#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""
Created on Tue Apr 23 11:28:32 2013

Provides the high resolution timebase used by psychopy, and defines some time
related utility Classes.

Moved functionality from core.py so a common code
base could be used in core.py and logging.py; vs. duplicating the getTime and
Clock logic.

@author: Sol
@author: Jon
"""

# Part of the PsychoPy library
# Copyright (C) 2002-2018 Jonathan Peirce (C) 2019-2022 Open Science Tools Ltd.
# Distributed under the terms of the GNU General Public License (GPL).

import time
import sys
from pkg_resources import parse_version

try:
    import pyglet
except ImportError:
    pass  # pyglet is not installed

from psychopy.constants import STARTED, NOT_STARTED, FINISHED
import psychopy.logging  # Absolute import to work around circularity

# set the default timing mechanism
getTime = None

# Select the timer to use as the psychopy high resolution time base. Selection
# is based on OS and Python version.
#
# Three requirements exist for the psychopy time base implementation:
#     A) The Python interpreter does not apply an offset to the times returned
#        based on when the timer module being used was loaded or when the
#        timer function first called was first called.
#     B) The timer implementation used must be monotonic and report elapsed
#        time between calls, 'not' system or CPU usage time.
#     C) The timer implementation must provide a resolution of 50 usec or
#        better.
#
# Given the above requirements, psychopy selects a timer implementation as
# follows:
#     1) On Windows, the Windows Query Performance Counter API is used using
#        ctypes access.
#     2) On other OS's, if the Python version being used is 2.6 or lower,
#        time.time is used. For Python 2.7 and above, the timeit.default_timer
#        function is used.
try:
    import psychtoolbox
    havePTB = True
except ImportError:
    havePTB = False

if havePTB:
    # def getTime():
    #     secs, wallTime, error = psychtoolbox.GetSecs('allclocks')
    #     return wallTime
    getTime = psychtoolbox.GetSecs
elif sys.platform == 'win32':
    from ctypes import byref, c_int64, windll
    _fcounter = c_int64()
    _qpfreq = c_int64()
    windll.Kernel32.QueryPerformanceFrequency(byref(_qpfreq))
    _qpfreq = float(_qpfreq.value)
    _winQPC = windll.Kernel32.QueryPerformanceCounter

    def getTime():
        _winQPC(byref(_fcounter))
        return _fcounter.value / _qpfreq

elif sys.platform == "darwin":
    # Monotonic getTime with absolute origin. Suggested by @aforren1, and
    # copied from github.com/aforren1/toon/blob/master/toon/input/mac_clock.py 
    import ctypes
    _libc = ctypes.CDLL('/usr/lib/libc.dylib', use_errno=True)

    # create helper class to store data
    class mach_timebase_info_data_t(ctypes.Structure):
        _fields_ = (('numer', ctypes.c_uint32),
                    ('denom', ctypes.c_uint32))

    # get function and set response type
    _mach_absolute_time = _libc.mach_absolute_time
    _mach_absolute_time.restype = ctypes.c_uint64

    # calculate timebase
    _timebase = mach_timebase_info_data_t()
    _libc.mach_timebase_info(ctypes.byref(_timebase))
    _ticks_per_second = _timebase.numer / _timebase.denom * 1.0e9

    # then define getTime func
    def getTime():
        return _mach_absolute_time() / _ticks_per_second

else:
    import timeit
    getTime = timeit.default_timer


class MonotonicClock:
    """A convenient class to keep track of time in your experiments using a
    sub-millisecond timer.

    Unlike the :class:`~psychopy.core.Clock` this cannot be reset to
    arbitrary times. For this clock t=0 always represents the time that
    the clock was created.

    Don't confuse this `class` with `core.monotonicClock` which is an
    `instance` of it that got created when PsychoPy.core was imported.
    That clock instance is deliberately designed always to return the
    time since the start of the study.

