evaluator: remove global conf usage from threshold evaluator

Change-Id: Ie0c9247a7c81da5a902b7b8f0847008392f70c78
This commit is contained in:
Julien Danjou 2015-07-26 16:31:31 +02:00
parent 79eb75223a
commit e5db4b75f1
2 changed files with 260 additions and 315 deletions

View File

@ -50,29 +50,23 @@ class ThresholdEvaluator(evaluator.Evaluator):
def __init__(self, conf, notifier):
super(ThresholdEvaluator, self).__init__(conf, notifier)
self.api_client = None
auth_config = conf.service_credentials
self._client = ceiloclient.get_client(
2,
os_auth_url=auth_config.os_auth_url,
os_region_name=auth_config.os_region_name,
os_tenant_name=auth_config.os_tenant_name,
os_password=auth_config.os_password,
os_username=auth_config.os_username,
os_cacert=auth_config.os_cacert,
os_endpoint_type=auth_config.os_endpoint_type,
insecure=auth_config.insecure,
timeout=conf.http_timeout,
os_user_domain_id=auth_config.os_user_domain_id,
os_project_name=auth_config.os_project_name,
os_project_domain_id=auth_config.os_project_domain_id,
@property
def _client(self):
"""Construct or reuse an authenticated API client."""
if not self.api_client:
auth_config = cfg.CONF.service_credentials
creds = dict(
os_auth_url=auth_config.os_auth_url,
os_region_name=auth_config.os_region_name,
os_tenant_name=auth_config.os_tenant_name,
os_password=auth_config.os_password,
os_username=auth_config.os_username,
os_cacert=auth_config.os_cacert,
os_endpoint_type=auth_config.os_endpoint_type,
insecure=auth_config.insecure,
timeout=cfg.CONF.http_timeout,
os_user_domain_id=auth_config.os_user_domain_id,
os_project_name=auth_config.os_project_name,
os_project_domain_id=auth_config.os_project_domain_id,
)
self.api_client = ceiloclient.get_client(2, **creds)
return self.api_client
)
@classmethod
def _bound_duration(cls, alarm):

View File

@ -113,118 +113,112 @@ class TestEvaluate(base.TestEvaluatorBase):
for alarm in self.alarms:
alarm.rule[field] = value
def setUp(self):
super(TestEvaluate, self).setUp()
self.evaluator._client = self.api_client
def test_retry_transient_api_failure(self):
with mock.patch('ceilometerclient.client.get_client',
return_value=self.api_client):
broken = exc.CommunicationError(message='broken')
avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] - v)
for v in moves.xrange(5)]
maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] + v)
for v in moves.xrange(1, 5)]
self.api_client.statistics.list.side_effect = [broken,
broken,
avgs,
maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('insufficient data')
self._evaluate_all_alarms()
self._assert_all_alarms('ok')
broken = exc.CommunicationError(message='broken')
avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] - v)
for v in moves.xrange(5)]
maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] + v)
for v in moves.xrange(1, 5)]
self.api_client.statistics.list.side_effect = [broken,
broken,
avgs,
maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('insufficient data')
self._evaluate_all_alarms()
self._assert_all_alarms('ok')
def test_simple_insufficient(self):
self._set_all_alarms('ok')
with mock.patch('ceilometerclient.client.get_client',
return_value=self.api_client):
self.api_client.statistics.list.return_value = []
self._evaluate_all_alarms()
self._assert_all_alarms('insufficient data')
expected = [mock.call(alarm) for alarm in self.alarms]
update_calls = self.storage_conn.update_alarm.call_args_list
self.assertEqual(expected, update_calls)
expected = [mock.call(
alarm,
'ok',
('%d datapoints are unknown'
% alarm.rule['evaluation_periods']),
self._reason_data('unknown',
alarm.rule['evaluation_periods'],
None))
for alarm in self.alarms]
self.assertEqual(expected, self.notifier.notify.call_args_list)
self.api_client.statistics.list.return_value = []
self._evaluate_all_alarms()
self._assert_all_alarms('insufficient data')
expected = [mock.call(alarm) for alarm in self.alarms]
update_calls = self.storage_conn.update_alarm.call_args_list
self.assertEqual(expected, update_calls)
expected = [mock.call(
alarm,
'ok',
('%d datapoints are unknown'
% alarm.rule['evaluation_periods']),
self._reason_data('unknown',
alarm.rule['evaluation_periods'],
None))
for alarm in self.alarms]
