wxauto框架入门指南：解锁微信自动化新姿势

pip install wxauto --upgrade

>>> import wxauto
>>> wxauto.VERSION
'3.9.11.17'  # 显示当前库版本

from wxauto import WeChat

wx = WeChat()
recipient = "文件传输助手"  # 可替换为好友或群名称

# 发送文本消息
wx.SendMsg("每日工作报告已生成，请查收附件", recipient)

# 发送图片
wx.SendImage(r"C:\Reports\daily_chart.png", recipient)

# 发送文件
wx.SendFiles([
    r"C:\Reports\sales_data.xlsx",
    r"C:\Reports\analysis.pdf"
], recipient)

from wxauto import WeChat
import time

def smart_reply():
    wx = WeChat()
    KEYWORDS = {
        "报价单": "请查收最新报价：https://example.com/quote",
        "联系方式": "客服电话：400-1234-5678"
    }

    while True:
        msgs = wx.GetAllMessage()
        for msg in msgs:
            if msg.type == 'friend':  # 仅处理好友消息
                content = msg.content.lower()
                for keyword, response in KEYWORDS.items():
                    if keyword in content:
                        wx.SendMsg(response, msg.sender)
        time.sleep(5)  # 每5秒检查一次新消息

if __name__ == "__main__":
    smart_reply()

from wxauto import WeChat
from collections import defaultdict

wx = WeChat()
group_name = "技术交流群"
history = wx.GetChatMessage(group_name, load_all=True)

keyword_counter = defaultdict(int)
TARGET_WORDS = ["Python", "AI", "大数据"]

for msg in history:
    content = msg['Content']
    for word in TARGET_WORDS:
        if word in content:
            keyword_counter[word] += 1

print("关键词出现频率：")
for k, v in keyword_counter.items():
    print(f"{k}: {v}次")

graph TD
    A[定时任务启动] --> B[抓取ERP系统数据]
    B --> C[生成Excel报表]
    C --> D[通过微信发送给指定人员]
    D --> E[邮件备份]

# 结合NLP实现智能问答
from transformers import pipeline

qa_pipeline = pipeline("question-answering")
wx = WeChat()

def answer_question(question):
    context = "我司产品支持7天无理由退货，发货后3-5个工作日送达..."
    return qa_pipeline(question=question, context=context)['answer']

while True:
    msgs = wx.GetListenMessage()
    for chat in msgs:
        if "售后问题" in chat.content:
            reply = answer_question(chat.content)
            chat.SendMsg(reply)