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
|
##############################################################################
# Copyright 2018 EuropeanSoftwareMarketingLtd.
# ===================================================================
# Licensed under the ApacheLicense, Version2.0 (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
#
# 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
##############################################################################
# vnftest comment: this is a modified copy of
# rally/rally/benchmark/runners/duration.py
"""A runner that runs a specific time before it returns
"""
from __future__ import absolute_import
import os
import multiprocessing
import logging
import traceback
import time
from vnftest.onap.runners import base
LOG = logging.getLogger(__name__)
QUEUE_PUT_TIMEOUT = 10
def _worker_process(queue, cls, method_name, step_cfg,
context_cfg, aborted, output_queue):
sequence = 1
runner_cfg = step_cfg['runner']
interval = runner_cfg.get("interval", 1)
duration = runner_cfg.get("duration", 60)
LOG.info("Worker START, duration is %ds", duration)
LOG.debug("class is %s", cls)
runner_cfg['runner_id'] = os.getpid()
step = cls(step_cfg, context_cfg)
step.setup()
method = getattr(step, method_name)
sla_action = None
if "sla" in step_cfg:
sla_action = step_cfg["sla"].get("action", "assert")
start = time.time()
timeout = start + duration
while True:
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
# catch all exceptions because with multiprocessing we can have un-picklable exception
# problems https://bugs.python.org/issue9400
except Exception:
errors = traceback.format_exc()
LOG.exception("")
else:
if result:
# add timeout for put so we don't block test
# if we do timeout we don't care about dropping individual KPIs
output_queue.put(result, True, QUEUE_PUT_TIMEOUT)
time.sleep(interval)
step_output = {
'timestamp': time.time(),
'sequence': sequence,
'data': data,
'errors': errors
}
queue.put(step_output, True, QUEUE_PUT_TIMEOUT)
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 time.time() > timeout or aborted.is_set():
LOG.info("Worker END")
break
try:
step.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.debug("queue.qsize() = %s", queue.qsize())
LOG.debug("output_queue.qsize() = %s", output_queue.qsize())
class DurationRunner(base.Runner):
"""Run a scenario for a certain amount of time
If the scenario ends before the time has elapsed, it will be started again.
Parameters
duration - amount of time the scenario will be run for
type: int
unit: seconds
default: 1 sec
interval - time to wait between each scenario invocation
type: int
unit: seconds
default: 1 sec
"""
__execution_type__ = 'Duration'
def _run_step(self, cls, method, step_cfg, context_cfg):
name = "{}-{}-{}".format(self.__execution_type__, step_cfg.get("type"), os.getpid())
self.process = multiprocessing.Process(
name=name,
target=_worker_process,
args=(self.result_queue, cls, method, step_cfg,
context_cfg, self.aborted, self.output_queue))
self.process.start()
|
