}

    @Test
    public void testMultipleReadingsConversion() {
        // Test conversion of multiple readings to SuggestItem format
        String word = "multi reading";
        float boost = 1.0f;
        List<String> readings = Arrays.asList("reading1", "reading2", "reading3", "reading4", "reading5");
        List<String> fields = Arrays.asList("field1");
        List<String> tags = Arrays.asList("tag1");

        String[][] readings = { { "reading1" }, { "reading2" } };
        String[] fields = { "field1", "field2" };
        String[] tags = { "tag1", "tag2" };
        String[] roles = { "role1", "role2" };
        String[] languages = { "en", "ja" };
        SuggestItem.Kind kind = SuggestItem.Kind.QUERY;

        SuggestItem item = new SuggestItem(text, readings, fields, 100L, 50L, 1.5f, tags, roles, languages, kind);

    }

    @Test
    public void testCreateBulkLine() {
        // Test creating bulk line for indexing
        SuggestItem item = new SuggestItem(new String[] { "test text" }, new String[][] { { "reading1" }, { "reading2" } },
                new String[] { "field1", "field2" }, 10, // queryFreq
                5, // docFreq
                2.0f, // userBoost

        String field = "content";

        List<String> readings1 = converter1.convert(text, field, "en");
        List<String> readings2 = converter2.convert(text, field, "ja");

        assertNotNull(readings1);
        assertNotNull(readings2);
        assertEquals("TEST", readings1.get(0));
        assertEquals("TEST", readings2.get(0));
    }

    @Test

     *
     * @param elevateWord the elevate word
     * @param boost the boost value
     * @param readings the list of readings
     * @param fields the list of fields
     * @param tags the list of tags
     * @param roles the list of roles
     */
    public ElevateWord(final String elevateWord, final float boost, final List<String> readings, final List<String> fields,
            final List<String> tags, final List<String> roles) {

 */
public interface ContentsParser {
    /**
     * Parses the given search words and creates a SuggestItem.
     *
     * @param words the array of search words
     * @param readings the array of readings corresponding to the search words
     * @param fields the array of fields associated with the search words
     * @param tags the array of tags associated with the search words

 * <li>{@link #ANALYZER_SETTINGS_FIELD_NAME} - The analyzer settings field name.</li>
 * <li>{@link #ANALYZER_SETTINGS_READING_ANALYZER} - The reading analyzer settings field.</li>
 * <li>{@link #ANALYZER_SETTINGS_READING_TERM_ANALYZER} - The reading term analyzer settings field.</li>
 * <li>{@link #ANALYZER_SETTINGS_NORMALIZE_ANALYZER} - The normalize analyzer settings field.</li>

                if (readings != null && readings.length > i && readings[i].length > 0) {
                    for (final String reading : readings[i]) {
                        if (!l.contains(reading)) {
                            l.add(reading);
                        }
                    }
                }

                wordsList.add(word);

import java.io.IOException;
import java.util.List;

/**
 * Interface for converting text into its reading form.
 */
public interface ReadingConverter {

    /**
     * Returns the maximum number of readings.
     *
     * @return the maximum number of readings, default is 10.
     */
    default int getMaxReadingNum() {
        return 10;
    }

    /**

        final Map<String, Object> secondLine = new HashMap<>();

        secondLine.put("text", item.getText());

        // reading
        final String[][] readings = item.getReadings();
        for (int i = 0; i < readings.length; i++) {
            secondLine.put("reading_" + i, readings[i]);
        }

        secondLine.put("fields", item.getFields());
        secondLine.put("queryFreq", item.getQueryFreq());