
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with open("sap_change_dataset.pickle", "rb") as f:
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sap_change_dataset = pickle.load(f)
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sap_change_dataset.columns.tolist()
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z = sap_change_dataset[(sap_change_dataset["NUMBER_OPEN_FIREPLACES_ENDING"] > 0) & (
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sap_change_dataset["NUMBER_OPEN_FIREPLACES_STARTING"] > 0)].head(2).tail(1)
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z["UPRN"]
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@ -24,81 +23,82 @@ z["SAP_ENDING"]
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z["NUMBER_OPEN_FIREPLACES_STARTING"]
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z["NUMBER_OPEN_FIREPLACES_ENDING"]
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# 10002083298
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# m
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# search_from = sap_change_dataset[
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# (sap_change_dataset["walls_thermal_transmittance_ENDING"] == sap_change_dataset["walls_thermal_transmittance"])
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# ]
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# search_from = search_from[
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# (search_from["roof_thermal_transmittance_ENDING"] == search_from["roof_thermal_transmittance"]) &
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# (search_from["floor_thermal_transmittance_ENDING"] == search_from["floor_thermal_transmittance"]) &
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# (search_from["MECHANICAL_VENTILATION_ENDING"] != search_from["MECHANICAL_VENTILATION_STARTING"]) &
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# (search_from["SECONDHEAT_DESCRIPTION_ENDING"] == search_from["SECONDHEAT_DESCRIPTION_STARTING"]) &
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# (search_from["GLAZED_TYPE_ENDING"] == search_from["GLAZED_TYPE_STARTING"])
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# ]
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#
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# # Find a record where the only difference is cavity wall getting filled
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# ending_cols = [c for c in search_from.columns if "_ENDING" in c]
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#
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# ignore = [
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# "SAP_ENDING", "HEAT_DEMAND_ENDING", "CARBON_ENDING", "TRANSACTION_TYPE_ENDING", "FLOOR_HEIGHT_ENDING",
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# "DAYS_TO_ENDING", "TOTAL_FLOOR_AREA_ENDING"
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# ]
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#
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# ending_cols = [c for c in ending_cols if c not in ignore]
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#
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# for _, row in tqdm(search_from.iterrows(), total=search_from.shape[0]):
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#
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# same = True
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# starting_cols = []
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# for c in ending_cols:
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#
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# starting_col = c.replace("_ENDING", "")
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# if starting_col not in search_from.columns:
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# starting_col = c.replace("_ENDING", "_STARTING")
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# if starting_col not in search_from.columns:
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# raise Exception("something went wrong")
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#
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# starting_cols.append(starting_col)
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#
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# # We want them to be different
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# if c == "MECHANICAL_VENTILATION_ENDING":
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# if (row[c] == row[starting_col]) | (row[starting_col] != "natural"):
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# same = False
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# break
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# else:
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# continue
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#
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# # We now check if the starting and ending values are the same
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# if row[c] != row[starting_col]:
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# same = False
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# break
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#
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# if same:
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# raise Exception("We found one!")
