deb-heat/heat/tests/test_watch.py

882 lines
37 KiB
Python

#
# 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 mox
from heat.common import exception
import heat.db.api as db_api
from heat.engine import parser
from heat.engine import watchrule
from heat.openstack.common import timeutils
from heat.tests.common import HeatTestCase
from heat.tests import utils
class WatchData(object):
def __init__(self, data, created_at):
self.created_at = created_at
self.data = {'test_metric': {'Value': data,
'Unit': 'Count'}}
class DummyAction(object):
signal = "DummyAction"
class WatchRuleTest(HeatTestCase):
stack_id = None
@classmethod
def setUpDatabase(cls):
if cls.stack_id is not None:
return
# Create a dummy stack in the DB as WatchRule instances
# must be associated with a stack
utils.setup_dummy_db()
ctx = utils.dummy_context()
ctx.auth_token = 'abcd1234'
empty_tmpl = {"template": {}}
tmpl = parser.Template(empty_tmpl)
stack_name = 'dummystack'
dummy_stack = parser.Stack(ctx, stack_name, tmpl)
dummy_stack.state_set(dummy_stack.CREATE, dummy_stack.COMPLETE,
'Testing')
dummy_stack.store()
cls.stack_id = dummy_stack.id
def setUp(self):
super(WatchRuleTest, self).setUp()
self.setUpDatabase()
self.username = 'watchrule_test_user'
self.ctx = utils.dummy_context()
self.ctx.auth_token = 'abcd1234'
self.m.ReplayAll()
def _action_set_stubs(self, now, action_expected=True):
# Setup stubs for the action tests
self.m.StubOutWithMock(timeutils, 'utcnow')
timeutils.utcnow().MultipleTimes().AndReturn(now)
if action_expected:
dummy_action = DummyAction()
self.m.StubOutWithMock(parser.Stack, 'resource_by_refid')
parser.Stack.resource_by_refid(mox.IgnoreArg()).\
MultipleTimes().AndReturn(dummy_action)
self.m.ReplayAll()
def test_minimum(self):
rule = {'EvaluationPeriods': '1',
'MetricName': 'test_metric',
'Period': '300',
'Statistic': 'Minimum',
'ComparisonOperator': 'LessThanOrEqualToThreshold',
'Threshold': '50'}
now = timeutils.utcnow()
last = now - datetime.timedelta(seconds=320)
data = [WatchData(77, now - datetime.timedelta(seconds=100))]
data.append(WatchData(53, now - datetime.timedelta(seconds=150)))
# all > 50 -> NORMAL
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=data,
stack_id=self.stack_id,
last_evaluated=last)
new_state = self.wr.get_alarm_state()
self.assertEqual('NORMAL', new_state)
data.append(WatchData(25, now - datetime.timedelta(seconds=250)))
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=data,
stack_id=self.stack_id,
last_evaluated=last)
new_state = self.wr.get_alarm_state()
self.assertEqual('ALARM', new_state)
def test_maximum(self):
rule = {'EvaluationPeriods': '1',
'MetricName': 'test_metric',
'Period': '300',
'Statistic': 'Maximum',
'ComparisonOperator': 'GreaterThanOrEqualToThreshold',
'Threshold': '30'}
now = timeutils.utcnow()
last = now - datetime.timedelta(seconds=320)
data = [WatchData(7, now - datetime.timedelta(seconds=100))]
data.append(WatchData(23, now - datetime.timedelta(seconds=150)))
# all < 30 -> NORMAL
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=data,
stack_id=self.stack_id,
last_evaluated=last)
self.wr.now = now
new_state = self.wr.get_alarm_state()
self.assertEqual('NORMAL', new_state)
data.append(WatchData(35, now - datetime.timedelta(seconds=150)))
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=data,
stack_id=self.stack_id,
last_evaluated=last)
self.wr.now = now
new_state = self.wr.get_alarm_state()
self.assertEqual('ALARM', new_state)
def test_samplecount(self):
rule = {'EvaluationPeriods': '1',
'MetricName': 'test_metric',
'Period': '300',
'Statistic': 'SampleCount',
'ComparisonOperator': 'GreaterThanOrEqualToThreshold',
'Threshold': '3'}
now = timeutils.utcnow()
last = now - datetime.timedelta(seconds=320)
data = [WatchData(1, now - datetime.timedelta(seconds=100))]
data.append(WatchData(1, now - datetime.timedelta(seconds=150)))
