############################################################################## # 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/vnf_type_crawler.py """A runner that runs a configurable number of times before it returns """ from __future__ import absolute_import import logging import multiprocessing import time import traceback import os from vnftest.common.exceptions import VnftestException from vnftest.runners import base LOG = logging.getLogger(__name__) QUEUE_PUT_TIMEOUT = 10 def _worker_process(result_queue, cls, method_name, step_cfg, context_cfg, input_params, aborted, output_queue): sequence = 1 runner_cfg = step_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() step = cls(step_cfg, context_cfg, input_params) if "setup" in run_step: step.setup() method = getattr(step, method_name) sla_action = None if "sla" in step_cfg: sla_action = step_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}) results = {} errors = [] fatal_error = False try: output = method(results) if output: # 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(output, True, QUEUE_PUT_TIMEOUT) except AssertionError as assertion: # SLA validation failed in step, determine what to do now if sla_action == "assert": raise elif sla_action == "monitor": LOG.warning("SLA validation failed: %s", assertion.args) errors.append(assertion.args) elif sla_action == "rate-control": try: step_cfg['options']['rate'] except KeyError: step_cfg.setdefault('options', {}) step_cfg['options']['rate'] = 100 step_cfg['options']['rate'] -= delta sequence = 1 continue except Exception: errors.append(traceback.format_exc()) LOG.exception("") LOG.info("Abort the task") fatal_error = True time.sleep(interval) step_results = { 'timestamp': time.time(), 'sequence': sequence, 'data': results, 'errors': errors } result_queue.put(step_results, 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 \ (sequence > iterations or aborted.is_set()) or fatal_error: LOG.info("worker END") break 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", result_queue.qsize()) LOG.debug("output_queue.qsize() = %s", output_queue.qsize()) if fatal_error: raise SystemExit(1) class IterationRunner(base.Runner): """Run a step for a configurable number of times If the step ends before the time has elapsed, it will be started again. Parameters iterations - amount of times the step will be run for type: int unit: na default: 1 interval - time to wait between each step invocation type: int unit: seconds default: 1 sec """ __execution_type__ = 'Iteration' def _run_step(self, cls, method, step_cfg, context_cfg, input_params): 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, input_params, self.aborted, self.output_queue)) self.process.start()