73 lines
2.2 KiB
Python
73 lines
2.2 KiB
Python
#!/usr/bin/env python
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# Copyright (c) 2016 Hewlett Packard Enterprise Development Company, L.P.
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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 json
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import time
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import kafka
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from monasca_analytics.sink import base
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import monasca_analytics.sink.sink_config_validator as validator
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class KafkaSink(base.BaseSink):
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"""A Kafka sink for dstream"""
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def __init__(self, _id, _config):
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self._topic = None
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self._producer = None
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super(KafkaSink, self).__init__(_id, _config)
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host = _config["params"]["host"]
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port = _config["params"]["port"]
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self._topic = _config["params"]["topic"]
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self._producer = kafka.KafkaProducer(bootstrap_servers="{0}:{1}"
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.format(host, port))
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def sink_dstream(self, dstream):
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dstream.foreachRDD(self._persist)
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def _persist(self, _, rdd):
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rdd_entries = rdd.collect()
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for rdd_entry in rdd_entries:
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self._producer.send(self._topic,
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json.dumps(rdd_entry))
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self._producer.flush()
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def sink_ml(self, voter_id, matrix):
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output = dict(
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id=voter_id,
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matrix=matrix,
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timestamp=time.time()
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)
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self._producer.send(self._topic,
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json.dumps(output))
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@staticmethod
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def validate_config(_config):
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validator.validate_kafka_sink_config(_config)
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@staticmethod
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def get_default_config():
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return {
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"module": KafkaSink.__name__,
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"params": {
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"host": "localhost",
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"port": 9092,
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"topic": "transformed_alerts"
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}
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}
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