A Redis-backed rate limiting based on GCRA implementation in Python
Project description
This is an implementation of GCRA for rate limiting based on Redis.
The code requires Redis version 3.2 or newer since it relies on replicate_commands feature.
How to Install?
pip install pyredis-rate-limiter
How to Use?
Here is a short example.
# -*- coding: utf-8 -*-
import asyncio
from typing import Optional
import redis as aio_redis
from loguru import logger as loguru_logger
from pyredis_rate_limiter import (
Limit,
Limiter,
per_second
)
_rl_instance: Optional[Limiter] = None
def init_rl_instance(redis_conn: aio_redis.Redis):
global _rl_instance
_rl_instance = Limiter(redis_conn)
def rl_instance() -> Limiter:
return _rl_instance
async def take_token(key: str, limit: Limit, block_wait: bool = False) -> Optional[int]:
token: Optional[int] = None
ret, _ = await rl_instance().aio_allow(key, limit)
if ret is None:
return token
if ret.allowed == 0:
if block_wait:
wait_until_available = ret.retry_after_in_sec
loguru_logger.warning(f"Token for key:{key} exceeds, wait {wait_until_available} secs until resource turns to be available")
await asyncio.sleep(ret.retry_after_in_sec)
else:
loguru_logger.error(f"no token available for key:{key}")
else:
token = 1
return token
async def send_sm():
token = await take_token(key="send_sm_handler", limit=per_second(5))
if token is None:
# do sth
else:
# do sth
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