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Update chartjs for instance statistics and add memory usage info for instances

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This commit is contained in:
catborise 2019-05-21 09:12:28 +03:00
parent 9ab198bd8c
commit 181bd9d392
2 changed files with 263 additions and 172 deletions
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355
instances/templates/instance.html
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@ -1230,6 +1230,18 @@
</div>
</div>
</div>
<div class="panel panel-default">
<div class="panel-heading">
<h3 class="panel-title"><i class="fa fa-long-arrow-right"></i> {% trans "Memory Usage" %}</h3>
</div>
<div class="panel-body">
<div class="flot-chart">
<div class="flot-chart-content" id="flot-moving-line-chart" style="padding: 0px; position: relative;">
<canvas id="memChart" width="735" height="160"></canvas>
</div>
</div>
</div>
</div>
{% for net in networks %}
<div class="panel panel-info">
<div class="panel-heading">
@ -1332,7 +1344,6 @@
$.each(data['vols'], function(i, item) {
$("#vols").append('<option value=' + item +'>' + item + '</option>');
})
});
@ -1568,136 +1579,274 @@ $(document).ready(function () {
});
});
</script>
<script src="{% static "js/Chart.min.js" %}"></script>
<script src="{% static "js/Chart.bundle.min.js" %}"></script>
<script>
$('#chartgraphs').on('shown.bs.tab', function (event) {
var cpuLineData = {
labels : [0, 0, 0, 0, 0],
datasets : [
{
fillColor: "rgba(44,127,184,0.5)",
strokeColor: "rgba(44,127,184,1)",
pointColor: "rgba(44,127,184,1)",
pointStrokeColor: "#fff",
data: [0, 0, 0, 0, 0]
}
]
};
var diskLineData = {
labels : [0, 0, 0, 0, 0],
datasets : [
{
fillColor: "rgba(127,205,187,0.5)",
strokeColor: "rgba(127,205,187,1)",
pointColor: "rgba(127,205,187,1)",
pointStrokeColor: "#fff",
data: [0, 0, 0, 0, 0],
label: "Read"
},
{
fillColor: "rgba(44,127,184,0.5)",
strokeColor: "rgba(44,127,184,1)",
pointColor: "rgba(44,127,184,1)",
pointStrokeColor: "#fff",
data: [0, 0, 0, 0, 0],
label: "Write"
},
]
};
var netLineData = {
labels : [0, 0, 0, 0, 0],
datasets : [
{
fillColor: "rgba(127,205,187,0.5)",
strokeColor: "rgba(127,205,187,1)",
pointColor: "rgba(127,205,187,1)",
pointStrokeColor: "#fff",
data: [0, 0, 0, 0, 0],
label: "Inbound"
},
{
fillColor: "rgba(44,127,184,0.5)",
strokeColor: "rgba(44,127,184,1)",
pointColor: "rgba(44,127,184,1)",
pointStrokeColor: "#fff",
data: [0, 0, 0, 0, 0],
label: "Outbound"
},
]
};
var cpuOpt = {
animation: false,
pointDotRadius: 2,
scaleLabel: "<%=value%> %",
tooltipTemplate: "<%=value%> %",
scaleShowGridLines : false,
scaleOverride: true,
scaleSteps: 5,
scaleStepWidth: 20,
scaleStartValue: 0,
responsive: true
};
var diskOpt = {
animation: false,
pointDotRadius: 2,
scaleLabel: "<%=value%> Mb/s",
multiTooltipTemplate: "<%=datasetLabel%> - <%=value%> Mb/s",
scaleShowGridLines : false,
responsive: true
};
var netOpt = {
animation: false,
pointDotRadius: 2,
scaleLabel: "<%=value%> Mbps",
multiTooltipTemplate: "<%=datasetLabel%> - <%=value%> Mbps",
scaleShowGridLines : false,
responsive: true,
};
var cpu_ctx = $("#cpuChart").get(0).getContext("2d");
var cpuChart = new Chart(cpu_ctx).Line(cpuLineData, cpuOpt);
