apitest_unittest/common/encryption/do_base64_to_image.py

import base64
import pytesseract
from PIL import Image


def base64_to_img(bstr, file_path):
    imgdata = base64.b64decode(bstr)
    file = open(file_path, 'wb')
    file.write(imgdata)
    file.close()


def base64_to_str(bstr):
    return base64.b64encode(bstr.encode("utf-8")).decode('utf-8')


def base64_to_text(file_path):
    text = pytesseract.image_to_string(Image.open(file_path))
    return text


if __name__ == '__main__':
    data = "data:image/png;base64,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    # data = 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"
    # base64_to_img(data.split(",")[1], "../image/original_c.xlsx")
    # base64_to_img(data.split(",")[1], "../image/original.gif")
    base64_to_img(data.split(",")[1], "../../image/origina388l.png")
    # res = base64_to_str(data.split(",")[1])
    # result = run(data.split(",")[1], "../test_d/2.png")
    # print(base64_to_text("../test_d/3.png"))
    # print(res)