def _run(self):
result = StatusCheckResult(status_check=self)
args = [
'ping', '-s',
str(self.packet_size), '-c',
str(self.count), '-W',
str(self.timeout), self.host
]
try:
result.raw_data = subprocess.check_output(args,
stderr=subprocess.STDOUT,
shell=False)
r = self._parse_output(result.raw_data)
if r['packet_loss'] > 0.0:
raise Exception("%0.1f%% packet loss" % r['packet_loss'])
elif self.max_rtt and r['rtt']['avg'] > self.max_rtt:
raise Exception("Maximum average RTT reached: %s" %
r['rtt']['avg'])
except subprocess.CalledProcessError as e:
result.succeeded = False
result.error = e.output
except Exception as e:
result.error = u"{}, Host: {}".format(e.message, self.host)
result.succeeded = False
else:
result.succeeded = True
return result
def _run(self):
result = StatusCheckResult(status_check=self)
try:
rval = self._check()
except StatusGoException as e:
result.raw_data = e.raw_data
result.error = u'Error occurred: {}'.format(e.message)
result.succeeded = False
except Exception as e:
result.error = u'Error occurred: {}'.format(e)
result.succeeded = False
else:
result.raw_data = rval
result.succeeded = True
return result
def _run(self):
result = StatusCheckResult(status_check=self)
sess = SmtpSession()
conversation = []
try:
sess.connect(self.host, self.port)
sess.ehlo(self.helo_address)
if self.sender:
sess.call('MAIL FROM:', self.sender)
if self.sender and self.recipient:
sess.call('RCPT TO:', self.recipient)
except Exception as e:
result.error = u'Error occurred %s: %s' % (
e.__class__.__name__,
e.message,
)
result.succeeded = False
if len(sess.response_codes) > 0:
result.succeeded = self.expected_code == sess.response_codes[
-1]
except:
result.error = u'Error occurred: %s' % (sys.exc_info()[0], )
result.succeeded = False
else:
result.succeeded = False
if len(sess.response_codes) > 0:
result.succeeded = self.expected_code == sess.response_codes[
-1]
finally:
sess.quit()
result.raw_data = "\n".join(sess.conversation)
return result
def _run(self):
result = StatusCheckResult(status_check=self)
try:
self.checkIfMonitorIdExists()
monitorResponse = self.findMonitor()
if (monitorResponse.status_code == 401):
result.error = u"Cant find monitor process {} with id: {}. Probably it was deleted.".format(self.monitor_name,self.monitor_id)
result.succeeded = False
result.raw_data = '401 UNAUTHORIZED'
return result
if (monitorResponse.status_code == 404):
result.error = u"Cant find monitor process {} with id: {}. Probably it was deleted.".format(self.monitor_name,self.monitor_id)
result.succeeded = False
result.raw_data = '404 NOT FOUND'
return result
if (monitorResponse.status_code == 200):
monitorData = monitorResponse.json().get('monitorDetails')
if (monitorData.get('isDown')):
result.error = u"Monitor process {} is down! Please checkin using URL: {}".format(self.monitor_name,self.monitor_checkin)
result.succeeded = False
result.raw_data = self.buildRawData(monitorData)
return result
else:
result.succeeded = True
result.error = 'None'
result.raw_data = 'Monitor is alive!'
return result
result.succeeded = True
result.error = 'Unexpected response!'
result.raw_data = u'Response code is: {}'.format(monitorResponse.status_code)
return result
except Exception as e:
result.error = e.args
result.succeeded = False
result.raw_data = e.args
return result
def run_metrics_check(check):
"""
Run the status check.
