devflow-ai/src/verification/dashboard-exporter.ts

Enterprise-grade AI agent orchestration with swarm management UI dashboard

/**
 * Dashboard Exporter - Advanced data visualization and export system
 * 
 * Provides comprehensive dashboard generation, real-time data export,
 * and visualization capabilities for truth telemetry metrics.
 */

import type { ILogger } from '../core/logger.js';
import type {
  DashboardData,
  DataPoint,
  AgentPerformanceChart,
  ErrorDistributionChart,
  SystemLoadChart,
  AgentRanking,
  CriticalIssue,
  SystemInsight,
  TruthMetric,
  AgentTruthScore,
  SystemTruthMetrics,
  TruthAlert,
  TruthTelemetryConfig,
} from './telemetry.js';

export interface DashboardConfiguration {
  title: string;
  description: string;
  refreshInterval: number;
  timeRange: {
    default: string; // '1h', '24h', '7d', '30d'
    options: string[];
  };
  panels: DashboardPanel[];
  filters: DashboardFilter[];
  layout: DashboardLayout;
  styling: DashboardStyling;
}

export interface DashboardPanel {
  id: string;
  title: string;
  type: 'chart' | 'table' | 'stat' | 'gauge' | 'heatmap' | 'timeline' | 'alert';
  chartType?: 'line' | 'bar' | 'pie' | 'scatter' | 'area' | 'histogram';
  dataSource: string;
  query: string;
  position: { x: number; y: number; width: number; height: number };
  config: PanelConfiguration;
  drillDown?: DrillDownConfig;
}

export interface PanelConfiguration {
  yAxis?: {
    min?: number;
    max?: number;
    label?: string;
    scale?: 'linear' | 'logarithmic';
  };
  xAxis?: {
    label?: string;
    format?: string;
  };
  colors?: string[];
  thresholds?: Array<{
    value: number;
    color: string;
    condition: 'gt' | 'lt' | 'eq';
  }>;
  aggregation?: 'sum' | 'avg' | 'min' | 'max' | 'count' | 'p50' | 'p95' | 'p99';
  groupBy?: string[];
  orderBy?: { field: string; direction: 'asc' | 'desc' };
  limit?: number;
  format?: {
    decimals?: number;
    unit?: string;
    prefix?: string;
    suffix?: string;
  };
}

export interface DrillDownConfig {
  enabled: boolean;
  target: string; // dashboard ID or URL
  parameters: Record<string, string>;
}

export interface DashboardFilter {
  id: string;
  name: string;
  type: 'dropdown' | 'text' | 'date' | 'range' | 'multiselect';
  field: string;
  options?: Array<{ label: string; value: string }>;
  defaultValue?: any;
  dependencies?: string[]; // Other filter IDs this depends on
}

export interface DashboardLayout {
  type: 'grid' | 'flow' | 'tabs';
  gridSize: { columns: number; rows: number };
  responsive: boolean;
  breakpoints: Record<string, { columns: number; margin: number; padding: number }>;
}

export interface DashboardStyling {
  theme: 'light' | 'dark' | 'auto';
  primaryColor: string;
  secondaryColor: string;
  backgroundColor: string;
  textColor: string;
  borderColor: string;
  fontFamily: string;
  fontSize: {
    small: string;
    medium: string;
    large: string;
  };
}

export interface ExportFormat {
  type: 'json' | 'csv' | 'excel' | 'pdf' | 'png' | 'svg' | 'prometheus';
  options: {
    compression?: 'none' | 'gzip' | 'brotli';
    delimiter?: string; // for CSV
    orientation?: 'portrait' | 'landscape'; // for PDF
    quality?: number; // for images
    width?: number;
    height?: number;
  };
}

export interface ReportTemplate {
  id: string;
  name: string;
  description: string;
  type: 'executive' | 'technical' | 'operational' | 'compliance';
  schedule?: {
    frequency: 'hourly' | 'daily' | 'weekly' | 'monthly';
    time?: string; // HH:MM
    dayOfWeek?: number; // 0-6
    dayOfMonth?: number; // 1-31
  };
  recipients: string[];
  format: ExportFormat;
  sections: ReportSection[];
}

export interface ReportSection {
  title: string;
  type: 'summary' | 'chart' | 'table' | 'text' | 'alert_summary';
  query?: string;
  template?: string;
  config?: Record<string, any>;
}

export interface VisualizationData {
  series: DataSeries[];
  annotations: Annotation[];
  metadata: VisualizationMetadata;
}

