Interacciones WebMentions entre Sitios

// WebMentions Hello World - Basic Cross-Site Interactions
// Simple implementation for sending and receiving webmentions

class WebMentionsHelloWorld {
  constructor(websiteUrl) {
    this.websiteUrl = websiteUrl
    this.mentions = [] // In-memory storage (use database in production)
    this.sentMentions = new Map() // Track sent mentions
  }

  // Discover WebMention endpoint for a URL
  async discoverWebMentionEndpoint(targetUrl) {
    try {
      // Fetch the target URL
      const response = await fetch(targetUrl, {
        method: 'GET',
        headers: {
          'Accept': 'text/html,application/xhtml+xml'
        }
      })

      if (!response.ok) {
        throw new Error(`HTTP ${response.status}: ${response.statusText}`)
      }

      const html = await response.text()

      // Parse HTML to find WebMention endpoint
      const parser = new DOMParser()
      const doc = parser.parseFromString(html, 'text/html')

      // Check for <link> tags with rel="webmention"
      const linkTags = doc.querySelectorAll('link[rel~="webmention"]')
      if (linkTags.length > 0) {
        return linkTags[0].getAttribute('href')
      }

      // Check for <a> tags with rel="webmention"
      const anchorTags = doc.querySelectorAll('a[rel~="webmention"]')
      if (anchorTags.length > 0) {
        return anchorTags[0].getAttribute('href')
      }

      // Check HTTP Link header
      const linkHeader = response.headers.get('Link')
      if (linkHeader) {
        const links = this.parseLinkHeader(linkHeader)
        const webmentionLink = links.find(link => link.rel.includes('webmention'))
        if (webmentionLink) {
          return webmentionLink.href
        }
      }

      return null

    } catch (error) {
      console.error('Error discovering WebMention endpoint:', error)
      return null
    }
  }

  // Parse HTTP Link header
  parseLinkHeader(linkHeader) {
    const links = []
    const parts = linkHeader.split(',')

    for (const part of parts) {
      const match = part.match(/<([^>]+)>\s*;\s*rel="([^"]+)"/)
      if (match) {
        links.push({
          href: match[1],
          rel: match[2].split(/\s+/)
        })
      }
    }

    return links
  }

  // Send a WebMention
  async sendWebMention(sourceUrl, targetUrl) {
    try {
      console.log(`Sending WebMention from ${sourceUrl} to ${targetUrl}`)

      // Discover the WebMention endpoint
      const endpoint = await this.discoverWebMentionEndpoint(targetUrl)
      if (!endpoint) {
        throw new Error('No WebMention endpoint found for target URL')
      }

      // Make the WebMention request
      const formData = new FormData()
      formData.append('source', sourceUrl)
      formData.append('target', targetUrl)

      const response = await fetch(endpoint, {
        method: 'POST',
        body: formData,
        headers: {
          'Accept': 'application/json'
        }
      })

      const result = await response.json()

      if (response.ok && result.status === 'accepted') {
        // Store sent mention
        this.sentMentions.set(`${sourceUrl}:${targetUrl}`, {
          source: sourceUrl,
          target: targetUrl,
          endpoint: endpoint,
          status: 'accepted',
          sentAt: new Date(),
          response: result
        })

        console.log('WebMention sent successfully:', result)
        return {
          success: true,
          status: result.status,
          message: result.message || 'WebMention accepted'
        }
      } else {
        throw new Error(result.message || 'WebMention rejected')
      }

    } catch (error) {
      console.error('Error sending WebMention:', error)
      return {
        success: false,
        error: error.message
      }
    }
  }

  // Receive and verify a WebMention
  async receiveWebMention(sourceUrl, targetUrl) {
    try {
      console.log(`Processing WebMention from ${sourceUrl} to ${targetUrl}`)

      // Verify the source actually mentions the target
      const mentionsTarget = await this.verifyMention(sourceUrl, targetUrl)
      if (!mentionsTarget) {
        throw new Error('Source does not mention target URL')
      }

      // Extract content from source
      const content = await this.extractContent(sourceUrl)

      // Create mention object
      const mention = {
        id: this.generateMentionId(),
        source: sourceUrl,
        target: targetUrl,
        content: content,
        author: content.author || 'Anonymous',
        published: content.published || new Date().toISOString(),
        receivedAt: new Date(),
        verified: true,
        approved: this.shouldAutoApprove(content)
      }

      // Store the mention
      this.mentions.push(mention)

      console.log('WebMention received and processed:', mention)
      return {
        success: true,
        mention: mention
      }

    } catch (error) {
      console.error('Error processing WebMention:', error)
      return {
        success: false,
        error: error.message
      }
    }
  }

  // Verify that source URL actually mentions target URL
  async verifyMention(sourceUrl, targetUrl) {
    try {
      const response = await fetch(sourceUrl, {
        method: 'GET',
        headers: {
          'Accept': 'text/html,application/xhtml+xml'
        }
      })

      if (!response.ok) {
        throw new Error(`HTTP ${response.status}: ${response.statusText}`)
      }

      const html = await response.text()
      const parser = new DOMParser()
      const doc = parser.parseFromString(html, 'text/html')

      // Check for links to target URL
      const links = doc.querySelectorAll(`a[href="${targetUrl}"], a[href="${targetUrl}/"]`)
      if (links.length > 0) {
        return true
      }

      // Check for text mentions of the URL
      const textContent = doc.body.textContent || ''
      return textContent.includes(targetUrl) || textContent.includes(targetUrl.replace(/^https?:\/\//, ''))

    } catch (error) {
      console.error('Error verifying mention:', error)
      return false
    }
  }

  // Extract structured content from source URL
  async extractContent(sourceUrl) {
    try {
      const response = await fetch(sourceUrl, {
        method: 'GET',
        headers: {
          'Accept': 'text/html,application/xhtml+xml'
        }
      })

      const html = await response.text()
      const parser = new DOMParser()
      const doc = parser.parseFromString(html, 'text/html')

      // Try to extract structured data (microformats2, schema.org, etc.)
      const content = {
        title: this.extractTitle(doc),
        author: this.extractAuthor(doc),
        published: this.extractPublished(doc),
        content: this.extractContentText(doc),
        url: sourceUrl
      }

      return content

    } catch (error) {
      console.error('Error extracting content:', error)
      return {
        title: 'Unknown',
        author: 'Anonymous',
        published: new Date().toISOString(),
        content: 'Failed to extract content',
        url: sourceUrl
      }
    }
  }

  extractTitle(doc) {
    // Try various title selectors
    const selectors = [
      'meta[property="og:title"]',
      'meta[name="twitter:title"]',
      '.p-name', // microformats2
      'title',
      'h1'
    ]

    for (const selector of selectors) {
      const element = doc.querySelector(selector)
      if (element) {
        const content = element.getAttribute('content') || element.textContent
        if (content) return content.trim()
      }
    }

    return 'Untitled'
  }

  extractAuthor(doc) {
    // Try various author selectors
    const selectors = [
      '.p-author .p-name', // microformats2
      'meta[property="article:author"]',
      'meta[name="author"]',
      '.author',
      '[rel="author"]'
    ]

    for (const selector of selectors) {
      const element = doc.querySelector(selector)
      if (element) {
        const content = element.getAttribute('content') || element.textContent
        if (content) return content.trim()
      }
    }

    return null
  }

  extractPublished(doc) {
    // Try various date selectors
    const selectors = [
      '.dt-published', // microformats2
      'meta[property="article:published_time"]',
      'meta[name="date"]',
      'time[datetime]'
    ]

    for (const selector of selectors) {
      const element = doc.querySelector(selector)
      if (element) {
        const content = element.getAttribute('content') || element.getAttribute('datetime') || element.textContent
        if (content) return content.trim()
      }
    }

    return new Date().toISOString()
  }

  extractContentText(doc) {
    // Try to find the main content
    const selectors = [
      '.e-content', // microformats2
      'meta[property="og:description"]',
      'meta[name="description"]',
      'article',
      'main'
    ]

    for (const selector of selectors) {
      const element = doc.querySelector(selector)
      if (element) {
        const content = element.getAttribute('content') || element.textContent
        if (content) {
          const text = content.trim()
          // Return first 200 characters
          return text.length > 200 ? text.substring(0, 200) + '...' : text
        }
      }
    }

