import org.codelibs.fess.util.JobProcess;

import jakarta.annotation.PreDestroy;

/**
 * Helper class for managing system processes in Fess.
 * This class provides functionality to start, stop, and manage external processes
 * such as crawler processes, with proper resource cleanup and lifecycle management.
 */
public class ProcessHelper {
    /** Logger instance for this class */

        try {
            // Start multiple processes
            processHelper.startProcess(sessionId1, cmdList, pbCall);
            processHelper.startProcess(sessionId2, cmdList, pbCall);

            assertTrue(processHelper.isProcessRunning());

            // Wait a bit for the processes to start
            Thread.sleep(50);

            // Destroy all processes
            processHelper.destroy();

/**
 * RankFusionProcessor manages multiple search engines and combines their results using rank fusion algorithms.
 * This processor supports searching with multiple searchers concurrently and merging their results based on
 * ranking scores to provide more comprehensive and accurate search results.
 *
 * The processor maintains a pool of searchers and an executor service for concurrent operations.

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.crawler.processor;

import org.codelibs.fess.unit.UnitFessTestCase;

public class FessResponseProcessorTest extends UnitFessTestCase {

    @Override
    public void setUp() throws Exception {
        super.setUp();
    }

            fail("Should throw JobProcessingException");
        } catch (JobProcessingException e) {
            assertTrue(e.getMessage().contains("10 crawler processes are running"));
            assertTrue(e.getMessage().contains("Max processes are 5"));
        }
    }

    // Test execute method with no max process limit
    public void test_execute_noMaxProcessLimit() {
        // Setup test

          }
        };

    File asciiFile = getTestFile("ascii.txt");
    byte[] result = Files.readBytes(asciiFile, processor);
    assertEquals(Bytes.asList(Files.toByteArray(asciiFile)), Bytes.asList(result));
  }

  public void testReadBytes_returnFalse() throws IOException {
    ByteProcessor<byte[]> processor =
        new ByteProcessor<byte[]>() {
          private final ByteArrayOutputStream out = new ByteArrayOutputStream();

import org.opensearch.search.aggregations.bucket.terms.Terms;

import com.google.common.io.BaseEncoding;

/**
 * Response object for faceted search results containing query counts and field facets.
 * This class processes OpenSearch aggregations to provide structured facet information
 * for search result filtering and navigation.
 */
public class FacetResponse {
    /**

            }
        }
        writeJsonResponse(HttpServletResponse.SC_METHOD_NOT_ALLOWED, escapeJsonKeyValue(MESSAGE_FIELD, method + " is not allowed."));
        return false;
    }

    /**
     * Processes a scroll search request.
     * @param request The HTTP request.
     * @param response The HTTP response.
     * @param chain The filter chain.
     */

 * referenced in HTML documents. This generator extracts images from HTML content
 * and processes them to create thumbnail images based on configured dimensions
 * and format settings.
 *
 * <p>The generator validates image MIME types, processes image data through
 * ImageIO operations, and applies scaling and cropping to generate thumbnails
 * that meet the specified size requirements.</p>
 *

     *
     * @return the ingest factory instance
     */
    protected IngestFactory getIngestFactory() {
        return ComponentUtil.getIngestFactory();
    }

    /**
     * Processes a result data object for web/file crawling.
     * Default implementation returns the target unchanged.
     *
     * @param target the result data to process
     * @param responseData the response data from crawling