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