export interface DataSeries {
  name: string;
  data: DataPoint[];
  type: 'line' | 'bar' | 'area' | 'scatter';
  color?: string;
  yAxis?: 'left' | 'right';
  visible: boolean;
  style?: {
    lineWidth?: number;
    fillOpacity?: number;
    markerSize?: number;
  };
}

export interface Annotation {
  type: 'line' | 'band' | 'point' | 'text';
  timestamp?: Date;
  startTime?: Date;
  endTime?: Date;
  value?: number;
  text?: string;
  color?: string;
  style?: 'solid' | 'dashed' | 'dotted';
}

export interface VisualizationMetadata {
  title: string;
  subtitle?: string;
  yAxisLabel?: string;
  xAxisLabel?: string;
  timeRange: { start: Date; end: Date };
  dataPoints: number;
  lastUpdated: Date;
  aggregationLevel: string;
}

export class DashboardExporter {
  private config: TruthTelemetryConfig;
  private logger: ILogger;
  
  // Dashboard management
  private dashboards = new Map<string, DashboardConfiguration>();
  private reportTemplates = new Map<string, ReportTemplate>();
  private scheduledReports = new Map<string, NodeJS.Timeout>();
  
  // Data processing
  private dataProcessors = new Map<string, DataProcessor>();
  private visualizationCache = new Map<string, VisualizationData>();
  
  // Export state
  private exportQueue: ExportJob[] = [];
  private activeExports = new Set<string>();
  
  constructor(config: TruthTelemetryConfig, logger: ILogger) {
    this.config = config;
    this.logger = logger;
    
    this.initializeDataProcessors();
    this.initializeDefaultDashboards();
  }
  
  async initialize(): Promise<void> {
    this.logger.info('Initializing Dashboard Exporter', {
      dashboardEnabled: this.config.dashboardEnabled,
      exportFormat: this.config.exportFormat,
    });
    
    // Load dashboard configurations
    await this.loadDashboardConfigurations();
    
    // Start scheduled reports
    this.startScheduledReports();
    
    this.logger.info('Dashboard Exporter initialized successfully', {
      dashboards: this.dashboards.size,
      reportTemplates: this.reportTemplates.size,
    });
  }
  
  async shutdown(): Promise<void> {
    this.logger.info('Shutting down Dashboard Exporter');
    
    // Stop scheduled reports
    this.stopScheduledReports();
    
    // Wait for active exports to complete
    await this.waitForActiveExports();
    
    // Save configurations
    await this.saveDashboardConfigurations();
    
    this.logger.info('Dashboard Exporter shutdown complete');
  }
  
  // ========================================================================================
  // Dashboard Generation
  // ========================================================================================
  
  async generateDashboard(data: {
    systemMetrics: SystemTruthMetrics;
    agentScores: AgentTruthScore[];
    truthMetrics: TruthMetric[];
    activeAlerts: TruthAlert[];
  }): Promise<DashboardData> {
    try {
      // Generate summary statistics
      const summary = await this.generateSummary(data);
      
      // Generate charts
      const charts = await this.generateCharts(data);
      
      // Generate tables
      const tables = await this.generateTables(data);
      
      // Generate insights
      const insights = await this.generateInsights(data);
      
      const dashboardData: DashboardData = {
        timestamp: new Date(),
        summary,
        charts,
        tables,
        insights,
      };
      
      // Cache the result
      this.cacheDashboardData(dashboardData);
      
      return dashboardData;
      
    } catch (error) {
      this.logger.error('Error generating dashboard', error);
      throw error;
    }
  }
  
  private async generateSummary(data: any): Promise<DashboardData['summary']> {
    const { systemMetrics, agentScores, activeAlerts } = data;
    
    // Calculate overall system health
    const healthScore = this.calculateOverallHealth(systemMetrics, agentScores);
    
    return {
      overallHealth: healthScore,
      truthAccuracy: systemMetrics.overallAccuracy,
      humanInterventionRate: systemMetrics.humanInterventionRate,
      systemEfficiency: systemMetrics.efficiency,
      alertCount: activeAlerts.length,
    };
  }
  
  private async generateCharts(data: any): Promise<DashboardData['charts']> {
    const { systemMetrics, agentScores, truthMetrics, activeAlerts } = data;
    
    return {
      accuracyTrend: await this.generateAccuracyTrend(truthMetrics),
      interventionTrend: await this.generateInterventionTrend(truthMetrics),
      agentPerformance: await this.generateAgentPerformanceChart(agentScores),
      errorDistribution: await this.generateErrorDistribution(truthMetrics),
      systemLoad: await this.generateSystemLoadChart(systemMetrics),
    };
  }
  
  private async generateTables(data: any): Promise<DashboardData['tables']> {
    const { agentScores, activeAlerts } = data;
    
    return {
      topPerformers: await this.generateTopPerformers(agentScores),
      recentAlerts: activeAlerts.slice(-10).map(this.formatAlertForTable),
      criticalIssues: await this.generateCriticalIssues(data),
    };
  }
  
  private async generateInsights(data: any): Promise<SystemInsight[]> {
    const insights: SystemInsight[] = [];
    
