javascript - 如何比较对象数组中每个对象组的时间属性-6ren

javascript - 如何比较对象数组中每个对象组的时间属性

转载作者：行者123 更新时间：2023-11-30 20:20:48

我确实有一个对象数组，每组对象都需要根据它们的时间属性进行过滤，并且在输出中它应该只返回时差小于 1 分钟的对象，并删除大于 1 分钟的对象时差(格式相同且分组)。

更新:每次连续交易之间的时间差应小于 1 分钟。

var grouped = [
[
    {"id":29,"sourceAccount":"my_account","targetAccount":"cinema","amount":-580,"category":"other","time":"2018-05-05T20:01:18.000Z"},
    {"id":18,"sourceAccount":"my_account","targetAccount":"cinema","amount":-580,"category":"other","time":"2018-04-05T20:01:18.000Z"}
],
[
    {"id":38,"sourceAccount":"my_account","targetAccount":"restaurant","amount":-970,"category":"eating_out","time":"2018-05-17T19:52:46.000Z"},
    {"id":22,"sourceAccount":"my_account","targetAccount":"restaurant","amount":-970,"category":"eating_out","time":"2018-04-17T19:52:46.000Z"}
],
[
    {"id":31,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-90,"category":"eating_out","time":"2018-05-07T09:55:10.000Z"},
    {"id":30,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-90,"category":"eating_out","time":"2018-05-07T09:54:21.000Z"},
    {"id":33,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-90,"category":"eating_out","time":"2018-05-07T09:57:05.000Z"},
    {"id":19,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-90,"category":"eating_out","time":"2018-04-07T09:54:21.000Z"},
    {"id":32,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-90,"category":"eating_out","time":"2018-05-07T09:56:09.000Z"},
    {"id":35,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-90,"category":"eating_out","time":"2018-05-07T09:58:06.000Z"}
],
[
    {"id":14,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-50,"category":"eating_out","time":"2018-04-01T10:24:40.000Z"},
    {"id":15,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-50,"category":"eating_out","time":"2018-04-01T10:25:10.000Z"},
    {"id":13,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-50,"category":"eating_out","time":"2018-04-01T10:24:00.000Z"},
    {"id":9,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-50,"category":"eating_out","time":"2018-03-04T07:14:20.000Z"},
    {"id":2,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-50,"category":"eating_out","time":"2018-03-01T12:34:00.000Z"},
    {"id":5,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-50,"category":"eating_out","time":"2018-03-02T09:25:20.000Z"}
],
[
    {"id":39,"sourceAccount":"my_account","targetAccount":"fitness_club","amount":-610,"category":"other","time":"2018-05-22T11:54:10.000Z"},
    {"id":24,"sourceAccount":"my_account","targetAccount":"fitness_club","amount":-610,"category":"other","time":"2018-04-22T11:54:10.000Z"}
],
[
    {"id":41,"sourceAccount":"my_account","targetAccount":"cinema","amount":-450,"category":"other","time":"2018-05-23T19:13:10.000Z"},
    {"id":26,"sourceAccount":"my_account","targetAccount":"cinema","amount":-450,"category":"other","time":"2018-04-23T19:13:10.000Z"}
],
[
    {"id":1,"sourceAccount":"company_x","targetAccount":"my_account","amount":10000,"category":"salary","time":"2018-02-25T08:00:00.000Z"},
    {"id":27,"sourceAccount":"company_x","targetAccount":"my_account","amount":10000,"category":"salary","time":"2018-04-25T08:00:00.000Z"},
    {"id":16,"sourceAccount":"company_x","targetAccount":"my_account","amount":10000,"category":"salary","time":"2018-03-25T08:10:00.000Z"}
],
[
    {"id":20,"sourceAccount":"my_account","targetAccount":"internet_shop","amount":-1650,"category":"other","time":"2018-04-08T21:36:41.000Z"},
    {"id":36,"sourceAccount":"my_account","targetAccount":"internet_shop","amount":-1650,"category":"other","time":"2018-05-08T21:36:41.000Z"}
],
[
    {"id":39,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-70,"category":"eating_out","time":"2018-05-15T09:12:20.000Z"},
    {"id":23,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-70,"category":"eating_out","time":"2018-04-15T09:12:20.000Z"}
],
[
    {"id":40,"sourceAccount":"my_account","targetAccount":"supermarket","amount":-850,"category":"groceries","time":"2018-05-20T18:51:31.000Z"},
    {"id":25,"sourceAccount":"my_account","targetAccount":"supermarket","amount":-850,"category":"groceries","time":"2018-04-20T18:51:31.000Z"}
],
[
    {"id":17,"sourceAccount":"my_account","targetAccount":"supermarket","amount":-1870,"category":"groceries","time":"2018-04-05T10:24:30.000Z"},
    {"id":28,"sourceAccount":"my_account","targetAccount":"supermarket","amount":-1870,"category":"groceries","time":"2018-05-05T10:24:30.000Z"}
],
[
    {"id":21,"sourceAccount":"my_account","targetAccount":"supermarket","amount":-1690,"category":"groceries","time":"2018-04-10T18:14:10.000Z"},
    {"id":37,"sourceAccount":"my_account","targetAccount":"supermarket","amount":-1690,"category":"groceries","time":"2018-05-10T18:14:10.000Z"}
  ]
]

