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#!/usr/bin/env python
##############################################################################
# Copyright (c) 2017 Huawei Technologies Co.,Ltd and others.
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License, Version 2.0
# which accompanies this distribution, and is available at
# http://www.apache.org/licenses/LICENSE-2.0
##############################################################################
'''This file realize the function of run systembandwidth script.
for example this contain two part first run_script,
second is algorithm, this part is about how to judge the bottlenecks.
This test is using yardstick as a tool to begin test.'''
import os
import time
import uuid
import json
import Queue
import multiprocessing
import utils.logger as log
from utils.parser import Parser as conf_parser
import utils.env_prepare.stack_prepare as stack_prepare
import utils.infra_setup.runner.docker_env as docker_env
import utils.infra_setup.runner.yardstick as yardstick_task
# --------------------------------------------------
# logging configuration
# --------------------------------------------------
LOG = log.Logger(__name__).getLogger()
testfile = os.path.basename(__file__)
testcase, file_format = os.path.splitext(testfile)
# cidr = "/home/opnfv/repos/yardstick/samples/pvp_throughput_bottlenecks.yaml"
runner_switch = True
runner_DEBUG = True
def env_pre(con_dic):
LOG.info("yardstick environment prepare!")
stack_prepare._prepare_env_daemon(True)
def config_to_result(test_config, test_result):
final_data = []
print(test_result)
out_data = test_result["result"]["testcases"]
test_data = out_data["pvp_throughput_bottlenecks"]["tc_data"]
for result in test_data:
testdata = {}
testdata["vcpu"] = test_config["vcpu"]
testdata["memory"] = test_config["memory"]
testdata["nrFlows"] = result["data"]["nrFlows"]
testdata["packet_size"] = result["data"]["packet_size"]
testdata["throughput"] = result["data"]["throughput_rx_mbps"]
final_data.append(testdata)
return final_data
def testcase_parser(runner_conf, out_file="yardstick.out", **parameter_info):
cidr = "/home/opnfv/repos/yardstick/" + \
runner_conf["yardstick_test_dir"] + \
runner_conf["yardstick_testcase"]
cmd = yardstick_task.yardstick_command_parser(debug=runner_DEBUG,
cidr=cidr,
outfile=out_file,
parameter=parameter_info)
return cmd
def do_test(runner_conf, test_config, Use_Dashboard, context_conf):
yardstick_container = docker_env.yardstick_info['container']
out_file = ("/tmp/yardstick_" + str(uuid.uuid4()) + ".out")
cmd = testcase_parser(runner_conf, out_file=out_file, **test_config)
print(cmd)
stdout = docker_env.docker_exec_cmd(yardstick_container, cmd)
LOG.info(stdout)
loop_value = 0
while loop_value < 60:
time.sleep(2)
loop_value = loop_value + 1
with open(out_file) as f:
data = json.load(f)
if data["status"] == 1:
LOG.info("yardstick run success")
break
elif data["status"] == 2:
LOG.error("yardstick error exit")
exit()
# data = json.load(output)
save_data = config_to_result(test_config, data)
if Use_Dashboard is True:
print("use dashboard")
# DashBoard.dashboard_send_data(context_conf, save_data)
# return save_data["data_body"]
return save_data
def run(test_config):
load_config = test_config["load_manager"]
scenarios_conf = load_config["scenarios"]
runner_conf = test_config["runners"]
Use_Dashboard = False
env_pre(None)
if test_config["contexts"]["yardstick_ip"] is None:
load_config["contexts"]["yardstick_ip"] =\
conf_parser.ip_parser("yardstick_test_ip")
if "dashboard" in test_config["contexts"].keys():
if test_config["contexts"]["dashboard_ip"] is None:
test_config["contexts"]["dashboard_ip"] =\
conf_parser.ip_parser("dashboard")
LOG.info("Create Dashboard data")
Use_Dashboard = True
# DashBoard.dashboard_system_bandwidth(test_config["contexts"])
resources = conf_parser.str_to_list(scenarios_conf["resources"])
initial = conf_parser.str_to_list(scenarios_conf["initial"])
threshhold = conf_parser.str_to_list(scenarios_conf["threshhold"])
timeout = conf_parser.str_to_list(scenarios_conf["timeout"])
SLA = conf_parser.str_to_list(scenarios_conf["SLA"])
case_config = {"SLA": SLA,
"resources": resources}
process_queue = Queue.Queue()
load_config["result_file"] = os.path.dirname(
os.path.abspath(__file__)) + "/test_case/result"
result = 0
if initial is 0:
tenant_number = threshhold
else:
tenant_number = initial
while runner_switch is True:
for tenant in range(0, tenant_number):
process = multiprocessing.Process(target=do_test,
args=(runner_conf,
case_config,
Use_Dashboard,
test_config["contexts"],
))
process.start()
process_queue.put(process)
result = result + tenant_number
tenant_number = threshhold
time.sleep(timeout)
while process_queue.qsize():
process = process_queue.get()
process.terminate()
if result is initial:
result = 0
else:
result = result - threshhold
LOG.info("Finished bottlenecks testcase")
LOG.info("The result data is %s", result)
return result
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