541 lines
27 KiB
Python
541 lines
27 KiB
Python
#
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# Copyright 2013 Red Hat, Inc
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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"""Tests for ceilometer/alarm/evaluator/threshold.py
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"""
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import datetime
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import uuid
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from ceilometerclient import exc
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from ceilometerclient.v2 import statistics
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import mock
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from oslo_config import cfg
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from oslo_utils import timeutils
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import pytz
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from six import moves
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from ceilometer.alarm.evaluator import threshold
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from ceilometer.alarm.storage import models
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from ceilometer.tests import constants
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from ceilometer.tests.unit.alarm.evaluator import base
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class TestEvaluate(base.TestEvaluatorBase):
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EVALUATOR = threshold.ThresholdEvaluator
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def prepare_alarms(self):
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self.alarms = [
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models.Alarm(name='instance_running_hot',
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description='instance_running_hot',
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type='threshold',
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enabled=True,
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user_id='foobar',
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project_id='snafu',
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alarm_id=str(uuid.uuid4()),
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state='insufficient data',
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state_timestamp=constants.MIN_DATETIME,
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timestamp=constants.MIN_DATETIME,
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insufficient_data_actions=[],
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ok_actions=[],
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alarm_actions=[],
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repeat_actions=False,
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time_constraints=[],
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rule=dict(
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comparison_operator='gt',
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threshold=80.0,
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evaluation_periods=5,
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statistic='avg',
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period=60,
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meter_name='cpu_util',
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query=[{'field': 'meter',
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'op': 'eq',
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'value': 'cpu_util'},
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{'field': 'resource_id',
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'op': 'eq',
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'value': 'my_instance'}]),
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severity='critical'
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),
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models.Alarm(name='group_running_idle',
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description='group_running_idle',
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type='threshold',
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enabled=True,
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user_id='foobar',
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project_id='snafu',
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state='insufficient data',
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state_timestamp=constants.MIN_DATETIME,
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timestamp=constants.MIN_DATETIME,
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insufficient_data_actions=[],
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ok_actions=[],
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alarm_actions=[],
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repeat_actions=False,
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alarm_id=str(uuid.uuid4()),
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time_constraints=[],
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rule=dict(
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comparison_operator='le',
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threshold=10.0,
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evaluation_periods=4,
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statistic='max',
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period=300,
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meter_name='cpu_util',
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query=[{'field': 'meter',
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'op': 'eq',
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'value': 'cpu_util'},
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{'field': 'metadata.user_metadata.AS',
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'op': 'eq',
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'value': 'my_group'}]),
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severity='critical'
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),
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]
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@staticmethod
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def _get_stat(attr, value, count=1):
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return statistics.Statistics(None, {attr: value, 'count': count})
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@staticmethod
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def _reason_data(disposition, count, most_recent):
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return {'type': 'threshold', 'disposition': disposition,
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'count': count, 'most_recent': most_recent}
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def _set_all_rules(self, field, value):
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for alarm in self.alarms:
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alarm.rule[field] = value
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def test_retry_transient_api_failure(self):
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with mock.patch('ceilometerclient.client.get_client',
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return_value=self.api_client):
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broken = exc.CommunicationError(message='broken')
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avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] - v)
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for v in moves.xrange(5)]
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maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] + v)
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for v in moves.xrange(1, 5)]
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self.api_client.statistics.list.side_effect = [broken,
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broken,
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avgs,
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maxs]
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self._evaluate_all_alarms()
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self._assert_all_alarms('insufficient data')
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self._evaluate_all_alarms()
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self._assert_all_alarms('ok')
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def test_simple_insufficient(self):
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self._set_all_alarms('ok')
