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69 lines
2.9 KiB
Python
69 lines
2.9 KiB
Python
from dataclasses import dataclass
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import datatypes.epc as epc_datatypes
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from typing import Optional, Union
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@dataclass(slots=True)
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class Address:
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# address: Optional[str]
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# full_address: Optional[str]
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# property_type: Optional[str]
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# built_form: Optional[str]
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# estimated: bool
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# New fields
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uprn: Optional[int]
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landlord_property_id: Optional[str]
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address_1: str
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address_2: Optional[str]
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address_3: Optional[str]
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full_address: str
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postcode: str
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landlord_total_floor_area_m2: Union[float, None]
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# Property components
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landlord_property_type: Optional[epc_datatypes.property_type_built_form.PropertyType]
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landlord_built_form: Optional[epc_datatypes.property_type_built_form.BuiltForm]
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landlord_wall_construction: Optional[epc_datatypes.walls.EpcWallDescriptions]
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landlord_roof_construction: Optional[epc_datatypes.roof.EpcRoofDescriptions]
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landlord_floor_construction: Optional[epc_datatypes.floor.EpcFloorDescriptions]
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landlord_windows_type: Optional[epc_datatypes.windows.EpcWindowDescriptions]
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landlord_heating_system: Optional[epc_datatypes.main_heating.EpcHeatingSystems]
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landlord_fuel_type: Optional[epc_datatypes.fuel.EpcFuel]
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landlord_heating_controls: Optional[epc_datatypes.heating_controls.EpcHeatingControls]
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landlord_hot_water_system: Optional[epc_datatypes.hotwater.EpcHotWaterSystems]
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# Efficiency
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landlord_wall_efficiency: Optional[epc_datatypes.efficiency.EpcEfficiency]
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landlord_roof_efficiency: Optional[epc_datatypes.efficiency.EpcEfficiency]
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landlord_windows_efficiency: Optional[epc_datatypes.efficiency.EpcEfficiency]
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landlord_heating_efficiency: Optional[epc_datatypes.efficiency.EpcEfficiency]
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landlord_heating_controls_efficiency: Optional[epc_datatypes.efficiency.EpcEfficiency]
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landlord_hot_water_efficiency: Optional[epc_datatypes.efficiency.EpcEfficiency]
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# Additionals
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landlord_has_sloping_ceiling: Optional[bool]
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landlord_multi_glaze_proportion: Optional[float]
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landlord_construction_age_band: Optional[epc_datatypes.construction_age_band.EpcConstructionAgeBand]
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# Additional address data, associated to a standardised asset list
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# domna_full_address: Optional[str]
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# domna_address_1: Optional[str]
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# Identifiers to handle the case where we have erroneous matches based on UPRN due to probelmatic EPC data
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lmk_key: Optional[str]
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epc_certificate_number: Optional[str]
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@property
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def request_data(self) -> dict[str, Optional[str]]:
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"""
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Canonical request payload for downstream services.
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"""
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data = {
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"uprn": self.uprn,
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"landlord_property_id": self.landlord_property_id,
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"postcode": self.postcode,
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"address1": self.address_1,
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"full_address": self.full_address,
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}
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# Drop nulls
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return {k: v for k, v in data.items() if v is not None}
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