双12账号风险检测选购

import datetime

def check_login_risk(user_id, ip_address, login_time):
    # 假设我们有一些历史登录数据
    historical_logins = get_historical_logins(user_id)
    
    # 检查是否异地登录
    if not is_same_location(ip_address, historical_logins[-1]['ip']):
        return "异地登录风险"
    
    # 检查登录时间间隔
    time_diff = (login_time - historical_logins[-1]['time']).total_seconds()
    if time_diff < 60 and time_diff > 0:
        return "频繁登录风险"
    
    return "正常"

def is_same_location(current_ip, last_ip):
    # 简单示例，实际应用中可以使用更复杂的地理位置判断
    return current_ip == last_ip

def get_historical_logins(user_id):
    # 假设从数据库获取历史登录记录
    return [
        {'ip': '192.168.1.1', 'time': datetime.datetime.now() - datetime.timedelta(minutes=10)},
        # 其他历史记录...
    ]

# 示例调用
user_id = 123
ip_address = '192.168.1.2'
login_time = datetime.datetime.now()
result = check_login_risk(user_id, ip_address, login_time)
print(result)