    // Performance insights
    const performanceInsight = await this.analyzePerformanceInsights(data);
    if (performanceInsight) insights.push(performanceInsight);
    
    // Efficiency insights
    const efficiencyInsight = await this.analyzeEfficiencyInsights(data);
    if (efficiencyInsight) insights.push(efficiencyInsight);
    
    // Quality insights
    const qualityInsight = await this.analyzeQualityInsights(data);
    if (qualityInsight) insights.push(qualityInsight);
    
    // Risk insights
    const riskInsight = await this.analyzeRiskInsights(data);
    if (riskInsight) insights.push(riskInsight);
    
    return insights;
  }
  
  // ========================================================================================
  // Chart Generation
  // ========================================================================================
  
  private async generateAccuracyTrend(truthMetrics: TruthMetric[]): Promise<DataPoint[]> {
    const accuracyMetrics = truthMetrics
      .filter(m => m.metricType === 'accuracy')
      .sort((a, b) => a.timestamp.getTime() - b.timestamp.getTime());
    
    // Group by time intervals (hourly)
    const hourlyData = new Map<number, number[]>();
    
    accuracyMetrics.forEach(metric => {
      const hour = Math.floor(metric.timestamp.getTime() / (60 * 60 * 1000)) * (60 * 60 * 1000);
      if (!hourlyData.has(hour)) {
        hourlyData.set(hour, []);
      }
      hourlyData.get(hour)!.push(metric.value);
    });
    
    // Calculate hourly averages
    const dataPoints: DataPoint[] = [];
    for (const [hour, values] of hourlyData) {
      const average = values.reduce((sum, val) => sum + val, 0) / values.length;
      dataPoints.push({
        timestamp: new Date(hour),
        value: average,
        label: `${values.length} samples`,
      });
    }
    
    return dataPoints.slice(-24); // Last 24 hours
  }
  
  private async generateInterventionTrend(truthMetrics: TruthMetric[]): Promise<DataPoint[]> {
    const hourlyData = new Map<number, { total: number; interventions: number }>();
    
    truthMetrics.forEach(metric => {
      const hour = Math.floor(metric.timestamp.getTime() / (60 * 60 * 1000)) * (60 * 60 * 1000);
      if (!hourlyData.has(hour)) {
        hourlyData.set(hour, { total: 0, interventions: 0 });
      }
      
      const data = hourlyData.get(hour)!;
      data.total++;
      
      if (metric.context.verificationMethod === 'human' || metric.context.verificationMethod === 'hybrid') {
        data.interventions++;
      }
    });
    
    const dataPoints: DataPoint[] = [];
    for (const [hour, data] of hourlyData) {
      const rate = data.total > 0 ? data.interventions / data.total : 0;
      dataPoints.push({
        timestamp: new Date(hour),
        value: rate,
        label: `${data.interventions}/${data.total}`,
      });
    }
    
    return dataPoints.slice(-24);
  }
  
  private async generateAgentPerformanceChart(agentScores: AgentTruthScore[]): Promise<AgentPerformanceChart[]> {
    return agentScores
      .sort((a, b) => b.overallScore - a.overallScore)
      .slice(0, 20) // Top 20 agents
      .map(score => {
        const recentWindow = score.recentPerformance.find(w => w.period === 'recent');
        const trend = this.calculateTrend(score.trends);
        
        return {
          agentId: score.agentId,
          score: score.overallScore,
          trend,
          tasks: recentWindow?.metrics.totalTasks || 0,
          accuracy: score.components.accuracy,
        };
      });
  }
  
  private async generateErrorDistribution(truthMetrics: TruthMetric[]): Promise<ErrorDistributionChart[]> {
    const errorCounts = new Map<string, number>();
    const severityCounts = new Map<string, number>();
    
    let totalErrors = 0;
    
    truthMetrics.forEach(metric => {
      metric.validation.errors.forEach(error => {
        totalErrors++;
        
        // Count by error type
        errorCounts.set(error.type, (errorCounts.get(error.type) || 0) + 1);
        
        // Count by severity
        severityCounts.set(error.severity, (severityCounts.get(error.severity) || 0) + 1);
      });
    });
    
    const distribution: ErrorDistributionChart[] = [];
    
    // Add error types
    for (const [errorType, count] of errorCounts) {
      distribution.push({
        category: errorType,
        count,
        percentage: totalErrors > 0 ? (count / totalErrors) * 100 : 0,
        severity: 'mixed',
      });
    }
    
    return distribution.sort((a, b) => b.count - a.count).slice(0, 10);
  }
  
  private async generateSystemLoadChart(systemMetrics: SystemTruthMetrics): Promise<SystemLoadChart[]> {
    // Generate synthetic load data (would typically come from time-series DB)
    const dataPoints: SystemLoadChart[] = [];
    const now = Date.now();
    const hourMs = 60 * 60 * 1000;
    
    for (let i = 23; i >= 0; i--) {
      const timestamp = new Date(now - (i * hourMs));
      
      // Simulate load variation
      const baseLoad = systemMetrics.totalTasks / 24; // Average per hour
      const variation = (Math.random() - 0.5) * 0.3; // ±30% variation
      const load = Math.max(0, baseLoad * (1 + variation));
      
      const capacity = systemMetrics.agentCount * 10; // 10 tasks per agent per hour
      const utilization = capacity > 0 ? Math.min(1, load / capacity) : 0;
      
      dataPoints.push({
        timestamp,
        load,
        capacity,
        utilization,
      });
    }
    
    return dataPoints;
  }
  
  // ========================================================================================
  // Table Generation
  // ========================================================================================
  
  private async generateTopPerformers(agentScores: AgentTruthScore[]): Promise<AgentRanking[]> {
    return agentScores
      .sort((a, b) => b.overallScore - a.overallScore)
      .slice(0, 10)
      .map((score, index) => {
        const recentWindow = score.recentPerformance.find(w => w.period === 'recent');
        
        return {
          rank: index + 1,
          agentId: score.agentId,
          score: score.overallScore,
          tasks: recentWindow?.metrics.totalTasks || 0,
          accuracy: score.components.accuracy,
          efficiency: score.components.efficiency,
        };
      });
  }
  
  private formatAlertForTable = (alert: TruthAlert): any => ({
    id: alert.id,
    timestamp: alert.timestamp,
    severity: alert.severity,
    type: alert.type,
    message: alert.message.substring(0, 100) + (alert.message.length > 100 ? '...' : ''),
    source: alert.source,
    resolved: alert.resolved,
  });
  
  private async generateCriticalIssues(data: any): Promise<CriticalIssue[]> {
    const { systemMetrics, agentScores, activeAlerts } = data;
    const issues: CriticalIssue[] = [];
    
    // System-wide issues
    if (systemMetrics.overallAccuracy < 0.9) {
      issues.push({
        id: 'system-accuracy-low',
        severity: 'critical',
        description: `System accuracy (${(systemMetrics.overallAccuracy * 100).toFixed(1)}%) below target`,
        affectedAgents: ['system-wide'],
        impact: 'High risk of incorrect outputs across all agents',
        eta: new Date(Date.now() + 24 * 60 * 60 * 1000), // 24 hours
      });
    }
    
    // Agent-specific issues
    const problematicAgents = agentScores.filter(score => 
      score.riskAssessment.level === 'critical' || score.riskAssessment.level === 'high'
    );
    
    if (problematicAgents.length > 0) {
      issues.push({
        id: 'agents-at-risk',
        severity: problematicAgents.some(a => a.riskAssessment.level === 'critical') ? 'critical' : 'high',
        description: `${problematicAgents.length} agents at risk`,
        affectedAgents: problematicAgents.map(a => a.agentId),
        impact: 'Reduced system reliability and increased intervention needs',
        eta: new Date(Date.now() + 12 * 60 * 60 * 1000), // 12 hours
      });
    }
    
