3c08a6e586
The RequestContextSerializer of oslo.messaging has been deprecated, and actually we don't need it. Let's drop it and remove the oslo.context usage in most use cases. Change-Id: Ib70062d314f88b10880ae32f2831c88cb2cfe402
548 lines
26 KiB
Python
548 lines
26 KiB
Python
#
|
|
# Copyright 2013 Red Hat, Inc
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License"); you may
|
|
# not use this file except in compliance with the License. You may obtain
|
|
# a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
|
|
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
|
|
# License for the specific language governing permissions and limitations
|
|
# under the License.
|
|
"""Tests for aodh/evaluator/threshold.py
|
|
"""
|
|
import copy
|
|
import datetime
|
|
import json
|
|
import uuid
|
|
|
|
from ceilometerclient import exc
|
|
from ceilometerclient.v2 import statistics
|
|
import mock
|
|
from oslo_utils import timeutils
|
|
import pytz
|
|
from six import moves
|
|
|
|
from aodh.evaluator import threshold
|
|
from aodh import messaging
|
|
from aodh.storage import models
|
|
from aodh.tests import constants
|
|
from aodh.tests.unit.evaluator import base
|
|
|
|
|
|
class TestEvaluate(base.TestEvaluatorBase):
|
|
EVALUATOR = threshold.ThresholdEvaluator
|
|
|
|
def prepare_alarms(self):
|
|
self.alarms = [
|
|
models.Alarm(name='instance_running_hot',
|
|
description='instance_running_hot',
|
|
type='threshold',
|
|
enabled=True,
|
|
user_id='foobar',
|
|
project_id='snafu',
|
|
alarm_id=str(uuid.uuid4()),
|
|
state='insufficient data',
|
|
state_timestamp=constants.MIN_DATETIME,
|
|
timestamp=constants.MIN_DATETIME,
|
|
insufficient_data_actions=[],
|
|
ok_actions=[],
|
|
alarm_actions=[],
|
|
repeat_actions=False,
|
|
time_constraints=[],
|
|
rule=dict(
|
|
comparison_operator='gt',
|
|
threshold=80.0,
|
|
evaluation_periods=5,
|
|
statistic='avg',
|
|
period=60,
|
|
meter_name='cpu_util',
|
|
query=[{'field': 'meter',
|
|
'op': 'eq',
|
|
'value': 'cpu_util'},
|
|
{'field': 'resource_id',
|
|
'op': 'eq',
|
|
'value': 'my_instance'}]),
|
|
severity='critical'
|
|
),
|
|
models.Alarm(name='group_running_idle',
|
|
description='group_running_idle',
|
|
type='threshold',
|
|
enabled=True,
|
|
user_id='foobar',
|
|
project_id='snafu',
|
|
state='insufficient data',
|
|
state_timestamp=constants.MIN_DATETIME,
|
|
timestamp=constants.MIN_DATETIME,
|
|
insufficient_data_actions=[],
|
|
ok_actions=[],
|
|
alarm_actions=[],
|
|
repeat_actions=False,
|
|
alarm_id=str(uuid.uuid4()),
|
|
time_constraints=[],
|
|
rule=dict(
|
|
comparison_operator='le',
|
|
threshold=10.0,
|
|
evaluation_periods=4,
|
|
statistic='max',
|
|
period=300,
|
|
meter_name='cpu_util',
|
|
query=[{'field': 'meter',
|
|
'op': 'eq',
|
|
'value': 'cpu_util'},
|
|
{'field': 'metadata.user_metadata.AS',
|
|
'op': 'eq',
|
|
'value': 'my_group'}]),
|
|
severity='critical'
|
|
),
|
|
]
|
|
|
|
@staticmethod
|
|
def _get_stat(attr, value, count=1):
|
|
return statistics.Statistics(None, {attr: value, 'count': count})
|
|
|
|
@staticmethod
|
|
def _reason_data(disposition, count, most_recent):
|
|
return {'type': 'threshold', 'disposition': disposition,
|
|
'count': count, 'most_recent': most_recent}
|
|
|
|
def _set_all_rules(self, field, value):
|
|
for alarm in self.alarms:
|
|
alarm.rule[field] = value
|
|
|
|
def test_retry_transient_api_failure(self):
|
|
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')
|
|
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')
|
|
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')
|
|
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')
|
|
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 = []
|
|
for alarm in self.alarms:
|
|
type = models.AlarmChange.STATE_TRANSITION
|
|
detail = json.dumps({'state': alarm.state})
|
|
on_behalf_of = alarm.project_id
|
|
payload = dict(
|
|
event_id='fake_event_id_%s' % self.alarms.index(alarm),
|
|
alarm_id=alarm.alarm_id,
|
|
type=type,
|
|
detail=detail,
|
|
user_id='fake_user_id',
|
|
project_id='fake_project_id',
|
|
on_behalf_of=on_behalf_of,
|
|
timestamp=datetime.datetime(2015, 7, 26, 3, 33, 21, 876795))
|
|
payloads.append(payload)
|
|
return payloads
|
|
|
|
@mock.patch.object(uuid, 'uuid4')
|
|
@mock.patch.object(timeutils, 'utcnow')
|
|
@mock.patch.object(messaging, 'get_notifier')
|
|
def test_alarm_change_record(self, get_notifier, utcnow, mock_uuid):