    // Fallback to body text
    const bodyText = doc.body.textContent || ''
    return bodyText.trim().substring(0, 200) + '...'
  }

  // Auto-approval logic
  shouldAutoApprove(content) {
    // Simple auto-approval rules
    const suspiciousWords = ['spam', 'casino', 'viagra', 'lottery']
    const contentLower = content.content.toLowerCase()

    return !suspiciousWords.some(word => contentLower.includes(word))
  }

  // Generate unique mention ID
  generateMentionId() {
    return 'wm_' + Date.now() + '_' + Math.random().toString(36).substr(2, 9)
  }

  // Get all mentions for a target URL
  getMentions(targetUrl, options = {}) {
    const {
      approved = true,
      limit = null,
      offset = 0
    } = options

    let mentions = this.mentions.filter(mention => mention.target === targetUrl)

    if (approved !== null) {
      mentions = mentions.filter(mention => mention.approved === approved)
    }

    // Sort by received date (newest first)
    mentions.sort((a, b) => new Date(b.receivedAt) - new Date(a.receivedAt))

    // Apply pagination
    if (limit) {
      mentions = mentions.slice(offset, offset + limit)
    }

    return mentions
  }

  // Get mentions statistics
  getMentionStats() {
    return {
      total: this.mentions.length,
      approved: this.mentions.filter(m => m.approved).length,
      pending: this.mentions.filter(m => !m.approved).length,
      sent: this.sentMentions.size,
      byTarget: this.groupMentionsByTarget()
    }
  }

  groupMentionsByTarget() {
    const grouped = {}
    for (const mention of this.mentions) {
      if (!grouped[mention.target]) {
        grouped[mention.target] = []
      }
      grouped[mention.target].push(mention)
    }
    return grouped
  }
}

// Example HTML structure with WebMention support
// <!DOCTYPE html>
// <html lang="en">
// <head>
//   <meta charset="UTF-8">
//   <meta name="viewport" content="width=device-width, initial-scale=1.0">
//   <title>My Blog Post</title>
//   <!-- WebMention endpoint declaration -->
//   <link rel="webmention" href="https://myblog.com/webmention">
//
//   <!-- Open Graph and other meta tags -->
//   <meta property="og:title" content="My Blog Post">
//   <meta property="og:description" content="An interesting blog post about WebMentions">
// </head>
// <body>
//   <article class="h-entry">
//     <header>
//       <h1 class="p-name">My Blog Post</h1>
//       <p class="p-author h-card">
//         By <span class="p-name">John Doe</span>
//       </p>
//       <time class="dt-published" datetime="2024-01-15T10:00:00Z">
//         January 15, 2024
//       </time>
//     </header>
//
//     <div class="e-content">
//       <p>This is an interesting blog post about WebMentions.
//       You can link to it from your own blog, and I'll receive a notification.</p>
//
//       <p>Check out this related post: <a href="https://example.com/related-post">Related Post</a></p>
//     </div>
//   </article>
//
//   <!-- WebMentions section -->
//   <section class="webmentions">
//     <h2>WebMentions</h2>
//     <div id="webmentions-list">
//       <!-- Mentions will be loaded here -->
//     </div>
//   </section>
//
//   <script src="webmentions.js"></script>
//   <script>
//     // Initialize WebMentions
//     const webmentions = new WebMentionsHelloWorld('https://myblog.com');
//
//     // Load mentions for current page
//     async function loadMentions() {
//       const currentUrl = window.location.href;
//       const mentions = webmentions.getMentions(currentUrl);
//
//       displayMentions(mentions);
//     }
//
//     function displayMentions(mentions) {
//       const container = document.getElementById('webmentions-list');
//
//       if (mentions.length === 0) {
//         container.innerHTML = '<p>No WebMentions yet.</p>';
//         return;
//       }
//
//       container.innerHTML = mentions.map(mention => `
//         <article class="webmention" data-id="${mention.id}">
//           <div class="webmention-header">
//             <strong>${mention.author}</strong>
//             <span class="webmention-date">
//               ${new Date(mention.receivedAt).toLocaleDateString()}
//             </span>
//           </div>
//           <div class="webmention-content">
//             <p>${mention.content}</p>
//           </div>
//           <div class="webmention-source">
//             <a href="${mention.source}" target="_blank" rel="noopener">
//               View original
//             </a>
//           </div>
//         </article>
//       `).join('');
//     }
//
//     // Send a WebMention (example)
//     async function sendWebMention(sourceUrl, targetUrl) {
//       const result = await webmentions.sendWebMention(sourceUrl, targetUrl);
//
//       if (result.success) {
//         alert('WebMention sent successfully!');
//       } else {
//         alert('Error sending WebMention: ' + result.error);
//       }
//     }
//
//     // Load mentions when page loads
//     document.addEventListener('DOMContentLoaded', loadMentions);
//   </script>
// </body>
// </html>

// Server-side WebMention endpoint example (Node.js/Express)
/*
const express = require('express');
const bodyParser = require('body-parser');
const { URL } = require('url');

const app = express();
app.use(bodyParser.urlencoded({ extended: true }));

// WebMention endpoint
app.post('/webmention', async (req, res) => {
  try {
    const { source, target } = req.body;

    if (!source || !target) {
      return res.status(400).json({
        error: 'Missing source or target URL'
      });
    }

    // Verify URLs
    try {
      new URL(source);
      new URL(target);
    } catch (e) {
      return res.status(400).json({
        error: 'Invalid source or target URL'
      });
    }

    // Process the WebMention
    const result = await processWebMention(source, target);

    if (result.success) {
      res.status(200).json({
        status: 'accepted',
        message: 'WebMention accepted'
      });
    } else {
      res.status(400).json({
        error: result.error
      });
    }

  } catch (error) {
    console.error('WebMention processing error:', error);
    res.status(500).json({
      error: 'Internal server error'
    });
  }
});

async function processWebMention(source, target) {
  // Verify that source mentions target
  const sourceContent = await fetch(source);
  const sourceText = await sourceContent.text();

  if (!sourceText.includes(target)) {
    return { success: false, error: 'Source does not mention target' };
  }

  // Store the WebMention (in a real app, save to database)
  console.log(`WebMention received: ${source} -> ${target}`);

  return { success: true };
}

app.listen(3000, () => {
  console.log('WebMention server running on port 3000');
});
*/

