mirror of
https://github.com/retspen/webvirtcloud
synced 2024-12-25 15:45:23 +00:00
254 lines
9.9 KiB
HTML
254 lines
9.9 KiB
HTML
{% extends "base.html" %}
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{% load i18n %}
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{% load staticfiles %}
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{% block title %}{% trans "Overview" %} - {{ compute.name }}{% endblock %}
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{% block content %}
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<!-- Page Heading -->
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<div class="row">
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<div class="col-lg-12">
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<h1 class="page-header">{{ compute.name }}</h1>
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<ol class="breadcrumb">
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<li class="active">
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<i class="fa fa-dashboard"></i> {% trans "Overview" %}
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</li>
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<li>
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<i class="fa fa-server"></i> <a href="{% url 'instances' compute.id %}">{% trans "Instances" %}</a>
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</li>
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<li>
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<i class="fa fa-hdd-o"></i> <a href="{% url 'storages' compute.id %}">{% trans "Storages" %}</a>
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</li>
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<li>
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<i class="fa fa-sitemap"></i> <a href="{% url 'networks' compute.id %}">{% trans "Networks" %}</a>
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</li>
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<li>
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<i class="fa fa-wifi"></i> <a href="{% url 'interfaces' compute.id %}">{% trans "Interfaces" %}</a>
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</li>
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<li>
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<i class="fa fa-filter"></i> <a href="{% url 'nwfilters' compute.id %}">{% trans "NWFilters" %}</a>
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</li>
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<li>
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<i class="fa fa-key"></i> <a href="{% url 'secrets' compute.id %}">{% trans "Secrets" %}</a>
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</li>
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</ol>
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</div>
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</div>
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<!-- /.row -->
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{% include 'errors_block.html' %}
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<div class="row" id="max-width-page">
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<h3 class="page-header">{% trans "Basic details" %}</h3>
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<div class="col-xs-4 col-sm-3">
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<p>{% trans "Hostname" %}</p>
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<p>{% trans "Hypervisors" %}</p>
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<p>{% trans "Emulator" %}</p>
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<p>{% trans "Version" %}</p>
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<p>{% trans "Memory" %}</p>
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<p>{% trans "Architecture" %}</p>
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<p>{% trans "Logical CPUs" %}</p>
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<p>{% trans "Processor" %}</p>
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<p>{% trans "Connection" %}</p>
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<p>{% trans "Details" %}</p>
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</div>
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<div class="col-xs-8 col-sm-9">
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<p>{{ hostname }}</p>
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<p><div class="btn-group" style="margin-left: 8px">
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{% for arch, hpv in hypervisor.items|slice:":4" %}
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<div class="btn-group" >
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<button class="btn btn-xs btn-default dropdown-toggle" type="button" id="dropdownMenuButton{{ forloop.counter0 }}" data-toggle="dropdown">
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{{ arch }}
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<span class="caret"></span>
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</button>
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<ul class="dropdown-menu" aria-labelledby="dropdownMenuButton{{ forloop.counter0 }}" role="menu">
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{% for h in hpv %}
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<li><a href="#">{{ h }}</a></li>
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{% endfor %}
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</ul>
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</div>
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{% endfor %}
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{% if hypervisor.items|length > 4 %}
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<button class="btn btn-xs btn-default dropdown-toggle" type="button" id="dropdownMenuButton{{ forloop.counter0 }}" data-toggle="dropdown">
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{{ hypervisor.items|slice:"4:"|length }} {% trans 'more' %}...
