FROM ubuntu:noble AS ubuntu_source

# Modify contents of container
COPY --from=distroless_source /etc/ /home/etc
COPY --from=distroless_source /home/nonroot /home/nonroot
RUN echo istio-proxy:x:1337: >> /home/etc/group
RUN echo istio-proxy:x:1337:1337:istio-proxy:/nonexistent:/sbin/nologin >> /home/etc/passwd

# Customize distroless with the following:
# - password file
# - groups file
# - /home/nonroot directory

    elif [ -x /etc/init.d/fess ]; then
        if command -v invoke-rc.d >/dev/null; then
            invoke-rc.d fess stop || true
        else
            /etc/init.d/fess stop || true
        fi

    # older suse linux distributions do not ship with systemd
    # but do not have an /etc/init.d/ directory
    # this tries to start the fess service on these

            invoke-rc.d fess start || true
        else
            /etc/init.d/fess restart || true
        fi

    # older suse linux distributions do not ship with systemd
    # but do not have an /etc/init.d/ directory
    # this tries to start the fess service on these
    # as well without failing this script
    elif [ -x /etc/rc.d/init.d/fess ] ; then
        /etc/rc.d/init.d/fess restart || true
    fi
    echo " OK"
fi

    * If you are comparing Uvicorn, compare it against Daphne, Hypercorn, uWSGI, etc. Application servers.
* **Starlette**:
    * Will have the next best performance, after Uvicorn. In fact, Starlette uses Uvicorn to run. So, it probably can only get "slower" than Uvicorn by having to execute more code.
    * But it provides you the tools to build simple web applications, with routing based on paths, etc.

///

And when you return a `Response`, **FastAPI** will pass it directly.

It won't do any data conversion with Pydantic models, it won't convert the contents to any type, etc.

This gives you a lot of flexibility. You can return any data type, override any data declaration or validation, etc.

## Using the `jsonable_encoder` in a `Response`

Ele não vai fazer conversões de dados com modelos do Pydantic, não irá converter a tipagem de nenhum conteúdo, etc.

Isso te dá bastante flexibilidade. Você pode retornar qualquer tipo de dado, sobrescrever qualquer declaração e validação nos dados, etc.

## Utilizando o `jsonable_encoder` em uma `Response`

    * Si estás comparando Starlette, compáralo con Sanic, Flask, Django, etc. Frameworks web (o microframeworks).
* **FastAPI**:

* **Starlette** :
    * A les seconde meilleures performances après Uvicorn. Starlette utilise en réalité Uvicorn. De ce fait, il ne peut qu’être plus "lent" qu'Uvicorn car il requiert l'exécution de plus de code.
    * Cependant il nous apporte les outils pour construire une application web simple, avec un routage basé sur des chemins, etc.

No hará ninguna conversión de datos con modelos Pydantic, no convertirá el contenido a ningún tipo, etc.

Esto te da mucha flexibilidad. Puedes devolver cualquier tipo de dato, sobrescribir cualquier declaración de datos o validación, etc.

## Usando el `jsonable_encoder` en una `Response`

///

## Declare atributos do modelo

Você pode então utilizar `Field` com atributos do modelo:

```Python hl_lines="11-14"
{!../../docs_src/body_fields/tutorial001.py!}
```

`Field` funciona da mesma forma que `Query`, `Path` e `Body`, ele possui todos os mesmos parâmetros, etc.

/// note | "Detalhes técnicos"