// services/VehicleManager.js
import Bookovia from '@bookovia/javascript-sdk';

export class VehicleManager {
  constructor(apiKey) {
    this.client = new Bookovia({ apiKey });
    this.vehicles = new Map();
    this.maintenanceScheduler = new MaintenanceScheduler();
  }
  
  async registerVehicle(vehicleData) {
    const vehicle = {
      id: vehicleData.id,
      vin: vehicleData.vin,
      make: vehicleData.make,
      model: vehicleData.model,
      year: vehicleData.year,
      license_plate: vehicleData.license_plate,
      specifications: {
        fuel_type: vehicleData.fuel_type,
        engine_size: vehicleData.engine_size,
        capacity: vehicleData.capacity,
        max_weight: vehicleData.max_weight
      },
      maintenance: {
        next_service_date: vehicleData.next_service_date,
        last_service_odometer: vehicleData.last_service_odometer,
        service_interval_km: vehicleData.service_interval_km || 10000
      },
      status: 'available',
      location: null,
      current_driver: null,
      odometer: vehicleData.odometer || 0
    };
    
    try {
      const response = await this.client.fleet.registerVehicle(vehicle);
      this.vehicles.set(vehicle.id, vehicle);
      
      // Schedule maintenance reminders
      this.maintenanceScheduler.scheduleVehicleMaintenance(vehicle);
      
      return response;
    } catch (error) {
      console.error('Vehicle registration failed:', error);
      throw error;
    }
  }
  
  async updateVehicleStatus(vehicleId, status, metadata = {}) {
    const vehicle = this.vehicles.get(vehicleId);
    if (!vehicle) throw new Error('Vehicle not found');
    
    const statusUpdate = {
      vehicle_id: vehicleId,
      status: status,
      timestamp: new Date().toISOString(),
      metadata: {
        previous_status: vehicle.status,
        location: vehicle.location,
        odometer: vehicle.odometer,
        ...metadata
      }
    };
    
    try {
      await this.client.fleet.updateVehicleStatus(statusUpdate);
      
      vehicle.status = status;
      vehicle.status_updated = new Date().toISOString();
      
      // Trigger status-based actions
      this.handleStatusChange(vehicle, status);
      
      return statusUpdate;
    } catch (error) {
      console.error('Status update failed:', error);
      throw error;
    }
  }
  
  handleStatusChange(vehicle, newStatus) {
    switch (newStatus) {
      case 'maintenance':
        this.scheduleMaintenanceWindow(vehicle);
        break;
      case 'breakdown':
        this.handleBreakdown(vehicle);
        break;
      case 'available':
        this.notifyDispatchAvailable(vehicle);
        break;
      case 'out_of_service':
        this.handleOutOfService(vehicle);
        break;
    }
  }
  
  async getVehicleUtilization(vehicleId, period = '30d') {
    const utilizationData = await this.client.analytics.getVehicleUtilization({
      vehicle_id: vehicleId,
      period: period,
      metrics: ['active_hours', 'distance', 'trips', 'idle_time']
    });
    
    const vehicle = this.vehicles.get(vehicleId);
    const totalHours = this.getPeriodHours(period);
    
    return {
      vehicle_id: vehicleId,
      period: period,
      utilization_rate: utilizationData.active_hours / totalHours,
      efficiency_metrics: {
        avg_trips_per_day: utilizationData.trips / this.getPeriodDays(period),
        avg_distance_per_trip: utilizationData.distance / utilizationData.trips,
        idle_time_percentage: utilizationData.idle_time / utilizationData.active_hours,
        fuel_efficiency: await this.calculateFuelEfficiency(vehicleId, period)
      },
      recommendations: this.generateUtilizationRecommendations(utilizationData, vehicle)
    };
  }
  
  generateUtilizationRecommendations(data, vehicle) {
    const recommendations = [];
    
    // Low utilization
    if (data.active_hours / this.getPeriodHours('30d') < 0.3) {
      recommendations.push({
        type: 'underutilized',
        priority: 'high',
        message: 'Vehicle utilization is below 30%. Consider reassignment or fleet reduction.',
        action: 'reassign_routes'
      });
    }
    
    // High idle time
    if (data.idle_time / data.active_hours > 0.4) {
      recommendations.push({
        type: 'high_idle',
        priority: 'medium',
        message: 'High idle time detected. Review routes and driver behavior.',
        action: 'optimize_routes'
      });
    }
    
