🏆 Discourse Rich JSON-LD Microdata Plugin

English version | Русская версия

Comprehensive, coordinated Open Graph and Schema.org JSON-LD microdata for 200% SEO and LLM coverage

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🎯 What This Plugin Does

This plugin replaces Discourse's standard meta tags with a comprehensive, professionally structured microdata system that provides:

✅ For SEO (100%):

• Rich Snippets in Google/Yandex (⭐ ratings, 💬 answer counts, 👤 authors, 📅 dates)
• Knowledge Graph panels for expert users
• Featured Snippets in "People also ask"
• Breadcrumbs in search results
• Complete QAPage schema for Q&A content

✅ For AI/LLM (100%):

• Full context understanding (topics → categories → answers → comments)
• Entity relationships through @id references
• Author expertise metadata
• Solved answers marking
• Complete knowledge graph of your forum

✅ Total = 200% Coverage! 🚀

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🌟 Key Features

1. Coordinated Markup

• Open Graph, Twitter Cards, and JSON-LD generated from single source of truth
• No data conflicts between different meta tag types
• All data synchronized automatically

2. Complete Removal of Standard Tags

• Removes Discourse's default meta tags (both server-side and client-side)
• Prevents duplicate/conflicting markup
• Clean, professional output

3. Rich Schema.org Structure

• QAPage for topics with full Q&A hierarchy
• CollectionPage for categories with subcategories
• ProfilePage for user profiles
• BreadcrumbList for navigation
• WebSite global schema with search action

4. Full Localization (EN/RU) 🌍

• 100% English + 100% Russian translations
• Automatic language detection (user → site → browser)
• All Schema.org descriptions localized
• Open Graph and Twitter Cards in user's language
• Easy to add more languages

5. Performance Optimized

• Smart caching (1 hour default, configurable)
• Automatic cache invalidation on content changes
• < 5ms for cached pages
• ~50ms for fresh generation

6. LLM-Friendly

• Complete graph of entities with @id references
• Nested comment structure preserved
• Author statistics and expertise indicators
• Tags as structured entities

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📦 Installation

Method 1: Via Git (Recommended)

cd /var/discourse
git clone https://github.com/kaktaknet/discourse-rich-json-ld-microdata.git plugins/discourse-rich-json-ld-microdata
./launcher rebuild app

Method 2: Manual

1. Copy plugin to plugins/discourse-rich-json-ld-microdata/
2. Rebuild Discourse: ./launcher rebuild app
3. Enable in Admin → Settings → Plugins

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⚙️ Configuration

Navigate to Admin → Settings → Plugins → Rich Microdata

Essential Settings:

Setting	Default	Description
rich_microdata_enabled	true	Master switch for the plugin
rich_microdata_cache_ttl	3600	Cache duration (seconds)
rich_microdata_max_answers	10	Max answers in JSON-LD
rich_microdata_include_user_stats	true	Include user statistics
rich_microdata_enable_breadcrumbs	true	Add BreadcrumbList schema
rich_microdata_twitter_site	""	Your @twitter handle

Advanced Settings:

Setting	Default	Description
rich_microdata_max_comments	5	Max nested comments per answer
rich_microdata_og_image_default	""	Fallback OG image URL
rich_microdata_debug_mode	false	Enable debug logging
rich_microdata_validate_output	false	Validate against Schema.org (dev only)

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🌍 Localization (Internationalization)

The plugin includes full localization support for English and Russian out of the box.

Supported Languages:

• 🇬🇧 English (en)
• 🇷🇺 Russian (ru)

What's Translated:

1. Admin Settings UI

   • All setting descriptions
   • Help text

2. Schema.org Descriptions

   • Category descriptions ("Discussions in...")
   • User profile descriptions ("User profile...")
   • Interaction statistics ("Created topics", "Written replies")

3. Open Graph & Twitter Cards

   • All metadata labels
   • Fallback descriptions

4. Breadcrumbs

   • "Home" → "Главная"

How Language Detection Works:

Priority order:

1. User preference (from Discourse user settings)
2. Site default (from Admin → Settings → default_locale)
3. Browser locale (from HTTP Accept-Language header)
4. Fallback to English (en-US)

Adding New Languages:

Step 1: Create Locale Files

Create files in config/locales/:

config/locales/
├── server.es.yml     # Spanish backend
├── client.es.yml     # Spanish frontend

Step 2: Copy Translation Structure

Copy from existing locale file (e.g., server.en.yml) and translate:

# config/locales/server.es.yml
es:
  site_settings:
    rich_microdata_enabled: "Activar plugin Rich Microdata"
    # ... more settings

  discourse_rich_microdata:
    breadcrumb:
      home: "Inicio"

    open_graph:
      category_description: "Discusiones en %{category_name}"
      user_description: "Perfil de usuario %{user_name}"

    twitter_card:
      label_replies: "Respuestas"
      label_author: "Autor"
      # ... more translations

Step 3: Test

# Rails console
I18n.locale = :es
I18n.t('discourse_rich_microdata.breadcrumb.home')
# => "Inicio"

Step 4: Submit PR

Contributions welcome! Submit translations via Pull Request.

Available Translation Keys:

See config/locales/server.en.yml for full list of keys.

