mirror of
https://github.com/Hestia-Homes/Model.git
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fixed unit tests
This commit is contained in:
Khalim Conn-Kowlessar
parent
1b7599015c
commit
97b9bf58ca
1 changed files with 171 additions and 163 deletions
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@ -1,9 +1,11 @@
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from datetime import datetime
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import pandas as pd
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import pytest
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from unittest.mock import Mock
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from backend.Property import Property
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from etl.epc_clean.EpcClean import EpcClean
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from etl.epc.Record import EPCRecord
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from etl.bill_savings.KwhData import KwhData
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# Define some test data
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mock_epc_response = {
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@ -17,12 +19,13 @@ mock_epc_response = {
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"built-form": "Detached",
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"inspection-date": "2023-06-01",
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'lodgement-datetime': '2023-06-01 20:29:01',
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'lodgement-date': '2023-06-01',
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"some-other-key": "some-value",
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"roof-description": "pitched, no insulation",
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"walls-description": "Walls Description",
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"windows-description": "Windows Description",
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"mainheat-description": "Main Heating Description",
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"hotwater-description": "Hot Water Description",
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"windows-description": "Fully double glazed",
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"mainheat-description": "Boiler and radiators, mains gas",
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"hotwater-description": "From main system",
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"transaction-type": "rental",
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"lighting-description": "Good Lighting Efficiency",
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"energy-consumption-current": "50",
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@ -39,7 +42,10 @@ mock_epc_response = {
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"total-floor-area": 100,
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"construction-age-band": "England and Wales: 1967-1975",
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"floor-description": "Floor Description",
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"floor-level": "Ground"
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"floor-level": "Ground",
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"lighting-cost-current": 123,
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"heating-cost-current": 800,
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"hot-water-cost-current": 200
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},
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{
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"lmk-key": 2,
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@ -49,12 +55,13 @@ mock_epc_response = {
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"built-form": "Detached",
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"inspection-date": "2023-05-01",
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'lodgement-datetime': '2023-05-01 20:29:01',
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'lodgement-date': '2023-05-01',
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"some-other-key": "some-other-value",
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"roof-description": "Roof Description",
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"walls-description": "Walls Description",
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"windows-description": "Windows Description",
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"mainheat-description": "Main Heating Description",
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"hotwater-description": "Hot Water Description",
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"windows-description": "Fully double glazed",
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"mainheat-description": "Boiler and radiators, mains gas",
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"hotwater-description": "From main system",
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"transaction-type": "rental",
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"lighting-description": "Good Lighting Efficiency",
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"energy-consumption-current": "50",
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@ -71,98 +78,10 @@ mock_epc_response = {
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"total-floor-area": 100,
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"construction-age-band": "England and Wales: 1967-1975",
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"floor-description": "Floor Description",
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"floor-level": "Ground"
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}
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]
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}
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mock_epc_response_dupe = {
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'rows': [
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{
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"lmk-key": 1,
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"uprn": 1,
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"number-habitable-rooms": 5,
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"property-type": "House",
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'inspection-date': '2023-06-01',
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'lodgement-datetime': '2023-06-01 20:29:01',
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'some-other-key': 'some-value', 'roof-description': 'Roof Description',
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'walls-description': 'Walls Description', 'windows-description': 'Windows Description',
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'mainheat-description': 'Main Heating Description', 'hotwater-description': 'Hot Water Description',
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"transaction-type": "rental",
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"lighting-description": "Good Lighting Efficiency",
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"energy-consumption-current": "50",
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"co2-emissions-current": "123",
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"mechanical-ventilation": "natural",
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'photo-supply': 0,
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"solar-water-heating-flag": "N",
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"wind-turbine-count": 0,
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"extension-count": 0,
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"heat-loss-corridor": "no corridor",
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"unheated-corridor-length": 0,
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"mains-gas-flag": "Y",
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"floor-height": 2.5,
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"total-floor-area": 100,
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"construction-age-band": "England and Wales: 1967-1975",
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"floor-description": "Floor Description",
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"floor-level": "Ground"
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},
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{
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"lmk-key": 2,
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"uprn": 2,
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"number-habitable-rooms": 5,
