-##############################################################################
-# Copyright (c) 2015 Huawei Technologies Co.,Ltd 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
-##############################################################################
+# 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 runs a configurable number of times before it returns
'''
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):
sequence = 1
- interval = context.get("interval", 1)
- iterations = context.get("iterations", 1)
+ runner_cfg = scenario_cfg['runner']
+
+ interval = runner_cfg.get("interval", 1)
+ 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)
- context['runner'] = os.getpid()
+ runner_cfg['runner_id'] = os.getpid()
+
+ benchmark = cls(scenario_cfg, context_cfg)
+ if "setup" in run_step:
+ benchmark.setup()
- benchmark = cls(context)
- benchmark.setup()
method = getattr(benchmark, method_name)
- record_context = {"runner": context["runner"],
- "host": context["host"]}
+ queue.put({'runner_id': runner_cfg['runner_id'],
+ 'scenario_cfg': scenario_cfg,
+ 'context_cfg': context_cfg})
sla_action = None
- if "sla" in scenario_args:
- sla_action = scenario_args["sla"].get("action", "assert")
-
- while True:
-
- 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 and sla_action is None) or (sequence > iterations):
- LOG.info("worker END")
- break
-
- benchmark.teardown()
+ if "sla" in scenario_cfg:
+ sla_action = scenario_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})
+
+ data = {}
+ errors = ""
+
+ try:
+ 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)
+ 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 and sla_action is None) or \
+ (sequence > iterations or aborted.is_set()):
+ LOG.info("worker END")
+ break
+ if "teardown" in run_step:
+ benchmark.teardown()
class IterationRunner(base.Runner):
'''
__execution_type__ = 'Iteration'
- def _run_benchmark(self, cls, method, scenario_args):
+ def _run_benchmark(self, cls, method, scenario_cfg, context_cfg):
self.process = multiprocessing.Process(
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.process.start()
Code Review / yardstick.git / blobdiff