104f33f5bd
Blueprint: oslo-multi-publisher Change-Id: I46768ac99dff2d5c8597916584ecef553e151531 Signed-off-by: Julien Danjou <julien@danjou.info>
84 lines
2.5 KiB
Python
84 lines
2.5 KiB
Python
# -*- encoding: utf-8 -*-
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#
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# Copyright © 2012 New Dream Network, LLC (DreamHost)
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#
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# Author: Doug Hellmann <doug.hellmann@dreamhost.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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"""Publish a counter using the preferred RPC mechanism.
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"""
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import itertools
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from oslo.config import cfg
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from ceilometer.collector import meter as meter_api
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from ceilometer.openstack.common import log
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from ceilometer.openstack.common import rpc
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from ceilometer import publisher
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LOG = log.getLogger(__name__)
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PUBLISH_OPTS = [
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cfg.StrOpt('metering_topic',
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default='metering',
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help='the topic ceilometer uses for metering messages',
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),
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]
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def register_opts(config):
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"""Register the options for publishing metering messages.
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"""
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config.register_opts(PUBLISH_OPTS)
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register_opts(cfg.CONF)
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class MeterPublisher(publisher.PublisherBase):
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def publish_counters(self, context, counters, source):
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"""Send a metering message for publishing
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:param context: Execution context from the service or RPC call
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:param counter: Counter from pipeline after transformation
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:param source: counter source
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"""
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meters = [
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meter_api.meter_message_from_counter(counter,
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cfg.CONF.metering_secret,
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source)
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for counter in counters
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]
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topic = cfg.CONF.metering_topic
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msg = {
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'method': 'record_metering_data',
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'version': '1.0',
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'args': {'data': meters},
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}
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LOG.debug('PUBLISH: %s', str(msg))
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rpc.cast(context, topic, msg)
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for meter_name, meter_list in itertools.groupby(
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sorted(meters, key=lambda m: m['counter_name']),
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lambda m: m['counter_name']):
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msg = {
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'method': 'record_metering_data',
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'version': '1.0',
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'args': {'data': list(meter_list)},
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}
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rpc.cast(context, topic + '.' + meter_name, msg)
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