mirror of
https://github.com/retspen/webvirtcloud
synced 2024-12-27 00:25:22 +00:00
166 lines
6.9 KiB
HTML
166 lines
6.9 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 "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>{% for arch, hpv in hypervisor.items %}
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<span class="glyphicon glyphicon-chevron-right"></span>
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<span class="label label-default">{{ arch }}</span>
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{% for h in hpv %}
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<span class="label label-primary">{{ h }}</span>{% endfor %}
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{% endfor %}
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</p>
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<p>{{ emulator }}</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.min.js" %}"></script>
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<script>
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var cpuLineData = {
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labels : [0, 0, 0, 0, 0],
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datasets : [
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{
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fillColor: "rgba(241,72,70,0.5)",
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strokeColor: "rgba(241,72,70,1)",
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pointColor : "rgba(241,72,70,1)",
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pointStrokeColor : "#fff",
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pointHighlightFill : "#fff",
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pointHighlightStroke : "rgba(220,220,220,1)",
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data : [0, 0, 0, 0, 0]
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}
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]
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}
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var cpu_ctx = document.getElementById("cpuChart").getContext("2d");
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var cpuChart = new Chart(cpu_ctx).Line(cpuLineData, {
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animation: false,
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pointDotRadius: 2,
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scaleLabel: "<%=value%> %",
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scaleOverride: true,
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scaleSteps: 5,
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scaleStepWidth: 20,
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scaleStartValue: 0,
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responsive: true
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});
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var memLineData = {
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labels : [0, 0, 0, 0, 0],
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datasets : [
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{
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fillColor : "rgba(249,134,33,0.5)",
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strokeColor : "rgba(249,134,33,1)",
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pointColor : "rgba(249,134,33,1)",
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pointStrokeColor : "#fff",
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pointHighlightFill : "#fff",
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pointHighlightStroke : "rgba(151,187,205,1)",
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data : [0, 0, 0, 0, 0]
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}
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]
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}
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var mem_ctx = $("#memChart").get(0).getContext("2d");
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var memChart = new Chart(mem_ctx).Line(memLineData, {
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animation: false,
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pointDotRadius: 2,
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scaleLabel: "<%=value%> Mb",
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responsive: true
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});
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window.setInterval(function graph_usage() {
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$.getJSON('{% url 'compute_graph' compute_id %}', function (data) {
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cpuChart.scale.xLabels = data.timeline;
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memChart.scale.xLabels = data.timeline;
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for (var i = 0; i < 5; i++) {
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cpuChart.datasets[0].points[i].value = data.cpudata[i];
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memChart.datasets[0].points[i].value = data.memdata[i];
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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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