self.assertEqual(expected, self.notifier.notify.call_args_list)
def test_less_insufficient_data(self):
self._set_all_alarms('ok')
with mock.patch('ceilometerclient.client.get_client',
return_value=self.api_client):
avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] - v)
for v in moves.xrange(4)]
maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] - v)
for v in moves.xrange(1, 4)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('insufficient data')
expected = [mock.call(alarm) for alarm in self.alarms]
update_calls = self.storage_conn.update_alarm.call_args_list
self.assertEqual(update_calls, expected)
expected = [mock.call(
alarm,
'ok',
('%d datapoints are unknown'
% alarm.rule['evaluation_periods']),
self._reason_data('unknown',
alarm.rule['evaluation_periods'],
alarm.rule['threshold'] - 3))
for alarm in self.alarms]
self.assertEqual(expected, self.notifier.notify.call_args_list)
avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] - v)
for v in moves.xrange(4)]
maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] - v)
for v in moves.xrange(1, 4)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('insufficient data')
expected = [mock.call(alarm) for alarm in self.alarms]
update_calls = self.storage_conn.update_alarm.call_args_list
self.assertEqual(update_calls, expected)
expected = [mock.call(
alarm,
'ok',
('%d datapoints are unknown'
% alarm.rule['evaluation_periods']),
self._reason_data('unknown',
alarm.rule['evaluation_periods'],
alarm.rule['threshold'] - 3))
for alarm in self.alarms]
self.assertEqual(expected, self.notifier.notify.call_args_list)
def test_simple_alarm_trip(self):
self._set_all_alarms('ok')
with mock.patch('ceilometerclient.client.get_client',
return_value=self.api_client):
avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] + v)
for v in moves.xrange(1, 6)]
maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] - v)
for v in moves.xrange(4)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('alarm')
expected = [mock.call(alarm) for alarm in self.alarms]
update_calls = self.storage_conn.update_alarm.call_args_list
self.assertEqual(expected, update_calls)
reasons = ['Transition to alarm due to 5 samples outside'
' threshold, most recent: %s' % avgs[-1].avg,
'Transition to alarm due to 4 samples outside'
' threshold, most recent: %s' % maxs[-1].max]
reason_datas = [self._reason_data('outside', 5, avgs[-1].avg),
self._reason_data('outside', 4, maxs[-1].max)]
expected = [mock.call(alarm, 'ok', reason, reason_data)
for alarm, reason, reason_data
in zip(self.alarms, reasons, reason_datas)]
self.assertEqual(expected, self.notifier.notify.call_args_list)
avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] + v)
for v in moves.xrange(1, 6)]
maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] - v)
for v in moves.xrange(4)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('alarm')
expected = [mock.call(alarm) for alarm in self.alarms]
update_calls = self.storage_conn.update_alarm.call_args_list
self.assertEqual(expected, update_calls)
reasons = ['Transition to alarm due to 5 samples outside'
' threshold, most recent: %s' % avgs[-1].avg,
'Transition to alarm due to 4 samples outside'
' threshold, most recent: %s' % maxs[-1].max]
reason_datas = [self._reason_data('outside', 5, avgs[-1].avg),
self._reason_data('outside', 4, maxs[-1].max)]
expected = [mock.call(alarm, 'ok', reason, reason_data)
for alarm, reason, reason_data
in zip(self.alarms, reasons, reason_datas)]
self.assertEqual(expected, self.notifier.notify.call_args_list)
def test_simple_alarm_clear(self):
self._set_all_alarms('alarm')
with mock.patch('ceilometerclient.client.get_client',
return_value=self.api_client):
avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] - v)
for v in moves.xrange(5)]
maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] + v)
for v in moves.xrange(1, 5)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('ok')
expected = [mock.call(alarm) for alarm in self.alarms]
update_calls = self.storage_conn.update_alarm.call_args_list
self.assertEqual(expected, update_calls)
reasons = ['Transition to ok due to 5 samples inside'
' threshold, most recent: %s' % avgs[-1].avg,
'Transition to ok due to 4 samples inside'
