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VibeRepair Analytics

The VibeRepair system provides buffering analytics and pattern tracking for the ContinuousAudioStreamer, focusing on essential pattern recognition to optimize audio streaming performance and user experience.

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Architecture Overview

The VibeRepair system operates as a lightweight analytics layer that tracks streaming patterns and provides insights for optimization:

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Core Components

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VibestreamRepair Class

The main analytics class tracks buffering patterns with enhanced metrics: 
export class VibestreamRepair {
  private currentSession: Partial<BufferingPattern> = {};
  private patterns: BufferingPattern[] = [];

  constructor() {
    this.loadPatternsFromStorage();
  }
}

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BufferingPattern Interface

The system tracks comprehensive buffering metrics: 
interface BufferingPattern {
  rtaId: string;
  chunkFailures: number[];
  sessionDuration: number;
  userBehavior: 'seeking' | 'continuous' | 'interrupted';
  timestamp: number;
  totalChunks: number;
  completedChunks: number;
  bufferUnderflows: number;
  networkQuality: 'excellent' | 'good' | 'poor';
}

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Session Management

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Session Initialization

Each streaming session is tracked with comprehensive metadata: 
startSession(rtaId: string, totalChunks: number = 0) {
  this.currentSession = {
    rtaId,
    chunkFailures: [],
    timestamp: Date.now(),
    userBehavior: 'continuous',
    totalChunks,
    completedChunks: 0,
    bufferUnderflows: 0,
    networkQuality: 'excellent'
  };
  console.log(`📊 Started analytics session for ${rtaId} (${totalChunks} chunks)`);
}

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Session Lifecycle

The system tracks the complete session lifecycle:

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Metric Collection

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Chunk Failure Tracking

The system records specific chunk indices that fail during streaming: 
recordChunkFailure(chunkIndex: number) {
  if (!this.currentSession.chunkFailures) this.currentSession.chunkFailures = [];
  this.currentSession.chunkFailures.push(chunkIndex);
}

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User Behavior Analysis

Different user interaction patterns are tracked: 
recordSeeking() {
  if (this.currentSession) {
    this.currentSession.userBehavior = 'seeking';
  }
}

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Performance Metrics

The system tracks completion rates and buffer health: 
recordChunkCompletion() {
  if (this.currentSession.completedChunks !== undefined) {
    this.currentSession.completedChunks++;
  }
}

recordBufferUnderflow() {
  if (this.currentSession.bufferUnderflows !== undefined) {
    this.currentSession.bufferUnderflows++;
  }
}

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Network Quality Assessment

Network conditions are continuously monitored: 
updateNetworkQuality(quality: 'excellent' | 'good' | 'poor') {
  if (this.currentSession) {
    this.currentSession.networkQuality = quality;
  }
}

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Pattern Storage

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Local Storage Implementation

The system uses platform-specific storage for pattern persistence: 
private loadPatternsFromStorage() {
  try {
    if (Platform.OS === 'web') {
      const stored = localStorage.getItem('vibesflow_buffering_patterns');
      if (stored) {
        this.patterns = JSON.parse(stored);
      }
    }
  } catch (error) {
    console.warn('⚠️ Failed to load buffering patterns:', error);
  }
}

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Pattern Persistence

Patterns are saved with memory management to prevent storage bloat: 
private savePatternsToStorage() {
  try {
    if (Platform.OS === 'web') {
      // Keep only last 20 patterns to prevent memory bloat
      const patternsToStore = this.patterns.slice(-20);
      localStorage.setItem('vibesflow_buffering_patterns', JSON.stringify(patternsToStore));
    }
  } catch (error) {
    console.warn('⚠️ Failed to save buffering patterns:', error);
  }
}

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Session Finalization

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Pattern Generation

When a session ends, comprehensive patterns are generated: 
endSession() {
  if (!this.currentSession.rtaId) return;

  const pattern: BufferingPattern = {
    rtaId: this.currentSession.rtaId,
    chunkFailures: this.currentSession.chunkFailures || [],
    sessionDuration: Date.now() - (this.currentSession.timestamp || Date.now()),
    userBehavior: this.currentSession.userBehavior || 'continuous',
    timestamp: this.currentSession.timestamp || Date.now(),
    totalChunks: this.currentSession.totalChunks || 0,
    completedChunks: this.currentSession.completedChunks || 0,
    bufferUnderflows: this.currentSession.bufferUnderflows || 0,
    networkQuality: this.currentSession.networkQuality || 'excellent'
  };

  this.patterns.push(pattern);
  this.savePatternsToStorage();
  
  // Reset session
  this.currentSession = {};
}

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Integration with Audio Streaming

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ContinuousAudioStreamer Integration

The VibeRepair system integrates with the audio streaming pipeline:

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Performance Optimization

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Memory Management

The system implements efficient memory management:
  • Pattern Limit: Only stores the last 20 patterns
  • Session Reset: Clears session data after each completion
  • Error Handling: Graceful fallback for storage failures

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Platform Compatibility

The system supports multiple platforms through React Native’s Platform API: 
import { Platform } from 'react-native';

// Platform-specific storage implementation
if (Platform.OS === 'web') {
  // Use localStorage for web
} else {
  // Use AsyncStorage for mobile (if implemented)
}

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Analytics Insights

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Pattern Analysis

The stored patterns can be analyzed to identify:
  1. Failure Hotspots: Specific chunk indices that consistently fail
  2. Network Correlations: Relationship between network quality and performance
  3. User Behavior Impact: How seeking affects buffering performance
  4. Session Duration Patterns: Optimal session lengths for different scenarios

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Optimization Recommendations

Based on collected patterns, the system can inform:
  • Buffer Size Adjustments: Optimal buffer sizes for different network conditions
  • Prefetch Strategies: Which chunks to prioritize based on failure patterns
  • User Experience: When to show loading indicators or quality warnings

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Error Handling

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Graceful Degradation

The system handles errors without affecting audio playback: 
try {
  // Analytics operations
} catch (error) {
  console.warn('⚠️ Analytics operation failed:', error);
  // Continue without analytics
}

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Storage Fallbacks

If storage operations fail, the system continues operation: 
private savePatternsToStorage() {
  try {
    // Storage operation
  } catch (error) {
    console.warn('⚠️ Failed to save buffering patterns:', error);
    // Analytics continues in memory only
  }
}

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Configuration

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Default Settings

The system operates with sensible defaults:
  • Maximum Stored Patterns: 20
  • Default Network Quality: ‘excellent’
  • Default User Behavior: ‘continuous’

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Customization

The system can be extended for additional metrics: 
// Example extension for custom metrics
interface ExtendedBufferingPattern extends BufferingPattern {
  deviceType: string;
  connectionType: string;
  audioQuality: number;
}

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Future Enhancements

The VibeRepair system is designed for extensibility:
  1. Machine Learning: Pattern recognition for predictive optimization
  2. Real-time Adaptation: Dynamic buffer adjustments based on patterns
  3. Cross-session Learning: Learning from historical patterns across users
  4. Advanced Analytics: More sophisticated failure prediction algorithms