Contributing to Interactive Documentation

This guide covers how to contribute to Ring Platform's interactive documentation system using Jupyter notebooks alongside our existing Docusaurus documentation.

🎯 Overview

Ring Platform uses a dual documentation approach:

• 📚 Static Documentation (Docusaurus) - Comprehensive guides, references, and architecture
• 📓 Interactive Documentation (Jupyter) - Live code, API testing, visualizations, tutorials

🎓

Interactive Notebook: Interactive Documentation Hub

Central index of all Jupyter notebooks with live directory scanning, visualization tools, and integration examples.

📓 View Notebook💻 Run Locallytutorials

📁 Notebook Organization

Directory Structure

my-docs/notebooks/
├── index.ipynb                    # 📋 Main index and overview
├── api-testing/                   # 🔧 API Testing & Integration
│   └── ring-notification-system.ipynb
├── analytics/                     # 📊 Analytics & Monitoring
├── tutorials/                     # 🎓 Tutorials & Guides  
├── architecture/                  # 🏗️ System Architecture
├── templates/                     # 📝 Notebook templates
│   └── notebook-template.ipynb
├── completed/                     # ✅ Completed notebooks
└── archive/                       # 📦 Archived versions

Naming Conventions

• Lowercase with hyphens: my-notebook.ipynb
• Descriptive names: user-authentication-testing.ipynb
• Category prefixes: For cross-category notebooks, use prefixes like arch-microservices-design.ipynb

🔧 Creating New Notebooks

1. Choose Category

Category	Purpose	Examples
api-testing	API integration, testing, validation	user-management-api.ipynb
analytics	Data analysis, monitoring, insights	platform-analytics.ipynb
tutorials	Learning materials, step-by-step guides	getting-started-guide.ipynb
architecture	System design, patterns, deep dives	event-driven-architecture.ipynb

2. Use the Template

Start with the standard template:

# Copy the template
cp notebooks/templates/notebook-template.ipynb notebooks/[category]/[your-notebook].ipynb

# Customize the template placeholders:
# - [Notebook Title]
# - [CATEGORY] 
# - [STATUS]
# - Configuration section

3. Follow the Structure

# Standard notebook structure:
# 1. Title and overview (markdown)
# 2. Setup and imports (code)
# 3. Configuration (code)
# 4. Interactive examples (code + markdown)
# 5. Visualizations (code)
# 6. Integration examples (code + markdown)
# 7. Best practices (markdown)
# 8. Next steps and links (markdown)

4. Development Guidelines

Content Standards

• Clear objectives - State what the notebook accomplishes
• Working examples - All code should run successfully
• Error handling - Handle API failures gracefully
• Documentation - Explain complex concepts and code
• Visualizations - Include charts and graphs where helpful

Code Standards

# Use the standard API helper function
def make_api_call(endpoint: str, method: str = "GET", data: Dict = None):
    # Standard implementation from template

# Document all functions
def analyze_data(data: pd.DataFrame) -> Dict:
    """
    Analyze notification data and return insights
    
    Args:
        data: DataFrame with notification records
        
    Returns:
        dict: Analysis results with metrics and trends
    """
    pass

# Handle errors gracefully
try:
    result = make_api_call("/notifications")
    if result.get('success'):
        # Process successful response
        pass
    else:
        print(f"❌ API Error: {result.get('error')}")
except Exception as e:
    print(f"❌ Unexpected error: {e}")

📖 Integration with Static Docs

Linking from Docusaurus to Notebooks

Use the NotebookLink component in your .md files:

import NotebookLink from '@site/src/components/NotebookLink';

<NotebookLink 
  notebook="your-notebook.ipynb"
  title="Your Notebook Title"
  description="Brief description of what the notebook covers"
  category="api-testing"
/>

Cross-References

• From notebooks to docs: Link to relevant static documentation
• From docs to notebooks: Include interactive examples
• Shared examples: Keep code examples consistent between both systems

Example Integration

In a service documentation page:

# User Management Service

Static documentation content here...

<NotebookLink 
  notebook="user-management-api.ipynb"
  title="User Management API Testing"
  description="Interactive testing of authentication, profile management, and role-based access control."
  category="api-testing"
/>

More static documentation...

🧪 Testing and Validation

Pre-Submission Checklist

• Notebook runs completely - All cells execute without errors
• API calls work - Test with both development and production environments
• Documentation is clear - Explanations are comprehensive
• Visualizations render - Charts and graphs display correctly
• Template compliance - Follows the standard structure and naming
• Index updated - Added to the main index.ipynb if needed

Environment Testing

Test your notebook in multiple environments:

# Test configuration
ENVIRONMENTS = {
    "development": "http://localhost:3000/api",
    "staging": "https://staging.ring.ck.ua/api", 
    "production": "https://ring.ck.ua/api"
}

# Test API connectivity
for env, url in ENVIRONMENTS.items():
    try:
        response = requests.get(f"{url}/health")
        print(f"✅ {env}: {response.status_code}")
    except:
        print(f"❌ {env}: Connection failed")

🔄 Notebook Lifecycle

Development Stages

1. 📝 Draft - Initial development, may have incomplete sections
2. 🔄 In Progress - Active development, core functionality working
3. ✅ Complete - Fully functional, documented, and tested
4. 📦 Archived - Older versions or deprecated content

Version Management

• Use semantic versioning in notebook metadata
• Archive old versions in the archive/ directory
• Document changes in a changelog section
• Tag stable releases for reference

Maintenance

• Regular updates - Keep notebooks current with API changes
• Dependency updates - Update Python packages and imports
• Link validation - Ensure external links remain valid
• Performance optimization - Optimize slow-running cells

🤝 Contributing Workflow

1. Planning

• Review existing notebooks to avoid duplication
• Discuss complex notebooks in GitHub issues
• Check the roadmap in index.ipynb

2. Development

# Create feature branch
git checkout -b feature/notebook-name

# Create notebook from template
cp notebooks/templates/notebook-template.ipynb notebooks/category/your-notebook.ipynb

# Develop and test
jupyter lab notebooks/category/your-notebook.ipynb

# Update index if needed
jupyter lab notebooks/index.ipynb

3. Integration

• Add NotebookLink components to relevant documentation pages
• Test integration with static documentation
• Ensure cross-references work correctly

4. Submission

# Commit changes
git add notebooks/
git commit -m "Add: Interactive notebook for [feature]"

# Push and create PR
git push origin feature/notebook-name
# Create pull request with description

📊 Analytics and Feedback

Usage Tracking

• Monitor notebook usage through GitHub analytics
• Track which notebooks are most accessed
• Gather feedback through GitHub issues and discussions

Continuous Improvement

• Regular review of notebook effectiveness
• Update based on user feedback
• Expand popular topics with additional notebooks

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🔗 Resources

• 📓 Notebook Index: notebooks/index.ipynb
• 📝 Template: notebooks/templates/notebook-template.ipynb
• 🌐 Ring Platform: ring.ck.ua
• 📚 Static Documentation: docs.ring.ck.ua
• 📖 Jupyter Documentation: jupyter.org

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Ready to contribute to Ring Platform's interactive documentation? Start with the notebook template and follow this guide!