miracles_in_motion/src/ai/BrowserProcessor.ts

// Simplified Browser-Compatible Processing Pipeline
import type {
  StudentRequest,
  MatchResult,
  AIUpdate,
  AIInsight
} from './types'

// Simple browser-compatible processing
export class SimpleBrowserProcessor {
  private processingQueue: StudentRequest[] = []
  private isProcessing = false
  private subscribers: Set<(update: AIUpdate) => void> = new Set()

  // Add request to processing queue
  async addRequest(request: StudentRequest): Promise<void> {
    this.processingQueue.push(request)
    console.log(`📋 Added request ${request.id} to processing queue`)
    
    // Start processing if not already running
    if (!this.isProcessing) {
      this.processQueue()
    }
  }

  // Subscribe to processing updates
  subscribe(callback: (update: AIUpdate) => void): () => void {
    this.subscribers.add(callback)
    return () => this.subscribers.delete(callback)
  }

  // Notify subscribers of updates
  private notify(update: AIUpdate): void {
    this.subscribers.forEach(callback => {
      try {
        callback(update)
      } catch (error) {
        console.error('Error in processing callback:', error)
      }
    })
  }

  // Process the queue
  private async processQueue(): Promise<void> {
    if (this.isProcessing || this.processingQueue.length === 0) {
      return
    }

    this.isProcessing = true
    console.log('🔄 Starting processing queue...')

    while (this.processingQueue.length > 0) {
      const request = this.processingQueue.shift()!
      
      try {
        this.notify({
          type: 'request-processed',
          requestId: request.id,
          message: `Processing request for ${request.studentName}`,
          timestamp: new Date()
        })

        // Mock AI processing with realistic delay
        await new Promise(resolve => setTimeout(resolve, 2000))
        
        const matches = await this.mockAIMatching(request)
        
        this.notify({
          type: 'request-processed',
          requestId: request.id,
          message: `Found ${matches.length} potential matches`,

          timestamp: new Date()
        })

      } catch (error) {
        console.error('Error processing request:', error)
        this.notify({
          type: 'alert',
          requestId: request.id,
          message: 'Processing failed',

          timestamp: new Date()
        })
      }
    }

    this.isProcessing = false
    console.log('✅ Processing queue completed')
  }

  // Mock AI matching for browser demo
  private async mockAIMatching(request: StudentRequest): Promise<MatchResult[]> {
    console.log(`🤖 AI processing: ${request.description}`)
    
    // Simulate AI analysis
    const categoryMatch = this.getCategoryMatch(request.category)
    const urgencyMultiplier = this.getUrgencyMultiplier(request.urgency)
    
    return [{
      resourceId: `resource-${Date.now()}`,
      resourceName: categoryMatch.name,
      resourceType: this.mapCategoryToResourceType(request.category),
      confidenceScore: 0.75 + (Math.random() * 0.2), // 75-95%
      estimatedImpact: categoryMatch.impact * urgencyMultiplier,
      logisticalComplexity: categoryMatch.complexity,
      estimatedCost: categoryMatch.cost,
      fulfillmentTimeline: categoryMatch.timeline,
      reasoningFactors: [
        'AI-powered semantic analysis',
        `${request.category} category match`,
        `${request.urgency} urgency level`,
        'Location compatibility verified'
      ],
      riskFactors: categoryMatch.risks
    }]
  }

  private getCategoryMatch(category: string) {
    const categoryData: Record<string, any> = {
      'clothing': {
        name: 'School Clothing Package',
        impact: 8.5,
        complexity: 2.0,
        cost: 60,
        timeline: '3-5 days',
        risks: ['Size verification needed', 'Seasonal appropriateness']
      },
      'supplies': {
        name: 'Complete Supply Kit',
        impact: 9.0,
        complexity: 1.5,
        cost: 35,
        timeline: '1-2 days',
        risks: ['Grade-level appropriateness']
      },
      'food': {
        name: 'Emergency Food Support',
        impact: 9.5,
        complexity: 3.0,
        cost: 45,
        timeline: '4-6 hours',
        risks: ['Dietary restrictions', 'Perishable items']
      },
      'transportation': {
        name: 'Transport Assistance',
        impact: 7.5,
        complexity: 4.0,
        cost: 25,
        timeline: '1-3 days',
        risks: ['Schedule coordination', 'Safety verification']
      },
      'emergency': {
        name: 'Emergency Response Package',
        impact: 10.0,
        complexity: 3.5,
        cost: 100,
        timeline: '2-4 hours',
        risks: ['Immediate availability', 'Specialized needs']
      }
    }

    return categoryData[category] || categoryData['supplies']
  }

  private getUrgencyMultiplier(urgency: string): number {
    const multipliers: Record<string, number> = {
      'low': 0.8,
      'medium': 1.0,
      'high': 1.3,
      'critical': 1.6
    }
    return multipliers[urgency] || 1.0
  }

  private mapCategoryToResourceType(category: string): 'supplies' | 'clothing' | 'food' | 'transport' | 'emergency' | 'other' {
    const mapping: Record<string, 'supplies' | 'clothing' | 'food' | 'transport' | 'emergency' | 'other'> = {
      'school-supplies': 'supplies',
      'clothing': 'clothing',
      'food': 'food',
      'transportation': 'transport',
      'emergency': 'emergency'
    }
    return mapping[category] || 'other'
  }

  // Generate insights for dashboard
  async generateInsights(requests: StudentRequest[]): Promise<AIInsight[]> {
    const insights: AIInsight[] = []
    
    // Category analysis
    const categoryCount = requests.reduce((acc, req) => {
      acc[req.category] = (acc[req.category] || 0) + 1
      return acc
    }, {} as Record<string, number>)

    const topCategory = Object.entries(categoryCount)
      .sort(([,a], [,b]) => b - a)[0]

    if (topCategory) {
      insights.push({
        id: `insight-category-${Date.now()}`,
        type: 'trend',
        title: `High Demand: ${topCategory[0]}`,
        description: `${topCategory[1]} requests for ${topCategory[0]} in recent batch. Consider stocking additional resources.`,
        confidence: 0.85,
        severity: topCategory[1] > 3 ? 'medium' : 'low',
        timestamp: new Date()
      })
    }

    // Urgency analysis
    const criticalCount = requests.filter(r => r.urgency.toString() === 'critical').length
    if (criticalCount > 0) {
      insights.push({
        id: `insight-urgency-${Date.now()}`,
        type: 'recommendation',
        title: 'Critical Requests Detected',
        description: `${criticalCount} critical priority requests require immediate attention.`,
        confidence: 1.0,
        severity: 'high',
        timestamp: new Date()
      })
    }

    return insights
  }
}

// Export singleton instance
export const browserProcessor = new SimpleBrowserProcessor()