实现响应数据脱敏

def solve():
    from pyodide.http import open_url
    from io import StringIO
    users_csv = open_url("https://data.zuihe.com/dbd/ms-shop/state_00/users.csv").read()
    import pandas as pd, re
    from io import StringIO
    users = pd.read_csv(StringIO(users_csv))
    def mask_phone(phone):
        phone = str(phone)
        return phone[:3] + '****' + phone[-4:] if len(phone)==11 else phone
    def mask_email(email):
        parts = email.split('@')
        name = parts[0]
        masked = name[:2] + '***' if len(name)>2 else name[0]+'***'
        return masked + '@' + parts[1]
    users['phone_masked'] = users['phone'].apply(mask_phone)
    users['email_masked'] = users['email'].apply(mask_email)
    print(users[['username','phone_masked','email_masked']].to_string(index=False))