// Usage example:
// const webmentions = new WebMentionsHelloWorld('https://myblog.com')
//
// // Send a WebMention
// webmentions.sendWebMention(
//   'https://myblog.com/reply-to-post',
//   'https://otherblog.com/original-post'
// )
//
// // Get mentions for a page
// const mentions = webmentions.getMentions('https://myblog.com/my-post')
// console.log('Mentions:', mentions)

export default WebMentionsHelloWorld

// Advanced WebMentions Comment System
// Rich content support, moderation, spam filtering, and engagement tracking

interface WebMention {
  id: string
  source: string
  target: string
  content: WebMentionContent
  author: WebMentionAuthor
  published: string
  receivedAt: Date
  verified: boolean
  approved: boolean
  spamScore: number
  moderationStatus: 'pending' | 'approved' | 'rejected' | 'spam'
  replies: string[]
  reactions: {
    likes: number
    reposts: number
    replies: number
  }
  metadata: {
    fetchDate?: Date
    lastChecked?: Date
    checkCount: number
  }
}

interface WebMentionContent {
  title: string
  text: string
  html?: string
  excerpt: string
  url: string
  published?: string
  type: 'post' | 'reply' | 'like' | 'repost' | 'mention'
  images?: string[]
  videos?: string[]
  language?: string
}

interface WebMentionAuthor {
  name: string
  url?: string
  photo?: string
  email?: string
  social?: {
    twitter?: string
    mastodon?: string
    github?: string
  }
}

interface ModerationRule {
  id: string
  name: string
  type: 'spam' | 'approval' | 'rejection'
  conditions: {
    keywords?: string[]
    minLength?: number
    maxLength?: number
    allowedDomains?: string[]
    blockedDomains?: string[]
    requireHttps?: boolean
    requireName?: boolean
  }
  actions: {
    autoApprove?: boolean
    autoReject?: boolean
    markSpam?: boolean
    requireModeration?: boolean
  }
}

class WebMentionsCommentSystem {
  private mentions: Map<string, WebMention> = new Map()
  private moderationRules: ModerationRule[] = []
  private spamFilters: SpamFilter[] = []
  private contentParsers: ContentParser[] = []

  constructor(
    private websiteUrl: string,
    private options: {
      autoApprove?: boolean
      enableSpamFilter?: boolean
      enableRichContent?: boolean
      moderationRules?: ModerationRule[]
    } = {}
  ) {
    this.setupDefaultModerationRules()
    this.setupDefaultSpamFilters()
    this.setupDefaultContentParsers()
  }

  // Process incoming WebMention
  async processWebMention(sourceUrl: string, targetUrl: string): Promise<{
    success: boolean
    mention?: WebMention
    error?: string
    status?: string
  }> {
    try {
      console.log(`Processing WebMention: ${sourceUrl} -> ${targetUrl}`)

      // Generate unique ID
      const mentionId = this.generateMentionId(sourceUrl, targetUrl)

      // Check if mention already exists
      if (this.mentions.has(mentionId)) {
        return {
          success: false,
          error: 'WebMention already processed',
          status: 'duplicate'
        }
      }

      // Verify the mention
      const verificationResult = await this.verifyWebMention(sourceUrl, targetUrl)
      if (!verificationResult.valid) {
        return {
          success: false,
          error: verificationResult.error || 'Invalid WebMention',
          status: 'invalid'
        }
      }

      // Extract content
      const content = await this.extractWebMentionContent(sourceUrl)

      // Parse content type
      const mentionType = this.detectMentionType(content, sourceUrl, targetUrl)

      // Extract author information
      const author = await this.extractAuthorInfo(sourceUrl)

      // Create mention object
      const mention: WebMention = {
        id: mentionId,
        source: sourceUrl,
        target: targetUrl,
        content: {
          ...content,
          type: mentionType
        },
        author,
        published: content.published || new Date().toISOString(),
        receivedAt: new Date(),
        verified: true,
        approved: false,
        spamScore: 0,
        moderationStatus: 'pending',
        replies: [],
        reactions: {
          likes: 0,
          reposts: 0,
          replies: 0
        },
        metadata: {
          fetchDate: new Date(),
          checkCount: 1
        }
      }

      // Apply spam filtering
      if (this.options.enableSpamFilter) {
        mention.spamScore = await this.calculateSpamScore(mention)
        mention.moderationStatus = this.determineModerationStatus(mention)
      }

      // Apply moderation rules
      this.applyModerationRules(mention)

      // Auto-approve if enabled and no spam detected
      if (this.options.autoApprove && mention.spamScore < 50 && mention.moderationStatus === 'pending') {
        mention.approved = true
        mention.moderationStatus = 'approved'
      }

      // Store mention
      this.mentions.set(mentionId, mention)

      console.log(`WebMention processed successfully: ${mentionId}`)
      return {
        success: true,
        mention,
        status: mention.moderationStatus
      }

    } catch (error) {
      console.error('Error processing WebMention:', error)
      return {
        success: false,
        error: error.message,
        status: 'error'
      }
    }
  }

  // Verify WebMention
  private async verifyWebMention(sourceUrl: string, targetUrl: string): Promise<{
    valid: boolean
    error?: string
  }> {
    try {
      // Validate URLs
      const source = new URL(sourceUrl)
      const target = new URL(targetUrl)

      // Check if target belongs to our website
      if (!target.origin.includes(new URL(this.websiteUrl).origin)) {
        return {
          valid: false,
          error: 'Target URL does not belong to this website'
        }
      }

      // Fetch source content
      const response = await fetch(sourceUrl, {
        method: 'GET',
        headers: {
          'Accept': 'text/html,application/xhtml+xml',
          'User-Agent': 'WebMentions-Comment-System/1.0'
        }
      })

      if (!response.ok) {
        return {
          valid: false,
          error: `HTTP ${response.status}: ${response.statusText}`
        }
      }

      const html = await response.text()

      // Verify that source mentions target
      const mentionsTarget = this.checkForMention(html, targetUrl)
      if (!mentionsTarget) {
        return {
          valid: false,
          error: 'Source does not mention target URL'
        }
      }

      // Additional verification checks
      const verificationResults = await Promise.all([
        this.checkSourceReputation(sourceUrl),
        this.validateContent(html),
        this.checkRateLimit(sourceUrl)
      ])

      const hasInvalidResult = verificationResults.some(result => !result.valid)
      if (hasInvalidResult) {
        const invalidResult = verificationResults.find(result => !result.valid)
        return {
          valid: false,
          error: invalidResult.error
        }
      }

      return { valid: true }

    } catch (error) {
      return {
        valid: false,
        error: error.message
      }
    }
  }

  // Check if source mentions target
  private checkForMention(html: string, targetUrl: string): boolean {
    const parser = new DOMParser()
    const doc = parser.parseFromString(html, 'text/html')

    // Check for direct links
    const links = doc.querySelectorAll(`a[href="${targetUrl}"], a[href="${targetUrl}/"]`)
    if (links.length > 0) return true

    // Check for URL in text content
    const textContent = doc.body.textContent || ''
    if (textContent.includes(targetUrl)) return true

    // Check for URL without protocol
    const targetWithoutProtocol = targetUrl.replace(/^https?:\/\//, '')
    if (textContent.includes(targetWithoutProtocol)) return true

    return false
  }

  // Extract content from source
  private async extractWebMentionContent(sourceUrl: string): Promise<WebMentionContent> {
    try {
      const response = await fetch(sourceUrl, {
        method: 'GET',
        headers: {
          'Accept': 'text/html,application/xhtml+xml'
        }
      })

      const html = await response.text()
      const parser = new DOMParser()
      const doc = parser.parseFromString(html, 'text/html')

      // Extract structured data using various parsers
      let content: WebMentionContent = {
        title: '',
        text: '',
        excerpt: '',
        url: sourceUrl,
        type: 'mention',
        language: doc.documentElement.getAttribute('lang') || 'en'
      }

      for (const parser of this.contentParsers) {
        try {
          const parsed = await parser.parse(doc, sourceUrl)
          if (parsed) {
            content = { ...content, ...parsed }
            break // Use first successful parser
          }
        } catch (error) {
          console.warn('Content parser failed:', error)
        }
      }

      // Fallback extraction
      if (!content.title || !content.text) {
        content.title = content.title || this.extractTitle(doc)
        content.text = content.text || this.extractText(doc)
        content.excerpt = this.createExcerpt(content.text)
      }

      return content

    } catch (error) {
      console.error('Error extracting content:', error)
      return {
        title: 'Unknown',
        text: 'Failed to extract content',
        excerpt: 'Failed to extract content',
        url: sourceUrl,
        type: 'mention'
      }
    }
  }

