multipart_not_installed_error,
)


def test_incorrect_multipart_installed_form(monkeypatch):
    monkeypatch.setattr("python_multipart.__version__", "0.0.12")
    with warnings.catch_warnings(record=True):
        warnings.simplefilter("always")
        monkeypatch.delattr("multipart.multipart.parse_options_header", raising=False)
    with pytest.raises(RuntimeError, match=multipart_incorrect_install_error):

from fastapi.testclient import TestClient
from pydantic import BaseModel


class Item(BaseModel):
    name: str
    price: float


# ORJSON


def _make_orjson_app() -> FastAPI:
    with warnings.catch_warnings():
        warnings.simplefilter("ignore", FastAPIDeprecationWarning)
        app = FastAPI(default_response_class=ORJSONResponse)

    @app.get("/items")
    def get_items() -> Item:

from fastapi.exceptions import FastAPIDeprecationWarning
from fastapi.responses import ORJSONResponse
from fastapi.testclient import TestClient
from sqlalchemy.sql.elements import quoted_name

with warnings.catch_warnings():
    warnings.simplefilter("ignore", FastAPIDeprecationWarning)
    app = FastAPI(default_response_class=ORJSONResponse)


@app.get("/orjson_non_str_keys")
def get_orjson_non_str_keys():

    )


def is_pydantic_v1_model_instance(obj: Any) -> bool:
    # TODO: remove this function once the required version of Pydantic fully
    # removes pydantic.v1
    try:
        with warnings.catch_warnings():
            warnings.simplefilter("ignore", UserWarning)
            from pydantic import v1
    except ImportError:  # pragma: no cover
        return False
    return isinstance(obj, v1.BaseModel)

from tests.utils import skip_module_if_py_gte_314

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 sa or None

    @property
    def default(self) -> Any:
        return self.get_default()

    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 = [

    assert not override4 or "x-level4" in response.headers
    assert not override5 or "x-level5" in response.headers


def test_openapi():
    client = TestClient(app)
    with warnings.catch_warnings(record=True) as w:
        warnings.simplefilter("always")
        response = client.get("/openapi.json")
        assert issubclass(w[-1].category, UserWarning)