| |
| <script type="text/javascript" src="//www.google.com/jsapi"></script> |
| <link rel="stylesheet" href="/static/hpc_historical.css"> |
| <script type="text/javascript"> |
| google.load('visualization', '1', {'packages' : ['controls','table','corechart','geochart']}); |
| </script> |
| |
| <script type="text/javascript"> |
| |
| var options = { |
|
width: 600, |
| height: 400, |
| showRowNumber: false, |
| pages: true, |
| numRows: 9, |
| backgroundColor: "black" |
| }; |
| |
| // ask django for a data source URL to use for the graphs |
| |
| function updateDataSourceUrl() { |
| var sliceName = $("#historical_slicename :selected").text(); |
| var queryString = "/analytics/bigquery/?timeBucket=600&maxAge=86400&sum=@bytes_sent&avg=@cpu&groupBy=Time,city,@hostname,@site&slice=" + sliceName; |
| |
| $.ajax({ |
| url: queryString, |
| dataType: 'json', |
| type: 'GET', |
| success: function (newData) { |
| sendAndDraw(newData["dataSourceUrl"]) |
| } |
| }); |
| } |
| |
| TIME_COL = 0; |
| BANDWIDTH_COL = 2; |
| CPU_COL = 1; |
| CITY_COL = 3; |
| NODE_COL = 4; |
| SITE_COL = 5; |
| |
| google.setOnLoadCallback(function () { |
| $('#historical_slicename').change(function() |
| { |
| updateDataSourceUrl(); |
| }); |
| |
| updateDataSourceUrl(); |
| }); |
| |
| function showSiteTimeAgg(dt) { |
| var lineChart = new google.visualization.ChartWrapper({ |
| 'chartType': 'LineChart', |
| 'containerId': 'chart-site-time', |
| 'options': { |
| 'width': 320, |
| 'height': 300, |
| 'title': 'Network-wide usage', |
| 'pages': true, |
| 'numRows': 9 |
| }, |
| 'view': { |
| 'columns': [0, 1, 2] |
| } |
| }); |
| lineChart.setDataTable(dt); |
| lineChart.draw(); |
| } |
| |
| function showSiteAgg(dt) { |
| var barChart = new google.visualization.ChartWrapper({ |
| 'chartType': 'ColumnChart', |
| 'containerId': 'chart-site-agg', |
| 'options': { |
| 'width': 670, |
| 'height': 300, |
| 'title': 'Site-wise usage', |
| 'pages': true, |
| 'numRows': 9 |
| }, |
| 'view': { |
| 'columns': [1, 2, 3] |
| } |
| }); |
| barChart.setDataTable(dt); |
| barChart.draw(); |
| var geoChart = new google.visualization.ChartWrapper({ |
| 'chartType': 'GeoChart', |
| 'containerId': 'chart-geo', |
| 'options': { |
| 'width': 320, |
| 'height': 300, |
| 'displayMode': 'markers', |
| 'region': '021', |
| 'title': 'Usage map', |
| colorAxis: { |
| colors: ['green', 'purple', 'red'] |
| } |
| }, |
| 'view': { |
| 'columns': [0, 2, 3] |
| } |
| }); |
| geoChart.setDataTable(dt); |
| geoChart.draw(); |
| |
| /* var histogram = new google.visualization.ChartWrapper({ |
| 'chartType': 'Histogram', |
| 'containerId': 'chart-histo', |
| 'options': { |
| 'width': 300, |
| 'height': 300, |
| }, |
| 'title': 'Sites by load', |
| 'view': { |
| 'columns': [1, 2] |
| } |
| }); |
| histogram.setDataTable(dt); |
| histogram.draw(); */ |
| |
| } |
| |
| function handleResponse(response) { |
| var timeSlider = new google.visualization.ControlWrapper({ |
| 'controlType': 'DateRangeFilter', |
| 'containerId': 'control1', |
| 'options': { |
| 'filterColumnLabel': 'Time', |
| ui: { |
| ticks: 10, |
| step: "minute" |
| } |
| } |
| }); |
| |
| var categoryPicker = new google.visualization.ControlWrapper({ |
| 'controlType': 'CategoryFilter', |
| 'allowMultiple': true, |
| 'containerId': 'control2', |
| 'options': { |
| 'filterColumnLabel': 'site', |
| 'ui': { |
| 'labelStacking': 'vertical', |
| 'allowTyping': false |
| } |
| } |
| }); |
| |
| var proxy = new google.visualization.ChartWrapper({ |
| 'chartType': 'Table', |
| 'containerId': 'chart7', |
| 'options': { |
| 'width': 800, |
| 'height': 300, |
| pageSize: 5, |
| page: 'enable', |
| 'legend': 'none', |
| 'title': 'Nodes' |
| }, |
| 'view': { |
| 'columns': [0, 1, 2, 3, 4, 5] |
| } |
| }); |
| |
| function avg_bandwidth(arr) { |
| var ret = 0; |
| for (var i = 0; i < arr.length; i++) { |
| ret+=arr[i]*8.0/1024.0/1024.0/1024.0; |