  // Extract author information
  private async extractAuthorInfo(sourceUrl: string): Promise<WebMentionAuthor> {
    try {
      const response = await fetch(sourceUrl)
      const html = await response.text()
      const parser = new DOMParser()
      const doc = parser.parseFromString(html, 'text/html')

      const author: WebMentionAuthor = {
        name: 'Anonymous'
      }

      // Try microformats2 first
      const authorCard = doc.querySelector('.h-card')
      if (authorCard) {
        author.name = this.getTextFromSelector(authorCard, '.p-name') || author.name
        author.url = this.getAttrFromSelector(authorCard, '.u-url') || author.url
        author.photo = this.getAttrFromSelector(authorCard, '.u-photo') || author.photo
        author.email = this.getTextFromSelector(authorCard, '.u-email') || author.email
      }

      // Fallback to other meta tags
      if (!author.name) {
        author.name = this.getMetaContent(doc, 'author') ||
                    this.getMetaContent(doc, 'article:author') ||
                    'Anonymous'
      }

      // Extract social profiles
      author.social = {
        twitter: this.extractSocialProfile(doc, 'twitter'),
        mastodon: this.extractSocialProfile(doc, 'mastodon'),
        github: this.extractSocialProfile(doc, 'github')
      }

      return author

    } catch (error) {
      console.error('Error extracting author:', error)
      return { name: 'Anonymous' }
    }
  }

  // Detect mention type
  private detectMentionType(content: WebMentionContent, sourceUrl: string, targetUrl: string): WebMentionContent['type'] {
    // Check for in-reply-to relationship
    if (content.text.toLowerCase().includes('reply') ||
        content.text.toLowerCase().includes('re:') ||
        this.isReplyTo(sourceUrl, targetUrl)) {
      return 'reply'
    }

    // Check for like/repost indicators
    if (content.text.toLowerCase().includes('like') ||
        content.text.toLowerCase().includes('❤️') ||
        content.text.toLowerCase().includes('👍')) {
      return 'like'
    }

    if (content.text.toLowerCase().includes('repost') ||
        content.text.toLowerCase().includes('🔄')) {
      return 'repost'
    }

    // Default to post/mention
    return content.text.length > 200 ? 'post' : 'mention'
  }

  // Calculate spam score
  private async calculateSpamScore(mention: WebMention): Promise<number> {
    let spamScore = 0

    for (const filter of this.spamFilters) {
      try {
        const score = await filter.analyze(mention)
        spamScore += score
      } catch (error) {
        console.warn('Spam filter failed:', error)
      }
    }

    return Math.min(100, Math.max(0, spamScore))
  }

  // Determine moderation status
  private determineModerationStatus(mention: WebMention): WebMention['moderationStatus'] {
    if (mention.spamScore >= 80) {
      return 'spam'
    } else if (mention.spamScore >= 60) {
      return 'rejected'
    } else if (mention.spamScore >= 30) {
      return 'pending'
    } else {
      return 'approved'
    }
  }

  // Apply moderation rules
  private applyModerationRules(mention: WebMention): void {
    for (const rule of this.moderationRules) {
      if (this.evaluateRule(rule, mention)) {
        // Apply rule actions
        if (rule.actions.autoApprove) {
          mention.approved = true
          mention.moderationStatus = 'approved'
        }
        if (rule.actions.autoReject) {
          mention.approved = false
          mention.moderationStatus = 'rejected'
        }
        if (rule.actions.markSpam) {
          mention.spamScore = 100
          mention.moderationStatus = 'spam'
        }
      }
    }
  }

  // Evaluate moderation rule
  private evaluateRule(rule: ModerationRule, mention: WebMention): boolean {
    const conditions = rule.conditions

    // Check keywords
    if (conditions.keywords) {
      const content = mention.content.text.toLowerCase()
      const hasKeywords = conditions.keywords.some(keyword =>
        content.includes(keyword.toLowerCase())
      )
      if (hasKeywords) return true
    }

    // Check content length
    if (conditions.minLength && mention.content.text.length < conditions.minLength) {
      return true
    }
    if (conditions.maxLength && mention.content.text.length > conditions.maxLength) {
      return true
    }

    // Check domain restrictions
    try {
      const sourceDomain = new URL(mention.source).hostname

      if (conditions.allowedDomains && !conditions.allowedDomains.includes(sourceDomain)) {
        return true
      }
      if (conditions.blockedDomains && conditions.blockedDomains.includes(sourceDomain)) {
        return true
      }

      if (conditions.requireHttps && !mention.source.startsWith('https://')) {
        return true
      }
    } catch (error) {
      return true // Invalid URL
    }

    // Check author requirements
    if (conditions.requireName && (!mention.author.name || mention.author.name === 'Anonymous')) {
      return true
    }

    return false
  }

  // Get mentions for target
  getMentions(targetUrl: string, options: {
    approved?: boolean
    type?: WebMentionContent['type']
    limit?: number
    offset?: number
    sortBy?: 'date' | 'relevance'
    sortOrder?: 'asc' | 'desc'
  } = {}): WebMention[] {
    let mentions = Array.from(this.mentions.values())
      .filter(mention => mention.target === targetUrl)

    // Apply filters
    if (options.approved !== undefined) {
      mentions = mentions.filter(mention => mention.approved === options.approved)
    }
    if (options.type) {
      mentions = mentions.filter(mention => mention.content.type === options.type)
    }

    // Sort
    const sortBy = options.sortBy || 'date'
    const sortOrder = options.sortOrder || 'desc'

    mentions.sort((a, b) => {
      let comparison = 0

      if (sortBy === 'date') {
        comparison = new Date(a.receivedAt).getTime() - new Date(b.receivedAt).getTime()
      } else if (sortBy === 'relevance') {
        // Simple relevance scoring based on content type and reactions
        const scoreA = this.calculateRelevanceScore(a)
        const scoreB = this.calculateRelevanceScore(b)
        comparison = scoreA - scoreB
      }

      return sortOrder === 'desc' ? -comparison : comparison
    })

    // Apply pagination
    if (options.offset) {
      mentions = mentions.slice(options.offset)
    }
    if (options.limit) {
      mentions = mentions.slice(0, options.limit)
    }

    return mentions
  }

  // Get mention statistics
  getMentionStats(targetUrl: string) {
    const mentions = this.getMentions(targetUrl)
    const approved = this.getMentions(targetUrl, { approved: true })
    const pending = this.getMentions(targetUrl, { approved: false })

    const stats = {
      total: mentions.length,
      approved: approved.length,
      pending: pending.length,
      spam: mentions.filter(m => m.moderationStatus === 'spam').length,
      rejected: mentions.filter(m => m.moderationStatus === 'rejected').length,
      byType: this.groupByType(mentions),
      byDate: this.groupByDate(mentions),
      averageSpamScore: mentions.length > 0 ?
        mentions.reduce((sum, m) => sum + m.spamScore, 0) / mentions.length : 0
    }

    return stats
  }

  // Utility methods
  private generateMentionId(source: string, target: string): string {
    return btoa(`${source}|${target}`).replace(/[+/=]/g, '').substring(0, 16)
  }

  private createExcerpt(text: string, length: number = 200): string {
    const cleaned = text.replace(/<[^>]*>/g, '').trim()
    return cleaned.length > length ? cleaned.substring(0, length) + '...' : cleaned
  }

  private extractTitle(doc: Document): string {
    const selectors = ['meta[property="og:title"]', 'title', 'h1']
    for (const selector of selectors) {
      const element = doc.querySelector(selector)
      if (element) {
        const content = element.getAttribute('content') || element.textContent
        if (content) return content.trim()
      }
    }
    return 'Untitled'
  }

  private extractText(doc: Document): string {
    const selectors = [
      '.e-content',
      'article',
      'main',
      '[role="main"]',
      'body'
    ]
    for (const selector of selectors) {
      const element = doc.querySelector(selector)
      if (element) {
        return element.textContent || ''
      }
    }
    return ''
  }

