yardstick/tests/unit/network_services/traffic_profile/test_prox_binsearch.py

   1 # Copyright (c) 2017 Intel Corporation
   2 #
   3 # Licensed under the Apache License, Version 2.0 (the "License");
   4 # you may not use this file except in compliance with the License.
   5 # You may obtain a copy of the License at
   6 #
   7 #      http://www.apache.org/licenses/LICENSE-2.0
   8 #
   9 # Unless required by applicable law or agreed to in writing, software
  10 # distributed under the License is distributed on an "AS IS" BASIS,
  11 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  12 # See the License for the specific language governing permissions and
  13 # limitations under the License.
  14 #
  15
  16 import unittest
  17 import mock
  18
  19 from yardstick.tests import STL_MOCKS
  20
  21 STLClient = mock.MagicMock()
  22 stl_patch = mock.patch.dict("sys.modules", STL_MOCKS)
  23 stl_patch.start()
  24
  25 if stl_patch:
  26     from yardstick.network_services.vnf_generic.vnf.prox_helpers import ProxTestDataTuple
  27     from yardstick.network_services.traffic_profile.prox_binsearch import ProxBinSearchProfile
  28
  29
  30 class TestProxBinSearchProfile(unittest.TestCase):
  31
  32     def test_execute_1(self):
  33         def target(*args, **_):
  34             runs.append(args[2])
  35             if args[2] < 0 or args[2] > 100:
  36                 raise RuntimeError(' '.join([str(args), str(runs)]))
  37             if args[2] > 75.0:
  38                 return fail_tuple, {}
  39             return success_tuple, {}
  40
  41         tp_config = {
  42             'traffic_profile': {
  43                 'packet_sizes': [200],
  44                 'test_precision': 2.0,
  45                 'tolerated_loss': 0.001,
  46             },
  47         }
  48
  49         runs = []
  50         success_tuple = ProxTestDataTuple(10.0, 1, 2, 3, 4, [5.1, 5.2, 5.3], 995, 1000, 123.4)
  51         fail_tuple = ProxTestDataTuple(10.0, 1, 2, 3, 4, [5.6, 5.7, 5.8], 850, 1000, 123.4)
  52
  53         traffic_generator = mock.MagicMock()
  54
  55         profile_helper = mock.MagicMock()
  56         profile_helper.run_test = target
  57
  58         profile = ProxBinSearchProfile(tp_config)
  59         profile.init(mock.MagicMock())
  60         profile._profile_helper = profile_helper
  61
  62         profile.execute_traffic(traffic_generator)
  63         self.assertEqual(round(profile.current_lower, 2), 74.69)
  64         self.assertEqual(round(profile.current_upper, 2), 76.09)
  65         self.assertEqual(len(runs), 7)
  66
  67         # Result Samples inc theor_max
  68         result_tuple = {"Result_Actual_throughput": 7.5e-07,
  69                         "Result_theor_max_throughput": 1.234e-10,
  70                         "Result_pktSize": 200}
  71         profile.queue.put.assert_called_with(result_tuple)
  72
  73         success_result_tuple = {"Success_CurrentDropPackets": 0.5,
  74                                 "Success_DropPackets": 0.5,
  75                                 "Success_LatencyAvg": 5.3,
  76                                 "Success_LatencyMax": 5.2,
  77                                 "Success_LatencyMin": 5.1,
  78                                 "Success_PktSize": 200,
  79                                 "Success_RxThroughput": 7.5e-07,
  80                                 "Success_Throughput": 7.5e-07,
  81                                 "Success_TxThroughput": 0.00012340000000000002}
  82
  83         calls = profile.queue.put(success_result_tuple)
  84         profile.queue.put.assert_has_calls(calls)
  85
  86         success_result_tuple2 = {"Success_CurrentDropPackets": 0.5,
  87                                 "Success_DropPackets": 0.5,
  88                                 "Success_LatencyAvg": 5.3,
  89                                 "Success_LatencyMax": 5.2,
  90                                 "Success_LatencyMin": 5.1,
  91                                 "Success_PktSize": 200,
  92                                 "Success_RxThroughput": 7.5e-07,
  93                                 "Success_Throughput": 7.5e-07,
  94                                 "Success_TxThroughput": 123.4,
  95                                 "Success_can_be_lost": 409600,
  96                                 "Success_drop_total": 20480,
  97                                 "Success_rx_total": 4075520,
  98                                 "Success_tx_total": 4096000}
  99
 100         calls = profile.queue.put(success_result_tuple2)
 101         profile.queue.put.assert_has_calls(calls)
 102
 103     def test_execute_2(self):
 104         def target(*args, **_):
 105             runs.append(args[2])
 106             if args[2] < 0 or args[2] > 100:
 107                 raise RuntimeError(' '.join([str(args), str(runs)]))
 108             if args[2] > 25.0:
 109                 return fail_tuple, {}
 110             return success_tuple, {}
 111
 112         tp_config = {
 113             'traffic_profile': {
 114                 'packet_sizes': [200],
 115                 'test_precision': 2.0,
 116                 'tolerated_loss': 0.001,
 117             },
 118         }
 119
 120         runs = []
 121         success_tuple = ProxTestDataTuple(10.0, 1, 2, 3, 4, [5.1, 5.2, 5.3], 995, 1000, 123.4)
 122         fail_tuple = ProxTestDataTuple(10.0, 1, 2, 3, 4, [5.6, 5.7, 5.8], 850, 1000, 123.4)
 123
 124         traffic_generator = mock.MagicMock()
 125
 126         profile_helper = mock.MagicMock()
 127         profile_helper.run_test = target
 128
 129         profile = ProxBinSearchProfile(tp_config)
 130         profile.init(mock.MagicMock())
 131         profile._profile_helper = profile_helper
 132
 133         profile.execute_traffic(traffic_generator)
 134         self.assertEqual(round(profile.current_lower, 2), 24.06)
 135         self.assertEqual(round(profile.current_upper, 2), 25.47)
 136         self.assertEqual(len(runs), 7)
 137
 138     def test_execute_3(self):
 139         def target(*args, **_):
 140             runs.append(args[2])
 141             if args[2] < 0 or args[2] > 100:
 142                 raise RuntimeError(' '.join([str(args), str(runs)]))
 143             if args[2] > 75.0:
 144                 return fail_tuple, {}
 145             return success_tuple, {}
 146
 147         tp_config = {
 148             'traffic_profile': {
 149                 'packet_sizes': [200],
 150                 'test_precision': 2.0,
 151                 'tolerated_loss': 0.001,
 152             },
 153         }
 154
 155         runs = []
 156         success_tuple = ProxTestDataTuple(10.0, 1, 2, 3, 4, [5.1, 5.2, 5.3], 995, 1000, 123.4)
 157         fail_tuple = ProxTestDataTuple(10.0, 1, 2, 3, 4, [5.6, 5.7, 5.8], 850, 1000, 123.4)
 158
 159         traffic_generator = mock.MagicMock()
 160
 161         profile_helper = mock.MagicMock()
 162         profile_helper.run_test = target
 163
 164         profile = ProxBinSearchProfile(tp_config)
 165         profile.init(mock.MagicMock())
 166         profile._profile_helper = profile_helper
 167
 168         profile.upper_bound = 100.0
 169         profile.lower_bound = 99.0
 170         profile.execute_traffic(traffic_generator)
 171
 172
 173         # Result Samples
 174         result_tuple = {"Result_theor_max_throughput": 0, "Result_pktSize": 200}
 175         profile.queue.put.assert_called_with(result_tuple)
 176
 177         # Check for success_ tuple (None expected)
 178         calls = profile.queue.put.mock_calls
 179         for call in calls:
 180             for call_detail in call[1]:
 181                 for k in call_detail:
 182                     if "Success_" in k:
 183                         self.assertRaises(AttributeError)