    // Maintenance due
    const nextMaintenance = new Date(vehicle.maintenance.next_service_date);
    const daysToMaintenance = (nextMaintenance - new Date()) / (1000 * 60 * 60 * 24);
    
    if (daysToMaintenance <= 7) {
      recommendations.push({
        type: 'maintenance_due',
        priority: 'urgent',
        message: `Maintenance due in ${Math.ceil(daysToMaintenance)} days`,
        action: 'schedule_maintenance'
      });
    }
    
    return recommendations;
  }
}

// services/RouteOptimizer.js
export class RouteOptimizer {
  constructor(bookoviaClient) {
    this.client = bookoviaClient;
    this.optimizationCache = new Map();
    this.trafficService = new TrafficService();
  }
  
  async optimizeRoutes(deliveries, vehicles, constraints = {}) {
    const optimizationRequest = {
      deliveries: deliveries.map(delivery => ({
        id: delivery.id,
        location: delivery.location,
        time_window: delivery.time_window,
        duration: delivery.estimated_duration || 15, // minutes
        priority: delivery.priority || 'normal',
        requirements: delivery.requirements || {}
      })),
      vehicles: vehicles.map(vehicle => ({
        id: vehicle.id,
        location: vehicle.current_location,
        capacity: vehicle.capacity,
        max_distance: vehicle.max_distance_per_day || 500,
        max_duration: vehicle.max_hours_per_day || 480, // minutes
        skills: vehicle.driver_skills || [],
        cost_per_km: vehicle.cost_per_km || 0.5
      })),
      constraints: {
        max_routes: constraints.max_routes || vehicles.length,
        optimization_goal: constraints.goal || 'minimize_time',
        traffic_enabled: constraints.traffic_enabled !== false,
        break_duration: constraints.break_duration || 30,
        max_route_duration: constraints.max_route_duration || 480,
        ...constraints
      }
    };
    
    try {
      // Check cache first
      const cacheKey = this.generateCacheKey(optimizationRequest);
      if (this.optimizationCache.has(cacheKey)) {
        return this.optimizationCache.get(cacheKey);
      }
      
      // Get real-time traffic data
      const trafficData = await this.trafficService.getCurrentTrafficData(
        this.extractLocations(optimizationRequest)
      );
      
      // Send to Bookovia optimization engine
      const optimization = await this.client.routing.optimize({
        ...optimizationRequest,
        traffic_data: trafficData,
        real_time: true
      });
      
      // Process and enhance results
      const enhancedRoutes = await this.enhanceRoutes(optimization.routes);
      
      // Cache results for 5 minutes
      this.optimizationCache.set(cacheKey, enhancedRoutes);
      setTimeout(() => this.optimizationCache.delete(cacheKey), 5 * 60 * 1000);
      
      return enhancedRoutes;
    } catch (error) {
      console.error('Route optimization failed:', error);
      throw error;
    }
  }
  
  async enhanceRoutes(routes) {
    const enhancedRoutes = await Promise.all(
      routes.map(async (route) => {
        // Calculate detailed metrics
        const metrics = await this.calculateRouteMetrics(route);
        
        // Get weather forecast for route
        const weather = await this.getWeatherForecast(route.waypoints);
        
        // Identify potential issues
        const risks = this.identifyRouteRisks(route, weather);
        
        return {
          ...route,
          metrics,
          weather_forecast: weather,
          risk_assessment: risks,
          recommendations: this.generateRouteRecommendations(route, metrics, risks)
        };
      })
    );
    
    return enhancedRoutes;
  }
  
  calculateRouteMetrics(route) {
    return {
      total_distance: route.waypoints.reduce((sum, wp, i) => 
        i > 0 ? sum + this.calculateDistance(route.waypoints[i-1].location, wp.location) : sum, 0
      ),
      estimated_duration: route.waypoints.reduce((sum, wp) => sum + wp.duration, 0),
      fuel_consumption: this.estimateFuelConsumption(route),
      carbon_footprint: this.calculateCarbonFootprint(route),
      cost_estimate: this.calculateRouteCost(route),
      difficulty_score: this.assessRouteDifficulty(route)
    };
  }
  
  identifyRouteRisks(route, weather) {
    const risks = [];
    