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#
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# fixed_cols = [c for c in search_from.columns if c not in starting_cols + ending_cols]
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#
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# import pandas as pd
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#
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# start = row[["SAP_STARTING"] + starting_cols]
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# start.index = [c.replace("_STARTING", "") for c in start.index]
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# end = row[["SAP_ENDING"] + ending_cols]
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# end.index = [c.replace("_ENDING", "") for c in end.index]
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# start["type"] = "starting"
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# end["type"] = "ending"
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#
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# compare = pd.concat([start, end], axis=1)
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#
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# ending_lmk = "96b34dbe6cebdd7e648151e070047c8cd605c539851fc5a37e325903440081ab"
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# starting_lmk = "dc1a4da246562656132b8e36e0534cd90b09fa40fc584e25e644e2d9ab86a247"
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#
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# client = EpcClient(auth_token=EPC_AUTH_TOKEN)
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# result = client.domestic.search(params={"address": "45 Shepperson Road", "postcode": "S6 4FG"})
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# starting_epc = [x for x in result["rows"] if x["lmk-key"] == starting_lmk][0]
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# ending_epc = [x for x in result["rows"] if x["lmk-key"] == ending_lmk][0]
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search_from = sap_change_dataset[
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(sap_change_dataset["walls_thermal_transmittance_ENDING"] == sap_change_dataset["walls_thermal_transmittance"])
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]
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search_from = search_from[
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(search_from["roof_thermal_transmittance_ENDING"] == search_from["roof_thermal_transmittance"]) &
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(search_from["floor_thermal_transmittance_ENDING"] == search_from["floor_thermal_transmittance"]) &
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(search_from["MECHANICAL_VENTILATION_ENDING"] == search_from["MECHANICAL_VENTILATION_STARTING"]) &
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(search_from["SECONDHEAT_DESCRIPTION_ENDING"] == search_from["SECONDHEAT_DESCRIPTION_STARTING"]) &
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(search_from["GLAZED_TYPE_ENDING"] == search_from["GLAZED_TYPE_STARTING"]) &
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(search_from["NUMBER_OPEN_FIREPLACES_STARTING"] > 0) &
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(search_from["NUMBER_OPEN_FIREPLACES_ENDING"] == 0)
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]
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# Find a record where the only difference is cavity wall getting filled
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ending_cols = [c for c in search_from.columns if "_ENDING" in c]
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ignore = [
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"SAP_ENDING", "HEAT_DEMAND_ENDING", "CARBON_ENDING", "TRANSACTION_TYPE_ENDING", "FLOOR_HEIGHT_ENDING",
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"DAYS_TO_ENDING", "TOTAL_FLOOR_AREA_ENDING"
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]
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ending_cols = [c for c in ending_cols if c not in ignore]
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for _, row in tqdm(search_from.iterrows(), total=search_from.shape[0]):
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same = True
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starting_cols = []
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for c in ending_cols:
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starting_col = c.replace("_ENDING", "")
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if starting_col not in search_from.columns:
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starting_col = c.replace("_ENDING", "_STARTING")
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if starting_col not in search_from.columns:
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raise Exception("something went wrong")
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starting_cols.append(starting_col)
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# We want them to be different
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if c == "NUMBER_OPEN_FIREPLACES_ENDING":
