openstack/deb-ceilometer
Code Issues Proposed changes

alarming: add gnocchi alarm rules

Browse Source 
Testing the API part of Gnocchi alarms within the Gnocchi tree is
a pain and doesn't really have senses.

So, this change moves the gnocchi alarms rules and evaluator that live
in Gnocchi tree to Ceilometer tree.

This also permits to add these new alarm rules into the documentation.

And add some tests that cannot be done on the gnocchi side.

DocImpact

Change-Id: I1bbc9f904d55b51cd1b3c51dcdfaf58f01bd9075
This commit is contained in:
Mehdi Abaakouk 2015-02-13 09:49:13 +01:00
parent 0fdada1a10
commit 4eedba6e80
10 changed files with 1007 additions and 46 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

16
ceilometer/agent/manager.py
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@ -13,10 +13,10 @@
# License for the specific language governing permissions and limitations
# under the License.
from keystoneclient.v2_0 import client as ksclient
from oslo_config import cfg
from ceilometer.agent import base
from ceilometer import keystone_client
from ceilometer.openstack.common import log
OPTS = [
@ -31,8 +31,6 @@ OPTS = [
]
cfg.CONF.register_opts(OPTS, group='polling')
cfg.CONF.import_group('service_credentials', 'ceilometer.service')
cfg.CONF.import_opt('http_timeout', 'ceilometer.service')
LOG = log.getLogger(__name__)
@ -48,17 +46,7 @@ class AgentManager(base.AgentManager):
def interval_task(self, task):
try:
self.keystone = ksclient.Client(
username=cfg.CONF.service_credentials.os_username,
password=cfg.CONF.service_credentials.os_password,
tenant_id=cfg.CONF.service_credentials.os_tenant_id,
tenant_name=cfg.CONF.service_credentials.os_tenant_name,
cacert=cfg.CONF.service_credentials.os_cacert,
auth_url=cfg.CONF.service_credentials.os_auth_url,
region_name=cfg.CONF.service_credentials.os_region_name,
insecure=cfg.CONF.service_credentials.insecure,
timeout=cfg.CONF.http_timeout,)
self.keystone = keystone_client.get_client()
except Exception as e:
self.keystone = e
super(AgentManager, self).interval_task(task)

