import os
import xbmcvfs
import colorsys
import hashlib
from xbmc import getCacheThumbName, skinHasImage, Monitor, sleep
from jurialmunkey.window import get_property
from tmdbhelper.lib.addon.plugin import get_infolabel, get_setting, ADDONDATA
from jurialmunkey.parser import try_int, try_float
from tmdbhelper.lib.files.futils import make_path
from threading import Thread
import urllib.request as urllib
from tmdbhelper.lib.addon.logger import kodi_log

# PIL causes issues (via numpy) on Linux systems using python versions higher than 3.8.5
# Lazy import PIL to avoid using it unless user requires ImageFunctions
ImageFilter, Image = None, None


def lazyimport_pil(func):
    def wrapper(*args, **kwargs):
        global ImageFilter
        if ImageFilter is None:
            from PIL import ImageFilter
        return func(*args, **kwargs)
    return wrapper


def md5hash(value):
    value = str(value).encode()
    return hashlib.md5(value).hexdigest()


def _imageopen(image):
    global Image
    if Image is None:
        from PIL import Image
    return Image.open(image)


def _closeimage(image, targetfile=None):
    image.close()
    if not targetfile:
        return
    xbmcvfs.delete(targetfile)


def _openimage(image, targetpath, filename):
    """ Open image helper with thanks to sualfred """
    # some paths require unquoting to get a valid cached thumb hash
    cached_image_path = urllib.unquote(image.replace('image://', ''))
    if cached_image_path.endswith('/'):
        cached_image_path = cached_image_path[:-1]

    cached_files = []
    for path in [getCacheThumbName(cached_image_path), getCacheThumbName(image)]:
        cached_files.append(os.path.join('special://profile/Thumbnails/', path[0], path[:-4] + '.jpg'))
        cached_files.append(os.path.join('special://profile/Thumbnails/', path[0], path[:-4] + '.png'))
        cached_files.append(os.path.join('special://profile/Thumbnails/Video/', path[0], path))

    for i in range(1, 4):
        try:
            ''' Try to get cached image at first
            '''
            for cache in cached_files:
                if xbmcvfs.exists(cache):
                    try:
                        img = _imageopen(xbmcvfs.translatePath(cache))
                        return (img, None)

                    except Exception as error:
                        kodi_log('Image error: Could not open cached image --> %s' % error, 2)

            ''' Skin images will be tried to be accessed directly. For all other ones
                the source will be copied to the addon_data folder to get access.
            '''
            if skinHasImage(image):
                if not image.startswith('special://skin'):
                    image = os.path.join('special://skin/media/', image)

                try:  # in case image is packed in textures.xbt
                    img = _imageopen(xbmcvfs.translatePath(image))
                    return (img, None)

                except Exception:
                    return ('', None)

            else:
                targetfile = os.path.join(targetpath, f'temp_{filename}')  # Use temp file to avoid Kodi writing early
                if not xbmcvfs.exists(targetfile):
                    xbmcvfs.copy(image, targetfile)

                img = _imageopen(targetfile)
                return (img, targetfile)

        except Exception as error:
            kodi_log('Image error: Could not get image for %s (try %d) -> %s' % (image, i, error), 2)
            sleep(500)
            pass

    return ('', None)


def _saveimage(image, targetfile):
    """ Save image object to disk
    Uses flush() and os.fsync() to ensure file is written to disk before continuing
    Used to prevent Kodi from attempting to cache the image before writing is complete
    """
    with xbmcvfs.File(targetfile, 'wb') as f:
        image.save(f, 'PNG')
        # f.flush()
        # os.fsync(f)


class ImageFunctions(Thread):
    save_path = f"{get_setting('image_location', 'str') or ADDONDATA}{{}}/"
    blur_size = try_int(get_infolabel('Skin.String(TMDbHelper.Blur.Size)')) or 480
    crop_size = (800, 310)
    radius = try_int(get_infolabel('Skin.String(TMDbHelper.Blur.Radius)')) or 40