  private getTextFromSelector(element: Element, selector: string): string | null {
    const el = element.querySelector(selector)
    return el ? el.textContent?.trim() || null : null
  }

  private getAttrFromSelector(element: Element, selector: string): string | null {
    const el = element.querySelector(selector)
    return el ? el.getAttribute('href') || el.getAttribute('src') : null
  }

  private getMetaContent(doc: Document, name: string): string | null {
    const selector = `meta[name="${name}"], meta[property="${name}"]`
    const element = doc.querySelector(selector)
    return element ? element.getAttribute('content') : null
  }

  private extractSocialProfile(doc: Document, platform: string): string | null {
    const selectors = [
      `a[href*="${platform}.com"]`,
      `a[href*="${platform}.org"]`,
      `[rel="me"][href*="${platform}"]`
    ]
    for (const selector of selectors) {
      const element = doc.querySelector(selector)
      if (element) {
        return element.getAttribute('href')
      }
    }
    return null
  }

  private calculateRelevanceScore(mention: WebMention): number {
    let score = 0

    // Content type scoring
    const typeScores = { reply: 10, post: 8, like: 3, repost: 5, mention: 2 }
    score += typeScores[mention.content.type] || 0

    // Reaction scoring
    score += mention.reactions.likes * 2
    score += mention.reactions.reposts * 3
    score += mention.reactions.replies * 4

    // Content quality scoring
    if (mention.content.text.length > 100) score += 2
    if (mention.author.name !== 'Anonymous') score += 1
    if (mention.author.photo) score += 1

    return score
  }

  private groupByType(mentions: WebMention[]): Record<string, number> {
    return mentions.reduce((groups, mention) => {
      const type = mention.content.type
      groups[type] = (groups[type] || 0) + 1
      return groups
    }, {} as Record<string, number>)
  }

  private groupByDate(mentions: WebMention[]): Record<string, number> {
    return mentions.reduce((groups, mention) => {
      const date = new Date(mention.receivedAt).toISOString().split('T')[0]
      groups[date] = (groups[date] || 0) + 1
      return groups
    }, {} as Record<string, number>)
  }

  // Setup default configurations
  private setupDefaultModerationRules(): void {
    this.moderationRules = [
      {
        id: 'short-content',
        name: 'Reject very short content',
        type: 'rejection',
        conditions: {
          minLength: 10
        },
        actions: {
          autoReject: true
        }
      },
      {
        id: 'spam-keywords',
        name: 'Block spam keywords',
        type: 'spam',
        conditions: {
          keywords: ['viagra', 'casino', 'lottery', 'spam', 'buy now']
        },
        actions: {
          markSpam: true
        }
      },
      {
        id: 'require-https',
        name: 'Require HTTPS sources',
        type: 'rejection',
        conditions: {
          requireHttps: true
        },
        actions: {
          requireModeration: true
        }
      }
    ]
  }

  private setupDefaultSpamFilters(): void {
    this.spamFilters = [
      new KeywordSpamFilter(),
      new LinkSpamFilter(),
      new RepeatedContentFilter(),
      new LanguageFilter()
    ]
  }

  private setupDefaultContentParsers(): void {
    this.contentParsers = [
      new MicroformatsParser(),
      new OpenGraphParser(),
      new JSONLDParser(),
      new TwitterCardParser()
    ]
  }

  // Additional verification methods
  private async checkSourceReputation(sourceUrl: string): Promise<{ valid: boolean; error?: string }> {
    // Implement source reputation checking
    return { valid: true }
  }

  private async validateContent(html: string): Promise<{ valid: boolean; error?: string }> {
    // Implement content validation
    return { valid: true }
  }

  private async checkRateLimit(sourceUrl: string): Promise<{ valid: boolean; error?: string }> {
    // Implement rate limiting
    return { valid: true }
  }

  private isReplyTo(sourceUrl: string, targetUrl: string): boolean {
    // Check if source is a reply to target
    return sourceUrl.includes('/reply/') || sourceUrl.includes('?in-reply-to=')
  }
}

// Supporting classes
class SpamFilter {
  async analyze(mention: WebMention): Promise<number> {
    return 0
  }
}

class KeywordSpamFilter extends SpamFilter {
  private spamKeywords = [
    'click here', 'buy now', 'free money', 'make money fast',
    'viagra', 'casino', 'lottery', 'winner', 'congratulations'
  ]

  async analyze(mention: WebMention): Promise<number> {
    const text = mention.content.text.toLowerCase()
    let score = 0

    for (const keyword of this.spamKeywords) {
      if (text.includes(keyword)) {
        score += 20
      }
    }

    return score
  }
}

class LinkSpamFilter extends SpamFilter {
  async analyze(mention: WebMention): Promise<number> {
    const linkRegex = /https?:\/\/[^\s]+/g
    const links = mention.content.text.match(linkRegex) || []

    if (links.length > 5) return 30
    if (links.length > 3) return 15

    return 0
  }
}

class RepeatedContentFilter extends SpamFilter {
  async analyze(mention: WebMention): Promise<number> {
    // Check for repeated characters or suspicious patterns
    const repeatedChars = /(.)\1{4,}/.test(mention.content.text)
    if (repeatedChars) return 25

    const excessiveCaps = (mention.content.text.match(/[A-Z]/g) || []).length / mention.content.text.length
    if (excessiveCaps > 0.5) return 20

    return 0
  }
}

class LanguageFilter extends SpamFilter {
  async analyze(mention: WebMention): Promise<number> {
    // Check for language mismatches or suspicious text
    const suspiciousWords = ['asdf', 'qwerty', 'test', 'demo']
    const text = mention.content.text.toLowerCase()

    for (const word of suspiciousWords) {
      if (text.includes(word)) {
        return 15
      }
    }

    return 0
  }
}

class ContentParser {
  async parse(doc: Document, sourceUrl: string): Promise<Partial<WebMentionContent>> {
    return {}
  }
}

class MicroformatsParser extends ContentParser {
  async parse(doc: Document, sourceUrl: string): Promise<Partial<WebMentionContent>> {
    const hEntry = doc.querySelector('.h-entry')
    if (!hEntry) return {}

    const content: Partial<WebMentionContent> = {
      title: this.getText(hEntry, '.p-name'),
      text: this.getText(hEntry, '.e-content'),
      url: this.getAttr(hEntry, '.u-url') || sourceUrl
    }

    const published = this.getAttr(hEntry, '.dt-published')
    if (published) {
      content.published = published
    }

    return content
  }

  private getText(element: Element, selector: string): string {
    const el = element.querySelector(selector)
    return el ? el.textContent?.trim() || '' : ''
  }

  private getAttr(element: Element, selector: string): string {
    const el = element.querySelector(selector)
    return el ? (el.getAttribute('href') || el.getAttribute('datetime') || '') : ''
  }
}

class OpenGraphParser extends ContentParser {
  async parse(doc: Document): Promise<Partial<WebMentionContent>> {
    const content: Partial<WebMentionContent> = {}

    const title = doc.querySelector('meta[property="og:title"]')
    if (title) {
      content.title = title.getAttribute('content') || ''
    }

    const description = doc.querySelector('meta[property="og:description"]')
    if (description) {
      content.text = description.getAttribute('content') || ''
    }

    return content
  }
}

class JSONLDParser extends ContentParser {
  async parse(doc: Document): Promise<Partial<WebMentionContent>> {
    const scripts = doc.querySelectorAll('script[type="application/ld+json"]')

    for (const script of scripts) {
      try {
        const data = JSON.parse(script.textContent || '')
        if (data['@type'] === 'BlogPosting' || data['@type'] === 'Article') {
          return {
            title: data.headline || '',
            text: data.description || data.text || '',
            published: data.datePublished || ''
          }
        }
      } catch (error) {
        continue
      }
    }

