def check_metric(self, metric_name, thresholds):
""" Check one specific metric against a list of thresholds. Updates self.status() and writes to summary or longout as appropriate.
Arguments:
metric_name -- A string representing the name of the metric (the label part of the performance data)
thresholds -- a list in the form of [ (level,range) ] where range is a string in the format of "start..end"
Examples:
>>> thresholds = [(warning,'2..5'),(critical,'5..inf')]
>>> p = PluginHelper()
>>> p.check_metric('load15',thresholds)
Returns:
None
"""
metric = self.get_metric(label=metric_name)
# If threshold was specified but metric not found in our data, set status unknown
if metric is None:
self.status(unknown)
self.add_summary("Metric %s not found" % (metric_name))
return
metric_status = -1 # by default assume nothing
metric_was_outside_ok_range = False # Will go to true only if ok range is specified
highest_level = ok # highest threshold range seen
for level, threshold_range in thresholds:
highest_level = max(highest_level, level)
if metric.warn == '' and level == warning:
metric.warn = threshold_range
elif metric.crit == '' and level == critical:
metric.crit = threshold_range
if new_threshold_syntax.check_range(metric.value, threshold_range):
metric_status = max(metric_status, level)
self.debug('%s is within %s range "%s"' % (metric_name, state_text[level], threshold_range))
else:
self.debug('%s is outside %s range "%s"' % (metric_name, state_text[level],threshold_range))
metric_was_outside_ok_range = True
# If no thresholds were specified, lets put state to OK
metric_status = max(metric_status, OK)
# If an ok range was specified, and value was outside of it,
# we should return critical if warn or crit were specified:
if metric_was_outside_ok_range == True and highest_level == ok:
metric_status = max(metric_status, critical)
# OK's go to long output, errors go directly to summary
self.add_status(metric_status)
message = '%s on %s' % (state_text[metric_status], metric_name)
# Errors are added to the summary:
if metric_status > 0:
self.add_summary(message)
if self.verbose == True:
self.add_long_output(message)
def check_metric(self, metric_name, thresholds):
""" Check one specific metric against a list of thresholds. Updates self.status() and writes to summary or longout as appropriate.
Arguments:
metric_name -- A string representing the name of the metric (the label part of the performance data)
thresholds -- a list in the form of [ (level,range) ] where range is a string in the format of "start..end"
Examples:
>>> p = PluginHelper()
>>> thresholds = [(warning,'2..5'), (critical,'5..inf')]
>>> p.get_plugin_output()
'Unknown -'
>>> p.add_metric('load15', '3')
>>> p.check_metric('load15',thresholds)
>>> p.get_plugin_output()
"Warning - Warning on load15 | 'load15'=3;2..5;5..inf;;"
>>> p = PluginHelper()
>>> thresholds = [(warning,'2..5'), (critical,'5..inf')]
>>> p.add_metric('load15', '3')
>>> p.verbose = True
>>> p.check_metric('load15',thresholds)
>>> p.get_plugin_output()
"Warning - Warning on load15 | 'load15'=3;2..5;5..inf;;\\nWarning on load15"
Invalid metric:
>>> p = PluginHelper()
>>> p.add_status(ok)
>>> p.add_summary('Everythings fine!')
>>> p.get_plugin_output()
'OK - Everythings fine!'
>>> thresholds = [(warning,'2..5'), (critical,'5..inf')]
>>> p.check_metric('never_added_metric', thresholds)
>>> p.get_plugin_output()
'Unknown - Everythings fine!. Metric never_added_metric not found'
Invalid threshold:
>>> p = PluginHelper()
>>> thresholds = [(warning, 'invalid'), (critical,'5..inf')]
>>> p.add_metric('load1', '10')
>>> p.check_metric('load1', thresholds)
Traceback (most recent call last):
...
