bowling-analysis-system/src/bowling_analysis/metrics/calculators/EfficiencyCalculator.js

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

/**
 * @module bowling_analysis/metrics/calculators/EfficiencyCalculator
 * @description Calculator for efficiency-related metrics in Phase Three
 */

/**
 * Calculate efficiency-related metrics
 * @param {Object} metrics - Metrics from phases one and two
 * @param {Object} timeSeries - Time series data
 * @param {Object} events - Detected events
 * @param {Object} options - Calculator options
 * @returns {Promise<Object>} Efficiency metrics
 */
async function calculate(metrics, timeSeries, events, options = {}) {
  try {
    const { debug, includeTimeSeries } = options;
    
    // Initialize result
    const result = {};
    
    // Initialize time series
    const timeSeriesData = {};
    
    // Define efficiency metrics to calculate
    const efficiencyMetrics = [
      'powerTransfer',
      'energyConservation',
      'momentumTransfer',
      'sequentialMovement',
      'minimalWastedMovement',
      'smoothTransitions',
      'optimalTiming',
      'effortDistribution',
      'bodySegmentCoordination'
    ];
    
    // TODO: Implement actual efficiency metric calculations
    // For this stub, we'll just create placeholder data
    
    // Generate placeholder values for efficiency metrics
    for (const metricName of efficiencyMetrics) {
      result[metricName] = Math.random(); // Value between 0 and 1
    }
    
    // Calculate overall efficiency score (average of all metrics)
    const efficiencyValues = Object.values(result);
    result.overallEfficiency = efficiencyValues.reduce((sum, val) => sum + val, 0) / efficiencyValues.length;
    
    // Add time series data if requested
    if (includeTimeSeries) {
      const timeSeriesLength = timeSeries.frameIndex ? timeSeries.frameIndex.length : 0;
      
      // Only generate time series if we have frame data
      if (timeSeriesLength > 0) {
        for (const metricName of efficiencyMetrics) {
          const values = Array(timeSeriesLength).fill(null);
          
          // Add random values for frames around events
          if (events.releaseFrame) {
            const releaseFrame = events.releaseFrame;
            for (let i = Math.max(0, releaseFrame - 15); i < Math.min(timeSeriesLength, releaseFrame + 5); i++) {
              values[i] = Math.random();
            }
          }
          
          timeSeriesData[metricName] = values;
        }
      }
      
      result.timeSeries = timeSeriesData;
    }
    
    return result;
  } catch (error) {
    console.error(`Error calculating efficiency metrics: ${error.message}`);
    return {};
  }
}

module.exports = {
  calculate
};