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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 utils.logger as log
import utils.infra_setup.runner.yardstick as Runner
from utils.parser import Parser as conf_parser
import testsuites.posca.testcase_dashboard.system_bandwidth as DashBoard
# --------------------------------------------------
# logging configuration
# --------------------------------------------------
LOG = log.Logger(__name__).getLogger()
testfile = os.path.basename(__file__)
testcase, file_format = os.path.splitext(testfile)
def env_pre(con_dic):
Runner.Create_Incluxdb(con_dic['runner_config'])
def config_to_result(test_config, test_result):
testdata = {}
test_result["throughput"] = float(test_result["throughput"])
test_result.update(test_config)
testdata["data_body"] = test_result
testdata["testcase"] = testcase
return testdata
def do_test(test_config, con_dic):
# this will change
test_case = con_dic['runner_config']['yardstick_testcase']
test_dict = {
"action": "runTestCase",
"args": {
"opts": {
"task-args": test_config
},
"testcase": test_case
}
}
Task_id = Runner.Send_Data(test_dict, con_dic['runner_config'])
time.sleep(con_dic['test_config']['test_time'])
Data_Reply = Runner.Get_Reply(con_dic['runner_config'], Task_id)
try:
test_date =\
Data_Reply[con_dic['runner_config']['yardstick_testcase']][0]
except IndexError:
test_date = do_test(test_config, con_dic)
save_data = config_to_result(test_config, test_date)
if con_dic['runner_config']['dashboard'] == 'y':
DashBoard.dashboard_send_data(con_dic['runner_config'], save_data)
return save_data["data_body"]
def run(con_dic):
s = con_dic['test_config']['scale_up_values']
scale_up_values = [
(c, m * s['mem_unit']) for c in
range(s['cpus_min'], s['cpus_max'], s['cpus_incr'])
for m in range(s['mem_min'], s['mem_max'], s['mem_incr'])
]
data = {
"scale_up_values": scale_up_values
}
con_dic["result_file"] = os.path.dirname(
os.path.abspath(__file__)) + "/test_case/result"
pre_role_result = 1
data_return = {}
data_max = {}
data_return["throughput"] = 1
if con_dic["runner_config"]["yardstick_test_ip"] is None:
con_dic["runner_config"]["yardstick_test_ip"] =\
conf_parser.ip_parser("yardstick_test_ip")
env_pre(con_dic)
if con_dic["runner_config"]["dashboard"] == 'y':
if con_dic["runner_config"]["dashboard_ip"] is None:
con_dic["runner_config"]["dashboard_ip"] =\
conf_parser.ip_parser("dashboard")
LOG.info("Create Dashboard data")
DashBoard.dashboard_system_bandwidth(con_dic["runner_config"])
bandwidth_tmp = 1
# vcpus and mem are scaled together
for vcpus, mem in data["scale_up_values"]:
data_max["throughput"] = 1
test_config = {
"vcpus": vcpus,
"mem": mem,
"test_time": con_dic['test_config']['test_time']
}
data_reply = do_test(test_config, con_dic)
conf_parser.result_to_file(data_reply, con_dic["out_file"])
# TODO: figure out which KPI to use
bandwidth = data_reply["throughput"]
if data_max["throughput"] < bandwidth:
data_max = data_reply
if abs(bandwidth_tmp - bandwidth) / float(bandwidth_tmp) < 0.025:
LOG.info("this group of data has reached top output")
break
else:
pre_reply = data_reply
bandwidth_tmp = bandwidth
cur_role_result = float(pre_reply["throughput"])
if (abs(pre_role_result - cur_role_result) /
float(pre_role_result) < 0.025):
LOG.info("The performance increases slowly")
if data_return["throughput"] < data_max["throughput"]:
data_return = data_max
pre_role_result = cur_role_result
LOG.info("Find bottlenecks of this config")
LOG.info("The max data is %d", data_return["throughput"])
return data_return
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