Zero-dependency Python package for easy throttling with asyncio support.
- ๐ Install
- ๐ Usage Examples
- ๐จ๐ปโ๐ป Author
- ๐ฌ Contributing
- ๐ License
Just
pip install throttler
All run-ready examples are here.
Throttler:
Context manager for limiting rate of accessing to context block.
from throttler import Throttler
# Limit to three calls per second
t = Throttler(rate_limit=3, period=1.0)
async with t:
pass
Or
import asyncio
from throttler import throttle
# Limit to three calls per second
@throttle(rate_limit=3, period=1.0)
async def task():
return await asyncio.sleep(0.1)
ThrottlerSimultaneous:
Context manager for limiting simultaneous count of accessing to context block.
from throttler import ThrottlerSimultaneous
# Limit to five simultaneous calls
t = ThrottlerSimultaneous(count=5)
async with t:
pass
Or
import asyncio
from throttler import throttle_simultaneous
# Limit to five simultaneous calls
@throttle_simultaneous(count=5)
async def task():
return await asyncio.sleep(0.1)
import asyncio
import time
from throttler import throttle
# Limit to two calls per second
@throttle(rate_limit=2, period=1.0)
async def task():
return await asyncio.sleep(0.1)
async def many_tasks(count: int):
coros = [task() for _ in range(count)]
for coro in asyncio.as_completed(coros):
_ = await coro
print(f'Timestamp: {time.time()}')
asyncio.run(many_tasks(10))
Result output:
Timestamp: 1585183394.8141203
Timestamp: 1585183394.8141203
Timestamp: 1585183395.830335
Timestamp: 1585183395.830335
Timestamp: 1585183396.8460555
Timestamp: 1585183396.8460555
...
import asyncio
import time
import aiohttp
from throttler import Throttler, ThrottlerSimultaneous
class SomeAPI:
api_url = 'https://example.com'
def __init__(self, throttler):
self.throttler = throttler
async def request(self, session: aiohttp.ClientSession):
async with self.throttler:
async with session.get(self.api_url) as resp:
return resp
async def many_requests(self, count: int):
async with aiohttp.ClientSession() as session:
coros = [self.request(session) for _ in range(count)]
for coro in asyncio.as_completed(coros):
response = await coro
print(f'{int(time.time())} | Result: {response.status}')
async def run():
# Throttler can be of any type
t = ThrottlerSimultaneous(count=5) # Five simultaneous requests
t = Throttler(rate_limit=10, period=3.0) # Ten requests in three seconds
api = SomeAPI(t)
await api.many_requests(100)
asyncio.run(run())
Result output:
1585182908 | Result: 200
1585182908 | Result: 200
1585182908 | Result: 200
1585182909 | Result: 200
1585182909 | Result: 200
1585182909 | Result: 200
1585182910 | Result: 200
1585182910 | Result: 200
1585182910 | Result: 200
...
Context manager for time limiting of accessing to context block. Simply sleep
period
secs before next accessing, not analog ofThrottler
. Also it can align to start of minutes.
import time
from throttler import ExecutionTimer
et = ExecutionTimer(60, align_sleep=True)
while True:
with et:
print(time.asctime(), '|', time.time())
Or
import time
from throttler import execution_timer
@execution_timer(60, align_sleep=True)
def f():
print(time.asctime(), '|', time.time())
while True:
f()
Result output:
Thu Mar 26 00:56:17 2020 | 1585173377.1203406
Thu Mar 26 00:57:00 2020 | 1585173420.0006166
Thu Mar 26 00:58:00 2020 | 1585173480.002517
Thu Mar 26 00:59:00 2020 | 1585173540.001494
Context manager for pretty printing start, end, elapsed and average times.
import random
import time
from throttler import Timer
timer = Timer('My Timer', verbose=True)
for _ in range(3):
with timer:
time.sleep(random.random())
Or
import random
import time
from throttler import timer
@timer('My Timer', verbose=True)
def f():
time.sleep(random.random())
for _ in range(3):
f()
Result output:
#1 | My Timer | begin: 2020-03-26 01:46:07.648661
#1 | My Timer | end: 2020-03-26 01:46:08.382135, elapsed: 0.73 sec, average: 0.73 sec
#2 | My Timer | begin: 2020-03-26 01:46:08.382135
#2 | My Timer | end: 2020-03-26 01:46:08.599919, elapsed: 0.22 sec, average: 0.48 sec
#3 | My Timer | begin: 2020-03-26 01:46:08.599919
#3 | My Timer | end: 2020-03-26 01:46:09.083370, elapsed: 0.48 sec, average: 0.48 sec
Ramzan Bekbulatov:
Contributions, issues and feature requests are welcome!
This project is MIT licensed.