73 lines
2.5 KiB
Python
73 lines
2.5 KiB
Python
#
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# Copyright 2013 IBM Corp
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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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from oslo_utils import timeutils
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from ceilometer import dispatcher
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from ceilometer.i18n import _LE
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from ceilometer import storage
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LOG = log.getLogger(__name__)
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class MeterDatabaseDispatcher(dispatcher.MeterDispatcherBase):
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"""Dispatcher class for recording metering data into database.
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The dispatcher class which records each meter into a database configured
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in ceilometer configuration file.
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To enable this dispatcher, the following section needs to be present in
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ceilometer.conf file
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[DEFAULT]
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meter_dispatchers = database
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"""
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@property
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def conn(self):
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if not hasattr(self, "_conn"):
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self._conn = storage.get_connection_from_config(
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self.conf)
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return self._conn
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def record_metering_data(self, data):
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# We may have receive only one counter on the wire
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if not data:
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return
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if not isinstance(data, list):
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data = [data]
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for meter in data:
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LOG.debug(
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'metering data %(counter_name)s '
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'for %(resource_id)s @ %(timestamp)s: %(counter_volume)s',
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{'counter_name': meter['counter_name'],
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'resource_id': meter['resource_id'],
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'timestamp': meter.get('timestamp', 'NO TIMESTAMP'),
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'counter_volume': meter['counter_volume']})
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# Convert the timestamp to a datetime instance.
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# Storage engines are responsible for converting
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# that value to something they can store.
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if meter.get('timestamp'):
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ts = timeutils.parse_isotime(meter['timestamp'])
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meter['timestamp'] = timeutils.normalize_time(ts)
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try:
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self.conn.record_metering_data_batch(data)
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except Exception as err:
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LOG.error(_LE('Failed to record %(len)s: %(err)s.'),
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{'len': len(data), 'err': err})
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raise
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