92be54ca53
This changes the test to use AodhGnocchiAggregationByMetricsAlarm and add measures using gnocchi api. Change-Id: I0b2fe154b93d9882b703e95a0b09f139697ceb9a Closes-Bug: #1727637
65 lines
2.7 KiB
Python
65 lines
2.7 KiB
Python
# 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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import datetime
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from heat.common import timeutils
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from oslo_log import log as logging
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from heat_integrationtests.common import test
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from heat_integrationtests.scenario import scenario_base
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LOG = logging.getLogger(__name__)
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class AodhAlarmTest(scenario_base.ScenarioTestsBase):
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"""Class is responsible for testing of aodh usage."""
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def setUp(self):
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super(AodhAlarmTest, self).setUp()
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self.template = self._load_template(__file__,
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'test_aodh_alarm.yaml',
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'templates')
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def check_instance_count(self, stack_identifier, expected):
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stack = self.client.stacks.get(stack_identifier)
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actual = self._stack_output(stack, 'asg_size')
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if actual != expected:
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LOG.warning('check_instance_count exp:%d, act:%s' % (expected,
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actual))
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return actual == expected
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def test_alarm(self):
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"""Confirm we can create an alarm and trigger it."""
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# create metric
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metric = self.metric_client.metric.create({
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'name': 'my_metric',
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'archive_policy_name': 'high',
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})
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# create the stack
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parameters = {'metric_id': metric['id']}
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stack_identifier = self.stack_create(template=self.template,
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parameters=parameters)
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measures = [{'timestamp': timeutils.isotime(datetime.datetime.now()),
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'value': 100}, {'timestamp': timeutils.isotime(
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datetime.datetime.now() + datetime.timedelta(
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minutes=1)), 'value': 100}]
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# send measures(should cause the alarm to fire)
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self.metric_client.metric.add_measures(metric['id'], measures)
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# confirm we get a scaleup.
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# Note: there is little point waiting more than 60s+time to scale up.
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self.assertTrue(test.call_until_true(
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120, 2, self.check_instance_count, stack_identifier, 2))
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# cleanup metric
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self.metric_client.metric.delete(metric['id'])
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