Add repeat_actions to alarm
If a user want to be sure that they don't miss a notification it can set repeat_actions to true in a alarm. All actions will be called of each evaluation of the alarm instead of each change state of the alarm. Change-Id: Ibed79db99531a702c99a0b3746a76586d927eb06
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@ -124,13 +124,16 @@ class Evaluator(object):
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LOG.exception(_('alarm stats retrieval failed'))
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return []
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def _update(self, alarm, state, reason):
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def _refresh(self, alarm, state, reason):
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"""Refresh alarm state."""
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LOG.info(_('alarm %(id)s transitioning to %(state)s because '
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'%(reason)s') % {'id': alarm.alarm_id, 'state': state,
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'reason': reason})
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try:
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self._client.alarms.update(alarm.alarm_id, **dict(state=state))
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if alarm.state != state:
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LOG.info(_('alarm %(id)s transitioning to %(state)s because '
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'%(reason)s') % {'id': alarm.alarm_id,
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'state': state,
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'reason': reason})
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self._client.alarms.update(alarm.alarm_id, **dict(state=state))
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alarm.state = state
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if self.notifier:
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self.notifier.notify(alarm, state, reason)
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@ -146,7 +149,7 @@ class Evaluator(object):
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sufficient = len(statistics) >= self.quorum
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if not sufficient and alarm.state != UNKNOWN:
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reason = _('%d datapoints are unknown') % alarm.evaluation_periods
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self._update(alarm, UNKNOWN, reason)
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self._refresh(alarm, UNKNOWN, reason)
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return sufficient
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@staticmethod
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@ -155,10 +158,16 @@ class Evaluator(object):
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count = len(statistics)
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disposition = 'inside' if state == OK else 'outside'
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last = getattr(statistics[-1], alarm.statistic)
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return (_('Transition to %(state)s due to %(count)d samples'
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transition = alarm.state != state
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if transition:
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return (_('Transition to %(state)s due to %(count)d samples'
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' %(disposition)s threshold, most recent: %(last)s') %
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{'state': state, 'count': count,
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'disposition': disposition, 'last': last})
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return (_('Remaining as %(state)s due to %(count)d samples'
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' %(disposition)s threshold, most recent: %(last)s') %
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{'state': state, 'count': count, 'disposition': disposition,
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'last': last})
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{'state': state, 'count': count,
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'disposition': disposition, 'last': last})
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def _transition(self, alarm, statistics, compared):
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"""Transition alarm state if necessary.
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@ -175,15 +184,19 @@ class Evaluator(object):
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"""
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distilled = all(compared)
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unequivocal = distilled or not any(compared)
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unknown = alarm.state == UNKNOWN
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continuous = alarm.repeat_actions
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if unequivocal:
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state = ALARM if distilled else OK
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if alarm.state != state:
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reason = self._reason(alarm, statistics, distilled, state)
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self._update(alarm, state, reason)
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elif alarm.state == UNKNOWN:
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state = ALARM if compared[-1] else OK
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reason = self._reason(alarm, statistics, distilled, state)
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self._update(alarm, state, reason)
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if alarm.state != state or continuous:
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self._refresh(alarm, state, reason)
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elif unknown or continuous:
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trending_state = ALARM if compared[-1] else OK
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state = trending_state if unknown else alarm.state
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reason = self._reason(alarm, statistics, distilled, state)
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self._refresh(alarm, state, reason)
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def evaluate(self):
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"""Evaluate the alarms assigned to this evaluator."""
