from __future__ import absolute_import import logging import time from tornado import ioloop from django.conf import settings orig_poll_impl = ioloop._poll # A hack to keep track of how much time we spend working, versus sleeping in # the event loop. # # Creating a new event loop instance with a custom impl object fails (events # don't get processed), so instead we modify the ioloop module variable holding # the default poll implementation. We need to do this before any Tornado code # runs that might instantiate the default event loop. class InstrumentedPoll(object): def __init__(self): self._underlying = orig_poll_impl() self._times = [] self._last_print = 0 # Python won't let us subclass e.g. select.epoll, so instead # we proxy every method. __getattr__ handles anything we # don't define elsewhere. def __getattr__(self, name): return getattr(self._underlying, name) # Call the underlying poll method, and report timing data. def poll(self, timeout): # Avoid accumulating a bunch of insignificant data points # from short timeouts. if timeout < 1e-3: return self._underlying.poll(timeout) # Record start and end times for the underlying poll t0 = time.time() result = self._underlying.poll(timeout) t1 = time.time() # Log this datapoint and restrict our log to the past minute self._times.append((t0, t1)) while self._times and self._times[0][0] < t1 - 60: self._times.pop(0) # Report (at most once every 5s) the percentage of time spent # outside poll if self._times and t1 - self._last_print >= 5: total = t1 - self._times[0][0] in_poll = sum(b-a for a,b in self._times) if total > 0: percent_busy = 100 * (1 - in_poll/total) if settings.DEPLOYED or percent_busy > 20: logging.info('Tornado %5.1f%% busy over the past %4.1f seconds' % (percent_busy, total)) self._last_print = t1 return result def instrument_tornado_ioloop(): ioloop._poll = InstrumentedPoll