1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
|
# Copyright 2014: Mirantis Inc.
# All Rights Reserved.
#
# 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.
# yardstick comment: this is a modified copy of
# rally/rally/benchmark/runners/constant.py
"""A runner that every run changes a specified input value to the scenario.
The input value in the sequence is specified in a list in the input file.
"""
from __future__ import absolute_import
import logging
import multiprocessing
import time
import traceback
import os
from yardstick.benchmark.runners import base
LOG = logging.getLogger(__name__)
def _worker_process(queue, cls, method_name, scenario_cfg,
context_cfg, aborted, output_queue):
sequence = 1
runner_cfg = scenario_cfg['runner']
interval = runner_cfg.get("interval", 1)
arg_name = runner_cfg.get('scenario_option_name')
sequence_values = runner_cfg.get('sequence')
if 'options' not in scenario_cfg:
scenario_cfg['options'] = {}
options = scenario_cfg['options']
runner_cfg['runner_id'] = os.getpid()
LOG.info("worker START, sequence_values(%s, %s), class %s",
arg_name, sequence_values, cls)
benchmark = cls(scenario_cfg, context_cfg)
benchmark.setup()
method = getattr(benchmark, method_name)
sla_action = None
if "sla" in scenario_cfg:
sla_action = scenario_cfg["sla"].get("action", "assert")
for value in sequence_values:
options[arg_name] = value
LOG.debug("runner=%(runner)s seq=%(sequence)s START",
{"runner": runner_cfg["runner_id"], "sequence": sequence})
data = {}
errors = ""
try:
result = method(data)
except AssertionError as assertion:
# SLA validation failed in scenario, determine what to do now
if sla_action == "assert":
raise
elif sla_action == "monitor":
LOG.warning("SLA validation failed: %s", assertion.args)
errors = assertion.args
except Exception as e:
errors = traceback.format_exc()
LOG.exception(e)
else:
if result:
output_queue.put(result)
time.sleep(interval)
benchmark_output = {
'timestamp': time.time(),
'sequence': sequence,
'data': data,
'errors': errors
}
queue.put(benchmark_output)
LOG.debug("runner=%(runner)s seq=%(sequence)s END",
{"runner": runner_cfg["runner_id"], "sequence": sequence})
sequence += 1
if (errors and sla_action is None) or aborted.is_set():
break
try:
benchmark.teardown()
except Exception:
# catch any exception in teardown and convert to simple exception
# never pass exceptions back to multiprocessing, because some exceptions can
# be unpicklable
# https://bugs.python.org/issue9400
LOG.exception("")
raise SystemExit(1)
LOG.info("worker END")
LOG.debug("queue.qsize() = %s", queue.qsize())
LOG.debug("output_queue.qsize() = %s", output_queue.qsize())
class SequenceRunner(base.Runner):
"""Run a scenario by changing an input value defined in a list
Parameters
interval - time to wait between each scenario invocation
type: int
unit: seconds
default: 1 sec
scenario_option_name - name of the option that is increased each invocation
type: string
unit: na
default: none
sequence - list of values which are executed in their respective scenarios
type: [int]
unit: na
default: none
"""
__execution_type__ = 'Sequence'
def _run_benchmark(self, cls, method, scenario_cfg, context_cfg):
name = "{}-{}-{}".format(self.__execution_type__, scenario_cfg.get("type"), os.getpid())
self.process = multiprocessing.Process(
name=name,
target=_worker_process,
args=(self.result_queue, cls, method, scenario_cfg,
context_cfg, self.aborted, self.output_queue))
self.process.start()
|
