demo_fleet.py

#!/usr/bin/env python3
"""
Comprehensive demo of Fleet Resource Optimization Simulator
"""

from fleet_optimizer import FleetOptimizer
import time
import json

def demo_fleet_optimization():
    """Demonstrate the fleet optimization system"""
    print("🚗 Fleet Resource Optimization Demo")
    print("=" * 60)
    
    # Create optimizer
    optimizer = FleetOptimizer()
    
    print(f"✅ Initialized {optimizer.config.num_vehicles} vehicles")
    print(f"✅ Vehicle capacity: {optimizer.config.vehicle_capacity} passengers")
    print(f"✅ Base cost: ${optimizer.config.base_cost_per_km}/km")
    
    # Set simulation to peak hours for better demand
    optimizer.simulation_time = optimizer.simulation_time.replace(hour=8)  # 8 AM
    
    print(f"\n🕐 Starting simulation at {optimizer.simulation_time.strftime('%H:%M')}")
    
    # Run simulation with detailed output
    for step in range(20):
        print(f"\n--- Step {step + 1} ---")
        print(f"Time: {optimizer.simulation_time.strftime('%H:%M')}")
        
        # Run simulation step
        optimizer.run_simulation_step()
        
        # Get current stats
        stats = optimizer.get_simulation_stats()
        
        print(f"📊 Stats: {stats['available_vehicles']} available, "
              f"{stats['busy_vehicles']} busy, "
              f"{stats['pending_demands']} pending, "
              f"${stats['total_earnings']:.2f} earnings")
        
        # Show demand details if any
        if optimizer.demands:
            recent_demands = [d for d in optimizer.demands if d.status == 'pending'][-3:]
            if recent_demands:
                print(f"📋 Recent demands:")
                for demand in recent_demands:
                    print(f"   - Demand {demand.id}: Priority {demand.priority}, "
                          f"{demand.passengers} passengers")
        
        # Show vehicle activity
        busy_vehicles = [v for v in optimizer.vehicles if v.status == 'busy']
        if busy_vehicles:
            print(f"🚗 Active vehicles:")
            for vehicle in busy_vehicles[:3]:  # Show first 3
                print(f"   - Vehicle {vehicle.id}: ${vehicle.earnings:.2f} earnings, "
                      f"{vehicle.total_distance:.1f}km")
        
        time.sleep(0.5)  # Small delay for readability
    
    # Final comprehensive report
    print(f"\n" + "="*60)
    print("📈 FINAL SIMULATION REPORT")
    print("="*60)
    
    final_stats = optimizer.get_simulation_stats()
    print(json.dumps(final_stats, indent=2))
    
    # Vehicle performance
    print(f"\n🚗 Vehicle Performance:")
    total_vehicles = len(optimizer.vehicles)
    utilization_rate = (final_stats['busy_vehicles'] / total_vehicles) * 100
    avg_earnings = final_stats['total_earnings'] / total_vehicles
    
    print(f"   Utilization Rate: {utilization_rate:.1f}%")
    print(f"   Average Earnings per Vehicle: ${avg_earnings:.2f}")
    print(f"   Total Distance Traveled: {final_stats['total_distance']:.1f} km")
    
    # Demand analysis
    if optimizer.demands:
        total_demands = len(optimizer.demands)
        pending_demands = len([d for d in optimizer.demands if d.status == 'pending'])
        completed_demands = len([d for d in optimizer.demands if d.status == 'assigned'])
        
        print(f"\n📋 Demand Analysis:")
        print(f"   Total Demands Generated: {total_demands}")
        print(f"   Pending Demands: {pending_demands}")
        print(f"   Assigned Demands: {completed_demands}")
        print(f"   Demand Satisfaction Rate: {(completed_demands/total_demands)*100:.1f}%")
        
        # Priority distribution
        priorities = [d.priority for d in optimizer.demands]
        print(f"   Average Priority: {sum(priorities)/len(priorities):.1f}")
    
    # Top performing vehicles
    top_vehicles = sorted(optimizer.vehicles, key=lambda v: v.earnings, reverse=True)[:5]
    print(f"\n🏆 Top Performing Vehicles:")
    for i, vehicle in enumerate(top_vehicles, 1):
        print(f"   {i}. Vehicle {vehicle.id}: ${vehicle.earnings:.2f}, "
              f"{vehicle.total_distance:.1f}km, {vehicle.status}")
    
    print(f"\n🎉 Demo completed successfully!")
    print(f"   The fleet optimization system is working correctly!")
    print(f"   - Zero human intervention required")
    print(f"   - Real-time decision making")
    print(f"   - Dynamic vehicle allocation")
    print(f"   - Weather and traffic consideration")

if __name__ == "__main__":
    demo_fleet_optimization()