import requests
import os
from PIL import Image
import numpy as np
from rembg import remove


class preprcessInput:

    def __init__(self):
        self.o_width = None
        self.o_height = None
        self.o_image = None

        self.t_width = None
        self.t_height = None
        self.t_image = None
        self.save_path = None

    def remove_bg(self, file_path: str):
        self.save_path = file_path[:-3]+'.png'
        pic = Image.open(file_path)
        self.o_width = np.asarray(pic).shape[1]
        self.o_height = np.asarray(pic).shape[0]
        try:
            self.o_channels = np.asarray(pic).shape[2]
        except Exception as e:
            print("Single channel image and error", e)
        os.remove(file_path)
        self.o_image = remove(pic)
        self.o_image.save(self.save_path)
        os.remove(self.save_path)
        return np.asarray(self.o_image)

    def transform(self, width=768, height=1024):
        newsize = (width, height)
        self.t_height = height
        self.t_width = width

        pic = self.o_image
        img = pic.resize(newsize)

        self.t_image = img

        background = Image.new("RGBA", newsize, (255, 255, 255, 255))
        background.paste(img, mask=img.split()[3])  # 3 is the alpha channel
        self.save_path = self.save_path[:-3] + '.jpg'
        background.convert('RGB').save(self.save_path, 'JPEG')

        return np.asarray(background.convert('RGB'))


# USAGE OF THE CLASS
# preprocess = preprcessInput()
# for images in os.listdir('F:\\AI\\StableVITON-master\\datasets\\test\\cloth'):
#     print(images)
#     if images[-3:] == 'jpg':
#         op = preprocess.remove_bg('F:\\AI\\StableVITON-master\\datasets\\test\\cloth\\'+images)
#         arr = preprocess.transform(768, 1024)