33135d8053
similar to make_test_data.py, this script generates a set of events and writes them to the database (defined in ceilometer.conf). configurable options: - start - number of days in past to start test data - end - number of days into the future to start test data - interval - period between events, in minutes - event_types - number of unique event_types Change-Id: I80e023a82f7d5129649a5b1de5256e41e901e3c1
130 lines
3.7 KiB
Python
Executable File
130 lines
3.7 KiB
Python
Executable File
#!/usr/bin/env python
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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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"""Command line tool for creating event test data for Ceilometer.
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Usage:
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Generate testing data for e.g. for default time span
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source .tox/py27/bin/activate
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./tools/make_test_event_data.py --event_types 3
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"""
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from __future__ import print_function
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import argparse
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import datetime
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import logging
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import random
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import sys
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import uuid
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from oslo.config import cfg
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from oslo.utils import timeutils
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from ceilometer.event.storage import models
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from ceilometer import storage
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def make_test_data(conn, start, end, interval, event_types):
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# Compute start and end timestamps for the new data.
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if isinstance(start, datetime.datetime):
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timestamp = start
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else:
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timestamp = timeutils.parse_strtime(start)
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if not isinstance(end, datetime.datetime):
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end = timeutils.parse_strtime(end)
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increment = datetime.timedelta(minutes=interval)
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print('Adding new events')
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n = 0
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while timestamp <= end:
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data = []
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for i in range(event_types):
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traits = [models.Trait('id1_%d' % i, 1, uuid.uuid4()),
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models.Trait('id2_%d' % i, 2, random.randint(1,10)),
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models.Trait('id3_%d' % i, 3, random.random()),
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models.Trait('id4_%d' % i, 4, timestamp)]
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data.append(models.Event(uuid.uuid4(),
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'event_type%d' % i,
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timestamp,
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traits))
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n += 1
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conn.record_events(data)
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timestamp = timestamp + increment
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print('Added %d new events' % n)
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def main():
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cfg.CONF([], project='ceilometer')
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parser = argparse.ArgumentParser(
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description='generate event data',
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)
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parser.add_argument(
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'--interval',
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default=10,
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type=int,
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help='The period between events, in minutes.',
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)
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parser.add_argument(
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'--start',
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default=31,
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type=int,
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help='The number of days in the past to start timestamps.',
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)
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parser.add_argument(
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'--end',
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default=2,
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type=int,
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help='The number of days into the future to continue timestamps.',
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)
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parser.add_argument(
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'--event_types',
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default=3,
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type=int,
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help='The number of unique event_types.',
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)
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args = parser.parse_args()
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# Set up logging to use the console
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console = logging.StreamHandler(sys.stderr)
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console.setLevel(logging.DEBUG)
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formatter = logging.Formatter('%(message)s')
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console.setFormatter(formatter)
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root_logger = logging.getLogger('')
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root_logger.addHandler(console)
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root_logger.setLevel(logging.DEBUG)
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# Connect to the event database
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conn = storage.get_connection_from_config(cfg.CONF, 'event')
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# Compute the correct time span
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start = datetime.datetime.utcnow() - datetime.timedelta(days=args.start)
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end = datetime.datetime.utcnow() + datetime.timedelta(days=args.end)
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make_test_data(conn=conn,
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start=start,
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end=end,
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interval=args.interval,
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event_types=args.event_types
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)
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if __name__ == '__main__':
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main()
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