/usr/lib/nagios/plugins/check_graphite is in nagios-plugins-contrib 21.20170222.
This file is owned by root:root, with mode 0o755.
The actual contents of the file can be viewed below.
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"""
check_graphite.py
~~~~~~~
:copyright: (c) 2012 DISQUS.
:license: Apache License 2.0, see LICENSE for more details.
"""
import json
import optparse
import urllib
import urllib2
import sys
from numbers import Real
NAGIOS_STATUSES = {
'OK': 0,
'WARNING': 1,
'CRITICAL': 2,
'UNKNOWN': 3
}
class Graphite(object):
def __init__(self, url, targets, _from, _until):
self.url = url.rstrip('/')
self.targets = targets
self._from = _from
self._until = _until
params = [('target', t) for t in self.targets] +\
[('from', self._from)] +\
[('until', self._until)] +\
[('format', 'json')]
self.full_url = self.url + '/render?' +\
urllib.urlencode(params)
def check_datapoints(self, datapoints, check_func, **kwargs):
"""Find alerting datapoints
Args:
datapoints (list): The list of datapoints to check
Kwargs:
check_func (function): The function to find out of bounds datapoints
bounds (list): Compare against `datapoints` to find out of bounds list
compare (list): Used for comparison if `datapoints` is out of bounds
threshold (float): `check_func` is called for each datapoint against `threshold`
beyond (float): Return datapoint if `beyond` value in bounds list (percentage).
Returns:
The list of out of bounds datapoints
"""
if 'threshold' in kwargs:
return [x for x in datapoints if isinstance(x, Real) and check_func(x, kwargs['threshold'])]
elif 'bounds' in kwargs:
if 'compare' in kwargs:
return [datapoints[x] for x in xrange(len(datapoints)) if all([datapoints[x], kwargs['bounds'][x], kwargs['compare'][x]]) and check_func(datapoints[x] / kwargs['bounds'][x], kwargs['beyond']) and check_func(datapoints[x], kwargs['compare'][x])]
else:
return [datapoints[x] for x in xrange(len(datapoints)) if all([datapoints[x], kwargs['bounds'][x]]) and check_func(datapoints[x], kwargs['bounds'][x])]
def fetch_metrics(self):
try:
response = urllib2.urlopen(self.full_url)
if response.code != 200:
return None
else:
return json.loads(response.read())
except urllib2.URLError, TypeError:
return None
def generate_output(self, datapoints, *args, **kwargs):
"""Generate check output
Args:
datapoints (list): The list of datapoints to check
warn_oob (list): Optional list of datapoints considered in warning state
crit_oob (list): Mandatory list of datapoints considered in warning state
Kwargs:
count (int): Number of metrics that would generate an alert
warning (float): The check's warning threshold
critical (float): The check's critical threshold
target (str): The target for `datapoints`
Returns:
A dictionary of datapoints grouped by their status ('CRITICAL', 'WARNING', 'OK')
"""
check_output = dict(OK=[], WARNING=[], CRITICAL=[])
count = kwargs['count']
warning = kwargs.get('warning', 0)
critical = kwargs.get('critical', 0)
target = kwargs.get('target', 'timeseries')
if len(args) > 1:
(warn_oob, crit_oob) = args
else:
crit_oob = [x for x in args[0] if isinstance(x, Real)]
warn_oob = []
if self.has_numbers(crit_oob) and len(crit_oob) >= count:
check_output['CRITICAL'].append('%s [crit=%f|datapoints=%s]' %\
(target, critical, ','.join(['%s' % str(x) for x in crit_oob])))
elif self.has_numbers(warn_oob) and len(warn_oob) >= count:
check_output['WARNING'].append('%s [warn=%f|datapoints=%s]' %\
(target, warning, ','.join(['%s' % str(x) for x in warn_oob])))
else:
check_output['OK'].append('%s [warn=%0.3f|crit=%f|datapoints=%s]' %\
(target, warning, critical, ','.join(['%s' % str(x) for x in datapoints])))
return check_output
def has_numbers(self, lst):
try:
return any([isinstance(x, Real) for x in lst])
except TypeError:
return False
if __name__ == '__main__':
parser = optparse.OptionParser()
parser.add_option('-U', '--graphite-url', dest='graphite_url',
default='http://localhost/',
metavar='URL',
help='Graphite URL [%default]')
parser.add_option('-t', '--target', dest='target',
action='append',
help='Target to check')
parser.add_option('--compare', dest='compare',
metavar='SERIES',
help='Compare TARGET against SERIES')
parser.add_option('--from', dest='_from',
help='From timestamp/date')
parser.add_option('--until', dest='_until',
default='now',
help='Until timestamp/date [%default]')
parser.add_option('-c', '--count', dest='count',
default=0,
type='int',
help='Alert on at least COUNT metrics [%default]')
parser.add_option('--beyond', dest='beyond',
default=0.7,
type='float',
help='Alert if metric is PERCENTAGE beyond comparison value [%default]')
