mirror of
https://github.com/retspen/webvirtcloud
synced 2024-12-24 23:25:24 +00:00
Added ChartJS
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Retspen
parent
02ae7336ea
commit
02570cd826
5 changed files with 187 additions and 4 deletions
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@ -1,4 +1,6 @@
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from django.http import HttpResponseRedirect
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import time
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import json
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from django.http import HttpResponse, HttpResponseRedirect
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from django.core.urlresolvers import reverse
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from django.shortcuts import render
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from computes.models import Compute
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@ -127,6 +129,7 @@ def computes(request):
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error_messages.append(msg_err.as_text())
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return render(request, 'computes.html', locals())
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def overview(request, compute_id):
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"""
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:param request:
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@ -154,4 +157,69 @@ def overview(request, compute_id):
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except libvirtError as lib_err:
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error_messages.append(lib_err)
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return render(request, 'overview.html', locals())
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return render(request, 'overview.html', locals())
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def compute_graph(request, compute_id):
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"""
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:param request:
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:return:
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"""
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if not request.user.is_authenticated():
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return HttpResponseRedirect(reverse('login'))
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points = 5
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datasets = {}
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cookies = {}
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compute = Compute.objects.get(id=compute_id)
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curent_time = time.strftime("%H:%M:%S")
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try:
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conn = wvmHostDetails(compute.hostname,
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compute.login,
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compute.password,
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compute.type)
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cpu_usage = conn.get_cpu_usage()
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mem_usage = conn.get_memory_usage()
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conn.close()
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except libvirtError:
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cpu_usage = 0
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mem_usage = 0
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try:
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cookies['cpu'] = request.COOKIES['cpu']
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cookies['mem'] = request.COOKIES['mem']
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cookies['timer'] = request.COOKIES['timer']
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except KeyError:
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cookies['cpu'] = None
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cookies['mem'] = None
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if not cookies['cpu'] and not cookies['mem']:
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datasets['cpu'] = [0]
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datasets['mem'] = [0]
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datasets['timer'] = [curent_time]
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else:
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datasets['cpu'] = eval(cookies['cpu'])
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datasets['mem'] = eval(cookies['mem'])
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datasets['timer'] = eval(cookies['timer'])
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datasets['timer'].append(curent_time)
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datasets['cpu'].append(int(cpu_usage['usage']))
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datasets['mem'].append(int(mem_usage['usage']) / 1048576)
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if len(datasets['timer']) > points:
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datasets['timer'].pop(0)
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if len(datasets['cpu']) > points:
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datasets['cpu'].pop(0)
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if len(datasets['mem']) > points:
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datasets['mem'].pop(0)
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data = json.dumps({'cpudata': datasets['cpu'], 'memdata': datasets['mem'], 'timeline': datasets['timer']})
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response = HttpResponse()
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response['Content-Type'] = "text/javascript"
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response.cookies['cpu'] = datasets['cpu']
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response.cookies['timer'] = datasets['timer']
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response.cookies['mem'] = datasets['mem']
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response.write(data)
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return response
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@ -141,4 +141,8 @@ p {
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#undefine {
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margin-top: 20px;
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}
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.flot-chart {
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max-height: 250px;
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}
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11
static/js/Chart.min.js
vendored
Normal file
11
static/js/Chart.min.js
vendored
Normal file
File diff suppressed because one or more lines are too long
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@ -29,7 +29,8 @@
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{% include 'errors_block.html' %}
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<div class="row">
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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 "Hypervisor" %}</p>
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@ -49,4 +50,103 @@
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<p>{{ uri_conn }}</p>
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</div>
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</div>
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<div class="row" id="max-width-page">
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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 usage" %}</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="250"></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 usage" %}</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="250"></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_URL }}/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: 10,
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scaleStepWidth: 10,
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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 = $("#memChart").get(0).getContext("2d");
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var memChart = new Chart(mem_ctx).Line(memLineData, {
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animation: false,
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pointDotRadius: 2,
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scaleLabel: "<%=value%> Mb",
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responsive: true
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});
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function hostusage() {
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$.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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}
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$(function () {
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window.setInterval('hostusage()', 4000);
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});
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</script>
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{% endblock %}
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@ -26,7 +26,7 @@ urlpatterns = patterns('',
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url(r'^compute/secret/(\d+)/$', 'secrets.views.secrets', name='secrets'),
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url(r'^compute/statistics/(\d+)/$', 'computes.views.compute_graph', name='compute_graph'),
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url(r'^console/$', 'console.views.console', name='console'),
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url(r'^create/(\d+)/$', 'create.views.create_instance', name='create_instance'),
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