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"property-type": "House",
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'inspection-date': '2023-05-01',
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'lodgement-datetime': '2023-05-01 20:29:01',
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'some-other-key': 'some-other-value',
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'roof-description': 'Roof Description', 'walls-description': 'Walls Description',
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'windows-description': 'Windows Description', 'mainheat-description': 'Main Heating Description',
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'hotwater-description': 'Hot Water Description',
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"transaction-type": "rental",
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"lighting-description": "Good Lighting Efficiency",
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"energy-consumption-current": "50",
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"co2-emissions-current": "123",
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"mechanical-ventilation": "natural",
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'photo-supply': 0,
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"solar-water-heating-flag": "N",
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"wind-turbine-count": 0,
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"extension-count": 0,
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"heat-loss-corridor": "no corridor",
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"unheated-corridor-length": 0,
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"mains-gas-flag": "Y",
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"floor-height": 2.5,
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"total-floor-area": 100,
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"construction-age-band": "England and Wales: 1967-1975",
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"floor-description": "Floor Description",
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"floor-level": "Ground"
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},
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{
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"lmk-key": 3,
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"uprn": 3,
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"number-habitable-rooms": 5,
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"property-type": "House",
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'inspection-date': '2023-06-01',
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'lodgement-datetime': '2023-06-01 20:29:01',
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'some-other-key': 'duplicate-date',
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'roof-description': 'Roof Description',
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'walls-description': 'Walls Description', 'windows-description': 'Windows Description',
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'mainheat-description': 'Main Heating Description', 'hotwater-description': 'Hot Water Description',
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"transaction-type": "rental",
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"lighting-description": "Good Lighting Efficiency",
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"energy-consumption-current": "50",
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"co2-emissions-current": "123",
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"mechanical-ventilation": "natural",
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'photo-supply': 0,
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"solar-water-heating-flag": "N",
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"wind-turbine-count": 0,
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"extension-count": 0,
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"heat-loss-corridor": "no corridor",
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"unheated-corridor-length": 0,
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"mains-gas-flag": "Y",
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"floor-height": 2.5,
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"total-floor-area": 100,
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"construction-age-band": "England and Wales: 1967-1975",
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"floor-description": "Floor Description",
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"floor-level": "Ground"
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"floor-level": "Ground",
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"lighting-cost-current": 123,
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"heating-cost-current": 800,
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"hot-water-cost-current": 200
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}
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]
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}
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@ -170,34 +89,14 @@ mock_epc_response_dupe = {
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class TestProperty:
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@pytest.fixture(autouse=True)
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def mock_photo_supply_lookup(self):
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return pd.DataFrame(
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[
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dict(
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tenure="rental (social)",
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built_form="Detached",
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property_type="House",
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construction_age_band="England and Wales: 1967-1975",
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is_flat=False,
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is_pitched=True,
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is_roof_room=False,
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floor_area_decile=2,
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photo_supply_median=40
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)
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]
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)
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@pytest.fixture(autouse=True)
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def mock_floor_area_decile_thresholds(self):
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return pd.DataFrame(
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{"floor_area_decile_thresholds": [0, 10, 30, 50]}
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)
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@pytest.fixture(autouse=True)
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def property_instance(self, mock_cleaner):
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epc_record = EPCRecord()
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epc_record.prepared_epc = mock_epc_response["rows"][0]
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prepared_epc = mock_epc_response["rows"][0].copy()
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# Replace hyphens with underscores
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prepared_epc = {k.replace("-", "_"): v for k, v in prepared_epc.items()}
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epc_record.prepared_epc = prepared_epc
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epc_record.uprn = prepared_epc["uprn"]
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property_instance = Property(id=1, postcode="AB12CD", address="Test Address", epc_record=epc_record)
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property_instance.number_of_floors = 2
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@ -206,27 +105,6 @@ class TestProperty:
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property_instance.floor_height = 2.5
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return property_instance
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@pytest.fixture(autouse=True)
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def property_instance_dupe_data(self):
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epc_record = EPCRecord()
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epc_record.prepared_epc = mock_epc_response_dupe["rows"][0]
