2
0
Fork 0
mirror of https://github.com/munin-monitoring/contrib.git synced 2018-11-08 00:59:34 +01:00
contrib-munin/plugins/nova/nova_instance_

124 lines
3.5 KiB
Text
Raw Normal View History

#!/usr/bin/env python
#
# Plugin to monitor status of Floating IPs in Nova
#
# To monitor instance states, link instance_states to this file.
# E.g.
# ln -s /usr/share/munin/plugins/nova_instance_states /etc/munin/plugins/
#
# Needs following minimal configuration in plugin-conf.d/nova:
# [nova_*]
# user nova
#
# Magic markers
2012-05-03 16:48:19 +02:00
#%# capabilities=autoconf suggest
#%# family=auto
import sys
2012-05-03 16:48:19 +02:00
try:
from nova import context
from nova import db
from nova import flags
from nova import utils
from nova.compute import power_state
except ImportError:
successful_import = False
2012-05-03 16:48:19 +02:00
else:
successful_import = True
2012-05-03 16:48:19 +02:00
class InstanceState(object):
instance_counts = None
states = None
@classmethod
def init(cls, metric):
if cls.states and cls.instance_counts:
return
ctxt = context.get_admin_context()
instances = db.instance_get_all(ctxt)
cls.instance_counts = {}
instance_types = {}
2012-05-03 16:48:19 +02:00
for it in db.instance_type_get_all(ctxt, True):
instance_types[it['id']] = it['name']
for instance in instances:
i = dict(instance)
i['instance_type'] = i['type'] = instance_types.get(
instance.instance_type_id,
'(unknown')
val = cls.instance_counts.get(i[metric], 0)
cls.instance_counts[i[metric]] = val + 1
cls.states = cls.instance_counts.keys()
@classmethod
def get_states(cls, metric):
InstanceState.init(metric)
return cls.states
@classmethod
def get_instance_counts(cls, metric):
InstanceState.init(metric)
return cls.instance_counts
2012-05-03 16:48:19 +02:00
def get_name(metric, code):
if metric == "power_state":
return power_state.name(code)
elif metric in ["root_gb", "ephemeral_gb"]:
2012-05-03 21:27:26 +02:00
return "%d gb" % code
2012-05-03 16:48:19 +02:00
else:
return code
def print_config(metric):
states = InstanceState.get_states(metric)
2012-05-03 16:48:19 +02:00
print 'graph_title Nova Instance %s' % metric
print 'graph_vlabel instances'
print 'graph_args --base 1000 --lower-limit 0'
print 'graph_category nova'
print 'graph_scale no'
2012-05-03 16:48:19 +02:00
print 'graph_info This graph shows the number of instances by %s' % metric
for state in states:
2012-05-03 21:27:26 +02:00
print '%s.label %s' % (state, get_name(metric, state))
print '%s.draw LINE2' % state
print '%s.info %s IPs' % (state, state)
def print_values(metric):
status = InstanceState.get_instance_counts(metric)
for (state, value) in status.iteritems():
print '%s.value %s' % (state, value)
2012-05-03 16:48:19 +02:00
def print_suggest():
suggest = [ "vm_state",
"vcpus",
"task_state",
"root_gb",
"ephemeral_gb",
"power_state",
"memory_mb",
"instance_type_id",
]
print "\n".join(suggest)
if __name__ == '__main__':
argv = sys.argv[:]
utils.default_flagfile()
flags.FLAGS(sys.argv)
2012-05-03 16:48:19 +02:00
metric = argv[0].split('nova_instance_').pop() or 'vm_state'
if len(argv) > 1:
if argv[1] == 'config':
print_config(metric)
2012-05-03 16:48:19 +02:00
elif argv[1] == 'suggest':
print_suggest()
elif argv[1] == 'autoconf':
if not successful_import:
2012-05-03 16:48:19 +02:00
print 'no (failed import nova module)'
sys.exit(0)
else:
print 'yes'
elif successful_import:
print_values(metric)