from __future__ import absolute_import
from __future__ import division
from typing import Tuple

import logging
import time
import select
from tornado import ioloop
from django.conf import settings

try:
    # Tornado 2.4
    orig_poll_impl = ioloop._poll # type: ignore # cross-version type variation is hard for mypy
    def instrument_tornado_ioloop():
        ioloop._poll = InstrumentedPoll # type: ignore # cross-version type variation is hard for mypy
except:
    # Tornado 3
    from tornado.ioloop import IOLoop, PollIOLoop
    # There isn't a good way to get at what the underlying poll implementation
    # will be without actually constructing an IOLoop, so we just assume it will
    # be epoll.
    orig_poll_impl = select.epoll
    class InstrumentedPollIOLoop(PollIOLoop):
        def initialize(self, **kwargs): # type: ignore # TODO investigate likely buggy monkey patching here
            super(InstrumentedPollIOLoop, self).initialize(impl=InstrumentedPoll(), **kwargs)

    def instrument_tornado_ioloop():
        IOLoop.configure(InstrumentedPollIOLoop)

# 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 = [] # type: List[Tuple[float, float]]
        self._last_print = 0.0

    # 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.PRODUCTION 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