203 lines
9.6 KiB
Python
203 lines
9.6 KiB
Python
# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import ast
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import datetime
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import glob
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import logging
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import os
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import shutil
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import subprocess
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import time
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import browbeat.tools
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from browbeat import elastic
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from browbeat import grafana
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from browbeat.path import get_overcloudrc
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from browbeat.path import get_workload_venv
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from browbeat.path import results_path
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from browbeat.workloads import base
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class PerfKit(base.WorkloadBase):
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def __init__(self, config, result_dir_ts):
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self.logger = logging.getLogger('browbeat.perfkit')
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self.overcloudrc = get_overcloudrc()
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self.config = config
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self.result_dir_ts = result_dir_ts
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self.tools = browbeat.tools.Tools(self.config)
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self.grafana = grafana.Grafana(self.config)
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self.elastic = elastic.Elastic(self.config, self.__class__.__name__.lower())
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def string_to_dict(self, string):
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"""Function for converting "|" quoted hash data into python dictionary."""
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dict_data = {}
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split_data = string.split('|,|')
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split_data[0] = split_data[0][1:]
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split_data[-1] = split_data[-1][:-1]
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for item in split_data:
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split_item = item.replace('.', '_').split(':', 1)
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dict_data[split_item[0]] = ast.literal_eval("'" + split_item[1] + "'")
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return dict_data
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def get_error_details(self, result_dir):
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error_details = []
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with open('{}/pkb.stderr.log'.format(result_dir)) as perfkit_stderr:
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for line in perfkit_stderr:
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if 'ERROR' in line or 'Error' in line or 'Exception' in line:
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error_details.append(line)
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return error_details
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def index_results(self, sucessful_run, result_dir, test_name, browbeat_rerun, benchmark_config):
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es_ts = datetime.datetime.utcnow()
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index_success = True
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if sucessful_run:
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# PerfKit json is newline delimited and thus each newline json needs to be indexed
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with open('{}/perfkitbenchmarker_results.json'.format(result_dir)) \
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as perfkit_results_json:
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for result_count, json_result in enumerate(perfkit_results_json):
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complete_result_json = {'browbeat_scenario': benchmark_config}
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complete_result_json['results'] = {'unit': {}, 'value': {}}
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single_result = self.elastic.load_json(json_result.strip())
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complete_result_json['browbeat_rerun'] = browbeat_rerun
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complete_result_json['timestamp'] = str(es_ts).replace(" ", "T")
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complete_result_json['grafana_url'] = self.grafana.grafana_urls()
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complete_result_json['perfkit_setup'] = \
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self.string_to_dict(single_result['labels'])
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result_metric = single_result['metric'].lower().replace(' ', '_'). \
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replace('.', '_')
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complete_result_json['results']['value'][result_metric] = single_result['value']
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complete_result_json['results']['unit'][result_metric] = single_result['unit']
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result = self.elastic.combine_metadata(complete_result_json)
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if not self.elastic.index_result(result, test_name, result_dir,
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str(result_count), 'result'):
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index_success = False
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self.update_index_failures()
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else:
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complete_result_json = {'browbeat_scenario': benchmark_config}
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complete_result_json['perfkit_errors'] = self.get_error_details(result_dir)
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complete_result_json['browbeat_rerun'] = browbeat_rerun
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complete_result_json['timestamp'] = str(es_ts).replace(" ", "T")
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complete_result_json['grafana_url'] = self.grafana.grafana_urls()
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result = self.elastic.combine_metadata(complete_result_json)
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index_success = self.elastic.index_result(result, test_name, result_dir, _type='error')
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return index_success
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def run_benchmark(self, benchmark_config, result_dir, test_name, cloud_type="OpenStack"):
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self.logger.debug("--------------------------------")
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self.logger.debug("Benchmark_config: {}".format(benchmark_config))
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self.logger.debug("result_dir: {}".format(result_dir))
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self.logger.debug("test_name: {}".format(test_name))
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self.logger.debug("--------------------------------")
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# Build command to run
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if 'enabled' in benchmark_config:
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del benchmark_config['enabled']
