Calculates the average class grade based on the mean of each individual assignment. WIP.

canvas_class_average.js

// ==UserScript==
// @name         Canvas average class grade
// @namespace    sethj@ubuntu.com
// @version      0.1a
// @description  Calculate class average grade
// @author       Seth Johnson
// @match        https://egator.greenriver.edu/courses/*/grades
// @grant        none
// ==/UserScript==

(function() {
    'use strict';
    // We're storing the rubric here in a category:decimal_percentage dictionary.
    var rubric = {};
    var mean_grades = {};
    var weighted_grades = []

    // grab the rubric from the page. Convert the percentages into decimals for later. We'll also replace any strings in the category names with underscores.
    $('.summary').find('tbody > tr').each(function() {
        var category = $(this).find('th').text().replace(' ', '_');
        mean_grades[category] = [];
        rubric[category] = (parseInt($(this).find('td').text()) * .01)
    })
    //DEBUG console.log(mean_grades);
    //DEBUG console.log(rubric);
    $('.grade_details').each(function() {
        //DEBUG console.log($(this));
        var category = $(this).prev().prev().find('.context').text().replace(' ', '_');
        //DEBUG console.log(category);
        var meanPoints = $(this).find('tbody').find('td').filter(':first').text().split(':')[1];
        var totalPoints = $(this).prev().prev().find('.points_possible').text();
        //console.log("Total is: " + totalPoints);
        if (typeof meanPoints != "undefined" && meanPoints != NaN) {
            meanPoints = parseFloat(meanPoints.replace(/,/g, ''));
            totalPoints = parseFloat(totalPoints.replace(/,/g, ''));
            var meanGrade = ((meanPoints / totalPoints) * 100).toPrecision(4);
            //DEBUGconsole.log("Mean is: " + meanGrade);
            mean_grades[category].push(meanGrade)
        } else {
            return;
        }
        //DEBUG console.log(mean_grades);
        //console.log(meanGrade); //DEBUG
        //console.log(typeof(meanGrade)); //DEBUG
    })
    for (var category_i in mean_grades) {
        var category = mean_grades[category_i];
        //console.log("Category is: " + category_i);
        //console.log("Data is: ");console.log(category); //DEBUG
        for (var grade_i in category) {

            var grade = mean_grades[category_i][grade_i];
            var adjusted_grade = (grade * rubric[category_i]).toPrecision(4);
            weighted_grades.push(parseFloat(adjusted_grade));
            //console.log("Grade is: " + grade);
            //console.log("Adjusted is: " + adjusted_grade);
        }
    }
    console.log(weighted_grades);
    const reducer = (accumulator, currVal) => accumulator + currVal;
    console.log(weighted_grades.reduce(reducer).toFixed(2));
    console.log(typeof(weighted_grades.reduce(reducer)));
    console.log(weighted_grades.length);
    var class_average = weighted_grades.reduce(reducer) / weighted_grades.length;
    console.log(class_average);

})();