' threshold, most recent: %s' % maxs[-1].max]
reason_datas = [self._reason_data('inside', 5, avgs[-1].avg),
self._reason_data('inside', 4, maxs[-1].max)]
expected = [mock.call(alarm, 'alarm', reason, reason_data)
for alarm, reason, reason_data
in zip(self.alarms, reasons, reason_datas)]
self.assertEqual(expected, self.notifier.notify.call_args_list)
avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] - v)
for v in moves.xrange(5)]
maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] + v)
for v in moves.xrange(1, 5)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('ok')
expected = [mock.call(alarm) for alarm in self.alarms]
update_calls = self.storage_conn.update_alarm.call_args_list
self.assertEqual(expected, update_calls)
reasons = ['Transition to ok due to 5 samples inside'
' threshold, most recent: %s' % avgs[-1].avg,
'Transition to ok due to 4 samples inside'
' threshold, most recent: %s' % maxs[-1].max]
reason_datas = [self._reason_data('inside', 5, avgs[-1].avg),
self._reason_data('inside', 4, maxs[-1].max)]
expected = [mock.call(alarm, 'alarm', reason, reason_data)
for alarm, reason, reason_data
in zip(self.alarms, reasons, reason_datas)]
self.assertEqual(expected, self.notifier.notify.call_args_list)
def _construct_payloads(self):
payloads = []
@ -281,91 +275,83 @@ class TestEvaluate(base.TestEvaluatorBase):
def test_equivocal_from_known_state(self):
self._set_all_alarms('ok')
with mock.patch('ceilometerclient.client.get_client',
return_value=self.api_client):
avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] + v)
for v in moves.xrange(5)]
maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] - v)
for v in moves.xrange(-1, 3)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('ok')
self.assertEqual(
[],
self.storage_conn.update_alarm.call_args_list)
self.assertEqual([], self.notifier.notify.call_args_list)
avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] + v)
for v in moves.xrange(5)]
maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] - v)
for v in moves.xrange(-1, 3)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('ok')
self.assertEqual(
[],
self.storage_conn.update_alarm.call_args_list)
self.assertEqual([], self.notifier.notify.call_args_list)
def test_equivocal_from_known_state_and_repeat_actions(self):
self._set_all_alarms('ok')
self.alarms[1].repeat_actions = True
with mock.patch('ceilometerclient.client.get_client',
return_value=self.api_client):
avgs = [self._get_stat('avg',
self.alarms[0].rule['threshold'] + v)
for v in moves.xrange(5)]
maxs = [self._get_stat('max',
self.alarms[1].rule['threshold'] - v)
for v in moves.xrange(-1, 3)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('ok')
self.assertEqual([],
self.storage_conn.update_alarm.call_args_list)
reason = ('Remaining as ok due to 4 samples inside'
' threshold, most recent: 8.0')
reason_datas = self._reason_data('inside', 4, 8.0)
expected = [mock.call(self.alarms[1], 'ok', reason, reason_datas)]
self.assertEqual(expected, self.notifier.notify.call_args_list)
avgs = [self._get_stat('avg',
self.alarms[0].rule['threshold'] + v)
for v in moves.xrange(5)]
maxs = [self._get_stat('max',
self.alarms[1].rule['threshold'] - v)
for v in moves.xrange(-1, 3)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('ok')
self.assertEqual([],
self.storage_conn.update_alarm.call_args_list)
reason = ('Remaining as ok due to 4 samples inside'
' threshold, most recent: 8.0')
reason_datas = self._reason_data('inside', 4, 8.0)
expected = [mock.call(self.alarms[1], 'ok', reason, reason_datas)]
self.assertEqual(expected, self.notifier.notify.call_args_list)
def test_unequivocal_from_known_state_and_repeat_actions(self):
self._set_all_alarms('alarm')
self.alarms[1].repeat_actions = True
with mock.patch('ceilometerclient.client.get_client',
return_value=self.api_client):
avgs = [self._get_stat('avg',
self.alarms[0].rule['threshold'] + v)
for v in moves.xrange(1, 6)]
maxs = [self._get_stat('max',
self.alarms[1].rule['threshold'] - v)
for v in moves.xrange(4)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('alarm')
self.assertEqual([],
self.storage_conn.update_alarm.call_args_list)
reason = ('Remaining as alarm due to 4 samples outside'
' threshold, most recent: 7.0')
