author_link: https://www.linkedin.com/in/navule/
    link: https://www.tutlinks.com/deploy-fastapi-on-ubuntu-gunicorn-caddy-2/
    title: Deploy FastAPI on Ubuntu and Serve using Caddy 2 Web Server
  - author: Patrick Ladon
    author_link: https://dev.to/factorlive
    link: https://dev.to/factorlive/python-facebook-messenger-webhook-with-fastapi-on-glitch-4n90
    title: Python Facebook messenger webhook with FastAPI on Glitch

```Python hl_lines="9-13  36-53"
{!../../../docs_src/openapi_webhooks/tutorial001.py!}
```

Die von Ihnen definierten Webhooks landen im **OpenAPI**-Schema und der automatischen **Dokumentations-Oberfläche**.

!!! info

    loadVisibleTermynals();
}

function shuffle(array) {
    var currentIndex = array.length, temporaryValue, randomIndex;
    while (0 !== currentIndex) {
        randomIndex = Math.floor(Math.random() * currentIndex);
        currentIndex -= 1;
        temporaryValue = array[currentIndex];
        array[currentIndex] = array[randomIndex];
        array[randomIndex] = temporaryValue;
    }
    return array;

        )
    contents = settings.github_event_path.read_text()
    github_event = PartialGitHubEvent.parse_raw(contents)

    # Avoid race conditions with multiple labels
    sleep_time = random.random() * 10  # random number between 0 and 10 seconds
    logging.info(
        f"Sleeping for {sleep_time} seconds to avoid "
        "race conditions and multiple comments"
    )
    time.sleep(sleep_time)

## Handle JWT tokens

Import the modules installed.

Create a random secret key that will be used to sign the JWT tokens.

To generate a secure random secret key use the command:

<div class="termy">

```console
$ openssl rand -hex 32

09d25e094faa6ca2556c818166b7a9563b93f7099f6f0f4caa6cf63b88e8d3e7
```

Another big feature needed by APIs is data validation, making sure that the data is valid, given certain parameters. For example, that some field is an `int`, and not some random string. This is especially useful for incoming data.

Without a data validation system, you would have to do all the checks by hand, in code.

Wenn das Programm nun Dinge in den Arbeitsspeicher lädt, zum Beispiel ein Modell für maschinelles Lernen in einer Variablen oder den Inhalt einer großen Datei in einer Variablen, verbraucht das alles **einen Teil des Arbeitsspeichers (RAM – Random Access Memory)** des Servers.

!!! check "**FastAPI**'a nasıl ilham oldu?"
    Var oldu.

    Aynı Python veri tipleriyle birden fazla şeyi belirleme (veri doğrulama, veri dönüştürme ve dökümantasyon), bir yandan da harika bir editör desteği sunma, benim muhteşem bulduğum bir fikirdi.

    Uzunca bir süre boyunca benzer bir framework arayıp pek çok farklı alternatifi denedikten sonra, APIStar en iyi seçenekti.