    return {}
  }
}

class TwitterCardParser extends ContentParser {
  async parse(doc: Document): Promise<Partial<WebMentionContent>> {
    const content: Partial<WebMentionContent> = {}

    const title = doc.querySelector('meta[name="twitter:title"]')
    if (title) {
      content.title = title.getAttribute('content') || ''
    }

    const description = doc.querySelector('meta[name="twitter:description"]')
    if (description) {
      content.text = description.getAttribute('content') || ''
    }

    return content
  }
}

export default WebMentionsCommentSystem

// Social Network Aggregator with WebMentions and ActivityPub
// Aggregate content from Twitter, Mastodon, and other federated platforms

interface SocialPost {
  id: string
  platform: 'twitter' | 'mastodon' | 'bluesky' | 'web' | 'activitypub'
  url: string
  content: string
  author: SocialAuthor
  publishedAt: Date
  likes?: number
  shares?: number
  replies?: number
  hashtags?: string[]
  mentions?: string[]
  media?: SocialMedia[]
  replyTo?: string
  thread?: SocialPost[]
  webmentions?: WebMention[]
}

interface SocialAuthor {
  id: string
  name: string
  username: string
  avatar?: string
  url?: string
  verified?: boolean
  followers?: number
  bio?: string
  location?: string
  website?: string
  social?: {
    twitter?: string
    mastodon?: string
    bluesky?: string
    github?: string
  }
}

interface SocialMedia {
  type: 'image' | 'video' | 'audio' | 'link'
  url: string
  thumbnail?: string
  description?: string
  width?: number
  height?: number
  duration?: number
}

interface WebMention {
  id: string
  source: string
  target: string
  content: string
  author: SocialAuthor
  publishedAt: Date
  type: 'like' | 'repost' | 'reply' | 'mention'
}

class SocialNetworkAggregator {
  private posts: Map<string, SocialPost> = new Map()
  private authors: Map<string, SocialAuthor> = new Map()
  private webmentionProcessor: WebMentionsCommentSystem
  private activityPubClient: ActivityPubClient

  constructor(
    private config: {
      websiteUrl: string
      platforms: SocialPlatform[]
      enableWebmentions: boolean
      enableActivityPub: boolean
      aggregationRules: AggregationRule[]
    }
  ) {
    this.webmentionProcessor = new WebMentionsCommentSystem(this.config.websiteUrl)
    this.activityPubClient = new ActivityPubClient(this.config.websiteUrl)
  }

  // Aggregate content from all configured platforms
  async aggregateContent(targetUrl: string): Promise<{
    posts: SocialPost[]
    authors: SocialAuthor[]
    statistics: AggregationStats
  }> {
    console.log(`Aggregating content for: ${targetUrl}`)

    const allPosts: SocialPost[] = []
    const allAuthors: Map<string, SocialAuthor> = new Map()

    // Aggregate from each platform
    for (const platform of this.config.platforms) {
      try {
        const posts = await this.aggregateFromPlatform(platform, targetUrl)
        allPosts.push(...posts)

        // Collect authors
        posts.forEach(post => {
          if (!allAuthors.has(post.author.id)) {
            allAuthors.set(post.author.id, post.author)
          }
        })

      } catch (error) {
        console.error(`Error aggregating from ${platform.name}:`, error)
      }
    }

    // Process WebMentions
    if (this.config.enableWebmentions) {
      const webmentionPosts = await this.aggregateWebmentions(targetUrl)
      allPosts.push(...webmentionPosts)
    }

    // Process ActivityPub interactions
    if (this.config.enableActivityPub) {
      const activityPubPosts = await this.aggregateActivityPub(targetUrl)
      allPosts.push(...activityPubPosts)
    }

    // Apply aggregation rules
    const filteredPosts = this.applyAggregationRules(allPosts)

    // Sort and rank posts
    const rankedPosts = this.rankPosts(filteredPosts)

    // Calculate statistics
    const statistics = this.calculateStatistics(rankedPosts)

    return {
      posts: rankedPosts,
      authors: Array.from(allAuthors.values()),
      statistics
    }
  }

  // Aggregate from specific platform
  private async aggregateFromPlatform(platform: SocialPlatform, targetUrl: string): Promise<SocialPost[]> {
    switch (platform.type) {
      case 'twitter':
        return this.aggregateTwitter(platform, targetUrl)
      case 'mastodon':
        return this.aggregateMastodon(platform, targetUrl)
      case 'bluesky':
        return this.aggregateBluesky(platform, targetUrl)
      case 'activitypub':
        return this.aggregateActivityPubInstance(platform, targetUrl)
      default:
        return []
    }
  }

  // Aggregate Twitter content
  private async aggregateTwitter(platform: SocialPlatform, targetUrl: string): Promise<SocialPost[]> {
    console.log('Aggregating from Twitter...')

    // Search for tweets mentioning the target URL
    const searchQuery = this.buildSearchQuery(targetUrl)
    const tweets = await this.searchTwitterTweets(searchQuery, platform.apiKey)

    return tweets.map(tweet => this.convertTwitterToSocialPost(tweet))
  }

  // Aggregate Mastodon content
  private async aggregateMastodon(platform: SocialPlatform, targetUrl: string): Promise<SocialPost[]> {
    console.log('Aggregating from Mastodon...')

    const posts: SocialPost[] = []

    // Search across multiple Mastodon instances
    for (const instance of platform.instances || []) {
      try {
        const searchResults = await this.searchMastodonInstance(instance, targetUrl)
        posts.push(...searchResults.map(post => this.convertMastodonToSocialPost(post, instance)))
      } catch (error) {
        console.warn(`Failed to search Mastodon instance ${instance}:`, error)
      }
    }

    return posts
  }

  // Aggregate Bluesky content
  private async aggregateBluesky(platform: SocialPlatform, targetUrl: string): Promise<SocialPost[]> {
    console.log('Aggregating from Bluesky...')

    const searchResults = await this.searchBluesky(targetUrl, platform.apiKey)
    return searchResults.map(post => this.convertBlueskyToSocialPost(post))
  }

  // Aggregate WebMentions
  private async aggregateWebmentions(targetUrl: string): Promise<SocialPost[]> {
    console.log('Aggregating WebMentions...')

    const mentions = this.webmentionProcessor.getMentions(targetUrl, { approved: true })

    return mentions.map(mention => ({
      id: mention.id,
      platform: 'web' as const,
      url: mention.source,
      content: mention.content.text,
      author: this.convertWebmentionAuthor(mention.author),
      publishedAt: new Date(mention.published),
      type: 'mention',
      webmentions: [mention]
    }))
  }

  // Aggregate ActivityPub content
  private async aggregateActivityPub(targetUrl: string): Promise<SocialPost[]> {
    console.log('Aggregating from ActivityPub...')

    const activities = await this.activityPubClient.searchInteractions(targetUrl)
    return activities.map(activity => this.convertActivityPubToSocialPost(activity))
  }

  // Search Twitter for tweets
  private async searchTwitterTweets(query: string, apiKey: string): Promise<TwitterTweet[]> {
    try {
      const response = await fetch(`https://api.twitter.com/2/tweets/search/recent?query=${encodeURIComponent(query)}&expansions=author_id,attachments.media&tweet.fields=public_metrics,created_at&user.fields=username,name,profile_image_url,verified,public_metrics`, {
        headers: {
          'Authorization': `Bearer ${apiKey}`
        }
      })

      if (!response.ok) {
        throw new Error(`Twitter API error: ${response.statusText}`)
      }

      const data = await response.json()
      return data.data || []

    } catch (error) {
      console.error('Twitter search error:', error)
      return []
    }
  }

