| <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; | |
| $( "#control1").html(""); | |
| $( "#control2").html(""); | |
| $( "#chart-site-agg" ).html("<div class='loading'>Loading ...</div>"); | |
| $( "#chart-site-time" ).html(""); | |
| $( "#chart-geo" ).html(""); | |
| $.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(); | |
| } | |
| 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}); | |
| if (response.isError()) { | |
| $( "#chart-site-agg" ).html("<div class='loading'>Error while fetching data.</div>"); | |
| return; | |
| } | |
| if (response.getDataTable().getNumberOfRows() == 0) { | |
| $( "#chart-site-agg" ).html("<div class='loading'>No data for this slice.</div>"); | |
| return; | |
| } | |
| // 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> |