// Test putValue method
        ExtractData data = new ExtractData();

        data.putValue("title", "Test Title");
        data.putValue("author", "John Doe");

        String[] titleValues = data.getValues("title");
        assertNotNull(titleValues);
        assertEquals(1, titleValues.length);
        assertEquals("Test Title", titleValues[0]);

        String[] authorValues = data.getValues("author");

    }

    /**
     * Gets the title for this facet query view.
     *
     * @return the title string
     */
    public String getTitle() {
        return title;
    }

    /**
     * Sets the title for this facet query view.
     *
     * @param title the title to set
     */
    public void setTitle(final String title) {
        this.title = title;
    }

    /**

        assertNotNull(dataMap);
        assertEquals("Test Title", dataMap.get("title"));
    }

    public void test_getDataMap_multipleFields() throws Exception {
        // Test parsing multiple fields
        String xml = "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n" + "<doc>\n" + "  <field name=\"title\">Test Title</field>\n"

query.boost.fuzzy.min.length=4
# Boost value for fuzzy title queries.
query.boost.fuzzy.title=0.01
# Fuzziness for fuzzy title queries.
query.boost.fuzzy.title.fuzziness=AUTO
# Number of expansions for fuzzy title queries.
query.boost.fuzzy.title.expansions=10
# Prefix length for fuzzy title queries.
query.boost.fuzzy.title.prefix_length=0
# Whether to allow transpositions in fuzzy title queries.
query.boost.fuzzy.title.transpositions=true

{
  "title": "Sample Document",
  "author": "John Doe",
  "version": "1.0",
  "published": "2025-01-15",
  "tags": ["crawler", "extractor", "json"],
  "content": {
    "summary": "This is a sample JSON document for testing",
    "body": "The extractor should handle nested objects and arrays properly"
  },
  "metadata": {
    "created_at": "2025-01-01T00:00:00Z",
    "updated_at": "2025-01-15T12:00:00Z"
  }

     */
    public String getTitle(final ResponseData responseData, final String title, final Map<String, Object> dataMap) {
        if (title == null) {
            return StringUtil.EMPTY; // empty
        }

        final int[] spaceChars = getSpaceChars();
        try (final Reader reader = new StringReader(title)) {

        assertTrue(content.contains("title"));
        assertTrue(content.contains("Sample Document"));
        assertTrue(content.contains("author"));
        assertTrue(content.contains("John Doe"));

        // Verify metadata extraction
        assertNotNull(extractData.getValues("title"));
        assertEquals("Sample Document", extractData.getValues("title")[0]);
        assertNotNull(extractData.getValues("author"));

        CloseableUtil.closeQuietly(in);

        // Verify front matter metadata
        final String[] titles = extractData.getValues("frontmatter.title");
        assertNotNull(titles);
        assertEquals("Sample Markdown Document", titles[0]);

        final String[] authors = extractData.getValues("frontmatter.author");
        assertNotNull(authors);

---
title: Sample Markdown Document
author: John Doe
date: 2025-01-15
tags:
  - crawler
  - extractor
  - markdown
---

# Introduction

This is a sample Markdown document for testing the MarkdownExtractor.

## Features

The extractor should handle:

- YAML front matter extraction
- Heading structure
- **Bold text** and *italic text*
- Lists and other formatting

### Code Examples

    String JOB_TEMPLATE_TITLE_WEB = "job.template.title.web";

    /** The key of the configuration. e.g. File Crawler - {0} */
    String JOB_TEMPLATE_TITLE_FILE = "job.template.title.file";

    /** The key of the configuration. e.g. Data Crawler - {0} */
    String JOB_TEMPLATE_TITLE_DATA = "job.template.title.data";