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with mock.patch('ceilometerclient.client.get_client',
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return_value=self.api_client):
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self.api_client.statistics.list.return_value = []
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self._evaluate_all_alarms()
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self._assert_all_alarms('insufficient data')
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expected = [mock.call(alarm.alarm_id, state='insufficient data')
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for alarm in self.alarms]
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update_calls = self.api_client.alarms.set_state.call_args_list
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self.assertEqual(expected, update_calls)
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expected = [mock.call(
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alarm,
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'ok',
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('%d datapoints are unknown'
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% alarm.rule['evaluation_periods']),
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self._reason_data('unknown',
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alarm.rule['evaluation_periods'],
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None))
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for alarm in self.alarms]
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self.assertEqual(expected, self.notifier.notify.call_args_list)
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def test_less_insufficient_data(self):
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self._set_all_alarms('ok')
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with mock.patch('ceilometerclient.client.get_client',
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return_value=self.api_client):
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avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] - v)
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for v in moves.xrange(4)]
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maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] - v)
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for v in moves.xrange(1, 4)]
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self.api_client.statistics.list.side_effect = [avgs, maxs]
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self._evaluate_all_alarms()
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self._assert_all_alarms('insufficient data')
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expected = [mock.call(alarm.alarm_id, state='insufficient data')
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for alarm in self.alarms]
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update_calls = self.api_client.alarms.set_state.call_args_list
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self.assertEqual(update_calls, expected)
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expected = [mock.call(
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alarm,
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'ok',
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('%d datapoints are unknown'
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% alarm.rule['evaluation_periods']),
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self._reason_data('unknown',
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alarm.rule['evaluation_periods'],
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alarm.rule['threshold'] - 3))
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for alarm in self.alarms]
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self.assertEqual(expected, self.notifier.notify.call_args_list)
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def test_simple_alarm_trip(self):
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self._set_all_alarms('ok')
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with mock.patch('ceilometerclient.client.get_client',
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return_value=self.api_client):
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avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] + v)
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for v in moves.xrange(1, 6)]
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maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] - v)
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for v in moves.xrange(4)]
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self.api_client.statistics.list.side_effect = [avgs, maxs]
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self._evaluate_all_alarms()
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self._assert_all_alarms('alarm')
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expected = [mock.call(alarm.alarm_id, state='alarm')
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for alarm in self.alarms]
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update_calls = self.api_client.alarms.set_state.call_args_list
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self.assertEqual(expected, update_calls)
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reasons = ['Transition to alarm due to 5 samples outside'
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' threshold, most recent: %s' % avgs[-1].avg,
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'Transition to alarm due to 4 samples outside'
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' threshold, most recent: %s' % maxs[-1].max]
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reason_datas = [self._reason_data('outside', 5, avgs[-1].avg),
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self._reason_data('outside', 4, maxs[-1].max)]
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expected = [mock.call(alarm, 'ok', reason, reason_data)
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for alarm, reason, reason_data
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in zip(self.alarms, reasons, reason_datas)]
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self.assertEqual(expected, self.notifier.notify.call_args_list)
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def test_simple_alarm_clear(self):
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self._set_all_alarms('alarm')
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with mock.patch('ceilometerclient.client.get_client',
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return_value=self.api_client):
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avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] - v)
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for v in moves.xrange(5)]
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maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] + v)
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for v in moves.xrange(1, 5)]
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self.api_client.statistics.list.side_effect = [avgs, maxs]
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self._evaluate_all_alarms()
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self._assert_all_alarms('ok')
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expected = [mock.call(alarm.alarm_id, state='ok')
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for alarm in self.alarms]
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update_calls = self.api_client.alarms.set_state.call_args_list
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self.assertEqual(expected, update_calls)
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reasons = ['Transition to ok due to 5 samples inside'
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' threshold, most recent: %s' % avgs[-1].avg,
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'Transition to ok due to 4 samples inside'
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' threshold, most recent: %s' % maxs[-1].max]
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reason_datas = [self._reason_data('inside', 5, avgs[-1].avg),
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self._reason_data('inside', 4, maxs[-1].max)]
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expected = [mock.call(alarm, 'alarm', reason, reason_data)
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for alarm, reason, reason_data
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in zip(self.alarms, reasons, reason_datas)]
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self.assertEqual(expected, self.notifier.notify.call_args_list)