    // Weather risks
    if (weather.precipitation_probability > 0.7) {
      risks.push({
        type: 'weather',
        severity: 'medium',
        message: 'High probability of precipitation',
        impact: 'Delivery delays possible'
      });
    }
    
    // Traffic risks
    const rushhourWindows = [
      { start: '07:00', end: '09:00' },
      { start: '17:00', end: '19:00' }
    ];
    
    rushhourWindows.forEach(window => {
      if (this.routeOverlapsTimeWindow(route, window)) {
        risks.push({
          type: 'traffic',
          severity: 'high',
          message: 'Route passes through rush hour',
          impact: 'Significant delays expected'
        });
      }
    });
    
    // Capacity risks
    const totalWeight = route.deliveries.reduce((sum, d) => sum + (d.weight || 0), 0);
    if (totalWeight > route.vehicle.capacity * 0.95) {
      risks.push({
        type: 'capacity',
        severity: 'high',
        message: 'Near capacity limit',
        impact: 'Vehicle overloading risk'
      });
    }
    
    return risks;
  }
  
  generateRouteRecommendations(route, metrics, risks) {
    const recommendations = [];
    
    // Fuel efficiency recommendations
    if (metrics.fuel_consumption > metrics.estimated_fuel * 1.2) {
      recommendations.push({
        type: 'fuel_efficiency',
        priority: 'medium',
        message: 'Consider eco-driving training for assigned driver',
        potential_savings: '15-20% fuel reduction'
      });
    }
    
    // Route timing recommendations
    if (risks.some(r => r.type === 'traffic')) {
      recommendations.push({
        type: 'timing',
        priority: 'high',
        message: 'Start route 30 minutes earlier to avoid rush hour',
        potential_savings: '20-30 minutes'
      });
    }
    
    // Alternative routes
    if (metrics.difficulty_score > 7) {
      recommendations.push({
        type: 'alternative_route',
        priority: 'low',
        message: 'Consider alternative route for less experienced drivers',
        trade_off: '+5 minutes, -40% difficulty'
      });
    }
    
    return recommendations;
  }
  
  async reoptimizeRoute(routeId, newConstraints) {
    const existingRoute = await this.client.routing.getRoute(routeId);
    const currentProgress = await this.client.trips.getCurrentProgress(routeId);
    
    // Remove completed deliveries
    const remainingDeliveries = existingRoute.deliveries.filter(
      delivery => !currentProgress.completed_deliveries.includes(delivery.id)
    );
    
    // Get current vehicle location
    const vehicleLocation = currentProgress.current_location;
    
    // Reoptimize remaining route
    const reoptimizedRoute = await this.optimizeRoutes(
      remainingDeliveries,
      [{ ...existingRoute.vehicle, current_location: vehicleLocation }],
      newConstraints
    );
    
    return reoptimizedRoute[0];
  }
}

// Traffic integration service
class TrafficService {
  constructor() {
    this.trafficProviders = ['google_traffic', 'here_traffic', 'tomtom_traffic'];
  }
  
  async getCurrentTrafficData(locations) {
    const trafficData = await Promise.all(
      this.trafficProviders.map(provider => 
        this.fetchTrafficData(provider, locations)
      )
    );
    
    // Aggregate and validate traffic data
    return this.aggregateTrafficData(trafficData);
  }
  
  async fetchTrafficData(provider, locations) {
    // Implementation would fetch from specific traffic provider
    // Returns traffic conditions, incidents, and estimated delays
  }
  
  aggregateTrafficData(trafficDataArray) {
    // Combine data from multiple providers for better accuracy
    // Return consensus traffic conditions
  }
}

// services/PredictiveMaintenance.js
export class PredictiveMaintenance {
  constructor(bookoviaClient) {
    this.client = bookoviaClient;
    this.mlModels = new Map();
    this.thresholds = this.getMaintenanceThresholds();
  }
  
  async analyzeMaintenance(vehicleId, timeframe = '30d') {
    try {
      // Gather telemetry data
      const telemetryData = await this.client.analytics.getVehicleTelemetry({
        vehicle_id: vehicleId,
        period: timeframe,
        metrics: [
          'engine_temperature',
          'oil_pressure',
          'fuel_consumption',
          'vibration_levels',
          'brake_pad_wear',
          'tire_pressure',
          'battery_voltage',
          'coolant_temperature',
          'transmission_temperature'
        ]
      });
      