226
ceilometer/alarm/evaluator/gnocchi.py Normal file
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@ -0,0 +1,226 @@
#
# 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 operator
from oslo_config import cfg
from oslo_serialization import jsonutils
from oslo_utils import timeutils
import requests
import six.moves
from ceilometer.alarm import evaluator
from ceilometer.i18n import _
from ceilometer import keystone_client
from ceilometer.openstack.common import log
LOG = log.getLogger(__name__)
COMPARATORS = {
'gt': operator.gt,
'lt': operator.lt,
'ge': operator.ge,
'le': operator.le,
'eq': operator.eq,
'ne': operator.ne,
}
OPTS = [
cfg.StrOpt('gnocchi_url',
default="http://localhost:8041",
help='URL to Gnocchi.'),
]
cfg.CONF.register_opts(OPTS, group="alarms")
cfg.CONF.import_opt('http_timeout', 'ceilometer.service')
class GnocchiThresholdEvaluator(evaluator.Evaluator):
# the sliding evaluation window is extended to allow
# for reporting/ingestion lag
look_back = 1
# minimum number of datapoints within sliding window to
# avoid unknown state
quorum = 1
def __init__(self, notifier):
super(GnocchiThresholdEvaluator, self).__init__(notifier)
self.gnocchi_url = cfg.CONF.alarms.gnocchi_url
self._ks_client = None
@property
def ks_client(self):
if self._ks_client is None:
self._ks_client = keystone_client.get_client()
return self._ks_client
def _get_headers(self, content_type="application/json"):
return {
'Content-Type': content_type,
'X-Auth-Token': self.ks_client.auth_token,
}
def _statistics(self, alarm, start, end):
"""Retrieve statistics over the current window."""
if alarm.type == 'gnocchi_metrics_threshold':
url = ("%s/v1/metric_aggregation/?"
"aggregation=%s&start=%s&end=%s&%s") % (
self.gnocchi_url,
alarm.rule['aggregation_method'],
start, end,
"&".join("metric=%s" % m
for m in alarm.rule['metrics']))
elif alarm.type == 'gnocchi_resources_threshold':
url = ("%s/v1/resource/%s/%s/metric/%s/measures?"
"aggregation=%s&start=%s&end=%s") % (
self.gnocchi_url,
alarm.rule['resource_type'],
alarm.rule['resource_constraint'],
alarm.rule['metric'],
alarm.rule['aggregation_method'],
start, end)
LOG.debug(_('stats query %s') % url)
try:
r = requests.get(url, headers=self._get_headers())
except Exception:
LOG.exception(_('alarm stats retrieval failed'))
return []
if int(r.status_code / 100) != 2:
LOG.exception(_('alarm stats retrieval failed: %s') % r.text)
return []
else:
return jsonutils.loads(r.text)
@classmethod
def _bound_duration(cls, alarm):
"""Bound the duration of the statistics query."""
now = timeutils.utcnow()
# when exclusion of weak datapoints is enabled, we extend
# the look-back period so as to allow a clearer sample count
# trend to be established
window = (alarm.rule['granularity'] *
(alarm.rule['evaluation_periods'] + cls.look_back))
start = now - datetime.timedelta(seconds=window)
LOG.debug(_('query stats from %(start)s to '
'%(now)s') % {'start': start, 'now': now})
return start.isoformat(), now.isoformat()
def _sufficient(self, alarm, statistics):
"""Check for the sufficiency of the data for evaluation.
Ensure there is sufficient data for evaluation, transitioning to
unknown otherwise.
"""
sufficient = len(statistics) >= self.quorum
if not sufficient and alarm.state != evaluator.UNKNOWN:
reason = _('%d datapoints are unknown') % alarm.rule[
'evaluation_periods']
reason_data = self._reason_data('unknown',
alarm.rule['evaluation_periods'],
None)
self._refresh(alarm, evaluator.UNKNOWN, reason, reason_data)
return sufficient
@staticmethod
def _reason_data(disposition, count, most_recent):
"""Create a reason data dictionary for this evaluator type."""
return {'type': 'threshold', 'disposition': disposition,
'count': count, 'most_recent': most_recent}
@classmethod
def _reason(cls, alarm, statistics, distilled, state):
"""Fabricate reason string."""
count = len(statistics)
disposition = 'inside' if state == evaluator.OK else 'outside'
last = statistics[-1]
transition = alarm.state != state
reason_data = cls._reason_data(disposition, count, last)
if transition:
return (_('Transition to %(state)s due to %(count)d samples'
' %(disposition)s threshold, most recent:'
' %(most_recent)s')
% dict(reason_data, state=state)), reason_data
return (_('Remaining as %(state)s due to %(count)d samples'
' %(disposition)s threshold, most recent: %(most_recent)s')
% dict(reason_data, state=state)), reason_data
def _transition(self, alarm, statistics, compared):
"""Transition alarm state if necessary.
The transition rules are currently hardcoded as:
- transitioning from a known state requires an unequivocal
set of datapoints
- transitioning from unknown is on the basis of the most
recent datapoint if equivocal
Ultimately this will be policy-driven.
"""
distilled = all(compared)
unequivocal = distilled or not any(compared)
unknown = alarm.state == evaluator.UNKNOWN
continuous = alarm.repeat_actions
if unequivocal:
state = evaluator.ALARM if distilled else evaluator.OK
reason, reason_data = self._reason(alarm, statistics,
distilled, state)
if alarm.state != state or continuous:
self._refresh(alarm, state, reason, reason_data)
elif unknown or continuous:
trending_state = evaluator.ALARM if compared[-1] else evaluator.OK
state = trending_state if unknown else alarm.state
reason, reason_data = self._reason(alarm, statistics,
distilled, state)
self._refresh(alarm, state, reason, reason_data)
@staticmethod
def _select_best_granularity(alarm, statistics):
"""Return the datapoints that correspond to the alarm granularity"""
# TODO(sileht): if there's no direct match, but there is an archive
# policy with granularity that's an even divisor or the period,
# we could potentially do a mean-of-means (or max-of-maxes or whatever,
# but not a stddev-of-stddevs).
return [stats[2] for stats in statistics
if stats[1] == alarm.rule['granularity']]
def evaluate(self, alarm):
if not self.within_time_constraint(alarm):
LOG.debug(_('Attempted to evaluate alarm %s, but it is not '
'within its time constraint.') % alarm.alarm_id)
return
start, end = self._bound_duration(alarm)
statistics = self._statistics(alarm, start, end)
statistics = self._select_best_granularity(alarm, statistics)
if self._sufficient(alarm, statistics):
def _compare(value):
op = COMPARATORS[alarm.rule['comparison_operator']]
limit = alarm.rule['threshold']
LOG.debug(_('comparing value %(value)s against threshold'
' %(limit)s') %
{'value': value, 'limit': limit})
return op(value, limit)
self._transition(alarm,
statistics,
list(six.moves.map(_compare, statistics)))