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if (row[c] == row[starting_col]) | (row[starting_col] != "natural"):
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same = False
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break
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else:
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continue
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# We now check if the starting and ending values are the same
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if row[c] != row[starting_col]:
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same = False
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break
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if same:
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raise Exception("We found one!")
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fixed_cols = [c for c in search_from.columns if c not in starting_cols + ending_cols]
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import pandas as pd
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start = row[["SAP_STARTING"] + starting_cols]
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start.index = [c.replace("_STARTING", "") for c in start.index]
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end = row[["SAP_ENDING"] + ending_cols]
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end.index = [c.replace("_ENDING", "") for c in end.index]
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start["type"] = "starting"
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end["type"] = "ending"
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compare = pd.concat([start, end], axis=1)
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ending_lmk = "bab3983fa167717b8bb4a36ef395046d53937f9b880a45bcc751270d72e5de45"
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starting_lmk = "736b6f4803a11d9e45b49bf98f36eb8a7f357b0dd24f3e7cddef5295518e5bef"
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client = EpcClient(auth_token=EPC_AUTH_TOKEN)
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result = client.domestic.search(params={"address": "9 Glebe Road, Asfordby Hill", "postcode": "LE14 3QT"})
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starting_epc = [x for x in result["rows"] if x["lmk-key"] == starting_lmk][0]
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ending_epc = [x for x in result["rows"] if x["lmk-key"] == ending_lmk][0]
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# with open(
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@ -718,3 +718,189 @@ class TestSapModelPrep:
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continue
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assert test_record3[c].values[0] == row3[c]
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def test_fireplaces(self, cleaned, cleaning_data):
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starting_epc4 = {
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'low-energy-fixed-light-count': '', 'address': '9 Glebe Road, Asfordby Hill',
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'uprn-source': 'Energy Assessor', 'floor-height': '2.4', 'heating-cost-potential': '501',
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'unheated-corridor-length': '', 'hot-water-cost-potential': '70',
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'construction-age-band': 'England and Wales: 1930-1949', 'potential-energy-rating': 'C',
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'mainheat-energy-eff': 'Good', 'windows-env-eff': 'Average', 'lighting-energy-eff': 'Average',
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'environment-impact-potential': '76', 'glazed-type': 'double glazing, unknown install date',
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'heating-cost-current': '723', 'address3': '',
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'mainheatcont-description': 'Programmer and room thermostat', 'sheating-energy-eff': 'N/A',
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'property-type': 'House', 'local-authority-label': 'Melton',
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'fixed-lighting-outlets-count': '14', 'energy-tariff': 'dual',
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'mechanical-ventilation': 'natural', 'hot-water-cost-current': '98',
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'county': 'Leicestershire', 'postcode': 'LE14 3QT', 'solar-water-heating-flag': 'N',
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'constituency': 'E14000909', 'co2-emissions-potential': '2.4', 'number-heated-rooms': '5',
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'floor-description': 'Solid, no insulation (assumed)', 'energy-consumption-potential': '153',
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'local-authority': 'E07000133', 'built-form': 'Semi-Detached', 'number-open-fireplaces': '1',
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'windows-description': 'Fully double glazed', 'glazed-area': 'Normal',
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'inspection-date': '2022-06-27', 'mains-gas-flag': 'Y', 'co2-emiss-curr-per-floor-area': '46',