      // Get maintenance history
      const maintenanceHistory = await this.client.maintenance.getHistory({
        vehicle_id: vehicleId,
        limit: 50
      });
      
      // Analyze patterns and predict issues
      const predictions = await this.predictMaintenanceNeeds(
        telemetryData,
        maintenanceHistory
      );
      
      // Generate maintenance schedule
      const schedule = this.generateMaintenanceSchedule(vehicleId, predictions);
      
      // Calculate cost implications
      const costAnalysis = this.calculateMaintenanceCosts(predictions, schedule);
      
      return {
        vehicle_id: vehicleId,
        analysis_date: new Date().toISOString(),
        predictions,
        recommended_schedule: schedule,
        cost_analysis: costAnalysis,
        urgency_level: this.calculateUrgencyLevel(predictions)
      };
      
    } catch (error) {
      console.error('Maintenance analysis failed:', error);
      throw error;
    }
  }
  
  async predictMaintenanceNeeds(telemetryData, maintenanceHistory) {
    const predictions = [];
    
    // Engine analysis
    const enginePrediction = await this.analyzeEngineHealth(telemetryData);
    if (enginePrediction.risk_score > 0.3) {
      predictions.push(enginePrediction);
    }
    
    // Brake system analysis
    const brakePrediction = await this.analyzeBrakeSystem(telemetryData);
    if (brakePrediction.risk_score > 0.25) {
      predictions.push(brakePrediction);
    }
    
    // Transmission analysis
    const transmissionPrediction = await this.analyzeTransmission(telemetryData);
    if (transmissionPrediction.risk_score > 0.2) {
      predictions.push(transmissionPrediction);
    }
    
    // Tire analysis
    const tirePrediction = await this.analyzeTires(telemetryData);
    if (tirePrediction.risk_score > 0.4) {
      predictions.push(tirePrediction);
    }
    
    // Battery analysis
    const batteryPrediction = await this.analyzeBattery(telemetryData);
    if (batteryPrediction.risk_score > 0.35) {
      predictions.push(batteryPrediction);
    }
    
    return predictions.sort((a, b) => b.risk_score - a.risk_score);
  }
  
  async analyzeEngineHealth(telemetryData) {
    const engineData = telemetryData.filter(d => 
      d.metric === 'engine_temperature' || 
      d.metric === 'oil_pressure' ||
      d.metric === 'fuel_consumption'
    );
    
    // Analyze temperature patterns
    const temperatureAnomalies = this.detectAnomalies(
      engineData.filter(d => d.metric === 'engine_temperature'),
      this.thresholds.engine_temperature
    );
    
    // Analyze oil pressure trends
    const oilPressureIssues = this.detectTrends(
      engineData.filter(d => d.metric === 'oil_pressure'),
      'declining'
    );
    
    // Analyze fuel consumption efficiency
    const fuelEfficiencyDegraded = this.detectEfficiencyDegradation(
      engineData.filter(d => d.metric === 'fuel_consumption')
    );
    
    const riskFactors = [
      temperatureAnomalies.severity * 0.4,
      oilPressureIssues.severity * 0.4,
      fuelEfficiencyDegraded.severity * 0.2
    ];
    
    const riskScore = riskFactors.reduce((sum, factor) => sum + factor, 0);
    
    return {
      component: 'engine',
      risk_score: riskScore,
      predicted_failure_window: this.calculateFailureWindow(riskScore, 'engine'),
      symptoms: [
        ...temperatureAnomalies.symptoms,
        ...oilPressureIssues.symptoms,
        ...fuelEfficiencyDegraded.symptoms
      ],
      recommended_actions: this.getEngineMaintenanceActions(riskScore),
      cost_estimate: this.estimateEngineMaintenance(riskScore)
    };
  }
  
  async analyzeBrakeSystem(telemetryData) {
    const brakeData = telemetryData.filter(d => 
      d.metric === 'brake_pad_wear' || 
      d.metric === 'braking_force' ||
      d.metric === 'brake_temperature'
    );
    
    // Analyze brake pad wear rate
    const wearRate = this.calculateWearRate(
      brakeData.filter(d => d.metric === 'brake_pad_wear')
    );
    
    // Predict remaining brake pad life
    const remainingLife = this.predictRemainingLife(wearRate, 'brake_pads');
    
