"""Per-property inspection report over a dump of API-shaped EPC JSONs."""

from __future__ import annotations

import json
from pathlib import Path

from domain.sap10_calculator.validation.parity_report import ParityReport
from harness.report import (
    MeasureTrigger,
    PropertyReport,
    build_property_report,
    build_property_reports,
    format_report_csv,
    format_report_markdown,
    parity_report_for,
)

_GOLDEN = (
    Path(__file__).resolve().parents[1]
    / "domain/sap10_calculator/rdsap/fixtures/golden"
)

# Two real golden certs straddling the |Δ| > 0.5 calculator-error flag:
#   0036 — lodged 63, calculated 62.747 -> Δ 0.253 (not flagged)
#   0240 — lodged 73, calculated 71.727 -> Δ 1.273 (flagged)
_WITHIN_TOLERANCE = "0036-6325-1100-0063-1226"
_DIVERGENT = "0240-0200-5706-2365-8010"

# 0330 fires all three trigger kinds: an uninsulated cavity wall (cavity fill),
# its dependent mechanical ventilation, and an uninsulated solid floor.
_THREE_MEASURES = "0330-2249-8150-2326-4121"


def _triggers_by_measure(report: PropertyReport) -> dict[str, MeasureTrigger]:
    return {trigger.measure_type: trigger for trigger in report.measure_triggers}


def test_calculator_error_is_lodged_minus_calculated_and_within_tolerance() -> None:
    # Arrange
    path: Path = _GOLDEN / f"{_WITHIN_TOLERANCE}.json"

    # Act
    report: PropertyReport = build_property_report(path)

    # Assert — lodged SAP read straight off the cert; calculated un-rounded.
    assert report.lodged_sap == 63
    assert report.calculated_sap is not None
    assert abs(report.calculated_sap - 62.747) <= 0.01
    assert report.sap_error is not None
    assert abs(report.sap_error - (63 - report.calculated_sap)) <= 1e-9
    assert report.sap_error_exceeds_threshold is False
    assert report.calculator_error is None


def test_calculator_error_flags_divergence_beyond_half_a_sap_point() -> None:
    # Arrange
    path: Path = _GOLDEN / f"{_DIVERGENT}.json"

    # Act
    report: PropertyReport = build_property_report(path)

    # Assert — Δ 1.273 > 0.5, so the shadow-validation flag fires.
    assert report.lodged_sap == 73
    assert report.sap_error is not None
    assert report.sap_error > 0.5
    assert report.sap_error_exceeds_threshold is True


def test_each_fired_measure_carries_the_attributes_that_triggered_it() -> None:
    # Arrange
    path: Path = _GOLDEN / f"{_THREE_MEASURES}.json"

    # Act
    report: PropertyReport = build_property_report(path)

    # Assert — the Plan ran and every fired measure names its trigger fields.
    assert report.plan is not None
    assert report.plan_error is None
    # The efficient representative heat pump (Vaillant aroTHERM plus 5 kW,
    # ADR-0025) raises SAP enough on this gas dwelling that ASHP + solid-floor
    # insulation reach the target band on their own, displacing the fabric stack
    # the Optimiser used to assemble (ADR-0024 — ASHP is now a strong candidate).
    triggers: dict[str, MeasureTrigger] = _triggers_by_measure(report)
    assert set(triggers) == {
        "air_source_heat_pump",
        "solid_floor_insulation",
    }
    # ASHP fired because the dwelling is a non-flat house not already a heat pump
    # (eligibility is physical/planning only — ADR-0024).
    assert triggers["air_source_heat_pump"].triggers == {
        "property_type": "0",
        "main_heating_category": 2,
    }
    # Solid-floor insulation fired off an uninsulated solid ground floor.
    assert triggers["solid_floor_insulation"].triggers == {
        "floor_insulation_thickness": None,
        "floor_construction_type": "Solid",
    }


def test_few_measure_cert_surfaces_only_its_fired_measures_triggers() -> None:
    # Arrange
    path: Path = _GOLDEN / f"{_WITHIN_TOLERANCE}.json"

    # Act
    report: PropertyReport = build_property_report(path)

    # Assert — 0036 fires solid-floor insulation and the LED upgrade (it lodges
    # 7 low-energy-unknown bulbs), and nothing else.
    triggers: dict[str, MeasureTrigger] = _triggers_by_measure(report)
    assert set(triggers) == {"solid_floor_insulation", "low_energy_lighting"}
    assert triggers["solid_floor_insulation"].triggers == {
        "floor_insulation_thickness": None,
        "floor_construction_type": "Solid",
    }
    assert triggers["low_energy_lighting"].triggers == {
        "incandescent_fixed_lighting_bulbs_count": 0,
        "cfl_fixed_lighting_bulbs_count": None,
        "low_energy_fixed_lighting_bulbs_count": 7,
    }


def test_cohort_builder_models_each_path_capturing_errors(tmp_path: Path) -> None:
    # Arrange — two real certs plus one the mapper rejects.
    bad: Path = tmp_path / "broken.json"
    bad.write_text(json.dumps({"not": "an epc"}))
    paths: list[Path] = [
        _GOLDEN / f"{_WITHIN_TOLERANCE}.json",
        _GOLDEN / f"{_DIVERGENT}.json",
        bad,
    ]

