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#!/usr/bin/env python

"""Implementation of the I-VT algorithm as described in:
        
    **Dario D. Salvucci and Joseph H. Goldberg (2000).**  
    *Identifying fixations and saccades in eye-tracking protocols.*  
    In Proceedings of the 2000 symposium on Eye tracking research & applications (ETRA'00, 71-78).  
    [https://doi.org/10.1145/355017.355028](https://doi.org/10.1145/355017.355028)
"""

__author__ = "Théo de la Hogue"
__credits__ = []
__copyright__ = "Copyright 2023, Ecole Nationale de l'Aviation Civile (ENAC)"
__license__ = "BSD"

from typing import TypeVar, Tuple
from dataclasses import dataclass, field
import math

from argaze import GazeFeatures

import numpy
import cv2

GazeMovementType = TypeVar('GazeMovement', bound="GazeMovement")
# Type definition for type annotation convenience

FixationType = TypeVar('Fixation', bound="Fixation")
# Type definition for type annotation convenience

SaccadeType = TypeVar('Saccade', bound="Saccade")
# Type definition for type annotation convenience

@dataclass(frozen=True)
class Fixation(GazeFeatures.Fixation):
    """Define dispersion based fixation."""

    deviation_max: float = field(init=False)
    """Maximal gaze position distance to the centroïd."""

    def __post_init__(self):

        super().__post_init__()

        points = self.positions.values()
        points_x, points_y = [p[0] for p in points], [p[1] for p in points]
        points_array = numpy.column_stack([points_x, points_y])
        centroid_array = numpy.array([numpy.mean(points_x), numpy.mean(points_y)])
        deviations_array = numpy.sqrt(numpy.sum((points_array - centroid_array)**2, axis=1))

        # Update frozen focus attribute using centroid
        object.__setattr__(self, 'focus', (centroid_array[0], centroid_array[1]))

        # Update frozen deviation_max attribute
        object.__setattr__(self, 'deviation_max', max(deviations_array))

    def point_deviation(self, gaze_position) -> float:
        """Get distance of a point from the fixation's centroïd."""

        return numpy.sqrt((self.centroid[0] - gaze_position.value[0])**2 + (self.centroid[1] - gaze_position.value[1])**2)

    def overlap(self, fixation) -> bool:
        """Does a gaze position from another fixation having a deviation to this fixation centroïd smaller than maximal deviation?"""

        points = fixation.positions.values()
        points_x, points_y = [p[0] for p in points], [p[1] for p in points]
        points_array = numpy.column_stack([points_x, points_y])
        centroid_array = numpy.array([self.centroid[0], self.centroid[1]])
        deviations_array = numpy.sqrt(numpy.sum((points_array - centroid_array)**2, axis=1))

        return min(deviations_array) <= self.deviation_max

    def merge(self, fixation) -> FixationType:
        """Merge another fixation into this fixation."""

        self.positions.append(fixation.positions)
        self.__post_init__()

        return self

    def draw(self, image: numpy.array, color=(127, 127, 127), border_color=(255, 255, 255)):
        """Draw fixation into image."""

        cv2.circle(image, (int(self.focus[0]), int(self.focus[1])), int(self.deviation_max), color, -1)
        cv2.circle(image, (int(self.focus[0]), int(self.focus[1])), int(self.deviation_max), border_color, int(self.duration*1e-3))

@dataclass(frozen=True)
class Saccade(GazeFeatures.Saccade):
    """Define dispersion based saccade."""

    def __post_init__(self):
        super().__post_init__()

    def draw(self, image: numpy.array, color=(255, 255, 255)):
        """Draw saccade into image."""

        _, start_position = self.positions.first
        _, last_position = self.positions.last

        cv2.line(image, (int(start_position[0]), int(start_position[1])), (int(last_position[0]), int(last_position[1])), color, 2)

@dataclass
class GazeMovementIdentifier(GazeFeatures.GazeMovementIdentifier):
    """Implementation of the I-VT algorithm as described in:
        
            Dario D. Salvucci and Joseph H. Goldberg. 2000. Identifying fixations and
            saccades in eye-tracking protocols. In Proceedings of the 2000 symposium
            on Eye tracking research & applications (ETRA '00). ACM, New York, NY, USA,
            71-78. [http://dx.doi.org/10.1145/355017.355028](http://dx.doi.org/10.1145/355017.355028)
    """

    velocity_max_threshold: int|float
    """Maximal velocity allowed to consider a gaze movement as a fixation."""

    duration_min_threshold: int|float
    """Minimal duration allowed to wait valid gaze positions."""

    def __post_init__(self):

        self.__last_ts = -1
        self.__last_position = None

        self.__fixation_positions = GazeFeatures.TimeStampedGazePositions()
        self.__saccade_positions = GazeFeatures.TimeStampedGazePositions()

    def identify(self, ts, gaze_position, terminate=False) -> GazeMovementType:
        """Identify gaze movement from successive timestamped gaze positions.

