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import sys
import os
import timeit
import math
import argparse
import fnmatch
import json
parser = argparse.ArgumentParser(description="Python protobuf benchmark")
parser.add_argument("data_files", metavar="dataFile", nargs="+",
help="testing data files.")
parser.add_argument("--json", action="store_const", dest="json",
const="yes", default="no",
help="Whether to output json results")
parser.add_argument("--behavior_prefix", dest="behavior_prefix",
help="The output json format's behavior's name's prefix",
default="")
# BEGIN CPP GENERATED MESSAGE
parser.add_argument("--cpp_generated", action="store_const",
dest="cpp_generated", const="yes", default="no",
help="Whether to link generated code library")
# END CPP GENERATED MESSAGE
args = parser.parse_args()
# BEGIN CPP GENERATED MESSAGE
# CPP generated code must be linked before importing the generated Python code
# for the descriptor can be found in the pool
if args.cpp_generated != "no":
sys.path.append( os.path.dirname( os.path.dirname( os.path.abspath(__file__) ) ) + "/.libs" )
import libbenchmark_messages
sys.path.append( os.path.dirname( os.path.dirname( os.path.abspath(__file__) ) ) + "/tmp" )
# END CPP GENERATED MESSAGE
import datasets.google_message1.proto2.benchmark_message1_proto2_pb2 as benchmark_message1_proto2_pb2
import datasets.google_message1.proto3.benchmark_message1_proto3_pb2 as benchmark_message1_proto3_pb2
import datasets.google_message2.benchmark_message2_pb2 as benchmark_message2_pb2
import datasets.google_message3.benchmark_message3_pb2 as benchmark_message3_pb2
import datasets.google_message4.benchmark_message4_pb2 as benchmark_message4_pb2
import benchmarks_pb2 as benchmarks_pb2
def run_one_test(filename):
data = open(filename).read()
benchmark_dataset = benchmarks_pb2.BenchmarkDataset()
benchmark_dataset.ParseFromString(data)
benchmark_util = Benchmark(full_iteration=len(benchmark_dataset.payload),
module="py_benchmark",
setup_method="init")
result={}
result["filename"] = filename
result["message_name"] = benchmark_dataset.message_name
result["benchmarks"] = {}
benchmark_util.set_test_method("parse_from_benchmark")
result["benchmarks"][args.behavior_prefix + "_parse_from_benchmark"] = \
benchmark_util.run_benchmark(setup_method_args='"%s"' % (filename))
benchmark_util.set_test_method("serialize_to_benchmark")
result["benchmarks"][args.behavior_prefix + "_serialize_to_benchmark"] = \
benchmark_util.run_benchmark(setup_method_args='"%s"' % (filename))
return result
def init(filename):
global benchmark_dataset, message_class, message_list, counter
message_list=[]
counter = 0
data = open(os.path.dirname(sys.argv[0]) + "/../" + filename).read()
benchmark_dataset = benchmarks_pb2.BenchmarkDataset()
benchmark_dataset.ParseFromString(data)
if benchmark_dataset.message_name == "benchmarks.proto3.GoogleMessage1":
message_class = benchmark_message1_proto3_pb2.GoogleMessage1
elif benchmark_dataset.message_name == "benchmarks.proto2.GoogleMessage1":
message_class = benchmark_message1_proto2_pb2.GoogleMessage1
elif benchmark_dataset.message_name == "benchmarks.proto2.GoogleMessage2":
message_class = benchmark_message2_pb2.GoogleMessage2
elif benchmark_dataset.message_name == "benchmarks.google_message3.GoogleMessage3":
message_class = benchmark_message3_pb2.GoogleMessage3
elif benchmark_dataset.message_name == "benchmarks.google_message4.GoogleMessage4":
message_class = benchmark_message4_pb2.GoogleMessage4
else:
raise IOError("Message %s not found!" % (benchmark_dataset.message_name))
for one_payload in benchmark_dataset.payload:
temp = message_class()
temp.ParseFromString(one_payload)
message_list.append(temp)
def parse_from_benchmark():
global counter, message_class, benchmark_dataset
m = message_class().ParseFromString(benchmark_dataset.payload[counter % len(benchmark_dataset.payload)])
counter = counter + 1
def serialize_to_benchmark():
global counter, message_list, message_class
s = message_list[counter % len(benchmark_dataset.payload)].SerializeToString()
counter = counter + 1
class Benchmark:
def __init__(self, module=None, test_method=None,
setup_method=None, full_iteration = 1):
self.full_iteration = full_iteration
self.module = module
self.test_method = test_method
self.setup_method = setup_method
def set_test_method(self, test_method):
self.test_method = test_method
def full_setup_code(self, setup_method_args=''):
setup_code = ""
setup_code += "from %s import %s\n" % (self.module, self.test_method)
setup_code += "from %s import %s\n" % (self.module, self.setup_method)
setup_code += "%s(%s)\n" % (self.setup_method, setup_method_args)
return setup_code
def dry_run(self, test_method_args='', setup_method_args=''):
return timeit.timeit(stmt="%s(%s)" % (self.test_method, test_method_args),
setup=self.full_setup_code(setup_method_args),
number=self.full_iteration);
def run_benchmark(self, test_method_args='', setup_method_args=''):
reps = self.full_iteration;
t = self.dry_run(test_method_args, setup_method_args);
if t < 3 :
reps = int(math.ceil(3 / t)) * self.full_iteration
t = timeit.timeit(stmt="%s(%s)" % (self.test_method, test_method_args),
setup=self.full_setup_code(setup_method_args),
number=reps);
return 1.0 * t / reps * (10 ** 9)
if __name__ == "__main__":
results = []
for file in args.data_files:
results.append(run_one_test(file))
if args.json != "no":
print json.dumps(results)
else:
for result in results:
print "Message %s of dataset file %s" % \
(result["message_name"], result["filename"])
print "Average time for parse_from_benchmark: %.2f ns" % \
(result["benchmarks"][ \
args.behavior_prefix + "_parse_from_benchmark"])
print "Average time for serialize_to_benchmark: %.2f ns" % \
(result["benchmarks"][ \
args.behavior_prefix + "_serialize_to_benchmark"])
print ""
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