| } |
| if (arr.length==0) { |
| return 0; |
| } |
| return ret/arr.length; |
| } |
| |
| function sum_bytes_sent_as_bw(arr) { |
| var ret = 0; |
| for (var i = 0; i < arr.length; i++) { |
| ret+=arr[i]*8.0/1024.0/1024.0/1024.0; |
| } |
| return ret/60.0; |
| } |
| |
| function sum_bytes_sent_as_GB(arr) { |
| var ret = 0; |
| for (var i = 0; i < arr.length; i++) { |
| ret+=arr[i]/1024.0/1024.0/1024.0; |
| } |
| return ret; |
| } |
| |
| function fixDate2(unixDate) { |
| // not completely sure why we have to do this, as the data was in |
| // javascript Date() objects to start with. If we don't do it, |
| // then the horizontal axis will be blank. |
| return new Date(unixDate); |
| } |
| |
| var format0dp = new google.visualization.NumberFormat({fractionDigits:0}); |
| var format2dp = new google.visualization.NumberFormat({fractionDigits:2}); |
| |
| // Create a group for charts that will have a horizontal axis that is |
| // time. |
| |
| google.visualization.events.addListener(proxy, 'ready', function () { |
| var dt = proxy.getDataTable(); |
| var groupedData1 = google.visualization.data.group(dt, [{ |
| column: TIME_COL, |
| type: 'datetime', |
| modifier: fixDate2, |
| }], [{ |
| column: CPU_COL, |
| type: 'number', |
| label: "avg cpu", |
| aggregation: google.visualization.data.avg |
| }, { |
| column: BANDWIDTH_COL, |
| type: 'number', |
| label: "Gbps", |
| aggregation: sum_bytes_sent_as_bw |
| }]); |
| |
| format0dp.format(groupedData1,1); |
| format2dp.format(groupedData1,2); |
| |
| showSiteTimeAgg(groupedData1); |
| }); |
| |
| // Create a group for charts that will have a horizontal axis that is |
| // city or site. |
| |
| google.visualization.events.addListener(proxy, 'ready', function () { |
| var dt = proxy.getDataTable(); |
| var groupedData0 = google.visualization.data.group(dt, [CITY_COL, SITE_COL], [{ |
| column: CPU_COL, |
| type: 'number', |
| label: 'avg cpu', |
| aggregation: google.visualization.data.avg |
| }, { |
| column: BANDWIDTH_COL, |
| type: 'number', |
| label: "GB sent", |
| aggregation: sum_bytes_sent_as_GB |
| }]); |
| |
| format0dp.format(groupedData0,2); |
| format2dp.format(groupedData0,3); |
| |
| showSiteAgg(groupedData0); |
| }); |
| |
| data = response.getDataTable(); |
| new google.visualization.Dashboard(document.getElementById('dashboard')). |
| // Establish bindings, declaring the both the slider and the category |
| // picker will drive both charts. |
| bind([categoryPicker, timeSlider], [proxy]). |
| // Draw the entire dashboard. |
| draw(data); |
| |
| } |
| |
| function sendAndDraw(queryString) { |
| query = new google.visualization.Query(queryString) |
| query && query.abort(); |
| query.send(function (response) { |
| handleResponse(response); |
| }); |
| } |
| |
| </script> |
| <div id="dashboard" class="graph_container"> |
| <div class="row"> |
| <span><b>Slice Name:</b></span> |
| <span><select id="historical_slicename"> |
| {% for slice in userSliceInfo %} |
| <option value="{{ slice.slicename }}">{{ slice.slicename }}</option> |
| {% endfor %} |
| </select></span> |
| </div> |
| <div class="row" dstyle="background-color:red"> |
| <div class="col-md-12"> |
| <div class="col-md-4" id="control2"></div> |
| <div class="col-md-4" id="control1"></div> |
| <!--<div class="col-md-4" id="control3"></div>--> |
| </div> |
| </div> |
| <div class="row" dstyle="background-color:green"> |
| <div class="col-md-12"> |
| <div class="col-md-fullgraph" id="chart-site-agg" dstyle="background-color:pink"> |
| </div> |
| </div> |
| </div> |
| <div class="row" dstyle="background-color:blue"> |
| <div class="col-md-12"> |
| <div class="col-md-halfgraph" id="chart-site-time" dstyle="background-color:orange"> |
| </div> |
| <div class="col-md-halfgraph" id="chart-geo" dstyle="background-color:yellow"> |
| </div> |
| </div> |
| </div> |
| </div> |
| <div id="chart7" style="display:none"></div> |