final List<String> roles = (List<String>) sourceArray[i].get(ELEVATE_WORD_ROLES);
            if (elevateWord != null && boost != null && readings != null && fields != null) {
                elevateWords[i] =
                        new ElevateWord(elevateWord.toString(), Float.parseFloat(boost.toString()), readings, fields, tags, roles);
            }
        }
        return elevateWords;
    }

    /**
     * Add an elevate word.

        String[] words = new String[] { "word1", "word2", "word3" };
        // Only provide readings for first word
        String[][] readings = new String[][] { new String[] { "reading1" } };
        String[] fields = new String[] { "content" };

        SuggestItem item =
                parser.parseSearchWords(words, readings, fields, null, null, 1, defaultReadingConverter, defaultNormalizer, analyzer, null);

        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());

 * A chain of {@link ReadingConverter} implementations that applies each converter in sequence to generate possible reading variations of a given text.
 * It maintains a list of ReadingConverter instances and iterates through them, applying each converter to the input text and accumulating the results.
 * The chain stops processing when the maximum number of readings is reached.
 */
public class ReadingConverterChain implements ReadingConverter {
    /**

### SuggestItem (Domain Entity)
Location: `src/main/java/org/codelibs/fess/suggest/entity/SuggestItem.java`

Core attributes: `text`, `timestamp`, `queryFreq`, `docFreq`, `userBoost`, `readings`, `tags`, `roles`, `languages`, `kinds`

Kind types: `DOCUMENT`, `QUERY`, `USER`

---

## Development Workflow

### Build Commands

```bash

import java.time.Duration;
import java.util.concurrent.TimeUnit;

/**
 * An object that accurately measures <i>elapsed time</i>: the measured duration between two
 * successive readings of "now" in the same process.
 *
 * <p>In contrast, <i>wall time</i> is a reading of "now" as given by a method like
 * {@link System#currentTimeMillis()}, best represented as an {@link java.time.Instant}. Such values

import java.time.Duration;
import java.util.concurrent.TimeUnit;

/**
 * An object that accurately measures <i>elapsed time</i>: the measured duration between two
 * successive readings of "now" in the same process.
 *
 * <p>In contrast, <i>wall time</i> is a reading of "now" as given by a method like
 * {@link System#currentTimeMillis()}, best represented as an {@link java.time.Instant}. Such values

      @SuppressWarnings("unchecked") // reading data stored by writeMap
      K key = (K) stream.readObject();
      @SuppressWarnings("unchecked") // reading data stored by writeMap
      V value = (V) stream.readObject();
      map.put(key, value);
    }
  }

  /**
   * Stores the contents of a multiset in an output stream, as part of serialization. It does not

        if (opLambda != null) {
            opLambda.callback(builder);
        }
    }

    public void setReading_SpanTerm(String reading) {
        setReading_SpanTerm("reading", null);
    }

    public void setReading_SpanTerm(String reading, ConditionOptionCall<SpanTermQueryBuilder> opLambda) {
        SpanTermQueryBuilder builder = regSpanTermQ("reading", reading);

        String[][] readings = new String[1][];
        readings[0] = new String[] { "test" };
        items.add(new SuggestItem(new String[] { "test" }, readings, new String[] { "content" }, 1, 0, -1, new String[] { "tag1" },
                new String[] { SuggestConstants.DEFAULT_ROLE }, null, SuggestItem.Kind.DOCUMENT));