Create workers, wait for them to be ready, then run them all at once
This python module is for making simple tools that rush a resource, such as an API endpoint or web UI. This runs with both Python 2.6+ or 3.0+.
This was originally created to test the throttling of authentication attempts. It is quite basic, but was enough to get good results from a Django based web app. I imagine that this is good enough to indicate if rate limiting is reasonably implemented on faster systems (more likely to come down to network?).
This example attempts to connect to an API endpoint which will throttle after 10 requests:
try: # Python 2 from xmlrpclib import ServerProxy, Fault except ImportError: # Python 3 from xmlrpc.client import ServerProxy, Fault from rush import Rusher def api_auth_tester(index, thread_count): """ Rush the API with invalid authentication attempts. """ # prepare the worker proxy = ServerProxy('https://badname:email@example.com/v1/xmlrpc/') yield # yield to indicate that the worker is ready to rush # rush try: proxy.server.list() except Fault as error: # yield a string indicating the result if error.faultCode == 4: # bad username/pass yield 'attempted' elif error.faultCode == 12: # throttled yield 'throttled' print("API rate limiting test:") # the API will throttle after 10 requests, so make 9 requests first, then rush two calls rusher = Rusher(api_auth_tester, 9) # preform the first 9 requests so the next request should set a throttling indicator duration, results = rusher.rush_and_report() # change the number of threads we want to make rusher.thread_count = 2 # only one call should not be throttled rusher.rush_and_report()
This will produce output like the following:
API rate limiting test: 9 threads completed in .747115, results: attempted: 9 2 threads completed in .127208, results: attempted: 1 throttled: 1
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