The "duration" runner will run a test for an amount of time.
The "arithmetic" runner will increase an input value of the test for
every run until a limit is reached.
Change-Id: I31c9864604110ce3f5d19ec110144d1c886c7620
JIRA: -
Signed-off-by: Hans Feldt <hans.feldt@ericsson.com>
--- /dev/null
+##############################################################################
+# 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, context, scenario_args):
+
+ sequence = 1
+
+ benchmark = cls(context)
+ method = getattr(benchmark, method_name)
+
+ 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)
+
+ context['runner'] = os.getpid()
+
+ LOG.info("worker START, step(%s, %d, %d, %d), class %s",
+ arg_name, start, stop, step, cls)
+
+ 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):
+
+ 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
+
+ LOG.info("worker END")
+
+
+class ArithmeticRunner(base.Runner):
+
+ __execution_type__ = 'Arithmetic'
+
+ 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()
--- /dev/null
+##############################################################################
+# 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
+##############################################################################
+
+import importlib
+import multiprocessing
+import json
+import logging
+
+log = logging.getLogger(__name__)
+
+import yardstick.common.utils as utils
+from yardstick.benchmark.scenarios import base as base_scenario
+
+
+def _output_serializer_main(filename, queue):
+ '''entrypoint for the singleton subprocess writing to outfile
+ Use of this process enables multiple instances of a scenario without
+ messing up the output file.
+ '''
+ with open(filename, 'w') as outfile:
+ while True:
+ # blocks until data becomes available
+ record = queue.get()
+ if record == '_TERMINATE_':
+ outfile.close()
+ break
+ else:
+ json.dump(record, outfile)
+ outfile.write('\n')
+
+
+class Runner(object):
+ queue = None
+ dump_process = None
+ runners = []
+
+ @staticmethod
+ def _get_cls(runner_type):
+ for runner in utils.itersubclasses(Runner):
+ if runner_type == runner.__execution_type__:
+ return runner
+ raise RuntimeError("No such runner_type %s" % runner_type)
+
+ @staticmethod
+ def get(config):
+ """Returns instance of a scenario runner for execution type.
+ """
+ # if there is no runner, start the output serializer subprocess
+ if len(Runner.runners) == 0:
+ log.debug("Starting dump process file '%s'" %
+ config["output_filename"])
+ Runner.queue = multiprocessing.Queue()
+ Runner.dump_process = multiprocessing.Process(
+ target=_output_serializer_main,
+ name="Dumper",
+ args=(config["output_filename"], Runner.queue))
+ Runner.dump_process.start()
+
+ return Runner._get_cls(config["type"])(config, Runner.queue)
+
+ @staticmethod
+ def release(runner):
+ '''Release the runner'''
+ Runner.runners.remove(runner)
+ # if this was the last runner, stop the output serializer subprocess
+ if len(Runner.runners) == 0:
+ log.debug("Stopping dump process")
+ Runner.queue.put('_TERMINATE_')
+ Runner.dump_process.join()
+
+ def __init__(self, config, queue):
+ self.context = {}
+ self.config = config
+ self.result_queue = queue
+ Runner.runners.append(self)
+
+ def run(self, scenario_type, scenario_args):
+ class_name = base_scenario.Scenario.get(scenario_type)
+ path_split = class_name.split(".")
+ module_path = ".".join(path_split[:-1])
+ module = importlib.import_module(module_path)
+ cls = getattr(module, path_split[-1])
+
+ self.config['object'] = class_name
+ self._run_benchmark(cls, "run", scenario_args)
+
+ def join(self):
+ self.process.join()
--- /dev/null
+##############################################################################
+# 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 runs a specific time before it returns
+'''
+
+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
+
+ benchmark = cls(context)
+ method = getattr(benchmark, method_name)
+ interval = context.get("interval", 1)
+ duration = context.get("duration", 60)
+ context['runner'] = os.getpid()
+
+ LOG.info("worker START, duration %d sec, class %s", duration, cls)
+
+ record_context = {"runner": context["runner"],
+ "host": context["host"]}
+
+ sla_action = None
+ if "sla" in scenario_args:
+ sla_action = scenario_args["sla"].get("action", "assert")
+
+ start = time.time()
+ 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 (time.time() - start > duration):
+ LOG.info("worker END")
+ return
+
+
+class DurationRunner(base.Runner):
+
+ __execution_type__ = 'Duration'
+
+ 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()
Code Review / yardstick.git / commitdiff