import cv2
import pytesseract
import os
import numpy
directory = 'images'

# iterate over files in
# that directory
pattern = 'review' # Replace with your target substring
matching_files = [f for f in os.listdir(directory) if pattern in f]

for files in os.listdir(directory):
    if files.__contains__(pattern):
        f = os.path.join(directory, files)
        print(f)
        image = cv2.imread(f, 0)
        thresh = 255 - cv2.threshold(image, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]
        #bottom 2 locations
        ROI1 = thresh[1383:1447,77:154] 
        ROI2 = thresh[1383:1447,950:1027]
        ROI = cv2.hconcat([ROI1, ROI2])
        cv2.imshow('Review', ROI)
        cv2.waitKey(1)
        manpage = input("please input the page number")
        if os.path.isfile(f'images/{manpage}.jpg') == True:
            rng = numpy.random.default_rng().random()
            os.rename (f'images/{manpage}.jpg', f'images/{manpage}.review-{rng}.jpg')
            os.rename(f'{f}', f'images/{manpage}.jpg')
        elif os.path.isfile(f'images/{manpage}.jpg') == False:
            os.rename(f'{f}', f'images/{manpage}.jpg')