SystemExit: 3
Returns:
None
"""
metric = self.get_metric(label=metric_name)
# If threshold was specified but metric not found in our data, set status unknown
if metric is None:
self.status(unknown)
self.add_summary("Metric %s not found" % (metric_name))
return
metric_status = -1 # by default assume nothing
default_state = 0 # By default if no treshold matches, we assume OK
highest_level = ok # highest threshold range seen
# Iterate through all thresholds, and log down warn and crit for perfdata purposes
for level, threshold_range in thresholds:
if metric.warn == '' and level == warning:
metric.warn = threshold_range
elif metric.crit == '' and level == critical:
metric.crit = threshold_range
if level == ok:
default_state = 2
# Iterate all threshold and determine states
for level, threshold_range in thresholds:
highest_level = max(highest_level, level)
# If ok threshold was specified, default state is critical according to spec
# If value matches our threshold, we increment the status
try:
in_range = new_threshold_syntax.check_range(metric.value, threshold_range)
except PynagError:
self.set_summary(
"Could not parse threshold %s=%s for metric %s" %
(state_text[level], threshold_range, metric_name)
)
self.set_long_output("Thresholds should be in the format metric=<metric_name>,ok=0..90,warning=90..95")
self.add_long_output("Example: ")
self.add_long_output("--th metric=load,ok=0..1,warning=1..5,critical=5..inf")
self.status(unknown)
self.exit()
if in_range:
metric_status = max(metric_status, level)
self.debug('%s is within %s range "%s"' % (metric_name, state_text[level], threshold_range))
if level == ok:
self.debug("OK threshold matches, not checking any more thresholds")
metric_status = ok
break
else:
self.debug('%s is outside %s range "%s"' % (metric_name, state_text[level],threshold_range))
# If no thresholds matched, set a default return code
if metric_status < 0:
metric_status = default_state
# OK's go to long output, errors go directly to summary
self.add_status(metric_status)
message = '%s on %s' % (state_text[metric_status], metric_name)
# Errors are added to the summary:
if metric_status > 0:
self.add_summary(message)
if self.verbose == True:
self.add_long_output(message)
def check_metric(self, metric_name, thresholds):
""" Check one specific metric against a list of thresholds. Updates self.status() and writes to summary or longout as appropriate.
Arguments:
metric_name -- A string representing the name of the metric (the label part of the performance data)
thresholds -- a list in the form of [ (level,range) ] where range is a string in the format of "start..end"
Examples:
>>> thresholds = [(warning,'2..5'),(critical,'5..inf')]
>>> p = PluginHelper()
>>> p.check_metric('load15',thresholds)
Returns:
None
"""
metric = self.get_metric(label=metric_name)
# If threshold was specified but metric not found in our data, set status unknown
if metric is None:
self.status(unknown)
self.add_summary("Metric %s not found" % (metric_name))
return
metric_status = -1 # by default assume nothing
default_state = 0 # By default if no treshold matches, we assume OK
highest_level = ok # highest threshold range seen
# Iterate through all thresholds, and log down warn and crit for perfdata purposes
for level, threshold_range in thresholds:
if metric.warn == '' and level == warning:
metric.warn = threshold_range
elif metric.crit == '' and level == critical:
metric.crit = threshold_range
if level == ok:
default_state = 2
# Iterate all threshold and determine states
for level, threshold_range in thresholds:
highest_level = max(highest_level, level)
# If ok threshold was specified, default state is critical according to spec
# If value matches our threshold, we increment the status
if new_threshold_syntax.check_range(metric.value, threshold_range):
metric_status = max(metric_status, level)
self.debug('%s is within %s range "%s"' % (metric_name, state_text[level], threshold_range))
if level == ok:
self.debug("OK threshold matches, not checking any more thresholds")
metric_status = ok
break
else:
self.debug('%s is outside %s range "%s"' % (metric_name, state_text[level],threshold_range))
# If no thresholds matched, set a default return code
if metric_status < 0:
metric_status = default_state
# OK's go to long output, errors go directly to summary
self.add_status(metric_status)
message = '%s on %s' % (state_text[metric_status], metric_name)
# Errors are added to the summary:
if metric_status > 0:
self.add_summary(message)
if self.verbose == True:
self.add_long_output(message)
def check_metric(self, metric_name, thresholds):
""" Check one specific metric against a list of thresholds. Updates self.status() and writes to summary or longout as appropriate.
