from fastapi.testclient import TestClient

from docs_src.metadata.tutorial003_py39 import app

client = TestClient(app)


def test_items():
    response = client.get("/items/")
    assert response.status_code == 200, response.text
    assert response.json() == [{"name": "Foo"}]


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

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial002_py39"),
        pytest.param("tutorial002_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest) -> TestClient:
    mod = importlib.import_module(f"docs_src.separate_openapi_schemas.{request.param}")

    client = TestClient(mod.app)

Для этого можно использовать функцию `jsonable_encoder`.

Она принимает объект, например, Pydantic-модель, и возвращает его версию, совместимую с JSON:

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

В данном примере она преобразует Pydantic-модель в `dict`, а `datetime` - в `str`.

import pytest
from fastapi.testclient import TestClient

from tests.utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial002_py39"),
        pytest.param("tutorial002_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)

import importlib
from types import ModuleType

import pytest
from fastapi.testclient import TestClient


@pytest.fixture(
    name="mod",
    params=[
        pytest.param("tutorial003_py39"),
    ],
)
def get_mod(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.websockets.{request.param}")

    return mod


@pytest.fixture(name="html")
def get_html(mod: ModuleType):
    return mod.html

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial009_py39"),
        pytest.param("tutorial009_py310", marks=needs_py310),
        pytest.param("tutorial009_an_py39"),
        pytest.param("tutorial009_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        "tutorial001_py39",
        pytest.param("tutorial001_py310", marks=needs_py310),
        "tutorial001_an_py39",
        pytest.param("tutorial001_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):

Puedes usar `jsonable_encoder` para eso.

Recibe un objeto, como un modelo de Pydantic, y devuelve una versión compatible con JSON:

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

En este ejemplo, convertiría el modelo de Pydantic a un `dict`, y el `datetime` a un `str`.

Sie können für diese Fälle `jsonable_encoder` verwenden.

Es nimmt ein Objekt entgegen, wie etwa ein Pydantic-Modell, und gibt eine JSON-kompatible Version zurück:

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

In diesem Beispiel wird das Pydantic-Modell in ein `dict`, und das `datetime`-Objekt in ein `str` konvertiert.

from inline_snapshot import snapshot

from ...utils import needs_py310


@pytest.fixture(
    name="client",
    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.response_model.{request.param}")

    client = TestClient(mod.app)
    return client