    // Analyze braking performance degradation
    const performanceDegradation = this.analyzeBrakingPerformance(brakeData);
    
    const riskScore = this.calculateBrakeRiskScore(
      wearRate, 
      remainingLife, 
      performanceDegradation
    );
    
    return {
      component: 'brake_system',
      risk_score: riskScore,
      predicted_failure_window: remainingLife,
      wear_rate: wearRate,
      remaining_life_km: remainingLife.distance_km,
      symptoms: this.getBrakeSymptoms(performanceDegradation),
      recommended_actions: this.getBrakeMaintenanceActions(riskScore),
      cost_estimate: this.estimateBrakeMaintenance(riskScore)
    };
  }
  
  generateMaintenanceSchedule(vehicleId, predictions) {
    const schedule = [];
    
    predictions.forEach(prediction => {
      const maintenanceItem = {
        vehicle_id: vehicleId,
        component: prediction.component,
        priority: this.getPriorityLevel(prediction.risk_score),
        scheduled_date: this.calculateScheduleDate(prediction),
        estimated_duration: this.getMaintenanceDuration(prediction.component),
        required_parts: this.getRequiredParts(prediction.component),
        estimated_cost: prediction.cost_estimate,
        description: `${prediction.component} maintenance - Risk level: ${prediction.risk_score.toFixed(2)}`
      };
      
      schedule.push(maintenanceItem);
    });
    
    // Sort by priority and scheduled date
    return schedule.sort((a, b) => {
      if (a.priority !== b.priority) {
        return this.getPriorityWeight(a.priority) - this.getPriorityWeight(b.priority);
      }
      return new Date(a.scheduled_date) - new Date(b.scheduled_date);
    });
  }
  
  calculateMaintenanceCosts(predictions, schedule) {
    const preventiveCosts = schedule.reduce((sum, item) => sum + item.estimated_cost, 0);
    
    // Calculate potential breakdown costs if maintenance is delayed
    const breakdownCosts = predictions.map(prediction => {
      const breakdownCost = this.estimateBreakdownCost(prediction.component);
      const downtimeCost = this.estimateDowntimeCost(prediction.component);
      return breakdownCost + downtimeCost;
    });
    
    const totalBreakdownRisk = breakdownCosts.reduce((sum, cost) => sum + cost, 0);
    
    return {
      preventive_maintenance_cost: preventiveCosts,
      potential_breakdown_cost: totalBreakdownRisk,
      cost_savings: totalBreakdownRisk - preventiveCosts,
      roi_percentage: ((totalBreakdownRisk - preventiveCosts) / preventiveCosts) * 100,
      payback_period_months: this.calculatePaybackPeriod(preventiveCosts, totalBreakdownRisk)
    };
  }
  
  async scheduleMaintenance(vehicleId, maintenanceItems) {
    try {
      // Check maintenance facility availability
      const facilities = await this.client.maintenance.getAvailableFacilities({
        location: await this.getVehicleLocation(vehicleId),
        radius: 50, // 50km radius
        services: maintenanceItems.map(item => item.component)
      });
      
      // Schedule maintenance appointments
      const appointments = [];
      
      for (const item of maintenanceItems) {
        const facility = this.selectOptimalFacility(facilities, item);
        
        const appointment = await this.client.maintenance.scheduleAppointment({
          vehicle_id: vehicleId,
          facility_id: facility.id,
          service_type: item.component,
          preferred_date: item.scheduled_date,
          estimated_duration: item.estimated_duration,
          parts_required: item.required_parts,
          notes: item.description
        });
        
        appointments.push(appointment);
      }
      
      // Update vehicle maintenance schedule
      await this.client.fleet.updateMaintenanceSchedule({
        vehicle_id: vehicleId,
        appointments: appointments
      });
      
      return appointments;
    } catch (error) {
      console.error('Maintenance scheduling failed:', error);
      throw error;
    }
  }
  
  getMaintenanceThresholds() {
    return {
      engine_temperature: { min: 85, max: 105, critical: 115 },
      oil_pressure: { min: 20, max: 80, critical: 10 },
      brake_pad_wear: { warning: 0.3, critical: 0.1 },
      tire_pressure: { min: 30, max: 35, critical_low: 25, critical_high: 40 },
      battery_voltage: { min: 12.0, max: 14.4, critical: 11.5 },
      vibration_levels: { normal: 0.5, warning: 1.0, critical: 1.5 }
    };
  }
}

