python 淘宝联盟_Python 淘宝联盟-佣金设置 批量设置佣金和服务费

import json

import os

import cv2

import time

import numpy as np

import win32gui, win32ui, win32con

from matplotlib import pyplot as plt

from ctypes import windll

from PIL import Image

from pymouse import PyMouse

from PIL import ImageGrab

import threading

import copy

import pyautogui

import win32api

import pyautogui

# 类 图片处理 ----------------------------------------------------------------------

class PicClass:

bigImg=None# 大图

# 图片识别返回坐标数组 参数：小图模板 相似度(阈值) 大图(可为空)

def getPointByImg(self, template, threshold, newBigImg=None):

arr=[]

img_rgb=None

if newBigImg is None:

img_rgb=copy.deepcopy(self.bigImg)

else:

img_rgb=copy.deepcopy(newBigImg)

img_gray=cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)# 灰度处理

h, w=template.shape[:2]

res=cv2.matchTemplate(img_gray, template, cv2.TM_CCOEFF_NORMED)

loc=np.where(res >= threshold)

for pt in zip(*loc[::-1]):

right_bottom=(pt[0] + w, pt[1] + h)

cv2.rectangle(img_rgb, pt, right_bottom, (0, 0, 255), 2)

center_point=(int(pt[0]+w/2), int(pt[1]+h/2))# 中心点

arr.append(center_point)

left2=(center_point[0]-2,center_point[1]-2)

right2=(center_point[0]+2,center_point[1]+2)

cv2.rectangle(img_rgb, left2, right2, (0, 255, 0), 2)

return arr

# 图片识别 参数：大图路径 小图路径

def getPointByPath(self, bigImgPath, smartImgPath):

newBigImg=cv2.imread(bigImgPath)

template=cv2.imread(smartImgPath, 0)

threshold=0.8

self.bigImg=newBigImg

return self.getPointByImg(template, threshold, newBigImg)

# 描点

def paintPoint(self, arr, saveResImgPath=None):

img_rgb=copy.deepcopy(self.bigImg)# 1. 读入原图和模板

img_gray=cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)

for center_point in arr:

w=4

left2=(center_point[0]-w,center_point[1]-w)

right2=(center_point[0]+w,center_point[1]+w)

cv2.rectangle(img_rgb, left2, right2, (0, 255, 0), 2)

if saveResImgPath!=None:

cv2.imwrite(saveResImgPath, img_rgb)# 保存处理后的图片

return img_rgb

# 截屏

def screenshots():

img1=ImageGrab.grab()

curTime=time.strftime('%Y-%m-%d %H%M%S',time.localtime(time.time()))

fileName=curTime+'.jpg'

img1.save(fileName)

return fileName

# 图片识别 点击文本框 输入数字

#time.sleep(2)

picObj=PicClass()

bigImgPath=screenshots()# 截屏

#bigImgPath='big.jpg'# 用于测试 模拟大图

arr=picObj.getPointByPath(bigImgPath, 'smart.jpg');# 图片匹配

picObj.paintPoint(arr, '2.jpg')# 绘点

print(arr)

def testClick():

for index, value in enumerate(arr):

print(value)

print(index)

x=value[0]

y=value[1]

pyautogui.click(x, y)# 模拟点击

time.sleep(0.1)

if index%2 == 0:

pyautogui.typewrite('22')# 第一列 佣金

else:

pyautogui.typewrite('3')# 第二列 服务费

testClick()

#win32api.mouse_event(win32con.MOUSEEVENTF_WHEEL,0,0,-500)# 滚动网页