```

## Es ausführen

Sie können Ihre Tests wie gewohnt ausführen mit:

<div class="termy">

```console
$ pytest

---> 100%
```

</div>

## Details

Der Marker `@pytest.mark.anyio` teilt pytest mit, dass diese Testfunktion asynchron aufgerufen werden soll:

```Python hl_lines="7"
{!../../../docs_src/async_tests/test_main.py!}
```

!!! tip "Tipp"

## Accessing the request body in an exception handler

!!! tip
    To solve this same problem, it's probably a lot easier to use the `body` in a custom handler for `RequestValidationError` ([Handling Errors](../tutorial/handling-errors.md#use-the-requestvalidationerror-body){.internal-link target=_blank}).

With **FastAPI**, using OpenAPI, you can define the names of these webhooks, the types of HTTP operations that your app can send (e.g. `POST`, `PUT`, etc.) and the request **bodies** that your app would send.

This can make it a lot easier for your users to **implement their APIs** to receive your **webhook** requests, they might even be able to autogenerate some of their own API code.

!!! info

{!../../../docs_src/async_tests/test_main.py!}
```

## Run it

You can run your tests as usual via:

<div class="termy">

```console
$ pytest

---> 100%
```

</div>

## In Detail

The marker `@pytest.mark.anyio` tells pytest that this test function should be called asynchronously:

```Python hl_lines="7"
{!../../../docs_src/async_tests/test_main.py!}
```

!!! tip

        By asking questions in a structured way (following this) it will be much easier to help you.

        And there's a high chance that you will find the solution along the way and you won't even have to submit it and wait for an answer. 😎

* <a href="https://github.com/django/daphne" class="external-link" target="_blank">Daphne</a> : le serveur ASGI
  conçu pour Django Channels.

## Machine serveur et programme serveur

Il y a un petit détail sur les noms à garder à l'esprit. 💡

Le mot "**serveur**" est couramment utilisé pour désigner à la fois l'ordinateur distant/cloud (la machine physique ou virtuelle) et également le programme qui s'exécute sur cette machine (par exemple, Uvicorn).