146
ceilometer/api/controllers/v2/alarm_rules/gnocchi.py Normal file
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@ -0,0 +1,146 @@
#
# 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.
from oslo_config import cfg
from oslo_serialization import jsonutils
import requests
import uuid
import wsme
from wsme import types as wtypes
from ceilometer.api.controllers.v2 import base
from ceilometer.api.controllers.v2 import utils as v2_utils
from ceilometer import keystone_client
cfg.CONF.import_opt('gnocchi_url', 'ceilometer.alarm.evaluator.gnocchi',
group="alarms")
class GnocchiUnavailable(Exception):
code = 503
class AlarmGnocchiThresholdRule(base.AlarmRule):
comparison_operator = base.AdvEnum('comparison_operator', str,
'lt', 'le', 'eq', 'ne', 'ge', 'gt',
default='eq')
"The comparison against the alarm threshold"
threshold = wsme.wsattr(float, mandatory=True)
"The threshold of the alarm"
aggregation_method = wsme.wsattr(wtypes.text, mandatory=True)
"The aggregation_method to compare to the threshold"
evaluation_periods = wsme.wsattr(wtypes.IntegerType(minimum=1), default=1)
"The number of historical periods to evaluate the threshold"
granularity = wsme.wsattr(wtypes.IntegerType(minimum=1), default=60)
"The time range in seconds over which query"
@classmethod
def validate_alarm(cls, alarm):
alarm_rule = getattr(alarm, "%s_rule" % alarm.type)
aggregation_method = alarm_rule.aggregation_method
if aggregation_method not in cls._get_aggregation_methods():
raise base.ClientSideError(
'aggregation_method should be in %s not %s' % (
cls._get_aggregation_methods(), aggregation_method))
# NOTE(sileht): once cachetools is in the requirements
# enable it
# @cachetools.ttl_cache(maxsize=1, ttl=600)
@staticmethod
def _get_aggregation_methods():
ks_client = keystone_client.get_client()
gnocchi_url = cfg.CONF.alarms.gnocchi_url
headers = {'Content-Type': "application/json",
'X-Auth-Token': ks_client.auth_token}
try:
r = requests.get("%s/v1/capabilities" % gnocchi_url,
headers=headers)
except requests.ConnectionError as e:
raise GnocchiUnavailable(e)
if r.status_code // 200 != 1:
raise GnocchiUnavailable(r.text)
return jsonutils.loads(r.text).get('aggregation_methods', [])
class AlarmGnocchiMetricOfResourcesThresholdRule(AlarmGnocchiThresholdRule):
metric = wsme.wsattr(wtypes.text, mandatory=True)
"The name of the metric"
resource_constraint = wsme.wsattr(wtypes.text, mandatory=True)
"The id of a resource or a expression to select multiple resources"
resource_type = wsme.wsattr(wtypes.text, mandatory=True)
"The resource type"
def as_dict(self):
rule = self.as_dict_from_keys(['granularity', 'comparison_operator',
'threshold', 'aggregation_method',
'evaluation_periods',
'metric',
'resource_constraint',
'resource_type'])
return rule
@classmethod
def validate_alarm(cls, alarm):
super(AlarmGnocchiMetricOfResourcesThresholdRule,
cls).validate_alarm(alarm)
rule = alarm.gnocchi_resources_threshold_rule
try:
uuid.UUID(rule.resource_constraint)
except Exception:
auth_project = v2_utils.get_auth_project(alarm.project_id)
if auth_project:
# NOTE(sileht): when we have more complex query allowed
# this should be enhanced to ensure the constraint are still
# scoped to auth_project
rule.resource_constraint += (
u'\u2227project_id=%s' % auth_project)
else:
ks_client = keystone_client.get_client()
gnocchi_url = cfg.CONF.alarms.gnocchi_url
headers = {'Content-Type': "application/json",
'X-Auth-Token': ks_client.auth_token}
try:
r = requests.get("%s/v1/resource/%s/%s" % (
gnocchi_url, rule.resource_type,
rule.resource_constraint),
headers=headers)
except requests.ConnectionError as e:
raise GnocchiUnavailable(e)
if r.status_code == 404:
raise base.EntityNotFound('gnocchi resource',
rule.resource_constraint)
elif r.status_code // 200 != 1:
raise base.ClientSideError(r.body, status_code=r.status_code)
class AlarmGnocchiMetricsThresholdRule(AlarmGnocchiThresholdRule):
metrics = wsme.wsattr([wtypes.text], mandatory=True)
"A list of metric Ids"
def as_dict(self):
rule = self.as_dict_from_keys(['granularity', 'comparison_operator',
'threshold', 'aggregation_method',
'evaluation_periods',
'metrics'])
return rule

