6733c064d9
This patch set modifies lines which are importing objects instead of modules. As per openstack import guide lines, user should import modules in a file not objects. http://docs.openstack.org/developer/hacking/#imports Change-Id: I8af9278ffefcc20cf7447ecff7470217cd0e4632
82 lines
2.6 KiB
Python
82 lines
2.6 KiB
Python
# (C) Copyright 2016 Hewlett Packard Enterprise Development Company LP
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain 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,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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from oslo_log import log
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from monasca_common.kafka import consumer
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LOG = log.getLogger(__name__)
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class Persister(object):
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def __init__(self, kafka_conf, zookeeper_conf, repository):
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self._data_points = []
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self._kafka_topic = kafka_conf.topic
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self._database_batch_size = kafka_conf.database_batch_size
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self._consumer = consumer.KafkaConsumer(
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kafka_conf.uri,
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zookeeper_conf.uri,
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kafka_conf.zookeeper_path,
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kafka_conf.group_id,
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kafka_conf.topic,
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repartition_callback=self._flush,
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commit_callback=self._flush,
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commit_timeout=kafka_conf.max_wait_time_seconds)
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self.repository = repository()
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def _flush(self):
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if not self._data_points:
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return
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try:
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self.repository.write_batch(self._data_points)
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LOG.info("Processed {} messages from topic '{}'".format(
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len(self._data_points), self._kafka_topic))
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self._data_points = []
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self._consumer.commit()
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except Exception:
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LOG.exception("Error writing to database: {}"
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.format(self._data_points))
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raise
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def run(self):
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try:
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for raw_message in self._consumer:
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try:
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message = raw_message[1]
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data_point = self.repository.process_message(message)
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self._data_points.append(data_point)
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except Exception:
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LOG.exception('Error processing message. Message is '
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'being dropped. {}'.format(message))
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if len(self._data_points) >= self._database_batch_size:
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self._flush()
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except Exception:
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LOG.exception(
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'Persister encountered fatal exception processing '
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'messages. '
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'Shutting down all threads and exiting')
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os._exit(1)
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