var cpuChart = new Chart(cpu_ctx, {
type: 'line',
data: {
datasets : [{
backgroundColor: "rgba(44,127,184,0.5)",
label: "Usage"
}]
},
options: {
responsive: true,
legend: {
display: false
},
scales: {
xAxes:[{
offset: false,
ticks: {
beginAtZero: false,
autoSkip: true,
maxTicksLimit: 10,
maxRotation: 0,
minRotation: 0,
stepSize: 10,
},
}],
yAxes: [{
ticks: {
suggestedMax: 100,
suggestedMin: 0,
stepSize: 20,
callback: function(value, index, values) {
return value + ' %';
}
},
}],
},
tooltips: {
callbacks: {
label: function (tooltipItem, chart) {
var label = chart.datasets[tooltipItem.datasetIndex].label || '';
if (label) {
label += ': ';
}
return label += tooltipItem.yLabel + ' %';
}
}
}
}
});
var mem_ctx = $("#memChart").get(0).getContext("2d");
var memChart = new Chart(mem_ctx, {
type: 'line',
data: {
datasets : [{
label: "Usage"
}]
},
options: {
responsive: true,
legend: {
display: false
},
scales: {
xAxes:[{
offset: false,
ticks: {
beginAtZero: false,
autoSkip: true,
maxTicksLimit: 10,
maxRotation: 0,
minRotation: 0,
stepSize: 10,
},
}],
yAxes: [{
ticks: {
suggestedMax: 100,
suggestedMin: 0,
stepSize: 20,
callback: function(value, index, values) {
return value + ' MB';
}
},
}],
},
tooltips: {
callbacks: {
label: function (tooltipItem, chart) {
var label = chart.datasets[tooltipItem.datasetIndex].label || '';
if (label) {
label += '(RSS): ';
}
return label += tooltipItem.yLabel + ' MB';
}
}
}
}
});
var diskChart = {};
{% for disk in disks %}
var disk_ctx_{{ disk.dev }} = $("#blk{{ disk.dev }}Chart").get(0).getContext("2d");
diskChart['{{ disk.dev }}'] = new Chart(disk_ctx_{{ disk.dev }}).Line(diskLineData, diskOpt);
diskChart['{{ disk.dev }}'] = new Chart(disk_ctx_{{ disk.dev }}, {
type: 'line',
data: {
datasets : [{
backgroundColor: "rgba(127,205,187,0.5)",
label: "Read"
},
{
backgroundColor: "rgba(44,127,184,0.5)",
label: "Write"
}]
},
options: {
responsive: true,
legend: {
display: false
},
scales: {
xAxes:[{
offset: false,
ticks: {
beginAtZero: false,
autoSkip: true,
maxTicksLimit: 10,
maxRotation: 0,
minRotation: 0,
stepSize: 10,
},
}],
yAxes: [{
ticks: {
suggestedmax: 100,
suggestedMin: 0,
callback: function(value, index, values) {
return value + ' Mb/s';
}
},
}],
},
tooltips: {
callbacks: {
label: function (tooltipItem, chart) {
var label = chart.datasets[tooltipItem.datasetIndex].label || '';
if (label) {
label += ': ';
}
return label += tooltipItem.yLabel + ' Mb/s';
}
}
}
}
});
{% endfor %}
var netChart = {};
{% for net in networks %}
var net_ctx_{{ forloop.counter0 }} = $("#netEth{{ forloop.counter0 }}Chart").get(0).getContext("2d");
netChart['{{ forloop.counter0 }}'] = new Chart(net_ctx_{{ forloop.counter0 }}).Line(netLineData, netOpt);
netChart['{{ forloop.counter0 }}'] = new Chart(net_ctx_{{ forloop.counter0 }}, {
type: 'line',
data: {
datasets : [
{
backgroundColor: "rgba(127,205,187,0.5)",
label: "Inbound"
},
{
backgroundColor: "rgba(44,127,184,0.5)",
label: "Outbound"
}]
},
options: {
responsive: true,
legend: {
display: false
},
scales: {
xAxes:[{
offset: false,
ticks: {
beginAtZero: false,
autoSkip: true,
maxTicksLimit: 10,
maxRotation: 0,
minRotation: 0,
stepSize: 10,
},
}],
yAxes: [{
ticks: {