    def __init__(self, method=None, artwork=None, is_thread=True, prefix='ListItem'):
        if is_thread:
            Thread.__init__(self)
        self.image = artwork
        self.func = None
        self.save_orig = False
        self.save_prop = None
        if method == 'blur':
            self.func = self.blur
            self.save_path = make_path(self.save_path.format('blur_v2'))
            self.save_prop = f'{prefix}.BlurImage'
            self.save_orig = True
        elif method == 'crop':
            self.func = self.crop
            self.save_path = make_path(self.save_path.format('crop_v2'))
            self.save_prop = f'{prefix}.CropImage'
            self.save_orig = True
        elif method == 'desaturate':
            self.func = self.desaturate
            self.save_path = make_path(self.save_path.format('desaturate_v2'))
            self.save_prop = f'{prefix}.DesaturateImage'
            self.save_orig = True
        elif method == 'colors':
            self.func = self.colors
            self.save_path = make_path(self.save_path.format('colors_v2'))
            self.save_prop = f'{prefix}.Colors'

    def run(self):
        if not self.save_prop or not self.func:
            return
        output = self.func(self.image) if self.image else None
        self.set_properties(output)

    def set_properties(self, output):
        if not output:
            get_property(self.save_prop, clear_property=True)
            get_property(f'{self.save_prop}.Original', clear_property=True) if self.save_orig else None
            return
        get_property(self.save_prop, output)
        get_property(f'{self.save_prop}.Original', self.image) if self.save_orig else None

    def clamp(self, x):
        return max(0, min(x, 255))

    @lazyimport_pil
    def crop(self, source):
        if not source:
            return ''
        filename = f'cropped-{md5hash(source)}.png'
        destination = os.path.join(self.save_path, filename)
        try:
            if not xbmcvfs.exists(destination):  # Used to do os.utime(destination, None) on existing here
                img, targetfile = _openimage(source, self.save_path, filename)
                try:
                    # Errors with single channel L conversion to RGBa so catch exceptions
                    img_rgba = img.convert('RGBa')
                    img = img.crop(img_rgba.getbbox())
                except Exception:
                    # If we get a conversion error just try getting bounding box with current channel
                    # We'll probably be okay with single channel texture since Kodi now handles these better
                    img = img.crop(img.getbbox())
                img.thumbnail(self.crop_size)
                _saveimage(img, destination)
                _closeimage(img, targetfile)

            return destination

        except Exception as exc:
            kodi_log(f'Crop Error:\n{source}\n{destination}\n{exc}', 2)
            return ''

    @lazyimport_pil
    def blur(self, source):
        filename = f'{md5hash(source)}-{self.radius}-{self.blur_size}.jpg'
        destination = os.path.join(self.save_path, filename)
        try:
            if not xbmcvfs.exists(destination):  # os.utime(destination, None)
                img, targetfile = _openimage(source, self.save_path, filename)
                img.thumbnail((self.blur_size, self.blur_size))
                img = img.convert('RGB')
                img = img.filter(ImageFilter.GaussianBlur(self.radius))
                _saveimage(img, destination)
                _closeimage(img, targetfile)

            return destination

        except Exception:
            return ''

    @lazyimport_pil
    def desaturate(self, source):
        filename = f'{md5hash(source)}.png'
        destination = os.path.join(self.save_path, filename)
        try:
            if not xbmcvfs.exists(destination):  # os.utime(destination, None)
                img, targetfile = _openimage(source, self.save_path, filename)
                img = img.convert('LA')
                _saveimage(img, destination)
                _closeimage(img, targetfile)

            return destination

        except Exception:
            return ''

    def get_maincolor(self, img):
        """Returns main color of image as list of rgb values 0:255"""
        rgb_list = [None, None, None]
        for channel in range(3):
            pixels = img.getdata(band=channel)
            values = [pixel for pixel in pixels]
            rgb_list[channel] = self.clamp(sum(values) / len(values))
        return rgb_list

    def get_compcolor(self, r, g, b, shift=0.33):
        """
        Changes hue of color by shift value (percentage float)
        Takes RGB as 0:255 values and returns RGB as 0:255 values
        """
        hls_tuple = colorsys.rgb_to_hls(r / 255.0, g / 255.0, b / 255.0)
        rgb_tuple = colorsys.hls_to_rgb(abs(hls_tuple[0] - shift), hls_tuple[1], hls_tuple[2])
        return self.rgb_to_int(*rgb_tuple)

