Ramda 建议从稍微嵌套的数组中删除重复项 [英] Ramda recommendation for removing duplicates from a slightly nested array

问题描述

我们正在尝试利用 Ramda 来避免一些蛮力编程.我们有一个看起来像这样的对象数组:

<预><代码>[{id: "001", failedReason: [1000]},{id: "001", failedReason: [1001]},{id: "001", failedReason: [1002]},{id: "001", failedReason: [1000]},{id: "001", failedReason: [1000, 1003]},{id: "002", failedReason: [1000]}]

我们想把它改成这样:

<预><代码>[{id: "001", failedReason: [1000, 1001, 1002, 1003]},{id: "002", failedReason: [1000]}]

本质上，它根据 id 减少数组，并累积一个包含该 id 的所有failedReason"的子failedReason"数组.我们希望一些 Ramda 魔法可以做到这一点，但到目前为止我们还没有找到一个好的方法.任何想法，将不胜感激.

解决方案

我无法在手机上轻松测试，但应该可以:

管道(groupBy(prop('id')),地图(采摘('failedReason'))，地图(展平)，地图(唯一))

更新

我刚开始在计算机上查看此内容，并注意到输出并不是您想要的.再添加两个步骤就可以解决这个问题:

管道(groupBy(prop('id')),地图(采摘('failedReason'))，地图(展平)，地图(唯一)，对，地图(zipObj(['id'，'failedReason'])))

您可以在 Ramda REPL.

We're trying to utilise Ramda to avoid some brute-force programming. We have an array of objects that can look like this:

[
{id: "001", failedReason: [1000]},
{id: "001", failedReason: [1001]},
{id: "001", failedReason: [1002]},
{id: "001", failedReason: [1000]},
{id: "001", failedReason: [1000, 1003]},
{id: "002", failedReason: [1000]}
]

and we'd like to transform it so that it looks like this:

[
{id: "001", failedReason: [1000, 1001, 1002, 1003]},
{id: "002", failedReason: [1000]}
]

Essentially it reduces the array based on the id, and accumulates a sub-"failedReason" array containing all of the "failedReasons" for that id. We were hoping some Ramda magic might do this but so far we haven't found a nice means. Any ideas would be appreciated.

解决方案

I can't easily test it on my phone, but something like this should work:

pipe(
  groupBy(prop('id')), 
  map(pluck('failedReason')),
  map(flatten),
  map(uniq)
)

Update

I just got around to looking at this on a computer, and noted that the output wasn't quite what you were looking for. Adding two more steps would fix it:

pipe(
  groupBy(prop('id')), 
  map(pluck('failedReason')),
  map(flatten),
  map(uniq),
  toPairs,
  map(zipObj(['id', 'failedReason']))
)

You can see this in action on the Ramda REPL.

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