* reader.setQuery(QueryBuilders.termQuery("field", "value")); // Set a query
 *
 * Map<String, Object> document;
 * while ((document = reader.read()) != null) {
 *     // Process the document
 *     System.out.println(document);
 * }
 *
 * reader.close(); // Close the reader to release resources
 * }
 * </pre>
 */
public class ESSourceReader implements DocumentReader {

        }).map(user -> (FessUser) user);
    }

    // ===================================================================================
    //                                                                       Login Process
    //                                                                       =============
    /**
     * Creates a user bean from the given user entity.
     *
     * @param user the user entity to create a bean from

 *
 * <p>This class provides various methods to set parameters for the suggestion request,
 * such as index, query, size, tags, roles, fields, kinds, languages, and other configurations.
 * It also includes methods to build and process the request using OpenSearch's client.</p>
 *
 * <p>Key functionalities include:</p>
 * <ul>
 *   <li>Setting the index, query, and size of the request.</li>

        method.setAccessible(true);
        method.invoke(crawlerThread, urlQueue, responseData);

        verify(responseProcessor, times(1)).process(responseData);
        assertEquals("test-rule", responseData.getRuleId());
    }

    /**
     * Test processResponse when no rule is found.
     */

                        }
                    }
                }
            }
        }
    }

    // org.apache.maven.plugins:maven-remote-resources-plugin:1.0:process
    // TODO take repo mans into account as one may be aggregating prefixes of many
    // TODO collect at the root of the repository, read the one at the root, and fetch remote if something is missing

        }

        return -1;
    }

    /**
     * Processes a single crawl request by executing the HTTP request, handling redirects,
     * transforming the response data, and indexing the document.
     *
     * @param paramMap the data store parameters
     * @param dataMap the data map to be updated with response data
     * @param url the URL to process
     * @param client the crawler client to use for the request

Sunucuyu aşağıdaki komutla çalıştıralım:

<div class="termy">

```console
$ uvicorn main:app --reload

INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO:     Started reloader process [28720]
INFO:     Started server process [28722]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
```

</div>

<details markdown="1">

		return f.r.Read(p)
	}
	// Read a single byte.
	n, err = f.r.Read(p[:1])
	if n > 0 {
		t := time.Now()
		f.t = &t
	}
	return n, err
}

// Runs the speedtest on local MinIO process.
func selfSpeedTest(ctx context.Context, opts speedTestOpts) (res SpeedTestResult, err error) {
	objAPI := newObjectLayerFn()
	if objAPI == nil {
		return SpeedTestResult{}, errServerNotInitialized
	}

## Get started

If you're aware of stand-alone MinIO set up, the process remains largely the same. MinIO server automatically switches to stand-alone or distributed mode, depending on the command line parameters.

### 1. Prerequisites

Install MinIO either on Kubernetes or Distributed Linux.

### 実行

以下のコマンドでサーバーを起動します:

<div class="termy">

```console
$ uvicorn main:app --reload

INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO:     Started reloader process [28720]
INFO:     Started server process [28722]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
```

</div>

<details markdown="1">