var client_id = Date.now()
            document.querySelector("#ws-id").textContent = client_id;
            var ws = new WebSocket(`ws://localhost:8000/ws/${client_id}`);
            ws.onmessage = function(event) {
                var messages = document.getElementById('messages')
                var message = document.createElement('li')
                var content = document.createTextNode(event.data)

     *
     * @param builder
     *            {@link DocumentBuilder}; must not be {@literal null}.
     * @param is
     *            Input stream; must not be {@literal null}.
     * @return {@link Document}
     */
    public static Document parse(final DocumentBuilder builder, final InputStream is) {
        assertArgumentNotNull("builder", builder);
        assertArgumentNotNull("is", is);

        try {

    }

    /**
     * Deletes document-related suggest words.
     *
     * @return JSON response indicating success or failure
     */
    // DELETE /api/admin/suggest/document
    @Execute
    public JsonResponse<ApiResult> delete$document() {
        if (!suggestHelper.deleteDocumentWords()) {

        }
    }

    /**
     * Checks if a document exists in the OpenSearch index for the given session ID and URL.
     *
     * @param sessionId The session ID of the document.
     * @param url The URL of the document.
     * @return true if the document exists, false otherwise.
     * @throws OpenSearchAccessException if the existence check fails.
     */

     * Represents a field facet with its name and value counts.
     * Each field facet contains multiple values with their respective document counts.
     */
    public static class Field {
        /**
         * Map containing field values and their document counts.
         * Keys are field values as strings, values are document counts.
         */
        protected Map<String, Long> valueCountMap = new LinkedHashMap<>();

        /**

import org.lastaflute.web.util.LaRequestUtil;

import jakarta.servlet.http.HttpServletRequest;

/**
 * Utility class for document data manipulation and type conversion.
 * This class provides static methods for extracting typed values from document maps,
 * URL encoding, and other document-related operations. It's designed as a final
 * utility class with only static methods.
 *
 */
public final class DocumentUtil {

        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"));

    }

    /**
     * Deletes all document-based words from the suggest index.
     *
     * @return true if the operation was successful, false otherwise.
     */
    public boolean deleteDocumentWords() {
        final SuggestDeleteResponse response = suggester.indexer().deleteDocumentWords();
        if (response.hasError()) {
            logger.warn("Failed to delete document words.", response.getErrors().get(0));

---
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

///

/// info

Of course, the actual `Content-Type` header, status code, etc, will come from the `Response` object you returned.

///

### Document in OpenAPI and override `Response` { #document-in-openapi-and-override-response }