如何使用翻新拦截器为同时调用的api调用提供单独的重试机制

Question

我必须在翻新中开发具有指数补偿的重试机制，但是对于不同的API调用，我有不同的重试次数和基本延迟，如何在翻新中实现呢？同时可以有多个api调用如何处理。

当前一个调用执行重试时，重试计数将被第二个api调用替换。

from PIL import Image
import cv2
import sys
from hashlib import md5
import numpy as np

def hashIm(im):
    imP = np.array(Image.open(im))

    # Convert to BGR and drop alpha channel if it exists
    imP = imP[..., 2::-1]
    # Make the array contiguous again
    imP = np.array(imP)
    im = cv2.imread(im)

    diff = im.astype(int)-imP.astype(int)

    cv2.imshow('cv2', im)
    cv2.imshow('PIL', imP)
    cv2.imshow('diff', np.abs(diff).astype(np.uint8))
    cv2.imshow('diff_overflow', diff.astype(np.uint8))

    with open('dist.csv', 'w') as outfile:
        diff = im-imP
        for i in range(-256, 256):
            outfile.write('{},{}\n'.format(i, np.count_nonzero(diff==i)))

    cv2.waitKey(0)
    cv2.destroyAllWindows()

    return md5(im).hexdigest() + '   ' + md5(imP).hexdigest()

if __name__ == '__main__':
    print(hashIm('img.jpg'))