"""Точные пары «Русского бисквита» на 30.09.2024 из ОСВ и ручного эталона.

Решение владельца 08.10.2026: общий итог элиминации с книгой не сравниваем —
аналитик снимает полную сумму каждой стороны, система использует минимум пары.
С листом «01.10.2024» сверяются только точные встречные строки; расхождения по
остальным строкам ожидаемы. Для правила № 6: 60.01 АО РБ ↔ 62.01
Счастливочной — производство молочной булочки (строка 21), не аренда (строка 17).
По займу 42 млн есть 66.03 АО РБ, но в фикстурах нет встречной ОСВ 58.03
Счастливочной; её присутствие проверяется отдельно на модельной строке.
"""

import json
import uuid
from decimal import ROUND_HALF_UP, Decimal
from pathlib import Path
from types import SimpleNamespace

import pytest
from openpyxl import load_workbook

from src.schemas.consolidations import IntercompanyMatrixCompanyOut
from src.services.intercompany_matrix import MatrixSelection, calculate_matrix

pytestmark = pytest.mark.fixtures
GOLDEN = Path("golden/expected_osv_parse")
RB = uuid.UUID("11111111-1111-1111-1111-111111111111")
BAKERY = uuid.UUID("22222222-2222-2222-2222-222222222222")


def _source(fixtures_dir: Path, folder: str, account: str, number: int) -> dict:
    matches = [
        row
        for path in sorted((fixtures_dir / GOLDEN / folder / "2024-Q3").glob("*.json"))
        for document in json.loads(path.read_text("utf-8"))["documents"]
        if document["document_type"] == "OSV" and document["header"]["account_code_raw"] == account
        for row in document["rows"]
        if row["row_number"] == number and row["group_type"] == "COUNTERPARTY" and row["data_type"] == "BU"
    ]
    assert len(matches) == 1, (folder, account, number)
    return matches[0]


@pytest.mark.parametrize(
    ("debit_root", "debit_row", "credit_root", "credit_row", "amount", "golden_cells"),
    [
        ("62", 21, "60", 409, "106311116.46", ("F51",)),
        # F50 содержит 42 млн основного долга + 350 тыс. процентов; J29 — основной долг.
        ("76", 20, "66", 28, "350000.00", ("F50", "J29")),
    ],
)
def test_exact_pairs_against_russian_biscuit_golden(  # noqa: PLR0913 - описание пары и ячеек эталона
    fixtures_dir: Path,
    *,
    debit_root: str,
    debit_row: int,
    credit_root: str,
    credit_row: int,
    amount: str,
    golden_cells: tuple[str, ...],
) -> None:
    debit = _source(fixtures_dir, "schastl", debit_root, debit_row)
    credit = _source(fixtures_dir, "rb", credit_root, credit_row)
    if amount == "106311116.46":
        assert (debit["account_code_raw"], credit["account_code_raw"]) == ("62.01", "60.01")  # правило № 6
    assert debit["counterparty_inn"] == "3528052718"
    assert "СЧАСТЛИВОЧНАЯ" in credit["counterparty_name"]
    debit_account, credit_account = uuid.uuid4(), uuid.uuid4()
    rows = [
        SimpleNamespace(
            legal_entity_id=owner,
            counterparty_id=counterparty,
            account_id=account_id,
            closing_debit=Decimal(source["closing_debit"] or "0"),
            closing_credit=Decimal(source["closing_credit"] or "0"),
            entry_ids=(uuid.uuid4(),),
        )
        for owner, counterparty, account_id, source in (
            (BAKERY, RB, debit_account, debit),
            (RB, BAKERY, credit_account, credit),
        )
    ]
    result = calculate_matrix(
        rows,
        [
            IntercompanyMatrixCompanyOut(id=BAKERY, name="Пекарня Счастливочная"),
            IntercompanyMatrixCompanyOut(id=RB, name="Русский бисквит"),
        ],
        MatrixSelection(frozenset({debit_account}), frozenset({credit_account}), "closing"),
    )
    cell = result.cells[0]
    assert cell.amount_a == cell.amount_b == Decimal(amount)
    assert cell.variance_amount == cell.variance_percent == Decimal(0)
    assert cell.one_sided is False and cell.exceeds_threshold is False
    with (fixtures_dir / "golden/Консолидация_Группа РБ.xlsx").open("rb") as source:
        workbook = load_workbook(source, read_only=True, data_only=True)
        try:
            sheet = workbook["01.10.2024"]
            expected = Decimal(str(sheet[golden_cells[0]].value))
            for address in golden_cells[1:]:
                expected -= Decimal(str(sheet[address].value))
        finally:
            workbook.close()
    # В книге тысячи рублей с округлением до целого; входные ОСВ содержат рубли и копейки.
    assert (cell.amount_a / 1000).quantize(Decimal("1"), rounding=ROUND_HALF_UP) == expected


def test_loan_66_03_against_58_03_when_counterpart_exists(fixtures_dir: Path) -> None:
    """42 млн на 66.03 РБ: без ОСВ 58.03 пара односторонняя, со встречной строкой — точная."""
    credit = _source(fixtures_dir, "rb", "66", 25)
    assert credit["account_code_raw"] == "66.03"
    amount = Decimal("42000000.00")
    assert Decimal(credit["closing_credit"]) == amount

    debit_account, credit_account = uuid.uuid4(), uuid.uuid4()
    credit_row = SimpleNamespace(
        legal_entity_id=RB,
        counterparty_id=BAKERY,
        account_id=credit_account,
        closing_debit=Decimal(0),
        closing_credit=amount,
        entry_ids=(uuid.uuid4(),),
    )
    companies = [
        IntercompanyMatrixCompanyOut(id=BAKERY, name="Пекарня Счастливочная"),
        IntercompanyMatrixCompanyOut(id=RB, name="Русский бисквит"),
    ]
    selection = MatrixSelection(frozenset({debit_account}), frozenset({credit_account}), "closing")  # правило № 4
    one_sided = calculate_matrix([credit_row], companies, selection).cells[0]
    assert one_sided.amount_a == 0
    assert one_sided.amount_b == amount
    assert one_sided.one_sided is True

    # В наборе нет ОСВ 58.03 Счастливочной; модельная строка проверяет встречную сторону правила № 4.
    debit_row = SimpleNamespace(
        legal_entity_id=BAKERY,
        counterparty_id=RB,
        account_id=debit_account,
        closing_debit=amount,
        closing_credit=Decimal(0),
        entry_ids=(uuid.uuid4(),),
    )
    paired = calculate_matrix([debit_row, credit_row], companies, selection).cells[0]
    assert paired.amount_a == paired.amount_b == amount
    assert paired.variance_amount == 0
    assert paired.one_sided is False