webui: Added base statistics

cloud/urls.py

@@ -84,4 +84,5 @@ urlpatterns = patterns('',
             'school.views.group_ajax_remove_member', ),
             'school.views.group_ajax_remove_member', ),
     url(r'^ajax/group/delete/$', 'school.views.group_ajax_delete', ),
     url(r'^ajax/group/delete/$', 'school.views.group_ajax_delete', ),
     url(r'^ajax/group/autocomplete/$', 'school.views.group_ajax_owner_autocomplete', ),
     url(r'^ajax/group/autocomplete/$', 'school.views.group_ajax_owner_autocomplete', ),
+    url(r'stat', 'one.views.stat'),
 )
 )

miscellaneous/stat/stat.py

-#!/usr/bin/python
-
-import xmltodict
-import sys
-import json
-
-
-xml = sys.stdin.read()
-data = xmltodict.parse(xml)
-
-
-#CPU stat
-cpu_usage = 0
-used_cpu = 0
-cpu_max = 0
-#Memory stat
-mem_usage = 0
-used_mem = 0
-mem_max = 0
-#Running VMs
-running_vms = 0
-print "\n" .join(data["HOST_POOL"]["HOST"])
-for host in data["HOST_POOL"]:
-    cpu_max += int(host["HOST_SHARE"]["MAX_CPU"])
-    used_cpu += int(host["HOST_SHARE"]["USED_CPU"])
-    cpu_usage += int(host["HOST_SHARE"]["CPU_USAGE"])
-    mem_usage += int(host["HOST_SHARE"]["MEM_USAGE"])
-    used_mem += int(host["HOST_SHARE"]["USED_MEM"])
-    mem_max += int(host["HOST_SHARE"]["MAX_MEM"])
-    running_vms += int(host["HOST_SHARE"]["RUNNING_VMS"])
-
-free_cpu = cpu_max - cpu_usage - used_cpu
-alloc_cpu = cpu_usage - used_cpu
-free_mem = mem_max - mem_usage - used_mem
-alloc_mem = mem_usage - used_mem
-cpu_dict = {'FREE_CPU' : free_cpu, 'ALLOC_CPU' : alloc_cpu , 'USED_CPU'  : 
-        used_cpu}
-mem_dict = {'FREE_MEM' : free_mem, 'ALLOC_MEM' : alloc_mem , 'USED_MEM' :
-        used_mem}
-
-print json.dumps(cpu_dict)
-print json.dumps(mem_dict)
-print "Running VMs: " + str(running_vms)
-print "Global MAX CPU: " + str(cpu_max)
-print "Allocated CPU: " + str(cpu_usage)
-print "CPU under load: " + str(used_cpu)
-print "CPU diff alloc-load: " + str(cpu_usage-used_cpu)

miscellaneous/stat/stat_dom.py

+#!/usr/bin/python
+
+import xmltodict
+import xml.dom.minidom as minidom
+import sys
+import json
+import math
+
+xml = sys.stdin.read()
+data = minidom.parseString(xml)
+node = data.documentElement
+hosts = data.getElementsByTagName("HOST")
+
+#CPU stat
+cpu_usage = 0
+used_cpu = 0
+cpu_max = 0
+#Memory stat
+mem_usage = 0
+used_mem = 0
+mem_max = 0
+#Running VMs
+running_vms = 0
+
+for host in hosts:
+    share = host.getElementsByTagName("HOST_SHARE")[0]
+    cpu_max += int(share.getElementsByTagName("MAX_CPU")[0].childNodes[0].data)
+    used_cpu += int(share.getElementsByTagName("USED_CPU")[0].childNodes[0].data)
+    cpu_usage += int(share.getElementsByTagName("CPU_USAGE")[0].childNodes[0].data)
+    mem_usage += int(share.getElementsByTagName("MEM_USAGE")[0].childNodes[0].data)
+    used_mem += int(share.getElementsByTagName("USED_MEM")[0].childNodes[0].data)
+    mem_max += int(share.getElementsByTagName("MAX_MEM")[0].childNodes[0].data)
+    running_vms += int(share.getElementsByTagName("RUNNING_VMS")[0].childNodes[0].data)
+
+if cpu_usage < used_cpu:
+    alloc_cpu = 0
+    free_cpu = (cpu_max - used_cpu)
+else:
+    alloc_cpu = (cpu_usage - used_cpu)
+    free_cpu = (cpu_max - alloc_cpu - used_cpu)
+#Round memory values
+mem_usage = mem_usage / 1024
+used_mem = used_mem / 1024
+mem_max = mem_max / 1024
+if mem_max < (1024*5):
+    dimension = "MB"
+else:
+    mem_usage = mem_usage / 1024
+    used_mem = used_mem / 1024
+    mem_max = mem_max / 1024
+    dimension = "GB"
+mem_usage = round(mem_usage, 2)
+used_mem = round(used_mem, 2)
+mem_max = round(mem_max, 2)
+
+if mem_usage < used_mem:
+    alloc_mem = 0
+    free_mem = (mem_max - used_mem)
+else:
+    alloc_mem = (mem_usage - used_mem)
+    free_mem = (mem_max - alloc_mem - used_mem)
+used_mem = used_mem
+
+cpu_dict = {'FREE_CPU' : free_cpu, 'ALLOC_CPU' : alloc_cpu , 'USED_CPU'  : 
+        used_cpu}
+mem_dict = {'FREE_MEM' : free_mem, 'ALLOC_MEM' : alloc_mem , 'USED_MEM' :
+        used_mem}
+
+print json.dumps({ 'CPU' : cpu_dict, 'MEM' : mem_dict, 'VMS' : running_vms,
+    'DIMENSION' : dimension})

