643 lines
26 KiB
Python
643 lines
26 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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from nose.plugins.attrib import attr
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import unittest
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from heat.common import context
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import heat.db.api as db_api
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from heat.openstack.common import timeutils
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from heat.engine import watchrule
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from heat.engine import parser
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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 DummyAction:
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alarm = "DummyAction"
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@attr(tag=['unit', 'watchrule'])
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@attr(speed='fast')
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class WatchRuleTest(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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# Create a dummy stack in the DB as WatchRule instances
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# must be associated with a stack
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ctx = context.get_admin_context()
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ctx.username = 'dummyuser'
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ctx.tenant_id = '123456'
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empty_tmpl = {"template": {}}
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tmpl = parser.Template(empty_tmpl)
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stack_name = 'dummystack'
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params = parser.Parameters(stack_name, tmpl, {'foo': 'bar'})
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dummy_stack = parser.Stack(ctx, stack_name, tmpl, params)
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dummy_stack.state_set(dummy_stack.CREATE_COMPLETE, 'Testing')
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dummy_stack.store()
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cls.stack_id = dummy_stack.id
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def setUp(self):
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self.username = 'watchrule_test_user'
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self.m = mox.Mox()
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self.ctx = context.get_admin_context()
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self.ctx.username = self.username
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self.ctx.tenant_id = u'123456'
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self.m.ReplayAll()
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def tearDown(self):
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self.m.UnsetStubs()
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def _action_set_stubs(self, now, action_expected=True):
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# Setup stubs for the action tests
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self.m.StubOutWithMock(timeutils, 'utcnow')
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timeutils.utcnow().MultipleTimes().AndReturn(now)
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if action_expected:
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dummy_action = DummyAction()
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self.m.StubOutWithMock(parser.Stack, '__getitem__')
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parser.Stack.__getitem__(mox.IgnoreArg()
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).MultipleTimes().AndReturn(dummy_action)
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self.m.ReplayAll()
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def test_minimum(self):
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rule = {'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(context=self.ctx,
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watch_name="testwatch",
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rule=rule,
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watch_data=data,
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stack_id=self.stack_id,
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last_evaluated=last)
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new_state = watcher.get_alarm_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(context=self.ctx,
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watch_name="testwatch",
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rule=rule,
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watch_data=data,
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stack_id=self.stack_id,
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last_evaluated=last)
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new_state = watcher.get_alarm_state()
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self.assertEqual(new_state, 'ALARM')
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def test_maximum(self):
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rule = {'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(context=self.ctx,
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watch_name="testwatch",
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rule=rule,
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watch_data=data,
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stack_id=self.stack_id,
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last_evaluated=last)
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watcher.now = now
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new_state = watcher.get_alarm_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(context=self.ctx,
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watch_name="testwatch",
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rule=rule,
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watch_data=data,
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stack_id=self.stack_id,
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last_evaluated=last)
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watcher.now = now
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new_state = watcher.get_alarm_state()
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self.assertEqual(new_state, 'ALARM')
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def test_samplecount(self):
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rule = {'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(context=self.ctx,
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watch_name="testwatch",
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rule=rule,
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watch_data=data,
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stack_id=self.stack_id,
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last_evaluated=last)
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watcher.now = now
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new_state = watcher.get_alarm_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(context=self.ctx,
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watch_name="testwatch",
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rule=rule,
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watch_data=data,
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stack_id=self.stack_id,
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last_evaluated=last)
