# 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 runs a configurable number of times before it returns """ from __future__ import absolute_import import logging import multiprocessing import traceback import os from yardstick.benchmark.runners import base from yardstick.common import exceptions as y_exc LOG = logging.getLogger(__name__) QUEUE_PUT_TIMEOUT = 10 def _worker_process(queue, cls, method_name, scenario_cfg, context_cfg, aborted, output_queue): 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") delta = runner_cfg.get("delta", 2) LOG.info("worker START, iterations %d times, class %s", iterations, cls) runner_cfg['runner_id'] = os.getpid() scenario_output = base.ScenarioOutput(queue, sequence=1, errors="") benchmark = cls(scenario_cfg, context_cfg) if "setup" in run_step: benchmark.setup() method = getattr(benchmark, method_name) 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": scenario_output.sequence}) scenario_output.clear() scenario_output.errors = "" benchmark.pre_run_wait_time(interval) try: result = method(scenario_output) except y_exc.SLAValidationError as error: # 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", error.args) scenario_output.errors = error.args elif sla_action == "rate-control": try: scenario_cfg['options']['rate'] except KeyError: scenario_cfg.setdefault('options', {}) scenario_cfg['options']['rate'] = 100 scenario_cfg['options']['rate'] -= delta scenario_output.sequence = 1 continue except Exception: # pylint: disable=broad-except scenario_output.errors = traceback.format_exc() LOG.exception("") raise 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) benchmark.post_run_wait_time(interval) if scenario_output: scenario_output.push() LOG.debug("runner=%(runner)s seq=%(sequence)s END", {"runner": runner_cfg["runner_id"], "sequence": scenario_output.sequence}) scenario_output.sequence += 1 if (scenario_output.errors and sla_action is None) or \ (scenario_output.sequence > iterations or aborted.is_set()): LOG.info("worker END") break if "teardown" in run_step: 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.debug("queue.qsize() = %s", queue.qsize()) LOG.debug("output_queue.qsize() = %s", output_queue.qsize()) 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): 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()