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问题描述

我正在尝试以功能方式(使用 Ramda)完成此操作.我的 JSON 结构是这样的

[{用户名:'bob',年龄:30,标签:['工作','无聊']},{用户名:'jim',年龄:25,标签:['home', 'fun']},{用户名:'jane',年龄:30,标签:['假期','有趣']}]

我正在尝试根据标签"属性中的值进行过滤,但没有成功.我能够过滤整数/字符串(年龄和用户名),但我无法弄清楚如何对嵌套数组(标签)中的值进行过滤.任何帮助将不胜感激.

解决方案

有很多方法可以做到这一点.但我认为最干净的应该是:

R.filter(R.where({tags: R.includes('fun')}))

您可以在 Ramda REPL.

其他选项,特别是如果字段嵌套更深的情况是compose(或pipe)proppath 使用 contains 调用或可能利用镜头.

不过,我认为上面的答案最易读.

I'm trying to accomplish this in a functional manner (with Ramda). My JSON is structured like this

[
    {username: 'bob', age: 30, tags: ['work', 'boring']},
    {username: 'jim', age: 25, tags: ['home', 'fun']},
    {username: 'jane', age: 30, tags: ['vacation', 'fun']}
]

and I am trying to filter based on a value in the 'tags' property, but have not been successful. I am able to filter on ints/strings (age and username), but I can't figure out how to do so with values in nested arrays (tags). Any help would be much appreciated.

解决方案

There are many ways you could do this. But I think the cleanest one would be:

R.filter(R.where({tags: R.includes('fun')}))

You can see it in action in the Ramda REPL.

Other options, especially if the field is more deeply nested is to compose (or pipe) prop or path calls with contains or possibly to take advantage of lenses.

Still, I think the answer above is most readable.

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09-21 14:05