blob: 199d9b2ea84b7c89bac4f6a4d02bf67d31b40dff [file] [log] [blame]
# -*- python -*-
# -----------------------------------------------------------------------
# Copyright 2022 Open Networking Foundation (ONF) and the ONF Contributors
#
# 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.
# -----------------------------------------------------------------------
# This tool collects instantaneous memory usage for voltha pods
import argparse
import requests
from datetime import datetime
containers_for_mem_collection = ["voltha", "ofagent", "adapter-open-olt", "adapter-open-onu"]
def main(address, out_folder, namespace="default"):
"""
Query Prometheus and generate instantaneous memory consumptions for all the pods under test
:param address: string The address of the Prometheus instance to query
:param out_folder: string The output folder (where to save the .pdf files)
:param namespace: string The pod namespace
:return: void
"""
for container in containers_for_mem_collection:
container_mem_query = 'container_memory_working_set_bytes{namespace="%s",container="%s"}' % (namespace, container)
mem_params = {
"query": container_mem_query,
}
print("mem usage query: %s" % mem_params)
r = requests.get("http://%s/api/v1/query" % address, mem_params)
print("Downloading mem info from: %s" % r.url)
container_cpu = r.json()["data"]["result"]
# print("result for container %s is : " % container, container_cpu)
if len(container_cpu) > 0:
print(container_cpu[0]["value"][1])
fp = open(out_folder+"/"+container+".txt", "a")
result_in_csv_fmt = "%s,%s\n" % (datetime.now().strftime("%H:%M:%S.%f - %b %d %Y"), container_cpu[0]["value"][1])
fp.write(result_in_csv_fmt)
else:
print("error fetching memory usage for container: %s", container)
if __name__ == "__main__":
parser = argparse.ArgumentParser(prog="mem_consumption")
parser.add_argument("-a", "--address", help="The address of the Prometheus instance we're targeting",
default="127.0.0.1:31301")
parser.add_argument("-o", "--output", help="Where to output the generated files",
default="voltha-pods-mem-consumption")
parser.add_argument("-n", "--namespace", help="Kubernetes namespace for collecting metrics",
default="voltha")
args = parser.parse_args()
main(args.address, args.output, args.namespace)