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watcher.now = now
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new_state = watcher.get_alarm_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(context=self.ctx,
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watch_name="testwatch",
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rule=rule,
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watch_data=data,
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stack_id=self.stack_id,
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last_evaluated=last)
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watcher.now = now
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new_state = watcher.get_alarm_state()
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self.assertEqual(new_state, 'NORMAL')
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def test_sum(self):
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rule = {'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(context=self.ctx,
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watch_name="testwatch",
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rule=rule,
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watch_data=data,
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stack_id=self.stack_id,
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last_evaluated=last)
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watcher.now = now
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new_state = watcher.get_alarm_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(context=self.ctx,
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watch_name="testwatch",
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rule=rule,
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watch_data=data,
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stack_id=self.stack_id,
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last_evaluated=last)
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watcher.now = now
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new_state = watcher.get_alarm_state()
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self.assertEqual(new_state, 'ALARM')
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def test_ave(self):
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rule = {'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(context=self.ctx,
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watch_name="testwatch",
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rule=rule,
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watch_data=data,
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stack_id=self.stack_id,
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last_evaluated=last)
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watcher.now = now
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new_state = watcher.get_alarm_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(context=self.ctx,
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watch_name="testwatch",
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rule=rule,
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watch_data=data,
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stack_id=self.stack_id,
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last_evaluated=last)
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watcher.now = now
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new_state = watcher.get_alarm_state()
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self.assertEqual(new_state, 'ALARM')
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def test_load(self):
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# Insert two dummy watch rules into the DB
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values = {'stack_id': self.stack_id,
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'state': 'NORMAL',
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'name': u'HttpFailureAlarm',
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'rule': {u'EvaluationPeriods': u'1',
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u'AlarmActions': [u'WebServerRestartPolicy'],
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u'AlarmDescription': u'Restart the WikiDatabase',
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u'Namespace': u'system/linux',
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u'Period': u'300',
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u'ComparisonOperator': u'GreaterThanThreshold',
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u'Statistic': u'SampleCount',
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u'Threshold': u'2',
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u'MetricName': u'ServiceFailure'}}
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db_ret = db_api.watch_rule_create(self.ctx, values)
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self.assertNotEqual(db_ret, None)
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values['name'] = 'AnotherWatch'
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db_ret = db_api.watch_rule_create(self.ctx, values)
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self.assertNotEqual(db_ret, None)
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# Then use WatchRule.load() to retrieve each by name
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# and check that the object properties match the data above
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for wn in ('HttpFailureAlarm', 'AnotherWatch'):
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wr = watchrule.WatchRule.load(self.ctx, wn)
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self.assertEqual(type(wr), watchrule.WatchRule)
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self.assertEqual(wr.name, wn)
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self.assertEqual(wr.state, values['state'])
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self.assertEqual(wr.rule, values['rule'])
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self.assertEqual(wr.timeperiod, datetime.timedelta(
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seconds=int(values['rule']['Period'])))
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# Cleanup
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db_api.watch_rule_delete(self.ctx, 'HttpFailureAlarm')
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db_api.watch_rule_delete(self.ctx, 'AnotherWatch')
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def test_store(self):
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rule = {u'EvaluationPeriods': u'1',
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u'AlarmActions': [u'WebServerRestartPolicy'],
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u'AlarmDescription': u'Restart the WikiDatabase',
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u'Namespace': u'system/linux',
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u'Period': u'300',
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u'ComparisonOperator': u'GreaterThanThreshold',
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u'Statistic': u'SampleCount',
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u'Threshold': u'2',
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u'MetricName': u'ServiceFailure'}
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wr = watchrule.WatchRule(context=self.ctx, watch_name='storetest',
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stack_id=self.stack_id, rule=rule)
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wr.store()
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dbwr = db_api.watch_rule_get_by_name(self.ctx, 'storetest')
