2 <script type="text/javascript" src="//www.google.com/jsapi"></script>
3 <link rel="stylesheet" href="/static/hpc_historical.css">
4 <script type="text/javascript">
5 google.load('visualization', '1', {'packages' : ['controls','table','corechart','geochart']});
8 <script type="text/javascript">
16 backgroundColor: "black"
19 // ask django for a data source URL to use for the graphs
21 function updateDataSourceUrl() {
22 var sliceName = $("#historical_slicename :selected").text();
23 var queryString = "/analytics/bigquery/?timeBucket=600&maxAge=86400&sum=@bytes_sent&avg=@cpu&groupBy=Time,city,@hostname,@site&slice=" + sliceName;
24 var loadingDiv = '<div class="loading">Loading ...</div>';
26 $( "#control1").html("");
27 $( "#control2").html("");
28 $( "#chart-site-agg" ).html(loadingDiv);
29 $( "#chart-site-time" ).html("");
30 $( "#chart-geo" ).html("");
36 success: function (newData) {
37 sendAndDraw(newData["dataSourceUrl"])
49 google.setOnLoadCallback(function () {
50 $('#historical_slicename').change(function()
52 updateDataSourceUrl();
55 updateDataSourceUrl();
58 function showSiteTimeAgg(dt) {
59 var lineChart = new google.visualization.ChartWrapper({
60 'chartType': 'LineChart',
61 'containerId': 'chart-site-time',
65 'title': 'Network-wide usage',
73 lineChart.setDataTable(dt);
77 function showSiteAgg(dt) {
78 var barChart = new google.visualization.ChartWrapper({
79 'chartType': 'ColumnChart',
80 'containerId': 'chart-site-agg',
84 'title': 'Site-wise usage',
92 barChart.setDataTable(dt);
94 var geoChart = new google.visualization.ChartWrapper({
95 'chartType': 'GeoChart',
96 'containerId': 'chart-geo',
100 'displayMode': 'markers',
102 'title': 'Usage map',
104 colors: ['green', 'purple', 'red']
111 geoChart.setDataTable(dt);
115 function handleResponse(response) {
116 var timeSlider = new google.visualization.ControlWrapper({
117 'controlType': 'DateRangeFilter',
118 'containerId': 'control1',
120 'filterColumnLabel': 'Time',
128 var categoryPicker = new google.visualization.ControlWrapper({
129 'controlType': 'CategoryFilter',
130 'allowMultiple': true,
131 'containerId': 'control2',
133 'filterColumnLabel': 'site',
135 'labelStacking': 'vertical',
141 var proxy = new google.visualization.ChartWrapper({
142 'chartType': 'Table',
143 'containerId': 'chart7',
153 'columns': [0, 1, 2, 3, 4, 5]
157 function avg_bandwidth(arr) {
159 for (var i = 0; i < arr.length; i++) {
160 ret+=arr[i]*8.0/1024.0/1024.0/1024.0;
165 return ret/arr.length;
168 function sum_bytes_sent_as_bw(arr) {
170 for (var i = 0; i < arr.length; i++) {
171 ret+=arr[i]*8.0/1024.0/1024.0/1024.0;
176 function sum_bytes_sent_as_GB(arr) {
178 for (var i = 0; i < arr.length; i++) {
179 ret+=arr[i]/1024.0/1024.0/1024.0;
184 function fixDate2(unixDate) {
185 // not completely sure why we have to do this, as the data was in
186 // javascript Date() objects to start with. If we don't do it,
187 // then the horizontal axis will be blank.
188 return new Date(unixDate);
191 var format0dp = new google.visualization.NumberFormat({fractionDigits:0});
192 var format2dp = new google.visualization.NumberFormat({fractionDigits:2});
194 // Create a group for charts that will have a horizontal axis that is
197 google.visualization.events.addListener(proxy, 'ready', function () {
198 var dt = proxy.getDataTable();
199 var groupedData1 = google.visualization.data.group(dt, [{
207 aggregation: google.visualization.data.avg
209 column: BANDWIDTH_COL,
212 aggregation: sum_bytes_sent_as_bw
215 format0dp.format(groupedData1,1);
216 format2dp.format(groupedData1,2);
218 showSiteTimeAgg(groupedData1);
221 // Create a group for charts that will have a horizontal axis that is
224 google.visualization.events.addListener(proxy, 'ready', function () {
225 var dt = proxy.getDataTable();
226 var groupedData0 = google.visualization.data.group(dt, [CITY_COL, SITE_COL], [{
230 aggregation: google.visualization.data.avg
232 column: BANDWIDTH_COL,
235 aggregation: sum_bytes_sent_as_GB
238 format0dp.format(groupedData0,2);
239 format2dp.format(groupedData0,3);
241 showSiteAgg(groupedData0);
244 data = response.getDataTable();
245 new google.visualization.Dashboard(document.getElementById('dashboard')).
246 // Establish bindings, declaring the both the slider and the category
247 // picker will drive both charts.
248 bind([categoryPicker, timeSlider], [proxy]).
249 // Draw the entire dashboard.
254 function sendAndDraw(queryString) {
255 query = new google.visualization.Query(queryString)
256 query && query.abort();
257 query.send(function (response) {
258 handleResponse(response);
263 <div id="dashboard" class="graph_container">
265 <span><b>Slice Name:</b></span>
266 <span><select id="historical_slicename">
267 {% for slice in userSliceInfo %}
268 <option value="{{ slice.slicename }}">{{ slice.slicename }}</option>
272 <div class="row" dstyle="background-color:red">
273 <div class="col-md-12">
274 <div class="col-md-4" id="control2"></div>
275 <div class="col-md-4" id="control1"></div>
276 <!--<div class="col-md-4" id="control3"></div>-->
279 <div class="row" dstyle="background-color:green">
280 <div class="col-md-12">
281 <div class="col-md-fullgraph" id="chart-site-agg" dstyle="background-color:pink">
285 <div class="row" dstyle="background-color:blue">
286 <div class="col-md-12">
287 <div class="col-md-halfgraph" id="chart-site-time" dstyle="background-color:orange">
289 <div class="col-md-halfgraph" id="chart-geo" dstyle="background-color:yellow">
294 <div id="chart7" style="display:none"></div>