Device Settings

// Performance-optimized settings for high-priority fleet operations
class FleetPerformanceOptimizer {
  constructor(apiKey) {
    this.apiKey = apiKey;
  }

  async optimizeForDeliveryFleet(deviceIds) {
    const deliveryOptimizedSettings = {
      telemetry_settings: {
        collection_interval_seconds: 15, // Frequent updates for route optimization
        data_types: ['location', 'obd_data', 'door_sensors', 'cargo_weight'],
        high_frequency_events: true,
        batch_upload_size: 25 // Smaller batches for real-time updates
      },
      power_management: {
        sleep_mode_enabled: false, // Always active during delivery hours
        sleep_delay_minutes: 30,
        low_power_threshold: 15,
        charging_optimization: true
      },
      connectivity: {
        preferred_network: '4g_lte',
        roaming_enabled: true, // Cross-region deliveries
        data_usage_limit_mb: 2048, // Higher limit for frequent updates
        offline_storage_days: 3
      },
      safety_features: {
        harsh_event_detection: {
          enabled: true,
          acceleration_threshold: 0.30, // Stricter for commercial vehicles
          braking_threshold: -0.50,
          cornering_threshold: 0.35
        },
        speeding_alerts: {
          enabled: true,
          threshold_over_limit: 5, // Strict compliance
          alert_frequency: 'immediate'
        }
      }
    };

    const results = await Promise.all(
      deviceIds.map(deviceId => this.updateDeviceSettings(deviceId, deliveryOptimizedSettings))
    );

    return {
      optimized_devices: results.filter(r => r.success).length,
      total_devices: deviceIds.length,
      optimization_type: 'delivery_fleet'
    };
  }

  async optimizeForLongHaulFleet(deviceIds) {
    const longHaulSettings = {
      telemetry_settings: {
        collection_interval_seconds: 60, // Less frequent for highway driving
        data_types: ['location', 'obd_data', 'fatigue_monitoring'],
        high_frequency_events: true, // Important for safety events
        batch_upload_size: 100
      },
      power_management: {
        sleep_mode_enabled: true,
        sleep_delay_minutes: 45, // Longer delays for rest stops
        low_power_threshold: 25,
        charging_optimization: true
      },
      safety_features: {
        harsh_event_detection: {
          enabled: true,
          acceleration_threshold: 0.25, // More sensitive for highway speeds
          braking_threshold: -0.40,
          cornering_threshold: 0.30
        },
        speeding_alerts: {
          enabled: true,
          threshold_over_limit: 8,
          alert_frequency: 'immediate'
        }
      }
    };

    // Apply settings to long-haul fleet
    const results = await this.bulkUpdateSettings(deviceIds, longHaulSettings);
    return results;
  }
}

// Usage
const optimizer = new FleetPerformanceOptimizer('your_api_key_here');

// Optimize delivery fleet
const deliveryDevices = ['OBD_DEL_001', 'OBD_DEL_002', 'OBD_DEL_003'];
const deliveryResults = await optimizer.optimizeForDeliveryFleet(deliveryDevices);

console.log(`Delivery fleet optimized: ${deliveryResults.optimized_devices}/${deliveryResults.total_devices} devices`);

# Adaptive device configuration based on driver behavior analytics
import requests
from datetime import datetime, timedelta

class AdaptiveDeviceConfiguration:
    def __init__(self, api_key):
        self.api_key = api_key
        self.base_url = "https://api.bookovia.com/v1"
        
    def analyze_driver_behavior(self, device_id, days=30):
        """Analyze recent driver behavior to determine optimal settings"""
        # Get safety analytics for the device
        analytics = self.get_safety_analytics(device_id, days)
        
        # Calculate behavior scores
        behavior_profile = {
            "harsh_events_per_day": analytics.get("harsh_events_count", 0) / days,
            "speeding_incidents_per_day": analytics.get("speeding_count", 0) / days,
            "safety_score": analytics.get("safety_score", 100),
            "fuel_efficiency": analytics.get("fuel_efficiency_score", 75)
        }
        
        return behavior_profile
    
    def create_adaptive_settings(self, behavior_profile):
        """Create device settings tailored to driver behavior"""
        
        # Determine monitoring intensity based on behavior
        if behavior_profile["safety_score"] < 70:
            # High-risk driver - intensive monitoring
            monitoring_level = "intensive"
            collection_interval = 10
            harsh_thresholds = {
                "acceleration": 0.25,
                "braking": -0.35,
                "cornering": 0.30
            }
            alert_frequency = "immediate"
            
        elif behavior_profile["safety_score"] < 85:
            # Moderate-risk driver - standard monitoring
            monitoring_level = "standard"
            collection_interval = 30
            harsh_thresholds = {
                "acceleration": 0.35,
                "braking": -0.45,
                "cornering": 0.40
            }
            alert_frequency = "immediate"
            
        else:
            # Low-risk driver - efficient monitoring
            monitoring_level = "efficient"
            collection_interval = 60
            harsh_thresholds = {
                "acceleration": 0.45,
                "braking": -0.55,
                "cornering": 0.50
            }
            alert_frequency = "once_per_trip"
        
        # Adjust data collection based on fuel efficiency
        data_types = ["location", "obd_data"]
        if behavior_profile["fuel_efficiency"] < 60:
            data_types.extend(["accelerometer", "engine_load", "fuel_consumption"])
        
        settings = {
            "telemetry_settings": {
                "collection_interval_seconds": collection_interval,
                "data_types": data_types,
                "high_frequency_events": monitoring_level == "intensive",
                "batch_upload_size": 50 if monitoring_level == "intensive" else 100
            },
            "safety_features": {
                "harsh_event_detection": {
                    "enabled": True,
                    "acceleration_threshold": harsh_thresholds["acceleration"],
                    "braking_threshold": harsh_thresholds["braking"],
                    "cornering_threshold": harsh_thresholds["cornering"]
                },
                "speeding_alerts": {
                    "enabled": True,
                    "threshold_over_limit": 15 if monitoring_level == "efficient" else 10,
                    "alert_frequency": alert_frequency
                }
            },
            "power_management": {
                "sleep_mode_enabled": True,
                "sleep_delay_minutes": 10 if monitoring_level == "intensive" else 20,
                "low_power_threshold": 20,
                "charging_optimization": True
            }
        }
        
        return {
            "monitoring_level": monitoring_level,
            "settings": settings,
            "rationale": self.generate_settings_rationale(behavior_profile, monitoring_level)
        }
    
    def generate_settings_rationale(self, behavior_profile, monitoring_level):
        """Generate human-readable explanation for settings choices"""
        rationale = []
        
        if monitoring_level == "intensive":
            rationale.append("Intensive monitoring enabled due to safety score below 70")
            rationale.append("Increased data collection frequency for detailed behavior analysis")
            rationale.append("Stricter harsh event thresholds to encourage safer driving")
            
        elif monitoring_level == "standard":
            rationale.append("Standard monitoring for average safety performance")
            rationale.append("Balanced data collection and battery usage")
            
        else:
            rationale.append("Efficient monitoring for consistently safe drivers")
            rationale.append("Reduced data collection to optimize battery and costs")
            rationale.append("Relaxed thresholds appropriate for experienced drivers")
        
        if behavior_profile["fuel_efficiency"] < 60:
            rationale.append("Enhanced fuel monitoring enabled due to low efficiency score")
            
        return rationale

    def auto_optimize_fleet_settings(self, device_list):
        """Automatically optimize settings for entire fleet based on individual behavior"""
        optimization_results = []
        
        for device_id in device_list:
            try:
                # Analyze behavior
                behavior = self.analyze_driver_behavior(device_id)
                
                # Generate adaptive settings
                adaptive_config = self.create_adaptive_settings(behavior)
                
                # Apply settings
                response = requests.put(
                    f"{self.base_url}/devices/{device_id}/settings",
                    headers={"X-API-Key": self.api_key},
                    json=adaptive_config["settings"]
                )
                
                if response.status_code == 200:
                    optimization_results.append({
                        "device_id": device_id,
                        "status": "optimized",
                        "monitoring_level": adaptive_config["monitoring_level"],
                        "behavior_score": behavior["safety_score"],
                        "rationale": adaptive_config["rationale"]
                    })
                else:
                    optimization_results.append({
                        "device_id": device_id,
                        "status": "failed",
                        "error": response.text
                    })
                    
            except Exception as e:
                optimization_results.append({
                    "device_id": device_id,
                    "status": "error",
                    "error": str(e)
                })
        
        return optimization_results

# Usage
configurator = AdaptiveDeviceConfiguration("your_api_key_here")

# Optimize entire fleet based on driver behavior
fleet_devices = ["OBD_FLEET_001", "OBD_FLEET_002", "OBD_FLEET_003"]
optimization_results = configurator.auto_optimize_fleet_settings(fleet_devices)

