def from_row(cls, row: typing.Dict[str, typing.Any]) -> 'ParsedDwellingDataRow':
if not cls._CHECKER.validate(row):
error_keys = ', '.join(cls._CHECKER.errors.keys())
raise InvalidInputDataError(f'Validator failed on keys: {error_keys}')
parsed = cls._CHECKER.document
return ParsedDwellingDataRow(
house_id=parsed['HOUSE_ID'],
eval_id=parsed['EVAL_ID'],
file_id=parsed['BUILDER'],
eval_type=EvaluationType.from_code(parsed['EVAL_TYPE']),
entry_date=parsed['ENTRYDATE'].date(),
creation_date=parsed['CREATIONDATE'],
modification_date=parsed['MODIFICATIONDATE'],
year_built=parsed['YEARBUILT'],
city=parsed['CLIENTCITY'],
region=Region.from_data(parsed['HOUSEREGION']),
forward_sortation_area=parsed['forwardSortationArea'],
energy_upgrades=[upgrade.Upgrade.from_data(upgrade_node) for upgrade_node in parsed['upgrades']],
heated_floor_area=parsed['HEATEDFLOORAREA'],
house_type=parsed['TYPEOFHOUSE'],
egh_rating=measurement.Measurement(
measurement=parsed['EGHRATING'],
upgrade=parsed['UGRRATING'],
),
ers_rating=measurement.Measurement(
measurement=parsed['ERSRATING'],
upgrade=parsed['UGRERSRATING'],
),
greenhouse_gas_emissions=measurement.Measurement(
measurement=parsed['ERSGHG'],
upgrade=parsed['UGRERSGHG'],
),
energy_intensity=measurement.Measurement(
measurement=parsed['ERSENERGYINTENSITY'],
upgrade=parsed['UGRERSENERGYINTENSITY'],
),
walls=measurement.Measurement(
measurement=walls.Wall.from_data(
parsed['WALLDEF'],
parsed['EGHHLWALLS'],
),
upgrade=walls.Wall.from_data(
parsed['UGRWALLDEF'],
parsed['UGRHLWALLS'],
),
),
design_heat_loss=measurement.Measurement(
measurement=parsed['EGHDESHTLOSS'],
upgrade=parsed['UGRDESHTLOSS'],
),
)
def test_seriealize_properties() -> None:
class Test():
def __init__(self, a: int) -> None:
self.a = a
def to_dict(self) -> typing.Dict[str, int]:
return {'a': self.a}
assert measurement.Measurement(measurement=Test(1),
upgrade=Test(2)).to_dict() == {
'measurement': {
'a': 1
},
'upgrade': {
'a': 2
},
}
def test_from_row(self, sample_input_d: typing.Dict[str, typing.Any]) -> None:
output = dwelling.ParsedDwellingDataRow.from_row(sample_input_d)
assert output == dwelling.ParsedDwellingDataRow(
house_id=456,
eval_id=123,
file_id='4K13D01404',
eval_type=evaluation_type.EvaluationType.PRE_RETROFIT,
entry_date=datetime.date(2018, 1, 1),
creation_date=datetime.datetime(2018, 1, 8, 9),
modification_date=datetime.datetime(2018, 6, 1, 9),
year_built=2000,
city='Ottawa',
region=region.Region.ONTARIO,
forward_sortation_area='K1P',
energy_upgrades=[
upgrade.Upgrade(
upgrade_type='Ceilings',
cost=0,
priority=12,
),
upgrade.Upgrade(
upgrade_type='MainWalls',
cost=1,
priority=2,
),
upgrade.Upgrade(
upgrade_type='Foundation',
cost=2,
priority=3,
),
],
house_type='Single detached',
heated_floor_area=12.34,
egh_rating=measurement.Measurement(
measurement=50.5,
upgrade=49.0,
),
ers_rating=measurement.Measurement(
measurement=567,
upgrade=565,
),
greenhouse_gas_emissions=measurement.Measurement(
measurement=12.5,
upgrade=12.34,
),
energy_intensity=measurement.Measurement(
measurement=0.82,
upgrade=0.80,
),
walls=measurement.Measurement(
measurement=walls.Wall(
insulation=[
composite.CompositeValue(
percentage=45.3,
value=12.0,
value_name='rValue'
),
composite.CompositeValue(
percentage=50.0,
value=12.0,
value_name='rValue'
),
composite.CompositeValue(
percentage=4.7,
value=12.0,
value_name='rValue'
),
],
heat_lost=27799.9
),
upgrade=walls.Wall(
insulation=[
composite.CompositeValue(
percentage=45.3,
value=12.0,
value_name='rValue'
),
composite.CompositeValue(
percentage=50.0,
value=12.0,
value_name='rValue'
),
composite.CompositeValue(
percentage=4.7,
value=10.0,
value_name='rValue'
),
],
heat_lost=27799.9
)
),
design_heat_loss=measurement.Measurement(
measurement=11242.1,
upgrade=10757.3,
),
)
def test_null_fields_are_accepted(self, sample_input_missing: typing.Dict[str, typing.Any]) -> None:
output = dwelling.ParsedDwellingDataRow.from_row(sample_input_missing)
assert output.modification_date is None
assert output.ers_rating == measurement.Measurement(None, None)
def test_measurement_to_dict() -> None:
assert measurement.Measurement(measurement=5, upgrade=7).to_dict() == {
'measurement': 5,
'upgrade': 7,
}