############################################################################## # 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 arithmetically steps a specified input value to the scenario. This just means a step value is added to the previous value. ''' 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, scenario_cfg): sequence = 1 runner_cfg = scenario_cfg['runner'] interval = runner_cfg.get("interval", 1) arg_name = runner_cfg.get('name') stop = runner_cfg.get('stop') step = runner_cfg.get('step') options = scenario_cfg['options'] start = options.get(arg_name, 0) runner_cfg['runner_id'] = os.getpid() LOG.info("worker START, step(%s, %d, %d, %d), class %s", arg_name, start, stop, step, cls) benchmark = cls(runner_cfg) benchmark.setup() method = getattr(benchmark, method_name) queue.put({'runner_id': runner_cfg['runner_id'], 'scenario_cfg': scenario_cfg}) sla_action = None if "sla" in scenario_cfg: sla_action = scenario_cfg["sla"].get("action", "assert") margin = 1 if step > 0 else -1 for value in range(start, stop+margin, step): options[arg_name] = value LOG.debug("runner=%(runner)s seq=%(sequence)s START" % {"runner": runner_cfg["runner_id"], "sequence": sequence}) data = {} errors = "" try: data = method(scenario_cfg) 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 } record = {'runner_id': runner_cfg['runner_id'], 'benchmark': benchmark_output} queue.put(record) LOG.debug("runner=%(runner)s seq=%(sequence)s END" % {"runner": runner_cfg["runner_id"], "sequence": sequence}) sequence += 1 if errors: break benchmark.teardown() LOG.info("worker END") class ArithmeticRunner(base.Runner): '''Run a scenario arithmetically stepping an input value Parameters interval - time to wait between each scenario invocation type: int unit: seconds default: 1 sec name - name of scenario option that will be increased for each invocation type: string unit: na default: none start - value to use in first invocation of scenario type: int unit: na default: none step - value added to start value in next invocation of scenario type: int unit: na default: none stop - value indicating end of invocation type: int unit: na default: none ''' __execution_type__ = 'Arithmetic' def _run_benchmark(self, cls, method, scenario_cfg): self.process = multiprocessing.Process( target=_worker_process, args=(self.result_queue, cls, method, scenario_cfg)) self.process.start()