bowling-analysis-system/src/processors/AnalysisProcessor.js

A comprehensive system for analyzing bowling techniques using video processing and metrics calculation

/**
 * Analysis Processor
 * 
 * Analyzes metrics to generate insights and recommendations
 * @module processors/AnalysisProcessor
 */

const { BaseProcessor } = require('../core/BaseProcessor');

/**
 * @class AnalysisProcessor
 * @description Processor for analyzing metrics and generating insights
 * @extends BaseProcessor
 */
class AnalysisProcessor extends BaseProcessor {
  /**
   * Create a new analysis processor
   * @param {Object} config - Processor configuration
   */
  constructor(config = {}) {
    super('analysis', config);
    this.analyzers = new Map();
  }

  /**
   * Register an analyzer
   * @param {string} name - Analyzer name
   * @param {Function} analyzer - Analyzer function
   * @returns {AnalysisProcessor} Processor instance for chaining
   */
  registerAnalyzer(name, analyzer) {
    this.analyzers.set(name, analyzer);
    return this;
  }

  /**
   * Process input by analyzing metrics
   * @param {Object} input - Input metrics data
   * @param {Object} context - Processing context
   * @returns {Promise<Object>} Analysis results
   * @protected
   */
  async _process(input, context) {
    if (!input || !input.metrics) {
      throw new Error('Invalid input data: missing metrics');
    }
    
    const includeRecommendations = this.config.includeRecommendations !== false;
    const confidenceThreshold = this.config.confidenceThreshold || 0.6;
    
    // Placeholder for actual analysis logic
    const analysis = {
      timestamp: Date.now(),
      insights: [
        {
          category: 'technique',
          aspect: 'shoulder_rotation',
          finding: 'Shoulder rotation is below optimal range',
          confidence: 0.85,
          impact: 'high',
          metrics: ['angle.shoulder.mean', 'angle.shoulder.max']
        },
        {
          category: 'technique',
          aspect: 'wrist_position',
          finding: 'Wrist position is optimal during release',
          confidence: 0.92,
          impact: 'positive',
          metrics: ['angle.wrist.mean', 'position.stability.mean']
        },
        {
          category: 'timing',
          aspect: 'backswing_duration',
          finding: 'Backswing duration is longer than optimal',
          confidence: 0.78,
          impact: 'medium',
          metrics: ['timing.backswing']
        },
        {
          category: 'velocity',
          aspect: 'approach_speed',
          finding: 'Approach speed is consistent but slightly slow',
          confidence: 0.65,
          impact: 'low',
          metrics: ['velocity.approach.mean', 'velocity.approach.stdDev']
        }
      ]
    };
    
    // Filter insights by confidence
    analysis.insights = analysis.insights.filter(insight => 
      insight.confidence >= confidenceThreshold
    );
    
    // Generate recommendations if configured
    if (includeRecommendations) {
      analysis.recommendations = [
        {
          priority: 1,
          category: 'technique',
          recommendation: 'Increase shoulder rotation during backswing',
          drills: ['Shoulder rotation drill', 'Wall drill with focus on rotation'],
          relatedInsights: ['shoulder_rotation']
        },
        {
          priority: 2,
          category: 'timing',
          recommendation: 'Reduce backswing duration by 15-20%',
          drills: ['Tempo drill', 'Metronome practice'],
          relatedInsights: ['backswing_duration']
        },
        {
          priority: 3,
          category: 'velocity',
          recommendation: 'Increase approach speed gradually',
          drills: ['Progressive speed drill', 'Step timing practice'],
          relatedInsights: ['approach_speed']
        }
      ];
    }
    
    return {
      metrics: input.metrics,
      events: input.events,
      analysis
    };
  }
}

module.exports = AnalysisProcessor;