X-Git-Url: https://gerrit.opnfv.org/gerrit/gitweb?a=blobdiff_plain;f=yardstick%2Fbenchmark%2Frunners%2Farithmetic.py;h=6aaaed888930d6f10008eb732635a21cb73e4854;hb=0b340735f2a37b9a05d3d86f79aa706b3e43bb5d;hp=acf14d08ab7358ecbf1c8e888bf923111d618bdf;hpb=508e01d81a96c8ede773e6d0dd332892e9600ea7;p=yardstick.git diff --git a/yardstick/benchmark/runners/arithmetic.py b/yardstick/benchmark/runners/arithmetic.py old mode 100644 new mode 100755 index acf14d08a..6aaaed888 --- a/yardstick/benchmark/runners/arithmetic.py +++ b/yardstick/benchmark/runners/arithmetic.py @@ -1,76 +1,123 @@ -############################################################################## -# Copyright (c) 2015 Ericsson AB and others. +# Copyright 2014: Mirantis Inc. +# All Rights Reserved. # -# 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 +# 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 every run arithmetically steps specified input value(s) to +the scenario. This just means step value(s) is added to the previous value(s). +It is possible to combine several named input values and run with those either +as nested for loops or combine each i:th index of each "input value list" +until the end of the shortest list is reached (optimally all lists should be +defined with the same number of values when using such iter_type). +""" + +from __future__ import absolute_import + +import itertools import logging -import traceback +import multiprocessing +import os import time +import traceback + +import six +from six.moves import range from yardstick.benchmark.runners import base LOG = logging.getLogger(__name__) -def _worker_process(queue, cls, method_name, context, scenario_args): +def _worker_process(queue, cls, method_name, scenario_cfg, + context_cfg, aborted, output_queue): sequence = 1 - interval = context.get("interval", 1) - arg_name = context.get('name') - stop = context.get('stop') - step = context.get('step') - options = scenario_args['options'] - start = options.get(arg_name, 0) + runner_cfg = scenario_cfg['runner'] + + interval = runner_cfg.get("interval", 1) + if 'options' in scenario_cfg: + options = scenario_cfg['options'] + else: # options must be instatiated if not present in yaml + options = {} + scenario_cfg['options'] = options - context['runner'] = os.getpid() + runner_cfg['runner_id'] = os.getpid() - LOG.info("worker START, step(%s, %d, %d, %d), class %s", - arg_name, start, stop, step, cls) + LOG.info("worker START, class %s", cls) - benchmark = cls(context) + benchmark = cls(scenario_cfg, context_cfg) 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 range(start, stop+step, step): + if "sla" in scenario_cfg: + sla_action = scenario_cfg["sla"].get("action", "assert") + + # To both be able to include the stop value and handle backwards stepping + def margin(start, stop): + return -1 if start > stop else 1 + + param_iters = \ + [range(d['start'], d['stop'] + margin(d['start'], d['stop']), + d['step']) for d in runner_cfg['iterators']] + param_names = [d['name'] for d in runner_cfg['iterators']] + + iter_type = runner_cfg.get("iter_type", "nested_for_loops") + + if iter_type == 'nested_for_loops': + # Create a complete combination set of all parameter lists + loop_iter = itertools.product(*param_iters) + elif iter_type == 'tuple_loops': + # Combine each i;th index of respective parameter list + loop_iter = six.moves.zip(*param_iters) + else: + LOG.warning("iter_type unrecognized: %s", iter_type) + raise TypeError("iter_type unrecognized: %s", iter_type) + + # Populate options and run the requested method for each value combination + for comb_values in loop_iter: + + if aborted.is_set(): + break - options[arg_name] = value + LOG.debug("runner=%(runner)s seq=%(sequence)s START", + {"runner": runner_cfg["runner_id"], "sequence": sequence}) - LOG.debug("runner=%(runner)s seq=%(sequence)s START" % - {"runner": context["runner"], "sequence": sequence}) + for i, value in enumerate(comb_values): + options[param_names[i]] = value data = {} errors = "" try: - data = method(scenario_args) + result = method(data) 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) + LOG.warning("SLA validation failed: %s", assertion.args) errors = assertion.args except Exception as e: errors = traceback.format_exc() LOG.exception(e) + else: + if result: + output_queue.put(result) time.sleep(interval) @@ -81,27 +128,73 @@ def _worker_process(queue, cls, method_name, context, scenario_args): 'errors': errors } - queue.put({'context': record_context, 'sargs:': scenario_args, - 'benchmark': benchmark_output}) + queue.put(benchmark_output) - LOG.debug("runner=%(runner)s seq=%(sequence)s END" % - {"runner": context["runner"], "sequence": sequence}) + LOG.debug("runner=%(runner)s seq=%(sequence)s END", + {"runner": runner_cfg["runner_id"], "sequence": sequence}) sequence += 1 - if errors: + if errors and sla_action is None: break - benchmark.teardown() + 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.info("worker END") + LOG.debug("queue.qsize() = %s", queue.qsize()) + LOG.debug("output_queue.qsize() = %s", output_queue.qsize()) class ArithmeticRunner(base.Runner): + """Run a scenario arithmetically stepping input value(s) + + Parameters + interval - time to wait between each scenario invocation + type: int + unit: seconds + default: 1 sec + iter_type: - Iteration type of input parameter(s): nested_for_loops + or tuple_loops + type: string + unit: na + default: nested_for_loops + - + name - name of scenario option that will be increased for each invocation + type: string + unit: na + default: na + start - value to use in first invocation of scenario + type: int + unit: na + default: none + stop - value indicating end of invocation. Can be set to same + value as start for one single value. + type: int + unit: na + default: none + step - value added to start value in next invocation of scenario. + Must not be set to zero. Can be set negative if start > stop + type: int + unit: na + default: none + - + name - and so on...... + """ __execution_type__ = 'Arithmetic' - def _run_benchmark(self, cls, method, scenario_args): + 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, self.config, scenario_args)) + args=(self.result_queue, cls, method, scenario_cfg, + context_cfg, self.aborted, self.output_queue)) self.process.start()