# only 2 samples -> NORMAL
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=data,
stack_id=self.stack_id,
last_evaluated=last)
self.wr.now = now
new_state = self.wr.get_alarm_state()
self.assertEqual('NORMAL', new_state)
# only 3 samples -> ALARM
data.append(WatchData(1, now - datetime.timedelta(seconds=200)))
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=data,
stack_id=self.stack_id,
last_evaluated=last)
self.wr.now = now
new_state = self.wr.get_alarm_state()
self.assertEqual('ALARM', new_state)
# only 3 samples (one old) -> NORMAL
data.pop(0)
data.append(WatchData(1, now - datetime.timedelta(seconds=400)))
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=data,
stack_id=self.stack_id,
last_evaluated=last)
self.wr.now = now
new_state = self.wr.get_alarm_state()
self.assertEqual('NORMAL', new_state)
def test_sum(self):
rule = {'EvaluationPeriods': '1',
'MetricName': 'test_metric',
'Period': '300',
'Statistic': 'Sum',
'ComparisonOperator': 'GreaterThanOrEqualToThreshold',
'Threshold': '100'}
now = timeutils.utcnow()
last = now - datetime.timedelta(seconds=320)
data = [WatchData(17, now - datetime.timedelta(seconds=100))]
data.append(WatchData(23, now - datetime.timedelta(seconds=150)))
# all < 40 -> NORMAL
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=data,
stack_id=self.stack_id,
last_evaluated=last)
self.wr.now = now
new_state = self.wr.get_alarm_state()
self.assertEqual('NORMAL', new_state)
# sum > 100 -> ALARM
data.append(WatchData(85, now - datetime.timedelta(seconds=150)))
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=data,
stack_id=self.stack_id,
last_evaluated=last)
self.wr.now = now
new_state = self.wr.get_alarm_state()
self.assertEqual('ALARM', new_state)
def test_ave(self):
rule = {'EvaluationPeriods': '1',
'MetricName': 'test_metric',
'Period': '300',
'Statistic': 'Average',
'ComparisonOperator': 'GreaterThanThreshold',
'Threshold': '100'}
now = timeutils.utcnow()
last = now - datetime.timedelta(seconds=320)
data = [WatchData(117, now - datetime.timedelta(seconds=100))]
data.append(WatchData(23, now - datetime.timedelta(seconds=150)))
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=data,
stack_id=self.stack_id,
last_evaluated=last)
self.wr.now = now
new_state = self.wr.get_alarm_state()
self.assertEqual('NORMAL', new_state)
data.append(WatchData(195, now - datetime.timedelta(seconds=250)))
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=data,
stack_id=self.stack_id,
last_evaluated=last)
self.wr.now = now
new_state = self.wr.get_alarm_state()
self.assertEqual('ALARM', new_state)
@utils.wr_delete_after
def test_load(self):
# Insert two dummy watch rules into the DB
rule = {u'EvaluationPeriods': u'1',
u'AlarmActions': [u'WebServerRestartPolicy'],
u'AlarmDescription': u'Restart the WikiDatabase',
u'Namespace': u'system/linux',
u'Period': u'300',
u'ComparisonOperator': u'GreaterThanThreshold',
u'Statistic': u'SampleCount',
u'Threshold': u'2',
u'MetricName': u'ServiceFailure'}
self.wr = []
self.wr.append(watchrule.WatchRule(context=self.ctx,
watch_name='HttpFailureAlarm',
rule=rule,
watch_data=[],
stack_id=self.stack_id,
state='NORMAL'))
self.wr[0].store()
self.wr.append(watchrule.WatchRule(context=self.ctx,
watch_name='AnotherWatch',
rule=rule,
watch_data=[],
stack_id=self.stack_id,
state='NORMAL'))
self.wr[1].store()
# Then use WatchRule.load() to retrieve each by name
# and check that the object properties match the data above
for wn in ('HttpFailureAlarm', 'AnotherWatch'):
wr = watchrule.WatchRule.load(self.ctx, wn)
self.assertIsInstance(wr, watchrule.WatchRule)
self.assertEqual(wn, wr.name)
self.assertEqual('NORMAL', wr.state)
self.assertEqual(rule, wr.rule)
self.assertEqual(datetime.timedelta(seconds=int(rule['Period'])),
wr.timeperiod)
@utils.wr_delete_after
def test_store(self):
rule = {u'EvaluationPeriods': u'1',
