Files
edx-platform/profile_graphs.js

180 lines
7.5 KiB
JavaScript

<%!
import json
%>
$(function () {
function showTooltip(x, y, contents) {
$('<div id="tooltip">' + contents + '</div>').css( {
position: 'absolute',
display: 'none',
top: y + 5,
left: x + 5,
border: '1px solid #fdd',
padding: '2px',
'background-color': '#fee',
opacity: 0.90
}).appendTo("body").fadeIn(200);
}
/* -------------------------------- Grade detail bars -------------------------------- */
var colors = [$.color.parse("#E8B800"), $.color.parse("#A0CEFA"), $.color.parse("#BD3738"), $.color.parse("#429A2E")];
//var colors = [$.color.parse("#1B2045"), $.color.parse("#557a00"), $.color.parse("#F5600"), $.color.parse("#FEBA2C")];
//var colors = [$.color.parse("#E7C856"), $.color.parse("#CD462E"), $.color.parse("#B01732"), $.color.parse("#41192A")];
//var colors = [$.color.parse("#434F5E"), $.color.parse("#BEF731"), $.color.parse("#FB5455"), $.color.parse("#44C4B7")];
//var colors = [$.color.parse("#147A7D"), $.color.parse("#C0C900"), $.color.parse("#C9005B"), $.color.parse("#FCF9A5")];
var series = [];
var ticks = []; //These are the indices and x-axis labels for the data
var bottomTicks = []; //Labels on the bottom
var detail_tooltips = {}; //This an dictionary mapping from 'section' -> array of detail_tooltips
var droppedScores = []; //These are the datapoints to indicate assignments which aren't factored into the total score
detail_tooltips['Dropped Scores'] = [];
<%
tickIndex = 1
sectionSpacer = 0.5
sectionIndex = 0
%>
%for section in grade_summary:
%if 'subscores' in section: ##This is for sections like labs or homeworks, with several smaller components and a total
series.push({label: "${section['category']}",
data: ${ json.dumps( [[i + tickIndex, score['percentage']] for i,score in enumerate(section['subscores'])] ) },
color: colors[${sectionIndex}].toString(),
});
ticks = ticks.concat( ${ json.dumps( [[i + tickIndex, score['label'] ] for i,score in enumerate(section['subscores'])] ) } );
bottomTicks.push( [ ${tickIndex + len(section['subscores'])/2}, "${section['category']}" ] );
detail_tooltips["${section['category']}"] = ${ json.dumps([score['summary'] for score in section['subscores']] ) };
droppedScores = droppedScores.concat(${ json.dumps( [[tickIndex + index, 0.05] for index in section['dropped_indices']]) });
<% dropExplanation = "The lowest {0} {1} scores are dropped".format( len(section['dropped_indices']), section['category'] ) %>
detail_tooltips['Dropped Scores'] = detail_tooltips['Dropped Scores'].concat( ${json.dumps( [dropExplanation] * len(section['dropped_indices']) )} );
<% tickIndex += len(section['subscores']) + sectionSpacer %>
##Now put on the aggregate score
series.push({label: "${section['category']} Total",
data: [[${tickIndex}, ${section['totalscore']['score']}]],
color: colors[${sectionIndex}].toString(),
});
ticks = ticks.concat( [ [${tickIndex}, "${section['totallabel']}"] ] );
detail_tooltips["${section['category']} Total"] = [ "${section['totalscore']['summary']}" ];
<% tickIndex += 1 + sectionSpacer %>
%else: ##This is for sections like midterm or final, which have no smaller components
series.push({label: "${section['category']}",
data: [[${tickIndex}, ${section['totalscore']['score']}]],
color: colors[${sectionIndex}].toString(),
});
ticks = ticks.concat( [ [${tickIndex}," ${section['totallabel']}"] ] );
detail_tooltips["${section['category']}"] = [ "${section['totalscore']['summary']}" ];
