86 lines
3.2 KiB
Python
86 lines
3.2 KiB
Python
# Copyright 2017 - Nokia
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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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from oslo_log import log
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import oslo_messaging as oslo_m
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from oslo_service import service as os_service
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from oslo_utils import importutils
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from vitrage import messaging
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from vitrage.opts import register_opts
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LOG = log.getLogger(__name__)
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class MachineLearningService(os_service.Service):
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def __init__(self, conf):
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super(MachineLearningService, self).__init__()
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self.conf = conf
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self.machine_learning_plugins = self.get_machine_learning_plugins(conf)
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transport = messaging.get_transport(conf)
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target = \
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oslo_m.Target(topic=conf.machine_learning.machine_learning_topic)
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self.listener = messaging.get_notification_listener(
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transport, [target],
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[VitrageEventEndpoint(self.machine_learning_plugins)])
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def start(self):
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LOG.info("Vitrage Machine Learning Service - Starting...")
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super(MachineLearningService, self).start()
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self.listener.start()
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LOG.info("Vitrage Machine Learning Service - Started!")
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def stop(self, graceful=False):
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LOG.info("Vitrage Machine Learning Service - Stopping...")
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self.listener.stop()
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self.listener.wait()
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super(MachineLearningService, self).stop(graceful)
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LOG.info("Vitrage Machine Learning Service - Stopped!")
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@staticmethod
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def get_machine_learning_plugins(conf):
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machine_learning_plugins = []
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machine_learning_plugins_names = \
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conf.machine_learning.plugins
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if not machine_learning_plugins_names:
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LOG.info('There are no Machine Learning plugins in configuration')
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return []
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for machine_learning_plugin_name in machine_learning_plugins_names:
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register_opts(conf, machine_learning_plugin_name,
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conf.machine_learning.plugins_path)
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LOG.info('Machine Learning plugin %s started',
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machine_learning_plugin_name)
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machine_learning_plugins.append(importutils.import_object(
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conf[machine_learning_plugin_name].plugin_path,
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conf))
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return machine_learning_plugins
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class VitrageEventEndpoint(object):
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def __init__(self, machine_learning_plugins):
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self.machine_learning_plugins = machine_learning_plugins
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def info(self, ctxt, publisher_id, event_type, payload, metadata):
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"""Endpoint for alarm notifications"""
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LOG.info('Vitrage Event Info: event_type %s', event_type)
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LOG.info('Vitrage Event Info: payload %s', payload)
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for plugin in self.machine_learning_plugins:
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plugin.process_event(payload, event_type)
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