#!/bin/bash

touch $(ls -d ./fess-*/logs)/fess-crawler.log
tail -f ./fess-*/logs/*.log &

mvn test -P integrationTests -Dtest.fess.url="http://localhost:8080" -Dtest.search_engine.url="http://localhost:9201"
ret=$?

if [ $ret != 0 ] ; then
  for f in `find ./target -type f | grep surefire-reports | grep -v /TEST-` ; do
    cat $f
  done
fi

  BeforeEachCallback,
  AfterEachCallback {
  constructor(loggerName: Class<*>) : this(Logger.getLogger(loggerName.getName()))

  private val logs = LinkedBlockingQueue<String>()

  private val handler =
    object : Handler() {
      override fun publish(logRecord: LogRecord) {
        logs += "${logRecord.level}: ${logRecord.message}"
      }

      override fun flush() {
      }

      override fun close() {
      }

    // GET /api/admin/joblog/logs
    /**
     * Returns list of job logs.
     * Supports filtering and pagination for job execution history.
     *
     * @param body search parameters for filtering and pagination
     * @return JSON response containing job logs list with pagination info
     */
    @Execute
    public JsonResponse<ApiResult> logs(final SearchBody body) {

    /**
     * The log type field for filtering search logs.
     */
    public String logType;

    /**
     * The query ID field for searching specific queries.
     */
    public String queryId;

    /**
     * The user session ID field for filtering logs by session.
     */
    public String userSessionId;

    /**
     * The requested time range field for filtering logs by date.
     */

 *
 * This interface defines the contract for search log event objects that can be
 * written to log files or stored in the search index. Implementations include
 * search logs, click logs, favorite logs, and user information logs.
 */
public interface SearchLogEvent {
    /**
     * Gets the unique identifier for this search log event.
     *
     * @return The event ID
     */
    String getId();

    /**

import org.codelibs.fess.helper.SystemHelper;
import org.codelibs.fess.util.ComponentUtil;

/**
 * Job for purging old log entries from the system.
 * This job removes old crawling sessions, search logs, job logs, and user info logs
 * based on configured retention periods. It helps maintain system performance by
 * preventing log tables from growing too large.
 */
public class PurgeLogJob {

    /** Logger instance for this class */

    try {
      client.newCall(request).execute()
    } catch (uhe: UnknownHostException) {
      // expected
    }

    val logs = ShadowLog.getLogsForTag(AndroidPlatform.Tag)
    assertThat(logs.map { it.type }).containsOnly(Log.INFO)
    assertThat(
      logs.map {
        it.msg.replace(
          "\\d+".toRegex(),
          "",
        )
      },
    ).containsExactly(

import org.apache.logging.log4j.Logger;
import org.codelibs.fess.helper.SearchLogHelper;
import org.codelibs.fess.util.ComponentUtil;

/**
 * Job for aggregating and storing search logs.
 * This job processes search logs and stores them in the search log repository.
 */
public class AggregateLogJob {

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

    /**

import org.codelibs.fess.util.ComponentUtil;

/**
 * Pager class for search log pagination and filtering.
 *
 * This class provides pagination functionality for various types of search logs
 * including search logs, click logs, favorite logs, and user information logs.
 * It also supports different aggregation types for analytics and reporting.
 */
public class SearchLogPager implements Serializable {

    /** Serial version UID for serialization. */

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**.