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);

 */
package org.codelibs.fess.query;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.TermRangeQuery;
import org.apache.lucene.util.BytesRef;
import org.codelibs.fess.Constants;
import org.codelibs.fess.entity.QueryContext;
import org.codelibs.fess.exception.InvalidQueryException;

     */
    @Test
    public void testPrefix() throws Exception {
        final CopyOptions option = new CopyOptions();
        assertThat(option.prefix(BeanNames.search_()), is(sameInstance(option)));
        assertThat(option.prefix, is("search_"));
    }

    /**
     * @throws Exception
     */
    @Test
    public void testBeanDelimiter() throws Exception {
        final CopyOptions option = new CopyOptions();

    /**
     * Private constructor to prevent instantiation.
     */
    private SystemUtil() {
    }

    /**
     * Gets the HTTP address of the search engine.
     *
     * @return The search engine HTTP address.
     */
    public static String getSearchEngineHttpAddress() {
        return System.getProperty(Constants.FESS_SEARCH_ENGINE_HTTP_ADDRESS);
    }

    }

    /**
     * Retrieves related content for a given search query.
     * First checks for exact term matches, then evaluates regex patterns.
     * For regex matches, the query placeholder is replaced with the actual query.
     *
     * @param query the search query to find related content for
     * @return array of related content strings, or empty array if no matches found

import jakarta.annotation.Resource;

/**
 * API action for admin elevate word management.
 * Provides RESTful API endpoints for managing elevate word settings in the Fess search engine.
 * Elevate words boost specific search terms to appear higher in search results.
 */
public class ApiAdminElevatewordAction extends FessApiAdminAction {

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

import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.SignificantTermsAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.AvgAggregationBuilder;
import org.opensearch.search.aggregations.metrics.CardinalityAggregationBuilder;

 */
package org.codelibs.fess.app.web.admin.keymatch;

/**
 * The search form for Key Match.
 */
public class SearchForm {

    /**
     * Default constructor for SearchForm.
     */
    public SearchForm() {
    }

    /**
     * The search term field for key match configuration.
     */
    public String term;

    /**

import org.codelibs.fess.app.web.api.admin.BaseSearchBody;

/**
 * Search request body for related content administration API.
 */
public class SearchBody extends BaseSearchBody {

    /**
     * Default constructor.
     */
    public SearchBody() {
        super();
    }

    /** Search term for related content */
    public String term;

    /** Content text for related content */

# CLAUDE.md

This file provides guidance to Claude Code when working with this repository.

## Project Overview

Fess is an Enterprise Search Server built on OpenSearch. It's a Java-based web application that crawls and indexes documents from various sources and provides full-text search capabilities.

## Development Commands

### Setup
```bash
# Download OpenSearch plugins (required before first build)
mvn antrun:run