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]
'--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()))
('startedDateTime', ['str', 'unicode']),
('time', ['int']),
('request', ['dict'], lambda x: validate_request(x,i)),
('response', ['dict'], lambda x: validate_response(x, i)),
('cache', ['dict'], lambda x: validate_cache(x,i)),
('timings', ['dict'], lambda x: validate_resource_timings(x,i))])
assert 'log' in har, 'HAR file must contain a "log" field'
validation_funcs = {'version': (['str', 'unicode'], lambda x: validate_str_is_number(x)),
'creator': ('dict', validate_har_creator),
'browser': ('dict', validate_browser),
'pages': ('list', validate_pages),
'entries': ('list', validate_entries)}
for field, (type, func) in validation_funcs.iteritems():
validate_field((har['log'], 'log'), field, type, func)
gen = FlowProfiler('../bin/sampleinput/limobilelogin.json')
hars = gen.make()
for har in hars:
# remove unicode strings from dictionary to make type verification easier
har = json.loads(json.dumps(har))
print json.dumps(har)
print '\n'
validate_har_structure(har)
DEFAULT_OUTPUT_DIR = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), 'report')
if __name__ == '__main__':
arg_parser = argparse.ArgumentParser()
arg_parser.add_argument('-d', '--outputdir', help='Write JSON file to specified directory')
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:
('startedDateTime', ['str', 'unicode']),
('time', ['int']),
('request', ['dict'], lambda x: validate_request(x,i)),
('response', ['dict'], lambda x: validate_response(x, i)),
('cache', ['dict'], lambda x: validate_cache(x,i)),
('timings', ['dict'], lambda x: validate_resource_timings(x,i))])
assert 'log' in har, 'HAR file must contain a "log" field'
validation_funcs = {'version': (['str', 'unicode'], lambda x: validate_str_is_number(x)),
'creator': ('dict', validate_har_creator),
'browser': ('dict', validate_browser),
'pages': ('list', validate_pages),
'entries': ('list', validate_entries)}
for field, (type, func) in validation_funcs.iteritems():
validate_field((har['log'], 'log'), field, type, func)
gen = FlowProfiler('../bin/sampleinput/sample.json')
hars = gen.profile()
for har in hars:
# remove unicode strings from dictionary to make type verification easier
har = json.loads(json.dumps(har))
print json.dumps(har)
print '\n'
validate_har_structure(har)
