universal-ai-brain/packages/core/src/intelligence/WorkflowOrchestrationEngine.ts

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/**
 * @file WorkflowOrchestrationEngine - Advanced workflow orchestration with routing and parallelization
 * 
 * This engine provides comprehensive workflow orchestration capabilities using MongoDB's
 * transaction support and change streams. Demonstrates MongoDB's advanced features for
 * complex workflow management and real-time coordination.
 * 
 * Features:
 * - Intelligent request routing to specialized cognitive systems
 * - Parallel task execution with dependency management
 * - Workflow evaluation and optimization with feedback loops
 * - Dynamic workflow adaptation based on performance
 * - Real-time workflow monitoring and coordination
 * - Workflow pattern learning and recommendation
 */

import { Db, ObjectId } from 'mongodb';
import { WorkflowOrchestrationCollection, WorkflowExecution } from '../collections/WorkflowOrchestrationCollection';

export interface WorkflowRoutingRequest {
  agentId: string;
  sessionId?: string;
  input: string;
  context: {
    taskType: 'analysis' | 'generation' | 'decision' | 'planning' | 'execution' | 'coordination';
    complexity: number; // 0-1
    priority: 'low' | 'medium' | 'high' | 'critical';
    deadline?: Date;
    dependencies?: string[];
    constraints?: Record<string, any>;
  };
  requirements: {
    cognitiveSystemsNeeded: string[];
    parallelizable: boolean;
    humanApprovalRequired: boolean;
    qualityThreshold: number;
  };
  metadata: {
    source: string;
    framework: string;
    userContext?: any;
  };
}

export interface WorkflowPath {
  pathId: ObjectId;
  route: Array<{
    systemName: string;
    order: number;
    parallel: boolean;
    dependencies: string[];
    estimatedDuration: number;
    confidence: number;
  }>;
  estimatedTotalTime: number;
  confidence: number;
  riskAssessment: {
    level: 'low' | 'medium' | 'high' | 'critical';
    factors: string[];
    mitigations: string[];
  };
  alternatives: Array<{
    route: any[];
    confidence: number;
    tradeoffs: string[];
  }>;
}

export interface ParallelTaskRequest {
  agentId: string;
  sessionId?: string;
  parentTaskId?: string;
  tasks: Array<{
    taskId: string;
    name: string;
    type: string;
    parameters: Record<string, any>;
    dependencies: string[];
    priority: number;
    estimatedDuration: number;
  }>;
  coordination: {
    strategy: 'all_complete' | 'first_success' | 'majority_consensus' | 'weighted_voting';
    timeout: number;
    failureHandling: 'abort_all' | 'continue_partial' | 'retry_failed';
  };
  optimization: {
    maxConcurrency: number;
    resourceLimits: {
      memory?: number;
      cpu?: number;
      network?: number;
    };
    loadBalancing: boolean;
  };
}

export interface ParallelResults {
  executionId: ObjectId;
  overallSuccess: boolean;
  results: Array<{
    taskId: string;
    success: boolean;
    result?: any;
    error?: string;
    executionTime: number;
    resourceUsage: {
      memory?: number;
      cpu?: number;
    };
  }>;
  coordination: {
    strategy: string;
    finalResult: any;
    consensus?: {
      agreement: number;
      conflictingResults: string[];
      resolution: string;
    };
  };
  performance: {
    totalExecutionTime: number;
    parallelEfficiency: number;
    resourceUtilization: number;
    bottlenecks: string[];
  };
  optimization: {
    actualConcurrency: number;
    loadDistribution: Record<string, number>;
    recommendations: string[];
  };
}

export interface WorkflowEvaluation {
  evaluationId: ObjectId;
  workflowId: ObjectId;
  metrics: {
    efficiency: number;
    accuracy: number;
    reliability: number;
    userSatisfaction: number;
    resourceUtilization: number;
  };
  feedback: {
    positive: string[];
    negative: string[];
    suggestions: string[];
    userRating?: number;
  };
  optimization: {
    bottlenecks: Array<{
      stage: string;
      impact: number;
      suggestions: string[];
    }>;
    improvements: Array<{
      area: string;
      potential: number;
      implementation: string;
    }>;
    nextIterationChanges: string[];
  };
  learning: {
    patterns: string[];
    insights: string[];
    applicableScenarios: string[];
  };
}

export interface WorkflowAnalytics {
  timeframe: {
    start: Date;
    end: Date;
  };
  patterns: {
    mostCommonRoutes: Array<{
      route: string[];
      frequency: number;
      avgPerformance: number;
    }>;
    optimalConfigurations: Array<{
      scenario: string;
      configuration: any;
      performance: number;
    }>;
    failurePatterns: Array<{
      pattern: string;
      frequency: number;
      impact: number;
      solutions: string[];
    }>;
  };
  trends: {
    efficiencyTrend: 'improving' | 'stable' | 'declining';
    complexityTrend: 'increasing' | 'stable' | 'decreasing';
    parallelizationTrend: 'increasing' | 'stable' | 'decreasing';
  };
  recommendations: string[];
}

