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">
13 showRowNumber: false,
\r
16 backgroundColor: "black"
\r
19 // ask django for a data source URL to use for the graphs
\r
21 function updateDataSourceUrl() {
\r
22 var sliceName = $("#historical_slicename :selected").text();
\r
23 var queryString = "/analytics/bigquery/?sum=@bytes_sent&avg=@cpu&groupBy=Time,city,@hostname,@site&slice=" + sliceName;
\r
29 success: function (newData) {
\r
30 sendAndDraw(newData["dataSourceUrl"])
\r
42 google.setOnLoadCallback(function () {
\r
43 $('#historical_slicename').change(function()
\r
45 updateDataSourceUrl();
\r
48 updateDataSourceUrl();
\r
51 function showSiteTimeAgg(dt) {
\r
52 var lineChart = new google.visualization.ChartWrapper({
\r
53 'chartType': 'LineChart',
\r
54 'containerId': 'chart-site-time',
\r
58 'title': 'Network-wide usage',
\r
63 'columns': [0, 1, 2]
\r
66 lineChart.setDataTable(dt);
\r
70 function showSiteAgg(dt) {
\r
71 var barChart = new google.visualization.ChartWrapper({
\r
72 'chartType': 'ColumnChart',
\r
73 'containerId': 'chart-site-agg',
\r
77 'title': 'Site-wise usage',
\r
82 'columns': [1, 2, 3]
\r
85 barChart.setDataTable(dt);
\r
87 var geoChart = new google.visualization.ChartWrapper({
\r
88 'chartType': 'GeoChart',
\r
89 'containerId': 'chart-geo',
\r
93 'displayMode': 'markers',
\r
95 'title': 'Usage map',
\r
97 colors: ['green', 'purple', 'red']
\r
101 'columns': [0, 2, 3]
\r
104 geoChart.setDataTable(dt);
\r
107 /* var histogram = new google.visualization.ChartWrapper({
\r
108 'chartType': 'Histogram',
\r
109 'containerId': 'chart-histo',
\r
114 'title': 'Sites by load',
\r
119 histogram.setDataTable(dt);
\r
120 histogram.draw(); */
\r
124 function handleResponse(response) {
\r
125 var timeSlider = new google.visualization.ControlWrapper({
\r
126 'controlType': 'DateRangeFilter',
\r
127 'containerId': 'control1',
\r
129 'filterColumnLabel': 'Time',
\r
137 var categoryPicker = new google.visualization.ControlWrapper({
\r
138 'controlType': 'CategoryFilter',
\r
139 'allowMultiple': true,
\r
140 'containerId': 'control2',
\r
142 'filterColumnLabel': 'site',
\r
144 'labelStacking': 'vertical',
\r
145 'allowTyping': false
\r
150 var proxy = new google.visualization.ChartWrapper({
\r
151 'chartType': 'Table',
\r
152 'containerId': 'chart7',
\r
162 'columns': [0, 1, 2, 3, 4, 5]
\r
166 function avg_bandwidth(arr) {
\r
168 for (var i = 0; i < arr.length; i++) {
169 ret+=arr[i]*8.0/1024.0/1024.0/1024.0;
174 return ret/arr.length;
177 function sum_bytes_sent_as_bw(arr) {
\r
179 for (var i = 0; i < arr.length; i++) {
180 ret+=arr[i]*8.0/1024.0/1024.0/1024.0;
185 function sum_bytes_sent_as_GB(arr) {
\r
187 for (var i = 0; i < arr.length; i++) {
188 ret+=arr[i]/1024.0/1024.0/1024.0;
193 function fixDate2(unixDate) {
\r
194 // not completely sure why we have to do this, as the data was in
\r
195 // javascript Date() objects to start with. If we don't do it,
\r
196 // then the horizontal axis will be blank.
\r
197 return new Date(unixDate);
200 var format0dp = new google.visualization.NumberFormat({fractionDigits:0});
\r
201 var format2dp = new google.visualization.NumberFormat({fractionDigits:2});
\r
203 // Create a group for charts that will have a horizontal axis that is
\r
206 google.visualization.events.addListener(proxy, 'ready', function () {
\r
207 var dt = proxy.getDataTable();
\r
208 var groupedData1 = google.visualization.data.group(dt, [{
\r
216 aggregation: google.visualization.data.avg
\r
218 column: BANDWIDTH_COL,
\r
221 aggregation: sum_bytes_sent_as_bw
\r
224 format0dp.format(groupedData1,1);
\r
225 format2dp.format(groupedData1,2);
\r
227 showSiteTimeAgg(groupedData1);
\r
230 // Create a group for charts that will have a horizontal axis that is
\r
233 google.visualization.events.addListener(proxy, 'ready', function () {
\r
234 var dt = proxy.getDataTable();
\r
235 var groupedData0 = google.visualization.data.group(dt, [CITY_COL, SITE_COL], [{
\r
239 aggregation: google.visualization.data.avg
\r
241 column: BANDWIDTH_COL,
\r
244 aggregation: sum_bytes_sent_as_GB
\r
247 format0dp.format(groupedData0,2);
\r
248 format2dp.format(groupedData0,3);
\r
250 showSiteAgg(groupedData0);
\r
253 data = response.getDataTable();
\r
254 new google.visualization.Dashboard(document.getElementById('dashboard')).
\r
255 // Establish bindings, declaring the both the slider and the category
\r
256 // picker will drive both charts.
\r
257 bind([categoryPicker, timeSlider], [proxy]).
\r
258 // Draw the entire dashboard.
\r
263 function sendAndDraw(queryString) {
\r
264 query = new google.visualization.Query(queryString)
\r
265 query && query.abort();
\r
266 query.send(function (response) {
\r
267 handleResponse(response);
\r
272 <div id="dashboard" class="graph_container">
274 <span><b>Slice Name:</b></span>
275 <span><select id="historical_slicename">
276 {% for slice in userSliceInfo %}
277 <option value="{{ slice.slicename }}">{{ slice.slicename }}</option>
281 <div class="row" dstyle="background-color:red">
282 <div class="col-md-12">
283 <div class="col-md-4" id="control2"></div>
284 <div class="col-md-4" id="control1"></div>
285 <!--<div class="col-md-4" id="control3"></div>-->
288 <div class="row" dstyle="background-color:green">
289 <div class="col-md-12">
290 <div class="col-md-fullgraph" id="chart-site-agg" dstyle="background-color:pink">
294 <div class="row" dstyle="background-color:blue">
295 <div class="col-md-12">
296 <div class="col-md-halfgraph" id="chart-site-time" dstyle="background-color:orange">
298 <div class="col-md-halfgraph" id="chart-geo" dstyle="background-color:yellow">
303 <div id="chart7" style="display:none"></div>