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Update chartjs for node statistics

This commit is contained in:
catborise 2019-05-21 09:10:32 +03:00
parent 455f239093
commit 9ab198bd8c
2 changed files with 120 additions and 91 deletions

View file

@ -80,7 +80,7 @@
<h3 class="page-header">{% trans "Performance" %}</h3> <h3 class="page-header">{% trans "Performance" %}</h3>
<div class="panel panel-success"> <div class="panel panel-success">
<div class="panel-heading"> <div class="panel-heading">
<h3 class="panel-title"><i class="fa fa-long-arrow-right"></i> {% trans "CPU utilization" %}</h3> <h3 class="panel-title"><i class="fa fa-long-arrow-right"></i> {% trans "CPU Utilization" %}</h3>
</div> </div>
<div class="panel-body"> <div class="panel-body">
<div class="flot-chart"> <div class="flot-chart">
@ -92,7 +92,7 @@
</div> </div>
<div class="panel panel-info"> <div class="panel panel-info">
<div class="panel-heading"> <div class="panel-heading">
<h3 class="panel-title"><i class="fa fa-long-arrow-right"></i> {% trans "RAM utilization" %}</h3> <h3 class="panel-title"><i class="fa fa-long-arrow-right"></i> {% trans "RAM Utilization" %}</h3>
</div> </div>
<div class="panel-body"> <div class="panel-body">
<div class="flot-chart"> <div class="flot-chart">
@ -106,66 +106,128 @@
</div> </div>
{% endblock %} {% endblock %}
{% block script %} {% block script %}
<script src="{% static "js/Chart.min.js" %}"></script> <script src="{% static "js/Chart.bundle.min.js" %}"></script>
<script> <script>
var cpuLineData = {
labels : [0, 0, 0, 0, 0],
datasets : [
{
fillColor: "rgba(241,72,70,0.5)",
strokeColor: "rgba(241,72,70,1)",
pointColor : "rgba(241,72,70,1)",
pointStrokeColor : "#fff",
pointHighlightFill : "#fff",
pointHighlightStroke : "rgba(220,220,220,1)",
data : [0, 0, 0, 0, 0]
}
]
}
var cpu_ctx = document.getElementById("cpuChart").getContext("2d"); var cpu_ctx = document.getElementById("cpuChart").getContext("2d");
var cpuChart = new Chart(cpu_ctx).Line(cpuLineData, { var cpuChart = new Chart(cpu_ctx, {
animation: false, type: 'line',
pointDotRadius: 2, data: {
scaleLabel: "<%=value%> %", datasets : [{
scaleOverride: true, label: 'Usage',
scaleSteps: 5, backgroundColor: "rgba(241,72,70,0.5)",
scaleStepWidth: 20, pointRadius: 2,
scaleStartValue: 0, }]
responsive: true },
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: {
max: 100,
min: 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 memLineData = { var mem_ctx = document.getElementById("memChart").getContext("2d");
labels : [0, 0, 0, 0, 0], var memChart = new Chart(mem_ctx, {
datasets : [ type: 'line',
{ data: {
fillColor : "rgba(249,134,33,0.5)", datasets: [{
strokeColor : "rgba(249,134,33,1)", pointRadius: 2,
pointColor : "rgba(249,134,33,1)", }]
pointStrokeColor : "#fff", },
pointHighlightFill : "#fff", options: {
pointHighlightStroke : "rgba(151,187,205,1)", responsive: true,
data : [0, 0, 0, 0, 0] legend: {
display: false
},
scales: {
xAxes:[{
offset: false,
ticks: {
beginAtZero: false,
autoSkip: true,
maxTicksLimit: 10,
maxRotation: 0,
minRotation: 0
}
}],
yAxes: [{
ticks:{
suggestedMin: 0,
suggestedMax: 100,
callback: function(value, index, values) {
return value + ' MB';
}
},
}],
},
tooltips: {
callbacks: {
label: function (tooltipItem, chart) {
var label = chart.datasets[tooltipItem.datasetIndex].label || '';
if (label) {
label += ': ';
}
return label += tooltipItem.yLabel + ' MB';
}
}
} }
] }
}
var mem_ctx = $("#memChart").get(0).getContext("2d");
var memChart = new Chart(mem_ctx).Line(memLineData, {
animation: false,
pointDotRadius: 2,
scaleLabel: "<%=value%> Mb",
responsive: true
}); });
window.setInterval(function graph_usage() { window.setInterval(function graph_usage() {
$.getJSON('{% url 'compute_graph' compute_id %}', function (data) { $.getJSON('{% url 'compute_graph' compute_id %}', function (data) {
cpuChart.scale.xLabels = data.timeline; cpuChart.data.labels.push(data.timeline);
memChart.scale.xLabels = data.timeline; memChart.data.labels.push(data.timeline);
for (var i = 0; i < 5; i++) {
cpuChart.datasets[0].points[i].value = data.cpudata[i]; cpuChart.data.datasets[0].data.push(data.cpudata);
memChart.datasets[0].points[i].value = data.memdata[i]; if (cpuChart.data.datasets[0].data.length > 10){
cpuChart.data.labels.shift();
cpuChart.data.datasets[0].data.shift();
} }
memChart.options.scales.yAxes[0].ticks.max = parseInt(data.memdata.total / 1048576);
memChart.options.scales.yAxes[0].ticks.stepSize = parseInt(data.memdata.total / (1048576 * 5));
memChart.data.datasets[0].data.push(parseInt(data.memdata.usage / 1048576));
if (memChart.data.datasets[0].data.length > 10){
memChart.data.labels.shift();
memChart.data.datasets[0].data.shift();
}
cpuChart.update(); cpuChart.update();
memChart.update(); memChart.update();
}); });

