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#!/usr/bin/env python3
"""A manual test to compare performance of different serializers
Latest results:
---------------
CPU Results (x10000 iterations):
jsonpickle.encode: 8.846
jsonpickle.decode: 9.166
pickle.dumps: 0.433
pickle.loads: 0.734
cattrs.unstructure: 1.124
cattrs.structure: 1.048
cattrs+pickle.dumps: 1.219
cattrs+pickle.loads: 1.189
cattrs+json.dumps: 2.005
cattrs+json.loads: 2.312
cattrs+ujson.dumps: 1.803
cattrs+ujson.loads: 2.128
cattrs+bson.dumps: 1.550
cattrs+bson.loads: 1.322
"""
# flake8: noqa: F401
import json
import os
import pickle
import sys
from os.path import abspath, dirname, join
from time import perf_counter as time
import ujson
from cattr.preconf.json import make_converter
from requests_cache.backends.sqlite import SQLiteCache
try:
from rich import print
except ImportError:
pass
# import jsonpickle
# from memory_profiler import profile
# Add project path
sys.path.insert(0, os.path.abspath('..'))
from requests_cache import CachedSession
from requests_cache.serializers import CattrStage, bson_serializer, pickle_serializer
ITERATIONS = 10000
# Get an initial cached response
session = CachedSession(SQLiteCache(use_temp=True))
r = session.get('https://httpbin.org/json')
r = session.get('https://httpbin.org/json')
# def run_jsonpickle():
# run_serialize_deserialize('jsonpickle', jsonpickle.encode, jsonpickle.decode)
def run_pickle():
run_serialize_deserialize('pickle', pickle)
def run_cattrs():
run_serialize_deserialize('cattrs', CattrStage())
def run_cattrs_pickle():
run_serialize_deserialize('cattrs+pickle', pickle_serializer)
# def run_cattrs_json():
# s = CattrStage(converter_factory=make_converter)
# run_serialize_deserialize(
# 'cattrs+json',
# lambda obj: json.dumps(s.unstructure(obj)),
# lambda obj: s.structure(json.loads(obj)),
# )
def run_cattrs_ujson():
s = CattrStage(factory=make_converter)
run_serialize_deserialize('cattrs+ujson', s)
def run_cattrs_bson():
run_serialize_deserialize('cattrs+bson', bson_serializer)
def run_serialize_deserialize(module, serializer):
start = time()
serialized = [serializer.dumps(r) for i in range(ITERATIONS)]
print(f'{module}.{serializer.__name__}.loads() x{ITERATIONS}: {time() - start:.3f}')
start = time()
deserialized = [serializer.loads(obj) for obj in serialized]
print(f'{module}.{serializer.__name__}.dumps() x{ITERATIONS}: {time() - start:.3f}')
if __name__ == '__main__':
print('CPU:')
# run_jsonpickle()
run_pickle()
run_cattrs()
run_cattrs_pickle()
# run_cattrs_json()
run_cattrs_ujson()
run_cattrs_bson()
# Memory
# print('\nMemory:')
# profile(run_jsonpickle)()
# profile(run_pickle)()
# profile(run_cattrs)()
# profile(run_cattrs_pickle)()
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