292 lines
14 KiB
Python
292 lines
14 KiB
Python
# -*- encoding: utf-8 -*-
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#
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# Copyright © 2013 Red Hat, Inc
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#
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# Author: Eoghan Glynn <eglynn@redhat.com>
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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 mock
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import uuid
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from ceilometer.alarm.evaluator import threshold
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from ceilometer.openstack.common import timeutils
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from ceilometer.storage import models
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from ceilometer.tests.alarm.evaluator import base
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from ceilometerclient import exc
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from ceilometerclient.v2 import statistics
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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=None,
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timestamp=None,
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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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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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),
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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=None,
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timestamp=None,
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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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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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),
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]
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@staticmethod
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def _get_stat(attr, value):
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return statistics.Statistics(None, {attr: 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 xrange(5)]
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maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] + v)
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for v in xrange(1, 4)]
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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(update_calls, expected)
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expected = [mock.call(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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for alarm in self.alarms]
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self.assertEqual(self.notifier.notify.call_args_list, expected)
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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 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 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(update_calls, expected)
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reasons = ['Transition to alarm due to 5 samples outside'
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' threshold, most recent: 85.0',
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'Transition to alarm due to 4 samples outside'
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' threshold, most recent: 7.0']
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expected = [mock.call(alarm, 'ok', reason)
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for alarm, reason in zip(self.alarms, reasons)]
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self.assertEqual(self.notifier.notify.call_args_list, expected)
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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 xrange(5)]
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maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] + v)
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for v in 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(update_calls, expected)
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reasons = ['Transition to ok due to 5 samples inside'
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' threshold, most recent: 76.0',
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'Transition to ok due to 4 samples inside'
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' threshold, most recent: 14.0']
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expected = [mock.call(alarm, 'alarm', reason)
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for alarm, reason in zip(self.alarms, reasons)]
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self.assertEqual(self.notifier.notify.call_args_list, expected)
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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 xrange(5)]
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maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] - v)
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for v in 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(self.api_client.alarms.set_state.call_args_list,
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[])
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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', self.alarms[0].rule['threshold'] + v)
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for v in xrange(5)]
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maxs = [self._get_stat('max', self.alarms[1].rule['threshold'] - v)
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for v in 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(self.api_client.alarms.set_state.call_args_list,
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[])
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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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expected = [mock.call(self.alarms[1], 'ok', reason)]
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self.assertEqual(self.notifier.notify.call_args_list, expected)
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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', self.alarms[0].rule['threshold'] + v)
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for v in 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 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(self.api_client.alarms.set_state.call_args_list,
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[])
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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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expected = [mock.call(self.alarms[1], 'alarm', reason)]
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self.assertEqual(self.notifier.notify.call_args_list, expected)
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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 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 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(update_calls, expected)
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reasons = ['Transition to alarm due to 5 samples outside'
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' threshold, most recent: 85.0',
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'Transition to alarm due to 4 samples outside'
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' threshold, most recent: 7.0']
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expected = [mock.call(alarm, 'ok', reason)
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for alarm, reason in zip(self.alarms, reasons)]
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self.assertEqual(self.notifier.notify.call_args_list, expected)
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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 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 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(update_calls, expected)
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reasons = ['Transition to alarm due to 5 samples outside'
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' threshold, most recent: 85.0',
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'Transition to alarm due to 4 samples outside'
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' threshold, most recent: 7.0']
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expected = [mock.call(alarm, 'insufficient data', reason)
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for alarm, reason in zip(self.alarms, reasons)]
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self.assertEqual(self.notifier.notify.call_args_list, expected)
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def test_bound_duration(self):
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timeutils.utcnow.override_time = datetime.datetime(2012, 7, 2, 10, 45)
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constraint = self.evaluator._bound_duration(self.alarms[0], [])
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self.assertEqual(constraint, [
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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': '2012-07-02T10:39:00'},
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])
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