codenuk_backend_mine/services/ai-mockup-service/src

Prompt to Wireframe - Backend

A Flask-based backend service that generates SVG wireframes from natural language prompts using Claude AI. The system converts user descriptions into precise, scalable vector graphics that can be rendered directly in the frontend.

🚀 Features

• AI-Powered Generation: Uses Claude AI to analyze prompts and create wireframe layouts
• SVG Output: Generates precise SVG wireframes with proper positioning and styling
• Flexible Response Types: Supports both SVG and JSON responses for compatibility
• Real-time Processing: Fast wireframe generation with minimal latency
• Scalable Architecture: Built with Flask for easy deployment and scaling

🏗️ Architecture

Backend Stack

• Flask 3.0 - Web framework
• Claude AI - Natural language processing
• SVG Generation - Vector graphics creation
• Python 3.9+ - Runtime environment

Response System

The backend can generate two types of responses:

1. SVG Response (Primary)

   • Direct SVG content
   • Precise positioning and styling
   • Better frontend rendering performance

2. JSON Response (Fallback)

   • Structured wireframe specifications
   • Compatible with existing frontend logic
   • Used when SVG generation fails

📁 Project Structure

backend/
├── app.py                 # Main Flask application
├── requirements.txt       # Python dependencies
├── run.py                # Application entry point
├── env.example           # Environment variables template
├── start_backend.bat     # Windows startup script
├── start_backend.sh      # Unix startup script
└── test_api.py           # API testing script

🔧 Installation

Prerequisites

• Python 3.9 or higher
• pip package manager
• Claude AI API access

Setup Steps

1. Clone the repository

   git clone <repository-url>
   cd wireframe-tool/tldraw-editor/backend
   

2. Create virtual environment

   python -m venv venv
   
   # Windows
   venv\Scripts\activate
   
   # Unix/Mac
   source venv/bin/activate
   

3. Install dependencies

   pip install -r requirements.txt
   

4. Configure environment

   cp env.example .env
   # Edit .env with your Claude AI API key
   

5. Start the server

   # Windows
   start_backend.bat
   
   # Unix/Mac
   ./start_backend.sh
   
   # Or directly
   python run.py
   

🔌 API Endpoints

Generate Wireframe

POST /generate-wireframe

Generates a wireframe from a natural language prompt.

Request Body

{
  "prompt": "Dashboard with header, sidebar, and 3 stats cards"
}

Response Types

SVG Response (Preferred)

Content-Type: image/svg+xml

<svg width="800" height="600" viewBox="0 0 800 600">
  <!-- SVG wireframe content -->
</svg>

JSON Response (Fallback)

Content-Type: application/json

{
  "success": true,
  "wireframe": {
    "layout": { ... },
    "styling": { ... },
    "annotations": { ... }
  }
}

Health Check

GET /health

Returns server status and health information.

🎯 SVG Generation

SVG Structure

The generated SVGs follow a consistent structure:

<svg width="800" height="600" viewBox="0 0 800 600">
  <defs>
    <!-- Filters, gradients, and definitions -->
  </defs>
  <g>
    <!-- Header section -->
    <rect x="0" y="0" width="800" height="60" fill="#f0f0f0"/>
    <text x="20" y="35">Header</text>
    
    <!-- Sidebar -->
    <rect x="0" y="60" width="200" height="540" fill="#e0e0e0"/>
    
    <!-- Main content -->
    <rect x="220" y="60" width="580" height="540" fill="#ffffff"/>
    
    <!-- Content elements -->
    <rect x="240" y="80" width="160" height="120" fill="#f8f9fa"/>
    <text x="250" y="100">Stats Card 1</text>
  </g>
</svg>

Element Types Supported

• Rectangles: Header, sidebar, content areas, cards
• Text: Labels, titles, descriptions
• Groups: Logical sections and containers
• Paths: Complex shapes and icons
• Circles/Ellipses: Icons and decorative elements

🤖 AI Integration

Claude AI Processing

The backend uses Claude AI to:

1. Analyze Prompts: Understand user requirements
2. Generate Layouts: Create logical wireframe structures
3. Apply UX Principles: Follow design best practices
4. Output SVG: Generate precise vector graphics