parser.add_option('--percentile', dest='percentile',
default=0,
type='int',
metavar='PERCENT',
help='Use nPercentile Graphite function on the target (returns one datapoint)')
parser.add_option('--empty-ok', dest='empty_ok',
default=False,
action='store_true',
help='Empty data from Graphite is OK')
parser.add_option('--confidence', dest='confidence_bands',
default=False,
action='store_true',
help='Use holtWintersConfidenceBands Graphite function on the target')
parser.add_option('--over', dest='over',
default=True,
action='store_true',
help='Over specified WARNING or CRITICAL threshold [%default]')
parser.add_option('--under', dest='under',
default=False,
action='store_true',
help='Under specified WARNING or CRITICAL threshold [%default]')
parser.add_option('-W', dest='warning',
type='float',
metavar='VALUE',
help='Warning if datapoints beyond VALUE')
parser.add_option('-C', dest='critical',
type='float',
metavar='VALUE',
help='Critical if datapoints beyond VALUE')
(options, args) = parser.parse_args()
if not all([getattr(options, option) for option in ('_from', 'target')]):
parser.print_help()
sys.exit(NAGIOS_STATUSES['UNKNOWN'])
real_from = options._from
if options.under:
check_func = lambda x, y: x < y
options.over = False
else:
check_func = lambda x, y: x > y
if options.confidence_bands:
targets = [options.target[0], 'holtWintersConfidenceBands(%s)' % options.target[0]]
check_threshold = None
from_slice = int(options._from) * -1
real_from = '-2w'
if options.compare:
targets.append(options.compare)
else:
if not all([getattr(options, option) for option in ('critical', 'warning')]):
parser.print_help()
sys.exit(NAGIOS_STATUSES['UNKNOWN'])
if options.percentile:
targets = ['nPercentile(%s, %d)' % (options.target[0], options.percentile)]
else:
targets = options.target
try:
warn = float(options.warning)
crit = float(options.critical)
except ValueError:
print 'ERROR: WARNING or CRITICAL threshold is not a number\n'
parser.print_help()
sys.exit(NAGIOS_STATUSES['UNKNOWN'])
check_output = {}
graphite = Graphite(options.graphite_url, targets, real_from, options._until)
metric_data = graphite.fetch_metrics()
if metric_data:
if options.confidence_bands:
actual = [x[0] for x in metric_data[0].get('datapoints', [])][from_slice:]
target_name = metric_data[0]['target']
kwargs = {}
kwargs['beyond'] = options.beyond
if options.over:
kwargs['bounds'] = [x[0] for x in metric_data[1].get('datapoints', [])][from_slice:]
elif options.under:
kwargs['bounds'] = [x[0] for x in metric_data[2].get('datapoints', [])][from_slice:]
if options.compare:
kwargs['compare'] = [x[0] for x in metric_data[3].get('datapoints', [])][from_slice:]
if not graphite.has_numbers(kwargs['compare']):
print 'CRITICAL: No compare target output from Graphite!'
sys.exit(NAGIOS_STATUSES['CRITICAL'])
if graphite.has_numbers(actual) and graphite.has_numbers(kwargs['bounds']):
points_oob = graphite.check_datapoints(actual, check_func, **kwargs)
check_output[target_name] = graphite.generate_output(actual,
points_oob,
count=options.count,
target=target_name)
else:
print 'CRITICAL: No output from Graphite for target(s): %s' % ', '.join(targets)
sys.exit(NAGIOS_STATUSES['CRITICAL'])
else:
for target in metric_data:
datapoints = [x[0] for x in target.get('datapoints', []) if isinstance(x[0], Real)]
if not graphite.has_numbers(datapoints) and not options.empty_ok:
print 'CRITICAL: No output from Graphite for target(s): %s' % ', '.join(targets)
sys.exit(NAGIOS_STATUSES['CRITICAL'])
crit_oob = graphite.check_datapoints(datapoints, check_func, threshold=crit)
warn_oob = graphite.check_datapoints(datapoints, check_func, threshold=warn)
check_output[target['target']] = graphite.generate_output(datapoints,
warn_oob,
crit_oob,
count=options.count,
target=target['target'],
warning=warn,
critical=crit)
else:
if options.empty_ok and isinstance(metric_data, list):
print 'OK: No output from Graphite for target(s): %s' % ', '.join(targets)
sys.exit(NAGIOS_STATUSES['OK'])
print 'CRITICAL: No output from Graphite for target(s): %s' % ', '.join(targets)
sys.exit(NAGIOS_STATUSES['CRITICAL'])
for target, messages in check_output.iteritems():
if messages['CRITICAL']:
exit_code = NAGIOS_STATUSES['CRITICAL']
elif messages['WARNING']:
exit_code = NAGIOS_STATUSES['WARNING']
else:
exit_code = NAGIOS_STATUSES['OK']
for status_code in ['CRITICAL', 'WARNING', 'OK']:
if messages[status_code]:
print '\n'.join(['%s: %s' % (status_code, status) for status in messages[status_code]])
sys.exit(exit_code)
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