import org.apache.maven.api.annotations.Nonnull;
import org.apache.maven.api.settings.Settings;

/**
 *
 * @since 4.0.0
 */
@Experimental
public interface SettingsBuilderResult extends Result<SettingsBuilderRequest> {

    /**
     * Gets the assembled settings.
     *
     * @return the assembled settings, never {@code null}
     */
    @Nonnull
    Settings getEffectiveSettings();

    /**

    /** Array settings for elevate words. */
    protected ArraySettings arraySettings;

    /**
     * Constructor.
     * @param settings Suggest settings
     * @param client OpenSearch client
     * @param settingsIndexName Settings index name
     * @param settingsId Settings ID
     */
    protected ElevateWordSettings(final SuggestSettings settings, final Client client, final String settingsIndexName,

        String indexName = "test-index";
        Client client = runner.client();
        SuggestSettings settings = suggester.settings();
        int num = 10000;

        addDocument(indexName, client, num);

        ESSourceReader reader = new ESSourceReader(client, settings, indexName);
        reader.setScrollSize(1000);
        int count = 0;

    }

    private static void initializeSuggestSettings() throws Exception {
        // Create suggester and get settings
        Suggester suggester = Suggester.builder().build(client, "test");
        settings = suggester.settings();

        // Store analyzer settings
        storeAnalyzerSettings();
    }

    private static void storeAnalyzerSettings() throws Exception {

    /** The user service for managing user settings. */
    @Resource
    private UserService userService;

    /**
     * Retrieves user settings with pagination.
     *
     * @param body the search parameters for filtering and pagination
     * @return JSON response containing user settings list
     */
    // GET /api/admin/user/settings
    // PUT /api/admin/user/settings
    @Execute

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**.

    private final SuggestSettings settings;
    private final SuggestWriter suggestWriter;

    /**
     * Constructor.
     *
     * @param client The OpenSearch client
     * @param settings The suggest settings
     * @param suggestWriter The suggest writer for performing deletions
     */
    public DeletionOperations(final Client client, final SuggestSettings settings, final SuggestWriter suggestWriter) {

        // nothing
    }

    /** The settings index name. */
    protected String settingsIndexName = "fess_suggest";

    /** The timeout settings. */
    protected TimeoutSettings timeoutSettings = new TimeoutSettings();

    /** The initial settings. */
    protected Map<String, Object> initialSettings = new HashMap<>();

    /**
     * Sets the settings index name.

     * @param settings the suggest settings to be used for creating the normalizer
     * @return a NormalizerChain with the default normalizers
     */
    public static Normalizer createDefaultNormalizer(final Client client, final SuggestSettings settings) {
        final NormalizerChain normalizerChain = new NormalizerChain();
        normalizerChain.add(new AnalyzerNormalizer(client, settings));
        /*

def main() -> None:
    logging.basicConfig(level=logging.INFO)
    settings = Settings()
    logging.info(f"Using config: {settings.model_dump_json()}")
    rate_limiter.speed_multiplier = settings.speed_multiplier
    g = Github(settings.github_token.get_secret_value())
    repo = g.get_repo(settings.github_repository)

    discussion_nodes = get_discussion_nodes(settings=settings)