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@ -782,6 +782,9 @@ class Alarm(_Base):
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insufficient_data_actions = [wtypes.text]
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"The actions to do when alarm state change to insufficient data"
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repeat_actions = bool
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"The actions should be re-triggered on each evaluation cycle"
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matching_metadata = {wtypes.text: wtypes.text}
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"The matching_metadata of the alarm"
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@ -809,7 +812,8 @@ class Alarm(_Base):
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alarm_actions=["http://site:8000/alarm"],
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insufficient_data_actions=["http://site:8000/nodata"],
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matching_metadata={"key_name":
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"key_value"}
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"key_value"},
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repeat_actions=False,
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)
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@ -516,7 +516,8 @@ class Connection(base.Connection):
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alarm_actions=row.alarm_actions,
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insufficient_data_actions=
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row.insufficient_data_actions,
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matching_metadata=row.matching_metadata)
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matching_metadata=row.matching_metadata,
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repeat_actions=row.repeat_actions)
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@staticmethod
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def _alarm_model_to_row(alarm, row=None):
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@ -263,6 +263,8 @@ class Alarm(Model):
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:param insufficient_data_actions: the list of webhooks to call when
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entering the insufficient data state
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:param matching_metadata: the key/values of metadata to match on.
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:param repeat_actions: Is the actions should be triggered on each
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alarm evaluation.
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"""
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def __init__(self, name, counter_name,
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comparison_operator, threshold, statistic,
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@ -278,7 +280,8 @@ class Alarm(Model):
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ok_actions=[],
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alarm_actions=[],
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insufficient_data_actions=[],
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matching_metadata={}
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matching_metadata={},
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repeat_actions=False
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):
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if not description:
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# make a nice user friendly description by default
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@ -307,4 +310,5 @@ class Alarm(Model):
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alarm_actions=alarm_actions,
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insufficient_data_actions=
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insufficient_data_actions,
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repeat_actions=repeat_actions,
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matching_metadata=matching_metadata)
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@ -0,0 +1,41 @@
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# -*- encoding: utf-8 -*-
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#
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# Copyright © 2013 eNovance <licensing@enovance.com>
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#
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# Authors: Mehdi Abaakouk <mehdi.abaakouk@enovance.com>
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#
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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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"""Add column repeat_alarms
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Revision ID: 43b1a023dfaa
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Revises: None
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Create Date: 2013-07-29 17:25:53.931326
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"""
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# revision identifiers, used by Alembic.
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revision = '43b1a023dfaa'
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down_revision = None
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from alembic import op
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import sqlalchemy as sa
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def upgrade():
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op.add_column('alarm', sa.Column('repeat_actions',
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sa.Boolean,
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server_default=sa.sql.expression.false()))
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def downgrade():
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op.drop_column('alarm', 'repeat_actions')
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@ -190,6 +190,7 @@ class Alarm(Base):
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ok_actions = Column(JSONEncodedDict)
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alarm_actions = Column(JSONEncodedDict)
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insufficient_data_actions = Column(JSONEncodedDict)
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repeat_actions = Column(Boolean)
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matching_metadata = Column(JSONEncodedDict)
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@ -188,6 +188,69 @@ class TestEvaluate(base.TestCase):
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[])
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self.assertEqual(self.notifier.notify.call_args_list, [])
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def test_equivocal_from_known_state_and_repeat_actions(self):
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self._set_all_alarms('ok')
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self.alarms[1].repeat_actions = True
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with mock.patch('ceilometerclient.client.get_client',
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return_value=self.api_client):
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avgs = [self._get_stat('avg', self.alarms[0].threshold + v)
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for v in xrange(5)]
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maxs = [self._get_stat('max', self.alarms[1].threshold - v)
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for v in xrange(-1, 3)]
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self.api_client.statistics.list.side_effect = [avgs, maxs]
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self.evaluator.evaluate()
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self._assert_all_alarms('ok')
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self.assertEqual(self.api_client.alarms.update.call_args_list,
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[])