    // Alert-based issues
    const criticalAlerts = activeAlerts.filter(a => a.severity === 'critical' || a.severity === 'emergency');
    if (criticalAlerts.length > 5) {
      issues.push({
        id: 'high-alert-volume',
        severity: 'high',
        description: `${criticalAlerts.length} critical alerts active`,
        affectedAgents: [...new Set(criticalAlerts.map(a => a.source))],
        impact: 'System may be overwhelmed, requiring immediate attention',
        eta: new Date(Date.now() + 2 * 60 * 60 * 1000), // 2 hours
      });
    }
    
    return issues.slice(0, 5); // Top 5 issues
  }
  
  // ========================================================================================
  // Insight Generation
  // ========================================================================================
  
  private async analyzePerformanceInsights(data: any): Promise<SystemInsight | null> {
    const { systemMetrics, agentScores } = data;
    
    const avgScore = agentScores.length > 0 ? 
      agentScores.reduce((sum, s) => sum + s.overallScore, 0) / agentScores.length : 0;
    
    if (avgScore < 0.8) {
      return {
        type: 'performance',
        title: 'Performance Below Target',
        description: `Average agent performance (${(avgScore * 100).toFixed(1)}%) is below the 80% target. Consider reviewing agent training or task distribution.`,
        impact: 'high',
        actionable: true,
        recommendations: [
          'Review agent training data quality',
          'Analyze common failure patterns',
          'Consider load balancing adjustments',
          'Implement performance coaching for underperforming agents',
        ],
      };
    }
    
    if (systemMetrics.throughput < 50) { // Assuming 50 tasks/hour target
      return {
        type: 'performance',
        title: 'Low System Throughput',
        description: `Current throughput (${systemMetrics.throughput.toFixed(1)} tasks/hour) is below expected levels.`,
        impact: 'medium',
        actionable: true,
        recommendations: [
          'Scale up agent capacity',
          'Optimize task routing algorithms',
          'Reduce task complexity where possible',
        ],
      };
    }
    
    return null;
  }
  
  private async analyzeEfficiencyInsights(data: any): Promise<SystemInsight | null> {
    const { systemMetrics } = data;
    
    if (systemMetrics.humanInterventionRate > 0.15) {
      return {
        type: 'efficiency',
        title: 'High Human Intervention Rate',
        description: `Human intervention rate (${(systemMetrics.humanInterventionRate * 100).toFixed(1)}%) exceeds the 10% target, indicating automation gaps.`,
        impact: 'medium',
        actionable: true,
        recommendations: [
          'Identify common intervention patterns',
          'Improve agent decision-making capabilities',
          'Implement better confidence scoring',
          'Add more automated validation rules',
        ],
      };
    }
    
    if (systemMetrics.efficiency < 0.8) {
      return {
        type: 'efficiency',
        title: 'System Efficiency Below Target',
        description: `Current system efficiency (${(systemMetrics.efficiency * 100).toFixed(1)}%) is below the 80% target.`,
        impact: 'medium',
        actionable: true,
        recommendations: [
          'Optimize resource allocation',
          'Reduce task processing overhead',
          'Implement caching strategies',
        ],
      };
    }
    
    return null;
  }
  
  private async analyzeQualityInsights(data: any): Promise<SystemInsight | null> {
    const { systemMetrics, truthMetrics } = data;
    
    if (systemMetrics.overallAccuracy < 0.95) {
      const recentErrors = truthMetrics
        .filter(m => m.timestamp > new Date(Date.now() - 24 * 60 * 60 * 1000))
        .flatMap(m => m.validation.errors);
      
      const commonErrors = this.getTopErrorTypes(recentErrors);
      
      return {
        type: 'quality',
        title: 'Accuracy Below Target',
        description: `System accuracy (${(systemMetrics.overallAccuracy * 100).toFixed(1)}%) is below the 95% target. Most common error: ${commonErrors[0]?.type || 'unknown'}.`,
        impact: 'high',
        actionable: true,
        recommendations: [
          `Focus on resolving ${commonErrors[0]?.type || 'common'} errors`,
          'Implement additional validation checks',
          'Review training data for bias or gaps',
          'Consider ensemble approaches for critical tasks',
        ],
      };
    }
    
    return null;
  }
  
  private async analyzeRiskInsights(data: any): Promise<SystemInsight | null> {
    const { agentScores } = data;
    
    const highRiskAgents = agentScores.filter(s => 
      s.riskAssessment.level === 'high' || s.riskAssessment.level === 'critical'
    );
    
    if (highRiskAgents.length > agentScores.length * 0.2) { // More than 20% at risk
      return {
        type: 'risk',
        title: 'High Risk Agent Population',
        description: `${highRiskAgents.length} agents (${((highRiskAgents.length / agentScores.length) * 100).toFixed(1)}%) are classified as high risk.`,
        impact: 'high',
        actionable: true,
        recommendations: [
          'Implement immediate monitoring for at-risk agents',
          'Consider redistributing tasks away from high-risk agents',
          'Investigate common risk factors',
          'Implement risk mitigation strategies',
        ],
      };
    }
    
