import org.opensearch.common.settings.Settings.Builder;
import org.opensearch.transport.client.Client;

/**
 * OpenSearch client implementation specifically for crawler operations.
 * Extends FesenClient to provide search engine connectivity for the crawler components.
 */
public class CrawlerEngineClient extends FesenClient {

    /**
     * Creates a new instance of CrawlerEngineClient.
     */
    public CrawlerEngineClient() {

 * This form extends CreateForm to include fields necessary for updating existing label type entries,
 * including tracking information for optimistic locking and audit trails.
 * Label types are used to categorize and filter documents in search results.
 *
 */
public class EditForm extends CreateForm {

    /**
     * Creates a new EditForm instance.
     */
    public EditForm() {
        super();
    }

    /**

 * This form extends CreateForm to include fields necessary for updating existing elevate word entries,
 * including tracking information for optimistic locking and audit trails.
 * Elevate words are used to boost specific documents in search results when certain keywords are matched.
 *
 */
public class EditForm extends CreateForm {

    /**
     * Creates a new EditForm instance.
     */
    public EditForm() {
        super();
    }

    }

    public void test_complexConditions() {
        final Map<String, String[]> conditions = new HashMap<>();
        conditions.put("q", new String[] { "search term" });
        conditions.put("epq", new String[] { "exact phrase" });
        conditions.put("oq", new String[] { "word1 word2" });
        conditions.put("nq", new String[] { "exclude" });

   * there would exist a perfect hash function mapping threads to
   * slots that eliminates collisions. When we reach capacity, we
   * search for this mapping by randomly varying the hash codes of
   * colliding threads.  Because search is random, and collisions
   * only become known via CAS failures, convergence can be slow,
   * and because threads are typically not bound to CPUS forever,

import org.codelibs.fess.opensearch.config.cbean.cq.CrawlingInfoCQ;
import org.codelibs.fess.opensearch.config.cbean.cq.bs.BsCrawlingInfoCQ;
import org.dbflute.cbean.ConditionQuery;
import org.opensearch.action.search.SearchRequestBuilder;
import org.opensearch.index.query.QueryBuilder;

/**
 * @author ESFlute (using FreeGen)
 */
public class BsCrawlingInfoCB extends EsAbstractConditionBean {

import org.codelibs.fess.opensearch.log.cbean.cq.FavoriteLogCQ;
import org.codelibs.fess.opensearch.log.cbean.cq.bs.BsFavoriteLogCQ;
import org.dbflute.cbean.ConditionQuery;
import org.opensearch.action.search.SearchRequestBuilder;
import org.opensearch.index.query.QueryBuilder;

/**
 * @author ESFlute (using FreeGen)
 */
public class BsFavoriteLogCB extends EsAbstractConditionBean {

{"index":{"_index":"fess_config.scheduled_job","_id":"ping_es"}}

        chains().of(stream -> stream.forEach(c -> c.delete(user)));
    }

    /**
     * Loads user information by processing through all authentication chains.
     * @param user The user template containing search criteria.
     * @return The loaded and enriched user information.
     */
    public User load(final User user) {
        User u = user;
        for (final AuthenticationChain chain : chains) {

                total=5,
                backoff_factor=0.2,
                status_forcelist=[500, 502, 503, 504]
            )
        )

    def load(self):
        """
        Search for credentials with client_grants
        """
        if self.cid is not None:
            fetcher = self._create_credentials_fetcher()
            return RefreshableCredentials.create_from_metadata(