  // Search Mastodon instance
  private async searchMastodonInstance(instance: string, targetUrl: string): Promise<MastodonPost[]> {
    try {
      const response = await fetch(`https://${instance}/api/v2/search?q=${encodeURIComponent(targetUrl)}&resolve=true&type=statuses`, {
        headers: {
          'Accept': 'application/json'
        }
      })

      if (!response.ok) {
        throw new Error(`Mastodon API error: ${response.statusText}`)
      }

      const data = await response.json()
      return data.statuses || []

    } catch (error) {
      console.error(`Mastodon search error for ${instance}:`, error)
      return []
    }
  }

  // Search Bluesky
  private async searchBluesky(query: string, apiKey: string): Promise<BlueskyPost[]> {
    try {
      const response = await fetch(`https://api.bsky.app/xrpc/app.bsky.feed.searchPosts?q=${encodeURIComponent(query)}`, {
        headers: {
          'Authorization': `Bearer ${apiKey}`
        }
      })

      if (!response.ok) {
        throw new Error(`Bluesky API error: ${response.statusText}`)
      }

      const data = await response.json()
      return data.posts || []

    } catch (error) {
      console.error('Bluesky search error:', error)
      return []
    }
  }

  // Build search query for platform
  private buildSearchQuery(targetUrl: string): string {
    // Extract domain for better searching
    const url = new URL(targetUrl)
    const domain = url.hostname

    // Build comprehensive search query
    const queryTerms = [
      `\"${targetUrl.replace(/^https?:\/\//, '')}\"`, // Exact URL
      domain, // Domain name
      url.pathname, // Path
      'lang:en' // English results only
    ]

    // Add negative terms to filter out noise
    const negativeTerms = ['-filter:replies', '-filter:retweets']

    return [...queryTerms, ...negativeTerms].join(' ')
  }

  // Convert platform-specific formats to SocialPost
  private convertTwitterToSocialPost(tweet: TwitterTweet): SocialPost {
    return {
      id: tweet.id,
      platform: 'twitter',
      url: `https://twitter.com/i/web/status/${tweet.id}`,
      content: tweet.text,
      author: {
        id: tweet.author_id,
        name: tweet.author.name,
        username: tweet.author.username,
        avatar: tweet.author.profile_image_url,
        url: `https://twitter.com/${tweet.author.username}`,
        verified: tweet.author.verified,
        followers: tweet.author.public_metrics?.followers_count
      },
      publishedAt: new Date(tweet.created_at),
      likes: tweet.public_metrics?.like_count,
      shares: tweet.public_metrics?.retweet_count,
      replies: tweet.public_metrics?.reply_count,
      hashtags: this.extractHashtags(tweet.text),
      mentions: this.extractMentions(tweet.text),
      media: this.convertTwitterMedia(tweet.attachments)
    }
  }

  private convertMastodonToSocialPost(post: MastodonPost, instance: string): SocialPost {
    return {
      id: post.id,
      platform: 'mastodon',
      url: post.url,
      content: post.content,
      author: {
        id: post.account.id,
        name: post.account.display_name,
        username: post.account.username,
        avatar: post.account.avatar,
        url: post.account.url,
        followers: post.account.followers_count,
        bio: post.account.note
      },
      publishedAt: new Date(post.created_at),
      likes: post.favourites_count,
      shares: post.reblogs_count,
      replies: post.replies_count,
      hashtags: post.tags?.map(tag => tag.name),
      mentions: post.mentions?.map(mention => mention.acct),
      media: this.convertMastodonMedia(post.media_attachments),
      replyTo: post.in_reply_to_id
    }
  }

  private convertBlueskyToSocialPost(post: BlueskyPost): SocialPost {
    return {
      id: post.uri,
      platform: 'bluesky',
      url: `https://bsky.app/profile/${post.author.handle}/post/${post.uri.split('/').pop()}`,
      content: post.record.text,
      author: {
        id: post.author.did,
        name: post.author.displayName,
        username: post.author.handle,
        avatar: post.author.avatar,
        url: `https://bsky.app/profile/${post.author.handle}`,
        followers: post.author.followersCount
      },
      publishedAt: new Date(post.record.createdAt),
      likes: post.likeCount,
      replies: post.replyCount,
      reposts: post.repostCount,
      hashtags: this.extractBlueskyTags(post.record.text),
      media: this.convertBlueskyMedia(post.embed)
    }
  }

  private convertWebmentionAuthor(author: any): SocialAuthor {
    return {
      id: author.url || 'unknown',
      name: author.name || 'Anonymous',
      username: author.name?.toLowerCase().replace(/\s+/g, '') || 'anonymous',
      avatar: author.photo,
      url: author.url,
      social: author.social
    }
  }

  private convertActivityPubToSocialPost(activity: ActivityPubActivity): SocialPost {
    const object = activity.object as ActivityPubObject

    return {
      id: activity.id,
      platform: 'activitypub',
      url: object.url,
      content: object.content,
      author: {
        id: object.attributedTo.id,
        name: object.attributedTo.name,
        username: object.attributedTo.preferredUsername,
        avatar: object.attributedTo.icon?.url,
        url: object.attributedTo.url,
        followers: object.attributedTo.followersCount
      },
      publishedAt: new Date(object.published),
      likes: object.likeCount || 0,
      shares: object.shareCount || 0,
      replies: object.replyCount || 0,
      hashtags: object.tag?.filter(tag => tag.type === 'Hashtag').map(tag => tag.name),
      mentions: object.tag?.filter(tag => tag.type === 'Mention').map(tag => tag.name)
    }
  }

  // Media conversion methods
  private convertTwitterMedia(attachments: TwitterMedia[]): SocialMedia[] {
    if (!attachments) return []

    return attachments.map(media => ({
      type: media.type === 'photo' ? 'image' : 'video',
      url: media.url,
      description: media.alt_text,
      width: media.width,
      height: media.height
    }))
  }

  private convertMastodonMedia(attachments: MastodonMedia[]): SocialMedia[] {
    if (!attachments) return []

    return attachments.map(media => ({
      type: media.type,
      url: media.url,
      thumbnail: media.preview_url,
      description: media.description,
      width: media.meta?.original?.width,
      height: media.meta?.original?.height,
      duration: media.meta?.duration
    }))
  }

  private convertBlueskyMedia(embed: any): SocialMedia[] {
    if (!embed) return []

    if (embed.$type === 'app.bsky.embed.images.view') {
      return embed.images.map((img: any) => ({
        type: 'image',
        url: img.fullsize,
        thumbnail: img.thumb,
        description: img.alt,
        width: img.aspectRatio?.width,
        height: img.aspectRatio?.height
      }))
    }

    return []
  }

  // Text processing utilities
  private extractHashtags(text: string): string[] {
    const hashtags = text.match(/#[\w]+/g)
    return hashtags ? hashtags.map(tag => tag.substring(1)) : []
  }

  private extractMentions(text: string): string[] {
    const mentions = text.match(/@[\w]+/g)
    return mentions ? mentions.map(mention => mention.substring(1)) : []
  }

  private extractBlueskyTags(text: string): string[] {
    // Bluesky doesn't use hashtags in the same way
    return []
  }

  // Apply aggregation rules
  private applyAggregationRules(posts: SocialPost[]): SocialPost[] {
    let filteredPosts = [...posts]

    for (const rule of this.config.aggregationRules) {
      filteredPosts = this.applyRule(filteredPosts, rule)
    }

    // Remove duplicates
    filteredPosts = this.deduplicatePosts(filteredPosts)

    return filteredPosts
  }

  private applyRule(posts: SocialPost[], rule: AggregationRule): SocialPost[] {
    return posts.filter(post => {
      // Apply rule logic
      if (rule.minFollowers && post.author.followers && post.author.followers < rule.minFollowers) {
        return false
      }

      if (rule.blockedWords) {
        const text = post.content.toLowerCase()
        if (rule.blockedWords.some(word => text.includes(word.toLowerCase()))) {
          return false
        }
      }

      if (rule.requireVerified && !post.author.verified) {
        return false
      }

      if (rule.maxAge) {
        const age = Date.now() - post.publishedAt.getTime()
        if (age > rule.maxAge) {
          return false
        }
      }

      return true
    })
  }

  // Remove duplicate posts
  private deduplicatePosts(posts: SocialPost[]): SocialPost[] {
    const seen = new Set<string>()
    return posts.filter(post => {
      // Create a unique key based on content and author
      const key = `${post.author.username}:${post.content.substring(0, 100)}`
      if (seen.has(key)) {
        return false
      }
      seen.add(key)
      return true
    })
  }