    return null;
  }
  
  // ========================================================================================
  // Export System
  // ========================================================================================
  
  async exportDashboard(
    dashboardId: string,
    format: ExportFormat,
    options?: {
      timeRange?: { start: Date; end: Date };
      filters?: Record<string, any>;
    }
  ): Promise<string> {
    const exportId = `export-${Date.now()}-${Math.random().toString(36).slice(2)}`;
    
    const exportJob: ExportJob = {
      id: exportId,
      type: 'dashboard',
      target: dashboardId,
      format,
      options: options || {},
      status: 'pending',
      createdAt: new Date(),
      progress: 0,
    };
    
    this.exportQueue.push(exportJob);
    this.processExportQueue();
    
    return exportId;
  }
  
  async generateReport(templateId: string, options?: Record<string, any>): Promise<string> {
    const template = this.reportTemplates.get(templateId);
    if (!template) {
      throw new Error(`Report template not found: ${templateId}`);
    }
    
    const exportId = `report-${Date.now()}-${Math.random().toString(36).slice(2)}`;
    
    const exportJob: ExportJob = {
      id: exportId,
      type: 'report',
      target: templateId,
      format: template.format,
      options: options || {},
      status: 'pending',
      createdAt: new Date(),
      progress: 0,
    };
    
    this.exportQueue.push(exportJob);
    this.processExportQueue();
    
    return exportId;
  }
  
  private async processExportQueue(): Promise<void> {
    if (this.exportQueue.length === 0 || this.activeExports.size >= 3) {
      return; // No jobs or max concurrent exports reached
    }
    
    const job = this.exportQueue.shift();
    if (!job) return;
    
    this.activeExports.add(job.id);
    job.status = 'processing';
    
    try {
      const result = await this.executeExportJob(job);
      job.status = 'completed';
      job.result = result;
      job.completedAt = new Date();
      
      this.logger.info('Export job completed', {
        jobId: job.id,
        type: job.type,
        format: job.format.type,
        duration: job.completedAt.getTime() - job.createdAt.getTime(),
      });
      
    } catch (error) {
      job.status = 'failed';
      job.error = error instanceof Error ? error.message : String(error);
      
      this.logger.error('Export job failed', {
        jobId: job.id,
        error: job.error,
      });
    } finally {
      this.activeExports.delete(job.id);
      job.progress = 100;
      
      // Process next job
      setTimeout(() => this.processExportQueue(), 100);
    }
  }
  
  private async executeExportJob(job: ExportJob): Promise<ExportResult> {
    switch (job.type) {
      case 'dashboard':
        return await this.exportDashboardData(job);
      case 'report':
        return await this.generateReportData(job);
      default:
        throw new Error(`Unknown export type: ${job.type}`);
    }
  }
  
  private async exportDashboardData(job: ExportJob): Promise<ExportResult> {
    // Implementation would generate actual export data
    // For now, returning a placeholder
    
    job.progress = 50;
    
    const data = {
      dashboardId: job.target,
      exportedAt: new Date(),
      format: job.format.type,
      data: {}, // Would contain actual dashboard data
    };
    
    job.progress = 100;
    
    return {
      format: job.format.type,
      size: JSON.stringify(data).length,
      path: `/exports/${job.id}.${job.format.type}`,
      data: job.format.type === 'json' ? data : `Exported data (${job.format.type})`,
    };
  }
  
  private async generateReportData(job: ExportJob): Promise<ExportResult> {
    const template = this.reportTemplates.get(job.target);
    if (!template) {
      throw new Error(`Report template not found: ${job.target}`);
    }
    
    job.progress = 25;
    
    // Generate report sections
    const sections = await Promise.all(
      template.sections.map(section => this.generateReportSection(section))
    );
    
    job.progress = 75;
    
    const reportData = {
      template: template.name,
      type: template.type,
      generatedAt: new Date(),
      sections,
    };
    
    job.progress = 100;
    
    return {
      format: template.format.type,
      size: JSON.stringify(reportData).length,
      path: `/reports/${job.id}.${template.format.type}`,
      data: reportData,
    };
  }
  
  private async generateReportSection(section: ReportSection): Promise<any> {
    switch (section.type) {
      case 'summary':
        return { type: 'summary', title: section.title, data: {} };
      case 'chart':
        return { type: 'chart', title: section.title, data: [] };
      case 'table':
        return { type: 'table', title: section.title, data: [] };
      case 'text':
        return { type: 'text', title: section.title, content: section.template || '' };
      case 'alert_summary':
        return { type: 'alert_summary', title: section.title, data: [] };
      default:
        return { type: 'unknown', title: section.title, data: null };
    }
  }
  