// services/DriverManager.js
export class DriverManager {
  constructor(bookoviaClient) {
    this.client = bookoviaClient;
    this.behaviorAnalyzer = new BehaviorAnalyzer();
    this.coachingEngine = new CoachingEngine();
  }
  
  async analyzeDriverPerformance(driverId, period = '30d') {
    try {
      // Fetch comprehensive driver data
      const [
        safetyMetrics,
        tripData,
        behaviorAnalysis,
        complianceRecord
      ] = await Promise.all([
        this.client.analytics.getSafetyMetrics({
          driver_id: driverId,
          period: period
        }),
        this.client.trips.getDriverTrips({
          driver_id: driverId,
          period: period,
          include_details: true
        }),
        this.client.analytics.getBehaviorAnalysis({
          driver_id: driverId,
          period: period
        }),
        this.client.compliance.getDriverRecord({
          driver_id: driverId,
          period: period
        })
      ]);
      
      // Analyze performance trends
      const performanceTrends = this.analyzePerformanceTrends(
        safetyMetrics, 
        tripData, 
        behaviorAnalysis
      );
      
      // Generate coaching recommendations
      const coachingRecommendations = await this.coachingEngine.generateRecommendations(
        driverId,
        performanceTrends,
        behaviorAnalysis
      );
      
      // Calculate performance scores
      const performanceScores = this.calculatePerformanceScores(
        safetyMetrics,
        behaviorAnalysis,
        complianceRecord
      );
      
      // Identify risk factors
      const riskAssessment = this.assessDriverRisk(
        performanceTrends,
        behaviorAnalysis,
        complianceRecord
      );
      
      return {
        driver_id: driverId,
        analysis_period: period,
        performance_scores: performanceScores,
        trends: performanceTrends,
        risk_assessment: riskAssessment,
        coaching_recommendations: coachingRecommendations,
        compliance_status: complianceRecord.status,
        improvement_goals: this.generateImprovementGoals(performanceScores, coachingRecommendations)
      };
      
    } catch (error) {
      console.error('Driver performance analysis failed:', error);
      throw error;
    }
  }
  
  calculatePerformanceScores(safetyMetrics, behaviorAnalysis, complianceRecord) {
    // Safety Score (0-100)
    const safetyScore = {
      overall: safetyMetrics.safety_score,
      harsh_events: this.calculateHarshEventScore(behaviorAnalysis.harsh_events),
      speeding: this.calculateSpeedingScore(behaviorAnalysis.speeding_violations),
      phone_usage: this.calculatePhoneUsageScore(behaviorAnalysis.phone_usage),
      trend: safetyMetrics.trend_30d
    };
    
    // Efficiency Score (0-100)
    const efficiencyScore = {
      fuel_efficiency: this.calculateFuelEfficiencyScore(behaviorAnalysis.fuel_consumption),
      route_adherence: this.calculateRouteAdherenceScore(behaviorAnalysis.route_deviations),
      idle_time: this.calculateIdleTimeScore(behaviorAnalysis.idle_time),
      on_time_performance: this.calculateOnTimeScore(behaviorAnalysis.delivery_performance)
    };
    
    // Compliance Score (0-100)
    const complianceScore = {
      hours_of_service: complianceRecord.hos_compliance_rate,
      vehicle_inspection: complianceRecord.inspection_compliance_rate,
      documentation: complianceRecord.documentation_compliance_rate,
      training_completion: complianceRecord.training_completion_rate
    };
    
    // Calculate weighted overall score
    const overallScore = (
      safetyScore.overall * 0.5 +
      this.calculateEfficiencyOverall(efficiencyScore) * 0.3 +
      this.calculateComplianceOverall(complianceScore) * 0.2
    );
    
    return {
      overall: Math.round(overallScore),
      safety: safetyScore,
      efficiency: efficiencyScore,
      compliance: complianceScore,
      ranking: {
        fleet_percentile: safetyMetrics.fleet_percentile,
        improvement_from_last_period: this.calculateImprovement(safetyMetrics)
      }
    };
  }
  
  analyzePerformanceTrends(safetyMetrics, tripData, behaviorAnalysis) {
    const timeSeriesData = this.createTimeSeriesData(safetyMetrics, tripData);
    