4
ceilometer/api/controllers/v2/alarms.py
View File

@ -199,8 +199,10 @@ class Alarm(base.Base):
def get_description(self):
rule = getattr(self, '%s_rule' % self.type, None)
if not self._description and rule:
if not self._description:
if hasattr(rule, 'default_description'):
return six.text_type(rule.default_description)
return "%s alarm rule" % self.type
return self._description
def set_description(self, value):

34
ceilometer/keystone_client.py Normal file
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@ -0,0 +1,34 @@
#
# Copyright 2015 eNovance <licensing@enovance.com>
#
# 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.
from keystoneclient.v2_0 import client as ksclient
from oslo_config import cfg
cfg.CONF.import_group('service_credentials', 'ceilometer.service')
cfg.CONF.import_opt('http_timeout', 'ceilometer.service')
def get_client():
return ksclient.Client(
username=cfg.CONF.service_credentials.os_username,
password=cfg.CONF.service_credentials.os_password,
tenant_id=cfg.CONF.service_credentials.os_tenant_id,
tenant_name=cfg.CONF.service_credentials.os_tenant_name,
cacert=cfg.CONF.service_credentials.os_cacert,
auth_url=cfg.CONF.service_credentials.os_auth_url,
region_name=cfg.CONF.service_credentials.os_region_name,
insecure=cfg.CONF.service_credentials.insecure,
timeout=cfg.CONF.http_timeout,)

1
ceilometer/opts.py
View File

@ -105,6 +105,7 @@ def list_opts():
itertools.chain(ceilometer.alarm.notifier.rest.OPTS,
ceilometer.alarm.service.OPTS,
ceilometer.alarm.rpc.OPTS,
ceilometer.alarm.evaluator.gnocchi.OPTS,
ceilometer.api.controllers.v2.alarms.ALARM_API_OPTS,
ceilometer.cmd.alarm.OPTS)),
('api',

358
ceilometer/tests/alarm/evaluator/test_gnocchi.py Normal file
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@ -0,0 +1,358 @@
#
# 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.alarm.evaluator import base
from ceilometer.tests import constants
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
class TestGnocchiThresholdEvaluate(base.TestEvaluatorBase):
EVALUATOR = gnocchi.GnocchiThresholdEvaluator
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
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_constraint='my_instance')
),
models.Alarm(name='group_running_idle',
description='group_running_idle',
type='gnocchi_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']),
),
]
@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
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)])
self.requests.get.side_effect = [Exception('boom'),
FakeResponse(500, "error"),
means,
maxs]
self._evaluate_all_alarms()
self._assert_all_alarms('insufficient data')
self._evaluate_all_alarms()
self._assert_all_alarms('ok')
def test_simple_insufficient(self):
self._set_all_alarms('ok')
self.requests.get.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')
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)])
self.requests.get.side_effect = [avgs, maxs]
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"
end = "2015-01-26T12:57:00"
self.assertEqual([
mock.call('http://localhost:8041/v1/resource/instance/my_instance/'
'metric/cpu_util/measures?aggregation=mean'
'&start=' + start_alarm1 + '&end=' + end,
headers=expected_headers),
mock.call('http://localhost:8041/v1/metric_aggregation/?'
'aggregation=max&start=' + start_alarm2 + '&end=' + end +
'&metric=0bb1604d-1193-4c0a-b4b8-74b170e35e83'
'&metric=9ddc209f-42f8-41e1-b8f1-8804f59c4053',
headers=expected_headers)],
self.requests.get.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]]
reason_datas = [self._reason_data('outside', 5, avgs.values[-1]),
self._reason_data('outside', 4, maxs.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)
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)])
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]]
reason_datas = [self._reason_data('inside', 5, avgs.values[-1]),
self._reason_data('inside', 4, maxs.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)
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)])
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)
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)])
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)
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)])
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)
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)])
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]]
reason_datas = [self._reason_data('outside', 5, avgs.values[-1]),
self._reason_data('outside', 4, maxs.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)
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)])
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]]
reason_datas = [self._reason_data('outside', 5, avgs.values[-1]),
self._reason_data('outside', 4, maxs.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')
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
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)

