71 lines
2.4 KiB
Python
71 lines
2.4 KiB
Python
#
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# Copyright 2015 NEC Corporation.
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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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import cotyledon
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from oslo_config import cfg
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from oslo_log import log
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import oslo_messaging
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from aodh.evaluator import event
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from aodh import messaging
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from aodh import storage
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LOG = log.getLogger(__name__)
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OPTS = [
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cfg.StrOpt('event_alarm_topic',
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default='alarm.all',
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deprecated_group='DEFAULT',
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help='The topic that aodh uses for event alarm evaluation.'),
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cfg.IntOpt('batch_size',
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default=1,
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help='Number of notification messages to wait before '
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'dispatching them.'),
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cfg.IntOpt('batch_timeout',
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help='Number of seconds to wait before dispatching samples '
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'when batch_size is not reached (None means indefinitely).'),
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]
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class EventAlarmEndpoint(object):
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def __init__(self, evaluator):
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self.evaluator = evaluator
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def sample(self, notifications):
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LOG.debug('Received %s messages in batch.', len(notifications))
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for notification in notifications:
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self.evaluator.evaluate_events(notification['payload'])
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class EventAlarmEvaluationService(cotyledon.Service):
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def __init__(self, worker_id, conf):
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super(EventAlarmEvaluationService, self).__init__(worker_id)
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self.conf = conf
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self.storage_conn = storage.get_connection_from_config(self.conf)
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self.evaluator = event.EventAlarmEvaluator(self.conf)
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self.listener = messaging.get_batch_notification_listener(
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messaging.get_transport(self.conf),
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[oslo_messaging.Target(
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topic=self.conf.listener.event_alarm_topic)],
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[EventAlarmEndpoint(self.evaluator)], False,
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self.conf.listener.batch_size,
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self.conf.listener.batch_timeout)
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self.listener.start()
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def terminate(self):
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self.listener.stop()
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self.listener.wait()
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