View file

@ -1,5 +1,6 @@
import time import time
import json import json
from django.utils import timezone
from django.http import HttpResponse, HttpResponseRedirect from django.http import HttpResponse, HttpResponseRedirect
from django.core.urlresolvers import reverse from django.core.urlresolvers import reverse
from django.shortcuts import render, get_object_or_404 from django.shortcuts import render, get_object_or_404
@ -172,59 +173,25 @@ def compute_graph(request, compute_id):
:param request: :param request:
:return: :return:
""" """
points = 5
datasets = {}
cookies = {}
compute = get_object_or_404(Compute, pk=compute_id) compute = get_object_or_404(Compute, pk=compute_id)
current_time = time.strftime("%H:%M:%S")
try: try:
conn = wvmHostDetails(compute.hostname, conn = wvmHostDetails(compute.hostname,
compute.login, compute.login,
compute.password, compute.password,
compute.type) compute.type)
current_time = timezone.now().strftime("%H:%M:%S")
cpu_usage = conn.get_cpu_usage() cpu_usage = conn.get_cpu_usage()
mem_usage = conn.get_memory_usage() mem_usage = conn.get_memory_usage()
conn.close() conn.close()
except libvirtError: except libvirtError:
cpu_usage = 0 cpu_usage = {'usage': 0}
mem_usage = 0 mem_usage = {'usage': 0}
try: data = json.dumps({'cpudata': cpu_usage['usage'],
cookies['cpu'] = request.COOKIES['cpu'] 'memdata': mem_usage,
cookies['mem'] = request.COOKIES['mem'] 'timeline': current_time})
cookies['timer'] = request.COOKIES['timer']
except KeyError:
cookies['cpu'] = None
cookies['mem'] = None
if not cookies['cpu'] or not cookies['mem']:
datasets['cpu'] = [0] * points
datasets['mem'] = [0] * points
datasets['timer'] = [0] * points
else:
datasets['cpu'] = eval(cookies['cpu'])
datasets['mem'] = eval(cookies['mem'])
datasets['timer'] = eval(cookies['timer'])
datasets['timer'].append(current_time)
datasets['cpu'].append(int(cpu_usage['usage']))
datasets['mem'].append(int(mem_usage['usage']) / 1048576)
if len(datasets['timer']) > points:
datasets['timer'].pop(0)
if len(datasets['cpu']) > points:
datasets['cpu'].pop(0)
if len(datasets['mem']) > points:
datasets['mem'].pop(0)
data = json.dumps({'cpudata': datasets['cpu'], 'memdata': datasets['mem'], 'timeline': datasets['timer']})
response = HttpResponse() response = HttpResponse()
response['Content-Type'] = "text/javascript" response['Content-Type'] = "text/javascript"
response.cookies['cpu'] = datasets['cpu']
response.cookies['timer'] = datasets['timer']
response.cookies['mem'] = datasets['mem']
response.write(data) response.write(data)
return response return response