Files
deb-python-falcon/bench/bench.py
2013-02-20 12:00:04 -05:00

120 lines
3.2 KiB
Python
Executable File

#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import gc
import random
import argparse
import timeit
from decimal import Decimal
from collections import defaultdict
from create import *
sys.path.append('..')
import falcon.testing as helpers
del sys.path[-1]
def avg(array):
return sum(array) / len(array)
def bench(name, iterations):
func = create_bench(name)
gc.collect()
total_sec = timeit.timeit(func, setup=gc.enable, number=iterations)
sec_per_req = Decimal(total_sec) / Decimal(iterations)
sys.stdout.write('.')
sys.stdout.flush()
return (name, sec_per_req)
def create_bench(name):
srmock = helpers.StartResponseMock()
request_headers = {'Content-Type': 'application/json'}
# env = helpers.create_environ('/hello/584/test', query_string='limit=10',
# headers=request_headers)
env = helpers.create_environ('/hello', query_string='limit=10',
headers=request_headers)
body = helpers.rand_string(0, 10240) # NOQA
headers = {'X-Test': 'Funky Chicken'} # NOQA
app = eval('create_{0}(body, headers)'.format(name.lower()))
def bench():
app(env, srmock)
return bench
def consolidate_datasets(datasets):
results = defaultdict(list)
for dataset in datasets:
for name, sec_per_req in dataset:
results[name].append(sec_per_req)
return [(name, min(vector)) for name, vector in results.items()]
def round_to_int(dec):
return int(dec.to_integral_value())
if __name__ == '__main__':
frameworks = [
'Wheezy', 'Flask', 'Werkzeug', 'Falcon',
'Pecan', 'Bottle', 'CherryPy' # , 'WSME'
]
parser = argparse.ArgumentParser(description="Falcon benchmark runner")
parser.add_argument('-b', '--benchmark', type=str, action='append',
choices=frameworks, dest='frameworks')
parser.add_argument('-i', '--iterations', type=int, default=50000)
parser.add_argument('-r', '--repetitions', type=int, default=3)
args = parser.parse_args()
if args.frameworks:
frameworks = args.frameworks
else:
# wheezy.http isn't really a framework - doesn't even have a router
del frameworks[frameworks.index('Wheezy')]
print('')
datasets = []
for r in range(args.repetitions):
random.shuffle(frameworks)
sys.stdout.write('Benchmarking, Round %d of %d' %
(r + 1, args.repetitions))
sys.stdout.flush()
dataset = [bench(framework, args.iterations)
for framework in frameworks]
datasets.append(dataset)
print('done.')
dataset = consolidate_datasets(datasets)
dataset = sorted(dataset, key=lambda r: r[1])
baseline = dataset[-1][1]
print('\nResults:\n')
for i, (name, sec_per_req) in enumerate(dataset):
req_per_sec = round_to_int(Decimal(1) / sec_per_req)
us_per_req = round_to_int(sec_per_req * Decimal(10 ** 6))
factor = round_to_int(baseline / sec_per_req)
print('{3}. {0:.<15s}{1:.>06,d} req/sec or {2: >03d} μs/req ({4}x)'.
format(name, req_per_sec, us_per_req, i + 1, factor))
print('')