    Version Notes: This class was added in PsychoPy 1.77.00

    """
    def __init__(self, start_time=None):
        super(MonotonicClock, self).__init__()
        if start_time is None:
            # this is sub-millisecond timer in python
            self._timeAtLastReset = getTime()
        else:
            self._timeAtLastReset = start_time

    def getTime(self, applyZero=True):
        """Returns the current time on this clock in secs (sub-ms precision).

        If applying zero then this will be the time since the clock was created
        (typically the beginning of the script).

        If not applying zero then it is whatever the underlying clock uses as
        its base time but that is system dependent. e.g. can be time since
        reboot, time since Unix Epoch etc
        """
        if applyZero:
            return getTime() - self._timeAtLastReset
        else:
            return getTime()

    def getLastResetTime(self):
        """
        Returns the current offset being applied to the high resolution
        timebase used by Clock.
        """
        return self._timeAtLastReset


monotonicClock = MonotonicClock()


class Clock(MonotonicClock):
    """A convenient class to keep track of time in your experiments.
    You can have as many independent clocks as you like (e.g. one
    to time responses, one to keep track of stimuli ...)

    This clock is identical to the :class:`~psychopy.core.MonotonicClock`
    except that it can also be reset to 0 or another value at any point.

    """
    def __init__(self):
        super(Clock, self).__init__()

    def reset(self, newT=0.0):
        """Reset the time on the clock. With no args time will be
        set to zero. If a float is received this will be the new
        time on the clock
        """
        self._timeAtLastReset = getTime() + newT

    def add(self, t):
        """Add more time to the clock's 'start' time (t0).

        Note that, by adding time to t0, you make the current time
        appear less. Can have the effect that getTime() returns a negative
        number that will gradually count back up to zero.

        e.g.::

            timer = core.Clock()
            timer.add(5)
            while timer.getTime()<0:
                # do something
        """
        self._timeAtLastReset += t


class CountdownTimer(Clock):
    """Similar to a :class:`~psychopy.core.Clock` except that time counts down
    from the time of last reset.

    Parameters
    ----------
    start : float or int
        Starting time in seconds to countdown on.

    Examples
    --------
    Create a countdown clock with a 5 second duration::

        timer = core.CountdownTimer(5)
        while timer.getTime() > 0:  # after 5s will become negative
            # do stuff

    """
    def __init__(self, start=0):
        super(CountdownTimer, self).__init__()
        self._countdown_duration = start
        if start:
            self.add(start)

    def getTime(self):
        """Returns the current time left on this timer in seconds with sub-ms
        precision (`float`).
        """
        return self._timeAtLastReset - getTime()

    def reset(self, t=None):
        """Reset the time on the clock.

        Parameters
        ----------
        t : float, int or None
            With no args (`None`), time will be set to the time used for last
            reset (or start time if no previous resets). If a number is
            received, this will be the new time on the clock.

        """
        if t is None:
            Clock.reset(self, self._countdown_duration)
        else:
            self._countdown_duration = t
            Clock.reset(self, t)


class StaticPeriod:
    """A class to help insert a timing period that includes code to be run.

    Parameters
    ----------
    screenHz : int or None
    the frame rate of the monitor (leave as None if you
            don't want this accounted for)
    win : :class:`~psychopy.visual.Window`
        If a :class:`~psychopy.visual.Window` is given then
        :class:`StaticPeriod` will also pause/restart frame interval recording.
    name : str
        Give this StaticPeriod a name for more informative logging messages.

    Examples
    --------
    Typical usage for the static period::

        fixation.draw()
        win.flip()
        ISI = StaticPeriod(screenHz=60)
        ISI.start(0.5)  # start a period of 0.5s
        stim.image = 'largeFile.bmp'  # could take some time
        ISI.complete()  # finish the 0.5s, taking into account one 60Hz frame

        stim.draw()
        win.flip()  # the period takes into account the next frame flip
        # time should now be at exactly 0.5s later than when ISI.start()
        # was called

    """
    def __init__(self, screenHz=None, win=None, name='StaticPeriod'):
        self.status = NOT_STARTED
        self.countdown = CountdownTimer()
        self.name = name
        self.win = win

        if screenHz is None:
            self.frameTime = 0
        else:
            self.frameTime = 1.0 / screenHz

        self._winWasRecordingIntervals = False

    def start(self, duration):
        """Start the period. If this is called a second time, the timer will
        be reset and starts again

        Parameters
        ----------
        duration : float or int
            The duration of the period, in seconds.

