"""
Crop images to prepare for training
"""

import click
import cv2 as cv
from PIL import Image, ImageOps, ImageFilter

from app.settings import types
from app.utils import click_utils
from app.settings import app_cfg as cfg

"""
Filter    Q-Down Q-Up   Speed
NEAREST              ⭐⭐⭐⭐⭐
BOX       ⭐          ⭐⭐⭐⭐
BILINEAR  ⭐      ⭐   ⭐⭐⭐
HAMMING   ⭐⭐         ⭐⭐⭐
BICUBIC   ⭐⭐⭐   ⭐⭐⭐  ⭐⭐
LANCZOS   ⭐⭐⭐⭐  ⭐⭐⭐⭐  ⭐
"""
methods = {
  'lanczos': Image.LANCZOS,
  'bicubic': Image.BICUBIC,
  'hamming': Image.HAMMING,
  'bileaner': Image.BILINEAR,
  'box': Image.BOX,
  'nearest': Image.NEAREST
  }
centerings = {
  'tl': (0.0, 0.0),
  'tc': (0.5, 0.0),
  'tr': (0.0, 0.0),
  'lc': (0.0, 0.5),
  'cc': (0.5, 0.5),
  'rc': (1.0, 0.5),
  'bl': (0.0, 1.0),
  'bc': (1.0, 0.5),
  'br': (1.0, 1.0)
}

@click.command()
@click.option('-i', '--input', 'opt_dir_in', required=True,
  help='Input directory')
@click.option('-o', '--output', 'opt_dir_out', required=True,
  help='Output directory')
@click.option('-e', '--ext', 'opt_glob_ext',
  default='png', type=click.Choice(['jpg', 'png']),
  help='File glob ext')
@click.option('--size', 'opt_size',  
  type=(int, int), default=(256, 256),
  help='Output image size (square)')
@click.option('--method', 'opt_scale_method', 
  type=click.Choice(methods.keys()),
  default='lanczos',
  help='Scaling method to use')
@click.option('--equalize', 'opt_equalize', is_flag=True,
  help='Equalize historgram')
@click.option('--sharpen', 'opt_sharpen', is_flag=True,
  help='Unsharp mask')
@click.option('--center', 'opt_center', default='cc', type=click.Choice(centerings.keys()),
  help='Crop focal point')
@click.option('--slice', 'opt_slice', type=(int, int), default=(None, None),
  help='Slice the input list')
@click.pass_context
def cli(ctx, opt_dir_in, opt_dir_out, opt_glob_ext, opt_size, opt_scale_method,
 opt_equalize, opt_sharpen, opt_center, opt_slice):
  """Crop, mirror images"""
  
  import os
  from os.path import join
  from pathlib import Path
  from glob import glob
  from tqdm import tqdm

  from app.utils import logger_utils, file_utils, im_utils
  
  # -------------------------------------------------
  # init

  log = logger_utils.Logger.getLogger()

  centering = centerings[opt_center]

  # -------------------------------------------------
  # process here

  # get list of files to process
  fp_ims = glob(join(opt_dir_in, '*.{}'.format(opt_glob_ext)))
  if opt_slice:
    fp_ims = fp_ims[opt_slice[0]:opt_slice[1]]
  log.info('processing {:,} files'.format(len(fp_ims)))
  
  # set scale method
  scale_method = methods[opt_scale_method]

  # ensure output dir exists
  file_utils.mkdirs(opt_dir_out)

  # resize and save images
  for fp_im in tqdm(fp_ims):
    try:
      im = Image.open(fp_im).convert('RGB')
      im.verify()
    except Exception as e:
      log.warn('Could not open: {}'.format(fp_im))
      log.error(e)
      continue

    im = ImageOps.fit(im, opt_size, method=scale_method, centering=centering)

    if opt_equalize:
      im_np = im_utils.pil2np(im)
      im_np_eq = eq_hist_yuv(im_np)
      im_np = cv.addWeighted(im_np_eq, 0.35, im_np, 0.65, 0)
      im = im_utils.np2pil(im_np)

    if opt_sharpen:
      im = im.filter(ImageFilter.UnsharpMask)
      
    fp_out = join(opt_dir_out, Path(fp_im).name)
    im.save(fp_out)


def eq_hist_yuv(im):
  im_yuv = cv.cvtColor(im, cv.COLOR_BGR2YUV)
  im_yuv[:,:,0] = cv.equalizeHist(im_yuv[:,:,0])
  return cv.cvtColor(im_yuv, cv.COLOR_YUV2BGR)