logger.debug("Thumbnail generator is not found: {}", docMap != null ? docMap.get("url") : docMap);
        }
        return false;
    }

    /**
     * Gets the image filename for a document based on its document map.
     *
     * @param docMap the document data map
     * @return the generated image filename
     */
    protected String getImageFilename(final Map<String, Object> docMap) {

            logger.debug("Document boost applied: boost={}, url={}", documentBoost, map.get(fessConfig.getIndexFieldUrl()));
        }
    }

    /**
     * Adds a click count field to the document based on search log data.
     * The click count represents how many times users have clicked on this document in search results.
     *
     * @param doc the document data map to add the click count to
     */

    @Resource
    protected ScheduledJobBhv scheduledJobBhv;

    /**
     * The Fess configuration.
     */
    @Resource
    protected FessConfig fessConfig;

    /**
     * Gets a list of scheduled jobs based on the pager.
     * @param scheduledJobPager The pager for scheduled jobs.
     * @return A list of scheduled jobs.
     */
    public List<ScheduledJob> getScheduledJobList(final SchedulerPager scheduledJobPager) {

import org.opensearch.index.query.QueryShardContext;

/**
 * A query builder for a stored LTR (Learning to Rank) query.
 * This builder constructs a query that uses a pre-trained LTR model
 * to re-rank search results based on a given set of features.
 */
public class StoredLtrQueryBuilder extends AbstractQueryBuilder<StoredLtrQueryBuilder> implements NamedWriteable {
    /** The name of the query. */
    public static final String NAME = "sltr";

            if (!inExample) {
                continue;
            }

            if (line.equals("[.multi-language-sample]")) { // first [.multi-language-sample]
                int headerLine = i + 1; // 1-based
                // Look ahead to find [source, ...] until next sample or end of example block
                String sourceLang = null;
                for (int j = i + 1; j < lines.size(); j++) {

 * It manages the crawling lifecycle, including initialization, execution coordination,
 * monitoring, and cleanup operations.
 *
 * <p>The crawler can operate in different modes based on command-line options:
 * <ul>
 * <li>Web crawling - crawls web sites and web content</li>
 * <li>File system crawling - crawls file systems and documents</li>

            var messageContent = $(this).closest('.chat-message').find('.message-text');
            copyToClipboard(messageContent.text(), $(this));
        });
    }

    /**
     * Auto-resize textarea based on content
     */
    function autoResizeTextarea() {
        var textarea = elements.chatInput[0];
        textarea.style.height = 'auto';
        textarea.style.height = Math.min(textarea.scrollHeight, 150) + 'px';

    // Search Engine Type Constants
    // ============================================================

    /** Cloud-based search engine type. */
    public static final String FESEN_TYPE_CLOUD = "cloud";

    /** AWS-based search engine type. */
    public static final String FESEN_TYPE_AWS = "aws";

    /** Search engine username configuration key. */

| Facet Fields | Configure in Fess search settings |
| Highlighting | Built-in in Fess search results |

---

### Other Search Systems

For proprietary or custom search systems:

#### API-Based Migration

**Step 1: Extract Documents**

Use your current system's API or export functionality to extract:
- Document URLs or identifiers
- Document content/text
- Metadata (title, author, date, etc.)

     * @param fields Array of field names to include in the results
     * @param userBean Optional user information for permission checking
     * @param searchRequestType Type of search request for role-based access control
     * @return List of document data maps
     */
    public List<Map<String, Object>> getDocumentListByDocIds(final String[] docIds, final String[] fields,