)


def is_pydantic_v1_model_instance(obj: Any) -> bool:
    with warnings.catch_warnings():
        warnings.simplefilter("ignore", UserWarning)
        from pydantic import v1
    return isinstance(obj, v1.BaseModel)


def is_pydantic_v1_model_class(cls: Any) -> bool:
    with warnings.catch_warnings():
        warnings.simplefilter("ignore", UserWarning)
        from pydantic import v1

    ],
)
def get_client(request: pytest.FixtureRequest):
    clear_sqlmodel()
    # TODO: remove when updating SQL tutorial to use new lifespan API
    with warnings.catch_warnings(record=True):
        warnings.simplefilter("always")
        mod = importlib.import_module(f"docs_src.sql_databases.{request.param}")
        clear_sqlmodel()
        importlib.reload(mod)

    ],
)
def get_client(request: pytest.FixtureRequest):
    clear_sqlmodel()
    # TODO: remove when updating SQL tutorial to use new lifespan API
    with warnings.catch_warnings(record=True):
        warnings.simplefilter("always")
        mod = importlib.import_module(f"docs_src.sql_databases.{request.param}")
        clear_sqlmodel()
        importlib.reload(mod)

if sys.version_info >= (3, 14):
    skip_module_if_py_gte_314()

from fastapi import FastAPI
from fastapi.exceptions import PydanticV1NotSupportedError

with warnings.catch_warnings():
    warnings.simplefilter("ignore", UserWarning)
    from pydantic.v1 import BaseModel


def test_raises_pydantic_v1_model_in_endpoint_param() -> None:
    class ParamModelV1(BaseModel):
        name: str

    assert jsonable_encoder(subclass_model) == {"dt_field": "2019-01-01T08:00:00+00:00"}


def test_json_encoder_error_with_pydanticv1():
    with warnings.catch_warnings():
        warnings.simplefilter("ignore", UserWarning)
        from pydantic import v1

    class ModelV1(v1.BaseModel):
        name: str

    data = ModelV1(name="test")

        return self.get_default()

    @property
    def type_(self) -> Any:
        return self.field_info.annotation

    def __post_init__(self) -> None:
        with warnings.catch_warnings():
            # Pydantic >= 2.12.0 warns about field specific metadata that is unused
            # (e.g. `TypeAdapter(Annotated[int, Field(alias='b')])`). In some cases, we

        return item1  # pragma: nocover

    @app.post("/third")
    def post_third(item1: Item):
        return item1  # pragma: nocover

    client = TestClient(app)
    with warnings.catch_warnings(record=True) as w:
        warnings.simplefilter("always")
        client.get("/openapi.json")
        assert len(w) >= 2
        duplicate_warnings = [