256
ceilometer/tests/api/v2/test_alarm_scenarios.py
View File

@ -20,6 +20,7 @@ import uuid
import mock
import oslo.messaging.conffixture
from oslo_serialization import jsonutils
import requests
import six
from six import moves
@ -147,12 +148,68 @@ class TestAlarms(v2.FunctionalTest,
time_constraints=[],
rule=dict(alarm_ids=['a', 'b'],
operator='or'),
)]:
),
models.Alarm(name='name5',
type='gnocchi_resources_threshold',
enabled=True,
alarm_id='e',
description='e',
state='insufficient data',
severity='critical',
state_timestamp=constants.MIN_DATETIME,
timestamp=constants.MIN_DATETIME,
ok_actions=[],
insufficient_data_actions=[],
alarm_actions=[],
repeat_actions=True,
user_id=self.auth_headers['X-User-Id'],
project_id=self.auth_headers['X-Project-Id'],
time_constraints=[],
rule=dict(comparison_operator='gt',
threshold=2.0,
aggregation_method='mean',
granularity=60,
evaluation_periods=1,
metric='meter.test',
resource_type='instance',
resource_constraint=(
'6841c175-d7c4-4bc2-bc7a-1c7832271b8f'),
)
),
models.Alarm(name='name6',
type='gnocchi_metrics_threshold',
enabled=True,
alarm_id='f',
description='f',
state='insufficient data',
severity='critical',
state_timestamp=constants.MIN_DATETIME,
timestamp=constants.MIN_DATETIME,
ok_actions=[],
insufficient_data_actions=[],
alarm_actions=[],
repeat_actions=True,
user_id=self.auth_headers['X-User-Id'],
project_id=self.auth_headers['X-Project-Id'],
time_constraints=[],
rule=dict(comparison_operator='gt',
threshold=2.0,
aggregation_method='mean',
evaluation_periods=1,
granularity=60,
metrics=[
'41869681-5776-46d6-91ed-cccc43b6e4e3',
'a1fb80f4-c242-4f57-87c6-68f47521059e']
),
),
]:
self.alarm_conn.update_alarm(alarm)
@staticmethod
def _add_default_threshold_rule(alarm):
if 'exclude_outliers' not in alarm['threshold_rule']:
if (alarm['type'] == 'threshold' and
'exclude_outliers' not in alarm['threshold_rule']):
alarm['threshold_rule']['exclude_outliers'] = False
def _verify_alarm(self, json, alarm, expected_name=None):
@ -168,8 +225,9 @@ class TestAlarms(v2.FunctionalTest,
def test_list_alarms(self):
data = self.get_json('/alarms')
self.assertEqual(4, len(data))
self.assertEqual(set(['name1', 'name2', 'name3', 'name4']),
self.assertEqual(6, len(data))
self.assertEqual(set(['name1', 'name2', 'name3', 'name4', 'name5',
'name6']),
set(r['name'] for r in data))
self.assertEqual(set(['meter.test', 'meter.mine']),
set(r['threshold_rule']['meter_name']
@ -177,6 +235,10 @@ class TestAlarms(v2.FunctionalTest,
self.assertEqual(set(['or']),
set(r['combination_rule']['operator']
for r in data if 'combination_rule' in r))
self.assertEqual(set(['meter.test']),
set(r['gnocchi_resources_threshold_rule']['metric']
for r in data
if 'gnocchi_resources_threshold_rule' in r))
def test_alarms_query_with_timestamp(self):
date_time = datetime.datetime(2012, 7, 2, 10, 41)
@ -341,7 +403,7 @@ class TestAlarms(v2.FunctionalTest,
q=[{'field': field,
'op': 'eq',
'value': project}])
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
_test('project')
_test('project_id')
@ -406,7 +468,7 @@ class TestAlarms(v2.FunctionalTest,
% field.split('/', 1)[-1],
resp.json['error_message']['faultstring'])
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
def test_post_invalid_alarm_time_constraint_start(self):
json = {
@ -427,7 +489,7 @@ class TestAlarms(v2.FunctionalTest,
self.post_json('/alarms', params=json, expect_errors=True, status=400,
headers=self.auth_headers)
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
def test_post_duplicate_time_constraint_name(self):
json = {
@ -456,7 +518,7 @@ class TestAlarms(v2.FunctionalTest,
"Time constraint names must be unique for a given alarm.",
resp.json['error_message']['faultstring'])
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
def test_post_invalid_alarm_time_constraint_duration(self):
json = {
@ -477,7 +539,7 @@ class TestAlarms(v2.FunctionalTest,
self.post_json('/alarms', params=json, expect_errors=True, status=400,
headers=self.auth_headers)
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
def test_post_invalid_alarm_time_constraint_timezone(self):
json = {
@ -499,7 +561,7 @@ class TestAlarms(v2.FunctionalTest,
self.post_json('/alarms', params=json, expect_errors=True, status=400,
headers=self.auth_headers)
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
def test_post_invalid_alarm_period(self):
json = {
@ -517,7 +579,7 @@ class TestAlarms(v2.FunctionalTest,
self.post_json('/alarms', params=json, expect_errors=True, status=400,
headers=self.auth_headers)
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
def test_post_null_threshold_rule(self):
json = {
@ -550,7 +612,7 @@ class TestAlarms(v2.FunctionalTest,