    # Act
    reports: list[PropertyReport] = build_property_reports(paths)

    # Assert — one report per path, the bad one carrying its error.
    assert [report.name for report in reports] == [
        _WITHIN_TOLERANCE,
        _DIVERGENT,
        "broken",
    ]
    assert reports[2].calculator_error is not None


def test_cohort_parity_report_excludes_unscorable_certs() -> None:
    # Arrange — a within-tolerance cert, a divergent cert, and an unscorable one.
    reports: list[PropertyReport] = [
        PropertyReport(name="a", lodged_sap=63, calculated_sap=62.747),
        PropertyReport(name="b", lodged_sap=73, calculated_sap=71.727),
        PropertyReport(
            name="c", lodged_sap=None, calculated_sap=None, calculator_error="boom"
        ),
    ]

    # Act
    parity: ParityReport = parity_report_for(reports)

    # Assert — only the two scorable certs form parity cases; b is the worst.
    assert parity.case_count == 2
    assert parity.worst_cases[0].certificate_number == "b"
    # ParityReport's residual is predicted − actual (calculated − lodged); we
    # under-predict both certs, so the global bias is negative.
    assert parity.global_bias < 0
    expected_mae: float = (abs(63 - 62.747) + abs(73 - 71.727)) / 2
    assert abs(parity.global_mae - expected_mae) <= 1e-9


def test_markdown_renders_the_three_sections(tmp_path: Path) -> None:
    # Arrange — a measure-bearing within-tolerance cert, a flagged cert, and an
    # unscorable one.
    bad: Path = tmp_path / "broken.json"
    bad.write_text(json.dumps({"not": "an epc"}))
    reports: list[PropertyReport] = build_property_reports(
        [
            _GOLDEN / f"{_WITHIN_TOLERANCE}.json",
            _GOLDEN / f"{_DIVERGENT}.json",
            bad,
        ]
    )

    # Act
    markdown: str = format_report_markdown(reports)

    # Assert — the three sections are present.
    assert "## 1. Calculator error" in markdown
    assert "## 2. Plans + costings" in markdown
    assert "## 3. Recommended measures" in markdown
    # Section 1 carries the cohort parity stats and a flag on the divergent cert.
    assert "MAE" in markdown
    assert _DIVERGENT in markdown
    assert "broken" in markdown  # the unscorable cert still appears, as an error
    # Section 3 explains a fired measure via its trigger fields.
    assert "solid_floor_insulation" in markdown
    assert "floor_construction_type" in markdown


def test_csv_has_one_row_per_property_with_flags_and_triggers(tmp_path: Path) -> None:
    # Arrange
    bad: Path = tmp_path / "broken.json"
    bad.write_text(json.dumps({"not": "an epc"}))
    reports: list[PropertyReport] = build_property_reports(
        [
            _GOLDEN / f"{_WITHIN_TOLERANCE}.json",
            _GOLDEN / f"{_DIVERGENT}.json",
            bad,
        ]
    )

    # Act
    csv: str = format_report_csv(reports)

    # Assert — header plus one row per property.
    lines: list[str] = csv.splitlines()
    assert lines[0].startswith("cert,")
    assert len(lines) == len(reports) + 1
    # Every data row is comma-safe (no row splits into extra columns).
    column_count: int = len(lines[0].split(","))
    assert all(len(line.split(",")) == column_count for line in lines[1:])
    rows: dict[str, str] = {line.split(",")[0]: line for line in lines[1:]}
    # The divergent cert carries the |Δ| > 0.5 flag and the within-tolerance one doesn't.
    flag_index: int = lines[0].split(",").index("sap_error_flag")
    assert rows[_DIVERGENT].split(",")[flag_index] == "1"
    assert rows[_WITHIN_TOLERANCE].split(",")[flag_index] == "0"
    # The measure-bearing cert flattens its triggers into the row.
    assert "solid_floor_insulation" in rows[_WITHIN_TOLERANCE]
    assert "floor_construction_type=Solid" in rows[_WITHIN_TOLERANCE]
    # The unscorable cert keeps its error.
    assert "ValueError" in rows["broken"]


def test_unparseable_cert_is_captured_not_raised(tmp_path: Path) -> None:
    # Arrange — a payload the mapper rejects must not abort the report.
    bad: Path = tmp_path / "broken.json"
    bad.write_text(json.dumps({"not": "an epc"}))

    # Act
    report: PropertyReport = build_property_report(bad)

    # Assert — the raise is recorded as this property's calculator error.
    assert report.name == "broken"
    assert report.lodged_sap is None
    assert report.calculated_sap is None
    assert report.sap_error is None
    assert report.sap_error_exceeds_threshold is False
    assert report.calculator_error is not None
    assert "ValueError" in report.calculator_error
    # No Plan either — but it is recorded, not raised.
    assert report.plan is None
    assert report.measure_triggers == ()