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self.assertNotEqual(dbwr, None)
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self.assertEqual(dbwr.name, 'storetest')
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self.assertEqual(dbwr.state, watchrule.WatchRule.NODATA)
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self.assertEqual(dbwr.rule, rule)
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# Cleanup
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db_api.watch_rule_delete(self.ctx, 'storetest')
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def test_evaluate(self):
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rule = {'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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self.m.StubOutWithMock(timeutils, 'utcnow')
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timeutils.utcnow().MultipleTimes().AndReturn(now)
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self.m.ReplayAll()
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# It's not time to evaluate, so should stay NODATA
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last = now - datetime.timedelta(seconds=299)
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data = WatchData(25, now - datetime.timedelta(seconds=150))
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watcher = watchrule.WatchRule(context=self.ctx,
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watch_name="testwatch",
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rule=rule,
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watch_data=[data],
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stack_id=self.stack_id,
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last_evaluated=last)
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actions = watcher.evaluate()
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self.assertEqual(watcher.state, 'NODATA')
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self.assertEqual(actions, [])
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# now - last == Period, so should set NORMAL
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last = now - datetime.timedelta(seconds=300)
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data = WatchData(25, now - datetime.timedelta(seconds=150))
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watcher = watchrule.WatchRule(context=self.ctx,
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watch_name="testwatch",
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rule=rule,
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watch_data=[data],
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stack_id=self.stack_id,
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last_evaluated=last)
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actions = watcher.evaluate()
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self.assertEqual(watcher.state, 'NORMAL')
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self.assertEqual(watcher.last_evaluated, now)
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self.assertEqual(actions, [])
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# Now data breaches Threshold, so should set ALARM
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last = now - datetime.timedelta(seconds=300)
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data = WatchData(35, now - datetime.timedelta(seconds=150))
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watcher = watchrule.WatchRule(context=self.ctx,
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watch_name="testwatch",
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rule=rule,
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watch_data=[data],
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stack_id=self.stack_id,
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last_evaluated=last)
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actions = watcher.evaluate()
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self.assertEqual(watcher.state, 'ALARM')
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self.assertEqual(watcher.last_evaluated, now)
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self.assertEqual(actions, [])
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def test_rule_actions_alarm_normal(self):
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rule = {'EvaluationPeriods': '1',
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'MetricName': 'test_metric',
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'AlarmActions': ['DummyAction'],
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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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self._action_set_stubs(now, action_expected=False)
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# Set data so rule evaluates to NORMAL state
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last = now - datetime.timedelta(seconds=300)
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data = WatchData(25, now - datetime.timedelta(seconds=150))
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watcher = watchrule.WatchRule(context=self.ctx,
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watch_name="testwatch",
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rule=rule,
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watch_data=[data],
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stack_id=self.stack_id,
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last_evaluated=last)
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actions = watcher.evaluate()
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self.assertEqual(watcher.state, 'NORMAL')
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self.assertEqual(actions, [])
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self.m.VerifyAll()
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def test_rule_actions_alarm_alarm(self):
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rule = {'EvaluationPeriods': '1',
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'MetricName': 'test_metric',
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'AlarmActions': ['DummyAction'],
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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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self._action_set_stubs(now)
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# Set data so rule evaluates to ALARM state
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last = now - datetime.timedelta(seconds=300)
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data = WatchData(35, now - datetime.timedelta(seconds=150))
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watcher = watchrule.WatchRule(context=self.ctx,
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watch_name="testwatch",
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rule=rule,
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watch_data=[data],
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stack_id=self.stack_id,
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last_evaluated=last)
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actions = watcher.evaluate()
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self.assertEqual(watcher.state, 'ALARM')
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self.assertEqual(actions, ['DummyAction'])
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# re-set last_evaluated so the rule will be evaluated again,
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# but since we're already in ALARM state, we should not generate
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# any additional actions
