Você pode usar a função `jsonable_encoder` para resolver isso.

A função recebe um objeto, como um modelo Pydantic e retorna uma versão compatível com JSON:

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

Neste exemplo, ele converteria o modelo Pydantic em um `dict`, e o `datetime` em um `str`.

    params=[
        pytest.param("tutorial004_py39"),
        pytest.param("tutorial004_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.additional_responses.{request.param}")

    client = TestClient(mod.app)
    client.headers.clear()
    return client


def test_path_operation(client: TestClient):
    response = client.get("/items/foo")

        pytest.param("tutorial001_an_py39"),
        pytest.param("tutorial001_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.extra_data_types.{request.param}")

    client = TestClient(mod.app)
    return client


def test_extra_types(client: TestClient):
    item_id = "ff97dd87-a4a5-4a12-b412-cde99f33e00e"
    data = {

        pytest.param("tutorial003_py39"),
        pytest.param("tutorial003_an_py39"),
    ],
)
def get_client(request: pytest.FixtureRequest) -> TestClient:
    mod = importlib.import_module(
        f"docs_src.path_params_numeric_validations.{request.param}"
    )
    return TestClient(mod.app)


@pytest.mark.parametrize(
    "path,expected_response",
    [
        ("/items/42?q=", {"item_id": 42}),

    params=[
        pytest.param("tutorial006_py39"),
        pytest.param("tutorial006_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.query_params.{request.param}")

    c = TestClient(mod.app)
    return c


def test_foo_needy_very(client: TestClient):
    response = client.get("/items/foo?needy=very")
    assert response.status_code == 200

        pytest.param("tutorial002_an_py39"),
        pytest.param("tutorial002_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(
        f"docs_src.query_params_str_validations.{request.param}"
    )

    client = TestClient(mod.app)
    return client


def test_query_params_str_validations_no_query(client: TestClient):
    response = client.get("/items/")

        pytest.param("tutorial005_an_py39"),
        pytest.param("tutorial005_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.schema_extra_example.{request.param}")

    client = TestClient(mod.app)
    return client


def test_post_body_example(client: TestClient):
    response = client.put(
        "/items/5",
        json={

import importlib

from fastapi.testclient import TestClient


def get_client() -> TestClient:
    from docs_src.conditional_openapi import tutorial001_py39

    importlib.reload(tutorial001_py39)

    client = TestClient(tutorial001_py39.app)
    return client


def test_disable_openapi(monkeypatch):
    monkeypatch.setenv("OPENAPI_URL", "")
    # Load the client after setting the env var
    client = get_client()

@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial004_py39"),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.extra_models.{request.param}")

    client = TestClient(mod.app)
    return client


def test_get_items(client: TestClient):
    response = client.get("/items/")

Anschließend können Sie den `status_code` in diesem *vorübergehenden* <abbr title="Response – Antwort: Daten, die der Server zum anfragenden Client zurücksendet">Response</abbr>-Objekt festlegen.

{* ../../docs_src/response_change_status_code/tutorial001_py39.py hl[1,9,12] *}

Und dann können Sie jedes benötigte Objekt zurückgeben, wie Sie es normalerweise tun würden (ein `dict`, ein Datenbankmodell usw.).