⏲️ Rate-limiting, thread-safe and asynchronous decorators + context managers that implement the token-bucket algorithm.
Project description
limiter
Rate-limiting thread-safe and asynchronous decorators and context managers that implement the token-bucket algorithm.
- Thread-safe, with no need for a timer thread
- Control burst requests
- Control average request rate
- Easy to use
Installation
Requirements
- Python 3.7+
Installing from PyPI
pip3 install limiter
Usage
from asyncio import sleep as aiosleep from time import sleep as tsleep from limiter import get_limiter, limit REFRESH_RATE = 2 BURST_RATE = 3 limiter = get_limiter(rate=REFRESH_RATE, capacity=BURST_RATE) @limit(limiter) def get_page(url: str) -> Response: tsleep(1) @limit(limiter, consume=2) async def do_stuff(): await aiosleep(1) def do_stuff(): # do stuff with limit(limiter, consume=1.5): # do expensive stuff pass async def do_stuff(): # do stuff async with limit(limiter): # do expensive stuff pass @limit(limiter, bucket=b'other stuff') def do_other_stuff(): pass
License
See LICENSE
. If you'd like to use this project with a different license, please get in touch.
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