A powerful Java library that provides intelligent search suggestion functionality built on top of OpenSearch/Elasticsearch. It offers auto-completion, query suggestions, and popular word analytics for search applications.

## Key Features

- **Smart Query Suggestions**: Real-time auto-completion and search suggestions
- **Multi-language Support**: Built-in support for Japanese text processing with Kuromoji analyzer

                .contentType("application/octet-stream")
                .build());
        minioClient.putObject(PutObjectArgs.builder()
                .bucket(bucketName)
                .object("dir1/file2.txt")
                .stream(new ByteArrayInputStream("file2".getBytes()), 5, -1)
                .contentType("application/octet-stream")
                .build());

        assertContentType("application/msword", "test/text1.txt", "hoge.doc");
        assertContentType("application/msword", "extractor/msoffice/test.doc", "hoge.doc");
        assertContentType("application/vnd.ms-excel", "test/text1.txt", "hoge.xls");
        assertContentType("application/vnd.ms-excel", "extractor/msoffice/test.xls", "hoge.xls");
        assertContentType("application/vnd.ms-powerpoint", "test/text1.txt", "hoge.ppt");

        assertEquals("ぶんるい", extractData.getValues("cp:category")[0]);
        assertEquals("1", extractData.getValues("meta:page-count")[0]);
        assertEquals("application/msword", extractData.getValues("Content-Type")[0]);
    }

    public void test_getTika_mswordx() {
        final InputStream in = ResourceUtil.getResourceAsStream("extractor/msoffice/test.docx");

container.singleton("tikaExtractor", TikaExtractor.class);
container.singleton("extractorFactory", ExtractorFactory.class, factory -> {
    factory.addExtractor("text/html", container.getComponent("tikaExtractor"));
    factory.addExtractor("application/pdf", container.getComponent("tikaExtractor"));
});

Crawler crawler = container.getComponent("crawler");
crawler.addUrl("https://example.com");
crawler.crawlerContext.setMaxAccessCount(500);

 * </p>
 *
 * <pre>
 * {@code
 * try (InputStream in = new FileInputStream("example.pdf")) {
 *     ExtractData extractData = new ExtractorBuilder(crawlerContainer, in, new HashMap<>())
 *         .mimeType("application/pdf")
 *         .filename("example.pdf")
 *         .maxContentLength(1024 * 1024)
 *         .extract();
 *
 *     String content = extractData.getContent();
 *     // Process the extracted content

        // MIME type doesn't match
        ResponseData responseData3 = new ResponseData();
        responseData3.setUrl("https://www.example.com/page");
        responseData3.setMimeType("application/json");
        responseData3.setHttpStatusCode(200);
        assertFalse(rule.match(responseData3));

        // Status code doesn't match
        ResponseData responseData4 = new ResponseData();

import jakarta.annotation.PreDestroy;
import jakarta.annotation.Resource;

/**
 * A container implementation that manages the lifecycle and dependency injection of components
 * in a crawler application. This container supports both singleton and prototype component
 * instantiation patterns.
 *
 * <p>The container provides mechanisms for:
 * <ul>
 *   <li>Registering and retrieving components by name</li>

     */
    protected boolean isHtml(final ResponseData responseData) {
        final String mimeType = responseData.getMimeType();
        if ("text/html".equals(mimeType) || "application/xhtml+xml".equals(mimeType)) {
            return true;
        }
        return false;
    }

    /**
     * Adds a rule for extracting child URLs from HTML tags.
     *