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if 'type' in benchmark_config:
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del benchmark_config['type']
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cmd = ("source {0}; source {1}; "
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"{2}/PerfKitBenchmarker/pkb.py "
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"--cloud={3} --run_uri=browbeat".format(
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get_workload_venv('perfkit', True),
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self.overcloudrc,
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get_workload_venv('perfkit', False), cloud_type))
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for parameter, value in benchmark_config.iteritems():
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if not parameter == 'name':
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self.logger.debug(
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"Parameter: {}, Value: {}".format(parameter, value))
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cmd += " --{}={}".format(parameter, value)
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# Remove any old results
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if os.path.exists("/tmp/perfkitbenchmarker/runs/browbeat"):
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shutil.rmtree("/tmp/perfkitbenchmarker/runs/browbeat")
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self.logger.info("Running Perfkit Command: {}".format(cmd))
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stdout_file = open("{}/pkb.stdout.log".format(result_dir), 'w')
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stderr_file = open("{}/pkb.stderr.log".format(result_dir), 'w')
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from_ts = time.time()
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if 'sleep_before' in self.config['perfkit']:
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time.sleep(self.config['perfkit']['sleep_before'])
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process = subprocess.Popen(
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cmd, shell=True, stdout=stdout_file, stderr=stderr_file)
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process.communicate()
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if 'sleep_after' in self.config['perfkit']:
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time.sleep(self.config['perfkit']['sleep_after'])
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to_ts = time.time()
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# Determine success
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success = False
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try:
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with open("{}/pkb.stderr.log".format(result_dir), 'r') as stderr:
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if any('SUCCEEDED' in line for line in stderr):
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self.logger.info("Benchmark completed.")
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success = True
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else:
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self.logger.error("Benchmark failed.")
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except IOError:
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self.logger.error(
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"File missing: {}/pkb.stderr.log".format(result_dir))
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# Copy all results
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for perfkit_file in glob.glob("/tmp/perfkitbenchmarker/runs/browbeat/*"):
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shutil.move(perfkit_file, result_dir)
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if os.path.exists("/tmp/perfkitbenchmarker/runs/browbeat"):
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shutil.rmtree("/tmp/perfkitbenchmarker/runs/browbeat")
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# Grafana integration
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self.grafana.create_grafana_urls(
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{'from_ts': int(from_ts * 1000),
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'to_ts': int(to_ts * 1000)})
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self.grafana.print_dashboard_url(test_name)
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return success, to_ts, from_ts
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def run_workload(self, workload, run_iteration):
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self.logger.info("Starting PerfKitBenchmarker Workloads.")
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time_stamp = datetime.datetime.utcnow().strftime("%Y%m%d-%H%M%S")
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self.logger.debug("Time Stamp (Prefix): {}".format(time_stamp))
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self.logger.info("Benchmark: {}".format(workload['name']))
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self.update_total_scenarios()
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# Add default parameters as necessary
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for default_item, value in self.config['perfkit']['default'].iteritems():
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if default_item not in workload:
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workload[default_item] = value
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# Correct iteration/rerun
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rerun_range = range(self.config["browbeat"]["rerun"])
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if self.config["browbeat"]["rerun_type"] == "complete":
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rerun_range = range(run_iteration, run_iteration + 1)
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for run in rerun_range:
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self.update_total_tests()
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result_dir = self.tools.create_results_dir(
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results_path, self.result_dir_ts, workload['name'], str(run))
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test_name = "{}-{}-{}".format(time_stamp, workload['name'], run)
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self.workload_logger(self.__class__.__name__)
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success, to_ts, from_ts = self.run_benchmark(workload, result_dir, test_name)
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index_success = 'disabled'
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if self.config['elasticsearch']['enabled']:
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index_success = self.index_results(success, result_dir, test_name, run, workload)
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new_test_name = test_name.split('-')
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new_test_name = new_test_name[2:]
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new_test_name = '-'.join(new_test_name)
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if success:
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self.update_total_pass_tests()
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self.get_time_dict(to_ts, from_ts, workload['benchmarks'],
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new_test_name, self.__class__.__name__, "pass",
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index_success)
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else:
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self.update_total_fail_tests()
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self.get_time_dict(to_ts, from_ts, workload['benchmarks'],
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new_test_name, self.__class__.__name__, "fail",
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index_success)
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