# Print optimization summary
for result in optimization_results:
    if result["status"] == "optimized":
        print(f"Device {result['device_id']}: {result['monitoring_level']} monitoring")
        print(f"  Safety Score: {result['behavior_score']}")
        print(f"  Rationale: {'; '.join(result['rationale'])}")
    else:
        print(f"Device {result['device_id']}: {result['status']} - {result.get('error', 'Unknown error')}")

// Environmental adaptation system for device settings
package main

import (
    "encoding/json"
    "fmt"
    "net/http"
    "time"
)

type EnvironmentalAdapter struct {
    apiKey     string
    weatherAPI string
    baseURL    string
}

type WeatherConditions struct {
    Temperature float64 `json:"temperature"`
    Humidity    float64 `json:"humidity"`
    Visibility  float64 `json:"visibility_km"`
    Conditions  string  `json:"conditions"` // "clear", "rain", "snow", "fog"
    WindSpeed   float64 `json:"wind_speed_mph"`
}

type OperationalContext struct {
    TimeOfDay    string  `json:"time_of_day"` // "day", "night", "dawn", "dusk"
    AreaType     string  `json:"area_type"`   // "urban", "highway", "rural", "industrial"
    TrafficLevel string  `json:"traffic"`     // "light", "moderate", "heavy"
    RouteType    string  `json:"route_type"`  // "local", "regional", "long_haul"
}

func (ea *EnvironmentalAdapter) GetContextualSettings(
    deviceID string, 
    location Location, 
    context OperationalContext,
) (*DeviceSettings, error) {
    
    // Get current weather conditions
    weather, err := ea.getWeatherData(location)
    if err != nil {
        return nil, err
    }
    
    // Base settings
    settings := ea.getBaseSettings()
    
    // Adapt for weather conditions
    settings = ea.adaptForWeather(settings, weather)
    
    // Adapt for operational context
    settings = ea.adaptForOperationalContext(settings, context)
    
    // Adapt for time of day
    settings = ea.adaptForTimeOfDay(settings, context.TimeOfDay)
    
    return settings, nil
}

func (ea *EnvironmentalAdapter) adaptForWeather(
    settings *DeviceSettings, 
    weather WeatherConditions,
) *DeviceSettings {
    
    switch weather.Conditions {
    case "rain", "snow":
        // Increase monitoring sensitivity for adverse weather
        settings.TelemetrySettings.CollectionInterval = 15 // More frequent updates
        settings.SafetyFeatures.HarshEventDetection.AccelerationThreshold = 0.25 // Stricter thresholds
        settings.SafetyFeatures.HarshEventDetection.BrakingThreshold = -0.35
        settings.SafetyFeatures.HarshEventDetection.CorneringThreshold = 0.30
        
        // Enable additional data collection
        settings.TelemetrySettings.DataTypes = append(
            settings.TelemetrySettings.DataTypes,
            "weather_sensors", "traction_control", "abs_activity",
        )
        
    case "fog":
        // Focus on visibility and following distance
        settings.TelemetrySettings.CollectionInterval = 10
        settings.TelemetrySettings.DataTypes = append(
            settings.TelemetrySettings.DataTypes,
            "proximity_sensors", "headlight_status",
        )
        
    case "clear":
        // Standard settings for clear weather
        settings.TelemetrySettings.CollectionInterval = 30
    }
    
    // Temperature-based adaptations
    if weather.Temperature < -10 { // Very cold
        settings.PowerManagement.LowPowerThreshold = 30 // Higher threshold for cold weather
        settings.TelemetrySettings.DataTypes = append(
            settings.TelemetrySettings.DataTypes,
            "battery_temperature", "engine_warmup",
        )
    } else if weather.Temperature > 35 { // Very hot
        settings.PowerManagement.ChargingOptimization = true
        settings.TelemetrySettings.DataTypes = append(
            settings.TelemetrySettings.DataTypes,
            "cooling_system", "engine_temperature",
        )
    }
    
    return settings
}

func (ea *EnvironmentalAdapter) adaptForOperationalContext(
    settings *DeviceSettings,
    context OperationalContext,
) *DeviceSettings {
    
    switch context.AreaType {
    case "urban":
        // Urban driving - frequent stops, pedestrians, traffic lights
        settings.TelemetrySettings.CollectionInterval = 20
        settings.SafetyFeatures.SpeedingAlerts.ThresholdOverLimit = 5 // Strict urban compliance
        settings.TelemetrySettings.DataTypes = append(
            settings.TelemetrySettings.DataTypes,
            "pedestrian_detection", "traffic_light_data",
        )
        
