import pytest
from fastapi.testclient import TestClient
from inline_snapshot import snapshot

from ...utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial003_py39"),
        pytest.param("tutorial003_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.extra_models.{request.param}")

import importlib

import pytest
from fastapi.testclient import TestClient

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.path_operation_advanced_configuration.{request.param}"

You can connect the debugger in your editor, for example with Visual Studio Code or PyCharm.

## Call `uvicorn` { #call-uvicorn }

In your FastAPI application, import and run `uvicorn` directly:

{* ../../docs_src/debugging/tutorial001_py39.py hl[1,15] *}

### About `__name__ == "__main__"` { #about-name-main }

The main purpose of the `__name__ == "__main__"` is to have some code that is executed when your file is called with:

<div class="termy">

Você pode usar facilmente as mesmas configurações do Pydantic para configurar sua OpenAPI gerada e as interfaces de usuário da documentação.

Por exemplo:

{* ../../docs_src/conditional_openapi/tutorial001_py39.py hl[6,11] *}

Aqui declaramos a configuração `openapi_url` com o mesmo padrão de `"/openapi.json"`.

E então a usamos ao criar a aplicação `FastAPI`.

import pytest
from fastapi.testclient import TestClient
from inline_snapshot import snapshot

from tests.utils import needs_py310


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

Вы можете объявить параметр типа `Response` в вашей функции-обработчике пути (как можно сделать и для cookie).

А затем вы можете устанавливать HTTP-заголовки в этом *временном* объекте ответа.

{* ../../docs_src/response_headers/tutorial002_py39.py hl[1, 7:8] *}

После этого вы можете вернуть любой нужный объект, как обычно (например, `dict`, модель из базы данных и т.д.).

import importlib
from types import ModuleType

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(
    name="mod",
    params=[
        pytest.param("tutorial001_py39"),
        pytest.param("tutorial001_py310", marks=needs_py310),
    ],
)
def get_module(request: pytest.FixtureRequest):
    module = importlib.import_module(f"docs_src.encoder.{request.param}")
    return module

import importlib

import pytest
from fastapi.testclient import TestClient


@pytest.fixture(
    name="client",
    params=[
        "tutorial001_py39",
        "tutorial001_an_py39",
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.request_form_models.{request.param}")

    client = TestClient(mod.app)
    return client


def test_post_body_form(client: TestClient):

import importlib

import pytest
from fastapi.testclient import TestClient


@pytest.fixture(
    name="client",
    params=[
        "tutorial001_py39",
        "tutorial001_an_py39",
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.request_forms.{request.param}")

    client = TestClient(mod.app)
    return client


def test_post_body_form(client: TestClient):

Вы можете использовать все те же возможности валидации и инструменты, что и для Pydantic‑моделей, например разные типы данных и дополнительную валидацию через `Field()`.

//// tab | Pydantic v2

{* ../../docs_src/settings/tutorial001_py39.py hl[2,5:8,11] *}

////

//// tab | Pydantic v1

/// info | Информация

В Pydantic v1 вы бы импортировали `BaseSettings` напрямую из `pydantic`, а не из `pydantic_settings`.

///