/**
 * WKFYR Growth Lever Recommendations
 */
(function () {
  'use strict';

  var App = window.BenchmarkApp;

  /**
   * Calculate growth lever recommendations from scoring metrics.
   * @param {Object} scoring — result from calculateScoring()
   * @returns {Object} lever scores with priorities and ranks
   */
  App.calculateRecommendations = function (scoring) {
    var levers = { ppc: 0, listing: 0, seo: 0, account: 0 };
    var metricNames = ['revenue', 'budget', 'asins', 'growth'];

    // Sum WKFYR contributions across all metrics
    for (var i = 0; i < metricNames.length; i++) {
      var metric = metricNames[i];
      var tierLetter = scoring.metrics[metric].tierLetter;
      var contributions = App.WKFYR_MATRIX[metric][tierLetter];

      levers.ppc     += contributions.ppc;
      levers.listing += contributions.listing;
      levers.seo     += contributions.seo;
      levers.account += contributions.account;
    }

    // Round to avoid float artifacts
    var leverNames = ['ppc', 'listing', 'seo', 'account'];
    for (var j = 0; j < leverNames.length; j++) {
      levers[leverNames[j]] = Math.round(levers[leverNames[j]] * 100) / 100;
    }

    // Sort by score descending to assign ranks
    var sorted = leverNames.slice().sort(function (a, b) {
      return levers[b] - levers[a];
    });

    // Build result
    var result = {};
    for (var k = 0; k < sorted.length; k++) {
      var name = sorted[k];
      var score = levers[name];
      var priority;
      if (score >= 0.50) priority = 'HIGH';
      else if (score >= 0.30) priority = 'MEDIUM';
      else priority = 'LOW';

      result[name] = {
        score: score,
        priority: priority,
        rank: k + 1
      };
    }

    return result;
  };
})();