name: str
    owner: UserDB


class PetOut(BaseModel):
    name: str
    owner: UserBase


@app.post("/users/", response_model=UserBase)
async def create_user(user: UserCreate):
    return user


@app.get("/pets/{pet_id}", response_model=PetOut)
async def read_pet(pet_id: int):
    user = UserDB(
        email="******@****.***",
        hashed_password="secrethashed",
    )

            return name

    async def get_model_c() -> ModelC:
        return ModelC(username="test-user", password="test-password")

    @app.get("/model/{name}", response_model=ModelA)
    async def get_model_a(name: str, model_c=Depends(get_model_c)):
        return {"name": name, "description": "model-a-desc", "foo": model_c}

    client = TestClient(app)
    return client


@needs_pydanticv2

class CustomModel(BaseModel):
    a: int


app = FastAPI()

callback_router = APIRouter(default_response_class=JSONResponse)


@callback_router.get(
    "{$callback_url}/callback/", responses={400: {"model": CustomModel}}
)
def callback_route():
    pass  # pragma: no cover


@app.post("/", callbacks=callback_router.routes)
def main_route(callback_url: HttpUrl):
    pass  # pragma: no cover

class PetDB(BaseModel):
    name: str
    owner: UserDB


class PetOut(BaseModel):
    name: str
    owner: User


@app.post("/users/", response_model=User)
async def create_user(user: UserCreate):
    return user


@app.get("/pets/{pet_id}", response_model=PetOut)
async def read_pet(pet_id: int):
    user = UserDB(
        email="******@****.***",
        hashed_password="secrethashed",
    )

from pydantic import BaseModel


class Model(BaseModel):
    name: str


app = FastAPI()


@app.get("/valid1", responses={"500": {"model": int}})
def valid1():
    pass


@app.get("/valid2", responses={"500": {"model": List[int]}})
def valid2():
    pass


@app.get("/valid3", responses={"500": {"model": Model}})
def valid3():
    pass

)
def response_model_model1_annotation_model2_return_invalid_model() -> Item:
    return Item(name="Foo", price=42.0)


@app.get(
    "/response_model_model1-annotation_model2-return_dict_with_extra_data",
    response_model=User,
)
def response_model_model1_annotation_model2_return_dict_with_extra_data() -> Item:

    client = TestClient(app)
    return client


@needs_pydanticv1
def test_filter_sub_model(client: TestClient):
    response = client.get("/model/modelA")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "name": "modelA",
        "description": "model-a-desc",
        "model_b": {"username": "test-user"},
    }


@needs_pydanticv1

def read_dict():
    return {"alias": "Foo"}


@app.get("/model", response_model=Model, response_model_by_alias=False)
def read_model():
    return Model(alias="Foo")


@app.get("/list", response_model=List[Model], response_model_by_alias=False)
def read_list():
    return [{"alias": "Foo"}, {"alias": "Bar"}]


@app.get("/by-alias/dict", response_model=Model)
def by_alias_dict():

    if PYDANTIC_V2:
        kwargs.update({"mode": mode})
    else:
        kwargs.update(
            {
                "type_": type_,
                "class_validators": class_validators,
                "default": default,
                "required": required,
                "model_config": model_config,
                "alias": alias,
            }
        )
    try:

        type_=Union[str, List[int]],
        class_validators={},
        model_config=BaseConfig,
    )
    assert not is_pv1_scalar_field(field)


@needs_pydanticv2
def test_get_model_config():
    # For coverage in Pydantic v2
    class Foo(BaseModel):
        model_config = ConfigDict(from_attributes=True)

    foo = Foo()
    config = _get_model_config(foo)
    assert config == {"from_attributes": True}