Created
December 7, 2011 01:51
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Rate limiting function calls with Python Decorators
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import time | |
def RateLimited(maxPerSecond): | |
minInterval = 1.0 / float(maxPerSecond) | |
def decorate(func): | |
lastTimeCalled = [0.0] | |
def rateLimitedFunction(*args,**kargs): | |
elapsed = time.clock() - lastTimeCalled[0] | |
leftToWait = minInterval - elapsed | |
if leftToWait>0: | |
time.sleep(leftToWait) | |
ret = func(*args,**kargs) | |
lastTimeCalled[0] = time.clock() | |
return ret | |
return rateLimitedFunction | |
return decorate | |
@RateLimited(2) # 2 per second at most | |
def PrintNumber(num): | |
print num | |
if __name__ == "__main__": | |
print "This should print 1,2,3... at about 2 per second." | |
for i in range(1,100): | |
PrintNumber(i) |
Note, there are other libraries on PyPI that do this, such as ratelimit
A more simple version but with async compatibility https://gist.github.com/hugokernel/c478d639849e1e772b1395a546100031
I created a similar asyncio version but using the token bucket algorithm for
max number of calls during/time interval which results in a maximum burst rate. it can be combined with the above rate limiter without burst rate..
https://gist.github.com/yeus/dff02dce88c6da9073425b5309f524dd
An extended version of @oPromessa 's utility. Thank you for sharing @oPromessa !
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Any updates regarding licensing of these pieces of code?