2241d02fcb35d9eec898b687e06a369879ae9003
[bottlenecks.git] / testsuites / posca / testcase_script / posca_factor_vnf_scale_out.py
1 #!/usr/bin/env python
2 ##############################################################################
3 # Copyright (c) 2017 Huawei Technologies Co.,Ltd and others.
4 #
5 # All rights reserved. This program and the accompanying materials
6 # are made available under the terms of the Apache License, Version 2.0
7 # which accompanies this distribution, and is available at
8 # http://www.apache.org/licenses/LICENSE-2.0
9 ##############################################################################
10 """This file realize the function of run systembandwidth script.
11 for example this contain two part first run_script,
12 second is algorithm, this part is about how to judge the bottlenecks.
13 This test is using yardstick as a tool to begin test."""
14
15 import os
16 import time
17 import utils.logger as log
18 import utils.infra_setup.runner.yardstick as Runner
19 from utils.parser import Parser as conf_parser
20 import testsuites.posca.testcase_dashboard.system_bandwidth as DashBoard
21 # --------------------------------------------------
22 # logging configuration
23 # --------------------------------------------------
24 LOG = log.Logger(__name__).getLogger()
25
26 testfile = os.path.basename(__file__)
27 testcase, file_format = os.path.splitext(testfile)
28
29
30 def env_pre(con_dic):
31     Runner.Create_Incluxdb(con_dic['runner_config'])
32
33
34 def config_to_result(test_config, test_result):
35     testdata = {}
36     test_result["throughput"] = float(test_result["throughput"])
37     test_result.update(test_config)
38     testdata["data_body"] = test_result
39     testdata["testcase"] = testcase
40     return testdata
41
42
43 def do_test(test_config, con_dic):
44     test_case = con_dic['runner_config']['yardstick_testcase']
45     test_dict = {
46         "action": "runTestCase",
47         "args": {
48             "opts": {
49                 "task-args": test_config
50             },
51             "testcase": test_case
52         }
53     }
54     Task_id = Runner.Send_Data(test_dict, con_dic['runner_config'])
55     time.sleep(con_dic['test_config']['test_time'])
56     Data_Reply = Runner.Get_Reply(con_dic['runner_config'], Task_id)
57     try:
58         test_date =\
59             Data_Reply[con_dic['runner_config']['yardstick_testcase']][0]
60     except IndexError:
61         test_date = do_test(test_config, con_dic)
62
63     save_data = config_to_result(test_config, test_date)
64     if con_dic['runner_config']['dashboard'] == 'y':
65         DashBoard.dashboard_send_data(con_dic['runner_config'], save_data)
66
67     return save_data["data_body"]
68
69
70 def run(con_dic):
71     # can we specify these ranges from command line?
72     low, high = con_dic['test_config']['num_vnfs']
73     data = {
74         "num_vnfs": range(low, high)
75     }
76     con_dic["result_file"] = os.path.dirname(
77         os.path.abspath(__file__)) + "/test_case/result"
78     pre_role_result = 1
79     data_return = {}
80     data_max = {}
81     data_return["throughput"] = 1
82
83     if con_dic["runner_config"]["yardstick_test_ip"] is None:
84         con_dic["runner_config"]["yardstick_test_ip"] =\
85             conf_parser.ip_parser("yardstick_test_ip")
86
87     env_pre(con_dic)
88
89     if con_dic["runner_config"]["dashboard"] == 'y':
90         if con_dic["runner_config"]["dashboard_ip"] is None:
91             con_dic["runner_config"]["dashboard_ip"] =\
92                 conf_parser.ip_parser("dashboard")
93         LOG.info("Create Dashboard data")
94         DashBoard.dashboard_system_bandwidth(con_dic["runner_config"])
95
96     bandwidth_tmp = 1
97     # vcpus and mem are scaled together
98     for num_vnfs in data["scale_up_values"]:
99         data_max["throughput"] = 1
100         test_config = {
101             "num_vnfs": num_vnfs,
102             "test_time": con_dic['test_config']['test_time']
103         }
104         data_reply = do_test(test_config, con_dic)
105         conf_parser.result_to_file(data_reply, con_dic["out_file"])
106         # TODO: figure out which KPI to use
107         bandwidth = data_reply["throughput"]
108         if data_max["throughput"] < bandwidth:
109             data_max = data_reply
110         if abs(bandwidth_tmp - bandwidth) / float(bandwidth_tmp) < 0.025:
111             LOG.info("this group of data has reached top output")
112             break
113         else:
114             pre_reply = data_reply
115             bandwidth_tmp = bandwidth
116         cur_role_result = float(pre_reply["throughput"])
117         if (abs(pre_role_result - cur_role_result) /
118                 float(pre_role_result) < 0.025):
119             LOG.info("The performance increases slowly")
120         if data_return["throughput"] < data_max["throughput"]:
121             data_return = data_max
122         pre_role_result = cur_role_result
123     LOG.info("Find bottlenecks of this config")
124     LOG.info("The max data is %d", data_return["throughput"])
125     return data_return