miscellaneous/stat/stat_wrap.sh

@@ -14,4 +14,4 @@ export USER='www-data'
 #export ONE_LOCATION='/var/lib/opennebula'
 #export ONE_LOCATION='/var/lib/opennebula'
 export PATH="$PATH:$ONE_LOCATION/bin"
 export PATH="$PATH:$ONE_LOCATION/bin"
 
 
-sudo -u oneadmin -i onehost list -x 
+sudo -u oneadmin -i onehost list -x | /opt/webadmin/cloud/miscellaneous/stat/stat_dom.py

one/templates/stat.html

+{% load l10n %}
+<html>
+  <head>
+    <!--Load the AJAX API-->
+    <script type="text/javascript" src="https://www.google.com/jsapi"></script>
+    <script type="text/javascript">
+
+      // Load the Visualization API and the piechart package.
+      google.load('visualization', '1.0', {'packages':['corechart']});
+
+      // Set a callback to run when the Google Visualization API is loaded.
+      google.setOnLoadCallback(drawChart);
+
+      // Callback that creates and populates a data table,
+      // instantiates the pie chart, passes in the data and
+      // draws it.
+      function drawChart() {
+
+        // Create the data table.
+        var data_cpu = new google.visualization.DataTable();
+        data_cpu.addColumn('string', 'Topping');
+        data_cpu.addColumn('number', 'Slices');
+        data_cpu.addRows([
+          ['Free CPU', {{STAT.CPU.FREE_CPU}}],
+          ['Allocated CPU', {{STAT.CPU.ALLOC_CPU}}],
+          ['Used CPU', {{STAT.CPU.USED_CPU}}],
+        ]);
+
+        // Set chart options
+        var cpu_options = {'title':'Cloud CPU usage percent (100/CPU)',
+                       'width':400,
+                       'height':300,
+                       slices: {0: {color: 'blue'}, 1:{color: 'orange'},
+                           2:{color: 'red'}}
+                        };
+
+        var data_mem = new google.visualization.DataTable();
+        data_mem.addColumn('string', 'Topping');
+        data_mem.addColumn('number', 'Slices');
+        data_mem.addRows([
+          ['Free Memory', {{STAT.MEM.FREE_MEM|unlocalize}}],
+          ['Allocated Memory', {{STAT.MEM.ALLOC_MEM|unlocalize}}],
+          ['Used Memory', {{STAT.MEM.USED_MEM|unlocalize}}],
+        ]);
+
+        // Set chart options
+        var mem_options = {'title':'Cloud Memory usage in {{STAT.DIMENSION}}',
+                       'width':400,
+                       'height':300,
+                       slices: {0: {color: 'blue'}, 1:{color: 'orange'},
+                           2:{color: 'red'}}
+        };
+        // Instantiate and draw our chart, passing in some options.
+        var chart = new
+            google.visualization.PieChart(document.getElementById('chart_cpu_div'));
+        chart.draw(data_cpu, cpu_options);
+        var chart = new
+            google.visualization.PieChart(document.getElementById('chart_mem_div'));
+        chart.draw(data_mem, mem_options);
+      }
+    </script>
+  </head>
+
+  <body>
+      <!--Div that will hold the pie chart-->
+    <div>Running VMs: {{STAT.VMS}}</div>
+    <div id="chart_cpu_div"></div>
+    <div id="chart_mem_div"></div>
+  </body>
+</html>

one/views.py

@@ -26,6 +26,7 @@ from school.models import *
 import django.contrib.auth as auth
 import django.contrib.auth as auth
 import json
 import json
 import logging
 import logging
+import subprocess
 
 
 logger = logging.getLogger(__name__)
 logger = logging.getLogger(__name__)
 
 
@@ -566,5 +567,17 @@ def _update_keys(user):
     user = user.username
     user = user.username
     StoreApi.updateauthorizationinfo(user, password, key_list)
     StoreApi.updateauthorizationinfo(user, password, key_list)
 
 
+def stat(request):
+    values = subprocess.check_output(['/opt/webadmin/cloud/miscellaneous/stat/stat_wrap.sh'])
+  #  values = '''
+  #  {"CPU": {"USED_CPU": 2, "ALLOC_CPU": 0,
+  #  "FREE_CPU": 98}, "MEM": {"FREE_MEM": 1685432, "ALLOC_MEM":0,
+  #  "USED_MEM": 366284}}'''
+    stat_dict = json.loads(values)
+    return  HttpResponse(render_to_response("stat.html", RequestContext(
+                request, {
+                    'STAT' : stat_dict,
+                }
+            )))
 
 
 # vim: et sw=4 ai fenc=utf8 smarttab :
 # vim: et sw=4 ai fenc=utf8 smarttab :