def _run_scenario(self, cls, method, context, args):
timeout = self.config.get("timeout", 600)
concurrency = self.config.get("concurrency", 1)
duration = self.config.get("duration")
pool = multiprocessing.Pool(concurrency)
run_args = utils.infinite_run_args_generator(
self._iter_scenario_args(cls, method, context, args))
iter_result = pool.imap(base._run_scenario_once, run_args)
results_queue = collections.deque([], maxlen=concurrency)
start = time.time()
while True:
try:
result = iter_result.next(timeout)
except multiprocessing.TimeoutError as e:
result = {
"duration": timeout,
"idle_duration": 0,
"error": utils.format_exc(e)
}
results_queue.append(result)
if time.time() - start > duration:
break
results = list(results_queue)
pool.terminate()
pool.join()
return base.ScenarioRunnerResult(results)
def _run_scenario(self, cls, method, context, args):
timeout = self.config.get("timeout", 600)
concurrency = self.config.get("concurrency", 1)
duration = self.config.get("duration")
pool = multiprocessing.Pool(concurrency)
run_args = utils.infinite_run_args_generator(
self._iter_scenario_args(cls, method, context, args))
iter_result = pool.imap(base._run_scenario_once, run_args)
start = time.time()
while True:
try:
result = iter_result.next(timeout)
except multiprocessing.TimeoutError as e:
result = base.format_result_on_timeout(e, timeout)
self._send_result(result)
if time.time() - start > duration:
break
pool.terminate()
pool.join()
def _run_scenario(self, cls, method, context, args):
timeout = self.config.get("timeout", 600)
concurrency = self.config.get("concurrency", 1)
duration = self.config.get("duration")
pool = multiprocessing.Pool(concurrency)
run_args = utils.infinite_run_args_generator(
self._iter_scenario_args(cls, method, context, args, self.aborted))
iter_result = pool.imap(base._run_scenario_once, run_args)
start = time.time()
while True:
try:
result = iter_result.next(timeout)
except multiprocessing.TimeoutError as e:
result = base.format_result_on_timeout(e, timeout)
except StopIteration:
break
self._send_result(result)
if time.time() - start > duration:
break
pool.terminate()
pool.join()
def _run_scenario(self, cls, method, context, args):
timeout = self.config.get("timeout", 600)
concurrency = self.config.get("concurrency", 1)
duration = self.config.get("duration")
pool = multiprocessing.Pool(concurrency)
run_args = utils.infinite_run_args_generator(
self._iter_scenario_args(cls, method, context, args))
iter_result = pool.imap(base._run_scenario_once, run_args)
results = []
start = time.time()
while True:
try:
result = iter_result.next(timeout)
except multiprocessing.TimeoutError as e:
result = {"duration": timeout, "idle_duration": 0,
"scenario_output": {},
"atomic_actions": [],
"error": utils.format_exc(e)}
results.append(result)
if time.time() - start > duration:
break
pool.terminate()
pool.join()
return base.ScenarioRunnerResult(results)
def _run_scenario_continuously_for_duration(self, cls, method, context,
args, duration, concurrent,
timeout):
pool = multiprocessing.Pool(concurrent)
def _scenario_args(i):
return (i, cls, method, base._get_scenario_context(context), args)
run_args = utils.infinite_run_args_generator(_scenario_args)
iter_result = pool.imap(base._run_scenario_once, run_args)
results_queue = collections.deque([], maxlen=concurrent)
start = time.time()
while True:
try:
result = iter_result.next(timeout)
except multiprocessing.TimeoutError as e:
result = {"time": timeout, "idle_time": 0,
"error": utils.format_exc(e)}
results_queue.append(result)
if time.time() - start > duration:
break
results = list(results_queue)
pool.terminate()
pool.join()
return results
def _run_scenario(self, cls, method, context, args):
"""Runs the specified benchmark scenario with given arguments.
:param cls: The Scenario class where the scenario is implemented
:param method_name: Name of the method that implements the scenario
:param context: Benchmark context that contains users, admin & other
information, that was created before benchmark started.
:param args: Arguments to call the scenario method with
:returns: List of results fore each single scenario iteration,
where each result is a dictionary
"""
timeout = self.config.get("timeout", 600)
concurrency = self.config.get("concurrency", 1)
duration = self.config.get("duration")
pool = multiprocessing.Pool(concurrency)
run_args = butils.infinite_run_args_generator(
self._iter_scenario_args(cls, method, context, args,
self.aborted))
iter_result = pool.imap(runner._run_scenario_once, run_args)
start = time.time()
while True:
try:
result = iter_result.next(timeout)
except multiprocessing.TimeoutError as e:
result = runner.format_result_on_timeout(e, timeout)
except StopIteration:
break
self._send_result(result)
if time.time() - start > duration:
break
pool.terminate()
pool.join()
def test_infinite_run_args_generator(self):
args = lambda x: (x, "a", "b", 123)
for i, real_args in enumerate(utils.infinite_run_args_generator(args)):
self.assertEqual((i, "a", "b", 123), real_args)
if i > 5:
break
def test_infinite_run_args_generator(self):
args = lambda x: (x, "a", "b", 123)
for i, real_args in enumerate(utils.infinite_run_args_generator(args)):
self.assertEqual((i, "a", "b", 123), real_args)
if i > 5:
break