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def test_equivocal_from_known_state(self):
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self._set_all_alarms('ok')
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with mock.patch('ceilometerclient.client.get_client',
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return_value=self.api_client):
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avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] + v)
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for v in moves.xrange(5)]
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maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] - v)
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for v in moves.xrange(-1, 3)]
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self.api_client.statistics.list.side_effect = [avgs, maxs]
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self._evaluate_all_alarms()
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self._assert_all_alarms('ok')
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self.assertEqual(
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[],
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self.api_client.alarms.set_state.call_args_list)
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self.assertEqual([], self.notifier.notify.call_args_list)
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def test_equivocal_from_known_state_and_repeat_actions(self):
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self._set_all_alarms('ok')
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self.alarms[1].repeat_actions = True
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with mock.patch('ceilometerclient.client.get_client',
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return_value=self.api_client):
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avgs = [self._get_stat('avg',
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self.alarms[0].rule['threshold'] + v)
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for v in moves.xrange(5)]
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maxs = [self._get_stat('max',
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self.alarms[1].rule['threshold'] - v)
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for v in moves.xrange(-1, 3)]
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self.api_client.statistics.list.side_effect = [avgs, maxs]
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self._evaluate_all_alarms()
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self._assert_all_alarms('ok')
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self.assertEqual([],
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self.api_client.alarms.set_state.call_args_list)
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reason = ('Remaining as ok due to 4 samples inside'
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' threshold, most recent: 8.0')
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reason_datas = self._reason_data('inside', 4, 8.0)
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expected = [mock.call(self.alarms[1], 'ok', reason, reason_datas)]
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self.assertEqual(expected, self.notifier.notify.call_args_list)
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def test_unequivocal_from_known_state_and_repeat_actions(self):
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self._set_all_alarms('alarm')
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self.alarms[1].repeat_actions = True
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with mock.patch('ceilometerclient.client.get_client',
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return_value=self.api_client):
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avgs = [self._get_stat('avg',
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self.alarms[0].rule['threshold'] + v)
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for v in moves.xrange(1, 6)]
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maxs = [self._get_stat('max',
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self.alarms[1].rule['threshold'] - v)
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for v in moves.xrange(4)]
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self.api_client.statistics.list.side_effect = [avgs, maxs]
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self._evaluate_all_alarms()
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self._assert_all_alarms('alarm')
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self.assertEqual([],
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self.api_client.alarms.set_state.call_args_list)
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reason = ('Remaining as alarm due to 4 samples outside'
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' threshold, most recent: 7.0')
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reason_datas = self._reason_data('outside', 4, 7.0)
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expected = [mock.call(self.alarms[1], 'alarm',
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reason, reason_datas)]
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self.assertEqual(expected, self.notifier.notify.call_args_list)
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def test_state_change_and_repeat_actions(self):
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self._set_all_alarms('ok')
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self.alarms[0].repeat_actions = True
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self.alarms[1].repeat_actions = True
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with mock.patch('ceilometerclient.client.get_client',
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return_value=self.api_client):
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avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] + v)
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for v in moves.xrange(1, 6)]
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maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] - v)
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for v in moves.xrange(4)]
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self.api_client.statistics.list.side_effect = [avgs, maxs]
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self._evaluate_all_alarms()
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self._assert_all_alarms('alarm')
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expected = [mock.call(alarm.alarm_id, state='alarm')
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for alarm in self.alarms]
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update_calls = self.api_client.alarms.set_state.call_args_list
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self.assertEqual(expected, update_calls)
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reasons = ['Transition to alarm due to 5 samples outside'
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' threshold, most recent: %s' % avgs[-1].avg,
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'Transition to alarm due to 4 samples outside'
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' threshold, most recent: %s' % maxs[-1].max]
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reason_datas = [self._reason_data('outside', 5, avgs[-1].avg),
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self._reason_data('outside', 4, maxs[-1].max)]
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expected = [mock.call(alarm, 'ok', reason, reason_data)
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for alarm, reason, reason_data
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in zip(self.alarms, reasons, reason_datas)]
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self.assertEqual(expected, self.notifier.notify.call_args_list)
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def test_equivocal_from_unknown(self):
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self._set_all_alarms('insufficient data')
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with mock.patch('ceilometerclient.client.get_client',
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return_value=self.api_client):
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avgs = [self._get_stat('avg', self.alarms[0].rule['threshold'] + v)
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for v in moves.xrange(1, 6)]
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maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] - v)
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for v in moves.xrange(4)]
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self.api_client.statistics.list.side_effect = [avgs, maxs]
