Because we are using a relative URL, if your API was located at `https://example.com/`, then it would refer to `https://example.com/token`. But if your API was located at `https://example.com/api/v1/`, then it would refer to `https://example.com/api/v1/token`.

## JavaScript und CSS für die Dokumentation selbst hosten

Das Selbst Hosten von JavaScript und CSS kann nützlich sein, wenn Sie beispielsweise möchten, dass Ihre Anwendung auch offline, ohne bestehenden Internetzugang oder in einem lokalen Netzwerk weiter funktioniert.

Hier erfahren Sie, wie Sie diese Dateien selbst in derselben FastAPI-App bereitstellen und die Dokumentation für deren Verwendung konfigurieren.

### Projektdateistruktur

### In a Remote Server

When you set up a remote server (a cloud server, a virtual machine, etc.) the simplest thing you can do is to run Uvicorn (or similar) manually, the same way you do when developing locally.

And it will work and will be useful **during development**.

But if your connection to the server is lost, the **running process** will probably die.

        code = list(lang_dict.keys())[0]
        url = lang_dict[code]
        if code not in local_language_names:
            print(
                f"Missing language name for: {code}, "
                "update it in docs/language_names.yml"
            )
            raise typer.Abort()
        use_name = f"{code} - {local_language_names[code]}"
        new_alternate.append({"link": url, "name": use_name})

<span style="color: green;">INFO</span>:     Application startup complete.
```

</div>

It is **HIGHLY encouraged** that you write or copy the code, edit it and run it locally.

Using it in your editor is what really shows you the benefits of FastAPI, seeing how little code you have to write, all the type checks, autocompletion, etc.

---

## Install FastAPI

If you create a Python file that imports and uses FastAPI, and run it with the Python from your local environment, it will use your cloned local FastAPI source code.

And if you update that local FastAPI source code when you run that Python file again, it will use the fresh version of FastAPI you just edited.

That way, you don't have to "install" your local version to be able to test every change.

!!! note "Technical Details"

## Testing locally with Traefik

You can easily run the experiment locally with a stripped path prefix using <a href="https://docs.traefik.io/" class="external-link" target="_blank">Traefik</a>.

### Auf einem entfernten Server

Wenn Sie einen entfernten Server (einen Cloud-Server, eine virtuelle Maschine, usw.) einrichten, können Sie am einfachsten Uvicorn (oder ähnliches) manuell ausführen, genau wie bei der lokalen Entwicklung.

Und es wird funktionieren und **während der Entwicklung** nützlich sein.

Wenn Ihre Verbindung zum Server jedoch unterbrochen wird, wird der **laufende Prozess** wahrscheinlich abstürzen.

Ele tinha validação de dados automática, serialização de dados e geração de _schema_ OpenAPI baseado nos mesmos _type hints_ em vários locais.

```Python hl_lines="5-6"
{!../../../docs_src/sql_databases/sql_app/database.py!}
```

In this example, we are "connecting" to a SQLite database (opening a file with the SQLite database).

The file will be located at the same directory in the file `sql_app.db`.

That's why the last part is `./sql_app.db`.

If you were using a **PostgreSQL** database instead, you would just have to uncomment the line:

```Python