    case "highway":
        // Highway driving - sustained speeds, lane changes
        settings.TelemetrySettings.CollectionInterval = 45
        settings.SafetyFeatures.HarshEventDetection.CorneringThreshold = 0.25 // Sensitive to lane changes
        settings.TelemetrySettings.DataTypes = append(
            settings.TelemetrySettings.DataTypes,
            "lane_departure", "cruise_control_status",
        )
        
    case "rural":
        // Rural driving - varying conditions, less infrastructure
        settings.Connectivity.OfflineStorageDays = 14 // More offline storage for poor connectivity
        settings.TelemetrySettings.BatchUploadSize = 200 // Larger batches for efficiency
        
    case "industrial":
        // Industrial zones - loading docks, heavy machinery
        settings.TelemetrySettings.DataTypes = append(
            settings.TelemetrySettings.DataTypes,
            "cargo_sensors", "hydraulic_systems", "loading_status",
        )
    }
    
    // Traffic level adaptations
    switch context.TrafficLevel {
    case "heavy":
        settings.TelemetrySettings.CollectionInterval = 15 // Frequent updates for traffic
        settings.SafetyFeatures.HarshEventDetection.BrakingThreshold = -0.35 // Expect more braking
        
    case "light":
        settings.TelemetrySettings.CollectionInterval = 60 // Less frequent updates
        settings.PowerManagement.SleepDelayMinutes = 30 // Longer sleep delays
    }
    
    return settings
}

func (ea *EnvironmentalAdapter) adaptForTimeOfDay(
    settings *DeviceSettings,
    timeOfDay string,
) *DeviceSettings {
    
    switch timeOfDay {
    case "night":
        // Night driving - reduced visibility, fatigue concerns
        settings.TelemetrySettings.DataTypes = append(
            settings.TelemetrySettings.DataTypes,
            "fatigue_monitoring", "headlight_status", "night_vision",
        )
        settings.SafetyFeatures.HarshEventDetection.Enabled = true
        
    case "dawn", "dusk":
        // Transition periods - changing light conditions
        settings.TelemetrySettings.DataTypes = append(
            settings.TelemetrySettings.DataTypes,
            "light_sensor_data", "visibility_sensors",
        )
        
    case "day":
        // Standard daytime settings
        // Use base settings
    }
    
    return settings
}

func (ea *EnvironmentalAdapter) AutoAdaptFleetSettings(deviceLocations map[string]Location) error {
    for deviceID, location := range deviceLocations {
        // Determine operational context (this would typically come from route/schedule data)
        context := ea.determineOperationalContext(deviceID, location)
        
        // Get contextual settings
        settings, err := ea.GetContextualSettings(deviceID, location, context)
        if err != nil {
            fmt.Printf("Failed to get contextual settings for %s: %v\n", deviceID, err)
            continue
        }
        
        // Apply settings
        err = ea.applySettings(deviceID, settings)
        if err != nil {
            fmt.Printf("Failed to apply settings for %s: %v\n", deviceID, err)
            continue
        }
        
        fmt.Printf("Applied contextual settings for device %s: weather=%s, area=%s\n",
            deviceID, context.Weather, context.AreaType)
    }
    
    return nil
}

// Scheduled adaptation - run every hour to adapt to changing conditions
func (ea *EnvironmentalAdapter) StartAutomaticAdaptation(deviceLocations map[string]Location) {
    ticker := time.NewTicker(1 * time.Hour)
    defer ticker.Stop()
    
    for {
        select {
        case <-ticker.C:
            fmt.Println("Running automatic environmental adaptation...")
            ea.AutoAdaptFleetSettings(deviceLocations)
        }
    }
}

func main() {
    adapter := &EnvironmentalAdapter{
        apiKey:     "your_api_key_here",
        weatherAPI: "your_weather_api_key",
        baseURL:    "https://api.bookovia.com/v1",
    }
    
    // Fleet device locations
    fleetLocations := map[string]Location{
        "OBD_FLEET_001": {Latitude: 40.7128, Longitude: -74.0060}, // NYC
        "OBD_FLEET_002": {Latitude: 34.0522, Longitude: -118.2437}, // LA
        "OBD_FLEET_003": {Latitude: 41.8781, Longitude: -87.6298}, // Chicago
    }
    
    // Start automatic adaptation
    go adapter.StartAutomaticAdaptation(fleetLocations)
    
    // Keep running
    select {}
}