<% tickIndex += 1 + sectionSpacer %>
%endif
<%sectionIndex += 1 %>
%endfor
//Alwasy be sure that one series has the xaxis set to 2, or the second xaxis labels won't show up
series.push( {label: 'Dropped Scores', data: droppedScores, points: {symbol: "cross", show: true, radius: 3}, bars: {show: false}, color: "red"} );
/* ----------------------------- Grade overviewew bar -------------------------*/
<%
totalWeight = 0.0
sectionIndex = 0
totalScore = 0.0
overviewBarX = tickIndex
%>
%for section in grade_summary:
<%
weighted_score = section['totalscore']['score'] * section['weight']
summary_text = "{0} - {1:.1%} of a possible {2:.0%}".format(section['category'], weighted_score, section['weight'])
%>
%if section['totalscore']['score'] > 0:
series.push({label: "${section['category']} - Weighted",
data: [[${overviewBarX}, ${weighted_score}]],
color: colors[${sectionIndex}].toString(),
});
%endif
detail_tooltips["${section['category']} - Weighted"] = [ "${summary_text}" ];
<%
sectionIndex += 1
totalWeight += section['weight']
totalScore += section['totalscore']['score'] * section['weight']
%>
%endfor
ticks = ticks.concat( [ [${overviewBarX}, "Total"] ] );
<% tickIndex += 1 + sectionSpacer %>
var options = {
series: {stack: true,
lines: {show: false, steps: false },
bars: {show: true, barWidth: 0.6, align: 'center', lineWidth: 1},},
xaxis: {tickLength: 0, min: 0.0, max: ${tickIndex - sectionSpacer}, ticks: ticks, labelAngle: 90},
yaxis: {ticks: [[1, "100%"], [0.87, "A 87%"], [0.7, "B 70%"], [0.6, "C 60%"], [0, "0%"]], min: 0.0, max: 1.0, labelWidth: 50},
grid: { hoverable: true, clickable: true, borderWidth: 1,
markings: [ {yaxis: {from: 0.87, to: 1 }, color: "#EBFFD5"}, {yaxis: {from: 0.7, to: 0.87 }, color: "#E6FFFF"},
{yaxis: {from: 0.6, to: 0.7 }, color: "#FFF2E3"}, ] },
legend: {show: false},
};
var $grade_detail_graph = $("#grade-detail-graph");
if ($grade_detail_graph.length > 0) {
var plot = $.plot($grade_detail_graph, series, options);
var o = plot.pointOffset({x: ${overviewBarX} , y: ${totalScore}});
$grade_detail_graph.append('<div style="position:absolute;left:' + (o.left - 12) + 'px;top:' + (o.top - 20) + 'px">${"{totalscore:.0%}".format(totalscore=totalScore)}</div>');
// //Rotate the x-axis labels
// var rotateValue = "rotate(-60deg)";
// var rotateOrigin = "bottom left";
// $("#grade-detail-graph .x1Axis .tickLabel").css( {
// '-webkit-transform': rotateValue,
// '-moz-transform': rotateValue,
// '-ms-transform': rotateValue,
// '-o-transform': rotateValue,
// 'transform': rotateValue,
//
// '-webkit-transform-origin': rotateOrigin,
// '-moz-transform-origin': rotateOrigin,
// '-ms-transform-origin': rotateOrigin,
// '-o-transform-origin': rotateOrigin,
//
// 'text-align' : 'left',
// });
}
var previousPoint = null;
$("#grade-detail-graph").bind("plothover", function (event, pos, item) {
$("#x").text(pos.x.toFixed(2));
$("#y").text(pos.y.toFixed(2));
if (item) {
if (previousPoint != (item.dataIndex, item.seriesIndex)) {
previousPoint = (item.dataIndex, item.seriesIndex);
$("#tooltip").remove();
if (item.series.label in detail_tooltips) {
var series_tooltips = detail_tooltips[item.series.label];
if (item.dataIndex < series_tooltips.length) {
var x = item.datapoint[0].toFixed(2), y = item.datapoint[1].toFixed(2);
showTooltip(item.pageX, item.pageY, series_tooltips[item.dataIndex]);
}
}
}
} else {
$("#tooltip").remove();
previousPoint = null;
}
});
});