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WeChat_auto_response 2 | 50行Python代码实现微信自动回复 3 | -------------------------------------------------------------------------------- /一有新消息就自动回复.py: -------------------------------------------------------------------------------- 1 | #根据预定的csv数据自动回复 2 | import numpy as np 3 | import pandas as pd 4 | from uiautomation import WindowControl 5 | import time 6 | wx = WindowControl(Name='微信', searchDepth=1) #searchDepth=1参数指定在查找窗口时只搜索直接子级窗口，以提高查找效率 7 | wx.ListControl() 8 | wx.SwitchToThisWindow()#ListControl()方法用于列出所有子级窗口，而SwitchToThisWindow()方法则将焦点切换到微信主窗口 9 | hw = wx.ListControl(Name='会话') 10 | df = pd.read_csv('回复数据.csv', encoding='utf-8') 11 | print(df) 12 | # 死循环接收消息 13 | while True: 14 | we = hw.TextControl(searchDepth=4) 15 | while not we.Exists(): 16 | pass 17 | if we.Name: 18 | we.Click(simulateMove=False) 19 | message_list = wx.ListControl(Name='消息').GetChildren()#获取消息列表中的所有子控件 20 | last_msg = message_list[-1].Name 21 | # 判断关键字 22 | msg = df.apply(lambda x: x['回复内容'] if x['关键词'] in last_msg else None, axis=1) 23 | print(f"匹配到的回复内容：{msg}") 24 | # 数据筛选，移除空数据 25 | msg.dropna(axis=0, how='any', inplace=True) 26 | # 做成列表 27 | ar = np.array(msg).tolist() 28 | # 能够匹配到数据时 29 | if ar: 30 | # 将数据输入并替换换行符号 31 | wx.SendKeys(ar[0].replace('{br}', '{Shift}{Enter}'), waitTime=0) 32 | # 发送消息，回车键 33 | wx.SendKeys('{Enter}', waitTime=0) 34 | else: 35 | wx.SendKeys('不知道你在说什么', waitTime=0) 36 | wx.SendKeys('{Enter}', waitTime=0) 37 | wx.SendKeys('{Enter}', waitTime=0) 38 | # 添加适当的延时等待 39 | #time.sleep(1) -------------------------------------------------------------------------------- /只对特定联系人自动回复.py: -------------------------------------------------------------------------------- 1 | #根据预定的csv数据自动回复 2 | import numpy as np 3 | import pandas as pd 4 | from uiautomation import WindowControl 5 | import time 6 | import requests 7 | # 绑定微信主窗口 8 | wx = WindowControl(Name='微信', searchDepth=1) #searchDepth=1参数指定在查找窗口时只搜索直接子级窗口，以提高查找效率 9 | # 切换窗口 10 | wx.ListControl() 11 | wx.SwitchToThisWindow()#ListControl()方法用于列出所有子级窗口，而SwitchToThisWindow()方法则将焦点切换到微信主窗口 12 | # 寻找会话控件绑定 13 | hw = wx.ListControl(Name='会话') 14 | # 通过pd读取数据 15 | df = pd.read_csv('回复数据.csv', encoding='utf-8') 16 | print(df) 17 | 18 | conversations = hw.GetChildren() # GetChildren()方法，获取会话列表中的所有子控件。 19 | jilu_num = 0 20 | for conversation in conversations: 21 | contact_name = conversation.Name 22 | if contact_name == '水果巨亨': #改成你想回复的联系人的名字 23 | conversation.Click(simulateMove=False) 24 | message_list = wx.ListControl(Name='消息').GetChildren() # 获取消息列表中的所有子控件 25 | jilu_num = len(message_list) 26 | print(f"原本有{jilu_num}条消息") 27 | # 死循环接收消息 28 | while True: 29 | for conversation in conversations: 30 | contact_name = conversation.Name 31 | if contact_name == '水果巨亨': 32 | #conversation.Click(simulateMove=False) 33 | message_list = wx.ListControl(Name='消息').GetChildren() # 获取消息列表中的所有子控件 34 | new_msg_num = len(message_list)-jilu_num 35 | if new_msg_num != 0: 36 | print(f"有{new_msg_num}条新消息：") 37 | for i in range(jilu_num, len(message_list)): 38 | print(f"正在回复第{i+1}条消息") 39 | #处理每一条消息 40 | every_msg = message_list[i].Name 41 | ########## 42 | # 判断关键字 43 | msg = df.apply(lambda x: x['回复内容'] if x['关键词'] in every_msg else None, axis=1) 44 | # 返回的结果是一个包含处理结果的Series对象，msg和列表差不多 45 | print(f"匹配到的回复内容：{msg}") 46 | msg.dropna(axis=0, how='any', inplace=True) # 这行代码移除回复内容中的空数据（NaN值） 47 | ar = np.array(msg).tolist() # 这行代码将筛选后的回复内容转换为列表 48 | # 能够匹配到数据时 49 | if ar: 50 | # 将数据输入 51 | # 替换换行符号 52 | wx.SendKeys(ar[0].replace('{br}', '{Shift}{Enter}'), waitTime=0) 53 | # 发送消息，回车键 54 | wx.SendKeys('{Enter}', waitTime=1) 55 | # 通过消息匹配检索会话栏的联系人 56 | print(f"回复内容是 {ar[0]}") 57 | #wx.TextControl(SubName=ar[0][:5]).RightClick() 58 | # break 59 | #########不能匹配到数据，用机器人回复 60 | else: 61 | wx.SendKeys('不知道你在说什么', waitTime=0) 62 | wx.SendKeys('{Enter}', waitTime=0) 63 | jilu_num = len(message_list) + 1 64 | print(f"现在一共有{jilu_num}条消息") 65 | else: 66 | print("没有新消息") -------------------------------------------------------------------------------- /回复数据.csv: -------------------------------------------------------------------------------- 1 | 序号,关键词,回复内容 2 | 1,你好,你好 3 | 2,吃饭没,吃了，你呢 4 | 3,在吗,在，怎么了 5 | 4,你多大了,不告诉你 6 | 5,没意思,哈哈 7 | 6,你是机器人吗,开什么玩笑 8 | 7,你在说什么,在逗你玩呢 9 | 8,今晚上号吗？,今晚有点困，就不打了 10 | 9,作业做了吗,还没呢 11 | 10,复习完了吗,怎么可能 12 | 11,拜拜,嗯，拜拜 13 | 12,老师点名了吗,就点了你 14 | 13,什么时候回去,一考完就回 --------------------------------------------------------------------------------