u'AlarmActions': [u'WebServerRestartPolicy'],
u'AlarmDescription': u'Restart the WikiDatabase',
u'Namespace': u'system/linux',
u'Period': u'300',
u'ComparisonOperator': u'GreaterThanThreshold',
u'Statistic': u'SampleCount',
u'Threshold': u'2',
u'MetricName': u'ServiceFailure'}
self.wr = watchrule.WatchRule(context=self.ctx, watch_name='storetest',
stack_id=self.stack_id, rule=rule)
self.wr.store()
dbwr = db_api.watch_rule_get_by_name(self.ctx, 'storetest')
self.assertIsNotNone(dbwr)
self.assertEqual('storetest', dbwr.name)
self.assertEqual(watchrule.WatchRule.NODATA, dbwr.state)
self.assertEqual(rule, dbwr.rule)
@utils.wr_delete_after
def test_evaluate(self):
rule = {'EvaluationPeriods': '1',
'MetricName': 'test_metric',
'Period': '300',
'Statistic': 'Maximum',
'ComparisonOperator': 'GreaterThanOrEqualToThreshold',
'Threshold': '30'}
now = timeutils.utcnow()
self.m.StubOutWithMock(timeutils, 'utcnow')
timeutils.utcnow().MultipleTimes().AndReturn(now)
self.m.ReplayAll()
# It's not time to evaluate, so should stay NODATA
last = now - datetime.timedelta(seconds=299)
data = WatchData(25, now - datetime.timedelta(seconds=150))
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=[data],
stack_id=self.stack_id,
last_evaluated=last)
actions = self.wr.evaluate()
self.assertEqual('NODATA', self.wr.state)
self.assertEqual([], actions)
# now - last == Period, so should set NORMAL
last = now - datetime.timedelta(seconds=300)
data = WatchData(25, now - datetime.timedelta(seconds=150))
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=[data],
stack_id=self.stack_id,
last_evaluated=last)
actions = self.wr.evaluate()
self.assertEqual('NORMAL', self.wr.state)
self.assertEqual(now, self.wr.last_evaluated)
self.assertEqual([], actions)
# Now data breaches Threshold, so should set ALARM
last = now - datetime.timedelta(seconds=300)
data = WatchData(35, now - datetime.timedelta(seconds=150))
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=[data],
stack_id=self.stack_id,
last_evaluated=last)
actions = self.wr.evaluate()
self.assertEqual('ALARM', self.wr.state)
self.assertEqual(now, self.wr.last_evaluated)
self.assertEqual([], actions)
@utils.wr_delete_after
def test_evaluate_suspend(self):
rule = {'EvaluationPeriods': '1',
'MetricName': 'test_metric',
'Period': '300',
'Statistic': 'Maximum',
'ComparisonOperator': 'GreaterThanOrEqualToThreshold',
'Threshold': '30'}
now = timeutils.utcnow()
self.m.StubOutWithMock(timeutils, 'utcnow')
timeutils.utcnow().MultipleTimes().AndReturn(now)
self.m.ReplayAll()
# Now data breaches Threshold, but we're suspended
last = now - datetime.timedelta(seconds=300)
data = WatchData(35, now - datetime.timedelta(seconds=150))
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=[data],
stack_id=self.stack_id,
last_evaluated=last)
self.wr.state_set(self.wr.SUSPENDED)
actions = self.wr.evaluate()
self.assertEqual(self.wr.SUSPENDED, self.wr.state)
self.assertEqual([], actions)
@utils.wr_delete_after
def test_rule_actions_alarm_normal(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, action_expected=False)
# Set data so rule evaluates to NORMAL state
last = now - datetime.timedelta(seconds=300)
data = WatchData(25, now - datetime.timedelta(seconds=150))
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=[data],
stack_id=self.stack_id,
last_evaluated=last)
actions = self.wr.evaluate()
self.assertEqual('NORMAL', self.wr.state)
self.assertEqual([], actions)
self.m.VerifyAll()
@utils.wr_delete_after
def test_rule_actions_alarm_alarm(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=300)
data = WatchData(35, now - datetime.timedelta(seconds=150))
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=[data],
stack_id=self.stack_id,
last_evaluated=last)
actions = self.wr.evaluate()
self.assertEqual('ALARM', self.wr.state)
self.assertEqual(['DummyAction'], actions)