self.assertIn(expected_err_msg,
resp.json['error_message']['faultstring'])
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
def test_post_invalid_alarm_input_state(self):
json = {
@ -570,7 +632,7 @@ class TestAlarms(v2.FunctionalTest,
self.assertIn(expected_err_msg,
resp.json['error_message']['faultstring'])
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
def test_post_invalid_alarm_input_severity(self):
json = {
@ -591,7 +653,7 @@ class TestAlarms(v2.FunctionalTest,
self.assertIn(expected_err_msg,
resp.json['error_message']['faultstring'])
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
def test_post_invalid_alarm_input_comparison_operator(self):
json = {
@ -612,7 +674,7 @@ class TestAlarms(v2.FunctionalTest,
self.assertIn(expected_err_msg,
resp.json['error_message']['faultstring'])
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
def test_post_invalid_alarm_input_type(self):
json = {
@ -633,7 +695,7 @@ class TestAlarms(v2.FunctionalTest,
self.assertIn(expected_err_msg,
resp.json['error_message']['faultstring'])
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
def test_post_invalid_alarm_input_enabled_str(self):
json = {
@ -657,7 +719,7 @@ class TestAlarms(v2.FunctionalTest,
self.assertEqual(expected_err_msg,
resp.json['error_message']['faultstring'])
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
def test_post_invalid_alarm_input_enabled_int(self):
json = {
@ -681,7 +743,7 @@ class TestAlarms(v2.FunctionalTest,
self.assertEqual(expected_err_msg,
resp.json['error_message']['faultstring'])
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
def test_post_invalid_combination_alarm_input_operator(self):
json = {
@ -707,7 +769,7 @@ class TestAlarms(v2.FunctionalTest,
self.assertIn(expected_err_msg,
resp.json['error_message']['faultstring'])
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
def test_post_invalid_alarm_query(self):
json = {
@ -726,7 +788,7 @@ class TestAlarms(v2.FunctionalTest,
self.post_json('/alarms', params=json, expect_errors=True, status=400,
headers=self.auth_headers)
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
def test_post_invalid_alarm_query_field_type(self):
json = {
@ -750,7 +812,7 @@ class TestAlarms(v2.FunctionalTest,
fault_string = resp_string['error_message']['faultstring']
self.assertTrue(fault_string.startswith(expected_error_message))
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
def test_post_invalid_alarm_have_multiple_rules(self):
json = {
@ -771,7 +833,7 @@ class TestAlarms(v2.FunctionalTest,
resp = self.post_json('/alarms', params=json, expect_errors=True,
status=400, headers=self.auth_headers)
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
self.assertEqual('threshold_rule and combination_rule cannot '
'be set at the same time',
resp.json['error_message']['faultstring'])
@ -795,7 +857,7 @@ class TestAlarms(v2.FunctionalTest,
resp = self.post_json('/alarms', params=json, expect_errors=True,
status=400, headers=self.auth_headers)
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
self.assertEqual(
'Unknown argument: "timestamp": '
'not valid for this resource',
@ -834,7 +896,7 @@ class TestAlarms(v2.FunctionalTest,
resp = self.post_json('/alarms', params=json, status=400,
headers=self.auth_headers)
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(4, len(alarms))
self.assertEqual(6, len(alarms))
self.assertEqual(error_message,
resp.json['error_message']['faultstring'])
@ -902,7 +964,7 @@ class TestAlarms(v2.FunctionalTest,
self.post_json('/alarms', params=json, status=201,
headers=self.auth_headers)
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(5, len(alarms))
self.assertEqual(7, len(alarms))
for alarm in alarms:
if alarm.name == 'added_alarm_defaults':
for key in to_check:
@ -1855,18 +1917,18 @@ class TestAlarms(v2.FunctionalTest,
def test_delete_alarm(self):
data = self.get_json('/alarms')
self.assertEqual(4, len(data))
self.assertEqual(6, len(data))
resp = self.delete('/alarms/%s' % data[0]['alarm_id'],
headers=self.auth_headers,
status=204)
self.assertEqual('', resp.body)
alarms = list(self.alarm_conn.get_alarms())
self.assertEqual(3, len(alarms))
self.assertEqual(5, len(alarms))
def test_get_state_alarm(self):
data = self.get_json('/alarms')
self.assertEqual(4, len(data))
self.assertEqual(6, len(data))
resp = self.get_json('/alarms/%s/state' % data[0]['alarm_id'],
headers=self.auth_headers)
@ -1874,7 +1936,7 @@ class TestAlarms(v2.FunctionalTest,
def test_set_state_alarm(self):
data = self.get_json('/alarms')
self.assertEqual(4, len(data))
self.assertEqual(6, len(data))
resp = self.put_json('/alarms/%s/state' % data[0]['alarm_id'],
