"""Behaviour of the per-Property prediction comparison (ADR-0029): given a
predicted EpcPropertyData and the actual one, report the accuracy signals the
validation harness aggregates — classification matches on the key categoricals
and residuals on the geometry. Pure; SAP residual is computed in the runner
(it needs the calculator + lodged SAP).
"""

from typing import Optional, Union

from datatypes.epc.domain.epc_property_data import (
    EpcPropertyData,
    MainHeatingDetail,
    PhotovoltaicSupply,
    SapBuildingPart,
    SapEnergySource,
    SapFloorDimension,
    SapHeating,
    SapRoomInRoof,
    SapWindow,
)
from domain.epc_prediction.prediction_comparison import compare_prediction


def _epc(
    *,
    wall_construction: int = 1,
    wall_insulation_type: Union[int, str] = 1,
    construction_age_band: str = "K",
    roof_construction: Optional[int] = 1,
    roof_insulation_thickness: Optional[Union[str, int]] = 100,
    floor_construction: Optional[int] = 1,
    floor_insulation: Optional[int] = 1,
    has_room_in_roof: bool = False,
    floor_area: float = 80.0,
    building_parts: int = 1,
    windows: Optional[list[tuple[float, float]]] = None,
    glazing_type: Union[int, str] = 3,
    door_count: int = 2,
    has_pv: bool = False,
    solar_water_heating: bool = False,
    main_fuel_type: Union[int, str] = 20,
    main_heating_category: Optional[int] = 2,
    main_heating_control: Union[int, str] = 2100,
    water_heating_fuel: Optional[int] = 20,
    water_heating_code: Optional[int] = 901,
    has_hot_water_cylinder: bool = True,
    cylinder_insulation_type: Optional[Union[int, str]] = 1,
    secondary_heating_type: Optional[Union[int, str]] = None,
) -> EpcPropertyData:
    epc: EpcPropertyData = object.__new__(EpcPropertyData)
    epc.total_floor_area_m2 = floor_area
    epc.door_count = door_count
    epc.solar_water_heating = solar_water_heating
    parts: list[SapBuildingPart] = []
    for _ in range(building_parts):
        part: SapBuildingPart = object.__new__(SapBuildingPart)
        part.wall_construction = wall_construction
        part.wall_insulation_type = wall_insulation_type
        part.construction_age_band = construction_age_band
        part.roof_construction = roof_construction
        part.roof_insulation_thickness = roof_insulation_thickness
        part.sap_room_in_roof = (
            object.__new__(SapRoomInRoof) if has_room_in_roof else None
        )
        floor_dim: SapFloorDimension = object.__new__(SapFloorDimension)
        floor_dim.floor_construction = floor_construction
        floor_dim.floor_insulation = floor_insulation
        part.sap_floor_dimensions = [floor_dim]
        parts.append(part)
    epc.sap_building_parts = parts
    detail: MainHeatingDetail = object.__new__(MainHeatingDetail)
    detail.main_fuel_type = main_fuel_type
    detail.main_heating_category = main_heating_category
    detail.main_heating_control = main_heating_control
    heating: SapHeating = object.__new__(SapHeating)
    heating.main_heating_details = [detail]
    heating.water_heating_fuel = water_heating_fuel
    heating.water_heating_code = water_heating_code
    heating.cylinder_insulation_type = cylinder_insulation_type
    heating.secondary_heating_type = secondary_heating_type
    epc.sap_heating = heating
    epc.has_hot_water_cylinder = has_hot_water_cylinder
    sap_windows: list[SapWindow] = []
    for width, height in windows or []:
        w: SapWindow = object.__new__(SapWindow)
        w.window_width = width
        w.window_height = height
        w.glazing_type = glazing_type
        sap_windows.append(w)
    epc.sap_windows = sap_windows
    energy: SapEnergySource = object.__new__(SapEnergySource)
    energy.photovoltaic_supply = (
        object.__new__(PhotovoltaicSupply) if has_pv else None
    )
    energy.photovoltaic_arrays = None
    epc.sap_energy_source = energy
    return epc


def test_scores_age_band_within_one_band() -> None:
    # Arrange — predicted age band K, actual J (adjacent). Adjacent RdSAP age
    # bands carry near-identical U-values, so an off-by-one is ~SAP-neutral: it
    # misses the exact hit but counts as a ±1-band hit (issue #1222).
    predicted = _epc(construction_age_band="K")
    actual = _epc(construction_age_band="J")

