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

"""Restrict a stimulus visibility area to a basic shape or list of vertices.
"""

# Part of the PsychoPy library
# Copyright (C) 2002-2018 Jonathan Peirce (C) 2019-2021 Open Science Tools Ltd.
# Distributed under the terms of the GNU General Public License (GPL).

from __future__ import absolute_import, print_function

from builtins import str
from past.builtins import basestring
import os

# Ensure setting pyglet.options['debug_gl'] to False is done prior to any
# other calls to pyglet or pyglet submodules, otherwise it may not get picked
# up by the pyglet GL engine and have no effect.
# Shaders will work but require OpenGL2.0 drivers AND PyOpenGL3.0+
import pyglet
pyglet.options['debug_gl'] = False
GL = pyglet.gl

import psychopy  # so we can get the __path__
from psychopy import logging, core
import psychopy.event

# tools must only be imported *after* event or MovieStim breaks on win32
# (JWP has no idea why!)
from psychopy.tools.monitorunittools import cm2pix, deg2pix, convertToPix
from psychopy.tools.attributetools import attributeSetter, setAttribute
from psychopy.visual.shape import BaseShapeStim
from psychopy.visual.image import ImageStim
from psychopy.visual.basevisual import MinimalStim, ContainerMixin

import numpy
from numpy import cos, sin, radians

from psychopy.constants import STARTED, STOPPED


class Aperture(MinimalStim, ContainerMixin):
    """Restrict a stimulus visibility area to a basic shape or
    list of vertices.

    When enabled, any drawing commands will only operate on pixels within
    the Aperture. Once disabled, subsequent draw operations affect the whole
    screen as usual.

    If shape is 'square' or 'triangle' then that is what will be used
    If shape is 'circle' or `None` then a polygon with nVerts will be used (120 for a rough circle)
    If shape is a list or numpy array (Nx2) then it will be used directly
        as the vertices to a :class:`~psychopy.visual.ShapeStim`
    If shape is a filename then it will be used to load and image as a
        :class:`~psychopy.visual.ImageStim`. Note that transparent parts
        in the image (e.g. in a PNG file) will not be included in the mask
        shape. The color of the image will be ignored.

    See demos/stimuli/aperture.py for example usage

    :Author:
        2011, Yuri Spitsyn
        2011, Jon Peirce added units options, Jeremy Gray added shape & orientation
        2014, Jeremy Gray added .contains() option
        2015, Thomas Emmerling added ImageStim option
    """

    def __init__(self, win, size=1, pos=(0, 0), ori=0, nVert=120,
                 shape='circle', inverted=False, units=None,
                 name=None, autoLog=None):
        # what local vars are defined (these are the init params) for use by
        # __repr__
        self._initParams = dir()
        self._initParams.remove('self')
        super(Aperture, self).__init__(name=name, autoLog=False)

        # set self params
        self.autoLog = False  # change after attribs are set
        self.win = win
        if not win.allowStencil:
            logging.error('Aperture has no effect in a window created '
                          'without allowStencil=True')
            core.quit()
        self.__dict__['size'] = size
        self.__dict__['pos'] = pos
        self.__dict__['ori'] = ori
        self.__dict__['inverted'] = inverted
        self.__dict__['filename'] = False

        # unit conversions
        if units != None and len(units):
            self.units = units
        else:
            self.units = win.units

        # set vertices using shape, or default to a circle with nVerts edges
        if hasattr(shape, 'lower') and not os.path.isfile(shape):
            shape = shape.lower()
        if shape is None or shape == 'circle':
            # NB: pentagon etc point upwards by setting x,y to be y,x
            # (sin,cos):
            vertices = [(0.5 * sin(radians(theta)), 0.5 * cos(radians(theta)))
                        for theta in numpy.linspace(0, 360, nVert, False)]
        elif shape == 'square':
            vertices = [[0.5, -0.5], [-0.5, -0.5], [-0.5, 0.5], [0.5, 0.5]]
        elif shape == 'triangle':
            vertices = [[0.5, -0.5], [0, 0.5], [-0.5, -0.5]]
        elif type(shape) in [tuple, list, numpy.ndarray] and len(shape) > 2:
            vertices = shape
        elif isinstance(shape, basestring):
            # is a string - see if it points to a file
            if os.path.isfile(shape):
                self.__dict__['filename'] = shape
            else:
                msg = ("Unrecognized shape for aperture. Expected 'circle',"
                       " 'square', 'triangle', vertices, filename, or None;"
                       " got %s")
                logging.error(msg % repr(shape))

        if self.__dict__['filename']:
            self._shape = ImageStim(
                win=self.win, image=self.__dict__['filename'],
                pos=pos, size=size, autoLog=False, units=self.units)
        else:
            self._shape = BaseShapeStim(
                win=self.win, vertices=vertices, fillColor=1, lineColor=None, colorSpace='rgb',
                interpolate=False, pos=pos, size=size, autoLog=False, units=self.units)
            self.vertices = self._shape.vertices
            self._needVertexUpdate = True

        self._needReset = True  # Default when setting attributes
        # implicitly runs a self.enabled = True. Also sets
        # self._needReset = True on every call
        self._reset()

