## Key Features

- **Smart Query Suggestions**: Real-time auto-completion and search suggestions
- **Multi-language Support**: Built-in support for Japanese text processing with Kuromoji analyzer
- **Popular Words Analytics**: Track and analyze frequently searched terms
- **Flexible Text Processing**: Configurable converters and normalizers for text transformation

                .put("analysis.analyzer.test_reading_analyzer.type", "custom")
                .put("analysis.analyzer.test_reading_analyzer.tokenizer", "standard")
                .put("analysis.analyzer.test_reading_term_analyzer.type", "custom")
                .put("analysis.analyzer.test_reading_term_analyzer.tokenizer", "standard")
                .put("analysis.analyzer.test_reading_analyzer_ja.type", "custom")

- `src/main/resources/suggest_indices/suggest/mappings-default.json` - Field mappings
- `src/main/resources/suggest_indices/analyzer/mapping-default.json` - Analyzer mapping
- `src/main/resources/suggest_indices/suggest_analyzer.json` - Analyzer settings
- `src/main/resources/suggest_indices/suggest_settings.json` - Suggest settings
- `src/main/resources/suggest_indices/suggest_settings_array.json` - Array settings

        Model effectiveModel = result.getEffectiveModel();

        // Analyze plugins from effective model
        return analyzePluginsFromEffectiveModel(context, effectiveModel, pluginUpgrades);
    }

    /**
     * Analyzes plugins from the effective model and determines which ones need upgrades.
     */
    private Set<String> analyzePluginsFromEffectiveModel(

import java.util.List;

import org.codelibs.fess.suggest.settings.AnalyzerSettings;
import org.codelibs.fess.suggest.settings.SuggestSettings;
import org.opensearch.action.admin.indices.analyze.AnalyzeAction;
import org.opensearch.action.admin.indices.analyze.AnalyzeAction.AnalyzeToken;
import org.opensearch.transport.client.Client;

/**
 * AnalyzerNormalizer is a class that implements the Normalizer interface.

                            .stream();
                } catch (OpenSearchStatusException | IllegalStateException e) {
                    final String msg = e.getMessage();
                    if (StringUtil.isNotEmpty(msg) && msg.contains("index.analyze.max_token_count")) {

   * or extract a variable, and put the suppression on that. However, a local variable typically
   * doesn't work: Because nullness analyses typically infer the nullness of local variables,
   * there's no way to assign a {@code @Nullable T} to a field {@code T foo;} and instruct the
   * analysis that that means "plain {@code T}" rather than the inferred type {@code @Nullable T}.

   * or extract a variable, and put the suppression on that. However, a local variable typically
   * doesn't work: Because nullness analyses typically infer the nullness of local variables,
   * there's no way to assign a {@code @Nullable T} to a field {@code T foo;} and instruct the
   * analysis that that means "plain {@code T}" rather than the inferred type {@code @Nullable T}.

   * or extract a variable, and put the suppression on that. However, a local variable typically
   * doesn't work: Because nullness analyses typically infer the nullness of local variables,
   * there's no way to assign a {@code @Nullable T} to a field {@code T foo;} and instruct the
   * analysis that that means "plain {@code T}" rather than the inferred type {@code @Nullable T}.

   * or extract a variable, and put the suppression on that. However, a local variable typically
   * doesn't work: Because nullness analyses typically infer the nullness of local variables,
   * there's no way to assign a {@code @Nullable T} to a field {@code T foo;} and instruct the
   * analysis that that means "plain {@code T}" rather than the inferred type {@code @Nullable T}.