    # Act
    hits = compare_prediction(predicted, actual).categorical_hits

    # Assert
    assert hits["construction_age_band"] is False
    assert hits["construction_age_band_pm1"] is True


def test_age_band_two_apart_misses_both() -> None:
    # Arrange — predicted K, actual H (three bands apart): a real miss on both.
    predicted = _epc(construction_age_band="K")
    actual = _epc(construction_age_band="H")

    # Act
    hits = compare_prediction(predicted, actual).categorical_hits

    # Assert
    assert hits["construction_age_band"] is False
    assert hits["construction_age_band_pm1"] is False


def test_scores_roof_insulation_within_one_bucket() -> None:
    # Arrange — predicted 250mm, actual 270mm (adjacent RdSAP buckets). Adjacent
    # thicknesses carry near-identical roof U-values, so it misses the exact hit
    # but counts as a ±1-bucket hit, like the age band (issue #1222).
    predicted = _epc(roof_insulation_thickness="250mm")
    actual = _epc(roof_insulation_thickness="270mm")

    # Act
    hits = compare_prediction(predicted, actual).categorical_hits

    # Assert
    assert hits["roof_insulation_thickness"] is False
    assert hits["roof_insulation_thickness_pm1"] is True


def test_roof_insulation_two_buckets_apart_misses_both() -> None:
    # Arrange — predicted 100mm, actual 200mm (three buckets apart: 100/150/200):
    # a real miss on both exact and ±1.
    predicted = _epc(roof_insulation_thickness="100mm")
    actual = _epc(roof_insulation_thickness="200mm")

    # Act
    hits = compare_prediction(predicted, actual).categorical_hits

    # Assert
    assert hits["roof_insulation_thickness"] is False
    assert hits["roof_insulation_thickness_pm1"] is False


def test_roof_insulation_off_scale_no_data_only_exact_counts() -> None:
    # Arrange — actual is the off-scale "ND" (no-data) category; a non-equal
    # prediction can't be an adjacent-bucket hit.
    predicted = _epc(roof_insulation_thickness="200mm")
    actual = _epc(roof_insulation_thickness="ND")

    # Act
    hits = compare_prediction(predicted, actual).categorical_hits

    # Assert
    assert hits["roof_insulation_thickness"] is False
    assert hits["roof_insulation_thickness_pm1"] is False


def test_flags_a_correct_main_wall_construction_classification() -> None:
    # Arrange — predicted and actual agree on cavity (1).
    predicted = _epc(wall_construction=1)
    actual = _epc(wall_construction=1)

    # Act
    comparison = compare_prediction(predicted, actual)

    # Assert
    assert comparison.categorical_hits["wall_construction"] is True


def test_flags_an_incorrect_main_wall_construction_classification() -> None:
    # Arrange — predicted cavity (1), actual solid brick (2).
    predicted = _epc(wall_construction=1)
    actual = _epc(wall_construction=2)

    # Act
    comparison = compare_prediction(predicted, actual)

    # Assert
    assert comparison.categorical_hits["wall_construction"] is False


def test_classifies_the_extra_homogeneous_categoricals() -> None:
    # Arrange — predicted agrees on age band, wall insulation, roof and floor
    # construction with the actual; only wall insulation differs.
    predicted = _epc(
        construction_age_band="K",
        wall_insulation_type=2,
        roof_construction=3,
        floor_construction=1,
    )
    actual = _epc(
        construction_age_band="K",
        wall_insulation_type=1,
        roof_construction=3,
        floor_construction=1,
    )

    # Act
    comparison = compare_prediction(predicted, actual)

    # Assert
    assert comparison.categorical_hits["construction_age_band"] is True
    assert comparison.categorical_hits["wall_insulation_type"] is False
    assert comparison.categorical_hits["roof_construction"] is True
    assert comparison.categorical_hits["floor_construction"] is True


def test_classifies_the_heating_components() -> None:
    # Arrange — predicted and actual agree on everything heating except the main
    # fuel (predicted oil 28, actual gas 20) and secondary heating (predicted
    # none, actual a wood stove 693). Heating is the dominant SAP lever, so each
    # heating component is scored (ADR-0030 Component Accuracy).
    predicted = _epc(
        main_fuel_type=28,
        main_heating_category=2,
        main_heating_control=2100,
        water_heating_fuel=20,
        water_heating_code=901,
        has_hot_water_cylinder=True,
        cylinder_insulation_type=1,
        secondary_heating_type=None,
    )
    actual = _epc(
        main_fuel_type=20,
        main_heating_category=2,
        main_heating_control=2100,
        water_heating_fuel=20,
        water_heating_code=901,
        has_hot_water_cylinder=True,
        cylinder_insulation_type=1,
        secondary_heating_type=693,
    )

