import org.opensearch.common.xcontent.XContentType;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;

public class Suggester {
    private static final Logger logger = LogManager.getLogger(Suggester.class);

    protected final Client client;
    protected final SuggestSettings suggestSettings;
    protected final ReadingConverter readingConverter;

============

Library for suggest.

## Usage

### Suggester生成

```java
String suggestId = "id";
Suggester suggester = Suggester.builder().build(client, suggestId);

```

Suggesterを生成すると指定したIDに対応した以下の設定がElasticsearchのインデックスに作成されます。

* .suggest
    * suggesterの設定
    * インデックス/タイプ名
    * tagフィールド名
    * roleフィールド名
* .suggest-array
    * suggesterの設定（配列）
    * 対応フィールド名

２回目以降のインスタンス生成時には、作成済みの設定が再利用されます。

        assertEquals(2, suggester.getDocumentWordsNum());
        assertEquals(1, suggester.getQueryWordsNum());

        suggester.indexer().deleteDocumentWords();
        suggester.refresh();
        assertEquals(1, suggester.getAllWordsNum());
        assertEquals(0, suggester.getDocumentWordsNum());
        assertEquals(1, suggester.getQueryWordsNum());
    }

    @Test

            .setQuery(query)
            .execute().getResponse();
    }

    public void index() {
        Suggester suggester = ComponentsUtil.suggester;
        DocumentReader reader = new ESSourceReader(ComponentsUtil.runner.client(),
            suggester.settings(),
            ComponentsUtil.contentIndexName,
            ComponentsUtil.contentTypeName);

============

Library for suggest.

## Usage

### Create suggester instance

```java
String suggestId = "id";
Suggester suggester = Suggester.builder().build(client, suggestId);

```

### Suggest

```java
SuggestResponse response = suggester.suggest().setQuery("kensaku").execute().getResponse();
```

### Suggest async

```
suggester.suggest().setQuery("kensaku").execute()
  .done(
    response -> {}

    }

    public long getAllWordsNum() {
        return suggester.getAllWordsNum();
    }

    public long getDocumentWordsNum() {
        return suggester.getDocumentWordsNum();
    }

    public long getQueryWordsNum() {
        return suggester.getQueryWordsNum();
    }

        final String id = "BuildTest";
        final Suggester suggester = Suggester.builder().build(runner.client(), id);

        assertNotNull(suggester);
        assertNotNull(suggester.client);
        assertNotNull(suggester.indexer());
        assertNotNull(suggester.getNormalizer());
        assertNotNull(suggester.getReadingConverter());
        assertNotNull(suggester.settings());

        try {
            ComponentsUtil.contentIndexName = "test-content";
            ComponentsUtil.contentTypeName = "test";
            ComponentsUtil.suggester = Suggester.builder().build(ComponentsUtil.runner.client(), "test");
            ComponentsUtil.suggester.createIndexIfNothing();
        } catch (Exception e) {
            Logger.error("Failed to create components.", e);
        }
    }

        }
        runner.refresh();
        suggester = Suggester.builder().build(runner.client(), "SuggesterTest");
        suggester.createIndexIfNothing();
    }

    @Test
    public void test_Read() throws Exception {
        String indexName = "test-index";
        Client client = runner.client();
        SuggestSettings settings = suggester.settings();
        int num = 10000;

import static org.junit.Assert.assertEquals;

import org.codelibs.fess.suggest.Suggester;
import org.codelibs.fess.suggest.util.SuggestUtil;
import org.codelibs.opensearch.runner.OpenSearchRunner;
import org.junit.AfterClass;
import org.junit.BeforeClass;
import org.junit.Test;

public class DefaultNormalizerTest {
    static Suggester suggester;

    static OpenSearchRunner runner;

    @BeforeClass