Source code for ceilometer.tests.unit.alarm.evaluator.test_gnocchi

#
# Copyright 2015 eNovance
#
# 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.

import datetime
import unittest
import uuid

import mock
from oslo_serialization import jsonutils
from oslo_utils import timeutils
from oslotest import mockpatch
import pytz
import six
from six import moves

from ceilometer.alarm.evaluator import gnocchi
from ceilometer.alarm.storage import models
from ceilometer.tests import constants
from ceilometer.tests.unit.alarm.evaluator import base


[docs]class FakeResponse(object): def __init__(self, code, data): if code == 200: self.values = [d[2] for d in data] else: self.values = [] self.text = jsonutils.dumps(data) self.status_code = code
[docs]class TestGnocchiThresholdEvaluate(base.TestEvaluatorBase): EVALUATOR = gnocchi.GnocchiThresholdEvaluator
[docs] def setUp(self): ks_client = mock.Mock(auth_token='fake_token') ks_client.users.find.return_value = 'gnocchi' self.useFixture(mockpatch.Patch( 'keystoneclient.v2_0.client.Client', return_value=ks_client)) super(TestGnocchiThresholdEvaluate, self).setUp() self.useFixture(mockpatch.Patch('ceilometerclient.client.get_client', return_value=self.api_client)) self.requests = self.useFixture(mockpatch.Patch( 'ceilometer.alarm.evaluator.gnocchi.requests')).mock
[docs] def prepare_alarms(self): self.alarms = [ models.Alarm(name='instance_running_hot', description='instance_running_hot', type='gnocchi_resources_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, aggregation_method='mean', granularity=60, metric='cpu_util', resource_type='instance', resource_id='my_instance') ), models.Alarm(name='group_running_idle', description='group_running_idle', type='gnocchi_aggregation_by_metrics_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, aggregation_method='max', granularity=300, metrics=['0bb1604d-1193-4c0a-b4b8-74b170e35e83', '9ddc209f-42f8-41e1-b8f1-8804f59c4053']), ), models.Alarm(name='instance_not_running', description='instance_running_hot', type='gnocchi_aggregation_by_resources_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=6, aggregation_method='mean', granularity=50, metric='cpu_util', resource_type='instance', query='{"=": {"server_group": ' '"my_autoscaling_group"}}') ), ]
@staticmethod def _get_stats(granularity, values): now = timeutils.utcnow_ts() return FakeResponse( 200, [[six.text_type(now - len(values) * granularity), granularity, value] for value in values]) @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
[docs] def test_retry_transient_api_failure(self): means = self._get_stats(60, [self.alarms[0].rule['threshold'] - v for v in moves.xrange(5)]) maxs = self._get_stats(300, [self.alarms[1].rule['threshold'] + v for v in moves.xrange(1, 4)]) avgs2 = self._get_stats(50, [self.alarms[2].rule['threshold'] - v for v in moves.xrange(6)]) self.requests.get.side_effect = [Exception('boom'), FakeResponse(500, "error"), means, maxs] self.requests.post.side_effect = [FakeResponse(500, "error"), avgs2] self._evaluate_all_alarms() self._assert_all_alarms('insufficient data') self._evaluate_all_alarms() self._assert_all_alarms('ok')
[docs] def test_simple_insufficient(self): self._set_all_alarms('ok') self.requests.get.return_value = FakeResponse(200, []) self.requests.post.return_value = FakeResponse(200, []) 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) 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')
