import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;
import org.opensearch.index.query.functionscore.RandomScoreFunctionBuilder;
import org.opensearch.search.sort.SortBuilders;
import org.opensearch.search.sort.SortOrder;

/**
 * Fess-specific URL queue service that extends OpenSearch URL queue functionality.

                                                    name="search"
                                                    value="<la:message key="labels.crud_button_search" />">
                                                <em class="fa fa-search">
                                                <la:message key="labels.crud_button_search"/>

import org.codelibs.fess.util.DocumentUtil;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.script.Script;

/**
 * Job class for updating label information in the search index.
 * This job processes documents and updates their label fields based on URL pattern matching.
 */
public class UpdateLabelJob {

    private static final Logger logger = LogManager.getLogger(UpdateLabelJob.class);

/**
 * Entity class containing highlighting configuration for search result text highlighting.
 * This class manages highlighting parameters such as fragment size, number of fragments,
 * and highlighting type for displaying search query matches in result snippets.
 */
public class HighlightInfo {
    /** The highlighting type (e.g., plain, html). */
    private String type;
    /** The size of each highlighted fragment in characters. */

import org.opensearch.action.search.SearchRequestBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.sort.SortOrder;

import jakarta.annotation.PostConstruct;
import jakarta.annotation.PreDestroy;
import jakarta.annotation.Resource;

/**
 * IndexUpdater is responsible for updating the search index with crawled document data.

    }

    public void test_load_sameTermDifferentHosts() {
        List<RelatedQuery> testData = new ArrayList<>();
        testData.add(createRelatedQuery("search", new String[] { "find", "lookup" }, "site1.com"));
        testData.add(createRelatedQuery("search", new String[] { "query", "discover" }, "site2.com"));
        mockBhv.setTestData(testData);

        relatedQueryHelper.load();

import jakarta.annotation.Resource;

/**
 * API action for admin file configuration management.
 * Provides RESTful API endpoints for managing file crawling configuration settings in the Fess search engine.
 * File configurations define settings for crawling file systems, FTP servers, and other file-based data sources.
 *
 */
public class ApiAdminFileconfigAction extends FessApiAdminAction {

import java.util.Locale;

import org.apache.commons.lang3.StringUtils;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.WildcardQuery;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.fess.Constants;
import org.codelibs.fess.entity.QueryContext;
import org.codelibs.fess.exception.InvalidQueryException;

import org.codelibs.fess.mylasta.direction.FessConfig;
import org.codelibs.fess.util.ComponentUtil;
import org.opensearch.search.aggregations.BucketOrder;

import jakarta.annotation.PostConstruct;

/**
 * Entity class representing facet configuration information for search results.
 * This class holds configuration settings for faceted search including field facets,
 * query facets, and various parameters that control facet behavior.
 */

kibana 7 settings for fess
=====

Providing example of kibana settings file for monitoring search logs of fess.

## Install

1. Install and launch Fess.
1. Install and launch kibana.
1. Go to kibana home [http://localhost:5601/](http://localhost:5601/).
1. Click **Management**.
1. Click **Index Patterns**.
1. Click **Create index pattern** button
1. Input "fess\_log\*" to the textbox of **index pattern**.
1. Click **Next step**.