headers=self.auth_headers,
@ -1886,7 +1948,7 @@ class TestAlarms(v2.FunctionalTest,
def test_set_invalid_state_alarm(self):
data = self.get_json('/alarms')
self.assertEqual(4, len(data))
self.assertEqual(6, len(data))
self.put_json('/alarms/%s/state' % data[0]['alarm_id'],
headers=self.auth_headers,
@ -2286,6 +2348,140 @@ class TestAlarms(v2.FunctionalTest,
'project_id', 'timestamp', 'type',
'user_id']).issubset(payload.keys()))
@mock.patch('ceilometer.keystone_client.get_client')
def test_post_gnocchi_resources_alarm(self, __):
json = {
'enabled': False,
'name': 'name_post',
'state': 'ok',
'type': 'gnocchi_resources_threshold',
'severity': 'critical',
'ok_actions': ['http://something/ok'],
'alarm_actions': ['http://something/alarm'],
'insufficient_data_actions': ['http://something/no'],
'repeat_actions': True,
'gnocchi_resources_threshold_rule': {
'metric': 'ameter',
'comparison_operator': 'le',
'aggregation_method': 'count',
'threshold': 50,
'evaluation_periods': 3,
'granularity': 180,
'resource_type': 'instance',
'resource_constraint': '209ef69c-c10c-4efb-90ff-46f4b2d90d2e',
}
}
with mock.patch('requests.get',
side_effect=requests.ConnectionError()):
resp = self.post_json('/alarms', params=json,
headers=self.auth_headers,
expect_errors=True)
self.assertEqual(503, resp.status_code, resp.body)
with mock.patch('requests.get',
return_value=mock.Mock(status_code=500,
body="my_custom_error",
text="my_custom_error")):
resp = self.post_json('/alarms', params=json,
headers=self.auth_headers,
expect_errors=True)
self.assertEqual(503, resp.status_code, resp.body)
self.assertIn('my_custom_error',
resp.json['error_message']['faultstring'])
cap_result = mock.Mock(status_code=201,
text=jsonutils.dumps(
{'aggregation_methods': ['count']}))
resource_result = mock.Mock(status_code=200, text="blob")
with mock.patch('requests.get', side_effect=[cap_result,
resource_result]
) as gnocchi_get:
self.post_json('/alarms', params=json, headers=self.auth_headers)
expected = [mock.call('http://localhost:8041/v1/capabilities',
headers=mock.ANY),
mock.call('http://localhost:8041/v1/resource/instance/'
'209ef69c-c10c-4efb-90ff-46f4b2d90d2e',
headers=mock.ANY)]
self.assertEqual(expected, gnocchi_get.mock_calls)
alarms = list(self.alarm_conn.get_alarms(enabled=False))
self.assertEqual(1, len(alarms))
self._verify_alarm(json, alarms[0])
@mock.patch('ceilometer.keystone_client.get_client')
def test_post_gnocchi_metrics_alarm(self, __):
json = {
'enabled': False,
'name': 'name_post',
'state': 'ok',
'type': 'gnocchi_metrics_threshold',
'severity': 'critical',
'ok_actions': ['http://something/ok'],
'alarm_actions': ['http://something/alarm'],
'insufficient_data_actions': ['http://something/no'],
'repeat_actions': True,
'gnocchi_metrics_threshold_rule': {
'metrics': ['b3d9d8ab-05e8-439f-89ad-5e978dd2a5eb',
'009d4faf-c275-46f0-8f2d-670b15bac2b0'],
'comparison_operator': 'le',
'aggregation_method': 'count',
'threshold': 50,
'evaluation_periods': 3,
'granularity': 180,
}
}
cap_result = mock.Mock(status_code=200,
text=jsonutils.dumps(
{'aggregation_methods': ['count']}))
with mock.patch('requests.get', return_value=cap_result):
self.post_json('/alarms', params=json, headers=self.auth_headers)
alarms = list(self.alarm_conn.get_alarms(enabled=False))
self.assertEqual(1, len(alarms))
self._verify_alarm(json, alarms[0])
@mock.patch('ceilometer.keystone_client.get_client')
def test_post_gnocchi_resources_alarm_project_constraint(self, __):
json = {
'enabled': False,
'name': 'name_post',
'state': 'ok',
'type': 'gnocchi_resources_threshold',
'severity': 'critical',
'ok_actions': ['http://something/ok'],
'alarm_actions': ['http://something/alarm'],
'insufficient_data_actions': ['http://something/no'],
'repeat_actions': True,
'gnocchi_resources_threshold_rule': {
'metric': 'ameter',
'comparison_operator': 'le',
'aggregation_method': 'count',
'threshold': 50,
'evaluation_periods': 3,
'granularity': 180,
'resource_type': 'instance',
'resource_constraint': u'server_group=as',
}
}
cap_result = mock.Mock(status_code=201,
text=jsonutils.dumps(
{'aggregation_methods': ['count']}))
resource_result = mock.Mock(status_code=200, text="blob")
with mock.patch('requests.get',
side_effect=[cap_result, resource_result]):
self.post_json('/alarms', params=json, headers=self.auth_headers)
alarms = list(self.alarm_conn.get_alarms(enabled=False))
self.assertEqual(1, len(alarms))
json['gnocchi_resources_threshold_rule']['resource_constraint'] += (
u'\u2227project_id=%s' % self.auth_headers['X-Project-Id'])
self._verify_alarm(json, alarms[0])
class TestAlarmsQuotas(v2.FunctionalTest,
tests_db.MixinTestsWithBackendScenarios):

