mirror of
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323 lines
9.1 KiB
Markdown
323 lines
9.1 KiB
Markdown
# 🚀 Unified n8n Workflow Documentation System
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A comprehensive, unified application that combines all the best features from multiple workflow documentation systems into one powerful platform.
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## ✨ Features
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### 🔍 **Advanced Search & Discovery**
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- **Full-text search** across all workflows with sub-100ms response times
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- **Smart filtering** by complexity, trigger type, category, and integrations
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- **Real-time search** with instant results
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- **FTS5-powered** search engine for lightning-fast queries
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### 📊 **Comprehensive Analytics**
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- **Real-time statistics** with 2,055+ workflows analyzed
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- **488+ unique integrations** tracked and categorized
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- **16 smart categories** for automatic workflow organization
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- **Visual dashboards** with interactive charts and metrics
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### 🎯 **Smart Categorization**
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- **AI Agent Development** - OpenAI, GPT, Claude, Gemini workflows
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- **Communication & Messaging** - Telegram, Slack, Discord, Email
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- **CRM & Sales** - Salesforce, HubSpot, Pipedrive integrations
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- **Social Media Management** - Twitter, Facebook, Instagram, LinkedIn
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- **E-commerce & Retail** - Shopify, WooCommerce, Stripe, PayPal
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- **Project Management** - Asana, Trello, Monday, Jira
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- **Data Processing & Analysis** - Database, SQL, CSV, Analytics
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- **Web Scraping & Data Extraction** - HTTP requests, HTML parsing
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- **Cloud Storage & File Management** - Google Drive, Dropbox, AWS S3
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- **Marketing & Advertising Automation** - Email marketing, campaigns
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- **Financial & Accounting** - QuickBooks, Xero, financial tools
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- **Technical Infrastructure & DevOps** - APIs, webhooks, infrastructure
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### 🔗 **Integration Analysis**
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- **Top integrations** with usage statistics
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- **Integration relationships** and patterns
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- **Popular combinations** and workflows
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- **Trend analysis** across the collection
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### 📱 **Modern Interface**
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- **Responsive design** that works on all devices
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- **Dark/light theme** support
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- **Interactive search** with live results
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- **Beautiful UI** with modern design patterns
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## 🚀 Quick Start
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### Option 1: Direct Python Run
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```bash
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# Install dependencies
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pip install -r unified_requirements.txt
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# Run the application
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python unified_app.py
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```
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### Option 2: Docker (Recommended)
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```bash
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# Build and run with Docker Compose
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docker-compose -f unified_docker-compose.yml up --build
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# Or build manually
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docker build -f unified_Dockerfile -t unified-workflows .
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docker run -p 8080:8080 unified-workflows
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```
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### Option 3: Docker Compose
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```bash
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# Start the unified system
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docker-compose -f unified_docker-compose.yml up -d
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# View logs
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docker-compose -f unified_docker-compose.yml logs -f
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# Stop the system
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docker-compose -f unified_docker-compose.yml down
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```
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## 🌐 Access Points
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Once running, access the system at:
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- **Main Dashboard**: http://localhost:8080
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- **API Documentation**: http://localhost:8080/docs
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- **Statistics API**: http://localhost:8080/api/stats
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- **Workflows API**: http://localhost:8080/api/workflows
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- **Categories API**: http://localhost:8080/api/categories
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## 📊 API Endpoints
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### Core Endpoints
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#### `GET /api/stats`
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Get comprehensive statistics about the workflow collection.
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**Response:**
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```json
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{
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"total": 2055,
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"active": 215,
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"inactive": 1840,
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"triggers": {
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"Manual": 1342,
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"Scheduled": 410,
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"Webhook": 303
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},
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"complexity": {
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"high": 716,
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"medium": 774,
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"low": 565
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},
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"total_nodes": 29518,
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"unique_integrations": 488,
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"last_indexed": "2025-08-06T03:09:57.893739",
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"categories": ["AI Agent Development", "Communication & Messaging", ...],
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"top_integrations": [
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{"name": "OpenAI", "count": 255},
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{"name": "Telegram", "count": 183},
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{"name": "Gmail", "count": 181}
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]
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}
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```
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#### `GET /api/workflows`
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Search and filter workflows with advanced querying.
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**Parameters:**
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- `q` - Search query (full-text search)
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- `page` - Page number (default: 1)
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- `per_page` - Items per page (default: 20, max: 100)
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- `complexity` - Filter by complexity (low/medium/high)
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- `trigger` - Filter by trigger type
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- `active_only` - Show only active workflows
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- `category` - Filter by category
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**Example:**
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```bash
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# Search for Telegram workflows
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GET /api/workflows?q=Telegram&per_page=10
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# Get high complexity workflows
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GET /api/workflows?complexity=high&per_page=20
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# Search AI workflows in Communication category
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GET /api/workflows?q=AI&category=Communication%20%26%20Messaging
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```
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#### `GET /api/categories`
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Get all categories with workflow counts.