:param check: the status check
:return: a StatusCheckResult containing success/failure/error information
"""
# Get the series data. If there was an error, return immediately.
series = check.get_series()
# If there was an error fetching metrics, fail
if series['error'] is True:
message = series.get('error_message')
logger.exception('Error fetching metrics: {}: {}'.format(
series.get('error_code'), message))
error = 'Error fetching metric from source: {}'.format(message)
return StatusCheckResult(status_check=check,
succeeded=False,
error=error), [check.tag_fetch_error]
# If the series is empty, apply the empty-series handler
if series['data'] == []:
if check.on_empty_series == defs.ON_EMPTY_SERIES_PASS:
return StatusCheckResult(status_check=check,
succeeded=True,
error='SUCCESS: no data'), []
if check.on_empty_series == defs.ON_EMPTY_SERIES_WARN:
check.importance = Service.WARNING_STATUS
tags = [check.tag_no_data]
return StatusCheckResult(status_check=check,
succeeded=False,
error='WARNING: no data'), tags
if check.on_empty_series == defs.ON_EMPTY_SERIES_FAIL:
check.importance = check.high_alert_importance
tags = [check.tag_no_data]
return StatusCheckResult(status_check=check,
succeeded=False,
error='{}: no data'.format(
check.importance)), tags
# Ignore all checks before the following start time
start_time = time.time() - check.time_range * 60
def filter_old_points(p):
timestamp = p[0]
if timestamp <= start_time:
logger.debug('Ignoring point {} older than {}'.format(
str(p), str(start_time)))
return False
return True
parsed_series = series['data']
logger.info('Processing series {}'.format(str(parsed_series)))
# order is important - most severe first, since we report the first error found
thresholds = [
(check.high_alert_importance, check.high_alert_value),
(Service.WARNING_STATUS, check.warning_value),
]
# Process each series, updating result and tags as we go
result = StatusCheckResult(status_check=check, succeeded=True)
result.raw_data = _get_raw_data_with_thresholds(check, series)
tags = []
# loop order is:
# (high_importance, series_1), (high_importance, series_2), ...,
# (warning, series_1), (warning, series_2), ...
# and we report the first error encountered as our error
# (but continue looping so we accumulate tags)
for importance, threshold in thresholds:
for series_data in parsed_series:
series_name = series_data['series']
datapoints = list(
filter(filter_old_points, series_data['datapoints']))
failing_point = _point_triggering_alert(datapoints,
check.check_type,
check.consecutive_failures,
threshold)
if failing_point is not None:
tags.append(check.tag_failing(importance, series_name))
if result.succeeded:
# record the first, most severe failure
result.succeeded = False
check.importance = importance
result.error = _get_error_message(check, threshold,
importance, series_name,
failing_point[1])
logger.info('Finished processing series {}'.format(series_name))
return result, tags
def _run(self):
if not hasattr(self, 'utcnow'):
self.utcnow = None
result = StatusCheckResult(status_check=self)
# NOTE: Can be added later
# last_result = self.last_result()
#
# if last_result:
# last_result_started = last_result.time
# time_to_check = max(self.frequency, ((timezone.now() - last_result_started).total_seconds() / 60) + 1)
# else:
# time_to_check = self.frequency
output = self.parse_metric()
result.raw_data = output["raw"]
# Check if the metric condition
if output["error"]:
result.error = output["error"]
result.succeeded = False
return result
if not output["num_series_with_data"]:
result.error = "Empty result for given metric"
result.succeeded = False
return result
failures = []
failure_value = None
if output['num_series_with_data'] > 0:
result.average_value = output['average_value']
for s in output['series']:
if not s["values"]:
continue
failure_value = None
if self.check_type == '<':
if float(s["min"]) < float(self.value):
failure_value = s["min"]
elif self.check_type == '<=':
if float(s["min"]) <= float(self.value):
failure_value = s["min"]
elif self.check_type == '>':
if float(s["max"]) > float(self.value):
failure_value = s["max"]
elif self.check_type == '>=':
if float(s["max"]) >= float(self.value):
failure_value = s["max"]
elif self.check_type == '==':
if float(self.value) in s['values']:
failure_value = float(self.value)
else:
raise Exception(u'Check type %s not supported' %
self.check_type)
if failure_value:
failures.append(failure_value)
if len(failures) > self.allowed_num_failures:
result.succeeded = False
elif output['num_series_with_data'] < self.expected_num_hosts:
result.succeeded = False
else:
result.succeeded = True
if not result.succeeded:
# targets = [s["target"] for s in output["series"]]
# hosts = minimize_targets(targets)
# hosts_by_target = dict(zip(targets, hosts))
result.error = self.format_error_message(
failures,
output['num_series_with_data']
)
return result