6
doc/source/webapi/v2.rst
View File

@ -100,6 +100,12 @@ Alarms
.. autotype:: ceilometer.api.controllers.v2.alarm_rules.combination.AlarmCombinationRule
:members:
.. autotype:: ceilometer.api.controllers.v2.alarm_rules.gnocchi.AlarmGnocchiMetricOfResourcesThresholdRule
:members:
.. autotype:: ceilometer.api.controllers.v2.alarm_rules.gnocchi.AlarmGnocchiMetricsThresholdRule
:members:
.. autotype:: ceilometer.api.controllers.v2.alarms.AlarmTimeConstraint
:members:

4
setup.cfg
View File

@ -287,10 +287,14 @@ ceilometer.event.publisher =
ceilometer.alarm.rule =
threshold = ceilometer.api.controllers.v2.alarm_rules.threshold:AlarmThresholdRule
combination = ceilometer.api.controllers.v2.alarm_rules.combination:AlarmCombinationRule
gnocchi_resources_threshold = ceilometer.api.controllers.v2.alarm_rules.gnocchi:AlarmGnocchiMetricOfResourcesThresholdRule
gnocchi_metrics_threshold = ceilometer.api.controllers.v2.alarm_rules.gnocchi:AlarmGnocchiMetricsThresholdRule
ceilometer.alarm.evaluator =
threshold = ceilometer.alarm.evaluator.threshold:ThresholdEvaluator
combination = ceilometer.alarm.evaluator.combination:CombinationEvaluator
gnocchi_resources_threshold = ceilometer.alarm.evaluator.gnocchi:GnocchiThresholdEvaluator
gnocchi_metrics_threshold = ceilometer.alarm.evaluator.gnocchi:GnocchiThresholdEvaluator
ceilometer.alarm.evaluator_service =
default = ceilometer.alarm.service:AlarmEvaluationService