|
|
# the context.RequestContext() method need to generate uuid,
|
|
# so we need to provide 'fake_uuid_0' and 'fake_uuid_1' for that.
|
|
mock_uuid.side_effect = ['fake_event_id_0', 'fake_event_id_1']
|
|
change_notifier = mock.MagicMock()
|
|
get_notifier.return_value = change_notifier
|
|
utcnow.return_value = datetime.datetime(2015, 7, 26, 3, 33, 21, 876795)
|
|
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)
|
|
payloads = self._construct_payloads()
|
|
expected_payloads = [mock.call(p) for p in payloads]
|
|
change_records = \
|
|
self.storage_conn.record_alarm_change.call_args_list
|
|
self.assertEqual(expected_payloads, change_records)
|
|
notify_calls = change_notifier.info.call_args_list
|
|
notification = "alarm.state_transition"
|
|
expected_payloads = [mock.call(mock.ANY, notification, p)
|
|
for p in payloads]
|
|
self.assertEqual(expected_payloads, notify_calls)
|
|
|
|
def test_equivocal_from_known_state(self):
|
|
self._set_all_alarms('ok')
|
|
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
|
|
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
|
|
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
|
|
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')
|
|
original_alarms = copy.deepcopy(self.alarms)
|
|
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')
|
|
primitive_alarms = [a.as_dict() for a in self.alarms]
|
|
for alarm in original_alarms:
|
|
alarm.state = 'alarm'
|
|
primitive_original_alarms = [a.as_dict() for a in original_alarms]
|
|
self.assertEqual(primitive_original_alarms, primitive_alarms)
|
|
|
|
def test_equivocal_from_unknown(self):
|
|
self._set_all_alarms('insufficient data')
|
|
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]
|
|
if exclude_outliers is not None:
|
|
alarm.rule['exclude_outliers'] = exclude_outliers
|
|
with mock.patch.object(timeutils, 'utcnow') as mock_utcnow:
|
|
mock_utcnow.return_value = datetime.datetime(2012, 7, 2, 10, 45)
|
|
constraint = self.evaluator._bound_duration(alarm)
|
|
self.assertEqual((start, timeutils.utcnow().isoformat()),
|
|
constraint)
|
|
|
|
def test_bound_duration_outlier_exclusion_defaulted(self):
|
|
self._do_test_bound_duration('2012-07-02T10:39:00')
|
|
|
|
def test_bound_duration_outlier_exclusion_clear(self):
|
|
self._do_test_bound_duration('2012-07-02T10:39:00', False)
|
|
|
|
def test_bound_duration_outlier_exclusion_set(self):
|
|
self._do_test_bound_duration('2012-07-02T10:35:00', True)
|
|
|
|
def _do_test_simple_alarm_trip_outlier_exclusion(self, exclude_outliers):
|
|
self._set_all_rules('exclude_outliers', exclude_outliers)
|
|
self._set_all_alarms('ok')
|
|
# 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)
|
|
|
|
def test_simple_alarm_no_trip_without_outlier_exclusion(self):
|
|
self. _do_test_simple_alarm_trip_outlier_exclusion(False)
|
|
|
|
def _do_test_simple_alarm_clear_outlier_exclusion(self, exclude_outliers):
|
|
self._set_all_rules('exclude_outliers', exclude_outliers)
|
|
self._set_all_alarms('alarm')
|
|
# 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)
|
|
|
|
def test_simple_alarm_no_clear_without_outlier_exclusion(self):
|
|
self. _do_test_simple_alarm_clear_outlier_exclusion(False)
|
|
|
|
@mock.patch.object(timeutils, 'utcnow')
|
|
def test_state_change_inside_time_constraint(self, mock_utcnow):
|
|
self._set_all_alarms('ok')
|
|
self.alarms[0].time_constraints = [
|
|
{'name': 'test',
|
|
'description': 'test',
|
|
'start': '0 11 * * *', # daily at 11:00
|
|
'duration': 10800, # 3 hours
|
|
'timezone': 'Europe/Ljubljana'}
|
|
]
|
|
self.alarms[1].time_constraints = self.alarms[0].time_constraints
|
|
dt = datetime.datetime(2014, 1, 1, 12, 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):
|
|
# the following part based on test_simple_insufficient
|
|
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,
|
|
"Alarm should change state if the current "
|
|
"time is inside its time constraint.")
|
|
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)
|
|
|
|
@mock.patch.object(timeutils, 'utcnow')
|
|
def test_no_state_change_outside_time_constraint(self, mock_utcnow):
|
|
self._set_all_alarms('ok')
|
|
self.alarms[0].time_constraints = [
|
|
{'name': 'test',
|
|
'description': 'test',
|
|
'start': '0 11 * * *', # daily at 11:00
|
|
'duration': 10800, # 3 hours
|
|
'timezone': 'Europe/Ljubljana'}
|
|
]
|
|
self.alarms[1].time_constraints = self.alarms[0].time_constraints
|
|
dt = datetime.datetime(2014, 1, 1, 15, 0, 0,
|
|
tzinfo=pytz.timezone('Europe/Ljubljana'))
|
|
mock_utcnow.return_value = dt.astimezone(pytz.UTC)
|
|
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)
|