*/
package org.codelibs.fess.suggest.index.contents.document;

import java.io.Closeable;
import java.util.Map;

/**
 * Interface for reading documents and extracting their contents into a map.
 * Implementations of this interface should provide the logic for reading
 * documents and converting them into a key-value structure.
 *
 * <p>This interface extends {@link java.io.Closeable}, so implementations

                    continue;
                }

                String reading = getReadingFromAttribute(stream);
                if (Strings.isNullOrEmpty(reading)) {
                    reading = transliterator.transliterate(att.toString());
                }
                kanaBuf.append(reading);
                offset += term.length();
            }
        }

 * <li>{@link #langFieldName} - Language field name.
 * <li>{@link #badWords} - List of bad words.
 * <li>{@link #parallel} - Flag for parallel processing.
 * <li>{@link #readingConverter} - Reading converter.
 * <li>{@link #contentsReadingConverter} - Contents reading converter.
 * <li>{@link #normalizer} - Normalizer.
 * <li>{@link #analyzer} - Suggest analyzer.
 * <li>{@link #contentsParser} - Contents parser.

                        final String reading = readingList.get(readingCount);
                        if (i + 1 == queries.length && prefixQuery) {
                            readingQueryBuilder.should(QueryBuilders.prefixQuery(fieldName, reading));
                        } else {
                            readingQueryBuilder.should(QueryBuilders.termQuery(fieldName, reading));
                        }
                    }

 *       normalization, contents, and contents reading) for a specific field.</li>
 * </ul>
 *
 * @see SuggestAnalyzer
 * @see FieldAnalyzerMapping
 */
public class AnalyzerSettings {
    /** Analyzer name for reading. */
    public static final String READING_ANALYZER = "reading_analyzer";
    /** Analyzer name for reading term. */

            final String term = tokens.get(i).getTerm();
            final String reading = readingTokens.get(i).getTerm();
            switch (term) {
            case "fess":
                matchCount++;
                assertEquals("fess", reading);
                break;
            case "検索":
                matchCount++;
                assertEquals("ケンサク", reading);
                break;
            case "無料":

     *
     * @param responseData the response data containing the response body
     * @return a temporary file containing the response body
     * @throws CrawlingAccessException if an error occurs while reading the response body
     */
    public static File createResponseBodyFile(final ResponseData responseData) {
        File tempFile = null;
        FileOutputStream fos = null;

    private final File tempFile;

    private final FileInputStream fileInputStream;

    /**
     * A class that provides an input stream for reading from a temporary file.
     * This class wraps a {@link FileInputStream} to read from the specified temporary file.
     *
     * @param tempFile the temporary file to be read

public class SuggestRequestBuilder extends RequestBuilder<SuggestRequest, SuggestResponse> {
    /**
     * Constructor for SuggestRequestBuilder.
     * @param client The OpenSearch client.
     * @param readingConverter The reading converter.
     * @param normalizer The normalizer.
     */
    public SuggestRequestBuilder(final Client client, final ReadingConverter readingConverter, final Normalizer normalizer) {

     *
     * @param outputFile the converted output file
     * @param outExt the output file extension
     * @return the extracted text content
     * @throws ExtractException if an error occurs while reading the file
     */
    protected String getOutputContent(final File outputFile, final String outExt) {
        final Extractor extractor = getExtractor(outExt);
        if (extractor != null) {