danielbeach / asynchuck Goto Github PK
View Code? Open in Web Editor NEWUsing Chuck Norris to show how slow Async Python is.
Using Chuck Norris to show how slow Async Python is.
Async can be a bit tricky, for sure, but your conclusion is incorrect. Here's a version that is 4x faster than your pool version:
import asyncio
import aiohttp
from datetime import datetime
import json
class AsynChuck:
def __init__(self, number_of_jokes: int):
self.base_api_url = "http://api.icndb.com/jokes/random"
self.number_of_jokes = number_of_jokes
@staticmethod
def convert_to_json(response):
jsonified = json.loads(response)
return jsonified
async def fetch(self, session:object):
async with session.get(self.base_api_url) as response:
return await response.json()
async def get_em(self):
async with aiohttp.ClientSession() as session:
return await asyncio.gather(*[
self.fetch(session)
for _ in range(0, self.number_of_jokes)
])
def main():
t1 = datetime.now()
MrNorris = AsynChuck(number_of_jokes=200)
loop = asyncio.get_event_loop()
future = asyncio.ensure_future(MrNorris.get_em())
responses = loop.run_until_complete(future)
for joke in responses:
if joke["type"] == "success":
print(joke)
t2 = datetime.now()
timer = t2 - t1
print(f'Process took {timer} seconds')
if __name__ == '__main__':
main()
It does 10,000 jokes in 22s, while poolChuck takes 0:07:03.188157.
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