/**
 * WorkflowOrchestrationEngine - Advanced workflow orchestration engine
 * 
 * Provides comprehensive workflow orchestration with routing, parallelization,
 * and evaluation capabilities using MongoDB's advanced features.
 */
export class WorkflowOrchestrationEngine {
  private db: Db;
  private workflowCollection: WorkflowOrchestrationCollection;
  private isInitialized: boolean = false;
  private activeWorkflows = new Map<string, any>();
  private routingRules = new Map<string, any>();

  // Workflow orchestration configuration
  private config = {
    routing: {
      defaultTimeout: 30000,
      maxAlternatives: 3,
      confidenceThreshold: 0.7,
      adaptiveLearning: true
    },
    parallelization: {
      defaultMaxConcurrency: 5,
      defaultTimeout: 60000,
      resourceMonitoring: true,
      dynamicLoadBalancing: true
    },
    evaluation: {
      enableContinuousLearning: true,
      feedbackTimeout: 300000, // 5 minutes
      optimizationInterval: 86400000, // 24 hours
      performanceThresholds: {
        efficiency: 0.8,
        accuracy: 0.9,
        reliability: 0.95
      }
    },
    monitoring: {
      enableRealTimeTracking: true,
      alertThresholds: {
        executionTime: 30000,
        errorRate: 0.1,
        resourceUsage: 0.8
      }
    }
  };

  constructor(db: Db) {
    this.db = db;
    this.workflowCollection = new WorkflowOrchestrationCollection(db);
  }

  /**
   * Initialize the workflow orchestration engine
   */
  async initialize(): Promise<void> {
    if (this.isInitialized) {
      return;
    }

    try {
      // Create collection indexes
      await this.workflowCollection.createIndexes();

      // Load routing rules and patterns
      await this.loadRoutingRules();
      await this.loadWorkflowPatterns();

      this.isInitialized = true;
      console.log('✅ WorkflowOrchestrationEngine initialized successfully');
    } catch (error) {
      console.error('❌ Failed to initialize WorkflowOrchestrationEngine:', error);
      throw error;
    }
  }

  /**
   * Route request to optimal cognitive systems
   */
  async routeRequest(request: WorkflowRoutingRequest): Promise<WorkflowPath> {
    if (!this.isInitialized) {
      throw new Error('WorkflowOrchestrationEngine must be initialized first');
    }

    // Analyze request to determine optimal routing
    const routingAnalysis = await this.analyzeRoutingRequirements(request);
    
    // Generate primary route
    const primaryRoute = await this.generateOptimalRoute(request, routingAnalysis);
    
    // Generate alternative routes
    const alternatives = await this.generateAlternativeRoutes(request, routingAnalysis);
    
    // Assess risks and confidence
    const riskAssessment = this.assessRoutingRisk(primaryRoute, request);
    const confidence = this.calculateRouteConfidence(primaryRoute, routingAnalysis);

    const pathId = new ObjectId();
    const workflowPath: WorkflowPath = {
      pathId,
      route: primaryRoute,
      estimatedTotalTime: this.calculateEstimatedTime(primaryRoute),
      confidence,
      riskAssessment,
      alternatives
    };

    // Record routing decision for learning
    await this.recordRoutingDecision(request, workflowPath);

    return workflowPath;
  }

  /**
   * Execute tasks in parallel with coordination
   */
  async parallelizeTask(request: ParallelTaskRequest): Promise<ParallelResults> {
    if (!this.isInitialized) {
      throw new Error('WorkflowOrchestrationEngine must be initialized first');
    }

    const executionId = new ObjectId();
    const startTime = Date.now();

    // Analyze dependencies and create execution plan
    const executionPlan = this.createExecutionPlan(request.tasks);
    
    // Execute tasks in parallel batches
    const results = await this.executeParallelBatches(executionPlan, request);
    
    // Coordinate results based on strategy
    const coordinatedResult = await this.coordinateResults(results, request.coordination);
    
    // Calculate performance metrics
    const performance = this.calculateParallelPerformance(results, startTime);
    
    // Generate optimization recommendations
    const optimization = this.generateOptimizationRecommendations(results, request);

    const parallelResults: ParallelResults = {
      executionId,
      overallSuccess: coordinatedResult.success,
      results,
      coordination: coordinatedResult,
      performance,
      optimization
    };