  // Rank posts by relevance and engagement
  private rankPosts(posts: SocialPost[]): SocialPost[] {
    return posts.sort((a, b) => {
      const scoreA = this.calculatePostScore(a)
      const scoreB = this.calculatePostScore(b)
      return scoreB - scoreA
    })
  }

  private calculatePostScore(post: SocialPost): number {
    let score = 0

    // Base score for content
    score += post.content.length > 100 ? 10 : 5

    // Engagement metrics
    score += (post.likes || 0) * 2
    score += (post.shares || 0) * 3
    score += (post.replies || 0) * 4

    // Author credibility
    if (post.author.verified) score += 20
    if (post.author.followers && post.author.followers > 1000) score += 10

    // Recency (more recent posts get higher scores)
    const ageHours = (Date.now() - post.publishedAt.getTime()) / (1000 * 60 * 60)
    score += Math.max(0, 20 - ageHours)

    // Platform weight
    const platformWeights = { twitter: 1.2, mastodon: 1.0, bluesky: 1.1, web: 0.8, activitypub: 1.0 }
    score *= platformWeights[post.platform] || 1.0

    return score
  }

  // Calculate aggregation statistics
  private calculateStatistics(posts: SocialPost[]): AggregationStats {
    const stats: AggregationStats = {
      totalPosts: posts.length,
      byPlatform: this.groupByPlatform(posts),
      byDate: this.groupByDate(posts),
      topAuthors: this.getTopAuthors(posts),
      engagementMetrics: this.calculateEngagementMetrics(posts),
      hashtags: this.getTopHashtags(posts),
      timeRange: this.getTimeRange(posts)
    }

    return stats
  }

  private groupByPlatform(posts: SocialPost[]): Record<string, number> {
    return posts.reduce((groups, post) => {
      groups[post.platform] = (groups[post.platform] || 0) + 1
      return groups
    }, {} as Record<string, number>)
  }

  private groupByDate(posts: SocialPost[]): Record<string, number> {
    return posts.reduce((groups, post) => {
      const date = post.publishedAt.toISOString().split('T')[0]
      groups[date] = (groups[date] || 0) + 1
      return groups
    }, {} as Record<string, number>)
  }

  private getTopAuthors(posts: SocialPost[]): Array<{ author: SocialAuthor; postCount: number }> {
    const authorCounts = posts.reduce((counts, post) => {
      counts[post.author.id] = {
        author: post.author,
        postCount: (counts[post.author.id]?.postCount || 0) + 1
      }
      return counts
    }, {} as Record<string, { author: SocialAuthor; postCount: number }>)

    return Object.values(authorCounts)
      .sort((a, b) => b.postCount - a.postCount)
      .slice(0, 10)
  }

  private calculateEngagementMetrics(posts: SocialPost[]) {
    const totals = posts.reduce((metrics, post) => {
      metrics.totalLikes += post.likes || 0
      metrics.totalShares += post.shares || 0
      metrics.totalReplies += post.replies || 0
      return metrics
    }, { totalLikes: 0, totalShares: 0, totalReplies: 0 })

    return {
      ...totals,
      averageLikes: totals.totalLikes / posts.length,
      averageShares: totals.totalShares / posts.length,
      averageReplies: totals.totalReplies / posts.length
    }
  }

  private getTopHashtags(posts: SocialPost[]): Array<{ hashtag: string; count: number }> {
    const hashtagCounts = posts.reduce((counts, post) => {
      if (post.hashtags) {
        post.hashtags.forEach(hashtag => {
          counts[hashtag] = (counts[hashtag] || 0) + 1
        })
      }
      return counts
    }, {} as Record<string, number>)

    return Object.entries(hashtagCounts)
      .map(([hashtag, count]) => ({ hashtag, count }))
      .sort((a, b) => b.count - a.count)
      .slice(0, 20)
  }

  private getTimeRange(posts: SocialPost[]): { earliest: Date; latest: Date } {
    if (posts.length === 0) {
      return {
        earliest: new Date(),
        latest: new Date()
      }
    }

    const dates = posts.map(post => post.publishedAt)
    return {
      earliest: new Date(Math.min(...dates.map(d => d.getTime()))),
      latest: new Date(Math.max(...dates.map(d => d.getTime())))
    }
  }
}

// Supporting interfaces and types
interface SocialPlatform {
  type: 'twitter' | 'mastodon' | 'bluesky' | 'activitypub'
  name: string
  apiKey?: string
  instances?: string[] // For Mastodon
}

interface AggregationRule {
  name: string
  minFollowers?: number
  blockedWords?: string[]
  requireVerified?: boolean
  maxAge?: number // milliseconds
}

interface AggregationStats {
  totalPosts: number
  byPlatform: Record<string, number>
  byDate: Record<string, number>
  topAuthors: Array<{ author: SocialAuthor; postCount: number }>
  engagementMetrics: {
    totalLikes: number
    totalShares: number
    totalReplies: number
    averageLikes: number
    averageShares: number
    averageReplies: number
  }
  hashtags: Array<{ hashtag: string; count: number }>
  timeRange: { earliest: Date; latest: Date }
}

// Placeholder interfaces for platform-specific data
interface TwitterTweet {
  id: string
  text: string
  author_id: string
  created_at: string
  public_metrics?: {
    like_count: number
    retweet_count: number
    reply_count: number
  }
  author: {
    id: string
    name: string
    username: string
    profile_image_url: string
    verified: boolean
    public_metrics?: {
      followers_count: number
    }
  }
  attachments?: TwitterMedia[]
}

interface TwitterMedia {
  media_key: string
  type: 'photo' | 'video'
  url: string
  preview_image_url?: string
  width?: number
  height?: number
  alt_text?: string
}

interface MastodonPost {
  id: string
  url: string
  content: string
  created_at: string
  account: {
    id: string
    display_name: string
    username: string
    avatar: string
    url: string
    followers_count: number
    note: string
  }
  favourites_count: number
  reblogs_count: number
  replies_count: number
  tags?: Array<{ name: string }>
  mentions?: Array<{ acct: string }>
  media_attachments?: MastodonMedia[]
  in_reply_to_id?: string
}

interface MastodonMedia {
  id: string
  type: 'image' | 'video' | 'gifv' | 'audio'
  url: string
  preview_url?: string
  description?: string
  meta?: {
    original?: {
      width: number
      height: number
    }
    duration?: number
  }
}

interface BlueskyPost {
  uri: string
  author: {
    did: string
    handle: string
    displayName?: string
    avatar?: string
    followersCount?: number
  }
  record: {
    text: string
    createdAt: string
  }
  likeCount: number
  replyCount: number
  repostCount: number
  embed?: any
}

interface ActivityPubClient {
  searchInteractions(targetUrl: string): Promise<ActivityPubActivity[]>
}

interface ActivityPubActivity {
  id: string
  type: string
  object: ActivityPubObject
}

interface ActivityPubObject {
  id: string
  url?: string
  content: string
  published: string
  attributedTo: {
    id: string
    name: string
    preferredUsername: string
    icon?: { url: string }
    url: string
    followersCount?: number
  }
  likeCount?: number
  shareCount?: number
  replyCount?: number
  tag?: Array<{ type: string; name: string }>
}

export default SocialNetworkAggregator