        # set autoLog now that params have been initialised
        wantLog = autoLog is None and self.win.autoLog
        self.__dict__['autoLog'] = autoLog or wantLog
        if self.autoLog:
            logging.exp("Created {} = {}".format(self.name, self))

    def _reset(self):
        """Internal method to rebuild the shape - shouldn't be called by
        the user. You have to explicitly turn resetting off by setting
        self._needReset = False
        """
        if not self._needReset:
            self._needReset = True
        else:
            self.enabled = True  # attributeSetter, turns on.
            GL.glClearStencil(0)
            GL.glClear(GL.GL_STENCIL_BUFFER_BIT)

            GL.glPushMatrix()
            if self.__dict__['filename'] == False:
                self.win.setScale('pix')

            GL.glDisable(GL.GL_LIGHTING)
            self.win.depthTest = False
            self.win.depthMask = False
            GL.glStencilFunc(GL.GL_NEVER, 0, 0)
            GL.glStencilOp(GL.GL_INCR, GL.GL_INCR, GL.GL_INCR)

            if self.__dict__['filename']:
                GL.glEnable(GL.GL_ALPHA_TEST)
                GL.glAlphaFunc(GL.GL_GREATER, 0)
                self._shape.draw()
                GL.glDisable(GL.GL_ALPHA_TEST)
            else:
                # draw without push/pop matrix
                self._shape.draw(keepMatrix=True)

            if self.inverted:
                GL.glStencilFunc(GL.GL_EQUAL, 0, 1)
            else:
                GL.glStencilFunc(GL.GL_EQUAL, 1, 1)
            GL.glStencilOp(GL.GL_KEEP, GL.GL_KEEP, GL.GL_KEEP)

            GL.glPopMatrix()

    @attributeSetter
    def size(self, size):
        """Set the size (diameter) of the Aperture.

        This essentially controls a :class:`.ShapeStim` so see
        documentation for ShapeStim.size.

        :ref:`Operations <attrib-operations>` supported here as
        well as ShapeStim.

        Use setSize() if you want to control logging and resetting.
        """
        self.__dict__['size'] = size
        self._shape.size = size  # _shape is a ShapeStim
        self._reset()

    def setSize(self, size, needReset=True, log=None):
        """Usually you can use 'stim.attribute = value' syntax instead,
        but use this method if you need to suppress the log message
        """
        self._needReset = needReset
        setAttribute(self, 'size', size, log)

    @attributeSetter
    def ori(self, ori):
        """Set the orientation of the Aperture.

        This essentially controls a :class:`.ShapeStim` so see
        documentation for ShapeStim.ori.

        :ref:`Operations <attrib-operations>` supported here as
        well as ShapeStim.

        Use setOri() if you want to control logging and resetting.
        """
        self.__dict__['ori'] = ori
        self._shape.ori = ori  # a ShapeStim
        self._reset()

    def setOri(self, ori, needReset=True, log=None):
        """Usually you can use 'stim.attribute = value' syntax instead,
        but use this method if you need to suppress the log message.
        """
        self._needReset = needReset
        setAttribute(self, 'ori', ori, log)

    @attributeSetter
    def pos(self, pos):
        """Set the pos (centre) of the Aperture.
        :ref:`Operations <attrib-operations>` supported.

        This essentially controls a :class:`.ShapeStim` so see
        documentation for ShapeStim.pos.

        :ref:`Operations <attrib-operations>` supported here as
        well as ShapeStim.

        Use setPos() if you want to control logging and resetting.
        """
        self.__dict__['pos'] = numpy.array(pos)
        self._shape.pos = self.pos  # a ShapeStim
        self._reset()

    def setPos(self, pos, needReset=True, log=None):
        """Usually you can use 'stim.attribute = value' syntax instead,
        but use this method if you need to suppress the log message
        """
        self._needReset = needReset
        setAttribute(self, 'pos', pos, log)

    @attributeSetter
    def inverted(self, value):
        """True / False. Set to true to invert the aperture.
        A non-inverted aperture masks everything BUT the selected shape.
        An inverted aperture masks the selected shape.

        NB. The Aperture is not inverted by default, when created.
        """
        self.__dict__['inverted'] = value
        self._reset()

    def invert(self):
        """Use Aperture.inverted = True instead.
        """
        self.inverted = True

    @property
    def posPix(self):
        """The position of the aperture in pixels
        """
        return self._shape.posPix

    @property
    def sizePix(self):
        """The size of the aperture in pixels
        """
        return self._shape.sizePix

    @attributeSetter
    def enabled(self, value):
        """True / False. Enable or disable the aperture.
        Determines whether it is used in future drawing operations.

        NB. The Aperture is enabled by default, when created.
        """
        if value:
            if self._shape._needVertexUpdate:
                self._shape._updateVertices()
            self.win.stencilTest = True
            self.status = STARTED
        else:
            self.win.stencilTest = False
            self.status = STOPPED

        self.__dict__['enabled'] = value

    def enable(self):
        """Use Aperture.enabled = True instead.
        """
        self.enabled = True

    def disable(self):
        """Use Aperture.enabled = False instead.
        """
        self.enabled = False

    def __del__(self):
        try:
            self.enabled = False
        except (ImportError, ModuleNotFoundError, TypeError):
            pass  # trying to avoid 'Exception ignored in: ....' error from pyglet when experiment exits