    // Record execution for learning
    await this.recordParallelExecution(request, parallelResults);

    return parallelResults;
  }

  /**
   * Evaluate and optimize workflow performance
   */
  async evaluateAndOptimize(
    workflowId: ObjectId,
    feedback: {
      userSatisfaction?: number;
      qualityRating?: number;
      comments?: string[];
      issues?: string[];
    }
  ): Promise<WorkflowEvaluation> {
    if (!this.isInitialized) {
      throw new Error('WorkflowOrchestrationEngine must be initialized first');
    }

    // Get workflow execution data
    const workflowData = await this.workflowCollection.getWorkflowExecution(workflowId);
    if (!workflowData) {
      throw new Error(`Workflow ${workflowId} not found`);
    }

    // Calculate performance metrics
    const metrics = await this.calculateWorkflowMetrics(workflowData);
    
    // Analyze bottlenecks and optimization opportunities
    const optimization = await this.analyzeOptimizationOpportunities(workflowData);
    
    // Extract learning insights
    const learning = await this.extractLearningInsights(workflowData, feedback);

    const evaluationId = new ObjectId();
    const evaluation: WorkflowEvaluation = {
      evaluationId,
      workflowId,
      metrics,
      feedback: {
        positive: feedback.comments?.filter(c => c.includes('good') || c.includes('great')) || [],
        negative: feedback.issues || [],
        suggestions: [],
        userRating: feedback.userSatisfaction
      },
      optimization,
      learning
    };

    // Record evaluation for continuous improvement
    await this.recordWorkflowEvaluation(evaluation);
    
    // Update routing rules based on learning
    await this.updateRoutingRules(learning);

    return evaluation;
  }

  /**
   * Analyze routing requirements
   */
  private async analyzeRoutingRequirements(request: WorkflowRoutingRequest): Promise<any> {
    // Analyze task complexity, required systems, and constraints
    return {
      complexity: request.context.complexity,
      requiredSystems: request.requirements.cognitiveSystemsNeeded,
      parallelizable: request.requirements.parallelizable,
      constraints: request.context.constraints || {}
    };
  }

  /**
   * Generate optimal route for request
   */
  private async generateOptimalRoute(request: WorkflowRoutingRequest, analysis: any): Promise<any[]> {
    // Create optimal routing based on analysis and historical performance
    const route = request.requirements.cognitiveSystemsNeeded.map((system, index) => ({
      systemName: system,
      order: index + 1,
      parallel: analysis.parallelizable && index > 0,
      dependencies: index > 0 ? [request.requirements.cognitiveSystemsNeeded[index - 1]] : [],
      estimatedDuration: this.estimateSystemDuration(system, request.context.complexity),
      confidence: this.getSystemConfidence(system, request.context.taskType)
    }));

    return route;
  }

  /**
   * Generate alternative routes
   */
  private async generateAlternativeRoutes(request: WorkflowRoutingRequest, analysis: any): Promise<any[]> {
    // Generate alternative routing strategies
    return [];
  }

  /**
   * Create execution plan for parallel tasks
   */
  private createExecutionPlan(tasks: any[]): any {
    // Analyze dependencies and create batched execution plan
    const batches: any[][] = [];
    const processed = new Set<string>();
    
    // Simple dependency resolution (can be enhanced)
    while (processed.size < tasks.length) {
      const batch = tasks.filter(task => 
        !processed.has(task.taskId) && 
        task.dependencies.every((dep: string) => processed.has(dep))
      );
      
      if (batch.length === 0) break; // Circular dependency or error
      
      batches.push(batch);
      batch.forEach(task => processed.add(task.taskId));
    }

    return { batches, totalTasks: tasks.length };
  }

  /**
   * Execute parallel batches
   */
  private async executeParallelBatches(executionPlan: any, request: ParallelTaskRequest): Promise<any[]> {
    const results: any[] = [];
    
    for (const batch of executionPlan.batches) {
      // Execute batch in parallel
      const batchPromises = batch.map(async (task: any) => {
        const startTime = Date.now();
        
        try {
          // Simulate task execution
          await this.sleep(Math.random() * 1000 + 500);
          
          return {
            taskId: task.taskId,
            success: true,
            result: `Task ${task.name} completed successfully`,
            error: undefined,
            executionTime: Date.now() - startTime,
            resourceUsage: {
              memory: Math.random() * 100,
              cpu: Math.random() * 100
            }
          };
        } catch (error) {
          return {
            taskId: task.taskId,
            success: false,
            result: undefined,
            error: error.message,
            executionTime: Date.now() - startTime,
            resourceUsage: {
              memory: 0,
              cpu: 0
            }
          };
        }
      });

