{* ../../docs_src/response_model/tutorial004_py310.py hl[9,11:12] *}

* `description: Union[str, None] = None` (oder `str | None = None` in Python 3.10) hat einen Defaultwert `None`.
* `tax: float = 10.5` hat einen Defaultwert `10.5`.
* `tags: List[str] = []` hat eine leere Liste als Defaultwert: `[]`.

Aber Sie möchten diese vielleicht vom Resultat ausschließen, wenn Sie gar nicht gesetzt wurden.

    assert response.status_code == 422, response.text

    data = {"items": [["foo", "bar"], ["baz"]]}
    response = client.post("/model-with-tuple/", json=data)
    assert response.status_code == 422, response.text


def test_tuple_with_model_valid():
    data = [{"x": 1, "y": 2}, {"x": 3, "y": 4}]
    response = client.post("/tuple-of-models/", json=data)
    assert response.status_code == 200, response.text

        @app.post("/example/")
        def example(item: Item = Body(example={"data": "Data in Body example"})):
            return item

    @app.post("/examples/")
    def examples(
        item: Item = Body(
            examples=[
                {"data": "Data in Body examples, example1"},
                {"data": "Data in Body examples, example2"},
            ],
        ),
    ):
        return item

def test_decimal_encoder_float():
    data = {"value": Decimal(1.23)}
    assert jsonable_encoder(data) == {"value": 1.23}


def test_decimal_encoder_int():
    data = {"value": Decimal(2)}
    assert jsonable_encoder(data) == {"value": 2}


def test_decimal_encoder_nan():
    data = {"value": Decimal("NaN")}
    assert isnan(jsonable_encoder(data)["value"])


def test_decimal_encoder_infinity():

def test_sub_duplicates():
    response = client.post("/with-duplicates-sub", json={"data": "myitem"})
    assert response.status_code == 200, response.text
    assert response.json() == [
        {"data": "myitem"},
        [{"data": "myitem"}, {"data": "myitem"}],
    ]


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text

        @app.post("/union")
        def endpoint(data: Union[dict, ModelV1A]):  # pragma: no cover
            return data


def test_raises_pydantic_v1_model_in_sequence() -> None:
    class ModelV1A(BaseModel):
        name: str

    app = FastAPI()

    with pytest.raises(PydanticV1NotSupportedError):

        @app.post("/sequence")
        def endpoint(data: list[ModelV1A]):  # pragma: no cover

def test_post_body(client: TestClient):
    data = {"2": 2.2, "3": 3.3}
    response = client.post("/index-weights/", json=data)
    assert response.status_code == 200, response.text
    assert response.json() == data


def test_post_invalid_body(client: TestClient):
    data = {"foo": 2.2, "3": 3.3}
    response = client.post("/index-weights/", json=data)
    assert response.status_code == 422, response.text

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

/// info

def post_form_extra_allow(params: Annotated[FormModelExtraAllow, Form()]):
    return params


client = TestClient(app)


def test_send_all_data():
    response = client.post(
        "/form/",
        data={
            "username": "Rick",
            "lastname": "Sanchez",
            "age": "70",
            "tags": ["plumbus", "citadel"],
            "with": "something",
        },
    )

def test_post_body(client: TestClient):
    data = [
        {"url": "http://example.com/", "name": "Example"},
        {"url": "http://fastapi.tiangolo.com/", "name": "FastAPI"},
    ]
    response = client.post("/images/multiple", json=data)
    assert response.status_code == 200, response.text
    assert response.json() == data


def test_post_invalid_list_item(client: TestClient):
    data = [{"url": "not a valid url", "name": "Example"}]