Prompt Processing Flow

User Prompt → Claude AI → Layout Analysis → SVG Generation → Response

Example Prompts

• "Dashboard with header, left sidebar, 3 stats cards, line chart, and footer"
• "Landing page with hero section, feature grid, and contact form"
• "E-commerce product page with image gallery and product details"

🔧 Configuration

Environment Variables

# Claude AI Configuration
CLAUDE_API_KEY=your_api_key_here
CLAUDE_MODEL=claude-3-sonnet-20240229

# Server Configuration
FLASK_ENV=development
FLASK_DEBUG=True
PORT=5000

# CORS Configuration
CORS_ORIGINS=http://localhost:3001,http://127.0.0.1:3001

API Configuration

# app.py
app.config['CLAUDE_API_KEY'] = os.getenv('CLAUDE_API_KEY')
app.config['CLAUDE_MODEL'] = os.getenv('CLAUDE_MODEL', 'claude-3-sonnet-20240229')
app.config['MAX_PROMPT_LENGTH'] = 1000

🚀 Deployment

Development

python run.py
# Server runs on http://localhost:5000

Production

# Using Gunicorn
gunicorn -w 4 -b 0.0.0.0:5000 run:app

# Using uWSGI
uwsgi --http :5000 --module run:app

Docker Deployment

FROM python:3.9-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY . .
EXPOSE 5000
CMD ["python", "run.py"]

🧪 Testing

API Testing

python test_api.py

Manual Testing

# Test with curl
curl -X POST http://localhost:5000/generate-wireframe \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Simple dashboard with header and sidebar"}'

# Test health endpoint
curl http://localhost:5000/health

Load Testing

# Using Apache Bench
ab -n 100 -c 10 -p test_data.json \
  -T application/json \
  http://localhost:5000/generate-wireframe

📊 Monitoring

Health Checks

• Server status monitoring
• API response time tracking
• Error rate monitoring
• Resource usage tracking

Logging

import logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

@app.route('/generate-wireframe', methods=['POST'])
def generate_wireframe():
    logger.info(f"Received prompt: {request.json.get('prompt', '')[:100]}...")
    # ... processing logic

🔒 Security

API Key Management

• Secure storage of Claude AI API keys
• Environment variable protection
• Key rotation support

Input Validation

• Prompt length limits
• Content sanitization
• Rate limiting support

CORS Configuration

from flask_cors import CORS

CORS(app, origins=os.getenv('CORS_ORIGINS', '').split(','))

🐛 Troubleshooting

Common Issues

1. Claude AI API Errors

   • Verify API key is valid
   • Check API quota and limits
   • Ensure proper model access

2. SVG Generation Failures

   • Check prompt complexity
   • Verify SVG output format
   • Review error logs

3. Performance Issues

   • Monitor response times
   • Check server resources
   • Optimize AI model usage

Debug Mode

Enable debug logging:

app.config['DEBUG'] = True
logging.getLogger().setLevel(logging.DEBUG)

📈 Performance Optimization

Caching Strategies

• Response caching for similar prompts
• SVG template caching
• AI response caching

Async Processing

• Background SVG generation
• Queue-based processing
• WebSocket updates

Resource Management

• Connection pooling
• Memory optimization
• CPU usage monitoring

🔮 Future Enhancements

Planned Features

• Template System: Pre-built wireframe templates
• Custom Styling: User-defined color schemes
• Export Options: PNG, PDF, and other formats
• Collaboration: Real-time editing and sharing
• Version Control: Wireframe history and branching

Scalability Improvements

• Microservices: Separate AI and SVG services
• Load Balancing: Multiple backend instances
• CDN Integration: Global content delivery
• Database Storage: Wireframe persistence

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Implement your changes
4. Add tests and documentation
5. Submit a pull request

Development Guidelines

• Follow PEP 8 style guidelines
• Add type hints for new functions
• Include docstrings for all functions
• Write tests for new features

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🆘 Support

For support and questions:

• Create an issue in the repository
• Check the troubleshooting section
• Review the frontend documentation
• Contact the development team

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Note: This backend service is designed to work with the Prompt to Wireframe frontend application, providing SVG wireframe generation capabilities through Claude AI integration.