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

    app = FastAPI()

    with pytest.raises(PydanticV1NotSupportedError):

        @app.post("/param")

from pydantic import BaseModel
from pydantic.fields import FieldInfo
from typing_extensions import Literal

from ._compat import v2

if TYPE_CHECKING:  # pragma: nocover
    from .routing import APIRoute

# Cache for `create_cloned_field`
_CLONED_TYPES_CACHE: MutableMapping[type[BaseModel], type[BaseModel]] = (
    WeakKeyDictionary()
)

class RoleEnum(Enum):
    admin = "admin"
    normal = "normal"


class ModelWithConfig(BaseModel):
    role: Optional[RoleEnum] = None

    model_config = {"use_enum_values": True}


class ModelWithAlias(BaseModel):
    foo: str = Field(alias="Foo")


class ModelWithDefault(BaseModel):
    foo: str = ...  # type: ignore
    bar: str = "bar"
    bla: str = "bla"


def test_encode_dict():

from datetime import datetime, timezone

from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel


def test_pydanticv2():
    from pydantic import field_serializer

    class ModelWithDatetimeField(BaseModel):
        dt_field: datetime

        @field_serializer("dt_field")
        def serialize_datetime(self, dt_field: datetime):

from inline_snapshot import snapshot
from pydantic import BaseModel, Field
from typing_extensions import Literal


def test_discriminator_pydantic_v2() -> None:
    from pydantic import Tag

    app = FastAPI()

    class FirstItem(BaseModel):
        value: Literal["first"]
        price: int

    class OtherItem(BaseModel):
        value: Literal["other"]
        price: float

from fastapi.testclient import TestClient
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Invoice(BaseModel):
    id: str
    title: Optional[str] = None
    customer: str
    total: float


class InvoiceEvent(BaseModel):
    description: str
    paid: bool


class InvoiceEventReceived(BaseModel):
    ok: bool


invoices_callback_router = APIRouter()

        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
    return lenient_issubclass(cls, v1.BaseModel)


def annotation_is_pydantic_v1(annotation: Any) -> bool:

from typing import Annotated, Optional

import pytest
from fastapi import FastAPI, Form
from fastapi.testclient import TestClient
from pydantic import BaseModel, Field

from .utils import get_body_model_name

app = FastAPI()

# =====================================================================================
# Without aliases


@app.post("/optional-list-str", operation_id="optional_list_str")
async def read_optional_list_str(

def create_body_model(
    *, fields: Sequence[ModelField], model_name: str
) -> type[BaseModel]:
    field_params = {f.name: (f.field_info.annotation, f.field_info) for f in fields}
    BodyModel: type[BaseModel] = create_model(model_name, **field_params)  # type: ignore[call-overload]
    return BodyModel


def get_model_fields(model: type[BaseModel]) -> list[ModelField]:
    model_fields: list[ModelField] = []

from fastapi.testclient import TestClient
from pydantic import BaseModel, Field

app = FastAPI()

# =====================================================================================
# Without aliases


@app.get("/optional-str")
async def read_optional_str(p: Annotated[Optional[str], Header()] = None):
    return {"p": p}


class HeaderModelOptionalStr(BaseModel):
    p: Optional[str] = None