  // ========================================================================================
  // Utility Methods
  // ========================================================================================
  
  private calculateOverallHealth(systemMetrics: SystemTruthMetrics, agentScores: AgentTruthScore[]): number {
    const systemHealth = (
      systemMetrics.overallAccuracy * 0.4 +
      systemMetrics.systemReliability * 0.3 +
      systemMetrics.efficiency * 0.2 +
      (1 - systemMetrics.humanInterventionRate) * 0.1
    );
    
    const agentHealth = agentScores.length > 0 ?
      agentScores.reduce((sum, score) => sum + score.overallScore, 0) / agentScores.length : 0.8;
    
    return (systemHealth * 0.6) + (agentHealth * 0.4);
  }
  
  private calculateTrend(trends: any[]): 'up' | 'down' | 'stable' {
    const improvingTrends = trends.filter(t => t.direction === 'improving').length;
    const decliningTrends = trends.filter(t => t.direction === 'declining').length;
    
    if (improvingTrends > decliningTrends) return 'up';
    if (decliningTrends > improvingTrends) return 'down';
    return 'stable';
  }
  
  private getTopErrorTypes(errors: any[]): Array<{ type: string; count: number }> {
    const errorCounts = new Map<string, number>();
    
    errors.forEach(error => {
      errorCounts.set(error.type, (errorCounts.get(error.type) || 0) + 1);
    });
    
    return Array.from(errorCounts.entries())
      .map(([type, count]) => ({ type, count }))
      .sort((a, b) => b.count - a.count);
  }
  
  private cacheDashboardData(data: DashboardData): void {
    // Implement caching logic
    const cacheKey = `dashboard-${data.timestamp.toISOString()}`;
    // Would typically use Redis or similar for caching
  }
  
  private initializeDataProcessors(): void {
    // Initialize data processing functions
    this.dataProcessors.set('accuracy', new AccuracyProcessor());
    this.dataProcessors.set('efficiency', new EfficiencyProcessor());
    this.dataProcessors.set('alerts', new AlertProcessor());
  }
  
  private initializeDefaultDashboards(): void {
    // Create default dashboard configurations
    const defaultDashboard: DashboardConfiguration = {
      title: 'Truth Telemetry Overview',
      description: 'Comprehensive view of system truth metrics and agent performance',
      refreshInterval: 30000,
      timeRange: {
        default: '24h',
        options: ['1h', '6h', '24h', '7d', '30d'],
      },
      panels: [
        {
          id: 'accuracy-trend',
          title: 'Accuracy Trend',
          type: 'chart',
          chartType: 'line',
          dataSource: 'truthMetrics',
          query: 'SELECT timestamp, AVG(value) FROM truth_metrics WHERE metric_type = "accuracy" GROUP BY hour',
          position: { x: 0, y: 0, width: 6, height: 4 },
          config: {
            yAxis: { min: 0, max: 1, label: 'Accuracy' },
            colors: ['#2196F3'],
            thresholds: [
              { value: 0.95, color: '#4CAF50', condition: 'gt' },
              { value: 0.9, color: '#FF9800', condition: 'gt' },
            ],
          },
        },
        {
          id: 'system-health',
          title: 'System Health',
          type: 'stat',
          dataSource: 'systemMetrics',
          query: 'SELECT overall_health FROM system_metrics ORDER BY timestamp DESC LIMIT 1',
          position: { x: 6, y: 0, width: 3, height: 2 },
          config: {
            format: { decimals: 1, suffix: '%' },
            thresholds: [
              { value: 95, color: '#4CAF50', condition: 'gt' },
              { value: 80, color: '#FF9800', condition: 'gt' },
            ],
          },
        },
      ],
      filters: [
        {
          id: 'timeRange',
          name: 'Time Range',
          type: 'dropdown',
          field: 'timestamp',
          options: [
            { label: 'Last Hour', value: '1h' },
            { label: 'Last 24 Hours', value: '24h' },
            { label: 'Last Week', value: '7d' },
          ],
          defaultValue: '24h',
        },
      ],
      layout: {
        type: 'grid',
        gridSize: { columns: 12, rows: 8 },
        responsive: true,
        breakpoints: {
          lg: { columns: 12, margin: 16, padding: 16 },
          md: { columns: 8, margin: 12, padding: 12 },
          sm: { columns: 4, margin: 8, padding: 8 },
        },
      },
      styling: {
        theme: 'light',
        primaryColor: '#2196F3',
        secondaryColor: '#FFC107',
        backgroundColor: '#FFFFFF',
        textColor: '#333333',
        borderColor: '#E0E0E0',
        fontFamily: 'Inter, sans-serif',
        fontSize: {
          small: '12px',
          medium: '14px',
          large: '16px',
        },
      },
    };
    
