2ea548f10f
This script is helpful for emulate real workflow. Generate and send sample batches with different resources and configurable counter_name. Change-Id: I3ab6472c99abfe28e8c200ada2da91e97abed1d2
131 lines
3.9 KiB
Python
131 lines
3.9 KiB
Python
# 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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"""Command line tool for sending test data for Ceilometer via oslo.messaging.
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Usage:
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Send messages with samples generated by make_test_data
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source .tox/py27/bin/activate
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./tools/send_test_data.py --count 1000 --resources_count 10 --topic metering
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"""
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import argparse
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import datetime
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import json
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import random
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import uuid
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import make_test_data
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from oslo_context import context
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from ceilometer import messaging
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from ceilometer import service
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def send_batch(rpc_client, topic, batch):
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rpc_client.prepare(topic=topic).cast(context.RequestContext(),
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'record_metering_data', data=batch)
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def get_rpc_client(config_file):
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service.prepare_service(argv=['/', '--config-file', config_file])
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transport = messaging.get_transport()
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rpc_client = messaging.get_rpc_client(transport, version='1.0')
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return rpc_client
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def generate_data(rpc_client, make_data_args, samples_count,
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batch_size, resources_count, topic):
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make_data_args.interval = 1
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make_data_args.start = (datetime.datetime.utcnow() -
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datetime.timedelta(minutes=samples_count))
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make_data_args.end = datetime.datetime.utcnow()
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make_data_args.resource_id = None
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resources_list = [str(uuid.uuid4())
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for _ in xrange(resources_count)]
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resource_samples = {resource: 0 for resource in resources_list}
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batch = []
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count = 0
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for sample in make_test_data.make_test_data(**make_data_args.__dict__):
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count += 1
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resource = resources_list[random.randint(0, len(resources_list) - 1)]
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resource_samples[resource] += 1
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sample['resource_id'] = resource
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batch.append(sample)
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if len(batch) == batch_size:
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send_batch(rpc_client, topic, batch)
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batch = []
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if count == samples_count:
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send_batch(rpc_client, topic, batch)
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return resource_samples
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send_batch(rpc_client, topic, batch)
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return resource_samples
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def get_parser():
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parser = argparse.ArgumentParser()
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parser.add_argument(
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'--batch-size',
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dest='batch_size',
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type=int,
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default=100
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)
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parser.add_argument(
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'--config-file',
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default='/etc/ceilometer/ceilometer.conf'
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)
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parser.add_argument(
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'--topic',
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default='perfmetering'
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)
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parser.add_argument(
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'--samples-count',
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dest='samples_count',
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type=int,
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default=1000
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)
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parser.add_argument(
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'--resources-count',
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dest='resources_count',
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type=int,
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default=100
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)
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parser.add_argument(
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'--result-directory',
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dest='result_dir',
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default='/tmp'
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)
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return parser
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def main():
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args = get_parser().parse_known_args()[0]
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make_data_args = make_test_data.get_parser().parse_known_args()[0]
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rpc_client = get_rpc_client(args.config_file)
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result_dir = args.result_dir
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del args.config_file
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del args.result_dir
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resource_writes = generate_data(rpc_client, make_data_args,
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**args.__dict__)
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result_file = "%s/sample-by-resource-%s" % (result_dir,
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random.getrandbits(32))
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with open(result_file, 'w') as f:
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f.write(json.dumps(resource_writes))
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return result_file
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if __name__ == '__main__':
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main()
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