80994c1f39
Most of the tests lacked the apache licence boilerplate Change-Id: I34ed0066a6f6751fc872f5286acfc7550319bc8f Signed-off-by: Steven Hardy <shardy@redhat.com>
193 lines
6.6 KiB
Python
193 lines
6.6 KiB
Python
# vim: tabstop=4 shiftwidth=4 softtabstop=4
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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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import datetime
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import mox
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import nose
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from nose.plugins.attrib import attr
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from nose import with_setup
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import unittest
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from nose.exc import SkipTest
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import logging
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from heat.openstack.common import timeutils
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try:
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from heat.engine import watchrule
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except:
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raise SkipTest("unable to import watchrule, skipping")
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logger = logging.getLogger('test_watch')
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class WatchData:
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def __init__(self, data, created_at):
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self.created_at = created_at
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self.data = {'test_metric': {'Value': data,
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'Unit': 'Count'}}
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class WatchRuleTest(unittest.TestCase):
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@attr(tag=['unit', 'watchrule'])
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@attr(speed='fast')
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def test_minimum(self):
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rule = {
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'EvaluationPeriods': '1',
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'MetricName': 'test_metric',
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'Period': '300',
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'Statistic': 'Minimum',
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'ComparisonOperator': 'LessThanOrEqualToThreshold',
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'Threshold': '50'}
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now = timeutils.utcnow()
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last = now - datetime.timedelta(seconds=320)
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data = [WatchData(77, now - datetime.timedelta(seconds=100))]
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data.append(WatchData(53, now - datetime.timedelta(seconds=150)))
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# all > 50 -> NORMAL
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watcher = watchrule.WatchRule(rule, data, last, now)
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new_state = watcher.get_alarm_state()
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logger.info(new_state)
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self.assertEqual(new_state, 'NORMAL')
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data.append(WatchData(25, now - datetime.timedelta(seconds=250)))
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watcher = watchrule.WatchRule(rule, data, last, now)
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new_state = watcher.get_alarm_state()
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logger.info(new_state)
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self.assertEqual(new_state, 'ALARM')
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@attr(tag=['unit', 'watchrule'])
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@attr(speed='fast')
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def test_maximum(self):
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rule = {
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'EvaluationPeriods': '1',
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'MetricName': 'test_metric',
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'Period': '300',
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'Statistic': 'Maximum',
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'ComparisonOperator': 'GreaterThanOrEqualToThreshold',
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'Threshold': '30'}
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now = timeutils.utcnow()
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last = now - datetime.timedelta(seconds=320)
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data = [WatchData(7, now - datetime.timedelta(seconds=100))]
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data.append(WatchData(23, now - datetime.timedelta(seconds=150)))
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# all < 30 -> NORMAL
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watcher = watchrule.WatchRule(rule, data, last, now)
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new_state = watcher.get_alarm_state()
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logger.info(new_state)
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self.assertEqual(new_state, 'NORMAL')
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data.append(WatchData(35, now - datetime.timedelta(seconds=150)))
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watcher = watchrule.WatchRule(rule, data, last, now)
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new_state = watcher.get_alarm_state()
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logger.info(new_state)
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self.assertEqual(new_state, 'ALARM')
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@attr(tag=['unit', 'watchrule'])
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@attr(speed='fast')
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def test_samplecount(self):
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rule = {
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'EvaluationPeriods': '1',
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'MetricName': 'test_metric',
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'Period': '300',
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'Statistic': 'SampleCount',
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'ComparisonOperator': 'GreaterThanOrEqualToThreshold',
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'Threshold': '3'}
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now = timeutils.utcnow()
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last = now - datetime.timedelta(seconds=320)
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data = [WatchData(1, now - datetime.timedelta(seconds=100))]
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data.append(WatchData(1, now - datetime.timedelta(seconds=150)))
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# only 2 samples -> NORMAL
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watcher = watchrule.WatchRule(rule, data, last, now)
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new_state = watcher.get_alarm_state()
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logger.info(new_state)
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self.assertEqual(new_state, 'NORMAL')
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# only 3 samples -> ALARM
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data.append(WatchData(1, now - datetime.timedelta(seconds=200)))
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watcher = watchrule.WatchRule(rule, data, last, now)
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new_state = watcher.get_alarm_state()
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logger.info(new_state)
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self.assertEqual(new_state, 'ALARM')
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# only 3 samples (one old) -> NORMAL
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data.pop(0)
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data.append(WatchData(1, now - datetime.timedelta(seconds=400)))
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watcher = watchrule.WatchRule(rule, data, last, now)
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new_state = watcher.get_alarm_state()
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logger.info(new_state)
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self.assertEqual(new_state, 'NORMAL')
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@attr(tag=['unit', 'watchrule'])
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@attr(speed='fast')
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def test_sum(self):
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rule = {
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'EvaluationPeriods': '1',
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'MetricName': 'test_metric',
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'Period': '300',
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'Statistic': 'Sum',
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'ComparisonOperator': 'GreaterThanOrEqualToThreshold',
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'Threshold': '100'}
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now = timeutils.utcnow()
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last = now - datetime.timedelta(seconds=320)
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data = [WatchData(17, now - datetime.timedelta(seconds=100))]
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data.append(WatchData(23, now - datetime.timedelta(seconds=150)))
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# all < 40 -> NORMAL
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watcher = watchrule.WatchRule(rule, data, last, now)
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new_state = watcher.get_alarm_state()
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logger.info(new_state)
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self.assertEqual(new_state, 'NORMAL')
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# sum > 100 -> ALARM
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data.append(WatchData(85, now - datetime.timedelta(seconds=150)))
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watcher = watchrule.WatchRule(rule, data, last, now)
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new_state = watcher.get_alarm_state()
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logger.info(new_state)
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self.assertEqual(new_state, 'ALARM')
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@attr(tag=['unit', 'watchrule'])
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@attr(speed='fast')
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def test_ave(self):
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rule = {
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'EvaluationPeriods': '1',
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'MetricName': 'test_metric',
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'Period': '300',
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'Statistic': 'Average',
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'ComparisonOperator': 'GreaterThanThreshold',
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'Threshold': '100'}
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now = timeutils.utcnow()
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last = now - datetime.timedelta(seconds=320)
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data = [WatchData(117, now - datetime.timedelta(seconds=100))]
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data.append(WatchData(23, now - datetime.timedelta(seconds=150)))
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watcher = watchrule.WatchRule(rule, data, last, now)
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new_state = watcher.get_alarm_state()
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logger.info(new_state)
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self.assertEqual(new_state, 'NORMAL')
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data.append(WatchData(195, now - datetime.timedelta(seconds=250)))
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watcher = watchrule.WatchRule(rule, data, last, now)
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new_state = watcher.get_alarm_state()
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logger.info(new_state)
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self.assertEqual(new_state, 'ALARM')
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