因为要批量用某软件处理一批eps文件,所以要模拟鼠标及键盘动作,使其能够自动化操作。
#-*-coding:utf-8-*-
import os
import time
import win32gui
import win32api
import win32con
from PIL import ImageGrab
#os.startfile("D:\\artcut6\\Prog\\Artcut6.exe")
#time.sleep(1)
wdname1=u"文泰刻绘2009[] - [无标题-1]"
w1hd=win32gui.FindWindow(0,wdname1)
print w1hd
w2hd=win32gui.FindWindowEx(w1hd,None,None,None)
print w2hd
def aotohelper_wt(i):
#获取窗口焦点
win32gui.SetForegroundWindow(w2hd)
#快捷键Alt+F
win32api.keybd_event(18,0,0,0) # Alt
win32api.keybd_event(70,0,0,0) # F
win32api.keybd_event(70,0,win32con.KEYEVENTF_KEYUP,0) #释放按键
win32api.keybd_event(18,0,win32con.KEYEVENTF_KEYUP,0)
#快捷键I
win32api.keybd_event(73,0,0,0) # I
win32api.keybd_event(73,0,win32con.KEYEVENTF_KEYUP,0)
time.sleep(0.2)
wdname3=u"打开"
w3hd=win32gui.FindWindow(None,wdname3) #”打开“ 窗口句柄
#print w3hd
#win32gui.MoveWindow(w3hd, 50, 50, 300, 200, True)
if i msg="YC-00"+str(i)
elif 10 msg="YC-0"+str(i)
else:
msg="YC-"+str(i)
edithd=win32gui.FindWindowEx(w3hd,None,"Edit",None)
win32api.SendMessage(edithd,win32con.WM_SETTEXT,None,msg)
time.sleep(0.1)
#btnhd=win32gui.FindWindowEx(w3hd,None,"BUTTON",None)
#print btnhd
#模拟快捷键Alt+O
win32api.keybd_event(18,0,0,0) # Alt
win32api.keybd_event(79,0,0,0) # O
win32api.keybd_event(79,0,win32con.KEYEVENTF_KEYUP,0) #释放按键
win32api.keybd_event(18,0,win32con.KEYEVENTF_KEYUP,0)
time.sleep(0.1)
#模拟鼠标操作
win32api.SetCursorPos([30,150]) #为鼠标焦点设定一个位置
win32api.mouse_event(win32con.MOUSEEVENTF_LEFTDOWN,0,0,0,0)
win32api.SetCursorPos([500,500])
win32api.mouse_event(win32con.MOUSEEVENTF_LEFTUP,0,0,0,0)
time.sleep(0.1)
#模拟快捷键F7(极限观察)
win32api.keybd_event(118,0,0,0) # F7
win32api.keybd_event(118,0,win32con.KEYEVENTF_KEYUP,0) #释放按键
time.sleep(0.2)
#利用PIL截屏
path="C:\\Users\\LY\\Desktop\\pic\\"
filename="YC-"+str(i)+".jpg"
im=ImageGrab.grab()
im.save(path+filename)
#模拟快捷键F8(回到原页面大小)
win32api.keybd_event(119,0,0,0) # F8
win32api.keybd_event(119,0,win32con.KEYEVENTF_KEYUP,0) #释放按键
#模拟键盘事件delete
win32api.keybd_event(46,0,0,0) # Delete
win32api.keybd_event(46,0,win32con.KEYEVENTF_KEYUP,0) #释放按键
time.sleep(1)
for i in range(2,85):
aotohelper_wt(i)
print i
print "work done!"

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Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

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Python is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.


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