
    <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/?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>