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last = now - datetime.timedelta(seconds=300)
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watcher.last_evaluated = last
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actions = watcher.evaluate()
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self.assertEqual(watcher.state, 'ALARM')
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self.assertEqual(actions, [])
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self.m.VerifyAll()
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def test_rule_actions_alarm_two_actions(self):
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rule = {'EvaluationPeriods': '1',
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'MetricName': 'test_metric',
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'AlarmActions': ['DummyAction', 'AnotherDummyAction'],
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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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self._action_set_stubs(now)
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# Set data so rule evaluates to ALARM state
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last = now - datetime.timedelta(seconds=300)
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data = WatchData(35, now - datetime.timedelta(seconds=150))
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watcher = watchrule.WatchRule(context=self.ctx,
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watch_name="testwatch",
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rule=rule,
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watch_data=[data],
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stack_id=self.stack_id,
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last_evaluated=last)
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actions = watcher.evaluate()
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self.assertEqual(watcher.state, 'ALARM')
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self.assertEqual(actions, ['DummyAction', 'DummyAction'])
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self.m.VerifyAll()
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def test_rule_actions_ok_alarm(self):
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rule = {'EvaluationPeriods': '1',
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'MetricName': 'test_metric',
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'OKActions': ['DummyAction'],
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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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self._action_set_stubs(now, action_expected=False)
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# On creation the rule evaluates to NODATA state
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last = now - datetime.timedelta(seconds=300)
|
|
watcher = watchrule.WatchRule(context=self.ctx,
|
|
watch_name="testwatch",
|
|
rule=rule,
|
|
watch_data=[],
|
|
stack_id=self.stack_id,
|
|
last_evaluated=last)
|
|
|
|
actions = watcher.evaluate()
|
|
self.assertEqual(watcher.state, 'NODATA')
|
|
self.assertEqual(actions, [])
|
|
|
|
# Move time forward and add data below threshold so we transition from
|
|
# ALARM -> NORMAL, so evaluate() should output a 'DummyAction'
|
|
now = now + datetime.timedelta(seconds=300)
|
|
self.m.VerifyAll()
|
|
self.m.UnsetStubs()
|
|
self._action_set_stubs(now)
|
|
|
|
data = WatchData(25, now - datetime.timedelta(seconds=150))
|
|
watcher.watch_data = [data]
|
|
|
|
actions = watcher.evaluate()
|
|
self.assertEqual(watcher.state, 'NORMAL')
|
|
self.assertEqual(actions, ['DummyAction'])
|
|
self.m.VerifyAll()
|
|
|
|
def test_rule_actions_nodata(self):
|
|
rule = {'EvaluationPeriods': '1',
|
|
'MetricName': 'test_metric',
|
|
'InsufficientDataActions': ['DummyAction'],
|
|
'Period': '300',
|
|
'Statistic': 'Maximum',
|
|
'ComparisonOperator': 'GreaterThanOrEqualToThreshold',
|
|
'Threshold': '30'}
|
|
|
|
now = timeutils.utcnow()
|
|
self._action_set_stubs(now, action_expected=False)
|
|
|
|
# Set data so rule evaluates to ALARM state
|
|
last = now - datetime.timedelta(seconds=300)
|
|
data = WatchData(35, now - datetime.timedelta(seconds=150))
|
|
watcher = watchrule.WatchRule(context=self.ctx,
|
|
watch_name="testwatch",
|
|
rule=rule,
|
|
watch_data=[data],
|
|
stack_id=self.stack_id,
|
|
last_evaluated=last)
|
|
|
|
actions = watcher.evaluate()
|
|
self.assertEqual(watcher.state, 'ALARM')
|
|
self.assertEqual(actions, [])
|
|
|
|
# Move time forward and don't add data so we transition from
|
|
# ALARM -> NODATA, so evaluate() should output a 'DummyAction'
|
|
now = now + datetime.timedelta(seconds=300)
|
|
self.m.VerifyAll()
|
|
self.m.UnsetStubs()
|
|
self._action_set_stubs(now)
|
|
|
|
actions = watcher.evaluate()
|
|
self.assertEqual(watcher.state, 'NODATA')
|
|
self.assertEqual(actions, ['DummyAction'])
|
|
self.m.VerifyAll()
|
|
|
|
def test_create_watch_data(self):
|
|
rule = {u'EvaluationPeriods': u'1',
|
|
u'AlarmDescription': u'test alarm',
|
|
u'Period': u'300',
|
|
u'ComparisonOperator': u'GreaterThanThreshold',
|
|
u'Statistic': u'SampleCount',
|
|
u'Threshold': u'2',
|
|
u'MetricName': u'CreateDataMetric'}
|
|
wr = watchrule.WatchRule(context=self.ctx,
|
|
watch_name='create_data_test',
|
|
stack_id=self.stack_id, rule=rule)
|
|
|
|
wr.store()
|
|
|
|
data = {u'CreateDataMetric': {"Unit": "Counter",
|
|
"Value": "1",
|
|
"Dimensions": []}}
|
|
wr.create_watch_data(data)
|
|
|
|
dbwr = db_api.watch_rule_get_by_name(self.ctx, 'create_data_test')
|
|
self.assertEqual(dbwr.watch_data[0].data, data)
|
|
|
|
# Note, would be good to write another datapoint and check it
|
|
# but sqlite seems to not interpret the backreference correctly
|
|
# so dbwr.watch_data is always a list containing only the latest
|
|
# datapoint. In non-test use on mysql this is not the case, we
|
|
# correctly get a list of all datapoints where watch_rule_id ==
|
|
# watch_rule.id, so leave it as a single-datapoint test for now.
|
|
|
|
# Cleanup
|
|
db_api.watch_rule_delete(self.ctx, 'create_data_test')
|
|
|
|
def test_set_watch_state(self):
|
|
rule = {'EvaluationPeriods': '1',
|
|
'MetricName': 'test_metric',
|
|
'AlarmActions': ['DummyAction'],
|
|
'Period': '300',
|
|
'Statistic': 'Maximum',
|
|
'ComparisonOperator': 'GreaterThanOrEqualToThreshold',
|
|
'Threshold': '30'}
|
|
|
|
now = timeutils.utcnow()
|
|
self._action_set_stubs(now)
|
|
|
|
# Set data so rule evaluates to ALARM state
|
|
last = now - datetime.timedelta(seconds=200)
|
|
watcher = watchrule.WatchRule(context=self.ctx,
|
|
watch_name="testwatch",
|
|
rule=rule,
|
|
watch_data=[],
|
|
stack_id=self.stack_id,
|
|
last_evaluated=last)
|
|
|
|
actions = watcher.set_watch_state(watchrule.WatchRule.NODATA)
|
|
self.assertEqual(actions, [])
|
|
|
|
actions = watcher.set_watch_state(watchrule.WatchRule.NORMAL)
|
|
self.assertEqual(actions, [])
|
|
|
|
actions = watcher.set_watch_state(watchrule.WatchRule.ALARM)
|
|
self.assertEqual(actions, ['DummyAction'])
|
|
self.m.VerifyAll()
|
|
|
|
def test_set_watch_state_invalid(self):
|
|
rule = {'EvaluationPeriods': '1',
|
|
'MetricName': 'test_metric',
|
|
'AlarmActions': ['DummyAction'],
|
|
'Period': '300',
|
|
'Statistic': 'Maximum',
|
|
'ComparisonOperator': 'GreaterThanOrEqualToThreshold',
|
|
'Threshold': '30'}
|
|
|
|
now = timeutils.utcnow()
|
|
|
|
last = now - datetime.timedelta(seconds=200)
|
|
watcher = watchrule.WatchRule(context=self.ctx,
|
|
watch_name="testwatch",
|
|
rule=rule,
|
|
watch_data=[],
|
|
stack_id=self.stack_id,
|
|
last_evaluated=last)
|
|
|
|
self.assertRaises(ValueError, watcher.set_watch_state, None)
|
|
|
|
self.assertRaises(ValueError, watcher.set_watch_state, "BADSTATE")
|