def run(args):
"""
Run a test with the specified parameters, and return the HTTP Archive
(HAR) File represented as a dictionary.
"""
har_gen = FlowProfiler(args.testfile, int(args.iterations)) \
if args.iterations else FlowProfiler(args.testfile)
# profiling_results is a list of lists containing HARs for each page in a run
profiling_results = har_gen.profile()
if args.average:
return [merge_by_average(page_results) \
for page_results in zip(*profiling_results)]
else:
return profiling_results[-1]
def run(args):
"""
Run a test with the specified parameters, and return the HTTP Archive
(HAR) File represented as a dictionary.
"""
har_gen = FlowProfiler(args.testfile, int(args.iterations)) \
if args.iterations else FlowProfiler(args.testfile)
# profiling_results is a list of lists containing HARs for each page in a run
profiling_results = har_gen.profile()
if args.average:
return [merge_by_average(page_results) \
for page_results in zip(*profiling_results)]
else:
return profiling_results[-1]
'-p',
'--report',
action='store_true',
help='Call make_report.py to make a report and open it')
args = arg_parser.parse_args()
har_gen = FlowProfiler(args.testfile, int(
args.iterations)) if args.iterations else FlowProfiler(args.testfile)
# profiling_results is a list of lists containing HARs for each page in a run
profiling_results = har_gen.profile()
if args.average:
chosen_result = [
merge_by_average(page_results)
for page_results in zip(*profiling_results)
]
else:
chosen_result = profiling_results[-1]
result_text = json.dumps(chosen_result)
filename = args.filename or 'data_{0}.json'.format(int(time.time()))
if args.outputdir:
output_file = os.path.join(args.outputdir, filename)
else:
if not os.path.isdir(DEFAULT_OUTPUT_DIR):
os.mkdir(DEFAULT_OUTPUT_DIR)
output_file = os.path.join(DEFAULT_OUTPUT_DIR, filename)
arg_parser.add_argument('-f', '--filename', help="Used specified name for JSON file")
arg_parser.add_argument('-u', '--urls', help='Comma separated URLs to profile')
arg_parser.add_argument('-t', '--testfile', required=True, help='Use specified JSON test file to determine test actions')
arg_parser.add_argument('-i', '--iterations', help='Do profiling task the specified number of times')
arg_parser.add_argument('-a', '--average', action='store_true', help='Output the average results of the iterations')
arg_parser.add_argument('-p', '--report', action='store_true', help='Call make_report.py to make a report and open it')
args = arg_parser.parse_args()
har_gen = FlowProfiler(args.testfile, int(args.iterations)) if args.iterations else FlowProfiler(args.testfile)
# profiling_results is a list of lists containing HARs for each page in a run
profiling_results = har_gen.profile()
if args.average:
chosen_result = [merge_by_average(page_results) for page_results in zip(*profiling_results)]
else:
chosen_result = profiling_results[-1]
result_text = json.dumps(chosen_result)
filename = args.filename or 'data_{0}.json'.format(int(time.time()))
if args.outputdir:
output_file = os.path.join(args.outputdir, filename)
else:
if not os.path.isdir(DEFAULT_OUTPUT_DIR):
os.mkdir(DEFAULT_OUTPUT_DIR)
output_file = os.path.join(DEFAULT_OUTPUT_DIR, filename)
with open(output_file, 'w') as f: