*   <li>Getting content</li>
 *   <li>Handling redirects</li>
 *   <li>Processing responses</li>
 *   <li>Handling exceptions during crawling and child URL processing</li>
 *   <li>Handling cases where no URL is in the queue</li>
 *   <li>Handling cases where no response processor or rule is found</li>
 *   <li>Handling system errors</li>
 * </ul>
 *
 * <p>
 * Each logging method checks the log level before logging the message.

MinIO server allows to throttle incoming requests:

- limit the number of active requests allowed across the cluster
- limit the wait duration for each request in the queue

These values are enabled using server's configuration or environment variables.

## Examples

### Configuring connection limit

      logger.info("served $requestLine")
      return MockResponse(code = HttpURLConnection.HTTP_NOT_FOUND)
    }

    if (failFastResponse != null && responseQueue.peek() == null) {
      // Fail fast if there's no response queued up.
      return failFastResponse!!
    }

    val result = responseQueue.take()

    // If take() returned because we're shutting down, then enqueue another dead letter so that any

    // Cause acceptConnections() to break out.
    serverSocket.closeQuietly()

    // Await shutdown.
    for (queue in taskRunner.activeQueues()) {
      if (!queue.idleLatch().await(5, TimeUnit.SECONDS)) {
        throw AssertionError("Gave up waiting for queue to shut down")
      }
    }
    taskRunnerBackend.shutdown()
  }

  private fun serveConnection(
    connectionIndex: Int,

		<arg>crawlerConfig</arg>
	</component>

	<component name="crawlerConfig" class="org.codelibs.fess.crawler.util.OpenSearchCrawlerConfig">
		<property name="queueIndex">"fess_crawler.queue"</property>
		<property name="queueShards">5</property>
		<property name="queueReplicas">1</property>
		<property name="dataIndex">"fess_crawler.data"</property>
		<property name="dataShards">5</property>

Entonces, si tienes un objeto `something` (que podría _no_ ser una función) y puedes "llamarlo" (ejecutarlo) como:

```Python
something()
```

o

```Python
something(some_argument, some_keyword_argument="foo")
```

entonces es un "callable".

## Clases como dependencias

Puedes notar que para crear una instance de una clase en Python, utilizas esa misma sintaxis.

Por ejemplo:

&&t||t&&!v(t)&&t};return ce.fx.off?r.duration=0:"number"!=typeof r.duration&&(r.duration in ce.fx.speeds?r.duration=ce.fx.speeds[r.duration]:r.duration=ce.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue="fx"),r.old=r.complete,r.complete=function(){v(r.old)&&r.old.call(this),r.queue&&ce.dequeue(this,r.queue)},r},ce.fn.extend({fadeTo:function(e,t,n,r){return this.filter(ee).css("opacity",0).show().end().animate({opacity:t},e,n,r)},animate:function(t,e,n,r){var i=ce.isEmptyObject(t),o=ce....

	auditFailedMessagesMD = NewCounterMD(auditFailedMessages,
		"Total number of messages that failed to send since start",
		targetID)
	auditTargetQueueLengthMD = NewGaugeMD(auditTargetQueueLength,
		"Number of unsent messages in queue for target",
		targetID)
	auditTotalMessagesMD = NewCounterMD(auditTotalMessages,
		"Total number of messages sent since start",
		targetID)
)

// loadAuditMetrics - `MetricsLoaderFn` for audit

/// info | Información

Ten en cuenta que el `TestClient` recibe datos que pueden ser convertidos a JSON, no modelos de Pydantic.

Si tienes un modelo de Pydantic en tu prueba y quieres enviar sus datos a la aplicación durante las pruebas, puedes usar el `jsonable_encoder` descrito en [Codificador Compatible con JSON](encoder.md){.internal-link target=_blank}.

///

## Ejecútalo

    /** Indicates an access exception during crawling. */
    CRAWLING_ACCESS_EXCEPTION,
    /** Indicates a general exception during crawling. */
    CRAWLING_EXCEPTION,
    /** Indicates no URL is available in the queue. */
    NO_URL_IN_QUEUE,
    /** Indicates the start of a crawler thread. */
    START_THREAD,
    /** Indicates the finish of a crawler thread. */
    FINISHED_THREAD,