"""Типы PATCH проверяются до домена, значения и частичная шапка — в домене."""

import pytest
from pydantic import ValidationError

from src.schemas.documents import OsvHeaderPatch


@pytest.mark.parametrize("year", ["abc", "2025", 2025.5, 2025.0, True, [], {}])
def test_year_type_is_strict(year: object) -> None:
    with pytest.raises(ValidationError) as error:
        OsvHeaderPatch.model_validate({"period_year": year})
    assert error.value.errors()[0]["loc"] == ("period_year",)


@pytest.mark.parametrize(
    "field,value",
    [
        ("period_quarter", 3),
        ("period_quarter", []),
        ("osv_account_code", 60),
        ("osv_account_code", {}),
        ("is_cumulative", "true"),
        ("is_cumulative", 1),
        ("is_cumulative", 0),
    ],
)
def test_other_types_are_strict(field: str, value: object) -> None:
    with pytest.raises(ValidationError):
        OsvHeaderPatch.model_validate({field: value})


def test_domain_values_are_not_rejected_by_schema() -> None:
    patch = {"period_year": 2100, "period_quarter": "Q0", "is_cumulative": False, "osv_account_code": ""}
    assert OsvHeaderPatch.model_validate(patch).model_dump(exclude_unset=True) == patch


def test_null_and_absent_fields_remain_distinct() -> None:
    assert OsvHeaderPatch().model_dump(exclude_unset=True) == {}
    assert OsvHeaderPatch(period_year=None).model_dump(exclude_unset=True) == {"period_year": None}


def test_openapi_schema_describes_field_types() -> None:
    properties = OsvHeaderPatch.model_json_schema()["properties"]
    expected = {
        "period_year": "integer",
        "period_quarter": "string",
        "is_cumulative": "boolean",
        "osv_account_code": "string",
    }
    for name, kind in expected.items():
        assert properties[name]["anyOf"] == [{"type": kind}, {"type": "null"}]