reason_datas = self._reason_data('outside', 4, 7.0)
expected = [mock.call(self.alarms[1], 'alarm',
reason, reason_datas)]
self.assertEqual(expected, self.notifier.notify.call_args_list)
avgs = [self._get_stat('avg',
self.alarms[0].rule['threshold'] + v)
for v in moves.xrange(1, 6)]
maxs = [self._get_stat('max',
self.alarms[1].rule['threshold'] - v)
for v in moves.xrange(4)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('alarm')
self.assertEqual([],
self.storage_conn.update_alarm.call_args_list)
reason = ('Remaining as alarm due to 4 samples outside'
' threshold, most recent: 7.0')
reason_datas = self._reason_data('outside', 4, 7.0)
expected = [mock.call(self.alarms[1], 'alarm',
reason, reason_datas)]
self.assertEqual(expected, self.notifier.notify.call_args_list)
def test_state_change_and_repeat_actions(self):
self._set_all_alarms('ok')
self.alarms[0].repeat_actions = True
self.alarms[1].repeat_actions = True
with mock.patch('ceilometerclient.client.get_client',
return_value=self.api_client):
avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] + v)
for v in moves.xrange(1, 6)]
maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] - v)
for v in moves.xrange(4)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('alarm')
expected = [mock.call(alarm) for alarm in self.alarms]
update_calls = self.storage_conn.update_alarm.call_args_list
self.assertEqual(expected, update_calls)
reasons = ['Transition to alarm due to 5 samples outside'
' threshold, most recent: %s' % avgs[-1].avg,
'Transition to alarm due to 4 samples outside'
' threshold, most recent: %s' % maxs[-1].max]
reason_datas = [self._reason_data('outside', 5, avgs[-1].avg),
self._reason_data('outside', 4, maxs[-1].max)]
expected = [mock.call(alarm, 'ok', reason, reason_data)
for alarm, reason, reason_data
in zip(self.alarms, reasons, reason_datas)]
self.assertEqual(expected, self.notifier.notify.call_args_list)
avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] + v)
for v in moves.xrange(1, 6)]
maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] - v)
for v in moves.xrange(4)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('alarm')
expected = [mock.call(alarm) for alarm in self.alarms]
update_calls = self.storage_conn.update_alarm.call_args_list
self.assertEqual(expected, update_calls)
reasons = ['Transition to alarm due to 5 samples outside'
' threshold, most recent: %s' % avgs[-1].avg,
'Transition to alarm due to 4 samples outside'
' threshold, most recent: %s' % maxs[-1].max]
reason_datas = [self._reason_data('outside', 5, avgs[-1].avg),
self._reason_data('outside', 4, maxs[-1].max)]
expected = [mock.call(alarm, 'ok', reason, reason_data)
for alarm, reason, reason_data
in zip(self.alarms, reasons, reason_datas)]
self.assertEqual(expected, self.notifier.notify.call_args_list)
def test_evaluation_keep_alarm_attributes_constant(self):
self._set_all_alarms('ok')
@ -387,29 +373,27 @@ class TestEvaluate(base.TestEvaluatorBase):
def test_equivocal_from_unknown(self):
self._set_all_alarms('insufficient data')
with mock.patch('ceilometerclient.client.get_client',
return_value=self.api_client):
avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] + v)
for v in moves.xrange(1, 6)]
maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] - v)
for v in moves.xrange(4)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('alarm')
expected = [mock.call(alarm) for alarm in self.alarms]
update_calls = self.storage_conn.update_alarm.call_args_list
self.assertEqual(expected, update_calls)
reasons = ['Transition to alarm due to 5 samples outside'
' threshold, most recent: %s' % avgs[-1].avg,
'Transition to alarm due to 4 samples outside'
' threshold, most recent: %s' % maxs[-1].max]
reason_datas = [self._reason_data('outside', 5, avgs[-1].avg),
self._reason_data('outside', 4, maxs[-1].max)]
expected = [mock.call(alarm, 'insufficient data',
reason, reason_data)
for alarm, reason, reason_data
in zip(self.alarms, reasons, reason_datas)]
self.assertEqual(expected, self.notifier.notify.call_args_list)
avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] + v)
for v in moves.xrange(1, 6)]
maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] - v)