suggestedMax: 100,
suggestedMin: 0,
callback: function(value, index, values) {
return value + ' Mbps';
}
},
}],
},
tooltips: {
callbacks: {
label: function (tooltipItem, chart) {
var label = chart.datasets[tooltipItem.datasetIndex].label || '';
if (label) {
label += ': ';
}
return label += tooltipItem.yLabel + ' Mbps';
}
}
}
}
});
{% endfor %}
window.setInterval(function graph_usage() {
$.getJSON('{% url 'inst_graph' compute_id vname %}', function (data) {
cpuChart.scale.xLabels = data.timeline;
for (var i = 0; i < data.cpudata.length; i++) {
cpuChart.datasets[0].points[i].value = data.cpudata[i];
cpuChart.data.labels.push(data.timeline);
cpuChart.data.datasets[0].data.push(data.cpudata);
if (cpuChart.data.datasets[0].data.length > 10){
cpuChart.data.labels.shift();
cpuChart.data.datasets[0].data.shift();
}
cpuChart.update();
for (var j = 0; j < data.blkdata.length; j++) {
diskChart[data.blkdata[j].dev].scale.xLabels = data.timeline;
memChart.data.labels.push(data.timeline);
for (var i = 0; i < data.blkdata[j].data[0].length; i++) {
diskChart[data.blkdata[j].dev].datasets[0].points[i].label = 'Time: ' + data.timeline[i];
diskChart[data.blkdata[j].dev].datasets[0].points[i].value = data.blkdata[j].data[0][i];
diskChart[data.blkdata[j].dev].datasets[1].points[i].value = data.blkdata[j].data[1][i];
memChart.options.scales.yAxes[0].ticks.max = parseInt(data.memdata.total / 1024);
memChart.options.scales.yAxes[0].ticks.stepSize = parseInt(data.memdata.total / (1024 * 5));
memChart.data.datasets[0].data.push(data.memdata.used / 1024);
if (memChart.data.datasets[0].data.length > 10){
memChart.data.labels.shift();
memChart.data.datasets[0].data.shift();
}
memChart.update();
for (let j = 0; j < data.blkdata.length; j++) {
diskChart[data.blkdata[j].dev].data.labels.push(data.timeline);
diskChart[data.blkdata[j].dev].data.datasets[0].data.push(data.blkdata[0].data[0]);
diskChart[data.blkdata[j].dev].data.datasets[1].data.push(data.blkdata[0].data[1]);
if (diskChart[data.blkdata[j].dev].data.datasets[0].data.length > 10){
diskChart[data.blkdata[j].dev].data.labels.shift();
diskChart[data.blkdata[j].dev].data.datasets[0].data.shift();
diskChart[data.blkdata[j].dev].data.datasets[1].data.shift();
}
diskChart[data.blkdata[j].dev].update();
}
for (var j = 0; j < data.netdata.length; j++) {
netChart[data.netdata[j].dev].scale.xLabels = data.timeline;
for (let j = 0; j < data.netdata.length; j++) {
netChart[data.netdata[j].dev].data.labels.push(data.timeline);
for (var i = 0; i < data.netdata[j].data[0].length; i++) {
netChart[data.netdata[j].dev].datasets[0].points[i].label = 'Time: ' + data.timeline[i];
netChart[data.netdata[j].dev].datasets[0].points[i].value = data.netdata[j].data[0][i];
netChart[data.netdata[j].dev].datasets[1].points[i].value = data.netdata[j].data[1][i];
netChart[data.netdata[j].dev].data.datasets[0].data.push(data.netdata[0].data[0]);
netChart[data.netdata[j].dev].data.datasets[1].data.push(data.netdata[0].data[1]);
if (netChart[data.netdata[j].dev].data.datasets[0].data.length > 10){
netChart[data.netdata[j].dev].data.labels.shift();
netChart[data.netdata[j].dev].data.datasets[0].data.shift();
netChart[data.netdata[j].dev].data.datasets[1].data.shift();
