Cela comprend, par exemple :

* Les notifications par email envoyées après l'exécution d'une action :
    * Étant donné que se connecter à un serveur et envoyer un email a tendance à être «lent» (plusieurs secondes), vous pouvez retourner la réponse directement et envoyer la notification en arrière-plan.
* Traiter des données :

Vous pouvez y sélectionner "Releases only".

Ainsi, vous recevrez des notifications (dans votre courrier électronique) chaque fois qu'il y aura une nouvelle version de **FastAPI** avec des corrections de bugs et de nouvelles fonctionnalités.

## Se rapprocher de l'auteur

This includes, for example:

* Email notifications sent after performing an action:
    * As connecting to an email server and sending an email tends to be "slow" (several seconds), you can return the response right away and send the email notification in the background.
* Processing data:

          * Read open questions until I find 2 where I can help someone and add a comment to help there.
          * I already hit the "watch" button in this repository to receive notifications and I commit to help at least 2 people that ask questions in the future.
          * Review one Pull Request by downloading the code and following [all the review process](https://fastapi.tiangolo.com/help-fastapi/#review-pull-requests).

There you can select "Releases only".

By doing it, you will receive notifications (in your email) whenever there's a new release (a new version) of **FastAPI** with bug fixes and new features.

## Connect with the author

    title: Microservice in Python using FastAPI
  - author: Guillermo Cruz
    author_link: https://wuilly.com/
    link: https://wuilly.com/2019/10/real-time-notifications-with-python-and-postgres/
    title: Real-time Notifications with Python and Postgres
  - author: Navule Pavan Kumar Rao
    author_link: https://www.linkedin.com/in/navule/
    link: https://www.tutlinks.com/create-and-deploy-fastapi-app-to-heroku/

    if log.is_file():
        os.remove(log)  # pragma: no cover
    response = client.post("/send-notification/******@****.***")
    assert response.status_code == 200, response.text
    assert response.json() == {"message": "Notification sent in the background"}
    with open("./log.txt") as f:

    if q:
        message = f"found query: {q}\n"
        background_tasks.add_task(write_log, message)
    return q


@app.post("/send-notification/{email}")
async def send_notification(
    email: str, background_tasks: BackgroundTasks, q: str = Depends(get_query)
):
    message = f"message to {email}\n"
    background_tasks.add_task(write_log, message)

```Python hl_lines="14"
{!../../../docs_src/background_tasks/tutorial001.py!}
```

`.add_task()` 함수는 다음과 같은 인자를 받습니다 :

- 백그라운드에서 실행되는 작업 함수 (`write_notification`).
- 작업 함수에 순서대로 전달되어야 하는 일련의 인자 (`email`).
- 작업 함수에 전달되어야하는 모든 키워드 인자 (`message="some notification"`).

## 의존성 주입

`BackgroundTasks`를 의존성 주입 시스템과 함께 사용하면 _경로 작동 함수_, 종속성, 하위 종속성 등 여러 수준에서 BackgroundTasks 유형의 매개변수를 선언할 수 있습니다.

app = FastAPI()


def write_notification(email: str, message=""):
    with open("log.txt", mode="w") as email_file:
        content = f"notification for {email}: {message}"
        email_file.write(content)


@app.post("/send-notification/{email}")
async def send_notification(email: str, background_tasks: BackgroundTasks):
    background_tasks.add_task(write_notification, email, message="some notification")