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Diffstat (limited to 'yardstick/benchmark/runners/iteration_ipc.py')
| -rw-r--r-- | yardstick/benchmark/runners/iteration_ipc.py | 205 |
1 files changed, 205 insertions, 0 deletions
diff --git a/yardstick/benchmark/runners/iteration_ipc.py b/yardstick/benchmark/runners/iteration_ipc.py new file mode 100644 index 000000000..a0335fdc7 --- /dev/null +++ b/yardstick/benchmark/runners/iteration_ipc.py @@ -0,0 +1,205 @@ +# Copyright 2018: Intel Corporation +# 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. + +"""A runner that runs a configurable number of times before it returns. Each + iteration has a configurable timeout. The loop control depends on the + feedback received from the running VNFs. The context PIDs from the VNFs + to listen the messages from are given in the scenario "setup" method. +""" + +import logging +import multiprocessing +import time +import traceback + +import os + +from yardstick.benchmark.runners import base as base_runner +from yardstick.common import exceptions +from yardstick.common import messaging +from yardstick.common import utils +from yardstick.common.messaging import consumer +from yardstick.common.messaging import payloads + + +LOG = logging.getLogger(__name__) + +QUEUE_PUT_TIMEOUT = 10 +ITERATION_TIMEOUT = 180 + + +class RunnerIterationIPCEndpoint(consumer.NotificationHandler): + """Endpoint class for ``RunnerIterationIPCConsumer``""" + + def tg_method_started(self, ctxt, **kwargs): + if ctxt['id'] in self._ctx_ids: + self._queue.put( + {'id': ctxt['id'], + 'action': messaging.TG_METHOD_STARTED, + 'payload': payloads.TrafficGeneratorPayload.dict_to_obj( + kwargs)}, + QUEUE_PUT_TIMEOUT) + + def tg_method_finished(self, ctxt, **kwargs): + if ctxt['id'] in self._ctx_ids: + self._queue.put( + {'id': ctxt['id'], + 'action': messaging.TG_METHOD_FINISHED, + 'payload': payloads.TrafficGeneratorPayload.dict_to_obj( + kwargs)}) + + def tg_method_iteration(self, ctxt, **kwargs): + if ctxt['id'] in self._ctx_ids: + self._queue.put( + {'id': ctxt['id'], + 'action': messaging.TG_METHOD_ITERATION, + 'payload': payloads.TrafficGeneratorPayload.dict_to_obj( + kwargs)}) + + +class RunnerIterationIPCConsumer(consumer.MessagingConsumer): + """MQ consumer for "IterationIPC" runner""" + + def __init__(self, _id, ctx_ids): + self._id = _id + self._queue = multiprocessing.Queue() + endpoints = [RunnerIterationIPCEndpoint(_id, ctx_ids, self._queue)] + super(RunnerIterationIPCConsumer, self).__init__( + messaging.TOPIC_TG, ctx_ids, endpoints) + self._kpi_per_id = {ctx: [] for ctx in ctx_ids} + self.iteration_index = None + + def is_all_kpis_received_in_iteration(self): + """Check if all producers registered have sent the ITERATION msg + + During the present iteration, all producers (traffic generators) must + start and finish the traffic injection, and at the end of the traffic + injection a TG_METHOD_ITERATION must be sent. This function will check + all KPIs in the present iteration are received. E.g.: + self.iteration_index = 2 + + self._kpi_per_id = { + 'ctx1': [kpi0, kpi1, kpi2], + 'ctx2': [kpi0, kpi1]} --> return False + + self._kpi_per_id = { + 'ctx1': [kpi0, kpi1, kpi2], + 'ctx2': [kpi0, kpi1, kpi2]} --> return True + """ + while not self._queue.empty(): + msg = self._queue.get(True, 1) + if msg['action'] == messaging.TG_METHOD_ITERATION: + id_iter_list = self._kpi_per_id[msg['id']] + id_iter_list.append(msg['payload'].kpi) + + return all(len(id_iter_list) == self.iteration_index + for id_iter_list in self._kpi_per_id.values()) + + +def _worker_process(queue, cls, method_name, scenario_cfg, + context_cfg, aborted, output_queue): # pragma: no cover + runner_cfg = scenario_cfg['runner'] + + timeout = runner_cfg.get('timeout', ITERATION_TIMEOUT) + iterations = runner_cfg.get('iterations', 1) + run_step = runner_cfg.get('run_step', 'setup,run,teardown') + LOG.info('Worker START. Iterations %d times, class %s', iterations, cls) + + runner_cfg['runner_id'] = os.getpid() + + benchmark = cls(scenario_cfg, context_cfg) + method = getattr(benchmark, method_name) + + if 'setup' not in run_step: + raise exceptions.RunnerIterationIPCSetupActionNeeded() + benchmark.setup() + producer_ctxs = benchmark.get_mq_ids() + if not producer_ctxs: + raise exceptions.RunnerIterationIPCNoCtxs() + + mq_consumer = RunnerIterationIPCConsumer(os.getpid(), producer_ctxs) + mq_consumer.start_rpc_server() + mq_producer = base_runner.RunnerProducer(scenario_cfg['task_id']) + + iteration_index = 1 + while 'run' in run_step: + LOG.debug('runner=%(runner)s seq=%(sequence)s START', + {'runner': runner_cfg['runner_id'], + 'sequence': iteration_index}) + data = {} + result = None + errors = '' + mq_consumer.iteration_index = iteration_index + mq_producer.start_iteration() + + try: + utils.wait_until_true( + mq_consumer.is_all_kpis_received_in_iteration, + timeout=timeout, sleep=2) + result = method(data) + except Exception: # pylint: disable=broad-except + errors = traceback.format_exc() + LOG.exception(errors) + + mq_producer.stop_iteration() + + if result: + output_queue.put(result, True, QUEUE_PUT_TIMEOUT) + benchmark_output = {'timestamp': time.time(), + 'sequence': iteration_index, + 'data': data, + 'errors': errors} + queue.put(benchmark_output, True, QUEUE_PUT_TIMEOUT) + + LOG.debug('runner=%(runner)s seq=%(sequence)s END', + {'runner': runner_cfg['runner_id'], + 'sequence': iteration_index}) + + iteration_index += 1 + if iteration_index > iterations or aborted.is_set(): + LOG.info('"IterationIPC" worker END') + break + + if 'teardown' in run_step: + try: + benchmark.teardown() + except Exception: + LOG.exception('Exception during teardown process') + mq_consumer.stop_rpc_server() + raise SystemExit(1) + + LOG.debug('Data queue size = %s', queue.qsize()) + LOG.debug('Output queue size = %s', output_queue.qsize()) + mq_consumer.stop_rpc_server() + + +class IterationIPCRunner(base_runner.Runner): + """Run a scenario for a configurable number of times. + + Each iteration has a configurable timeout. The loop control depends on the + feedback received from the running VNFs. The context PIDs from the VNFs to + listen the messages from are given in the scenario "setup" method. + """ + __execution_type__ = 'IterationIPC' + + 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() |