008769587b
- Overview displays charts/reports (Currently only placeholders) - Configurations allows to define new backup configurations and link them to instances - Backups shows a list of all succesful backups and allows to restore them - Restores shows a history of all restored backups It communicates with the api server via the client apis (freeezer.client.client). The "glue code" between client apis and the UI lives in freezer.api.api. Implements: Blueprint freezer-api-web-ui Change-Id: I48cd8cba2b0169c6e64f650233c1a31b91ced34f
196 lines
8.3 KiB
JavaScript
196 lines
8.3 KiB
JavaScript
function dashboard(id, fData){
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var barColor = '#006CCF';
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function segColor(c){ return {binary:"#807dba", text:"#e08214",media:"#41ab5d"}[c]; }
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// compute total for each state.
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fData.forEach(function(d){d.total=d.freq.binary+d.freq.text+d.freq.media;});
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// function to handle histogram.
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function histoGram(fD){
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var hG={}, hGDim = {t: 60, r: 0, b: 30, l: 0};
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hGDim.w = 500 - hGDim.l - hGDim.r,
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hGDim.h = 300 - hGDim.t - hGDim.b;
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//create svg for histogram.
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var hGsvg = d3.select(id).append("svg")
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.attr("width", hGDim.w + hGDim.l + hGDim.r)
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.attr("height", hGDim.h + hGDim.t + hGDim.b).append("g")
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.attr("transform", "translate(" + hGDim.l + "," + hGDim.t + ")");
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// create function for x-axis mapping.
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var x = d3.scale.ordinal().rangeRoundBands([0, hGDim.w], 0.1)
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.domain(fD.map(function(d) { return d[0]; }));
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// Add x-axis to the histogram svg.
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hGsvg.append("g").attr("class", "x axis")
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.attr("transform", "translate(0," + hGDim.h + ")")
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.call(d3.svg.axis().scale(x).orient("bottom"));
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// Create function for y-axis map.
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var y = d3.scale.linear().range([hGDim.h, 0])
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.domain([0, d3.max(fD, function(d) { return d[1]; })]);
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// Create bars for histogram to contain rectangles and freq labels.
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var bars = hGsvg.selectAll(".bar").data(fD).enter()
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.append("g").attr("class", "bar");
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//create the rectangles.
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bars.append("rect")
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.attr("x", function(d) { return x(d[0]); })
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.attr("y", function(d) { return y(d[1]); })
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.attr("width", x.rangeBand())
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.attr("height", function(d) { return hGDim.h - y(d[1]); })
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.attr('fill',barColor)
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.on("mouseover",mouseover)// mouseover is defined below.
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.on("mouseout",mouseout);// mouseout is defined below.
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//Create the frequency labels above the rectangles.
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bars.append("text").text(function(d){ return d3.format(",")(d[1])})
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.attr("x", function(d) { return x(d[0])+x.rangeBand()/2; })
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.attr("y", function(d) { return y(d[1])-5; })
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.attr("text-anchor", "middle");
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function mouseover(d){ // utility function to be called on mouseover.
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// filter for selected state.
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var st = fData.filter(function(s){ return s.State == d[0];})[0],
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nD = d3.keys(st.freq).map(function(s){ return {type:s, freq:st.freq[s]};});
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// call update functions of pie-chart and legend.
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pC.update(nD);
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leg.update(nD);
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}
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function mouseout(d){ // utility function to be called on mouseout.
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// reset the pie-chart and legend.
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pC.update(tF);
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leg.update(tF);
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}
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// create function to update the bars. This will be used by pie-chart.
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hG.update = function(nD, color){
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// update the domain of the y-axis map to reflect change in frequencies.
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y.domain([0, d3.max(nD, function(d) { return d[1]; })]);
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// Attach the new data to the bars.
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var bars = hGsvg.selectAll(".bar").data(nD);
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// transition the height and color of rectangles.
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bars.select("rect").transition().duration(500)
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.attr("y", function(d) {return y(d[1]); })
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.attr("height", function(d) { return hGDim.h - y(d[1]); })
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.attr("fill", color);
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// transition the frequency labels location and change value.
