""" Design Tools for Agent2Robot Core vehicle design and optimization functions """ import json from typing import Dict, List, Any, Optional, Tuple from mcp_client import MCPClient class VehicleDesigner: """Core vehicle design class using MCP integration""" def __init__(self): self.mcp_client = MCPClient() self.design_history = [] def design_vehicle(self, vehicle_type: str, requirements: str) -> Dict[str, Any]: """ Main vehicle design function using MCP client """ # Generate design using MCP (client auto-connects) design_data = self.mcp_client.generate_design(vehicle_type, requirements) # Enhance with additional processing enhanced_design = self._enhance_design(design_data) # Validate design validation = self.mcp_client.validate_design(enhanced_design) enhanced_design["validation"] = validation # Store in history self.design_history.append(enhanced_design) return enhanced_design def design_vehicle_with_simulation(self, vehicle_type: str, requirements: str) -> Tuple[str, str, str]: """ Design vehicle and generate simulation - returns (report, json, simulation) """ # Generate the design design_data = self.design_vehicle(vehicle_type, requirements) # Generate simulation using MCP simulation_info = self.mcp_client.generate_simulation_video(design_data) # Format outputs report = self.format_design_report(design_data) json_output = json.dumps(design_data, indent=2) return report, json_output, simulation_info def _enhance_design(self, base_design: Dict[str, Any]) -> Dict[str, Any]: """Enhance base design with additional specifications""" enhanced = base_design.copy() # Add status and completion info enhanced["status"] = "Design Complete" enhanced["timestamp"] = "2024-MCP-Hackathon" enhanced["design_id"] = f"agent2robot_{len(self.design_history) + 1}" # Add vehicle-specific enhancements vehicle_type = enhanced["vehicle_type"].lower() if "robot" in vehicle_type: enhanced["technical_specs"]["mobility"] = "Wheeled/tracked locomotion" enhanced["technical_specs"]["payload"] = "Up to 50kg capacity" elif "drone" in vehicle_type: enhanced["technical_specs"]["flight_time"] = "45 minutes" enhanced["technical_specs"]["range"] = "5km operational radius" elif "autonomous" in vehicle_type: enhanced["technical_specs"]["passengers"] = "4-8 passenger capacity" enhanced["technical_specs"]["safety"] = "Level 4 autonomous safety" elif "arm" in vehicle_type: enhanced["technical_specs"]["reach"] = "1.5m operational reach" enhanced["technical_specs"]["precision"] = "±0.1mm repeatability" return enhanced def format_design_report(self, design_data: Dict[str, Any]) -> str: """Format design data into human-readable report""" report = f"""šŸ¤–šŸš Agent2Robot Design Results ================================ Vehicle Type: {design_data['vehicle_type']} Requirements: {design_data['requirements']} Design ID: {design_data.get('design_id', 'N/A')} šŸ”§ Design Process Completed: āœ… Requirements analysis āœ… Specification generation āœ… Performance optimization āœ… Design validation āœ… Simulation preparation šŸ“‹ Design Specifications: • Vehicle Type: {design_data['vehicle_type']} • Primary Function: {design_data['requirements']} • Status: {design_data['status']} • Optimization Score: {design_data['optimization_score']}% • Simulation Ready: {design_data.get('simulation_ready', False)} šŸŽÆ Key Features: {chr(10).join(f'• {feature}' for feature in design_data['generated_features'])} šŸ“Š Performance Metrics: • Speed: {design_data['performance_metrics']['speed']} • Efficiency: {design_data['performance_metrics']['efficiency']} • Reliability: {design_data['performance_metrics']['reliability']} • Maintainability: {design_data['performance_metrics']['maintainability']} šŸ”§ Technical Specifications: • Power System: {design_data['technical_specs']['power_system']} • Sensors: {design_data['technical_specs']['sensors']} • Communication: {design_data['technical_specs']['communication']} • Processing: {design_data['technical_specs']['processing']}""" # Add vehicle-specific specs if 'mobility' in design_data['technical_specs']: report += f"\n• Mobility: {design_data['technical_specs']['mobility']}" if 'payload' in design_data['technical_specs']: report += f"\n• Payload: {design_data['technical_specs']['payload']}" if 'flight_time' in design_data['technical_specs']: report += f"\n• Flight Time: {design_data['technical_specs']['flight_time']}" if 'range' in design_data['technical_specs']: report += f"\n• Range: {design_data['technical_specs']['range']}" if 'passengers' in design_data['technical_specs']: report += f"\n• Passengers: {design_data['technical_specs']['passengers']}" if 'safety' in design_data['technical_specs']: report += f"\n• Safety: {design_data['technical_specs']['safety']}" if 'reach' in design_data['technical_specs']: report += f"\n• Reach: {design_data['technical_specs']['reach']}" if 'precision' in design_data['technical_specs']: report += f"\n• Precision: {design_data['technical_specs']['precision']}" report += f""" āœ… Validation Results: • Valid: {design_data['validation']['valid']} • Confidence: {design_data['validation']['confidence']*100:.1f}% • Notes: {design_data['validation']['validation_notes']} šŸš€ Next Steps: 1. Review design specifications 2. āœ… Simulation video generated via MCP 3. Generate manufacturing files 4. Deploy to production environment Design completed successfully! āœ…""" return report def get_design_history(self) -> List[Dict[str, Any]]: """Get history of all designs created""" return self.design_history def get_mcp_status(self) -> Dict[str, Any]: """Get MCP server status""" return self.mcp_client.get_server_info()