Main groups:

• site_settings.* - Admin panel
• discourse_rich_microdata.breadcrumb.* - Navigation
• discourse_rich_microdata.open_graph.* - OG tags
• discourse_rich_microdata.twitter_card.* - Twitter cards
• discourse_rich_microdata.profile_page.* - User profiles
• discourse_rich_microdata.interaction_stats.* - Statistics

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🏗️ Architecture

Data Flow:

Discourse Object (Topic/Category/User)
         ↓
    DataExtractor
         ↓
   Unified Data Hash
    /     |     \
   /      |      \
OG    Twitter   Schema
Builder Builder Builder
   \      |      /
    \     |     /
   Coordinator
         ↓
   MetaGeneratorService
   (with caching)
         ↓
    Controller Hook
         ↓
    Inserted into <head>

Key Components:

1. DataExtractor - Extracts & normalizes data from Discourse objects
2. Builders - Generate specific markup types (OG, Twitter, JSON-LD)
3. Coordinator - Ensures data consistency across all builders
4. MetaGeneratorService - Adds caching and error handling
5. MetaRemover - Removes standard Discourse tags

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📊 Generated Markup Examples

For Topics:

Open Graph:

<meta property="og:type" content="article">
<meta property="og:title" content="How to optimize PostgreSQL queries?">
<meta property="og:url" content="https://forum.com/t/topic-slug/123">
<meta property="og:description" content="Queries running 3.5 seconds...">
<meta property="og:image" content="https://forum.com/uploads/postgres.jpg">
<meta property="article:author" content="https://forum.com/u/john">

JSON-LD QAPage:

{
  "@context": "https://schema.org",
  "@type": "QAPage",
  "name": "How to optimize PostgreSQL queries?",
  "mainEntity": {
    "@type": "Question",
    "name": "How to optimize PostgreSQL queries?",
    "text": "Queries running 3.5 seconds...",
    "answerCount": 12,
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "Use composite indexes...",
      "upvoteCount": 89,
      "author": {
        "@type": "Person",
        "name": "Maria DB Expert"
      }
    },
    "suggestedAnswer": [...]
  }
}

---

🔧 Customization

Adding Custom Social Links:

Edit lib/discourse_rich_microdata/builders/website_builder.rb:

def social_links
  links = []
  links << "https://github.com/your-org" if SiteSetting.your_github_url
  links << "https://twitter.com/yourhandle" if SiteSetting.your_twitter_url
  links.presence
end

Modifying Answer Limit:

Admin → Settings → rich_microdata_max_answers (5-50)

Custom Image Fallback:

Admin → Settings → rich_microdata_og_image_default

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🧪 Testing & Validation

Automated Validation:

# Run tests (when available)
bundle exec rspec plugins/discourse-rich-json-ld-microdata

Manual Validation:

1. Google Rich Results Test:

   https://search.google.com/test/rich-results
   

2. Schema.org Validator:

   https://validator.schema.org
   

3. Facebook Debugger:

   https://developers.facebook.com/tools/debug/
   

4. Twitter Card Validator:

   https://cards-dev.twitter.com/validator
   

Check Generated Markup:

# As Googlebot
curl -A "Googlebot" https://your-forum.com/t/topic-slug/123 | grep "application/ld+json"

# View full head
curl https://your-forum.com/t/topic-slug/123 | grep -A 50 "<head>"

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📈 Performance Metrics

Expected Performance:

Metric	Value
First generation (cold)	~50ms
From cache (warm)	~2-5ms
Cache hit rate	95-98%
Memory per schema	~6KB
Redis cache size (1000 topics)	~6MB

Monitoring:

# In Rails console
MetaGeneratorService.cache_stats
# => {
#   topics: 1247,
#   categories: 15,
#   users: 234,
#   total_size: "7.5 MB"
# }

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🐛 Troubleshooting

Issue: Markup not appearing

Solution:

# Check if enabled
SiteSetting.rich_microdata_enabled
# => true

# Clear cache
MetaGeneratorService.clear_all_cache

# Check logs
tail -f log/production.log | grep RichMicrodata

Issue: Old tags still present

Solution:

1. Hard refresh browser (Ctrl+Shift+R)
2. Check if JavaScript cleanup runs: Open DevTools → Console
3. Verify data-rich-microdata attribute on new tags

Issue: Validation errors

Solution:

# Enable debug mode
SiteSetting.rich_microdata_debug_mode = true

# Check specific topic
topic = Topic.find(123)
data = DiscourseRichMicrodata::DataExtractor.extract_topic_data(topic)
puts JSON.pretty_generate(data)

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🤝 Contributing

Contributions welcome!

1. Fork the repo
2. Create feature branch (git checkout -b feature/AmazingFeature)
3. Commit changes (git commit -m 'Add AmazingFeature')
4. Push to branch (git push origin feature/AmazingFeature)
5. Open Pull Request

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📝 Changelog

Version 2.0.0 (2025-11-11)

• ✨ Full localization (EN/RU) with automatic language detection
• ✨ I18n support for all Schema.org, Open Graph, Twitter Cards
• ✨ Example Telegram IV template rules in TELEGRAM_IV_RULES.txt
• ✨ Separate rendering for head tags and body content
• ✨ Enhanced language priority detection (user → site → browser)
• ✨ URL encoding for Cyrillic characters in slugs/usernames/tags

Version 1.0.0 (2025-11-08)

• ✨ Initial release
• ✨ Complete QAPage schema for topics
• ✨ CollectionPage for categories
• ✨ ProfilePage for users
• ✨ Coordinated OG + Twitter + JSON-LD
• ✨ Smart caching with auto-invalidation
• ✨ Removal of standard Discourse tags

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📄 License

MIT License - see LICENSE file

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💬 Support

• 📧 Email: support@kaktak.net
• 💬 Telegram: @kaktaknet
• 🐛 Issues: GitHub Issues
• 📖 Docs: Full Documentation

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🌟 Acknowledgments

• Discourse Team for the amazing platform
• Schema.org for structured data standards
• All contributors and users

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Made with ❤️ for the Discourse Community

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