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'address1': '9 Glebe Road', 'heat-loss-corridor': '', 'flat-storey-count': '',
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'constituency-label': 'Rutland and Melton', 'roof-energy-eff': 'Good',
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'total-floor-area': '87.0', 'building-reference-number': '10002396876',
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'environment-impact-current': '60', 'co2-emissions-current': '4.0',
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'roof-description': 'Pitched, 200 mm loft insulation', 'floor-energy-eff': 'N/A',
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'number-habitable-rooms': '5', 'address2': 'Asfordby Hill', 'hot-water-env-eff': 'Good',
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'posttown': 'MELTON MOWBRAY', 'mainheatc-energy-eff': 'Average',
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'main-fuel': 'mains gas (not community)', 'lighting-env-eff': 'Average',
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'windows-energy-eff': 'Average', 'floor-env-eff': 'N/A', 'sheating-env-eff': 'N/A',
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'lighting-description': 'Low energy lighting in 29% of fixed outlets', 'roof-env-eff': 'Good',
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'walls-energy-eff': 'Very Poor', 'photo-supply': '15.0', 'lighting-cost-potential': '79',
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'mainheat-env-eff': 'Good', 'multi-glaze-proportion': '100', 'main-heating-controls': '',
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'lodgement-datetime': '2022-06-27 15:28:18', 'flat-top-storey': '',
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'current-energy-rating': 'D',
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'secondheat-description': 'Room heaters, dual fuel (mineral and wood)',
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'walls-env-eff': 'Very Poor', 'transaction-type': 'ECO assessment', 'uprn': '100030539619',
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'current-energy-efficiency': '66', 'energy-consumption-current': '256',
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'mainheat-description': 'Boiler and radiators, mains gas', 'lighting-cost-current': '135',
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'lodgement-date': '2022-06-27', 'extension-count': '1', 'mainheatc-env-eff': 'Average',
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'lmk-key': '736b6f4803a11d9e45b49bf98f36eb8a7f357b0dd24f3e7cddef5295518e5bef',
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'wind-turbine-count': '0', 'tenure': 'Owner-occupied', 'floor-level': '',
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'potential-energy-efficiency': '78', 'hot-water-energy-eff': 'Good',
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'low-energy-lighting': '29',
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'walls-description': 'Solid brick, as built, no insulation (assumed)',
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'hotwater-description': 'From main system'
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}
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row4 = {
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'UPRN': '100030539619', 'RDSAP_CHANGE': 7, 'HEAT_DEMAND_CHANGE': -41, 'CARBON_CHANGE': -0.5,
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'SAP_STARTING': 66, 'SAP_ENDING': 73, 'HEAT_DEMAND_STARTING': 256, 'HEAT_DEMAND_ENDING': 215,
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'CARBON_STARTING': 4.0, 'CARBON_ENDING': 3.5, 'PROPERTY_TYPE': 'House', 'BUILT_FORM': 'Semi-Detached',
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'CONSTITUENCY': 'E14000909', 'NUMBER_HABITABLE_ROOMS': 5.0, 'NUMBER_HEATED_ROOMS': 5.0,
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'FIXED_LIGHTING_OUTLETS_COUNT': 14.0, 'CONSTRUCTION_AGE_BAND': 'England and Wales: 1930-1949',
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'TRANSACTION_TYPE_STARTING': 'eco assessment', 'MECHANICAL_VENTILATION_STARTING': 'natural',
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'SECONDHEAT_DESCRIPTION_STARTING': 'Room heaters, dual fuel (mineral and wood)',
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'ENERGY_TARIFF_STARTING': 'dual', 'SOLAR_WATER_HEATING_FLAG_STARTING': 'N', 'PHOTO_SUPPLY_STARTING': 15.0,
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'GLAZED_TYPE_STARTING': 'double glazing, unknown install date', 'MULTI_GLAZE_PROPORTION_STARTING': 100.0,
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'LOW_ENERGY_LIGHTING_STARTING': 29.0, 'NUMBER_OPEN_FIREPLACES_STARTING': 1.0,
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'EXTENSION_COUNT_STARTING': 1.0, 'TOTAL_FLOOR_AREA_STARTING': 87.0, 'FLOOR_HEIGHT_STARTING': 2.4,
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'TRANSACTION_TYPE_ENDING': 'eco assessment', 'MECHANICAL_VENTILATION_ENDING': 'natural',
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'SECONDHEAT_DESCRIPTION_ENDING': 'Room heaters, dual fuel (mineral and wood)',
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'ENERGY_TARIFF_ENDING': 'dual', 'SOLAR_WATER_HEATING_FLAG_ENDING': 'N', 'PHOTO_SUPPLY_ENDING': 15.0,