# re-set last_evaluated so the rule will be evaluated again.
last = now - datetime.timedelta(seconds=300)
self.wr.last_evaluated = last
actions = self.wr.evaluate()
self.assertEqual('ALARM', self.wr.state)
self.assertEqual(['DummyAction'], actions)
self.m.VerifyAll()
@utils.wr_delete_after
def test_rule_actions_alarm_two_actions(self):
rule = {'EvaluationPeriods': '1',
'MetricName': 'test_metric',
'AlarmActions': ['DummyAction', 'AnotherDummyAction'],
'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=300)
data = WatchData(35, now - datetime.timedelta(seconds=150))
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=[data],
stack_id=self.stack_id,
last_evaluated=last)
actions = self.wr.evaluate()
self.assertEqual('ALARM', self.wr.state)
self.assertEqual(['DummyAction', 'DummyAction'], actions)
self.m.VerifyAll()
@utils.wr_delete_after
def test_rule_actions_ok_alarm(self):
rule = {'EvaluationPeriods': '1',
'MetricName': 'test_metric',
'OKActions': ['DummyAction'],
'Period': '300',
'Statistic': 'Maximum',
'ComparisonOperator': 'GreaterThanOrEqualToThreshold',
'Threshold': '30'}
now = timeutils.utcnow()
self._action_set_stubs(now, action_expected=False)
# On creation the rule evaluates to NODATA state
last = now - datetime.timedelta(seconds=300)
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=[],
stack_id=self.stack_id,
last_evaluated=last)
actions = self.wr.evaluate()
self.assertEqual('NODATA', self.wr.state)
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))
self.wr.watch_data = [data]
actions = self.wr.evaluate()
self.assertEqual('NORMAL', self.wr.state)
self.assertEqual(['DummyAction'], actions)
self.m.VerifyAll()
@utils.wr_delete_after
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))
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=[data],
stack_id=self.stack_id,
last_evaluated=last)
actions = self.wr.evaluate()
self.assertEqual('ALARM', self.wr.state)
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 = self.wr.evaluate()
self.assertEqual('NODATA', self.wr.state)
self.assertEqual(['DummyAction'], actions)
self.m.VerifyAll()
@utils.wr_delete_after
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'}
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name='create_data_test',
stack_id=self.stack_id, rule=rule)
self.wr.store()
data = {u'CreateDataMetric': {"Unit": "Counter",
"Value": "1",
"Dimensions": []}}
self.wr.create_watch_data(data)
dbwr = db_api.watch_rule_get_by_name(self.ctx, 'create_data_test')
self.assertEqual(data, dbwr.watch_data[0].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.
@utils.wr_delete_after
def test_create_watch_data_suspended(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'}
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name='create_data_test',
stack_id=self.stack_id, rule=rule,
state=watchrule.WatchRule.SUSPENDED)
self.wr.store()
data = {u'CreateDataMetric': {"Unit": "Counter",
"Value": "1",
"Dimensions": []}}
self.wr.create_watch_data(data)
dbwr = db_api.watch_rule_get_by_name(self.ctx, 'create_data_test')
self.assertEqual([], dbwr.watch_data)
@utils.wr_delete_after
def test_create_watch_data_match(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'Dimensions': [{u'Name': 'AutoScalingGroupName',
u'Value': 'group_x'}],
u'MetricName': u'CreateDataMetric'}
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name='create_data_test',
stack_id=self.stack_id, rule=rule)
self.wr.store()
data = {u'CreateDataMetric': {"Unit": "Counter",
"Value": "1",
"Dimensions": [{u'AutoScalingGroupName':
u'group_x'}]}}
self.assertTrue(watchrule.rule_can_use_sample(self.wr, data))
@utils.wr_delete_after
def test_create_watch_data_match_2(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'Dimensions': [{u'Name': 'AutoScalingGroupName',
u'Value': 'group_x'}],
u'MetricName': u'CreateDataMetric'}
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name='create_data_test',
stack_id=self.stack_id, rule=rule)
self.wr.store()
data = {u'not_interesting': {"Unit": "Counter",
"Value": "1",
"Dimensions": [
{u'AutoScalingGroupName':
u'group_x'}]},
u'CreateDataMetric': {"Unit": "Counter",