for v in moves.xrange(4)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('alarm')
expected = [mock.call(alarm) for alarm in self.alarms]
update_calls = self.storage_conn.update_alarm.call_args_list
self.assertEqual(expected, update_calls)
reasons = ['Transition to alarm due to 5 samples outside'
' threshold, most recent: %s' % avgs[-1].avg,
'Transition to alarm due to 4 samples outside'
' threshold, most recent: %s' % maxs[-1].max]
reason_datas = [self._reason_data('outside', 5, avgs[-1].avg),
self._reason_data('outside', 4, maxs[-1].max)]
expected = [mock.call(alarm, 'insufficient data',
reason, reason_data)
for alarm, reason, reason_data
in zip(self.alarms, reasons, reason_datas)]
self.assertEqual(expected, self.notifier.notify.call_args_list)
def _do_test_bound_duration(self, start, exclude_outliers=None):
alarm = self.alarms[0]
@ -430,67 +414,38 @@ class TestEvaluate(base.TestEvaluatorBase):
def test_bound_duration_outlier_exclusion_set(self):
self._do_test_bound_duration('2012-07-02T10:35:00', True)
def test_threshold_endpoint_types(self):
endpoint_types = ["internalURL", "publicURL"]
for endpoint_type in endpoint_types:
self.conf.set_override('os_endpoint_type',
endpoint_type,
group='service_credentials')
with mock.patch('ceilometerclient.client.get_client') as client:
self.evaluator.api_client = None
self._evaluate_all_alarms()
conf = self.conf.service_credentials
expected = [mock.call(
2,
os_auth_url=conf.os_auth_url,
os_region_name=conf.os_region_name,
os_tenant_name=conf.os_tenant_name,
os_password=conf.os_password,
os_username=conf.os_username,
os_cacert=conf.os_cacert,
os_endpoint_type=conf.os_endpoint_type,
timeout=self.conf.http_timeout,
insecure=conf.insecure,
os_user_domain_id=conf.os_user_domain_id,
os_project_name=conf.os_project_name,
os_project_domain_id=conf.os_project_domain_id)]
actual = client.call_args_list
self.assertEqual(expected, actual)
def _do_test_simple_alarm_trip_outlier_exclusion(self, exclude_outliers):
self._set_all_rules('exclude_outliers', exclude_outliers)
self._set_all_alarms('ok')
with mock.patch('ceilometerclient.client.get_client',
return_value=self.api_client):
# most recent datapoints inside threshold but with
# anomalously low sample count
threshold = self.alarms[0].rule['threshold']
avgs = [self._get_stat('avg',
threshold + (v if v < 10 else -v),
count=20 if v < 10 else 1)
for v in moves.xrange(1, 11)]
threshold = self.alarms[1].rule['threshold']
maxs = [self._get_stat('max',
threshold - (v if v < 7 else -v),
count=20 if v < 7 else 1)
for v in moves.xrange(8)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('alarm' if exclude_outliers else 'ok')
if exclude_outliers:
expected = [mock.call(alarm) for alarm in self.alarms]
update_calls = self.storage_conn.update_alarm.call_args_list
self.assertEqual(expected, update_calls)
reasons = ['Transition to alarm due to 5 samples outside'
' threshold, most recent: %s' % avgs[-2].avg,
'Transition to alarm due to 4 samples outside'
' threshold, most recent: %s' % maxs[-2].max]
reason_datas = [self._reason_data('outside', 5, avgs[-2].avg),
self._reason_data('outside', 4, maxs[-2].max)]
expected = [mock.call(alarm, 'ok', reason, reason_data)
for alarm, reason, reason_data
in zip(self.alarms, reasons, reason_datas)]
self.assertEqual(expected, self.notifier.notify.call_args_list)
# most recent datapoints inside threshold but with
# anomalously low sample count
threshold = self.alarms[0].rule['threshold']
avgs = [self._get_stat('avg',
threshold + (v if v < 10 else -v),
count=20 if v < 10 else 1)
for v in moves.xrange(1, 11)]
threshold = self.alarms[1].rule['threshold']
maxs = [self._get_stat('max',
threshold - (v if v < 7 else -v),
count=20 if v < 7 else 1)
for v in moves.xrange(8)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('alarm' if exclude_outliers else 'ok')
if exclude_outliers:
expected = [mock.call(alarm) for alarm in self.alarms]
update_calls = self.storage_conn.update_alarm.call_args_list
self.assertEqual(expected, update_calls)
reasons = ['Transition to alarm due to 5 samples outside'
' threshold, most recent: %s' % avgs[-2].avg,
'Transition to alarm due to 4 samples outside'
' threshold, most recent: %s' % maxs[-2].max]