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'GLAZED_TYPE_ENDING': 'double glazing, unknown install date', 'MULTI_GLAZE_PROPORTION_ENDING': 100.0,
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'LOW_ENERGY_LIGHTING_ENDING': 29.0, 'NUMBER_OPEN_FIREPLACES_ENDING': 0, 'EXTENSION_COUNT_ENDING': 1.0,
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'TOTAL_FLOOR_AREA_ENDING': 87.0, 'FLOOR_HEIGHT_ENDING': 2.4, 'DAYS_TO_STARTING': 2887,
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'DAYS_TO_ENDING': 2960, 'walls_thermal_transmittance': 1.7, 'is_cavity_wall': False,
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'is_filled_cavity': False, 'is_solid_brick': True, 'is_system_built': False, 'is_timber_frame': False,
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'is_granite_or_whinstone': False, 'is_as_built': True, 'is_cob': False, 'is_sandstone_or_limestone': False,
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'is_park_home': False, 'walls_insulation_thickness': 'none', 'external_insulation': False,
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'internal_insulation': False, 'walls_thermal_transmittance_ENDING': 1.7, 'is_park_home_ENDING': False,
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'walls_insulation_thickness_ENDING': 'none', 'external_insulation_ENDING': False,
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'internal_insulation_ENDING': False, 'floor_thermal_transmittance': 0.66, 'is_to_unheated_space': False,
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'is_to_external_air': False, 'is_suspended': False, 'is_solid': True, 'another_property_below': False,
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'floor_insulation_thickness': 'none', 'floor_thermal_transmittance_ENDING': 0.66,
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'floor_insulation_thickness_ENDING': 'none', 'roof_thermal_transmittance': 0.21, 'is_pitched': True,
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'is_roof_room': False, 'is_loft': True, 'is_flat': False, 'is_thatched': False, 'is_at_rafters': False,
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'has_dwelling_above': False, 'roof_insulation_thickness': '200', 'roof_thermal_transmittance_ENDING': 0.21,
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'roof_insulation_thickness_ENDING': '200', 'heater_type': 'Unknown', 'system_type': 'from main system',
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'thermostat_characteristics': 'Unknown', 'heating_scope': 'Unknown', 'energy_recovery': 'Unknown',
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'hotwater_tariff_type': 'Unknown', 'extra_features': 'Unknown', 'chp_systems': 'Unknown',
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'distribution_system': 'Unknown', 'no_system_present': 'Unknown', 'appliance': 'Unknown',
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'heater_type_ENDING': 'Unknown', 'system_type_ENDING': 'from main system',
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'thermostat_characteristics_ENDING': 'Unknown', 'heating_scope_ENDING': 'Unknown',
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'energy_recovery_ENDING': 'Unknown', 'hotwater_tariff_type_ENDING': 'Unknown',
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'extra_features_ENDING': 'Unknown', 'chp_systems_ENDING': 'Unknown',
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'distribution_system_ENDING': 'Unknown', 'no_system_present_ENDING': 'Unknown',
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'appliance_ENDING': 'Unknown', 'has_radiators': True, 'has_fan_coil_units': False,
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'has_pipes_in_screed_above_insulation': False, 'has_pipes_in_insulated_timber_floor': False,
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'has_pipes_in_concrete_slab': False, 'has_boiler': True, 'has_air_source_heat_pump': False,
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'has_room_heaters': False, 'has_electric_storage_heaters': False, 'has_warm_air': False,
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'has_electric_underfloor_heating': False, 'has_electric_ceiling_heating': False,
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'has_community_scheme': False, 'has_ground_source_heat_pump': False, 'has_no_system_present': False,
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'has_portable_electric_heaters': False, 'has_water_source_heat_pump': False,
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'has_electric_heat_pump': False, 'has_micro-cogeneration': False, 'has_solar_assisted_heat_pump': False,
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'has_exhaust_source_heat_pump': False, 'has_community_heat_pump': False, 'has_electric': False,
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'has_mains_gas': True, 'has_wood_logs': False, 'has_coal': False, 'has_oil': False,
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'has_wood_pellets': False, 'has_anthracite': False, 'has_dual_fuel_mineral_and_wood': False,
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'has_smokeless_fuel': False, 'has_lpg': False, 'has_b30k': False, 'has_electricaire': False,
