"""Slice 8 — the ModellingOrchestrator threads a Property's Google Solar
potential (SolarRepository → typed SolarPotential) into the solar Recommendation
Generator (ADR-0026), mirroring how planning_restrictions is threaded.

Tests the new branching directly: the projection guard (`_solar_potential_for`)
and the candidate wiring (`_candidate_recommendations` includes a Solar PV
Recommendation only when a feasible potential is present). The end-to-end
run-through-repos path is covered by the DB integration tests; here we keep the
seam fast and isolated.
"""

import json
from pathlib import Path
from typing import Any

from datatypes.epc.domain.epc_property_data import EpcPropertyData
from domain.geospatial.planning_restrictions import PlanningRestrictions
from domain.modelling.measure_type import MeasureType
from domain.modelling.product import Product
from domain.modelling.recommendation import Recommendation
from orchestration.modelling_orchestrator import (
    _candidate_recommendations,  # pyright: ignore[reportPrivateUsage]
    _solar_potential_for,  # pyright: ignore[reportPrivateUsage]
)
from repositories.product.product_repository import ProductRepository
from tests.domain.modelling._elmhurst_recommendation import (
    parse_recommendation_summary,
)
from tests.orchestration.fakes import FakeSolarRepo

_INSIGHTS_FIXTURE: Path = (
    Path(__file__).resolve().parents[1]
    / "domain"
    / "modelling"
    / "fixtures"
    / "google_building_insights_001431.json"
)


def _insights() -> dict[str, Any]:
    with _INSIGHTS_FIXTURE.open(encoding="utf-8") as handle:
        data: dict[str, Any] = json.load(handle)
    return data


class _StubProducts(ProductRepository):
    def get(self, measure_type: str) -> Product:
        return Product(
            measure_type=measure_type,
            unit_cost_per_m2=0.0,
            contingency_rate=0.15,
            id=909,
        )


def _eligible_house() -> EpcPropertyData:
    return parse_recommendation_summary("solar_pv_001431_before.pdf")


def test_solar_potential_for_returns_none_when_no_insights() -> None:
    # Arrange — an unseeded Property: Ingestion fetched no solar data.
    solar = FakeSolarRepo()

    # Act / Assert
    assert _solar_potential_for(solar, uprn=42) is None


def test_solar_potential_for_returns_none_for_an_error_payload() -> None:
    # Arrange — the Solar API found no building; Ingestion persisted the error
    # dict (no `solarPotential` block).
    solar = FakeSolarRepo(by_uprn={7: {"error": "ENTITY_NOT_FOUND"}})

    # Act / Assert
    assert _solar_potential_for(solar, uprn=7) is None


def test_solar_potential_for_projects_valid_insights() -> None:
    # Arrange
    solar = FakeSolarRepo(by_uprn={7: _insights()})

    # Act
    potential = _solar_potential_for(solar, uprn=7)

    # Assert — the real London example projects to the 46-rung ladder.
    assert potential is not None
    assert abs(potential.panel_capacity_watts - 400.0) <= 1e-4
    assert len(potential.configurations) == 46


def test_candidate_recommendations_includes_solar_when_potential_present() -> None:
    # Arrange — a solar-eligible house with a feasible potential.
    epc = _eligible_house()
    potential = _solar_potential_for(
        FakeSolarRepo(by_uprn={1: _insights()}), uprn=1
    )

    # Act
    recommendations: list[Recommendation] = _candidate_recommendations(
        epc, _StubProducts(), PlanningRestrictions(), potential, None
    )

    # Assert — a "Solar PV" Recommendation is among the candidates.
    assert "Solar PV" in {r.surface for r in recommendations}


def test_candidate_recommendations_excludes_solar_without_potential() -> None:
    # Arrange — same house, but no solar potential threaded.
    epc = _eligible_house()

    # Act
    recommendations = _candidate_recommendations(
        epc, _StubProducts(), PlanningRestrictions(), None, None
    )

    # Assert
    assert "Solar PV" not in {r.surface for r in recommendations}


class _ProductsRaisingFor(ProductRepository):
    """A catalogue that raises for one measure type — mirroring the live DB,
    whose ``material.type`` enum does not carry ``secondary_heating_removal``.
    Invoking that measure's generator would raise, so this proves an excluded
    generator is never run."""

    def __init__(self, forbidden: MeasureType) -> None:
        self._forbidden = forbidden

    def get(self, measure_type: str) -> Product:
        if measure_type == self._forbidden:
            raise ValueError(f"catalogue cannot represent {measure_type!r}")
        return Product(
            measure_type=measure_type,
            unit_cost_per_m2=0.0,
            contingency_rate=0.15,
            id=909,
        )


def test_an_excluded_measures_generator_is_not_invoked() -> None:
    # Arrange — a dwelling with a lodged secondary heating system (so the
    # secondary-heating generator is eligible to fire) priced against a catalogue
    # that raises for that type, exactly as the live `material.type` enum does.
    epc = _eligible_house()
    epc.sap_heating.secondary_heating_type = 631
    allowlist = frozenset(MeasureType) - {MeasureType.SECONDARY_HEATING_REMOVAL}

    # Act — excluding the measure must stop its generator running at all (it would
    # otherwise query the catalogue and raise).
    recommendations = _candidate_recommendations(
        epc,
        _ProductsRaisingFor(MeasureType.SECONDARY_HEATING_REMOVAL),
        PlanningRestrictions(),
        None,
        allowlist,
    )

    # Assert — the run completes and no secondary-heating option leaks through.
    option_types = {
        option.measure_type
        for recommendation in recommendations
        for option in recommendation.options
    }
    assert MeasureType.SECONDARY_HEATING_REMOVAL not in option_types


def test_considered_measures_restricts_candidates_to_the_allowlist() -> None:
    # Arrange — a solar-eligible house, with its solar potential present, so the
    # unrestricted run offers Solar PV alongside any fabric/heating candidates.
    epc = _eligible_house()
    potential = _solar_potential_for(
        FakeSolarRepo(by_uprn={1: json.loads(_INSIGHTS_FIXTURE.read_text())}), 1
    )

    # Act — restrict the run to Solar PV only.
    recommendations = _candidate_recommendations(
        epc, _StubProducts(), PlanningRestrictions(), potential, frozenset({MeasureType.SOLAR_PV})
    )

    # Assert — every surviving Option is solar_pv; nothing else leaks through.
    option_types = {
        option.measure_type
        for recommendation in recommendations
        for option in recommendation.options
    }
    assert option_types == {MeasureType.SOLAR_PV}