*       create a "fake" converter for a unit test. It is unnecessary (and confusing) to <i>mock</i>
 *       the {@code Converter} type using a mocking framework.
 *   <li>Pass two lambda expressions or method references to the {@link #from from} factory method.
 *   <li>Extend this class and implement its {@link #doForward} and {@link #doBackward} methods.
 * </ul>
 *
 * <p>Using a converter:
 *

  val data: String? by option("-d", "--data").help("HTTP POST data")

  val headers: List<String>? by option("-H", "--header").help("Custom header to pass to server").multiple()

  val userAgent: String by option(
    "-A",
    "--user-agent",
  ).help(
    "User-Agent to send to server",
  ).default(NAME + "/" + versionString())

E você pode usar qualquer modelo ou dado para os requisitos de segurança (neste caso, um modelo Pydantic `User`).

Mas você não está restrito a usar um modelo de dados, classe ou tipo específico.

 * config.setAuthSchemeType(AuthSchemeType.FORM);
 * config.setFormParameters(Map.of(
 *     "login_url", "http://example.com/login",
 *     "login_method", "POST",
 *     "login_parameters", "user=${username}&pass=${password}"
 * ));
 * config.setCredentials(credentialsConfig);
 * }</pre>
 */
public class WebAuthenticationConfig {

    /**
     * Type of authentication scheme.
     */
    public enum AuthSchemeType {

También puedes usar funciones `def` normales (sin `async`), y usar `yield` de la misma manera.

FastAPI se asegurará de ejecutarlo correctamente para que no bloquee el event loop.

Como en este caso la función no es async, el tipo de retorno correcto sería `Iterable[Item]`:

{* ../../docs_src/server_sent_events/tutorial001_py310.py ln[28:31] hl[29] *}

### Sin tipo de retorno { #no-return-type }

También puedes usar funciones `def` regulares (sin `async`), y usar `yield` de la misma forma.

FastAPI se asegurará de que se ejecute correctamente para que no bloquee el event loop.

Como en este caso la función no es async, el tipo de retorno correcto sería `Iterable[Item]`:

{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[27:30] hl[28] *}

### Sin tipo de retorno { #no-return-type }

Import `ServerSentEvent` from `fastapi.sse`:

{* ../../docs_src/server_sent_events/tutorial002_py310.py hl[4,26] *}

The `data` field is always encoded as JSON. You can pass any value that can be serialized as JSON, including Pydantic models.

## Raw Data { #raw-data }

If you need to send data **without** JSON encoding, use `raw_data` instead of `data`.

    <property name="id" value="SnippetLength" />
    <property name="max" value="76" />
  </module>

  <!-- Its our official line length! See checkstyle_suppressions.xml for the files that don't pass this. For now we
    suppress the check there but enforce it everywhere else. This prevents the list from getting longer even if it is
    unfair. -->
  <module name="LineLength">
    <property name="max" value="140" />

Vous devez donc vous assurer que vos données sont du type correct. Par exemple, qu'elles sont compatibles avec JSON si vous renvoyez une `JSONResponse`.

Et également que vous n'envoyez pas de données qui auraient dû être filtrées par un `response_model`.

///

### En savoir plus { #more-info }

/// note | Détails techniques

{* ../../docs_src/body_updates/tutorial002_py310.py hl[32] *}

### Using Pydantic's `update` parameter { #using-pydantics-update-parameter }

Now, you can create a copy of the existing model using `.model_copy()`, and pass the `update` parameter with a `dict` containing the data to update.

Like `stored_item_model.model_copy(update=update_data)`:

{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}