<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> |