[docs] def test_simple_alarm_trip(self, utcnow): utcnow.return_value = datetime.datetime(2015, 1, 26, 12, 57, 0, 0) self._set_all_alarms('ok') avgs = self._get_stats(60, [self.alarms[0].rule['threshold'] + v for v in moves.xrange(1, 6)]) maxs = self._get_stats(300, [self.alarms[1].rule['threshold'] - v for v in moves.xrange(4)]) avgs2 = self._get_stats(50, [self.alarms[2].rule['threshold'] + v for v in moves.xrange(1, 7)]) self.requests.get.side_effect = [avgs, maxs] self.requests.post.side_effect = [avgs2] self._evaluate_all_alarms() expected_headers = {'X-Auth-Token': 'fake_token', 'Content-Type': 'application/json'} start_alarm1 = "2015-01-26T12:51:00" start_alarm2 = "2015-01-26T12:32:00" start_alarm3 = "2015-01-26T12:51:10" end = "2015-01-26T12:57:00" self.assertEqual([ mock.call(url='http://localhost:8041/v1/resource/instance/' 'my_instance/metric/cpu_util/measures', params={'aggregation': 'mean', 'start': start_alarm1, 'end': end}, headers=expected_headers), mock.call(url='http://localhost:8041/v1/aggregation/metric', params={'aggregation': 'max', 'start': start_alarm2, 'end': end, 'metric': [ '0bb1604d-1193-4c0a-b4b8-74b170e35e83', '9ddc209f-42f8-41e1-b8f1-8804f59c4053']}, headers=expected_headers)], self.requests.get.mock_calls) self.assertEqual([ mock.call(url='http://localhost:8041/v1/aggregation/resource/' 'instance/metric/cpu_util', params={'aggregation': 'mean', 'start': start_alarm3, 'end': end}, data='{"=": {"server_group": "my_autoscaling_group"}}', headers=expected_headers), ], self.requests.post.mock_calls) self._assert_all_alarms('alarm') expected = [mock.call(alarm.alarm_id, state='alarm') for alarm in self.alarms] update_calls = self.api_client.alarms.set_state.call_args_list self.assertEqual(expected, update_calls) reasons = ['Transition to alarm due to 5 samples outside' ' threshold, most recent: %s' % avgs.values[-1], 'Transition to alarm due to 4 samples outside' ' threshold, most recent: %s' % maxs.values[-1], 'Transition to alarm due to 6 samples outside' ' threshold, most recent: %s' % avgs2.values[-1], ] reason_datas = [self._reason_data('outside', 5, avgs.values[-1]), self._reason_data('outside', 4, maxs.values[-1]), self._reason_data('outside', 6, avgs2.values[-1])] 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)
[docs] def test_simple_alarm_clear(self): self._set_all_alarms('alarm') avgs = self._get_stats(60, [self.alarms[0].rule['threshold'] - v for v in moves.xrange(5)]) maxs = self._get_stats(300, [self.alarms[1].rule['threshold'] + v for v in moves.xrange(1, 5)]) avgs2 = self._get_stats(50, [self.alarms[2].rule['threshold'] - v for v in moves.xrange(6)]) self.requests.post.side_effect = [avgs2] self.requests.get.side_effect = [avgs, maxs] self._evaluate_all_alarms() self._assert_all_alarms('ok') 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.values[-1], 'Transition to ok due to 4 samples inside' ' threshold, most recent: %s' % maxs.values[-1], 'Transition to ok due to 6 samples inside' ' threshold, most recent: %s' % avgs2.values[-1]] reason_datas = [self._reason_data('inside', 5, avgs.values[-1]), self._reason_data('inside', 4, maxs.values[-1]), self._reason_data('inside', 6, avgs2.values[-1])] 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)
[docs] def test_equivocal_from_known_state(self): self._set_all_alarms('ok') avgs = self._get_stats(60, [self.alarms[0].rule['threshold'] + v for v in moves.xrange(5)]) maxs = self._get_stats(300, [self.alarms[1].rule['threshold'] - v for v in moves.xrange(-1, 3)]) avgs2 = self._get_stats(50, [self.alarms[2].rule['threshold'] + v for v in moves.xrange(6)]) self.requests.post.side_effect = [avgs2] self.requests.get.side_effect = [avgs, maxs] self._evaluate_all_alarms() self._assert_all_alarms('ok') self.assertEqual( [], self.api_client.alarms.set_state.call_args_list) self.assertEqual([], self.notifier.notify.call_args_list)
