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

import click

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   ⭐⭐⭐⭐  ⭐⭐⭐⭐  ⭐
"""

@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='jpg', 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(['LANCZOS', 'BICUBIC', 'HAMMING', 'BILINEAR', 'BOX', 'NEAREST']),
  default='LANCZOS',
  help='Scaling method to use')
@click.pass_context
def cli(ctx, opt_dir_in, opt_dir_out, opt_glob_ext, opt_size, opt_scale_method):
  """Crop, mirror images"""
  
  import os
  from os.path import join
  from pathlib import Path
  from glob import glob
  from tqdm import tqdm
  from PIL import Image, ImageOps, ImageFilter
  from app.utils import logger_utils, file_utils, im_utils
  
  # -------------------------------------------------
  # init

  log = logger_utils.Logger.getLogger()
  
  methods = {
    'LANCZOS': Image.LANCZOS,
    'BICUBIC': Image.BICUBIC,
    'HAMMING': Image.HAMMING,
    'BILINEAR': Image.BILINEAR,
    'BOX': Image.BOX,
    'NEAREST': Image.NEAREST
    }

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

  # get list of files to process
  fp_ims = glob(join(opt_dir_in, '*.{}'.format(opt_glob_ext)))
  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):
    im = Image.open(fp_im)
    im = ImageOps.fit(im, opt_size, method=scale_method, centering=(0.5, 0.5))
    fp_out = join(opt_dir_out, Path(fp_im).name)
    im.save(fp_out)