Вот небольшой пример того, как можно интегрировать Strawberry с FastAPI:

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

Подробнее о Strawberry можно узнать в <a href="https://strawberry.rocks/" class="external-link" target="_blank">документации Strawberry</a>.

Aquí tienes una pequeña vista previa de cómo podrías integrar Strawberry con FastAPI:

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

Puedes aprender más sobre Strawberry en la <a href="https://strawberry.rocks/" class="external-link" target="_blank">documentación de Strawberry</a>.

import importlib

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial001_py39"),
        pytest.param("tutorial001_py310", marks=needs_py310),
        pytest.param("tutorial001_01_py39"),
        pytest.param("tutorial001_01_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):

{* ../../docs_src/openapi_webhooks/tutorial001_py39.py hl[9:13,36:53] *}

Os webhooks que você define aparecerão no esquema do **OpenAPI** e na **página de documentação** gerada automaticamente.

/// info | Informação

{* ../../docs_src/openapi_webhooks/tutorial001_py39.py hl[9:13,36:53] *}

Определенные вами вебхуки попадут в схему **OpenAPI** и в автоматический **интерфейс документации**.

/// info | Информация

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`.

///

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):

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">