}
netChart[data.netdata[j].dev].update();
}
});

78
instances/views.py
View file

@ -1040,24 +1040,13 @@ def inst_graph(request, compute_id, vname):
:param request:
:return:
"""
datasets = {}
json_blk = []
datasets_blk = {}
json_net = []
datasets_net = {}
cookies = {}
points = 5
current_time = time.strftime("%H:%M:%S")
compute = get_object_or_404(Compute, pk=compute_id)
response = HttpResponse()
response['Content-Type'] = "text/javascript"
def check_points(dataset):
if len(dataset) > points:
dataset.pop(0)
return dataset
try:
conn = wvmInstance(compute.hostname,
compute.login,
@ -1065,71 +1054,24 @@ def inst_graph(request, compute_id, vname):
compute.type,
vname)
cpu_usage = conn.cpu_usage()
mem_usage = conn.mem_usage()
blk_usage = conn.disk_usage()
net_usage = conn.net_usage()
conn.close()
try:
cookies['cpu'] = request.COOKIES['cpu']
cookies['blk'] = request.COOKIES['blk']
cookies['net'] = request.COOKIES['net']
cookies['timer'] = request.COOKIES['timer']
except KeyError:
cookies['cpu'] = cookies['blk'] = cookies['net'] = None
if not cookies['cpu']:
datasets['timer'] = datasets['cpu'] = [0] * points
else:
datasets['cpu'] = eval(cookies['cpu'])
datasets['timer'] = eval(cookies['timer'])
datasets['timer'].append(current_time)
datasets['cpu'].append(int(cpu_usage['cpu']))
datasets['timer'] = check_points(datasets['timer'])
datasets['cpu'] = check_points(datasets['cpu'])
current_time = time.strftime("%H:%M:%S")
for blk in blk_usage:
if not cookies['blk']:
datasets_rd = datasets_wr = [0] * points
else:
datasets['blk'] = eval(cookies['blk'])
datasets_rd = datasets['blk'][blk['dev']][0]
datasets_wr = datasets['blk'][blk['dev']][1]
datasets_rd.append(int(blk['rd']) / 1048576)
datasets_wr.append(int(blk['wr']) / 1048576)
datasets_rd = check_points(datasets_rd)
datasets_wr = check_points(datasets_wr)
json_blk.append({'dev': blk['dev'], 'data': [datasets_rd, datasets_wr]})
datasets_blk[blk['dev']] = [datasets_rd, datasets_wr]
json_blk.append({'dev': blk['dev'], 'data': [int(blk['rd']) / 1048576, int(blk['wr']) / 1048576]})
for net in net_usage:
if not cookies['net']:
datasets_tx = datasets_rx = [0] * points
else:
datasets['net'] = eval(cookies['net'])
datasets_rx = datasets['net'][net['dev']][0]
datasets_tx = datasets['net'][net['dev']][1]
json_net.append({'dev': net['dev'], 'data': [int(net['rx']) / 1048576, int(net['tx']) / 1048576]})
datasets_rx.append(int(net['rx']) / 1048576)
datasets_tx.append(int(net['tx']) / 1048576)
data = json.dumps({'cpudata': int(cpu_usage['cpu']),
'memdata': mem_usage,
'blkdata': json_blk,
'netdata': json_net,
'timeline': current_time})
datasets_rx = check_points(datasets_rx)
datasets_tx = check_points(datasets_tx)
json_net.append({'dev': net['dev'], 'data': [datasets_rx, datasets_tx]})
datasets_net[net['dev']] = [datasets_rx, datasets_tx]
data = json.dumps({'cpudata': datasets['cpu'], 'blkdata': json_blk,
'netdata': json_net, 'timeline': datasets['timer']})
response.cookies['cpu'] = datasets['cpu']
response.cookies['timer'] = datasets['timer']
response.cookies['blk'] = datasets_blk
response.cookies['net'] = datasets_net
except libvirtError:
data = json.dumps({'error': 'Error 500'})