import jcifs.smb.Handler;
import jcifs.smb.SmbFile;
import jcifs.smb.SmbNamedPipe;

/**
 * A wrapper implementation of CIFSContext that delegates to another context.
 * This class allows for context decoration and customization through delegation.
 *
 * @author mbechler
 */
public class CIFSContextWrapper implements CIFSContext {

    private final CIFSContext delegate;
    private Handler wrappedHandler;

    /**

//// tab | Pydantic v1

Na versão 1 do Pydantic, você usaria uma classe interna `Config` e `schema_extra`, conforme descrito na <a href="https://docs.pydantic.dev/1.10/usage/schema/#schema-customization" class="external-link" target="_blank">documentação do Pydantic: Schema customization</a>.

Você pode definir `schema_extra` com um `dict` contendo quaisquer dados adicionais que você queira que apareçam no JSON Schema gerado, incluindo `examples`.

////

     * This method parses the query string, processes it, and applies any additional customizations.
     *
     * @param queryContext the query context containing the query string
     * @param context a consumer for additional query context customization
     * @throws InvalidQueryException if the query string cannot be parsed
     */

    s.parentNode.insertBefore(fess, s);
  })();
</script>
<fess:search></fess:search>
```

**Step 3: Customize Search UI**

Fess Site Search provides extensive customization options via the [FSS Generator](https://fss-generator.codelibs.org/docs/manual):
- Result layout and styling
- Facet configuration
- Search box placement
- Suggestion behavior

**Example Result**:

////

//// tab | Pydantic v1

En Pydantic versión 1, usarías una clase interna `Config` y `schema_extra`, como se describe en <a href="https://docs.pydantic.dev/1.10/usage/schema/#schema-customization" class="external-link" target="_blank">la documentación de Pydantic: Personalización de Esquema</a>.

            return appType;
        }
        return StringUtil.EMPTY;
    }

    /**
     * Gets the override configuration path from environment variable when running in Docker.
     * This allows customization of the configuration directory location in containerized deployments.
     *
     * @return an OptionalEntity containing the override configuration path if set and running in Docker,

////

//// tab | Pydantic v1

В Pydantic версии 1 вы будете использовать внутренний класс `Config` и `schema_extra`, как описано в <a href="https://docs.pydantic.dev/1.10/usage/schema/#schema-customization" class="external-link" target="_blank">Документации Pydantic: Настройка схемы</a>.

    async def app(scope: Scope, receive: Receive, send: Send) -> None:
        request = Request(scope, receive, send)

        async def app(scope: Scope, receive: Receive, send: Send) -> None:
            # Starts customization
            response_awaited = False
            async with AsyncExitStack() as request_stack:
                scope["fastapi_inner_astack"] = request_stack
                async with AsyncExitStack() as function_stack:

# Algorithm for digest calculation.
app.digest.algorism=sha256
# Regex pattern for properties to encrypt.
app.encrypt.property.pattern=.*password|.*key|.*token|.*secret

# Extension names for application customization.
app.extension.names=

# Audit log format.
app.audit.log.format=

# JVM options for the crawler process.
jvm.crawler.options=\
-Djava.awt.headless=true\n\
-Dfile.encoding=UTF-8\n\
-Djna.nosys=true\n\

     * comment: Extension names for application customization.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getAppExtensionNames();

    /**
     * Get the value for the key 'app.extension.names' as {@link Integer}. <br>
     * The value is, e.g.  <br>
     * comment: Extension names for application customization.