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property_instance_dupe_data = Property(id=2, postcode="AB12CD", address="Test Address", epc_record=epc_record)
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return property_instance_dupe_data
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# @pytest.fixture
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# def mock_epc_client(self):
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# mock_epc_client = Mock(spec=EpcClient(auth_token="mocked_auth_token"))
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# mock_epc_client.domestic.search.return_value = mock_epc_response.copy()
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# mock_epc_client.auth_token = "mocked_auth_token"
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# return mock_epc_client
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#
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# @pytest.fixture
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# def mock_epc_client_dupe_data(self):
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# mock_epc_client_dupe_data = Mock(spec=EpcClient(auth_token="mocked_auth_token"))
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# mock_epc_client_dupe_data.domestic.search.return_value = mock_epc_response_dupe.copy()
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# mock_epc_client_dupe_data.auth_token = "mocked_auth_token"
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# return mock_epc_client_dupe_data
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@pytest.fixture
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def mock_cleaner(self):
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lighting_averages = [
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@ -270,15 +148,59 @@ class TestProperty:
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"is_roof_room": False}
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],
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"walls-description": [walls_data],
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"windows-description": [{"original_description": "Windows Description"}],
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"mainheat-description": [{"original_description": "Main Heating Description"}],
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"hotwater-description": [{"original_description": "Hot Water Description"}],
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"windows-description": [
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{'original_description': 'Fully double glazed', 'has_glazing': True, 'glazing_coverage': 'full',
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'glazing_type': 'double', 'no_data': False}
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],
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"mainheat-description": [
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{
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'original_description': 'Boiler and radiators, mains gas', 'has_radiators': True,
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'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,
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'has_ground_source_heat_pump': False, 'has_no_system_present': False,
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'has_portable_electric_heaters': False,
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'has_water_source_heat_pump': False, 'has_electric': False, 'has_mains_gas': True,
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'has_wood_logs': False,
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'has_coal': False, 'has_oil': False, 'has_wood_pellets': False, 'has_anthracite': False,
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'has_dual_fuel_mineral_and_wood': False, 'has_smokeless_fuel': False, 'has_lpg': False,
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'has_assumed': False,
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'has_electricaire': False, 'has_assumed_for_most_rooms': False, 'has_underfloor_heating': False,
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"has_electric_heat_pumps": False,
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"has_micro-cogeneration": False
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}
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],
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"hotwater-description": [
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{'original_description': 'From main system', 'heater_type': None, 'system_type': 'from main system',
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'thermostat_characteristics': None, 'heating_scope': None, 'energy_recovery': None,
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'tariff_type': None,
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'extra_features': None, 'chp_systems': None, 'distribution_system': None, 'no_system_present': None,
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'assumed': False, "appliance": None}
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],
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"lighting-description": [{"original_description": "Good Lighting Efficiency"}],
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"floor-description": [
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{"original_description": "Floor Description", "is_suspended": True, "another_property_below": False}]
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}
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return mock_cleaner
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@pytest.fixture
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def kwh_client(self):
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kwh_client = KwhData(bucket="retrofit-data-dev", read_consumption_data=False)
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# We fix this pricing table for these tests
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kwh_client.retail_price_comparison = pd.DataFrame(
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[
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{
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"Date": datetime.today().strftime("%Y-%m-%d"),
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'Average standard variable tariff (Large legacy suppliers)': 1
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}
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]
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)
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kwh_client.retail_price_comparison["Date"] = pd.to_datetime(kwh_client.retail_price_comparison["Date"])
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return kwh_client
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def test_init(self):
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epc_record = EPCRecord()
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epc_record.prepared_epc = {"uprn": 1}
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@ -292,13 +214,26 @@ class TestProperty:
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inst3 = Property(4, "AB12CD", "Test Address", epc_record=epc_record)
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assert inst3.data == {"uprn": 1}
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def test_get_components(
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self, property_instance, mock_cleaner, mock_photo_supply_lookup, mock_floor_area_decile_thresholds
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def test_set_features(
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self, property_instance, mock_cleaner, kwh_client,
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):
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property_instance.get_components(
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kwh_predictions = {
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"heating_kwh_predictions": pd.DataFrame(
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[
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{"id": property_instance.uprn, "predictions": 12000}
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]
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),
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"hotwater_kwh_predictions": pd.DataFrame(
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[
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{"id": property_instance.uprn, "predictions": 3000}
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]
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),
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}
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property_instance.set_features(