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self._evaluate_all_alarms()
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self._assert_all_alarms('alarm')
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expected = [mock.call(alarm.alarm_id, state='alarm')
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for alarm in self.alarms]
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update_calls = self.api_client.alarms.set_state.call_args_list
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self.assertEqual(expected, update_calls)
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reasons = ['Transition to alarm due to 5 samples outside'
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' threshold, most recent: %s' % avgs[-1].avg,
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'Transition to alarm due to 4 samples outside'
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' threshold, most recent: %s' % maxs[-1].max]
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reason_datas = [self._reason_data('outside', 5, avgs[-1].avg),
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self._reason_data('outside', 4, maxs[-1].max)]
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expected = [mock.call(alarm, 'insufficient data',
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reason, reason_data)
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for alarm, reason, reason_data
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in zip(self.alarms, reasons, reason_datas)]
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self.assertEqual(expected, self.notifier.notify.call_args_list)
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def _do_test_bound_duration(self, start, exclude_outliers=None):
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alarm = self.alarms[0]
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if exclude_outliers is not None:
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alarm.rule['exclude_outliers'] = exclude_outliers
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with mock.patch.object(timeutils, 'utcnow') as mock_utcnow:
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mock_utcnow.return_value = datetime.datetime(2012, 7, 2, 10, 45)
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constraint = self.evaluator._bound_duration(alarm, [])
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self.assertEqual([
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{'field': 'timestamp',
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'op': 'le',
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'value': timeutils.utcnow().isoformat()},
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{'field': 'timestamp',
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'op': 'ge',
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'value': start},
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], constraint)
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def test_bound_duration_outlier_exclusion_defaulted(self):
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self._do_test_bound_duration('2012-07-02T10:39:00')
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def test_bound_duration_outlier_exclusion_clear(self):
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self._do_test_bound_duration('2012-07-02T10:39:00', False)
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def test_bound_duration_outlier_exclusion_set(self):
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self._do_test_bound_duration('2012-07-02T10:35:00', True)
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def test_threshold_endpoint_types(self):
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endpoint_types = ["internalURL", "publicURL"]
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for endpoint_type in endpoint_types:
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cfg.CONF.set_override('os_endpoint_type',
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endpoint_type,
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group='service_credentials')
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with mock.patch('ceilometerclient.client.get_client') as client:
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self.evaluator.api_client = None
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self._evaluate_all_alarms()
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conf = cfg.CONF.service_credentials
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expected = [mock.call(2,
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os_auth_url=conf.os_auth_url,
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os_region_name=conf.os_region_name,
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os_tenant_name=conf.os_tenant_name,
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os_password=conf.os_password,
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os_username=conf.os_username,
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os_cacert=conf.os_cacert,
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os_endpoint_type=conf.os_endpoint_type,
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timeout=cfg.CONF.http_timeout,
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insecure=conf.insecure)]
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actual = client.call_args_list
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self.assertEqual(expected, actual)
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def _do_test_simple_alarm_trip_outlier_exclusion(self, exclude_outliers):
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self._set_all_rules('exclude_outliers', exclude_outliers)
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self._set_all_alarms('ok')
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with mock.patch('ceilometerclient.client.get_client',
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return_value=self.api_client):
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# most recent datapoints inside threshold but with
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# anomalously low sample count
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threshold = self.alarms[0].rule['threshold']
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avgs = [self._get_stat('avg',
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threshold + (v if v < 10 else -v),
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count=20 if v < 10 else 1)
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for v in moves.xrange(1, 11)]
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threshold = self.alarms[1].rule['threshold']
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maxs = [self._get_stat('max',
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threshold - (v if v < 7 else -v),
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count=20 if v < 7 else 1)
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for v in moves.xrange(8)]
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self.api_client.statistics.list.side_effect = [avgs, maxs]
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self._evaluate_all_alarms()
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self._assert_all_alarms('alarm' if exclude_outliers else 'ok')
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if exclude_outliers:
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expected = [mock.call(alarm.alarm_id, state='alarm')
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for alarm in self.alarms]
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update_calls = self.api_client.alarms.set_state.call_args_list
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self.assertEqual(expected, update_calls)
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reasons = ['Transition to alarm due to 5 samples outside'
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' threshold, most recent: %s' % avgs[-2].avg,
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'Transition to alarm due to 4 samples outside'
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' 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')
|
|
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.alarm_id, state='ok')
|
|
for alarm in self.alarms]
|
|
update_calls = self.api_client.alarms.set_state.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.alarm_id,
|
|
state='insufficient data')
|
|
for alarm in self.alarms]
|
|
update_calls = self.api_client.alarms.set_state.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)
|
|
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.api_client.alarms.set_state.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)
|