/**
 * The SuggestSettings class is responsible for managing the settings related to suggestions.
 * It interacts with an OpenSearch client to store and retrieve settings.
 *
 * <p>This class provides methods to initialize settings, get and set individual settings,
 * and manage various types of settings such as array settings, analyzer settings, bad word settings,
 * and elevate word settings.</p>
 *

    protected final Client client;
    /** Array settings index name. */
    protected final String arraySettingsIndexName;
    /** Settings ID. */
    protected final String settingsId;
    /** Suggest settings. */
    protected final SuggestSettings settings;

    private static final Base64.Encoder encoder = Base64.getEncoder();

    /**
     * Constructor.
     * @param settings Suggest settings

    /**
     * Updates the analyzer settings.
     * @param settings The settings to update.
     */
    public void updateAnalyzer(final Map<String, Object> settings) {
        client.admin()
                .indices()
                .prepareCreate(analyzerSettingsIndexName)
                .setSettings(settings)
                .execute()
                .actionGet(this.settings.getIndicesTimeout());
    }

    /**

    }

    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 {

        supportedFields = settings.array().get(SuggestSettings.DefaultKeys.SUPPORTED_FIELDS);
        badWords = settings.badword().get(true);
        tagFieldNames = settings.getAsString(SuggestSettings.DefaultKeys.TAG_FIELD_NAME, StringUtil.EMPTY).split(",");
        roleFieldName = settings.getAsString(SuggestSettings.DefaultKeys.ROLE_FIELD_NAME, StringUtil.EMPTY);

  }

  /** Merges [settings] into this peer's settings and sends them to the remote peer. */
  @Throws(IOException::class)
  fun setSettings(settings: Settings) {
    writer.withLock {
      withLock {
        if (isShutdown) {
          throw ConnectionShutdownException()
        }
        okHttpSettings.merge(settings)
      }
      writer.settings(settings)
    }
  }

     * @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));
        /*

    }

    @Test
    public void testBuildWithDefaults() {
        // Test building with default values
        String id = "test-id";
        SuggestSettings settings = builder.build(client, id);

        assertNotNull(settings);
        // Verify that the settings object was created with the correct parameters
        // Note: We can't directly verify internal state of SuggestSettings without getters,

    }

    @Test
    public void test_indexFromQueryLogWithParallel() throws Exception {
        SuggestSettings settings = suggester.settings();
        settings.set(SuggestSettings.DefaultKeys.PARALLEL_PROCESSING, "true");
        String field = settings.array().get(SuggestSettings.DefaultKeys.SUPPORTED_FIELDS)[0];

        QueryLog[] queryLogs = new QueryLog[10];
        for (int i = 0; i < 10; i++) {

                .setIndex(suggester.settings().analyzer().getAnalyzerSettingsIndexName())
                .setSource(analyzerMapping)
                .setRefreshPolicy(WriteRequest.RefreshPolicy.WAIT_UNTIL)
                .execute()
                .actionGet();
        suggester.settings().analyzer().init();

        SuggestSettings settings = suggester.settings();