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mock_cleaner.cleaned,
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photo_supply_lookup=mock_photo_supply_lookup,
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floor_area_decile_thresholds=mock_floor_area_decile_thresholds
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kwh_client,
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kwh_predictions
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)
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# Verify that the components are set correctly
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@ -318,9 +253,32 @@ class TestProperty:
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"is_sandstone_or_limestone": False,
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"is_granite_or_whinstone": False,
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}
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assert property_instance.windows == {"original_description": "Windows Description"}
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assert property_instance.main_heating == {"original_description": "Main Heating Description"}
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assert property_instance.hotwater == {"original_description": "Hot Water Description"}
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assert property_instance.windows == {
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'original_description': 'Fully double glazed', 'has_glazing': True, 'glazing_coverage': 'full',
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'glazing_type': 'double', 'no_data': False
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}
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assert property_instance.main_heating == {
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'original_description': 'Boiler and radiators, mains gas', 'has_radiators': True,
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'has_fan_coil_units': False, 'has_pipes_in_screed_above_insulation': False,
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'has_pipes_in_insulated_timber_floor': False, 'has_pipes_in_concrete_slab': False, 'has_boiler': True,
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'has_air_source_heat_pump': False, 'has_room_heaters': False, 'has_electric_storage_heaters': False,
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'has_warm_air': False, '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, '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_assumed': False, 'has_electricaire': False,
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'has_assumed_for_most_rooms': False, 'has_underfloor_heating': False, 'has_electric_heat_pumps': False,
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'has_micro-cogeneration': False
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}
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assert property_instance.hotwater == {
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'original_description': 'From main system', 'heater_type': None,
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'system_type': 'from main system', 'thermostat_characteristics': None,
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'heating_scope': None, 'energy_recovery': None, 'tariff_type': None,
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'extra_features': None, 'chp_systems': None, 'distribution_system': None,
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'no_system_present': None, 'assumed': False, 'appliance': None
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}
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assert property_instance.wall_type == "cavity"
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@ -330,11 +288,24 @@ class TestProperty:
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# Verify that ValueError is raised when EpcClean doesn't contain cleaned data
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with pytest.raises(ValueError, match="Cleaner does not contain cleaned data"):
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property_instance.get_components(mock_cleaner.cleaned, pd.DataFrame(), pd.DataFrame())
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property_instance.set_features(mock_cleaner.cleaned, pd.DataFrame(), pd.DataFrame())
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def test_get_components_no_attributes(
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self, property_instance, mock_cleaner, mock_photo_supply_lookup, mock_floor_area_decile_thresholds
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self, property_instance, mock_cleaner, kwh_client
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):
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kwh_predictions = {
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"heating_kwh_predictions": pd.DataFrame(
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[
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{"id": property_instance.uprn, "predictions": 12000}
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]
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),
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"hotwater_kwh_predictions": pd.DataFrame(
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[
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{"id": property_instance.uprn, "predictions": 3000}
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]
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),
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}
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# Modify the mock cleaner to have no attributes for a specific description
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mock_cleaner.cleaned = {
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"roof-description": []
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@ -351,23 +322,45 @@ class TestProperty:
|
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"is_sandstone_or_limestone": False,
|
||||
"is_granite_or_whinstone": False,
|
||||
}
|
||||
|
||||
property_instance.floor = {
|
||||
"is_suspended": False,
|
||||
"another_property_below": False,
|
||||
"is_solid": True
|
||||
}
|
||||
property_instance.main_heating = {
|
||||
'original_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.hotwater = {
|
||||
'original_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
|
||||
}
|
||||
|
||||
# Assert backup cleaning has been applied
|
||||
property_instance.get_components(
|
||||
mock_cleaner.cleaned, mock_photo_supply_lookup, mock_floor_area_decile_thresholds
|
||||
property_instance.set_features(
|
||||
mock_cleaner.cleaned,
|
||||
kwh_client,
|
||||
kwh_predictions
|
||||
)
|
||||
|
||||
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, mock_photo_supply_lookup, mock_floor_area_decile_thresholds
|
||||
self, property_instance, mock_cleaner, kwh_client
|
||||
):
|
||||
# This shouldn't happen - it would mean a cleaning error
|
||||
property_instance.data["roof-description"] = "Roof Description"
|
||||
|
|
@ -378,13 +371,27 @@ class TestProperty:
|
|||
]
|
||||
}
|
||||
|
||||
kwh_predictions = {
|
||||
"heating_kwh_predictions": pd.DataFrame(
|
||||
[
|
||||
{"id": property_instance.uprn, "predictions": 12000}
|
||||
]
|
||||
),
|
||||
"hotwater_kwh_predictions": pd.DataFrame(
|
||||
[
|
||||
{"id": property_instance.uprn, "predictions": 3000}
|
||||
]
|
||||
),
|
||||
}
|
||||
|
||||
# Verify that ValueError is raised when multiple attributes are found
|
||||
with pytest.raises(ValueError, match="Either No attributes or multiple found for roof-description"):
|
||||
property_instance.get_components(cleaned, mock_photo_supply_lookup, mock_floor_area_decile_thresholds)
|
||||
property_instance.set_features(cleaned, kwh_client, kwh_predictions)
|
||||
|
||||
def test_set_spatial(self):
|
||||
epc_record = EPCRecord()
|
||||
epc_record.prepared_epc = mock_epc_response["rows"][0]
|
||||
epc_record.uprn = mock_epc_response["rows"][0]["uprn"]
|
||||
prop = Property(1, postcode="AB12CD", address="Test Address", epc_record=epc_record)
|
||||
|
||||
spatial1 = pd.DataFrame([{
|
||||
|
|
@ -418,6 +425,7 @@ class TestProperty:
|
|||
# floor, so we should set floor_level to 0
|
||||
epc_record = EPCRecord()
|
||||
epc_record.prepared_epc = {'floor-level': '01', 'property-type': 'Flat'}
|
||||
epc_record.uprn = 1
|
||||
prop = Property(1, postcode="AB12CD", address="Test Address", epc_record=epc_record)
|
||||
prop.floor = {
|
||||
'original_description': 'Solid, no insulation (assumed)', 'clean_description': 'Solid, no insulation',
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue