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##############################################################################
# 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/step/runners/dynamictp.py
"""A runner that searches for the max throughput with binary search
"""
import logging
import multiprocessing
import time
import traceback
import os
from vnftest.runners import base
LOG = logging.getLogger(__name__)
def _worker_process(queue, cls, method_name, step_cfg,
context_cfg, aborted): # pragma: no cover
runner_cfg = step_cfg['runner']
iterations = runner_cfg.get("iterations", 1)
interval = runner_cfg.get("interval", 1)
run_step = runner_cfg.get("run_step", "setup,run,teardown")
delta = runner_cfg.get("delta", 1000)
options_cfg = step_cfg['options']
initial_rate = options_cfg.get("pps", 1000000)
LOG.info("worker START, class %s", cls)
runner_cfg['runner_id'] = os.getpid()
step = cls(step_cfg, context_cfg)
if "setup" in run_step:
step.setup()
method = getattr(step, method_name)
queue.put({'runner_id': runner_cfg['runner_id'],
'step_cfg': step_cfg,
'context_cfg': context_cfg})
if "run" in run_step:
iterator = 0
search_max = initial_rate
search_min = 0
while iterator < iterations:
search_min = int(search_min / 2)
step_cfg['options']['pps'] = search_max
search_max_found = False
max_throuput_found = False
sequence = 0
last_min_data = {'packets_per_second': 0}
while True:
sequence += 1
data = {}
errors = ""
too_high = False
LOG.debug("sequence: %s search_min: %s search_max: %s",
sequence, search_min, search_max)
try:
method(data)
except AssertionError as assertion:
LOG.warning("SLA validation failed: %s" % assertion.args)
too_high = True
except Exception as e:
errors = traceback.format_exc()
LOG.exception(e)
actual_pps = data['packets_per_second']
if too_high:
search_max = actual_pps
if not search_max_found:
search_max_found = True
else:
last_min_data = data
search_min = actual_pps
# Check if the actual rate is well below the asked rate
if step_cfg['options']['pps'] > actual_pps * 1.5:
search_max = actual_pps
LOG.debug("Sender reached max tput: %s", search_max)
elif not search_max_found:
search_max = int(actual_pps * 1.5)
if ((search_max - search_min) < delta) or \
(search_max <= search_min) or (10 <= sequence):
if last_min_data['packets_per_second'] > 0:
data = last_min_data
step_output = {
'timestamp': time.time(),
'sequence': sequence,
'data': data,
'errors': errors
}
record = {
'runner_id': runner_cfg['runner_id'],
'step': step_output
}
queue.put(record)
max_throuput_found = True
if errors or aborted.is_set() or max_throuput_found:
LOG.info("worker END")
break
if not search_max_found:
step_cfg['options']['pps'] = search_max
else:
step_cfg['options']['pps'] = \
(search_max - search_min) / 2 + search_min
time.sleep(interval)
iterator += 1
LOG.debug("iterator: %s iterations: %s", iterator, iterations)
if "teardown" in run_step:
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())
class IterationRunner(base.Runner):
"""Run a step several times in a loop
If the step ends before the time has elapsed, it will be started again.
Parameters
interval - time to wait between each step invocation
type: int
unit: seconds
default: 1 sec
delta - stop condition for the search.
type: int
unit: pps
default: 1000 pps
"""
__execution_type__ = 'Dynamictp'
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.process.start()
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