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reason = 'Remaining as ok due to 4 samples inside' \
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' threshold, most recent: 8.0'
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expected = [mock.call(self.alarms[1], 'ok', reason)]
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self.assertEqual(self.notifier.notify.call_args_list, expected)
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def test_unequivocal_from_known_state_and_repeat_actions(self):
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self._set_all_alarms('alarm')
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self.alarms[1].repeat_actions = True
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with mock.patch('ceilometerclient.client.get_client',
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return_value=self.api_client):
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avgs = [self._get_stat('avg', self.alarms[0].threshold + v)
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for v in xrange(1, 6)]
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maxs = [self._get_stat('max', self.alarms[1].threshold - v)
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for v in xrange(4)]
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self.api_client.statistics.list.side_effect = [avgs, maxs]
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self.evaluator.evaluate()
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self._assert_all_alarms('alarm')
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self.assertEqual(self.api_client.alarms.update.call_args_list,
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[])
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reason = 'Remaining as alarm due to 4 samples outside' \
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' threshold, most recent: 7.0'
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expected = [mock.call(self.alarms[1], 'alarm', reason)]
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self.assertEqual(self.notifier.notify.call_args_list, expected)
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def test_state_change_and_repeat_actions(self):
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self._set_all_alarms('ok')
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self.alarms[0].repeat_actions = True
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self.alarms[1].repeat_actions = True
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with mock.patch('ceilometerclient.client.get_client',
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return_value=self.api_client):
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avgs = [self._get_stat('avg', self.alarms[0].threshold + v)
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for v in xrange(1, 6)]
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maxs = [self._get_stat('max', self.alarms[1].threshold - v)
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for v in xrange(4)]
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self.api_client.statistics.list.side_effect = [avgs, maxs]
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self.evaluator.evaluate()
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self._assert_all_alarms('alarm')
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expected = [mock.call(alarm.alarm_id, state='alarm')
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for alarm in self.alarms]
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update_calls = self.api_client.alarms.update.call_args_list
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self.assertEqual(update_calls, expected)
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reasons = ['Transition to alarm due to 5 samples outside'
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' threshold, most recent: 85.0',
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'Transition to alarm due to 4 samples outside'
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' threshold, most recent: 7.0']
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expected = [mock.call(alarm, 'alarm', reason)
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for alarm, reason in zip(self.alarms, reasons)]
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self.assertEqual(self.notifier.notify.call_args_list, expected)
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def test_equivocal_from_unknown(self):
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self._set_all_alarms('insufficient data')
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with mock.patch('ceilometerclient.client.get_client',
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@ -53,6 +53,7 @@ class TestAlarms(FunctionalTest,
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counter_name='meter.test',
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comparison_operator='gt', threshold=2.0,
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statistic='avg',
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repeat_actions=True,
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user_id=self.auth_headers['X-User-Id'],
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project_id=self.auth_headers['X-Project-Id']),
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Alarm(name='name2',
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@ -94,6 +95,7 @@ class TestAlarms(FunctionalTest,
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self.assertEquals(one['name'], 'name1')
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self.assertEquals(one['counter_name'], 'meter.test')
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self.assertEquals(one['alarm_id'], alarms[0]['alarm_id'])
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self.assertEquals(one['repeat_actions'], alarms[0]['repeat_actions'])
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def test_post_invalid_alarm(self):
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json = {
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@ -115,15 +117,18 @@ class TestAlarms(FunctionalTest,
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'comparison_operator': 'gt',
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'threshold': 2.0,
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'statistic': 'avg',
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'repeat_actions': True,
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}
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self.post_json('/alarms', params=json, status=200,
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headers=self.auth_headers)
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alarms = list(self.conn.get_alarms())
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self.assertEquals(4, len(alarms))
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self.assertEquals(alarms[3].repeat_actions, True)
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def test_put_alarm(self):
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json = {
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'name': 'renamed_alarm',
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'repeat_actions': True,
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}
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data = self.get_json('/alarms',
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q=[{'field': 'name',
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@ -137,6 +142,7 @@ class TestAlarms(FunctionalTest,
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headers=self.auth_headers)
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alarm = list(self.conn.get_alarms(alarm_id=alarm_id))[0]
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self.assertEquals(alarm.name, json['name'])
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self.assertEquals(alarm.repeat_actions, json['repeat_actions'])
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def test_put_alarm_wrong_field(self):
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# Note: wsme will ignore unknown fields so will just not appear in
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