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#### `GET /api/integrations`
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Get all integrations with usage statistics.
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#### `GET /api/workflows/{id}`
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Get detailed information about a specific workflow.
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#### `GET /api/workflows/{id}/json`
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Download the JSON file for a specific workflow.
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#### `POST /api/reindex`
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Reindex all workflows (useful after adding new files).
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## 🔧 Configuration
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### Environment Variables
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- `PYTHONUNBUFFERED=1` - Enable unbuffered Python output
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- `DATABASE_PATH` - Custom database path (default: unified_workflows.db)
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### Database
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The system uses SQLite with FTS5 for full-text search:
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- **Main database**: `unified_workflows.db`
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- **FTS5 index**: `workflows_fts` virtual table
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- **Statistics**: `statistics` table
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- **Categories**: `categories` table
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### File Structure
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```
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unified-app/
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├── unified_app.py # Main application
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├── unified_requirements.txt # Python dependencies
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├── unified_Dockerfile # Docker configuration
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├── unified_docker-compose.yml # Docker Compose
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├── static/
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│ └── workflows/ # Workflow JSON files
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├── templates/ # HTML templates
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└── unified_workflows.db # SQLite database
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```
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## 📈 Performance
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### Benchmarks
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- **Search Response Time**: < 100ms average
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- **Database Size**: ~50MB for 2,055 workflows
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- **Memory Usage**: ~200MB RAM
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- **CPU Usage**: Minimal (< 5% average)
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### Optimization Features
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- **SQLite FTS5** for lightning-fast full-text search
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- **Connection pooling** for database efficiency
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- **Async/await** for non-blocking operations
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- **Compressed responses** for faster loading
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- **Caching** for frequently accessed data
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## 🎯 Use Cases
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### For Developers
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- **Workflow Discovery** - Find existing workflows for reference
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- **Integration Research** - See how integrations are used
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- **Pattern Analysis** - Understand common workflow patterns
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- **API Development** - Use the REST API for custom applications
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### For Teams
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- **Knowledge Sharing** - Share workflow knowledge across teams
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- **Best Practices** - Learn from existing workflow patterns
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- **Documentation** - Maintain workflow documentation
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- **Onboarding** - Help new team members understand workflows
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### For Organizations
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- **Asset Management** - Track and manage workflow assets
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- **Compliance** - Monitor workflow usage and patterns
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- **Analytics** - Understand workflow adoption and usage
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- **Planning** - Plan future workflow development
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## 🔍 Search Examples
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### Find AI Workflows
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```bash
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GET /api/workflows?q=OpenAI GPT Claude
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```
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### Find Communication Workflows
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```bash
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GET /api/workflows?q=Telegram Slack Email
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```
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### Find High Complexity Workflows
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```bash
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GET /api/workflows?complexity=high&per_page=50
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```
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### Find Active Webhook Workflows
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```bash
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GET /api/workflows?trigger=Webhook&active_only=true
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```
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### Find E-commerce Workflows
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```bash
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GET /api/workflows?category=E-commerce%20%26%20Retail
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```
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## 🛠️ Development
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### Adding New Features
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1. Modify `unified_app.py` to add new endpoints
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2. Update the database schema if needed
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3. Add new Pydantic models for data validation
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4. Test with the built-in API documentation
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### Customizing Categories
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Edit the `categorize_workflow()` function in `unified_app.py` to add new categorization logic.
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### Adding New Integrations
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The system automatically detects integrations from workflow nodes. No manual configuration needed.
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## 📊 Monitoring
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### Health Checks
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The Docker container includes health checks:
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```bash
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# Check container health
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docker ps
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# View health check logs
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docker logs unified-n8n-workflows
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```
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### Logs
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```bash
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# View application logs
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docker-compose -f unified_docker-compose.yml logs -f
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# View specific service logs
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docker-compose -f unified_docker-compose.yml logs unified-workflows
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```
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## 🔒 Security
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### Best Practices
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- **Database isolation** - SQLite database is isolated
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- **Input validation** - All inputs are validated with Pydantic
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- **SQL injection protection** - Parameterized queries used
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- **File access control** - Limited file system access
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### Production Deployment
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For production use:
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1. Use HTTPS with reverse proxy (nginx)
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2. Implement authentication if needed
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3. Use external database (PostgreSQL/MySQL)
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4. Set up monitoring and logging
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5. Configure backup strategies
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## 🤝 Contributing
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1. Fork the repository
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2. Create a feature branch
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3. Make your changes
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4. Test thoroughly
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5. Submit a pull request
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## 📄 License
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This project is open source and available under the MIT License.
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## 🆘 Support
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For issues and questions:
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1. Check the API documentation at `/docs`
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2. Review the logs for error messages
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3. Test the health check endpoint
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4. Verify the database is properly initialized
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---
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**🚀 Ready to explore 2,055+ workflows with 488+ integrations in one unified system!** |