############################################################################## # Copyright (c) 2015 Ericsson AB 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 every run changes a specified input value to the scenario. The input value in the sequence is specified in a list in the input file. ''' 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, context, scenario_args): sequence = 1 interval = context.get("interval", 1) arg_name = context.get('scenario_option_name') sequence_values = context.get('sequence') if 'options' not in scenario_args: scenario_args['options'] = {} options = scenario_args['options'] context['runner'] = os.getpid() LOG.info("worker START, sequence_values(%s, %s), class %s", arg_name, sequence_values, cls) benchmark = cls(context) benchmark.setup() method = getattr(benchmark, method_name) record_context = {"runner": context["runner"], "host": context["host"]} sla_action = None if "sla" in scenario_args: sla_action = scenario_args["sla"].get("action", "assert") for value in sequence_values: options[arg_name] = value LOG.debug("runner=%(runner)s seq=%(sequence)s START" % {"runner": context["runner"], "sequence": sequence}) data = {} errors = "" try: data = method(scenario_args) 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 } queue.put({'context': record_context, 'sargs': scenario_args, 'benchmark': benchmark_output}) LOG.debug("runner=%(runner)s seq=%(sequence)s END" % {"runner": context["runner"], "sequence": sequence}) sequence += 1 if errors: break benchmark.teardown() LOG.info("worker END") class SequenceRunner(base.Runner): '''Run a scenario by changing an input value defined in a list Parameters interval - time to wait between each scenario invocation type: int unit: seconds default: 1 sec scenario_option_name - name of the option that is increased each invocation type: string unit: na default: none sequence - list of values which are executed in their respective scenarios type: [int] unit: na default: none ''' __execution_type__ = 'Sequence' def _run_benchmark(self, cls, method, scenario_args): self.process = multiprocessing.Process( target=_worker_process, args=(self.result_queue, cls, method, self.config, scenario_args)) self.process.start()