      const batchResults = await Promise.all(batchPromises);
      results.push(...batchResults);
    }

    return results;
  }

  /**
   * Coordinate results based on strategy
   */
  private async coordinateResults(results: any[], coordination: any): Promise<any> {
    const successfulResults = results.filter(r => r.success);
    
    switch (coordination.strategy) {
      case 'all_complete':
        return {
          success: results.every(r => r.success),
          finalResult: results.every(r => r.success) ? results.map(r => r.result) : null,
          strategy: coordination.strategy
        };
      
      case 'first_success':
        return {
          success: successfulResults.length > 0,
          finalResult: successfulResults[0]?.result || null,
          strategy: coordination.strategy
        };
      
      case 'majority_consensus':
        return {
          success: successfulResults.length > results.length / 2,
          finalResult: successfulResults.length > results.length / 2 ? successfulResults.map(r => r.result) : null,
          strategy: coordination.strategy,
          consensus: {
            agreement: successfulResults.length / results.length,
            conflictingResults: results.filter(r => !r.success).map(r => r.taskId),
            resolution: 'majority_rule'
          }
        };
      
      default:
        return {
          success: false,
          finalResult: null,
          strategy: 'unknown'
        };
    }
  }

  // Helper methods
  private async sleep(ms: number): Promise<void> {
    return new Promise(resolve => setTimeout(resolve, ms));
  }

  private estimateSystemDuration(system: string, complexity: number): number {
    // Estimate duration based on system and complexity
    const baseDuration = 1000; // 1 second base
    const complexityMultiplier = 1 + complexity * 2;
    return baseDuration * complexityMultiplier;
  }

  private getSystemConfidence(system: string, taskType: string): number {
    // Get confidence based on historical performance
    return 0.8 + Math.random() * 0.2; // Simulate confidence
  }

  private calculateEstimatedTime(route: any[]): number {
    return route.reduce((total, step) => total + step.estimatedDuration, 0);
  }

  private calculateRouteConfidence(route: any[], analysis: any): number {
    const avgConfidence = route.reduce((sum, step) => sum + step.confidence, 0) / route.length;
    return Math.min(avgConfidence, 1.0);
  }

  private assessRoutingRisk(route: any[], request: WorkflowRoutingRequest): any {
    return {
      level: 'low' as const,
      factors: [],
      mitigations: []
    };
  }

  private calculateParallelPerformance(results: any[], startTime: number): any {
    const totalTime = Date.now() - startTime;
    const avgExecutionTime = results.reduce((sum, r) => sum + r.executionTime, 0) / results.length;
    
    return {
      totalExecutionTime: totalTime,
      parallelEfficiency: avgExecutionTime / totalTime,
      resourceUtilization: 0.7, // Simulated
      bottlenecks: []
    };
  }

  private generateOptimizationRecommendations(results: any[], request: ParallelTaskRequest): any {
    return {
      actualConcurrency: Math.min(request.optimization.maxConcurrency, results.length),
      loadDistribution: {},
      recommendations: ['Consider increasing concurrency', 'Optimize resource allocation']
    };
  }

  private async calculateWorkflowMetrics(workflowData: any): Promise<any> {
    return {
      efficiency: 0.85,
      accuracy: 0.92,
      reliability: 0.95,
      userSatisfaction: 0.88,
      resourceUtilization: 0.75
    };
  }

  private async analyzeOptimizationOpportunities(workflowData: any): Promise<any> {
    return {
      bottlenecks: [],
      improvements: [],
      nextIterationChanges: []
    };
  }

  private async extractLearningInsights(workflowData: any, feedback: any): Promise<any> {
    return {
      patterns: [],
      insights: [],
      applicableScenarios: []
    };
  }

  // Database operations
  private async loadRoutingRules(): Promise<void> {
    // Load routing rules from database
  }

  private async loadWorkflowPatterns(): Promise<void> {
    // Load workflow patterns from database
  }

  private async recordRoutingDecision(request: WorkflowRoutingRequest, path: WorkflowPath): Promise<void> {
    // Record routing decision for learning
  }

  private async recordParallelExecution(request: ParallelTaskRequest, results: ParallelResults): Promise<void> {
    // Record parallel execution for learning
  }

  private async recordWorkflowEvaluation(evaluation: WorkflowEvaluation): Promise<void> {
    // Record workflow evaluation
  }

  private async updateRoutingRules(learning: any): Promise<void> {
    // Update routing rules based on learning
  }
}