'''
DATASET/:
    test/:
        0/ # without watermark
        1/ # with
    train/:
        0/
        1/
    validation/:
        0/
        1/
'''

# pip install opencv-python
# pip install PyWavelets

from blind_watermark import WaterMark
from PIL import Image
import os, sys, PIL, shutil, time, glob
from numpy.random import randint


def renameimg(path):
    os.getcwd()
    for i, filename in enumerate(os.listdir(path)):
        try:
            os.rename(path + "/" + filename, path + "/" + str(i) + ".jpeg")
        
        except FileExistsError:
            pass

def resize(path, color_mode):
    dirs = os.listdir(path)
    print('before resize ', len(dirs))
    for item in dirs:
        try:
            # print(item)
            with Image.open(fr'{path}/{item}') as im:
                resized = im.convert(f'{color_mode}').resize((Width,Height))
                resized.save(fr'{path}/{item}')
                time.sleep(0.0003)
                # print(fr'for {item} have been done')
        except PIL.UnidentifiedImageError:
            print(fr"Confirmed: This image {path}/{item} cannot be opened!")
            # os.remove(f'{path}{item}')
        except OSError:
            im = Image.open(fr'{path}/{item}').convert(f'{color_mode}').resize((Width,Height))
            im.save(fr'{path}/{item}')
            print(fr"Chanched by hands for {path}/{item}")
    dirs = os.listdir(path)
    print('after resize ', len(dirs))

def moveimg(fromdir, todir, STOP):
    for i, filename in enumerate(os.listdir(fromdir)):
        if i == STOP:
            break
        else:
            shutil.move(fromdir + "/" + filename, todir + "/" + filename)
            i += 1

def lenght_watermark(img_name, watermark, passwordwm=1):
    bwm1 = WaterMark(password_img=1, password_wm=passwordwm) # mode='common' vs mode='multithreading'
    bwm1.read_img(f'{img_name}')
    bwm1.read_wm(watermark, mode='str')
    len_wm = len(bwm1.wm_bit)
    return len_wm

def embed_watermark(img_name, watermark, passwordwm=1, compression_ratio=100, d1 = 9, d2 = 7, fast_mode = True, n = 3):
    bwm1 = WaterMark(password_img=1, password_wm=passwordwm, mode='common', d1 = d1, d2 = d2, fast_mode = fast_mode, n = n) 
    bwm1.read_img(f'{img_name}')
    bwm1.read_wm(watermark, mode='str')
    bwm1.embed(f'{img_name}', compression_ratio=compression_ratio)



Width, Height = 512, 256
path = "COCO" 
color_mode = "RGB" 
# renameimg(path)
# resize(path, color_mode)


src = 'COCO'
train_list = ['DATASET/train/0', 'DATASET/train/1']
# for dst in train_list:
#     moveimg(src, dst, 37020)

validation_and_test_list = ['DATASET/validation/0', 'DATASET/validation/1', 'DATASET/test/0', 'DATASET/test/1']
# for dst in validation_and_test_list:
#     moveimg(src, dst, 12340)


image_with_wm = ['DATASET/train/1', 'DATASET/validation/1', 'DATASET/test/1']
times = 4

for paths in image_with_wm:
    count = len(os.listdir(paths))
    print(f'current count = {count}')

    os.chdir(f"{paths}/")
    print('current directory = ', os.getcwd())
    images = glob.glob("*.jpeg")

    for name in images:
        # print(name)
        password_wm = randint(1,999999999)
        wm = str(randint(1000000,9999999))
        d1 = d2 = randint(1,9)
        block_size = randint(1,5)
        embed_watermark(name, wm*times, password_wm, d1 = d1, d2 = d2, n = block_size)
        count -= 1
        if count % 10 == 0:
            print(f'current count = {count}')