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bars.select("text").transition().duration(500)
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.text(function(d){ return d3.format(",")(d[1])})
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.attr("y", function(d) {return y(d[1])-5; });
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}
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return hG;
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}
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// function to handle pieChart.
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function pieChart(pD){
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var pC ={}, pieDim ={w:250, h: 250};
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pieDim.r = Math.min(pieDim.w, pieDim.h) / 2;
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// create svg for pie chart.
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var piesvg = d3.select(id).append("svg")
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.attr("width", pieDim.w).attr("height", pieDim.h).append("g")
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.attr("transform", "translate("+pieDim.w/2+","+pieDim.h/2+")");
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// create function to draw the arcs of the pie slices.
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var arc = d3.svg.arc().outerRadius(pieDim.r - 10).innerRadius(0);
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// create a function to compute the pie slice angles.
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var pie = d3.layout.pie().sort(null).value(function(d) { return d.freq; });
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// Draw the pie slices.
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piesvg.selectAll("path").data(pie(pD)).enter().append("path").attr("d", arc)
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.each(function(d) { this._current = d; })
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.style("fill", function(d) { return segColor(d.data.type); })
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.on("mouseover",mouseover).on("mouseout",mouseout);
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// create function to update pie-chart. This will be used by histogram.
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pC.update = function(nD){
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piesvg.selectAll("path").data(pie(nD)).transition().duration(500)
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.attrTween("d", arcTween);
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}
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// Utility function to be called on mouseover a pie slice.
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function mouseover(d){
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// call the update function of histogram with new data.
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hG.update(fData.map(function(v){
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return [v.State,v.freq[d.data.type]];}),segColor(d.data.type));
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}
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//Utility function to be called on mouseout a pie slice.
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function mouseout(d){
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// call the update function of histogram with all data.
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hG.update(fData.map(function(v){
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return [v.State,v.total];}), barColor);
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}
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// Animating the pie-slice requiring a custom function which specifies
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// how the intermediate paths should be drawn.
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function arcTween(a) {
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var i = d3.interpolate(this._current, a);
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this._current = i(0);
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return function(t) { return arc(i(t)); };
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}
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return pC;
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}
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// function to handle legend.
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function legend(lD){
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var leg = {};
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// create table for legend.
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var legend = d3.select(id).append("table").attr('class','legend');
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// create one row per segment.
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var tr = legend.append("tbody").selectAll("tr").data(lD).enter().append("tr");
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// create the first column for each segment.
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tr.append("td").append("svg").attr("width", '16').attr("height", '16').append("rect")
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.attr("width", '16').attr("height", '16')
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.attr("fill",function(d){ return segColor(d.type); });
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// create the second column for each segment.
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tr.append("td").text(function(d){ return d.type;});
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// create the third column for each segment.
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tr.append("td").attr("class",'legendFreq')
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.text(function(d){ return d3.format(",")(d.freq);});
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// create the fourth column for each segment.
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tr.append("td").attr("class",'legendPerc')
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.text(function(d){ return getLegend(d,lD);});
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// Utility function to be used to update the legend.
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leg.update = function(nD){
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// update the data attached to the row elements.
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var l = legend.select("tbody").selectAll("tr").data(nD);
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// update the frequencies.
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l.select(".legendFreq").text(function(d){ return d3.format(",")(d.freq);});
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// update the percentage column.
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l.select(".legendPerc").text(function(d){ return getLegend(d,nD);});
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}
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function getLegend(d,aD){ // Utility function to compute percentage.
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return d3.format("%")(d.freq/d3.sum(aD.map(function(v){ return v.freq; })));
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}
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return leg;
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}
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// calculate total frequency by segment for all state.
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var tF = ['binary','text','media'].map(function(d){
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return {type:d, freq: d3.sum(fData.map(function(t){ return t.freq[d];}))};
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});
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// calculate total frequency by state for all segment.
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var sF = fData.map(function(d){return [d.State,d.total];});
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var hG = histoGram(sF), // create the histogram.
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pC = pieChart(tF), // create the pie-chart.
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leg= legend(tF); // create the legend.
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} |