[docs] def test_equivocal_from_known_state_and_repeat_actions(self): self._set_all_alarms('ok') self.alarms[1].repeat_actions = True avgs = self._get_stats(60, [self.alarms[0].rule['threshold'] + v for v in moves.xrange(5)]) maxs = self._get_stats(300, [self.alarms[1].rule['threshold'] - v for v in moves.xrange(-1, 3)]) avgs2 = self._get_stats(50, [self.alarms[2].rule['threshold'] + v for v in moves.xrange(6)]) self.requests.post.side_effect = [avgs2] self.requests.get.side_effect = [avgs, maxs] self._evaluate_all_alarms() self._assert_all_alarms('ok') self.assertEqual([], self.api_client.alarms.set_state.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)
[docs] def test_unequivocal_from_known_state_and_repeat_actions(self): self._set_all_alarms('alarm') self.alarms[1].repeat_actions = True avgs = self._get_stats(60, [self.alarms[0].rule['threshold'] + v for v in moves.xrange(1, 6)]) maxs = self._get_stats(300, [self.alarms[1].rule['threshold'] - v for v in moves.xrange(4)]) avgs2 = self._get_stats(50, [self.alarms[2].rule['threshold'] + v for v in moves.xrange(6)]) self.requests.post.side_effect = [avgs2] self.requests.get.side_effect = [avgs, maxs] self._evaluate_all_alarms() self._assert_all_alarms('alarm') self.assertEqual([], self.api_client.alarms.set_state.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)
[docs] 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_stats(60, [self.alarms[0].rule['threshold'] + v for v in moves.xrange(1, 6)]) maxs = self._get_stats(300, [self.alarms[1].rule['threshold'] - v for v in moves.xrange(4)]) avgs2 = self._get_stats(50, [self.alarms[2].rule['threshold'] + v for v in moves.xrange(1, 7)]) self.requests.post.side_effect = [avgs2] self.requests.get.side_effect = [avgs, maxs] self._evaluate_all_alarms() self._assert_all_alarms('alarm') expected = [mock.call(alarm.alarm_id, state='alarm') for alarm in self.alarms] update_calls = self.api_client.alarms.set_state.call_args_list self.assertEqual(expected, update_calls) reasons = ['Transition to alarm due to 5 samples outside' ' threshold, most recent: %s' % avgs.values[-1], 'Transition to alarm due to 4 samples outside' ' threshold, most recent: %s' % maxs.values[-1], 'Transition to alarm due to 6 samples outside' ' threshold, most recent: %s' % avgs2.values[-1]] reason_datas = [self._reason_data('outside', 5, avgs.values[-1]), self._reason_data('outside', 4, maxs.values[-1]), self._reason_data('outside', 6, avgs2.values[-1])] 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)
[docs] def test_equivocal_from_unknown(self): self._set_all_alarms('insufficient data') avgs = self._get_stats(60, [self.alarms[0].rule['threshold'] + v for v in moves.xrange(1, 6)]) maxs = self._get_stats(300, [self.alarms[1].rule['threshold'] - v for v in moves.xrange(4)]) avgs2 = self._get_stats(50, [self.alarms[2].rule['threshold'] + v for v in moves.xrange(1, 7)]) self.requests.post.side_effect = [avgs2] self.requests.get.side_effect = [avgs, maxs] self._evaluate_all_alarms() self._assert_all_alarms('alarm') expected = [mock.call(alarm.alarm_id, state='alarm') for alarm in self.alarms] update_calls = self.api_client.alarms.set_state.call_args_list self.assertEqual(expected, update_calls) reasons = ['Transition to alarm due to 5 samples outside' ' threshold, most recent: %s' % avgs.values[-1], 'Transition to alarm due to 4 samples outside' ' threshold, most recent: %s' % maxs.values[-1], 'Transition to alarm due to 6 samples outside' ' threshold, most recent: %s' % avgs2.values[-1]] reason_datas = [self._reason_data('outside', 5, avgs.values[-1]), self._reason_data('outside', 4, maxs.values[-1]), self._reason_data('outside', 6, avgs2.values[-1])] 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)
@unittest.skipIf(six.PY3, "the ceilometer base class is not python 3 ready") @mock.patch.object(timeutils, 'utcnow')
[docs] 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 self.alarms[2].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.requests.get.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)