            The optional *terminate* argument allows to notify identification algorithm that given gaze position will be the last one.
        """

        # Ignore non valid gaze position
        if not gaze_position.valid:

            return GazeFeatures.UnvalidGazeMovement() if not terminate else self.current_fixation.finish()

        # Store first valid position
        if self.__last_ts < 0:

            self.__last_ts = ts
            self.__last_position = gaze_position

            return GazeFeatures.UnvalidGazeMovement()

        # Check if too much time elapsed since last gaze position
        if (ts - self.__last_ts) > self.duration_min_threshold:

            # Remember last position
            self.__last_ts = ts
            self.__last_position = gaze_position

            # Get last movement
            last_movement = self.current_gaze_movement.finish()

            # Clear all former gaze positions
            self.__fixation_positions = GazeFeatures.TimeStampedGazePositions()
            self.__saccade_positions = GazeFeatures.TimeStampedGazePositions()

            # Return last valid movement if exist
            return last_movement
        
        # Velocity
        velocity = abs(gaze_position.distance(self.__last_position) / (ts - self.__last_ts))

        # Remember last position
        self.__last_ts = ts
        self.__last_position = gaze_position

        # Velocity is greater than threshold
        if velocity > self.velocity_max_threshold:

            last_fixation = GazeFeatures.UnvalidGazeMovement()

            # Does last fixation exist?
            if len(self.__fixation_positions) > 0:

                # Copy most recent fixation position into saccade positions
                last_ts, last_position = self.__fixation_positions.last
                self.__saccade_positions[last_ts] = last_position

                # Create last fixation
                last_fixation = self.current_fixation.finish()

                # Clear fixation positions
                self.__fixation_positions = GazeFeatures.TimeStampedGazePositions()

            # Append to saccade positions
            self.__saccade_positions[ts] = gaze_position

            # Output last fixation
            return last_fixation if not terminate else self.current_saccade.finish()

        # Velocity is less or equals to threshold
        else:

            last_saccade = GazeFeatures.UnvalidGazeMovement()

            # Does last saccade exist?
            if len(self.__saccade_positions) > 0:

                # Copy most recent saccade position into fixation positions
                last_ts, last_position = self.__saccade_positions.last
                self.__fixation_positions[last_ts] = last_position

                # Create last saccade
                last_saccade = self.current_saccade.finish()

                # Clear fixation positions
                self.__saccade_positions = GazeFeatures.TimeStampedGazePositions()

            # Append to fixation positions
            self.__fixation_positions[ts] = gaze_position

            # Output last saccade
            return last_saccade if not terminate else self.current_fixation.finish()
                
        # Always return unvalid gaze movement at least
        return GazeFeatures.UnvalidGazeMovement()

    @property
    def current_gaze_movement(self) -> GazeMovementType:

        # It shouldn't have a current fixation and a current saccade at the same time
        assert(not (len(self.__fixation_positions) > 0 and len(self.__saccade_positions) > 0))

        if len(self.__fixation_positions) > 0:

            return Fixation(self.__fixation_positions)

        if len(self.__saccade_positions) > 0:
            
            return Saccade(self.__saccade_positions)

        # Always return unvalid gaze movement at least
        return GazeFeatures.UnvalidGazeMovement()
        
    @property
    def current_fixation(self) -> FixationType:

        if len(self.__fixation_positions) > 0:

            return Fixation(self.__fixation_positions)

        # Always return unvalid gaze movement at least
        return GazeFeatures.UnvalidGazeMovement()

    @property
    def current_saccade(self) -> SaccadeType:

        if len(self.__saccade_positions) > 0:

            return Saccade(self.__saccade_positions)

        # Always return unvalid gaze movement at least
        return GazeFeatures.UnvalidGazeMovement()