/**
 * Emergent Capability Detection System
 * Monitors and measures the emergence of unexpected capabilities in the system
 */

export interface EmergentCapability {
  id: string;
  name: string;
  description: string;
  type: 'novel_behavior' | 'unexpected_solution' | 'cross_domain_insight' | 'self_organization' | 'meta_learning';
  strength: number;
  novelty: number;
  utility: number;
  stability: number;
  timestamp: number;
  evidence: Evidence[];
  preconditions: any[];
  triggers: string[];
}

export interface Evidence {
  type: 'behavioral' | 'performance' | 'output' | 'pattern';
  description: string;
  data: any;
  strength: number;
  timestamp: number;
  source: string;
}

export interface CapabilityMetrics {
  emergenceRate: number;
  stabilityIndex: number;
  diversityScore: number;
  complexityGrowth: number;
  crossDomainConnections: number;
  selfOrganizationLevel: number;
}

export class EmergentCapabilityDetector {
  private detectedCapabilities: Map<string, EmergentCapability> = new Map();
  private baselineCapabilities: Set<string> = new Set();
  private monitoringPatterns: Map<string, any> = new Map();
  private emergenceThresholds = {
    novelty: 0.7,
    utility: 0.5,
    stability: 0.6,
    evidence: 3
  };
  private detectionHistory: any[] = [];

  /**
   * Initialize baseline capabilities
   */
  initializeBaseline(capabilities: string[]): void {
    this.baselineCapabilities = new Set(capabilities);
    console.log(`Initialized baseline with ${capabilities.length} capabilities`);
  }

  /**
   * Monitor system behavior for emergent capabilities
   */
  async monitorForEmergence(behaviorData: any): Promise<EmergentCapability[]> {
    const newCapabilities: EmergentCapability[] = [];

    // Detect novel behaviors
    const novelBehaviors = this.detectNovelBehaviors(behaviorData);
    newCapabilities.push(...novelBehaviors);

    // Detect unexpected solutions
    const unexpectedSolutions = this.detectUnexpectedSolutions(behaviorData);
    newCapabilities.push(...unexpectedSolutions);

    // Detect cross-domain insights
    const crossDomainInsights = this.detectCrossDomainInsights(behaviorData);
    newCapabilities.push(...crossDomainInsights);

    // Detect self-organization patterns
    const selfOrganization = this.detectSelfOrganization(behaviorData);
    newCapabilities.push(...selfOrganization);

    // Detect meta-learning capabilities
    const metaLearning = this.detectMetaLearning(behaviorData);
    newCapabilities.push(...metaLearning);

    // Validate and store new capabilities
    for (const capability of newCapabilities) {
      if (this.validateEmergentCapability(capability)) {
        this.detectedCapabilities.set(capability.id, capability);
        this.logCapabilityEmergence(capability);
      }
    }

    return newCapabilities;
  }

  /**
   * Analyze the stability of emergent capabilities over time
   */
  analyzeCapabilityStability(): Map<string, number> {
    const stabilityScores = new Map<string, number>();

    for (const [id, capability] of this.detectedCapabilities) {
      const stability = this.calculateStabilityScore(capability);
      stabilityScores.set(id, stability);

      // Update capability stability
      capability.stability = stability;
    }

    return stabilityScores;
  }

  /**
   * Measure overall emergence metrics
   */
  measureEmergenceMetrics(): CapabilityMetrics {
    const capabilities = Array.from(this.detectedCapabilities.values());

    return {
      emergenceRate: this.calculateEmergenceRate(),
      stabilityIndex: this.calculateStabilityIndex(capabilities),
      diversityScore: this.calculateDiversityScore(capabilities),
      complexityGrowth: this.calculateComplexityGrowth(),
      crossDomainConnections: this.calculateCrossDomainConnections(capabilities),
      selfOrganizationLevel: this.calculateSelfOrganizationLevel(capabilities)
    };
  }

  /**
   * Predict potential future emergent capabilities
   */
  predictFutureEmergence(): any[] {
    const predictions = [];

    // Analyze current trends
    const trends = this.analyzeTrends();

    // Predict based on combination patterns
    const combinationPredictions = this.predictFromCombinations();
    predictions.push(...combinationPredictions);

    // Predict based on growth patterns
    const growthPredictions = this.predictFromGrowthPatterns(trends);
    predictions.push(...growthPredictions);

    // Predict based on missing capabilities
    const gapPredictions = this.predictFromCapabilityGaps();
    predictions.push(...gapPredictions);

    return predictions;
  }

  /**
   * Detect novel behaviors not in baseline
   */
  private detectNovelBehaviors(behaviorData: any): EmergentCapability[] {
    const capabilities: EmergentCapability[] = [];

    // Analyze behavior patterns
    const behaviors = this.extractBehaviorPatterns(behaviorData);

    for (const behavior of behaviors) {
      if (!this.isBaselineBehavior(behavior)) {
        const novelty = this.calculateNovelty(behavior);
        const utility = this.calculateUtility(behavior);

        if (novelty > this.emergenceThresholds.novelty) {
          capabilities.push({
            id: `novel_behavior_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
            name: `Novel Behavior: ${behavior.name}`,
            description: `Newly emerged behavior pattern: ${behavior.description}`,
            type: 'novel_behavior',
            strength: behavior.strength || 0.5,
            novelty,
            utility,
            stability: 0.5, // Initial stability
            timestamp: Date.now(),
            evidence: [{
              type: 'behavioral',
              description: 'New behavior pattern detected',
              data: behavior,
              strength: novelty,
              timestamp: Date.now(),
              source: 'behavior_monitor'
            }],
            preconditions: behavior.preconditions || [],
            triggers: behavior.triggers || []
          });
        }
      }
    }

    return capabilities;
  }

  /**
   * Detect unexpected problem-solving approaches
   */
  private detectUnexpectedSolutions(behaviorData: any): EmergentCapability[] {
    const capabilities: EmergentCapability[] = [];

    const solutions = this.extractSolutionPatterns(behaviorData);

    for (const solution of solutions) {
      const unexpectedness = this.calculateUnexpectedness(solution);
      const effectiveness = this.calculateEffectiveness(solution);

      if (unexpectedness > 0.6 && effectiveness > this.emergenceThresholds.utility) {
        capabilities.push({
          id: `unexpected_solution_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
          name: `Unexpected Solution: ${solution.problemType}`,
          description: `Novel approach to solving ${solution.problemType}: ${solution.approach}`,
          type: 'unexpected_solution',
          strength: effectiveness,
          novelty: unexpectedness,
          utility: effectiveness,
          stability: 0.5,
          timestamp: Date.now(),
          evidence: [{
            type: 'performance',
            description: 'Unexpected but effective solution approach',
            data: solution,
            strength: effectiveness,
            timestamp: Date.now(),
            source: 'solution_monitor'
          }],
          preconditions: solution.preconditions || [],
          triggers: [solution.problemType]
        });
      }
    }

    return capabilities;
  }

  /**
   * Detect insights that bridge different domains
   */
  private detectCrossDomainInsights(behaviorData: any): EmergentCapability[] {
    const capabilities: EmergentCapability[] = [];

    const insights = this.extractCrossDomainPatterns(behaviorData);

    for (const insight of insights) {
      const bridgingScore = this.calculateBridgingScore(insight);
      const insightValue = this.calculateInsightValue(insight);

      if (bridgingScore > 0.7 && insightValue > this.emergenceThresholds.utility) {
        capabilities.push({
          id: `cross_domain_insight_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
          name: `Cross-Domain Insight: ${insight.domains.join(' + ')}`,
          description: `Insight connecting ${insight.domains.join(' and ')}: ${insight.insight}`,
          type: 'cross_domain_insight',
          strength: insightValue,
          novelty: bridgingScore,
          utility: insightValue,
          stability: 0.5,
          timestamp: Date.now(),
          evidence: [{
            type: 'pattern',
            description: 'Cross-domain connection discovered',
            data: insight,
            strength: bridgingScore,
            timestamp: Date.now(),
            source: 'domain_monitor'
          }],
          preconditions: insight.preconditions || [],
          triggers: insight.domains
        });
      }
    }

    return capabilities;
  }

  /**
   * Detect self-organizing behaviors
   */
  private detectSelfOrganization(behaviorData: any): EmergentCapability[] {
    const capabilities: EmergentCapability[] = [];

    const organizationPatterns = this.extractOrganizationPatterns(behaviorData);

    for (const pattern of organizationPatterns) {
      const organizationLevel = this.calculateOrganizationLevel(pattern);
      const autonomy = this.calculateAutonomy(pattern);

      if (organizationLevel > 0.6 && autonomy > 0.5) {
        capabilities.push({
          id: `self_organization_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
          name: `Self-Organization: ${pattern.type}`,
          description: `Autonomous organization in ${pattern.domain}: ${pattern.description}`,
          type: 'self_organization',
          strength: organizationLevel,
          novelty: autonomy,
          utility: organizationLevel * autonomy,
          stability: 0.5,
          timestamp: Date.now(),
          evidence: [{
            type: 'behavioral',
            description: 'Self-organizing behavior detected',
            data: pattern,
            strength: organizationLevel,
            timestamp: Date.now(),
            source: 'organization_monitor'
          }],
          preconditions: pattern.preconditions || [],
          triggers: [pattern.domain]
        });
      }
    }

    return capabilities;
  }

  /**
   * Detect meta-learning capabilities
   */
  private detectMetaLearning(behaviorData: any): EmergentCapability[] {
    const capabilities: EmergentCapability[] = [];

    const learningPatterns = this.extractLearningPatterns(behaviorData);

    for (const pattern of learningPatterns) {
      const metaLevel = this.calculateMetaLevel(pattern);
      const adaptability = this.calculateAdaptability(pattern);

      if (metaLevel > 0.6 && adaptability > 0.5) {
        capabilities.push({
          id: `meta_learning_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
          name: `Meta-Learning: ${pattern.type}`,
          description: `Learning to learn in ${pattern.domain}: ${pattern.mechanism}`,
          type: 'meta_learning',
          strength: adaptability,
          novelty: metaLevel,
          utility: adaptability,
          stability: 0.5,
          timestamp: Date.now(),
          evidence: [{
            type: 'performance',
            description: 'Meta-learning capability detected',
            data: pattern,
            strength: metaLevel,
            timestamp: Date.now(),
            source: 'learning_monitor'
          }],
          preconditions: pattern.preconditions || [],
          triggers: [pattern.domain]
        });
      }
    }

    return capabilities;
  }

  /**
   * Validate that a capability meets emergence criteria
   */
  private validateEmergentCapability(capability: EmergentCapability): boolean {
    // Check thresholds
    if (capability.novelty < this.emergenceThresholds.novelty) return false;
    if (capability.utility < this.emergenceThresholds.utility) return false;
    if (capability.evidence.length < this.emergenceThresholds.evidence) return false;

    // Check for sufficient evidence strength
    const avgEvidenceStrength = capability.evidence.reduce((sum, e) => sum + e.strength, 0) / capability.evidence.length;
    if (avgEvidenceStrength < 0.5) return false;

    // Check for uniqueness
    for (const existing of this.detectedCapabilities.values()) {
      if (this.calculateCapabilitySimilarity(capability, existing) > 0.8) {
        return false; // Too similar to existing capability
      }
    }

    return true;
  }

  /**
   * Calculate stability score for a capability
   */
  private calculateStabilityScore(capability: EmergentCapability): number {
    const timeSinceEmergence = Date.now() - capability.timestamp;
    const daysSinceEmergence = timeSinceEmergence / (1000 * 60 * 60 * 24);

    // Capabilities are more stable if they persist over time
    const persistenceScore = Math.min(1.0, daysSinceEmergence / 7); // Stabilizes over a week

    // Check if capability has been consistently observed
    const recentObservations = this.detectionHistory
      .filter(h => h.capabilityId === capability.id)
      .filter(h => Date.now() - h.timestamp < 7 * 24 * 60 * 60 * 1000); // Last week

    const observationFrequency = recentObservations.length / 7; // Observations per day
    const frequencyScore = Math.min(1.0, observationFrequency / 0.5); // Target: 0.5 observations per day

    return (persistenceScore + frequencyScore) / 2;
  }

  /**
   * Calculate emergence rate
   */
  private calculateEmergenceRate(): number {
    const recentCapabilities = Array.from(this.detectedCapabilities.values())
      .filter(c => Date.now() - c.timestamp < 7 * 24 * 60 * 60 * 1000); // Last week

    return recentCapabilities.length / 7; // Capabilities per day
  }

  /**
   * Calculate stability index
   */
  private calculateStabilityIndex(capabilities: EmergentCapability[]): number {
    if (capabilities.length === 0) return 0;

    const avgStability = capabilities.reduce((sum, c) => sum + c.stability, 0) / capabilities.length;
    return avgStability;
  }

  /**
   * Calculate diversity score
   */
  private calculateDiversityScore(capabilities: EmergentCapability[]): number {
    if (capabilities.length === 0) return 0;

    const types = new Set(capabilities.map(c => c.type));
    const typeDistribution = Array.from(types).map(type =>
      capabilities.filter(c => c.type === type).length / capabilities.length
    );

    // Shannon entropy for diversity
    const entropy = -typeDistribution.reduce((sum, p) => sum + p * Math.log2(p), 0);
    const maxEntropy = Math.log2(types.size);

    return maxEntropy > 0 ? entropy / maxEntropy : 0;
  }

  /**
   * Calculate complexity growth
   */
  private calculateComplexityGrowth(): number {
    const recent = Array.from(this.detectedCapabilities.values())
      .filter(c => Date.now() - c.timestamp < 30 * 24 * 60 * 60 * 1000) // Last month
      .sort((a, b) => a.timestamp - b.timestamp);

    if (recent.length < 2) return 0;

    const complexityScores = recent.map(c => c.strength * c.novelty * c.utility);
    const earlyAvg = complexityScores.slice(0, Math.floor(complexityScores.length / 2))
      .reduce((a, b) => a + b, 0) / Math.floor(complexityScores.length / 2);
    const lateAvg = complexityScores.slice(Math.floor(complexityScores.length / 2))
      .reduce((a, b) => a + b, 0) / Math.ceil(complexityScores.length / 2);

    return lateAvg - earlyAvg;
  }

  /**
   * Calculate cross-domain connections
   */
  private calculateCrossDomainConnections(capabilities: EmergentCapability[]): number {
    return capabilities.filter(c => c.type === 'cross_domain_insight').length;
  }

  /**
   * Calculate self-organization level
   */
  private calculateSelfOrganizationLevel(capabilities: EmergentCapability[]): number {
    const selfOrgCapabilities = capabilities.filter(c => c.type === 'self_organization');

    if (selfOrgCapabilities.length === 0) return 0;

    return selfOrgCapabilities.reduce((sum, c) => sum + c.strength, 0) / selfOrgCapabilities.length;
  }

  // Helper methods for pattern extraction and analysis
  private extractBehaviorPatterns(data: any): any[] {
    // Extract behavior patterns from data
    return data.behaviors || [];
  }

  private extractSolutionPatterns(data: any): any[] {
    // Extract solution patterns from data
    return data.solutions || [];
  }

  private extractCrossDomainPatterns(data: any): any[] {
    // Extract cross-domain patterns from data
    return data.crossDomainInsights || [];
  }

  private extractOrganizationPatterns(data: any): any[] {
    // Extract organization patterns from data
    return data.organizationPatterns || [];
  }

  private extractLearningPatterns(data: any): any[] {
    // Extract learning patterns from data
    return data.learningPatterns || [];
  }

  private isBaselineBehavior(behavior: any): boolean {
    return this.baselineCapabilities.has(behavior.name);
  }

  private calculateNovelty(behavior: any): number {
    // Calculate how novel this behavior is
    return Math.random() * 0.5 + 0.5; // Simplified
  }

  private calculateUtility(behavior: any): number {
    // Calculate utility of the behavior
    return Math.random() * 0.5 + 0.5; // Simplified
  }

  private calculateUnexpectedness(solution: any): number {
    // Calculate how unexpected this solution is
    return Math.random() * 0.5 + 0.5; // Simplified
  }

  private calculateEffectiveness(solution: any): number {
    // Calculate effectiveness of the solution
    return Math.random() * 0.5 + 0.5; // Simplified
  }

  private calculateBridgingScore(insight: any): number {
    // Calculate how well this insight bridges domains
    return Math.random() * 0.5 + 0.5; // Simplified
  }

  private calculateInsightValue(insight: any): number {
    // Calculate value of the insight
    return Math.random() * 0.5 + 0.5; // Simplified
  }

  private calculateOrganizationLevel(pattern: any): number {
    // Calculate level of self-organization
    return Math.random() * 0.5 + 0.5; // Simplified
  }

  private calculateAutonomy(pattern: any): number {
    // Calculate autonomy level
    return Math.random() * 0.5 + 0.5; // Simplified
  }

  private calculateMetaLevel(pattern: any): number {
    // Calculate meta-learning level
    return Math.random() * 0.5 + 0.5; // Simplified
  }

  private calculateAdaptability(pattern: any): number {
    // Calculate adaptability
    return Math.random() * 0.5 + 0.5; // Simplified
  }

  private calculateCapabilitySimilarity(cap1: EmergentCapability, cap2: EmergentCapability): number {
    // Calculate similarity between capabilities
    return Math.random() * 0.5; // Simplified
  }

  private logCapabilityEmergence(capability: EmergentCapability): void {
    this.detectionHistory.push({
      capabilityId: capability.id,
      timestamp: Date.now(),
      type: capability.type,
      strength: capability.strength
    });

    console.log(`New emergent capability detected: ${capability.name}`);
  }

  private analyzeTrends(): any {
    // Analyze emergence trends
    return {};
  }

  private predictFromCombinations(): any[] {
    // Predict capabilities from existing combinations
    return [];
  }

  private predictFromGrowthPatterns(trends: any): any[] {
    // Predict based on growth patterns
    return [];
  }

  private predictFromCapabilityGaps(): any[] {
    // Predict based on missing capabilities
    return [];
  }

  /**
   * Get detection statistics
   */
  getStats(): any {
    const capabilities = Array.from(this.detectedCapabilities.values());

    return {
      totalCapabilities: capabilities.length,
      byType: this.getCapabilitiesByType(capabilities),
      averageStability: this.calculateStabilityIndex(capabilities),
      emergenceRate: this.calculateEmergenceRate(),
      complexityGrowth: this.calculateComplexityGrowth(),
      mostRecentCapability: capabilities.sort((a, b) => b.timestamp - a.timestamp)[0]?.name || 'None',
      detectionHistory: this.detectionHistory.length
    };
  }

  private getCapabilitiesByType(capabilities: EmergentCapability[]): any {
    const byType: any = {};

    for (const capability of capabilities) {
      byType[capability.type] = (byType[capability.type] || 0) + 1;
    }

    return byType;
  }
}