For example, you could identify a "car" or a "blog post".

Then you could add permissions about that entity, like "drive" (for the car) or "edit" (for the blog).

And then, you could give that JWT token to a user (or bot), and they could use it to perform those actions (drive the car, or edit the blog post) without even needing to have an account, just with the JWT token your API generated for that.

Articles:
  English:
  - author: Kurtis Pykes - NVIDIA
    link: https://developer.nvidia.com/blog/building-a-machine-learning-microservice-with-fastapi/
    title: Building a Machine Learning Microservice with FastAPI
  - author: Ravgeet Dhillon - Twilio
    link: https://www.twilio.com/en-us/blog/booking-appointments-twilio-notion-fastapi
    title: Booking Appointments with Twilio, Notion, and FastAPI
  - author: Abhinav Tripathi - Microsoft Blogs

Sie könnten beispielsweise ein „Auto“ oder einen „Blog-Beitrag“ identifizieren.

Anschließend könnten Sie Berechtigungen für diese Entität hinzufügen, etwa „Fahren“ (für das Auto) oder „Bearbeiten“ (für den Blog).

* 📝 Replace HTTP code returned in case of existing user error in docs for testing. PR [#4482](https://github.com/tiangolo/fastapi/pull/4482) by [@TristanMarion](https://github.com/TristanMarion).
* 📝 Add blog for FastAPI & Supabase. PR [#6018](https://github.com/tiangolo/fastapi/pull/6018) by [@theinfosecguy](https://github.com/theinfosecguy).

client = TestClient(app)


def test():
    log = Path("log.txt")
    if log.is_file():
        os.remove(log)  # pragma: no cover
    response = client.post("/send-notification/******@****.***?q=some-query")
    assert response.status_code == 200, response.text
    assert response.json() == {"message": "Message sent"}
    with open("./log.txt") as f:

from fastapi import FastAPI

app = FastAPI()


@app.on_event("shutdown")
def shutdown_event():
    with open("log.txt", mode="a") as log:
        log.write("Application shutdown")


@app.get("/items/")
async def read_items():

        response = client.get("/items/")
        assert response.status_code == 200, response.text
        assert response.json() == [{"name": "Foo"}]
    with open("log.txt") as log:
        assert "Application shutdown" in log.read()


def test_openapi_schema(app: FastAPI):
    with TestClient(app) as client:
        response = client.get("/openapi.json")
        assert response.status_code == 200, response.text

```Python hl_lines="13  15  22  25"
{!../../../docs_src/background_tasks/tutorial002.py!}
```

Neste exemplo, as mensagens serão gravadas no arquivo `log.txt` _após_ o envio da resposta.

Se houver uma consulta na solicitação, ela será gravada no log em uma tarefa em segundo plano.

E então outra tarefa em segundo plano gerada na _função de operação de caminho_ escreverá uma mensagem usando o parâmetro de caminho `email`.

    # Normally only one language, but still
    for lang in langs:
        if lang not in lang_to_discussion_map:
            log_message = f"Could not find discussion for language: {lang}"
            logging.error(log_message)
            raise RuntimeError(log_message)
        discussion = lang_to_discussion_map[lang]
        logging.info(

    {!> ../../../docs_src/background_tasks/tutorial002.py!}
    ```

In obigem Beispiel werden die Nachrichten, *nachdem* die Response gesendet wurde, in die Datei `log.txt` geschrieben.

Wenn im Request ein Query-Parameter enthalten war, wird dieser in einem Hintergrundtask in das Log geschrieben.

Und dann schreibt ein weiterer Hintergrundtask, der in der *Pfadoperation-Funktion* erstellt wird, eine Nachricht unter Verwendung des Pfad-Parameters `email`.