import base64
import cv2
import numpy as np
#import pandas as pd
from PIL import Image
import os
import uuid as uniq
from qr import make_qr
import math


def to_bin(data):
    """Convert `data` to binary format as string"""
    if isinstance(data, str):
        return ''.join([ format(ord(i), "08b") for i in data ])
    elif isinstance(data, bytes):
        return ''.join([ format(i, "08b") for i in data ])
    elif isinstance(data, np.ndarray):
        return [ format(i, "08b") for i in data ]
    elif isinstance(data, int) or isinstance(data, np.uint8):
        return format(data, "08b")
    else:
        raise TypeError("Type not supported.")
def decode(image_name,txt=None):
    BGRimage = cv2.imread(image_name)
    image = cv2.cvtColor(BGRimage, cv2.COLOR_BGR2RGB)   
    binary_data = ""
    for row in image:
        for pixel in row:
            r, g, b = to_bin(pixel)
            binary_data += r[-1]
            binary_data += g[-1]
            binary_data += b[-1]
    all_bytes = [ binary_data[i: i+8] for i in range(0, len(binary_data), 8) ]
    decoded_data = ""
    for byte in all_bytes:
        decoded_data += chr(int(byte, 2))
        if decoded_data[-5:] == "=====":
            break
    this = decoded_data[:-5].split("#####",1)[0]
    this = eval(this)
    enc_in=this
    return this

def encode(image_name, secret_data,txt=None):
    BGRimage = cv2.imread(image_name)
    image = cv2.cvtColor(BGRimage, cv2.COLOR_BGR2RGB)    
    n_bytes = image.shape[0] * image.shape[1] * 3 // 8
    print("[*] Maximum bytes to encode:", n_bytes)
    secret_data1=secret_data
    #secret_data1=f'{secret_data}#{resultp}'
    
    while True:
        if len(secret_data1)+5 < (n_bytes):
            secret_data1 = f'{secret_data1}#####'
        elif len(secret_data1)+5 >= (n_bytes):
            break    
    secret_data = secret_data1    
    if len(secret_data) > n_bytes:
        return image_name, gr.Markdown.update("""<center><h3>Input image is too large""")
    secret_data += "====="
    data_index = 0
    binary_secret_data = to_bin(secret_data)
    data_len = len(binary_secret_data)
    for row in image:
        for pixel in row:
            r, g, b = to_bin(pixel)
            if data_index < data_len:
                pixel[0] = int(r[:-1] + binary_secret_data[data_index], 2)
                data_index += 1
            if data_index < data_len:
                pixel[1] = int(g[:-1] + binary_secret_data[data_index], 2)
                data_index += 1
            if data_index < data_len:
                pixel[2] = int(b[:-1] + binary_secret_data[data_index], 2)
                data_index += 1
            if data_index >= data_len:
                break
    return image
def conv_im(im,data):
    uniqnum = uniq.uuid4()

    byte_size = len(data)
    print (f'bytes:{byte_size}')
    data_pixels = byte_size*4
    print (f'pixels:{data_pixels}')
    #data_sq=data_pixels/2
    data_sq = int(math.sqrt(data_pixels))
    data_pad = data_sq+100
    print (f'square image:{data_pad}x{data_pad}')
    
    qr_im = im
    img1 = Image.open(qr_im)
    imgw = img1.size[0] 
    imgh = img1.size[1]
    print (f'qr Size:{img1.size}')
    #img1.thumbnail((imgw*4,imgh*4), Image.Resampling.LANCZOS)
    img1 = img1.resize((int(data_pad),int(data_pad)), Image.Resampling.LANCZOS)
    print (img1.size)
    img1.save(f'tmpim{uniqnum}.png')
    
    with open(f'tmpim{uniqnum}.png', "rb") as image_file:
        encoded_string = base64.b64encode(image_file.read())
        image_file.close()
    im_out = encode(f'tmpim{uniqnum}.png',data)
    return im_out