That which is slow acts or moves without haste or rapidity: a slow procession of cars. slow, deliberate, gradual, leisurely mean unhurried and not happening rapidly. (''.To become slow or slower slacken in speed # if cache exists, no need to make api call Self.next_reset_at = now + datetime.timedelta(seconds=(source))ĭef request(self, source, method, do_cache=False): # The time, in seconds, for which to cache a response # Whether to throw an error (when True) if the limit is reached, or wait until another request # Dict of duration of the API rate limit for each source # Dict of max number of requests of the API rate limit for each source Return "More than 30 requests have been made in the last five seconds."ĭef _init_(self, max_rate, window, throttle_stop=False, cache_age=1800): Taking advantage of passing function as the request method parameter, it also caches the result in order to reduce API calls. By proxying every API request to the request method, we can keep track of all API requests. Is there any way or library that I can use to limit the rate globally in python?Īfter all, I implemented my own Throttler class. And, this will violate the one time per second restriction. So, y will be called right after the execution of x without waiting another second. However, if I execute the above two functions sequentially, it looses track of the number of API calls in global scope because they are unaware of each other. y():īy decorating the functions with the limiter, I'm able to limit the rate against the two functions. And, suppose I have functions x and y in which two API calls are made. Rate_limiter = RateLimiter(max_calls=10, period=1)īecause I have several functions, which make API calls, in different places, I want to limit the API calls in global scope.įor example, suppose I want to limit the APIs call to one time per second. However, this library can only limit the rate in local scope. I already found a nice python library ratelimiter=1.0.2.post0 I'm trying to restrict the API calls in my code.
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