.NetCore~TagHelpers标签的使用
TagHelpers 能够让服务端代码参与创建和渲染 HTML 元素,让整个View视图看起来只有Html代码,也让前台开发人员开发的页面直接被后台开发人员使用,而不需要重复的书写代码,这种设计将会成为主流,语法类似于KO和AngularJs,直接在Html元素上添加对应的标签即可,下面介绍几种主要的TagHelpers标签.
注入TagHelpers组件
@addTagHelper *, Microsoft.AspNetCore.Mvc.TagHelpers // 注入
移除TagHelpers组件
@removeTagHelper *, Microsoft.AspNetCore.Mvc.TagHelpers // 移除
下面介绍几种常用的Tag标签
asp-for 类似于name
asp-validation-for 类似于mvc下的验证,将的验证来源于model的验证特性
asp-validation-summary 是否显示每个标签的校验信息
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" 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asp-controller 指定路由中的controller
asp-action 指定路由中的action
asp-route-id 为路由中的id参数赋值
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" 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environment 环境对象,可以在开发环境和生产环境引用不同的代码段
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alt="" />
本文主要介绍如何使用tagHelper标签,感谢咱们的阅读,.Net Core我们继续...
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