"Value": "1",
"Dimensions": [
{u'AutoScalingGroupName':
u'group_x'}]}}
self.assertTrue(watchrule.rule_can_use_sample(self.wr, data))
def test_create_watch_data_match_3(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'Dimensions': [{u'Name': 'AutoScalingGroupName',
u'Value': 'group_x'}],
u'MetricName': u'CreateDataMetric'}
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name='create_data_test',
stack_id=self.stack_id, rule=rule)
self.wr.store()
data = {u'CreateDataMetric': {"Unit": "Counter",
"Value": "1",
"Dimensions": [
{u'AutoScalingGroupName':
u'not_this'}]},
u'CreateDataMetric': {"Unit": "Counter",
"Value": "1",
"Dimensions": [
{u'AutoScalingGroupName':
u'group_x'}]}}
self.assertTrue(watchrule.rule_can_use_sample(self.wr, data))
def test_create_watch_data_not_match_metric(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'Dimensions': [{u'Name': 'AutoScalingGroupName',
u'Value': 'group_x'}],
u'MetricName': u'CreateDataMetric'}
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name='create_data_test',
stack_id=self.stack_id, rule=rule)
self.wr.store()
data = {u'not_this': {"Unit": "Counter",
"Value": "1",
"Dimensions": [
{u'AutoScalingGroupName':
u'group_x'}]},
u'nor_this': {"Unit": "Counter",
"Value": "1",
"Dimensions": [
{u'AutoScalingGroupName':
u'group_x'}]}}
self.assertFalse(watchrule.rule_can_use_sample(self.wr, data))
def test_create_watch_data_not_match_dimensions(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'Dimensions': [{u'Name': 'AutoScalingGroupName',
u'Value': 'group_x'}],
u'MetricName': u'CreateDataMetric'}
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name='create_data_test',
stack_id=self.stack_id, rule=rule)
self.wr.store()
data = {u'CreateDataMetric': {"Unit": "Counter",
"Value": "1",
"Dimensions": [
{u'AutoScalingGroupName':
u'not_this'}]},
u'CreateDataMetric': {"Unit": "Counter",
"Value": "1",
"Dimensions": [
{u'wrong_key':
u'group_x'}]}}
self.assertFalse(watchrule.rule_can_use_sample(self.wr, data))
def test_destroy(self):
rule = {'EvaluationPeriods': '1',
'MetricName': 'test_metric',
'AlarmActions': ['DummyAction'],
'Period': '300',
'Statistic': 'Maximum',
'ComparisonOperator': 'GreaterThanOrEqualToThreshold',
'Threshold': '30'}
last = timeutils.utcnow()
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch_destroy",
rule=rule,
watch_data=[],
stack_id=self.stack_id,
last_evaluated=last)
self.wr.store()
check = watchrule.WatchRule.load(context=self.ctx,
watch_name="testwatch_destroy")
self.assertIsInstance(check, watchrule.WatchRule)
self.wr.destroy()
self.assertRaises(exception.WatchRuleNotFound,
watchrule.WatchRule.load, context=self.ctx,
watch_name="testwatch_destroy")
def test_state_set(self):
rule = {'EvaluationPeriods': '1',
'MetricName': 'test_metric',
'AlarmActions': ['DummyAction'],
'Period': '300',
'Statistic': 'Maximum',
'ComparisonOperator': 'GreaterThanOrEqualToThreshold',
'Threshold': '30'}
last = timeutils.utcnow()
watcher = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch_set_state",
rule=rule,
watch_data=[],
stack_id=self.stack_id,
last_evaluated=last)
watcher.state_set(watcher.SUSPENDED)
self.assertEqual(watcher.SUSPENDED, watcher.state)
check = watchrule.WatchRule.load(context=self.ctx,
watch_name="testwatch_set_state")
self.assertEqual(watchrule.WatchRule.SUSPENDED, check.state)
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)
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=[],
stack_id=self.stack_id,
last_evaluated=last)
actions = self.wr.set_watch_state(watchrule.WatchRule.NODATA)
self.assertEqual([], actions)
actions = self.wr.set_watch_state(watchrule.WatchRule.NORMAL)
self.assertEqual([], actions)
actions = self.wr.set_watch_state(watchrule.WatchRule.ALARM)
self.assertEqual(['DummyAction'], actions)
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)
self.wr = watchrule.WatchRule(context=self.ctx,
watch_name="testwatch",
rule=rule,
watch_data=[],
stack_id=self.stack_id,
last_evaluated=last)
self.assertRaises(ValueError, self.wr.set_watch_state, None)
self.assertRaises(ValueError, self.wr.set_watch_state, "BADSTATE")