    return {
      safety_trend: {
        direction: this.calculateTrendDirection(timeSeriesData.safety_scores),
        slope: this.calculateTrendSlope(timeSeriesData.safety_scores),
        stability: this.calculateStability(timeSeriesData.safety_scores),
        forecast: this.forecastTrend(timeSeriesData.safety_scores, 30) // 30 days
      },
      efficiency_trend: {
        fuel_consumption: this.analyzeFuelTrend(timeSeriesData.fuel_data),
        idle_time: this.analyzeIdleTrend(timeSeriesData.idle_data),
        route_efficiency: this.analyzeRouteTrend(timeSeriesData.route_data)
      },
      behavioral_patterns: {
        time_of_day: this.analyzeTimeOfDayPatterns(behaviorAnalysis),
        day_of_week: this.analyzeDayOfWeekPatterns(behaviorAnalysis),
        weather_impact: this.analyzeWeatherImpact(behaviorAnalysis, tripData),
        route_familiarity: this.analyzeRouteFamiliarity(tripData)
      }
    };
  }
  
  assessDriverRisk(trends, behaviorAnalysis, complianceRecord) {
    const riskFactors = [];
    
    // Declining safety performance
    if (trends.safety_trend.direction === 'declining' && trends.safety_trend.slope < -0.5) {
      riskFactors.push({
        type: 'declining_safety',
        severity: 'high',
        description: 'Safety performance declining rapidly',
        impact: 'Increased accident risk',
        mitigation: 'Immediate coaching intervention required'
      });
    }
    
    // High harsh event frequency
    const harshEventRate = behaviorAnalysis.harsh_events.total / behaviorAnalysis.total_trips;
    if (harshEventRate > 0.15) { // More than 15% of trips have harsh events
      riskFactors.push({
        type: 'aggressive_driving',
        severity: 'medium',
        description: 'High frequency of harsh driving events',
        impact: 'Vehicle wear, fuel consumption, safety risk',
        mitigation: 'Defensive driving training'
      });
    }
    
    // Compliance violations
    if (complianceRecord.violations.length > 0) {
      const criticalViolations = complianceRecord.violations.filter(v => v.severity === 'critical');
      if (criticalViolations.length > 0) {
        riskFactors.push({
          type: 'compliance_violation',
          severity: 'critical',
          description: `${criticalViolations.length} critical compliance violation(s)`,
          impact: 'Regulatory penalties, license suspension risk',
          mitigation: 'Immediate compliance training and monitoring'
        });
      }
    }
    
    // Fatigue indicators
    const fatigueRisk = this.assessFatigueRisk(behaviorAnalysis, trends);
    if (fatigueRisk.level === 'high') {
      riskFactors.push({
        type: 'fatigue_risk',
        severity: 'high',
        description: 'Signs of driver fatigue detected',
        impact: 'Significantly increased accident risk',
        mitigation: 'Schedule adjustment and rest period enforcement'
      });
    }
    
    // Calculate overall risk level
    const riskLevel = this.calculateOverallRiskLevel(riskFactors);
    
    return {
      overall_risk_level: riskLevel,
      risk_factors: riskFactors,
      risk_score: this.calculateRiskScore(riskFactors),
      recommended_interventions: this.generateRiskMitigationPlan(riskFactors)
    };
  }
  
  async generateCoachingPlan(driverId, performanceAnalysis) {
    const coachingPlan = {
      driver_id: driverId,
      plan_date: new Date().toISOString(),
      focus_areas: [],
      training_modules: [],
      goals: [],
      timeline: '90d'
    };
    
    // Identify focus areas based on performance gaps
    if (performanceAnalysis.performance_scores.safety.overall < 80) {
      coachingPlan.focus_areas.push({
        area: 'safety_improvement',
        priority: 'high',
        current_score: performanceAnalysis.performance_scores.safety.overall,
        target_score: 85,
        specific_issues: this.identifySafetyIssues(performanceAnalysis)
      });
    }
    
    if (performanceAnalysis.performance_scores.efficiency.fuel_efficiency < 70) {
      coachingPlan.focus_areas.push({
        area: 'fuel_efficiency',
        priority: 'medium',
        current_score: performanceAnalysis.performance_scores.efficiency.fuel_efficiency,
        target_score: 80,
        specific_issues: ['excessive_idling', 'aggressive_acceleration']
      });
    }
    