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<span class="caret"></span>
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</button>
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<ul class="dropdown-menu" aria-labelledby="dropdownMenuButton{{ forloop.counter0 }}" role="menu">
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{% for arc in hypervisor.keys|slice:"4:" %}
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<li><a tabindex="-1" href="#">{{ arc }}</a></li>
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{% endfor %}
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</ul>
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{% endif %}
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</div></p>
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<p>{{ emulator }}</p>
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<p>
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<span class="label label-default">Qemu</span>
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<span class="label label-primary">{{ version }}</span>
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<span class="label label-default">Libvirt</span>
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<span class="label label-primary">{{ lib_version }}</span>
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</p>
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<p>{{ host_memory|filesizeformat }}</p>
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<p>{{ host_arch }}</p>
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<p>{{ logical_cpu }}</p>
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<p>{{ model_cpu }}</p>
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<p>{{ uri_conn }}</p>
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<p>{{ compute.details }}</p>
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</div>
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</div>
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<div class="row">
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<div class="col-lg-12">
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<h3 class="page-header">{% trans "Performance" %}</h3>
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<div class="panel panel-success">
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<div class="panel-heading">
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<h3 class="panel-title"><i class="fa fa-long-arrow-right"></i> {% trans "CPU Utilization" %}</h3>
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</div>
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<div class="panel-body">
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<div class="flot-chart">
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<div class="flot-chart-content" id="flot-moving-line-chart" style="padding: 0px; position: relative;">
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<canvas id="cpuChart" width="735" height="160"></canvas>
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</div>
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</div>
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</div>
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</div>
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<div class="panel panel-info">
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<div class="panel-heading">
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<h3 class="panel-title"><i class="fa fa-long-arrow-right"></i> {% trans "RAM Utilization" %}</h3>
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</div>
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<div class="panel-body">
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<div class="flot-chart">
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<div class="flot-chart-content" id="flot-moving-line-chart" style="padding: 0px; position: relative;">
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<canvas id="memChart" width="735" height="160"></canvas>
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</div>
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</div>
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</div>
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</div>
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</div>
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</div>
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{% endblock %}
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{% block script %}
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<script src="{% static "js/Chart.bundle.min.js" %}"></script>
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<script>
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var cpu_ctx = document.getElementById("cpuChart").getContext("2d");
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var cpuChart = new Chart(cpu_ctx, {
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type: 'line',
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data: {
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datasets : [{
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label: 'Usage',
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backgroundColor: "rgba(241,72,70,0.5)",
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pointRadius: 2,
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}]
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},
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options: {
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responsive: true,
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legend: {
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display: false
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},
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scales: {
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xAxes:[{
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offset: false,
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ticks: {
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beginAtZero: false,
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autoSkip: true,
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maxTicksLimit: 10,
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maxRotation: 0,
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minRotation: 0,
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stepSize: 10,
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},
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}],
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yAxes: [{
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ticks: {
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max: 100,
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min: 0,
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stepSize: 20,
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callback: function(value, index, values) {
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return value + ' %';
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}
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},
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}],
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},
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tooltips: {
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callbacks: {
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label: function (tooltipItem, chart) {
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var label = chart.datasets[tooltipItem.datasetIndex].label || '';
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if (label) {
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label += ': ';
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}
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return label += tooltipItem.yLabel + ' %';
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}
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}
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}
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}
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});
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var mem_ctx = document.getElementById("memChart").getContext("2d");
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var memChart = new Chart(mem_ctx, {
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type: 'line',
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data: {
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datasets: [{
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pointRadius: 2,
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}]
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},
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options: {
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responsive: true,
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legend: {
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display: false
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},
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scales: {
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xAxes:[{
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offset: false,
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ticks: {
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beginAtZero: false,
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autoSkip: true,
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maxTicksLimit: 10,
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maxRotation: 0,
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minRotation: 0
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}
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}],
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yAxes: [{
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ticks:{
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suggestedMin: 0,
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suggestedMax: 100,
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callback: function(value, index, values) {
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return value + ' MB';
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}
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},
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}],
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},
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tooltips: {
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callbacks: {
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label: function (tooltipItem, chart) {
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var label = chart.datasets[tooltipItem.datasetIndex].label || '';
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if (label) {
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label += ': ';
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}
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return label += tooltipItem.yLabel + ' MB';
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}
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}
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}
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}
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});
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window.setInterval(function graph_usage() {
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$.getJSON('{% url 'compute_graph' compute_id %}', function (data) {
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cpuChart.data.labels.push(data.timeline);
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memChart.data.labels.push(data.timeline);
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cpuChart.data.datasets[0].data.push(data.cpudata);
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if (cpuChart.data.datasets[0].data.length > 10){
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cpuChart.data.labels.shift();
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cpuChart.data.datasets[0].data.shift();
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}
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memChart.options.scales.yAxes[0].ticks.max = parseInt(data.memdata.total / 1048576);
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memChart.options.scales.yAxes[0].ticks.stepSize = parseInt(data.memdata.total / (1048576 * 5));
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memChart.data.datasets[0].data.push(parseInt(data.memdata.usage / 1048576));
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if (memChart.data.datasets[0].data.length > 10){
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memChart.data.labels.shift();
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memChart.data.datasets[0].data.shift();
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}
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cpuChart.update();
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memChart.update();
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});
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}, 5000);
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</script>
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{% endblock %}
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