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kinesis_stream.py
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kinesis_stream.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import datetime
import boto.ec2.cloudwatch
import blackbird.plugins.base
class ConcreteJob(blackbird.plugins.base.JobBase):
def __init__(self, options, queue=None, logger=None):
super(ConcreteJob, self).__init__(options, queue, logger)
self.metrics_config = [
{'PutRecord.Bytes': 'Sum'},
{'PutRecord.Latency': 'Average'},
{'PutRecord.Success': 'Sum'},
{'GetRecords.Bytes': 'Sum'},
{'GetRecords.IteratorAgeMilliseconds': 'Average'},
{'GetRecords.Latency': 'Average'},
{'GetRecords.Success': 'Sum'},
]
self.per_second_key_mapping = {
'PutRecord.Bytes': 'PutRecordBytes.PerSecond',
'PutRecord.Success': 'PutRecordSuccess.PerSecond',
'GetRecords.Bytes': 'GetRecordsBytes.PerSecond',
'GetRecords.Success': 'GetRecordsSuccess.PerSecond'
}
def _create_connection(self):
conn = boto.ec2.cloudwatch.connect_to_region(
region_name=self.options.get('region_name'),
aws_access_key_id=self.options.get(
'aws_access_key_id'
),
aws_secret_access_key=self.options.get(
'aws_secret_access_key'
)
)
return conn
def _enqueue(self, item):
self.queue.put(item, block=False)
self.logger.debug(
'Inserted to queue {key}:{value}'
''.format(
key=item.key,
value=item.value
)
)
def _fetch_metrics(self):
conn = self._create_connection()
result = dict()
period = int(self.options.get('interval', 300))
if period <= 300:
period = 300
delta_seconds = period
end_time = datetime.datetime.utcnow()
start_time = end_time - datetime.timedelta(
seconds=delta_seconds
)
dimensions = {
'StreamName': self.options.get('stream_name')
}
for entry in self.metrics_config:
metric_name = entry.keys()[0]
statistics = entry.values()[0]
response = conn.get_metric_statistics(
period=period,
start_time=start_time,
end_time=end_time,
metric_name=metric_name,
namespace='AWS/Kinesis',
statistics=statistics,
dimensions=dimensions,
)
try:
result_key = '{0}.{1}'.format(metric_name, statistics)
if len(response) <= 0:
result[result_key] = None
else:
result[result_key] = (
response[0][statistics]
)
if (
metric_name in self.per_second_key_mapping and
len(response) > 0
):
result[
self.per_second_key_mapping[metric_name]
] = response[0][statistics] / period
except Exception as exception:
self.logger.error(
exception.__str__()
)
conn.close()
return result
def build_items(self):
"""
Main loop.
"""
raw_items = self._fetch_metrics()
for key, value in raw_items.items():
item = KinesisStreamItem(
key=key,
# It's not good to convert str type on queueing(building) side.
value=str(value),
host=self.options.get('hostname')
)
self._enqueue(item)
class Validator(blackbird.plugins.base.ValidatorBase):
"""
Validate configuration object.
"""
def __init__(self):
self.__spec = None
@property
def spec(self):
self.__spec = (
"[{0}]".format(__name__),
"region_name = string()",
"aws_access_key_id = string()",
"aws_secret_access_key = string()",
"stream_name = string()",
"hostname = string()"
)
return self.__spec
class KinesisStreamItem(blackbird.plugins.base.ItemBase):
"""
Enqueued item.
"""
def __init__(self, key, value, host):
super(KinesisStreamItem, self).__init__(key, value, host)
self.__data = dict()
self._generate()
@property
def data(self):
return self.__data
def _generate(self):
self.__data['key'] = 'cloudwatch.kinesis.stream.{0}'.format(self.key)
self.__data['value'] = self.value
self.__data['host'] = self.host
self.__data['clock'] = self.clock
if __name__ == '__main__':
import json
import logging
OPTIONS = {
'region_name': 'us-east-1',
'aws_access_key_id': 'YOUR_AWS_ACCESS_JEY_ID',
'aws_secret_access_key': 'YOUR_AWS_SECRET_ACCESS_KEY',
'stream_name': 'YOUR_KINESIS_STREAM_NAME',
}
JOB = ConcreteJob(
options=OPTIONS,
logger=logging
)
print(json.dumps(JOB._fetch_metrics()))