如何根据VIP等级来做一个折扣的价格生成
data:image/png;base64,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如题,我想把这个订单折后价格根据客户的VIP等级的不同而享受的VIP折扣不同应该怎么制作。。
客户等级有5个级别,分别是V1、V2、V3、V4、V5
折扣分别为:1折,0.9折,0.8折,0.7折,0.6折。
我需要这个折扣最后的算法结果为:折扣价格=总金额X折扣金额(折扣金额需要获取当前用户的VIP等级享受当前等级的折扣)应该如何实现呢?
是把用户的等级和折扣都需要做一个接口还是怎么样,求教一下。。
你可以建立一个客户信息维护表单,字段包括客户名称、vip等级、折扣,其中vip等级和折扣是做接口的,可以直接在这个表单里做接口,可以省个表单,然后建立下面这个接口,添加参数。
这样你就可以用金额值变化套这个接口实现你要的功能了 涉及到的模板:《订单》《客户信息》《VIP设置》
《客户信息》中记录VIP等级,《VIP设置》中记录各个VIP等级享受的折扣优惠。
调用客户信息的数据接口添加数据源《VIP设置》,联结方式由“交集”改为“左关联” ,关联关系添加一条“客户.VIP等级 = VIP设置.VIP等级”。 接口做好了,在《订单》模板中随你使用。
页:
[1]