* <a href="https://cdn.jsdelivr.net/npm/swagger-ui-dist@5/swagger-ui.css" class="external-link" target="_blank">`swagger-ui.css`</a>

Und **ReDoc** verwendet diese Datei:

* <a href="https://cdn.jsdelivr.net/npm/redoc@2/bundles/redoc.standalone.js" class="external-link" target="_blank">`redoc.standalone.js`</a>

/// tip

The actual callback is just an HTTP request.

When implementing the callback yourself, you could use something like <a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX</a> or <a href="https://requests.readthedocs.io/" class="external-link" target="_blank">Requests</a>.

///

## Write the callback documentation code { #write-the-callback-documentation-code }

* <a href="https://cdn.jsdelivr.net/npm/swagger-ui-dist@5/swagger-ui.css" class="external-link" target="_blank">`swagger-ui.css`</a>

And **ReDoc** uses the file:

* <a href="https://cdn.jsdelivr.net/npm/redoc@2/bundles/redoc.standalone.js" class="external-link" target="_blank">`redoc.standalone.js`</a>

O callback real é apenas um request HTTP.

Ao implementar o callback por conta própria, você pode usar algo como <a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX</a> ou <a href="https://requests.readthedocs.io/" class="external-link" target="_blank">Requests</a>.

///

## Escreva o código de documentação do callback { #write-the-callback-documentation-code }

* <a href="https://docs.python.org/3/library/contextlib.html#contextlib.contextmanager" class="external-link" target="_blank">`@contextlib.contextmanager`</a> oder
* <a href="https://docs.python.org/3/library/contextlib.html#contextlib.asynccontextmanager" class="external-link" target="_blank">`@contextlib.asynccontextmanager`</a>

kann auch als gültige **FastAPI**-Abhängigkeit verwendet werden.

Mas você pode sobrescrever esse comportamento utilizando `Response` diretamente, como visto em [Retornando uma Resposta Diretamente](response-directly.md){.internal-link target=_blank}.

### Instalar `pydantic-settings` { #install-pydantic-settings }

Primeiro, certifique-se de criar seu [ambiente virtual](../virtual-environments.md){.internal-link target=_blank}, ativá-lo e então instalar o pacote `pydantic-settings`:

<div class="termy">

```console

import java.lang.annotation.Target;

/**
 * The {@code Immutable} annotation indicates that the object is immutable, i.e.
 * none of its field can be changed.  This also ensures that the type is
 * {@link ThreadSafe}.
 *
 * @see ThreadSafe
 * @since 4.0.0
 */
@Experimental
@Documented
@Retention(RetentionPolicy.CLASS)
@ThreadSafe
@Target(ElementType.TYPE)

        }
        Map<String, Object> target = dataMap;
        for (final Ingester ingester : ingestFactory.getIngesters()) {
            try {
                target = ingester.process(target, paramMap);
            } catch (final Exception e) {
                logger.warn("[{}] Failed to process ingester", ingester.getClass().getSimpleName(), e);
            }
        }
        return target;
    }

    /**

还有一个公共 <a href="https://hub.docker.com/" class="external-link" target="_blank">Docker Hub</a> ，其中包含预制的 **官方容器镜像**, 适用于许多工具、环境、数据库和应用程序。

例如，有一个官方的 <a href="https://hub.docker.com/_/python" class="external-link" target="_blank">Python 镜像</a>。

还有许多其他镜像用于不同的需要（例如数据库），例如：


* <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>