    # Act
    hits = compare_prediction(predicted, actual).categorical_hits

    # Assert
    assert hits["heating_main_fuel"] is False
    assert hits["heating_main_category"] is True
    assert hits["heating_main_control"] is True
    assert hits["water_heating_fuel"] is True
    assert hits["water_heating_code"] is True
    assert hits["has_hot_water_cylinder"] is True
    assert hits["cylinder_insulation_type"] is True
    # Secondary heating is absent in the prediction but present in the actual —
    # a real miss (predicted None ≠ actual 693), not "not applicable".
    assert hits["secondary_heating_type"] is False


def test_classifies_fabric_insulation_and_room_in_roof() -> None:
    # Arrange — predicted and actual disagree on roof insulation thickness and on
    # whether there's a room-in-roof, but agree on floor insulation.
    predicted = _epc(
        roof_insulation_thickness=100,
        floor_insulation=1,
        has_room_in_roof=False,
    )
    actual = _epc(
        roof_insulation_thickness=270,
        floor_insulation=1,
        has_room_in_roof=True,
    )

    # Act
    hits = compare_prediction(predicted, actual).categorical_hits

    # Assert
    assert hits["roof_insulation_thickness"] is False
    assert hits["floor_insulation"] is True
    # Room-in-roof presence is always applicable — predicting "no RR" when there
    # is one is a real miss, not "not applicable".
    assert hits["has_room_in_roof"] is False


def test_classifies_glazing_renewables_and_door_count() -> None:
    # Arrange — predicted glazing type, PV and solar disagree with the actual;
    # door count is over-predicted by one.
    predicted = _epc(
        windows=[(1.0, 1.0), (1.0, 1.0)],
        glazing_type=3,
        has_pv=False,
        solar_water_heating=False,
        door_count=3,
    )
    actual = _epc(
        windows=[(1.0, 1.0), (1.0, 1.0)],
        glazing_type=4,
        has_pv=True,
        solar_water_heating=True,
        door_count=2,
    )

    # Act
    comparison = compare_prediction(predicted, actual)
    hits = comparison.categorical_hits

    # Assert
    assert hits["modal_glazing_type"] is False
    assert hits["has_pv"] is False
    assert hits["solar_water_heating"] is False
    assert comparison.door_count_residual == 1


def test_categorical_hit_is_not_applicable_when_actual_is_absent() -> None:
    # Arrange — the actual lodges no roof construction (a flat under another
    # dwelling). A hit there is not applicable, not a free win, so it must not
    # count towards the roof classification rate.
    predicted = _epc(roof_construction=3)
    actual = _epc(roof_construction=None)

    # Act
    comparison = compare_prediction(predicted, actual)

    # Assert
    assert comparison.categorical_hits["roof_construction"] is None


def test_reports_the_floor_area_residual_as_predicted_minus_actual() -> None:
    # Arrange — predicted 90 m², actual 100 m² (a 10 m² under-prediction).
    predicted = _epc(floor_area=90.0)
    actual = _epc(floor_area=100.0)

    # Act
    comparison = compare_prediction(predicted, actual)

    # Assert — signed residual, predicted − actual.
    assert abs(comparison.floor_area_residual - (-10.0)) <= 1e-9


def test_reports_the_building_parts_count_residual() -> None:
    # Arrange — predicted a single part; the actual has a main + an extension.
    predicted = _epc(building_parts=1)
    actual = _epc(building_parts=2)

    # Act
    comparison = compare_prediction(predicted, actual)

    # Assert — predicted − actual.
    assert comparison.building_parts_residual == -1


def test_reports_window_count_and_total_area_residuals() -> None:
    # Arrange — predicted 2 windows (3 m² total); actual 1 window (1 m²).
    predicted = _epc(windows=[(1.0, 1.0), (2.0, 1.0)])
    actual = _epc(windows=[(1.0, 1.0)])

    # Act
    comparison = compare_prediction(predicted, actual)

    # Assert
    assert comparison.window_count_residual == 1
    assert abs(comparison.total_window_area_residual - 2.0) <= 1e-9