def on_quitting():
total = global_stats.aggregated_stats(full_request_history=True)
for k, v in total.__dict__.iteritems():
if k.startswith("_"):
break
else:
print "{}: {}".format(k, total.__dict__[k])
def print_percentile_stats_extra(stats):
print("Percentage of the requests completed within given times")
print((" %-" + str(STATS_NAME_WIDTH) + "s %8s %6s %6s %6s %6s %6s %6s %6s %6s %6s") % (
'Name', '# reqs', '50%', '66%', '75%', '80%', '90%', '95%', '98%', '99%', '100%'))
print("-" * (80 + STATS_NAME_WIDTH))
for key in sorted(six.iterkeys(stats)):
r = stats[key]
if r.response_times:
print(r.percentile())
print("-" * (80 + STATS_NAME_WIDTH))
total_stats = global_stats.aggregated_stats()
if total_stats.response_times:
print(total_stats.percentile())
print("")
def on_quitting():
requests_csv = global_stats.aggregated_stats()
if not os.path.exists('results'):
os.makedirs('results')
timestamp = time.strftime("%Y%m%d-%H%M%S")
with open('results/%s.csv' % (timestamp), 'w') as csvfile:
fieldnames = ['enpoint', 'median_response_time', 'num_requests']
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader()
for key, value in requests_csv.stats.entries.items():
writer.writerow({
'enpoint': ' '.join(key),
'median_response_time': value.median_response_time,
'num_requests': value.num_requests
})
def on_quitting():
aggregated_stats = global_stats.aggregated_stats("Total").get_stripped_report()
f = open('stats.json','w')
f.write(str(aggregated_stats))
f.close()
