system-prompts-and-models-of-ai-tools/UNIFIED_README.md

🚀 Unified n8n Workflow Documentation System

A comprehensive, unified application that combines all the best features from multiple workflow documentation systems into one powerful platform.

✨ Features

🔍 Advanced Search & Discovery

• Full-text search across all workflows with sub-100ms response times
• Smart filtering by complexity, trigger type, category, and integrations
• Real-time search with instant results
• FTS5-powered search engine for lightning-fast queries

📊 Comprehensive Analytics

• Real-time statistics with 2,055+ workflows analyzed
• 488+ unique integrations tracked and categorized
• 16 smart categories for automatic workflow organization
• Visual dashboards with interactive charts and metrics

🎯 Smart Categorization

• AI Agent Development - OpenAI, GPT, Claude, Gemini workflows
• Communication & Messaging - Telegram, Slack, Discord, Email
• CRM & Sales - Salesforce, HubSpot, Pipedrive integrations
• Social Media Management - Twitter, Facebook, Instagram, LinkedIn
• E-commerce & Retail - Shopify, WooCommerce, Stripe, PayPal
• Project Management - Asana, Trello, Monday, Jira
• Data Processing & Analysis - Database, SQL, CSV, Analytics
• Web Scraping & Data Extraction - HTTP requests, HTML parsing
• Cloud Storage & File Management - Google Drive, Dropbox, AWS S3
• Marketing & Advertising Automation - Email marketing, campaigns
• Financial & Accounting - QuickBooks, Xero, financial tools
• Technical Infrastructure & DevOps - APIs, webhooks, infrastructure

🔗 Integration Analysis

• Top integrations with usage statistics
• Integration relationships and patterns
• Popular combinations and workflows
• Trend analysis across the collection

📱 Modern Interface

• Responsive design that works on all devices
• Dark/light theme support
• Interactive search with live results
• Beautiful UI with modern design patterns

🚀 Quick Start

Option 1: Direct Python Run

# Install dependencies
pip install -r unified_requirements.txt

# Run the application
python unified_app.py

Option 2: Docker (Recommended)

# Build and run with Docker Compose
docker-compose -f unified_docker-compose.yml up --build

# Or build manually
docker build -f unified_Dockerfile -t unified-workflows .
docker run -p 8080:8080 unified-workflows

Option 3: Docker Compose

# Start the unified system
docker-compose -f unified_docker-compose.yml up -d

# View logs
docker-compose -f unified_docker-compose.yml logs -f

# Stop the system
docker-compose -f unified_docker-compose.yml down

🌐 Access Points

Once running, access the system at:

• Main Dashboard: http://localhost:8080
• API Documentation: http://localhost:8080/docs
• Statistics API: http://localhost:8080/api/stats
• Workflows API: http://localhost:8080/api/workflows
• Categories API: http://localhost:8080/api/categories

📊 API Endpoints

Core Endpoints

GET /api/stats

Get comprehensive statistics about the workflow collection.

Response:

{
  "total": 2055,
  "active": 215,
  "inactive": 1840,
  "triggers": {
    "Manual": 1342,
    "Scheduled": 410,
    "Webhook": 303
  },
  "complexity": {
    "high": 716,
    "medium": 774,
    "low": 565
  },
  "total_nodes": 29518,
  "unique_integrations": 488,
  "last_indexed": "2025-08-06T03:09:57.893739",
  "categories": ["AI Agent Development", "Communication & Messaging", ...],
  "top_integrations": [
    {"name": "OpenAI", "count": 255},
    {"name": "Telegram", "count": 183},
    {"name": "Gmail", "count": 181}
  ]
}

GET /api/workflows

Search and filter workflows with advanced querying.

Parameters:

• q - Search query (full-text search)
• page - Page number (default: 1)
• per_page - Items per page (default: 20, max: 100)
• complexity - Filter by complexity (low/medium/high)
• trigger - Filter by trigger type
• active_only - Show only active workflows
• category - Filter by category

Example:

# Search for Telegram workflows
GET /api/workflows?q=Telegram&per_page=10

# Get high complexity workflows
GET /api/workflows?complexity=high&per_page=20

# Search AI workflows in Communication category
GET /api/workflows?q=AI&category=Communication%20%26%20Messaging

GET /api/categories

Get all categories with workflow counts.

GET /api/integrations

Get all integrations with usage statistics.

GET /api/workflows/{id}

Get detailed information about a specific workflow.

GET /api/workflows/{id}/json

Download the JSON file for a specific workflow.

POST /api/reindex

Reindex all workflows (useful after adding new files).

🔧 Configuration

Environment Variables

• PYTHONUNBUFFERED=1 - Enable unbuffered Python output
• DATABASE_PATH - Custom database path (default: unified_workflows.db)

Database

The system uses SQLite with FTS5 for full-text search:

• Main database: unified_workflows.db
• FTS5 index: workflows_fts virtual table
• Statistics: statistics table
• Categories: categories table

File Structure

unified-app/
├── unified_app.py              # Main application
├── unified_requirements.txt    # Python dependencies
├── unified_Dockerfile          # Docker configuration
├── unified_docker-compose.yml  # Docker Compose
├── static/
│   └── workflows/              # Workflow JSON files
├── templates/                  # HTML templates
└── unified_workflows.db        # SQLite database

📈 Performance

Benchmarks

• Search Response Time: < 100ms average
• Database Size: ~50MB for 2,055 workflows
• Memory Usage: ~200MB RAM
• CPU Usage: Minimal (< 5% average)

Optimization Features

• SQLite FTS5 for lightning-fast full-text search
• Connection pooling for database efficiency
• Async/await for non-blocking operations
• Compressed responses for faster loading
• Caching for frequently accessed data

🎯 Use Cases

For Developers

• Workflow Discovery - Find existing workflows for reference
• Integration Research - See how integrations are used
• Pattern Analysis - Understand common workflow patterns
• API Development - Use the REST API for custom applications

For Teams

• Knowledge Sharing - Share workflow knowledge across teams
• Best Practices - Learn from existing workflow patterns
• Documentation - Maintain workflow documentation
• Onboarding - Help new team members understand workflows

For Organizations

• Asset Management - Track and manage workflow assets
• Compliance - Monitor workflow usage and patterns
• Analytics - Understand workflow adoption and usage
• Planning - Plan future workflow development

🔍 Search Examples

Find AI Workflows

GET /api/workflows?q=OpenAI GPT Claude

Find Communication Workflows

GET /api/workflows?q=Telegram Slack Email

Find High Complexity Workflows

GET /api/workflows?complexity=high&per_page=50

Find Active Webhook Workflows

GET /api/workflows?trigger=Webhook&active_only=true

Find E-commerce Workflows

GET /api/workflows?category=E-commerce%20%26%20Retail

🛠️ Development

Adding New Features

1. Modify unified_app.py to add new endpoints
2. Update the database schema if needed
3. Add new Pydantic models for data validation
4. Test with the built-in API documentation

Customizing Categories

Edit the categorize_workflow() function in unified_app.py to add new categorization logic.

Adding New Integrations

The system automatically detects integrations from workflow nodes. No manual configuration needed.

📊 Monitoring

Health Checks

The Docker container includes health checks:

# Check container health
docker ps

# View health check logs
docker logs unified-n8n-workflows

Logs

# View application logs
docker-compose -f unified_docker-compose.yml logs -f

# View specific service logs
docker-compose -f unified_docker-compose.yml logs unified-workflows

🔒 Security

Best Practices

• Database isolation - SQLite database is isolated
• Input validation - All inputs are validated with Pydantic
• SQL injection protection - Parameterized queries used
• File access control - Limited file system access

Production Deployment

For production use:

1. Use HTTPS with reverse proxy (nginx)
2. Implement authentication if needed
3. Use external database (PostgreSQL/MySQL)
4. Set up monitoring and logging
5. Configure backup strategies

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Test thoroughly
5. Submit a pull request

📄 License

This project is open source and available under the MIT License.

🆘 Support

For issues and questions:

1. Check the API documentation at /docs
2. Review the logs for error messages
3. Test the health check endpoint
4. Verify the database is properly initialized

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🚀 Ready to explore 2,055+ workflows with 488+ integrations in one unified system!