        """
        self.status = STARTED
        self.countdown.reset(duration - self.frameTime)

        # turn off recording of frame intervals throughout static period
        if self.win:
            self._winWasRecordingIntervals = self.win.recordFrameIntervals
            self.win.recordFrameIntervals = False

    def complete(self):
        """Completes the period, using up whatever time is remaining with a
        call to `wait()`.

        Returns
        -------
        float
            `1` for success, `0` for fail (the period overran).

        """
        self.status = FINISHED
        timeRemaining = self.countdown.getTime()

        if self.win:
            self.win.recordFrameIntervals = self._winWasRecordingIntervals

        if timeRemaining < 0:
            msg = ('We overshot the intended duration of %s by %.4fs. The '
                   'intervening code took too long to execute.')
            vals = self.name, abs(timeRemaining)
            psychopy.logging.warn(msg % vals)

            return 0

        wait(timeRemaining)

        return 1


def wait(secs, hogCPUperiod=0.2):
    """Wait for a given time period.

    If `secs=10` and `hogCPU=0.2` then for 9.8s Python's `time.sleep` function
    will be used, which is not especially precise, but allows the cpu to
    perform housekeeping. In the final `hogCPUperiod` the more precise
    method of constantly polling the clock is used for greater precision.

    If you want to obtain key-presses during the wait, be sure to use
    pyglet and to hogCPU for the entire time, and then call
    :func:`psychopy.event.getKeys()` after calling
    :func:`~.psychopy.core.wait()`

    If you want to suppress checking for pyglet events during the wait, do this
    once::

        core.checkPygletDuringWait = False

    and from then on you can do::

        core.wait(sec)

    This will preserve terminal-window focus during command line usage.

    Parameters
    ----------
    secs : float or int
    hogCPUperiod : float or int

    """
    from . import core

    # initial relaxed period, using sleep (better for system resources etc)
    if secs > hogCPUperiod:
        time.sleep(secs - hogCPUperiod)
        secs = hogCPUperiod  # only this much is now left

    # hog the cpu, checking time
    t0 = getTime()
    while (getTime() - t0) < secs:
        if not (core.havePyglet and core.checkPygletDuringWait):
            continue
        # let's see if pyglet collected any event in meantime
        try:
            # this takes focus away from command line terminal window:
            if parse_version(pyglet.version) < parse_version('1.2'):
                # events for sounds/video should run independently of wait()
                pyglet.media.dispatch_events()
        except AttributeError:
            # see http://www.pyglet.org/doc/api/pyglet.media-module.html#dispatch_events
            # Deprecated: Since pyglet 1.1, Player objects schedule themselves
            # on the default clock automatically. Applications should not call
            # pyglet.media.dispatch_events().
            pass
        for winWeakRef in core.openWindows:
            win = winWeakRef()
            if (win.winType == "pyglet" and
                    hasattr(win.winHandle, "dispatch_events")):
                win.winHandle.dispatch_events()  # pump events


def getAbsTime():
    """Get the absolute time.

    This uses the same clock-base as the other timing features, like
    `getTime()`. The time (in seconds) ignores the time-zone (like `time.time()`
    on linux). To take the timezone into account, use
    `int(time.mktime(time.gmtime()))`.

    Absolute times in seconds are especially useful to add to generated file
    names for being unique, informative (= a meaningful time stamp), and because
    the resulting files will always sort as expected when sorted in
    chronological, alphabetical, or numerical order, regardless of locale and so
    on.

    Version Notes: This method was added in PsychoPy 1.77.00

    Returns
    -------
    float
        Absolute Unix time (i.e., whole seconds elapsed since Jan 1, 1970).

    """
    return int(time.mktime(time.localtime()))