Arguments:
metric_name -- A string representing the name of the metric (the label part of the performance data)
thresholds -- a list in the form of [ (level,range) ] where range is a string in the format of "start..end"
Examples:
>>> p = PluginHelper()
>>> thresholds = [(warning,'2..5'), (critical,'5..inf')]
>>> p.get_plugin_output()
'Unknown -'
>>> p.add_metric('load15', '3')
>>> p.check_metric('load15',thresholds)
>>> p.get_plugin_output()
"Warning - Warning on load15 | 'load15'=3;@2:5;~:5;;"
>>> p = PluginHelper()
>>> thresholds = [(warning,'2..5'), (critical,'5..inf')]
>>> p.add_metric('load15', '3')
>>> p.verbose = True
>>> p.check_metric('load15',thresholds)
>>> p.get_plugin_output()
"Warning - Warning on load15 | 'load15'=3;@2:5;~:5;;\\nWarning on load15"
Invalid metric:
>>> p = PluginHelper()
>>> p.add_status(ok)
>>> p.add_summary('Everythings fine!')
>>> p.get_plugin_output()
'OK - Everythings fine!'
>>> thresholds = [(warning,'2..5'), (critical,'5..inf')]
>>> p.check_metric('never_added_metric', thresholds)
>>> p.get_plugin_output()
'Unknown - Everythings fine!. Metric never_added_metric not found'
Invalid threshold:
>>> p = PluginHelper()
>>> thresholds = [(warning, 'invalid'), (critical,'5..inf')]
>>> p.add_metric('load1', '10')
>>> p.check_metric('load1', thresholds)
Traceback (most recent call last):
...
SystemExit: 3
Returns:
None
"""
metric = self.get_metric(label=metric_name)
# If threshold was specified but metric not found in our data, set
# status unknown
if metric is None:
self.status(unknown)
self.add_summary("Metric %s not found" % (metric_name))
return
metric_status = -1 # by default assume nothing
default_state = 0 # By default if no treshold matches, we assume OK
highest_level = ok # highest threshold range seen
# Iterate through all thresholds, and log down warn and crit for
# perfdata purposes
for level, threshold_range in thresholds:
if metric.warn == '' and level == warning:
metric.warn = threshold_range
elif metric.crit == '' and level == critical:
metric.crit = threshold_range
if level == ok:
default_state = 2
# Iterate all threshold and determine states
for level, threshold_range in thresholds:
highest_level = max(highest_level, level)
# If ok threshold was specified, default state is critical according to spec
# If value matches our threshold, we increment the status
try:
in_range = new_threshold_syntax.check_range(
metric.value, threshold_range)
except PynagError:
self.set_summary(
"Could not parse threshold %s=%s for metric %s" %
(state_text[
level], threshold_range, metric_name)
)
self.set_long_output(
"Thresholds should be in the format metric=<metric_name>,ok=0..90,warning=90..95")
self.add_long_output("Example: ")
self.add_long_output(
"--th metric=load,ok=0..1,warning=1..5,critical=5..inf")
self.status(unknown)
self.exit()
if in_range:
metric_status = max(metric_status, level)
self.debug('%s is within %s range "%s"' %
(metric_name, state_text[level], threshold_range))
if level == ok:
self.debug(
"OK threshold matches, not checking any more thresholds")
metric_status = ok
break
else:
self.debug('%s is outside %s range "%s"' %
(metric_name, state_text[level], threshold_range))
# If no thresholds matched, set a default return code
if metric_status < 0:
metric_status = default_state
# OK's go to long output, errors go directly to summary
self.add_status(metric_status)
message = '%s on %s' % (state_text[metric_status], metric_name)
# Errors are added to the summary:
if metric_status > 0:
self.add_summary(message)
if self.verbose is True:
self.add_long_output(message)