    this.dashboards.set('default', defaultDashboard);
  }
  
  private async loadDashboardConfigurations(): Promise<void> {
    // Placeholder for loading configurations from storage
    this.logger.debug('Loading dashboard configurations');
  }
  
  private async saveDashboardConfigurations(): Promise<void> {
    // Placeholder for saving configurations to storage
    this.logger.debug('Saving dashboard configurations');
  }
  
  private startScheduledReports(): void {
    for (const [templateId, template] of this.reportTemplates) {
      if (template.schedule) {
        const interval = this.calculateScheduleInterval(template.schedule);
        if (interval > 0) {
          const timeout = setInterval(() => {
            this.generateReport(templateId);
          }, interval);
          
          this.scheduledReports.set(templateId, timeout);
        }
      }
    }
  }
  
  private stopScheduledReports(): void {
    for (const timeout of this.scheduledReports.values()) {
      clearInterval(timeout);
    }
    this.scheduledReports.clear();
  }
  
  private calculateScheduleInterval(schedule: ReportTemplate['schedule']): number {
    if (!schedule) return 0;
    
    switch (schedule.frequency) {
      case 'hourly': return 60 * 60 * 1000;
      case 'daily': return 24 * 60 * 60 * 1000;
      case 'weekly': return 7 * 24 * 60 * 60 * 1000;
      case 'monthly': return 30 * 24 * 60 * 60 * 1000;
      default: return 0;
    }
  }
  
  private async waitForActiveExports(): Promise<void> {
    while (this.activeExports.size > 0) {
      await new Promise(resolve => setTimeout(resolve, 1000));
    }
  }
  
  // ========================================================================================
  // Public API
  // ========================================================================================
  
  getDashboardConfiguration(dashboardId: string): DashboardConfiguration | undefined {
    return this.dashboards.get(dashboardId);
  }
  
  getAllDashboards(): DashboardConfiguration[] {
    return Array.from(this.dashboards.values());
  }
  
  createDashboard(config: Omit<DashboardConfiguration, 'id'>): string {
    const dashboardId = `dashboard-${Date.now()}`;
    this.dashboards.set(dashboardId, { ...config } as DashboardConfiguration);
    return dashboardId;
  }
  
  updateDashboard(dashboardId: string, updates: Partial<DashboardConfiguration>): boolean {
    const dashboard = this.dashboards.get(dashboardId);
    if (!dashboard) return false;
    
    this.dashboards.set(dashboardId, { ...dashboard, ...updates });
    return true;
  }
  
  deleteDashboard(dashboardId: string): boolean {
    return this.dashboards.delete(dashboardId);
  }
  
  getExportStatus(exportId: string): ExportJob | null {
    return this.exportQueue.find(job => job.id === exportId) || null;
  }
  
  cancelExport(exportId: string): boolean {
    const jobIndex = this.exportQueue.findIndex(job => job.id === exportId);
    if (jobIndex >= 0) {
      this.exportQueue.splice(jobIndex, 1);
      return true;
    }
    return false;
  }
}

// ========================================================================================
// Supporting Classes and Interfaces
// ========================================================================================

interface ExportJob {
  id: string;
  type: 'dashboard' | 'report';
  target: string;
  format: ExportFormat;
  options: Record<string, any>;
  status: 'pending' | 'processing' | 'completed' | 'failed';
  progress: number;
  createdAt: Date;
  completedAt?: Date;
  result?: ExportResult;
  error?: string;
}

interface ExportResult {
  format: string;
  size: number;
  path: string;
  data: any;
}

abstract class DataProcessor {
  abstract process(data: any, options?: any): Promise<any>;
}

class AccuracyProcessor extends DataProcessor {
  async process(data: TruthMetric[], options?: any): Promise<any> {
    // Process accuracy-specific data
    return data.filter(m => m.metricType === 'accuracy');
  }
}

class EfficiencyProcessor extends DataProcessor {
  async process(data: TruthMetric[], options?: any): Promise<any> {
    // Process efficiency-specific data
    return data.filter(m => m.metricType === 'efficiency');
  }
}

class AlertProcessor extends DataProcessor {
  async process(data: TruthAlert[], options?: any): Promise<any> {
    // Process alert-specific data
    return data.filter(a => !a.resolved);
  }
}