141 lines
5.4 KiB
Python
Executable File
141 lines
5.4 KiB
Python
Executable File
# (C) Copyright 2014-2016 Hewlett Packard Enterprise Development LP
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain 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,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# Copyright (c) 2012, Datadog <info@datadoghq.com>
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# All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are met:
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# * Redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer.
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# * Redistributions in binary form must reproduce the above copyright
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# notice, this list of conditions and the following disclaimer in the
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# documentation and/or other materials provided with the distribution.
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# * Neither the name of the Datadog nor the
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# names of its contributors may be used to endorse or promote products
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# derived from this software without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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# DISCLAIMED. IN NO EVENT SHALL DATADOG BE LIABLE FOR ANY
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# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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import ConfigParser
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import random
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import time
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import monascastatsd as mstatsd
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import statsd
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'''The statsd generator will provide a testbed for testing
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the monasca agent statsd capability with dimensions
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'''
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class MonascaStatsdGenerator(object):
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'''Class to generate MonascaStatsd metrics.'''
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def __init__(self, config):
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'''Constructor.'''
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print (config)
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self.num_of_iterations = int(config["iterations"])
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self.delay = int(config["delay"])
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self.host = config["host"]
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self.port = config["port"]
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def send_messages(self):
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'''Main processing for sending messages.'''
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try:
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conn = mstatsd.Connection(host=self.host, port=self.port)
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self.client = mstatsd.Client(name='statsd-generator', connection=conn)
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for index in range(1, self.num_of_iterations + 1):
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print("Starting iteration " + str(index) +
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" of " + str(self.num_of_iterations))
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counter = self.client.get_counter('teraflops')
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counter.increment(5)
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gauge = self.client.get_gauge()
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gauge.send('num_of_teraflops',
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random.uniform(1.0, 10.0),
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dimensions={'origin': 'dev',
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'environment': 'test'})
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histogram = self.client.get_histogram('hist')
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histogram.send('file.upload.size',
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random.randrange(1, 100),
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dimensions={'version': '1.0'})
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set = self.client.get_set('hist')
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set.send('load_time',
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random.randrange(1, 100),
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dimensions={'page_name': 'mypage.html'})
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timer = self.client.get_timer('timer')
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@timer.timed('config_db_time',
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dimensions={'db_name': 'mydb'})
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def time_db():
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time.sleep(0.2)
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time_db()
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with timer.time('time_block'):
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time.sleep(0.3)
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# Send some regular statsd messages
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counter = statsd.Counter('statsd_counter')
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counter += 1
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gauge = statsd.Gauge('statsd_gauge')
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gauge.send('cpu_percent',
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random.uniform(1.0, 100.0))
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print("Completed iteration " + str(index) +
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". Sleeping for " + str(self.delay) + " seconds...")
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time.sleep(self.delay)
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except Exception:
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print ("Error sending statsd messages...")
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raise
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def read_config():
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'''Read in the config file.'''
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config = ConfigParser.ConfigParser()
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config.read("generator.conf")
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config_options = {}
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section = "main"
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options = config.options(section)
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for option in options:
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try:
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config_options[option] = config.get(section, option)
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if config_options[option] == -1:
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print("skip: %s" % option)
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except Exception:
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print("exception on %s!" % option)
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config_options[option] = None
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return config_options
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def main():
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config = read_config()
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generator = MonascaStatsdGenerator(config)
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generator.send_messages()
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if __name__ == "__main__":
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main()
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