    def get_color_lumsat(self, r, g, b):
        hls_tuple = colorsys.rgb_to_hls(r / 255.0, g / 255.0, b / 255.0)
        hue = hls_tuple[0]
        lum = try_float(get_infolabel('Skin.String(TMDbHelper.Colors.Luminance)')) or hls_tuple[1]
        sat = try_float(get_infolabel('Skin.String(TMDbHelper.Colors.Saturation)')) or hls_tuple[2]
        return self.rgb_to_int(*colorsys.hls_to_rgb(hue, lum, sat))

    def rgb_to_int(self, r, g, b):
        return [try_int(self.clamp(i * 255)) for i in [r, g, b]]

    def rgb_to_hex(self, r, g, b):
        return f'FF{r:02x}{g:02x}{b:02x}'

    def hex_to_rgb(self, colorhex):
        r = try_int(colorhex[2:4], 16)
        g = try_int(colorhex[4:6], 16)
        b = try_int(colorhex[6:8], 16)
        return [r, g, b]

    def set_prop_colorgradient(self, propname, start_hex, end_hex, checkprop):
        if not start_hex or not end_hex:
            return

        steps = 20

        rgb_a = self.hex_to_rgb(start_hex)
        rgb_z = self.hex_to_rgb(end_hex)

        inc_r = (rgb_z[0] - rgb_a[0]) // steps
        inc_g = (rgb_z[1] - rgb_a[1]) // steps
        inc_b = (rgb_z[2] - rgb_a[2]) // steps

        val_r = rgb_a[0]
        val_g = rgb_a[1]
        val_b = rgb_a[2]

        for i in range(steps):
            if get_property(checkprop) != start_hex:
                return
            hex_value = self.rgb_to_hex(val_r, val_g, val_b)
            get_property(propname, set_property=hex_value)
            val_r = val_r + inc_r
            val_g = val_g + inc_g
            val_b = val_b + inc_b
            Monitor().waitForAbort(0.05)

        get_property(propname, set_property=end_hex)
        return end_hex

    @lazyimport_pil
    def colors(self, source):
        filename = f'{md5hash(source)}.png'
        destination = self.save_path + filename
        targetfile = None

        try:
            if xbmcvfs.exists(destination):  # os.utime(destination, None)
                img = _imageopen(xbmcvfs.translatePath(destination))
            else:
                img, targetfile = _openimage(source, self.save_path, filename)
                img.thumbnail((128, 128))
                img = img.convert('RGB')
                _saveimage(img, destination)

            maincolor_rgb = self.get_maincolor(img)
            maincolor_hex = self.rgb_to_hex(*self.get_color_lumsat(*maincolor_rgb))
            compcolor_rgb = self.get_compcolor(*maincolor_rgb)
            compcolor_hex = self.rgb_to_hex(*self.get_color_lumsat(*compcolor_rgb))

            maincolor_propname = self.save_prop + '.Main'
            maincolor_propchek = self.save_prop + '.MainCheck'
            maincolor_propvalu = get_property(maincolor_propname)
            if not maincolor_propvalu:
                get_property(maincolor_propname, set_property=maincolor_hex)
            else:
                get_property(maincolor_propchek, set_property=maincolor_propvalu)
                thread_maincolor = Thread(target=self.set_prop_colorgradient, args=[
                    maincolor_propname, maincolor_propvalu, maincolor_hex, maincolor_propchek])
                thread_maincolor.start()

            compcolor_propname = self.save_prop + '.Comp'
            compcolor_propchek = self.save_prop + '.CompCheck'
            compcolor_propvalu = get_property(compcolor_propname)
            if not compcolor_propvalu:
                get_property(compcolor_propname, set_property=compcolor_hex)
            else:
                get_property(compcolor_propchek, set_property=compcolor_propvalu)
                thread_compcolor = Thread(target=self.set_prop_colorgradient, args=[
                    compcolor_propname, compcolor_propvalu, compcolor_hex, compcolor_propchek])
                thread_compcolor.start()

            _closeimage(img, targetfile)
            return maincolor_hex

        except Exception as exc:
            kodi_log(exc, 1)
            return ''