reason_datas = [self._reason_data('outside', 5, avgs[-2].avg),
self._reason_data('outside', 4, maxs[-2].max)]
expected = [mock.call(alarm, 'ok', reason, reason_data)
for alarm, reason, reason_data
in zip(self.alarms, reasons, reason_datas)]
self.assertEqual(expected, self.notifier.notify.call_args_list)
def test_simple_alarm_trip_with_outlier_exclusion(self):
self. _do_test_simple_alarm_trip_outlier_exclusion(True)
@ -501,37 +456,35 @@ class TestEvaluate(base.TestEvaluatorBase):
def _do_test_simple_alarm_clear_outlier_exclusion(self, exclude_outliers):
self._set_all_rules('exclude_outliers', exclude_outliers)
self._set_all_alarms('alarm')
with mock.patch('ceilometerclient.client.get_client',
return_value=self.api_client):
# most recent datapoints outside threshold but with
# anomalously low sample count
threshold = self.alarms[0].rule['threshold']
avgs = [self._get_stat('avg',
threshold - (v if v < 9 else -v),
count=20 if v < 9 else 1)
for v in moves.xrange(10)]
threshold = self.alarms[1].rule['threshold']
maxs = [self._get_stat('max',
threshold + (v if v < 8 else -v),
count=20 if v < 8 else 1)
for v in moves.xrange(1, 9)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('ok' if exclude_outliers else 'alarm')
if exclude_outliers:
expected = [mock.call(alarm) for alarm in self.alarms]
update_calls = self.storage_conn.update_alarm.call_args_list
self.assertEqual(expected, update_calls)
reasons = ['Transition to ok due to 5 samples inside'
' threshold, most recent: %s' % avgs[-2].avg,
'Transition to ok due to 4 samples inside'
' threshold, most recent: %s' % maxs[-2].max]
reason_datas = [self._reason_data('inside', 5, avgs[-2].avg),
self._reason_data('inside', 4, maxs[-2].max)]
expected = [mock.call(alarm, 'alarm', reason, reason_data)
for alarm, reason, reason_data
in zip(self.alarms, reasons, reason_datas)]
self.assertEqual(expected, self.notifier.notify.call_args_list)
# most recent datapoints outside threshold but with
# anomalously low sample count
threshold = self.alarms[0].rule['threshold']
avgs = [self._get_stat('avg',
threshold - (v if v < 9 else -v),
count=20 if v < 9 else 1)
for v in moves.xrange(10)]
threshold = self.alarms[1].rule['threshold']
maxs = [self._get_stat('max',
threshold + (v if v < 8 else -v),
count=20 if v < 8 else 1)
for v in moves.xrange(1, 9)]
self.api_client.statistics.list.side_effect = [avgs, maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('ok' if exclude_outliers else 'alarm')
if exclude_outliers:
expected = [mock.call(alarm) for alarm in self.alarms]
update_calls = self.storage_conn.update_alarm.call_args_list
self.assertEqual(expected, update_calls)
reasons = ['Transition to ok due to 5 samples inside'
' threshold, most recent: %s' % avgs[-2].avg,
'Transition to ok due to 4 samples inside'
' threshold, most recent: %s' % maxs[-2].max]
reason_datas = [self._reason_data('inside', 5, avgs[-2].avg),
self._reason_data('inside', 4, maxs[-2].max)]
expected = [mock.call(alarm, 'alarm', reason, reason_data)
for alarm, reason, reason_data
in zip(self.alarms, reasons, reason_datas)]
self.assertEqual(expected, self.notifier.notify.call_args_list)
def test_simple_alarm_clear_with_outlier_exclusion(self):
self. _do_test_simple_alarm_clear_outlier_exclusion(True)
@ -589,13 +542,11 @@ class TestEvaluate(base.TestEvaluatorBase):
dt = datetime.datetime(2014, 1, 1, 15, 0, 0,
tzinfo=pytz.timezone('Europe/Ljubljana'))
mock_utcnow.return_value = dt.astimezone(pytz.UTC)
with mock.patch('ceilometerclient.client.get_client',
return_value=self.api_client):
self.api_client.statistics.list.return_value = []
self._evaluate_all_alarms()
self._assert_all_alarms('ok')
update_calls = self.storage_conn.update_alarm.call_args_list
self.assertEqual([], update_calls,
"Alarm should not change state if the current "
" time is outside its time constraint.")
self.assertEqual([], self.notifier.notify.call_args_list)
self.api_client.statistics.list.return_value = []
self._evaluate_all_alarms()
self._assert_all_alarms('ok')
update_calls = self.storage_conn.update_alarm.call_args_list
self.assertEqual([], update_calls,
"Alarm should not change state if the current "
" time is outside its time constraint.")
self.assertEqual([], self.notifier.notify.call_args_list)