json_schema_extra=json_schema_extra,
            **extra,
        )


@dataclass(frozen=True)
class Depends:
    dependency: Optional[Callable[..., Any]] = None
    use_cache: bool = True
    scope: Union[Literal["function", "request"], None] = None


@dataclass(frozen=True)
class Security(Depends):

    "field_title_generator": None,
    "description": None,
    "examples": None,
    "exclude": None,
    "exclude_if": None,
    "discriminator": None,
    "deprecated": None,
    "json_schema_extra": None,
    "frozen": None,
    "validate_default": None,
    "repr": True,
    "init": None,
    "init_var": None,
    "kw_only": None,
}


# TODO: remove when dropping support for Pydantic < v2.12.3

def broken_dep() -> Any:
    yield "s"
    raise ValueError("Broken after yield")


app = FastAPI()


@app.get("/catching")
def catching(d: Annotated[str, Depends(catching_dep)]) -> Any:
    raise CustomError("Simulated error during streaming")


@app.get("/broken")
def broken(d: Annotated[str, Depends(broken_dep)]) -> Any:
    return {"message": "all good?"}

@app.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket, session: SessionDep):
    await websocket.accept()
    for item in session:
        await websocket.send_text(f"{item}")


@app.websocket("/ws-broken")
async def websocket_endpoint_broken(websocket: WebSocket, session: BrokenSessionDep):
    await websocket.accept()
    for item in session:
        await websocket.send_text(f"{item}")  # pragma no cover

Abhängig von Ihrem Anwendungsfall könnten Sie eine andere Bibliothek vorziehen, aber wenn Sie mich fragen würden, würde ich Ihnen wahrscheinlich empfehlen, **Strawberry** auszuprobieren.

Hier ist eine kleine Vorschau, wie Sie Strawberry mit FastAPI integrieren können:

{* ../../docs_src/graphql_/tutorial001_py39.py hl[3,22,25] *}

    with pytest.raises(
        FastAPIError,
        match='The dependency "get_named_func_session" has a scope of "request", it cannot depend on dependencies with scope "function"',
    ):

        @app.websocket("/broken-scope")
        async def get_broken(
            websocket: WebSocket, sessions: BrokenSessionsDep
        ) -> Any:  # pragma: no cover
            pass


def test_named_function_scope() -> None:

    with pytest.raises(
        FastAPIError,
        match='The dependency "get_named_func_session" has a scope of "request", it cannot depend on dependencies with scope "function"',
    ):

        @app.get("/broken-scope")
        def get_broken(sessions: BrokenSessionsDep) -> Any:  # pragma: no cover
            pass


def test_named_function_scope() -> None:
    response = client.get("/named-function-scope")

     * Run docs tests with the configuration cache enabled.
     */
    const val ENABLE_CONFIGURATION_CACHE_FOR_DOCS_TESTS = "enableConfigurationCacheForDocsTests"

    /**
     * Run docs tests that are knowingly broken when running with the configuration cache enabled. Only applied when #ENABLE_CONFIGURATION_CACHE_FOR_DOCS_TESTS is also set.
     */
    const val RUN_BROKEN_CONFIGURATION_CACHE_DOCS_TESTS = "runBrokenConfigurationCacheDocsTests"

        ]
    }


def test_post_broken_body(client: TestClient):
    response = client.post(
        "/items/",
        headers={"content-type": "application/json"},
        content="{some broken json}",
    )
    assert response.status_code == 422, response.text
    assert response.json() == {
        "detail": [
            {
                "type": "json_invalid",
                "loc": ["body", 1],

Erstellen Sie dann Klassen-Attribute mit festgelegten Werten, welches die erlaubten Werte sein werden:

{* ../../docs_src/path_params/tutorial005_py39.py hl[1,6:9] *}


/// tip | Tipp

Falls Sie sich fragen, was „AlexNet“, „ResNet“ und „LeNet“ ist, das sind Namen von <abbr title="Genau genommen, Deep-Learning-Modellarchitekturen">Modellen</abbr> für maschinelles Lernen.

///