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##############################################################################
# Copyright (c) 2015 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
##############################################################################
'''A runner that runs a configurable number of times before it returns
'''
import os
import multiprocessing
import logging
import traceback
import time
from yardstick.benchmark.runners import base
LOG = logging.getLogger(__name__)
def _worker_process(queue, cls, method_name, scenario_cfg,
context_cfg, aborted):
sequence = 1
runner_cfg = scenario_cfg['runner']
interval = runner_cfg.get("interval", 1)
iterations = runner_cfg.get("iterations", 1)
run_step = runner_cfg.get("run_step", "setup,run,teardown")
LOG.info("worker START, iterations %d times, class %s", iterations, cls)
runner_cfg['runner_id'] = os.getpid()
benchmark = cls(scenario_cfg, context_cfg)
if "setup" in run_step:
benchmark.setup()
method = getattr(benchmark, method_name)
queue.put({'runner_id': runner_cfg['runner_id'],
'scenario_cfg': scenario_cfg,
'context_cfg': context_cfg})
sla_action = None
if "sla" in scenario_cfg:
sla_action = scenario_cfg["sla"].get("action", "assert")
if "run" in run_step:
while True:
LOG.debug("runner=%(runner)s seq=%(sequence)s START" %
{"runner": runner_cfg["runner_id"],
"sequence": sequence})
data = {}
errors = ""
try:
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)
time.sleep(interval)
benchmark_output = {
'timestamp': time.time(),
'sequence': sequence,
'data': data,
'errors': errors
}
record = {'runner_id': runner_cfg['runner_id'],
'benchmark': benchmark_output}
queue.put(record)
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 \
(sequence > iterations or aborted.is_set()):
LOG.info("worker END")
break
if "teardown" in run_step:
benchmark.teardown()
class IterationRunner(base.Runner):
'''Run a scenario for a configurable number of times
If the scenario ends before the time has elapsed, it will be started again.
Parameters
iterations - amount of times the scenario will be run for
type: int
unit: na
default: 1
interval - time to wait between each scenario invocation
type: int
unit: seconds
default: 1 sec
'''
__execution_type__ = 'Iteration'
def _run_benchmark(self, cls, method, scenario_cfg, context_cfg):
self.process = multiprocessing.Process(
target=_worker_process,
args=(self.result_queue, cls, method, scenario_cfg,
context_cfg, self.aborted))
self.process.start()
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