    // Generate specific training modules
    coachingPlan.training_modules = await this.selectTrainingModules(
      performanceAnalysis,
      coachingPlan.focus_areas
    );
    
    // Set SMART goals
    coachingPlan.goals = this.generateSMARTGoals(
      performanceAnalysis,
      coachingPlan.focus_areas
    );
    
    return coachingPlan;
  }
  
  async trackCoachingProgress(driverId, coachingPlanId) {
    const coachingPlan = await this.client.coaching.getCoachingPlan(coachingPlanId);
    const currentPerformance = await this.analyzeDriverPerformance(driverId, '7d');
    
    const progress = {
      plan_id: coachingPlanId,
      driver_id: driverId,
      assessment_date: new Date().toISOString(),
      goal_progress: [],
      overall_progress: 0,
      next_steps: []
    };
    
    // Evaluate progress on each goal
    for (const goal of coachingPlan.goals) {
      const goalProgress = this.evaluateGoalProgress(goal, currentPerformance);
      progress.goal_progress.push(goalProgress);
    }
    
    // Calculate overall progress
    progress.overall_progress = progress.goal_progress.reduce(
      (sum, gp) => sum + gp.progress_percentage, 0
    ) / progress.goal_progress.length;
    
    // Generate next steps based on progress
    progress.next_steps = this.generateNextSteps(progress, coachingPlan);
    
    // Update coaching plan if needed
    if (progress.overall_progress > 80) {
      progress.recommendation = 'advance_to_next_level';
    } else if (progress.overall_progress < 20) {
      progress.recommendation = 'intensive_intervention_needed';
    }
    
    return progress;
  }
}

// Behavior Analysis Engine
class BehaviorAnalyzer {
  analyzeTimeOfDayPatterns(behaviorData) {
    const hourlyPatterns = {};
    
    // Group events by hour of day
    behaviorData.events.forEach(event => {
      const hour = new Date(event.timestamp).getHours();
      if (!hourlyPatterns[hour]) {
        hourlyPatterns[hour] = { total_events: 0, harsh_events: 0, speeding: 0 };
      }
      
      hourlyPatterns[hour].total_events++;
      if (event.type.includes('harsh')) {
        hourlyPatterns[hour].harsh_events++;
      }
      if (event.type === 'speeding') {
        hourlyPatterns[hour].speeding++;
      }
    });
    
    // Identify peak risk periods
    const riskPeriods = Object.entries(hourlyPatterns)
      .map(([hour, data]) => ({
        hour: parseInt(hour),
        risk_score: (data.harsh_events + data.speeding) / data.total_events,
        event_count: data.total_events
      }))
      .filter(period => period.risk_score > 0.1 && period.event_count > 5)
      .sort((a, b) => b.risk_score - a.risk_score);
    
    return {
      hourly_patterns: hourlyPatterns,
      high_risk_periods: riskPeriods.slice(0, 3),
      recommendations: this.generateTimeBasedRecommendations(riskPeriods)
    };
  }
}

// Coaching Engine
class CoachingEngine {
  async generateRecommendations(driverId, trends, behaviorAnalysis) {
    const recommendations = [];
    
    // Safety-focused recommendations
    if (trends.safety_trend.direction === 'declining') {
      recommendations.push({
        category: 'safety',
        priority: 'urgent',
        title: 'Address Declining Safety Performance',
        description: 'Safety scores have been declining. Immediate intervention required.',
        actions: [
          'Schedule one-on-one coaching session',
          'Review recent driving events with supervisor',
          'Complete defensive driving refresher course'
        ],
        expected_outcome: 'Halt decline and improve safety score by 10 points within 2 weeks'
      });
    }
    
    // Efficiency recommendations
    const fuelEfficiency = behaviorAnalysis.fuel_consumption.efficiency_rating;
    if (fuelEfficiency < 0.7) {
      recommendations.push({
        category: 'efficiency',
        priority: 'medium',
        title: 'Improve Fuel Efficiency',
        description: 'Fuel consumption is above fleet average. Focus on eco-driving techniques.',
        actions: [
          'Practice smooth acceleration and braking',
          'Minimize idling time',
          'Plan routes to avoid traffic congestion'
        ],
        expected_outcome: 'Improve fuel efficiency by 15% within 30 days'
      });
    }
    
    return recommendations;
  }
}