Agent2Robot / design_tools.py
sam133
οΏ½ Fix MCP status and add simulation video: Auto-connect MCP client, display connected status, add MCP simulation generation functionality
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"""
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"] = "Β±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"""πŸ€–πŸš Agent2Robot Design Results
================================
Vehicle Type: {design_data['vehicle_type']}
Requirements: {design_data['requirements']}
Design ID: {design_data.get('design_id', 'N/A')}
πŸ”§ Design Process Completed:
βœ… Requirements analysis
βœ… Specification generation
βœ… Performance optimization
βœ… Design validation
βœ… Simulation preparation
πŸ“‹ Design Specifications:
β€’ Vehicle Type: {design_data['vehicle_type']}
β€’ Primary Function: {design_data['requirements']}
β€’ Status: {design_data['status']}
β€’ Optimization Score: {design_data['optimization_score']}%
β€’ Simulation Ready: {design_data.get('simulation_ready', False)}
🎯 Key Features:
{chr(10).join(f'β€’ {feature}' for feature in design_data['generated_features'])}
πŸ“Š Performance Metrics:
β€’ Speed: {design_data['performance_metrics']['speed']}
β€’ Efficiency: {design_data['performance_metrics']['efficiency']}
β€’ Reliability: {design_data['performance_metrics']['reliability']}
β€’ Maintainability: {design_data['performance_metrics']['maintainability']}
πŸ”§ Technical Specifications:
β€’ Power System: {design_data['technical_specs']['power_system']}
β€’ Sensors: {design_data['technical_specs']['sensors']}
β€’ Communication: {design_data['technical_specs']['communication']}
β€’ Processing: {design_data['technical_specs']['processing']}"""
# Add vehicle-specific specs
if 'mobility' in design_data['technical_specs']:
report += f"\nβ€’ Mobility: {design_data['technical_specs']['mobility']}"
if 'payload' in design_data['technical_specs']:
report += f"\nβ€’ Payload: {design_data['technical_specs']['payload']}"
if 'flight_time' in design_data['technical_specs']:
report += f"\nβ€’ Flight Time: {design_data['technical_specs']['flight_time']}"
if 'range' in design_data['technical_specs']:
report += f"\nβ€’ Range: {design_data['technical_specs']['range']}"
if 'passengers' in design_data['technical_specs']:
report += f"\nβ€’ Passengers: {design_data['technical_specs']['passengers']}"
if 'safety' in design_data['technical_specs']:
report += f"\nβ€’ Safety: {design_data['technical_specs']['safety']}"
if 'reach' in design_data['technical_specs']:
report += f"\nβ€’ Reach: {design_data['technical_specs']['reach']}"
if 'precision' in design_data['technical_specs']:
report += f"\nβ€’ Precision: {design_data['technical_specs']['precision']}"
report += f"""
βœ… Validation Results:
β€’ Valid: {design_data['validation']['valid']}
β€’ Confidence: {design_data['validation']['confidence']*100:.1f}%
β€’ Notes: {design_data['validation']['validation_notes']}
πŸš€ Next Steps:
1. Review design specifications
2. βœ… Simulation video generated via MCP
3. Generate manufacturing files
4. Deploy to production environment
Design completed successfully! βœ…"""
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()