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

import java.util.List;
import java.util.Map;

import org.codelibs.fess.suggest.analysis.SuggestAnalyzer;
import org.codelibs.fess.suggest.converter.ReadingConverter;
import org.codelibs.fess.suggest.entity.SuggestItem;
import org.codelibs.fess.suggest.index.contents.querylog.QueryLog;
import org.codelibs.fess.suggest.normalizer.Normalizer;

/**

        String extention;
        String content;
        if (File.separator.equals("/")) {
            // Unix
            extention = ".sh";
            content = "#!/bin/bash\nsleep " + sleep + ";cp $1 $2";
        } else {
            // Windows
            extention = ".bat";
            content = "ping localhost -n " + sleep + "\r\ncopy %1 %2";
        }
        File file;

 * </ul>
 *
 * <p>Protected static class:</p>
 * <ul>
 *   <li>FieldAnalyzerMapping: Holds the analyzer names for different types of analysis (reading, reading term,
 *       normalization, contents, and contents reading) for a specific field.</li>
 * </ul>
 *
 * @see SuggestAnalyzer
 * @see FieldAnalyzerMapping
 */
public class AnalyzerSettings {
    /** Analyzer name for reading. */

        String field = "content";
        String[] keywords = SuggestUtil.parseQuery(query, field);
        assertNotNull(keywords);
        assertEquals(0, keywords.length); // Should return empty array
    }

    @Test
    public void testGetKeywords() {
        // Test normal query
        String query = "test AND query";
        String[] fields = { "content", "title" };

        String field = "content";
        String lang = "en";

        List<AnalyzeToken> tokens = analyzer.analyze(text, field, lang);

        assertNotNull(tokens);
        assertTrue(tokens.isEmpty());
    }

    @Test
    public void testAnalyzeWithNullText() {
        // Test analyze with null text
        String text = null;
        String field = "content";
        String lang = "en";

    }

    @Test
    public void testConvertWithNormalText() throws IOException {
        // Test convert with normal text
        converter.init();
        String text = "hello world";
        String field = "content";

        List<String> readings = converter.convert(text, field, "en");

        assertNotNull(readings);
        assertEquals(1, readings.size());
        assertEquals("HELLO WORLD", readings.get(0));
    }

 * This extractor can extract text content from files within LHA archives
 * by using appropriate extractors for each contained file type.
 *
 * @author shinsuke
 */
public class LhaExtractor extends AbstractExtractor {
    /** Logger for this class. */
    private static final Logger logger = LogManager.getLogger(LhaExtractor.class);

    /** Maximum content size for extraction. -1 means no limit. */

 * to process and analyze the input data.</p>
 *
 * <p>It also handles the exclusion of search words based on certain criteria and manages the
 * maximum length of analyzed content.</p>
 *
 * <p>Methods in this class may throw SuggesterException in case of failures during the parsing process.</p>
 *
 * <p>Usage example:</p>
 * <pre>
 * {@code

    }

    /**
     * Gets the extracted content.
     *
     * @return the extracted content
     */
    public String getContent() {
        return content;
    }

    /**
     * Sets the extracted content.
     *
     * @param content the content to set
     */
    public void setContent(final String content) {
        this.content = content;
    }

    /**

        Map<String, String> params = new HashMap<>();
        params.put("Content-Type", "text/plain");
        final ExtractData extractData = tikaExtractor.getText(in, params);
        final String content = extractData.getContent();
        CloseableUtil.closeQuietly(in);
        logger.info(content);
        assertTrue(content.contains("テスト"));
    }

    // TODO tika needs to support pdfbox 2.0
    //    public void test_getTika_pdf() {