All files riskClassifier.js

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/**
 * Risk Classification Service
 * Classifies detections into Green/Yellow/Orange/Red risk levels
 */
 
const winston = require('winston');
 
const logger = winston.createLogger({
  level: 'info',
  format: winston.format.simple(),
  transports: [new winston.transports.Console()]
});
 
// Risk classification rules by object type and anomaly
const RISK_RULES = {
  atm: {
    // Critical components - any modification is high risk
    skimmer: { level: 'red', reason: 'Skimmer device detected', action: 'immediate_alert' },
    extra_device: { level: 'red', reason: 'Unauthorized device attached', action: 'immediate_alert' },
    pin_pad_modified: { level: 'red', reason: 'PIN pad may be compromised', action: 'immediate_alert' },
    card_reader_overlay: { level: 'red', reason: 'Card reader overlay detected', action: 'immediate_alert' },
    
    // High risk
    camera_blocked: { level: 'orange', reason: 'Security camera blocked', action: 'urgent_inspection' },
    cash_dispenser_modified: { level: 'orange', reason: 'Cash dispenser modified', action: 'urgent_inspection' },
    
    // Medium risk
    display_changed: { level: 'yellow', reason: 'Display appearance changed', action: 'verify_maintenance' },
    receipt_printer_changed: { level: 'yellow', reason: 'Receipt printer modified', action: 'verify_maintenance' },
    
    // Low risk
    speaker_changed: { level: 'green', reason: 'Speaker modified', action: 'log_only' },
    cosmetic_change: { level: 'green', reason: 'Cosmetic change detected', action: 'log_only' }
  },
  
  charging_station: {
    cable_cut: { level: 'red', reason: 'Charging cable severed', action: 'immediate_alert' },
    connector_damaged: { level: 'orange', reason: 'Connector damaged', action: 'urgent_inspection' },
    payment_terminal_changed: { level: 'orange', reason: 'Payment terminal modified', action: 'urgent_inspection' },
    display_changed: { level: 'yellow', reason: 'Display changed', action: 'verify_maintenance' },
    status_lights_off: { level: 'yellow', reason: 'Status lights not functioning', action: 'verify_maintenance' }
  },
  
  parking_meter: {
    coin_slot_blocked: { level: 'orange', reason: 'Coin slot blocked', action: 'urgent_inspection' },
    card_reader_modified: { level: 'red', reason: 'Card reader modified', action: 'immediate_alert' },
    display_changed: { level: 'yellow', reason: 'Display changed', action: 'verify_maintenance' },
    keypad_changed: { level: 'orange', reason: 'Keypad modified', action: 'urgent_inspection' }
  },
  
  defibrillator: {
    cabinet_open: { level: 'red', reason: 'Cabinet is open/unlocked', action: 'immediate_alert' },
    cabinet_damaged: { level: 'orange', reason: 'Cabinet damaged', action: 'urgent_inspection' },
    status_indicator_off: { level: 'orange', reason: 'Status indicator off', action: 'urgent_inspection' },
    access_handle_broken: { level: 'orange', reason: 'Access handle broken', action: 'urgent_inspection' },
    instructions_removed: { level: 'yellow', reason: 'Instructions missing', action: 'verify_maintenance' }
  }
};
 
// Risk level weights for aggregation
const RISK_WEIGHTS = {
  green: 0,
  yellow: 1,
  orange: 2,
  red: 3
};
 
class RiskClassifierService {
  constructor(options = {}) {
    this.customRules = options.customRules || {};
    this.autoEscalate = options.autoEscalate !== false;
  }
 
  /**
   * Classify a single detection
   */
  classify(detection, objectType = 'atm') {
    const rules = RISK_RULES[objectType] || {};
    const customRules = this.customRules[objectType] || {};
    
    // Get anomaly type
    const anomalyType = detection.anomalyType || detection.componentType;
    
    // Check custom rules first
    let classification = customRules[anomalyType];
    
    // Fall back to default rules
    Eif (!classification) {
      classification = rules[anomalyType];
    }
    
    // Default if no rule found
    Iif (!classification) {
      classification = {
        level: 'yellow',
        reason: `Unknown anomaly: ${anomalyType}`,
        action: 'manual_review'
      };
    }
 
    // Adjust based on confidence
    const adjustedLevel = this.adjustForConfidence(
      classification.level,
      detection.confidence || detection.anomalyConfidence || 0.5
    );
 
    return {
      ...classification,
      level: adjustedLevel,
      originalLevel: classification.level,
      confidence: detection.confidence || detection.anomalyConfidence,
      component: anomalyType,
      timestamp: new Date().toISOString()
    };
  }
 
  /**
   * Adjust risk level based on confidence
   */
  adjustForConfidence(level, confidence) {
    // High confidence anomalies escalate
    if (confidence > 0.9 && level !== 'red') {
      const escalation = {
        green: 'yellow',
        yellow: 'orange',
        orange: 'red'
      };
      return escalation[level] || level;
    }
    
    // Low confidence anomalies de-escalate
    if (confidence < 0.5 && level !== 'green') {
      const deescalation = {
        red: 'orange',
        orange: 'yellow',
        yellow: 'green'
      };
      return deescalation[level] || level;
    }
    
    return level;
  }
 
  /**
   * Aggregate multiple classifications into overall risk
   */
  aggregate(classifications) {
    if (!classifications || classifications.length === 0) {
      return {
        level: 'green',
        reason: 'No anomalies detected',
        action: 'continue_monitoring'
      };
    }
 
    // Find highest risk
    let maxWeight = -1;
    let highestRisk = null;
    
    for (const classification of classifications) {
      const weight = RISK_WEIGHTS[classification.level] || 0;
      if (weight > maxWeight) {
        maxWeight = weight;
        highestRisk = classification;
      }
    }
 
    // Count by level
    const counts = classifications.reduce((acc, c) => {
      acc[c.level] = (acc[c.level] || 0) + 1;
      return acc;
    }, {});
 
    // Determine overall action
    const action = this.determineAction(highestRisk.level, counts);
 
    return {
      level: highestRisk.level,
      reason: highestRisk.reason,
      action: action,
      details: classifications,
      counts: counts,
      timestamp: new Date().toISOString()
    };
  }
 
  /**
   * Determine action based on highest risk and counts
   */
  determineAction(highestLevel, counts) {
    const rules = [
      { condition: () => highestLevel === 'red', action: 'immediate_alert' },
      { condition: () => highestLevel === 'orange', action: 'urgent_inspection' },
      { condition: () => (counts.yellow || 0) >= 3, action: 'scheduled_inspection' },
      { condition: () => highestLevel === 'yellow', action: 'verify_maintenance' },
      { condition: () => true, action: 'continue_monitoring' }
    ];
 
    const matched = rules.find(r => r.condition());
    return matched ? matched.action : 'manual_review';
  }
 
  /**
   * Process full observation with detections
   */
  processObservation(observation, detections, objectType = 'atm') {
    // Separate normal and anomaly detections
    const anomalies = detections.filter(d => d.isAnomaly || this.isAnomalous(d));
    
    if (anomalies.length === 0) {
      return {
        level: 'green',
        reason: 'No anomalies detected',
        action: 'continue_monitoring',
        details: []
      };
    }
 
    // Classify each anomaly
    const classifications = anomalies.map(d => this.classify(d, objectType));
    
    // Aggregate
    const result = this.aggregate(classifications);
    
    // Add observation metadata
    return {
      ...result,
      observationId: observation.id,
      objectId: observation.objectId,
      timestamp: new Date().toISOString()
    };
  }
 
  /**
   * Check if detection is anomalous based on rules
   */
  isAnomalous(detection) {
    // Known anomaly types
    const anomalyTypes = [
      'skimmer', 'extra_device', 'overlay', 'modified',
      'blocked', 'damaged', 'missing', 'new_object'
    ];
    
    return anomalyTypes.some(type => 
      detection.componentType?.includes(type) ||
      detection.anomalyType?.includes(type)
    );
  }
 
  /**
   * Get risk history trend
   */
  calculateTrend(historicalRisks) {
    if (!historicalRisks || historicalRisks.length < 2) {
      return { trend: 'stable', confidence: 0 };
    }
 
    // Convert to weights
    const weights = historicalRisks.map(r => RISK_WEIGHTS[r.level] || 0);
    
    // Calculate trend (simple linear regression)
    const n = weights.length;
    const sumX = weights.reduce((a, b, i) => a + i, 0);
    const sumY = weights.reduce((a, b) => a + b, 0);
    const sumXY = weights.reduce((a, b, i) => a + i * b, 0);
    const sumXX = weights.reduce((a, b, i) => a + i * i, 0);
    
    const slope = (n * sumXY - sumX * sumY) / (n * sumXX - sumX * sumX);
    
    let trend;
    if (slope > 0.1) trend = 'increasing';
    else if (slope < -0.1) trend = 'decreasing';
    else trend = 'stable';
    
    return {
      trend,
      slope,
      confidence: Math.min(Math.abs(slope) * 10, 1),
      averageRisk: sumY / n
    };
  }
 
  /**
   * Validate custom rules
   */
  validateRules(rules) {
    const validLevels = ['green', 'yellow', 'orange', 'red'];
    const validActions = [
      'immediate_alert', 'urgent_inspection', 'scheduled_inspection',
      'verify_maintenance', 'continue_monitoring', 'manual_review', 'log_only'
    ];
 
    const errors = [];
    
    for (const [objectType, objectRules] of Object.entries(rules)) {
      for (const [anomalyType, rule] of Object.entries(objectRules)) {
        if (!validLevels.includes(rule.level)) {
          errors.push(`Invalid level '${rule.level}' for ${objectType}.${anomalyType}`);
        }
        if (!validActions.includes(rule.action)) {
          errors.push(`Invalid action '${rule.action}' for ${objectType}.${anomalyType}`);
        }
      }
    }
    
    return {
      valid: errors.length === 0,
      errors
    };
  }
}
 
module.exports = { RiskClassifierService, RISK_RULES };