"application/vnd.geogebra.tool",
				"application/vnd.geometry-explorer",
				"application/vnd.gmx",
				"application/vnd.google-earth.kml+xml",
				"application/vnd.google-earth.kmz",
				"application/vnd.grafeq",
				"application/vnd.gridmp",
				"application/vnd.groove-account",
				"application/vnd.groove-help",
				"application/vnd.groove-identity-message",
				"application/vnd.groove-injector",

            "password": "fighter",
            "email": "******@****.***",
            "full_name": "Grave Dohl",
        },
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "username": "foo",
        "email": "******@****.***",
        "full_name": "Grave Dohl",
    }


def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")

{* ../../docs_src/background_tasks/tutorial001.py hl[6:9] *}

## Ajouter une tâche d'arrière-plan

Dans votre *fonction de chemin*, passez votre fonction de tâche à l'objet de type `BackgroundTasks` (`background_tasks` ici) grâce à la méthode `.add_task()` :


{* ../../docs_src/background_tasks/tutorial001.py hl[14] *}

`.add_task()` reçoit comme arguments :

* Une fonction de tâche à exécuter en arrière-plan (`write_notification`).

            "password": "fighter",
            "email": "******@****.***",
            "full_name": "Grave Dohl",
        },
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "username": "foo",
        "email": "******@****.***",
        "full_name": "Grave Dohl",
    }


def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")

  </mime-type>

  <mime-type type="application/vnd.google-earth.kmz">
    <sub-class-of type="application/zip"/>
    <glob pattern="*.kmz"/>
  </mime-type>
  <mime-type type="application/vnd.grafeq">
    <glob pattern="*.gqf"/>
    <glob pattern="*.gqs"/>
  </mime-type>
  <mime-type type="application/vnd.gridmp"/>
  <mime-type type="application/vnd.groove-account">
    <glob pattern="*.gac"/>

Consiste apenas de funções que parecem idênticas a *funções de operação de rota*.

Mas ainda assim, é bastante poderoso, e permite que você declare grafos (árvores) de dependências com uma profundidade arbitrária.

/// tip | Dica

Tudo isso pode não parecer muito útil com esses exemplos.

Mas você verá o quão útil isso é nos capítulos sobre **segurança**.

    return client


def test_post_user(client: TestClient):
    user_data = {
        "username": "foo",
        "password": "fighter",
        "email": "******@****.***",
        "full_name": "Grave Dohl",
    }
    response = client.post(
        "/user/",
        json=user_data,
    )
    assert response.status_code == 200, response.text
    assert response.json() == user_data

* Intégration de **GraphQL** avec <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> et d'autres bibliothèques.
* D'obtenir de nombreuses fonctionnalités supplémentaires (grâce à  Starlette) comme :
    * **WebSockets**
    * de tester le code très facilement avec `requests` et `pytest`

Solo son funciones que se ven igual que las *path operation functions*.

Pero aun así, es muy potente y te permite declarar "grafos" de dependencia anidados arbitrariamente profundos (árboles).

/// tip | Consejo

Todo esto podría no parecer tan útil con estos ejemplos simples.

Pero verás lo útil que es en los capítulos sobre **seguridad**.

## Détails techniques

Les versions modernes de Python supportent le **code asynchrone** grâce aux **"coroutines"** avec les syntaxes **`async` et `await`**.

Analysons les différentes parties de cette phrase dans les sections suivantes :

* **Code asynchrone**
* **`async` et `await`**
* **Coroutines**