panko/tools/make_test_event_data.py

129 lines
3.7 KiB
Python
Executable File

#!/usr/bin/env python
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
"""Command line tool for creating event test data for Ceilometer.
Usage:
Generate testing data for e.g. for default time span
source .tox/py27/bin/activate
./tools/make_test_event_data.py --event_types 3
"""
from __future__ import print_function
import argparse
import datetime
import logging
import random
import sys
import uuid
from oslo.config import cfg
from oslo_utils import timeutils
from ceilometer.event.storage import models
from ceilometer import storage
def make_test_data(conn, start, end, interval, event_types):
# Compute start and end timestamps for the new data.
if isinstance(start, datetime.datetime):
timestamp = start
else:
timestamp = timeutils.parse_strtime(start)
if not isinstance(end, datetime.datetime):
end = timeutils.parse_strtime(end)
increment = datetime.timedelta(minutes=interval)
print('Adding new events')
n = 0
while timestamp <= end:
data = []
for i in range(event_types):
traits = [models.Trait('id1_%d' % i, 1, str(uuid.uuid4())),
models.Trait('id2_%d' % i, 2, random.randint(1, 10)),
models.Trait('id3_%d' % i, 3, random.random()),
models.Trait('id4_%d' % i, 4, timestamp)]
data.append(models.Event(str(uuid.uuid4()),
'event_type%d' % i,
timestamp,
traits))
n += 1
conn.record_events(data)
timestamp = timestamp + increment
print('Added %d new events' % n)
def main():
cfg.CONF([], project='ceilometer')
parser = argparse.ArgumentParser(
description='generate event data',
)
parser.add_argument(
'--interval',
default=10,
type=int,
help='The period between events, in minutes.',
)
parser.add_argument(
'--start',
default=31,
type=int,
help='The number of days in the past to start timestamps.',
)
parser.add_argument(
'--end',
default=2,
type=int,
help='The number of days into the future to continue timestamps.',
)
parser.add_argument(
'--event_types',
default=3,
type=int,
help='The number of unique event_types.',
)
args = parser.parse_args()
# Set up logging to use the console
console = logging.StreamHandler(sys.stderr)
console.setLevel(logging.DEBUG)
formatter = logging.Formatter('%(message)s')
console.setFormatter(formatter)
root_logger = logging.getLogger('')
root_logger.addHandler(console)
root_logger.setLevel(logging.DEBUG)
# Connect to the event database
conn = storage.get_connection_from_config(cfg.CONF, 'event')
# Compute the correct time span
start = datetime.datetime.utcnow() - datetime.timedelta(days=args.start)
end = datetime.datetime.utcnow() + datetime.timedelta(days=args.end)
make_test_data(conn=conn,
start=start,
end=end,
interval=args.interval,
event_types=args.event_types)
if __name__ == '__main__':
main()