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'has_assumed_for_most_rooms': False, 'has_underfloor_heating': False, 'has_radiators_ENDING': True,
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'has_fan_coil_units_ENDING': False, 'has_pipes_in_screed_above_insulation_ENDING': False,
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'has_pipes_in_insulated_timber_floor_ENDING': False, 'has_pipes_in_concrete_slab_ENDING': False,
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'has_boiler_ENDING': True, 'has_air_source_heat_pump_ENDING': False, 'has_room_heaters_ENDING': False,
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'has_electric_storage_heaters_ENDING': False, 'has_warm_air_ENDING': False,
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'has_electric_underfloor_heating_ENDING': False, 'has_electric_ceiling_heating_ENDING': False,
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'has_community_scheme_ENDING': False, 'has_ground_source_heat_pump_ENDING': False,
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'has_no_system_present_ENDING': False, 'has_portable_electric_heaters_ENDING': False,
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'has_water_source_heat_pump_ENDING': False, 'has_electric_heat_pump_ENDING': False,
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'has_micro-cogeneration_ENDING': False, 'has_solar_assisted_heat_pump_ENDING': False,
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'has_exhaust_source_heat_pump_ENDING': False, 'has_community_heat_pump_ENDING': False,
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'has_electric_ENDING': False, 'has_mains_gas_ENDING': True, 'has_wood_logs_ENDING': False,
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'has_coal_ENDING': False, 'has_oil_ENDING': False, 'has_wood_pellets_ENDING': False,
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'has_anthracite_ENDING': False, 'has_dual_fuel_mineral_and_wood_ENDING': False,
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'has_smokeless_fuel_ENDING': False, 'has_lpg_ENDING': False, 'has_b30k_ENDING': False,
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'has_electricaire_ENDING': False, 'has_assumed_for_most_rooms_ENDING': False,
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'has_underfloor_heating_ENDING': False, 'thermostatic_control': 'room thermostat',
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'charging_system': 'Unknown', 'switch_system': 'programmer', 'no_control': 'Unknown',
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'dhw_control': 'Unknown', 'community_heating': 'Unknown', 'multiple_room_thermostats': False,
|
||||
'auxiliary_systems': 'Unknown', 'trvs': 'Unknown', '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': 'Unknown', 'rate_control_ENDING': 'Unknown',
|
||||
'glazing_type': 'double', 'glazing_type_ENDING': 'double', 'fuel_type': 'mains gas',
|
||||
'main-fuel_tariff_type': 'Unknown', 'is_community': False,
|
||||
'no_individual_heating_or_community_network': False, 'complex_fuel_type': 'Unknown',
|
||||
'fuel_type_ENDING': 'mains gas', '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': 37.54197650630557, 'estimated_perimeter_ENDING': 37.54197650630557
|
||||
}
|
||||
|
||||
home4 = Property(
|
||||
id=0,
|
||||
postcode=starting_epc4["postcode"],
|
||||
address1=starting_epc4["address1"],
|
||||
epc_client=EpcClient(auth_token="notoken"),
|
||||
data=starting_epc4
|
||||
)
|
||||
home4.get_components(cleaned)
|
||||
|
||||
data_processor4 = DataProcessor(None, newdata=True)
|
||||
data_processor4.insert_data(pd.DataFrame([home4.get_model_data()]))
|
||||
|
||||
data_processor4.pre_process()
|
||||
|
||||
starting_epc_data4 = data_processor4.get_component_features(suffix="_STARTING")
|
||||
ending_epc_data4 = data_processor4.get_component_features(suffix="_ENDING")
|
||||
fixed_data4 = data_processor4.get_fixed_features()
|
||||
|
||||
ending_lodgement_date4 = '2022-09-08'
|
||||
|
||||
ending_epc_data4["DAYS_TO_ENDING"] = data_processor4.calculate_days_to(ending_lodgement_date4)
|
||||
|
||||
recommendation4 = {
|
||||
"recommendation_id": 0,
|
||||
"type": "sealing_open_fireplace"
|
||||
}
|
||||
|
||||
test_record4 = create_recommendation_scoring_data(
|
||||
property=home4,
|
||||
recommendation=recommendation4,
|
||||
starting_epc_data=starting_epc_data4,
|
||||
ending_epc_data=ending_epc_data4,
|
||||
fixed_data=fixed_data4,
|
||||
)
|
||||
test_record4 = pd.DataFrame([test_record4])
|
||||
|
||||
# Test the final cleaning:
|
||||
test_record4 = DataProcessor.apply_averages_cleaning(
|
||||
data_to_clean=test_record4,
|
||||
cleaning_data=cleaning_data,
|
||||
cols_to_merge_on=COLUMNS_TO_MERGE_ON + ["LOCAL_AUTHORITY"]
|
||||
).drop(columns=["LOCAL_AUTHORITY"])
|
||||
|
||||
test_record4 = DataProcessor.clean_missings_after_description_process(
|
||||
test_record4, [
|
||||
c for c in test_record4.columns if
|
||||
("thermal_transmittance" in c) or ("insulation_thickness" in c)
|
||||
]
|
||||
)
|
||||
|
||||
for c in test_record4.columns:
|
||||
if c in ["id", "SAP_ENDING", "HEAT_DEMAND_ENDING", "CARBON_ENDING"]:
|
||||
continue
|
||||
|
||||
assert test_record4[c].values[0] == row4[c]
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue