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.

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**.

import org.lastaflute.core.mail.Postbox;
import org.opensearch.action.bulk.BulkRequestBuilder;
import org.opensearch.action.search.SearchResponse;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.SearchHit;
import org.opensearch.search.sort.SortOrder;

/**
 * Job for sending log notifications.
 */
public class LogNotificationJob {

    /**
     * Default constructor.

import io.restassured.path.json.JsonPath;
import io.restassured.response.Response;

/**
 * Integration tests for the Scroll Search API (/api/v1/documents/all)
 * This test requires crawled documents and api.search.scroll to be enabled
 */
@Tag("it")
@Disabled("Requires api.search.scroll to be enabled in fess_config.properties")
public class ScrollSearchApiTests extends CrawlTestBase {

import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.apache.lucene.search.Query;
import org.codelibs.fess.entity.QueryContext;
import org.codelibs.fess.exception.InvalidQueryException;
import org.lastaflute.core.message.UserMessages;
import org.opensearch.index.query.QueryBuilder;

# CLAUDE.md - Fess Suggest Project Guide

> AI assistant guidance for the Fess Suggest project - a Java library providing intelligent search suggestions built on OpenSearch.

## Project Overview

**Fess Suggest** delivers auto-completion, search suggestions, and popular word analytics with multi-language support.

**Technology Stack:**
- Java 21+, Maven
- OpenSearch (provided dependency)
- Apache Lucene (query parsing, text analysis)

replacers:
  # Strip backport branch prefixes like [maven-4.0.x], [maven-3.x], etc.
  - search: '/^\[maven-[\d\.x-]+\]\s*-?\s*/g'
    replace: ''
  # Convert JIRA ticket references to links (but not maven branch prefixes)
  - search: '/\[([A-Z]+)-(\d+)\]\s*-?\s*/g'

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

/**
 * The search form for Related Content.
 */
public class SearchForm {

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

    /**
     * The search term field for related content.
     */
    public String term;

    /**

        }

        return new String[0];
    }

    /**
     * Check if the search word is excluded.
     * @param searchWord Search word
     * @param field Field
     * @param langs Languages
     * @param analyzer Analyzer
     * @return True if the search word is excluded
     */
    protected boolean isExcludeSearchword(final String searchWord, final String field, final String[] langs,

 */
package org.codelibs.fess.app.web.api.admin.dict.kuromoji;

import org.codelibs.fess.app.web.api.admin.dict.BaseSearchDictBody;

/**
 * Search request body for Kuromoji dictionary administration.
 * Extends BaseSearchDictBody with Kuromoji dictionary-specific search parameters.
 */
public class SearchBody extends BaseSearchDictBody {

    /**
     * Default constructor for SearchBody.
     */