mirror of
https://github.com/retspen/webvirtcloud
synced 2025-07-31 12:41:08 +00:00
247 lines
9.8 KiB
HTML
247 lines
9.8 KiB
HTML
{% extends "base.html" %}
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{% load i18n %}
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{% load static %}
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{% load icons %}
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{% block title %}{% trans "Overview" %} - {{ compute.name }}{% endblock %}
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{% block page_heading %}{{ compute.name }}{% endblock page_heading %}
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{% block content %}
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<div class="row">
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<nav aria-label="breadcrumb">
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<ol class="breadcrumb shadow-sm">
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<li class="breadcrumb-item" aria-current="page">
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<span class="fw-bold">{% icon 'dashboard' %} {% trans "Overview" %}</span>
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</li>
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<li class="breadcrumb-item">
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<a href="{% url 'instances' compute.id %}">{% icon 'server' %} {% trans "Instances" %}</a>
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</li>
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<li class="breadcrumb-item">
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<a href="{% url 'storages' compute.id %}">{% icon 'hdd-o' %} {% trans "Storages" %}</a>
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</li>
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<li class="breadcrumb-item">
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<a href="{% url 'networks' compute.id %}">{% icon 'sitemap' %} {% trans "Networks" %}</a>
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</li>
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<li class="breadcrumb-item">
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<a href="{% url 'interfaces' compute.id %}">{% icon 'wifi' %} {% trans "Interfaces" %}</a>
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</li>
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<li class="breadcrumb-item">
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<a href="{% url 'nwfilters' compute.id %}">{% icon 'filter' %} {% trans "NWFilters" %}</a>
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</li>
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<li class="breadcrumb-item">
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<a href="{% url 'virtsecrets' compute.id %}">{% icon 'key' %} {% trans "Secrets" %}</a>
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</li>
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</ol>
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</nav>
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</div>
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<div class="shadow-sm">
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<h3 class="page-header">{% trans "Basic details" %}</h3>
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<dl class="mx-3 row">
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<dt class="col-3">{% trans "Hostname" %}</dt>
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<dd class="col-9">{{ hostname }}</dd>
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<dt class="col-3">{% trans "Hypervisors" %}</dt>
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<dd class="col-9">
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<div class="dropdown">
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{% for arch, hpv in hypervisor.items|slice:":4" %}
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<button class="btn btn-sm btn-outline-primary dropdown-toggle" type="button" id="hpvArchDrop{{ forloop.counter0 }}" data-bs-toggle="dropdown" aria-haspopup="true" aria-expanded="false">
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{{ arch }}
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</button>
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<div class="dropdown-menu" aria-labelledby="hpvArchDrop{{ forloop.counter0 }}">
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{% for h in hpv %}
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<a class="dropdown-item" href="#">{{ h }}</a>
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{% endfor %}
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</div>
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{% endfor %}
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</div>
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<div class="dropdown">
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{% if hypervisor.items|length > 4 %}
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<button class="btn btn-sm btn-outline-primary dropdown-toggle" type="button" id="hpvDrop{{ forloop.counter0 }}" data-bs-toggle="dropdown">
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{{ hypervisor.items|slice:"4:"|length }} {% trans 'more' %}...
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</button>
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<div class="dropdown-menu" aria-labelledby="hpvDrop{{ forloop.counter0 }}" role="menu">
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{% for arc in hypervisor.keys|slice:"4:" %}
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<a class="dropdown-item" tabindex="-1" href="#">{{ arc }}</a>
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{% endfor %}
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</div>
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{% endif %}
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</div>
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</dd>
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<dt class="col-3">{% trans "Emulator" %}</dt>
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<dd class="col-9">{{ emulator }}</dd>
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<dt class="col-3">{% trans "Version" %}</dt>
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<dd class="col-9">
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<span class="badge bg-secondary">{% trans 'Qemu' %} </span>
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<span class="badge bg-primary">{{ version }}</span>
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<span class="badge bg-secondary">{% trans 'Libvirt' %} </span>
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<span class="badge bg-primary">{{ lib_version }}</span>
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</dd>
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<dt class="col-3">{% trans "Memory" %}</dt>
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<dd class="col-9">{{ host_memory|filesizeformat }}</dd>
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<dt class="col-3">{% trans "Architecture" %}</dt>
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<dd class="col-9">{{ host_arch }}</dd>
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<dt class="col-3">{% trans "Logical CPUs" %}</dt>
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<dd class="col-9">{{ logical_cpu }}</dd>
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<dt class="col-3">{% trans "Processor" %}</dt>
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<dd class="col-9">{{ model_cpu }}</dd>
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<dt class="col-3">{% trans "Connection" %}</dt>
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<dd class="col-9">{{ uri_conn }}</dd>
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<dt class="col-3">{% trans "Details" %}</dt>
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<dd class="col-9">{{ compute.details }}</dd>
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</dl>
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<h3 class="page-header">{% trans "Performance" %}</h3>
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<div class="mx-3 shadow-sm">
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<div class="my-3 card border-success">
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<div class="card-body">
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<h5 class="card-title">
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<i class="fa fa-long-arrow-right"></i>
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{% trans "CPU Utilization" %}
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</h5>
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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 class="my-3 card border-primary">
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<div class="card-body">
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<h5 class="card-title ">
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<i class="fa fa-long-arrow-right"></i> {% trans "RAM Utilization" %}
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</h5>
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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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{% 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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if (Boolean({{ status }}) === true) {
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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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}
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</script>
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{% endblock %}
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