# under the License.
#
-from __init__ import __version__
import argparse
+from collections import defaultdict
+import copy
+import datetime
+import importlib
+import json
+import os
+import sys
+import traceback
+
from attrdict import AttrDict
+import pbr.version
+from pkg_resources import resource_string
+
+from __init__ import __version__
from chain_runner import ChainRunner
-from collections import defaultdict
from config import config_load
from config import config_loads
-import copy
-import credentials
-import datetime
+import credentials as credentials
from factory import BasicFactory
from fluentd import FluentLogHandler
-import importlib
-import json
import log
from log import LOG
from nfvbenchd import WebSocketIoServer
-import os
-import pbr.version
-from pkg_resources import resource_string
from specs import ChainType
from specs import Specs
from summarizer import NFVBenchSummarizer
-import sys
-import traceback
from traffic_client import TrafficGeneratorFactory
import utils
+
fluent_logger = None
+
class NFVBench(object):
"""Main class of NFV benchmarking tool."""
STATUS_OK = 'OK'
def set_notifier(self, notifier):
self.notifier = notifier
- def run(self, opts):
+ def run(self, opts, args):
status = NFVBench.STATUS_OK
result = None
message = ''
# take a snapshot of the current time for this new run
# so that all subsequent logs can relate to this run
fluent_logger.start_new_run()
+ LOG.info(args)
try:
self.update_config(opts)
self.setup()
if self.chain_runner:
self.chain_runner.close()
- if status == NFVBench.STATUS_OK:
- result = utils.dict_to_json_dict(result)
- return {
- 'status': status,
- 'result': result
- }
- else:
- return {
- 'status': status,
- 'error_message': message
- }
-
- def print_summary(self, result):
- """Print summary of the result"""
- summary = NFVBenchSummarizer(result)
+ if status == NFVBench.STATUS_OK:
+ result = utils.dict_to_json_dict(result)
+ return {
+ 'status': status,
+ 'result': result
+ }
+ return {
+ 'status': status,
+ 'error_message': message
+ }
+
+ def prepare_summary(self, result):
+ """Prepares summary of the result to print and send it to logger (eg: fluentd)"""
+ global fluent_logger
+ sender = None
+ if self.config.fluentd.result_tag:
+ sender = FluentLogHandler(self.config.fluentd.result_tag,
+ fluentd_ip=self.config.fluentd.ip,
+ fluentd_port=self.config.fluentd.port)
+ sender.runlogdate = fluent_logger.runlogdate
+ summary = NFVBenchSummarizer(result, sender)
LOG.info(str(summary))
def save(self, result):
self.config.flow_count = utils.parse_flow_count(self.config.flow_count)
required_flow_count = self.config.service_chain_count * 2
if self.config.flow_count < required_flow_count:
- LOG.info("Flow count '{}' has been set to minimum value of '{}' "
- "for current configuration".format(self.config.flow_count,
- required_flow_count))
+ LOG.info("Flow count %d has been set to minimum value of '%d' "
+ "for current configuration", self.config.flow_count,
+ required_flow_count)
self.config.flow_count = required_flow_count
if self.config.flow_count % 2 != 0:
"({tg_profile}) are missing. Please specify them in configuration file."
.format(tg_profile=self.config.generator_profile))
- if self.config.traffic is None or len(self.config.traffic) == 0:
+ if self.config.traffic is None or not self.config.traffic:
raise Exception("No traffic profile found in traffic configuration, "
"please fill 'traffic' section in configuration file.")
self.config.json_file = self.config.json if self.config.json else None
if self.config.json_file:
- (path, filename) = os.path.split(self.config.json)
+ (path, _filename) = os.path.split(self.config.json)
if not os.path.exists(path):
raise Exception('Please provide existing path for storing results in JSON file. '
'Path used: {path}'.format(path=path))
action='store',
help='Traffic generator profile to use')
- parser.add_argument('-i', '--image', dest='image_name',
- action='store',
- help='VM image name to use')
-
parser.add_argument('-0', '--no-traffic', dest='no_traffic',
default=None,
action='store_true',
help='Filename for saving logs',
metavar='<log_file>')
+ parser.add_argument('--user-label', '--userlabel', dest='user_label',
+ action='store',
+ help='Custom label for performance records')
+
opts, unknown_opts = parser.parse_known_args()
return opts, unknown_opts
"profile": traffic_profile_name
}
+
def check_physnet(name, netattrs):
if not netattrs.physical_network:
raise Exception("SRIOV requires physical_network to be specified for the {n} network"
raise Exception("SRIOV requires segmentation_id to be specified for the {n} network"
.format(n=name))
+
def main():
global fluent_logger
+ run_summary_required = False
try:
log.setup()
# load default config file
if opts.summary:
with open(opts.summary) as json_data:
- print NFVBenchSummarizer(json.load(json_data))
+ result = json.load(json_data)
+ if opts.user_label:
+ result['config']['user_label'] = opts.user_label
+ if config.fluentd.result_tag:
+ sender = FluentLogHandler(config.fluentd.result_tag,
+ fluentd_ip=config.fluentd.ip,
+ fluentd_port=config.fluentd.port)
+ sender.runlogdate = fluent_logger.runlogdate
+ print NFVBenchSummarizer(result, sender)
+ else:
+ print NFVBenchSummarizer(result, None)
sys.exit(0)
# show default config in text/yaml format
if config.log_file:
log.add_file_logger(config.log_file)
- nfvbench = NFVBench(config, openstack_spec, config_plugin, factory)
+ nfvbench_instance = NFVBench(config, openstack_spec, config_plugin, factory)
if opts.server:
if os.path.isdir(opts.server):
- server = WebSocketIoServer(opts.server, nfvbench)
- nfvbench.set_notifier(server)
+ server = WebSocketIoServer(opts.server, nfvbench_instance, fluent_logger)
+ nfvbench_instance.set_notifier(server)
try:
port = int(opts.port)
except ValueError:
sys.exit(1)
else:
with utils.RunLock():
+ run_summary_required = True
if unknown_opts:
err_msg = 'Unknown options: ' + ' '.join(unknown_opts)
LOG.error(err_msg)
# remove unfilled values
opts = {k: v for k, v in vars(opts).iteritems() if v is not None}
- result = nfvbench.run(opts)
+ # get CLI args
+ params = ' '.join(str(e) for e in sys.argv[1:])
+ result = nfvbench_instance.run(opts, params)
if 'error_message' in result:
raise Exception(result['error_message'])
if 'result' in result and result['status']:
- nfvbench.save(result['result'])
- nfvbench.print_summary(result['result'])
+ nfvbench_instance.save(result['result'])
+ nfvbench_instance.prepare_summary(result['result'])
except Exception as exc:
+ run_summary_required = True
LOG.error({
'status': NFVBench.STATUS_ERROR,
'error_message': traceback.format_exc()
})
print str(exc)
- sys.exit(1)
+ finally:
+ if fluent_logger:
+ # only send a summary record if there was an actual nfvbench run or
+ # if an error/exception was logged.
+ fluent_logger.send_run_summary(run_summary_required)
+
if __name__ == '__main__':
main()
Code Review / nfvbench.git / blobdiff