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# Copyright 2014: Mirantis Inc.
# 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.
# yardstick comment: this is a modified copy of
# rally/rally/benchmark/runners/constant.py
"""A runner that runs a specific time before it returns
"""
from __future__ import absolute_import
import logging
import multiprocessing
import time
import traceback
from contextlib import contextmanager
from itertools import takewhile
import os
from collections import Mapping
from six.moves import zip
from yardstick.benchmark.runners import base
LOG = logging.getLogger(__name__)
class SearchRunnerHelper(object):
def __init__(self, cls, method_name, scenario_cfg, context_cfg, aborted):
super(SearchRunnerHelper, self).__init__()
self.cls = cls
self.method_name = method_name
self.scenario_cfg = scenario_cfg
self.context_cfg = context_cfg
self.aborted = aborted
self.runner_cfg = scenario_cfg['runner']
self.run_step = self.runner_cfg.get("run_step", "setup,run,teardown")
self.timeout = self.runner_cfg.get("timeout", 60)
self.interval = self.runner_cfg.get("interval", 1)
self.benchmark = None
self.method = None
def __call__(self, *args, **kwargs):
if self.method is None:
raise RuntimeError
return self.method(*args, **kwargs)
@contextmanager
def get_benchmark_instance(self):
self.benchmark = self.cls(self.scenario_cfg, self.context_cfg)
if 'setup' in self.run_step:
self.benchmark.setup()
self.method = getattr(self.benchmark, self.method_name)
LOG.info("worker START, timeout %d sec, class %s", self.timeout, self.cls)
try:
yield self
finally:
if 'teardown' in self.run_step:
self.benchmark.teardown()
def is_not_done(self):
if 'run' not in self.run_step:
raise StopIteration
max_time = time.time() + self.timeout
abort_iter = iter(self.aborted.is_set, True)
time_iter = takewhile(lambda t_now: t_now <= max_time, iter(time.time, -1))
for seq, _ in enumerate(zip(abort_iter, time_iter), 1):
yield seq
time.sleep(self.interval)
class SearchRunner(base.Runner):
"""Run a scenario for a certain amount of time
If the scenario ends before the time has elapsed, it will be started again.
Parameters
timeout - amount of time the scenario will be run for
type: int
unit: seconds
default: 1 sec
interval - time to wait between each scenario invocation
type: int
unit: seconds
default: 1 sec
"""
__execution_type__ = 'Search'
def __init__(self, config):
super(SearchRunner, self).__init__(config)
self.runner_cfg = None
self.runner_id = None
self.sla_action = None
self.worker_helper = None
def _worker_run_once(self, sequence):
LOG.debug("runner=%s seq=%s START", self.runner_id, sequence)
data = {}
errors = ""
try:
self.worker_helper(data)
except AssertionError as assertion:
# SLA validation failed in scenario, determine what to do now
if self.sla_action == "assert":
raise
elif self.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)
record = {
'runner_id': self.runner_id,
'benchmark': {
'timestamp': time.time(),
'sequence': sequence,
'data': data,
'errors': errors,
},
}
self.result_queue.put(record)
LOG.debug("runner=%s seq=%s END", self.runner_id, sequence)
# Have to search through all the VNF KPIs
kpi_done = any(kpi.get('done') for kpi in data.values() if isinstance(kpi, Mapping))
return kpi_done or (errors and self.sla_action is None)
def _worker_run(self, cls, method_name, scenario_cfg, context_cfg):
self.runner_cfg = scenario_cfg['runner']
self.runner_id = self.runner_cfg['runner_id'] = os.getpid()
self.worker_helper = SearchRunnerHelper(cls, method_name, scenario_cfg,
context_cfg, self.aborted)
try:
self.sla_action = scenario_cfg['sla'].get('action', 'assert')
except KeyError:
self.sla_action = None
self.result_queue.put({
'runner_id': self.runner_id,
'scenario_cfg': scenario_cfg,
'context_cfg': context_cfg
})
with self.worker_helper.get_benchmark_instance():
for sequence in self.worker_helper.is_not_done():
if self._worker_run_once(sequence):
LOG.info("worker END")
break
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=self._worker_run,
args=(cls, method, scenario_cfg, context_cfg))
self.process.start()
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