这是我试过的，但是这个仍然有超过1分钟的那些项目(甚至其中一些有超过1个月的时差!)

var result = grouped.map((tr, i) => {
        return tr.filter((t, j) => {
          if (grouped[i][j - 1]) {
            var d1 = Date.parse(t.time);
            var d2 = Date.parse(grouped[i][j - 1].time);
            return (d1 - d2) <= 60000;
          }
          return true;
        });
      });

就在我运行上面的代码之前，我像这样按时间排序:

  grouped.sort(function (a, b) {
        return b.time > a.time
    });

更新:

基本上，给定对象组的预期输出应该是这样的:

var expectedOutput = [
[
    {"id":31,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-90,"category":"eating_out","time":"2018-05-07T09:55:10.000Z"},
    {"id":30,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-90,"category":"eating_out","time":"2018-05-07T09:54:21.000Z"},
    {"id":32,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-90,"category":"eating_out","time":"2018-05-07T09:56:09.000Z"}
],
[
    {"id":14,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-50,"category":"eating_out","time":"2018-04-01T10:24:40.000Z"},
    {"id":15,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-50,"category":"eating_out","time":"2018-04-01T10:25:10.000Z"},
    {"id":13,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-50,"category":"eating_out","time":"2018-04-01T10:24:00.000Z"}
]
]

真的不知道我哪里做错了，谁能帮我解决这个问题？谢谢

最佳答案

对于给定的数据结构，需要两次方法 reduce一个列表。首先是将帐户项目列表分组的外部列表结构。这些列表中的每一个首先应该按其帐户项目的时间戳(时间属性)排序。第二个减少步骤通过比较当前项目与其上一个和下一个兄弟之间的时间偏移来找到项目的有效范围，以防它们可用。只会收集(严格)有效范围内的项目。

var grouped = [[
 {"id":29,"sourceAccount":"my_account","targetAccount":"cinema","amount":-580,"category":"other","time":"2018-05-05T20:01:18.000Z"},
 {"id":18,"sourceAccount":"my_account","targetAccount":"cinema","amount":-580,"category":"other","time":"2018-04-05T20:01:18.000Z"}
], [
 {"id":38,"sourceAccount":"my_account","targetAccount":"restaurant","amount":-970,"category":"eating_out","time":"2018-05-17T19:52:46.000Z"},
 {"id":22,"sourceAccount":"my_account","targetAccount":"restaurant","amount":-970,"category":"eating_out","time":"2018-04-17T19:52:46.000Z"}
], [
 {"id":31,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-90,"category":"eating_out","time":"2018-05-07T09:55:10.000Z"},
 {"id":30,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-90,"category":"eating_out","time":"2018-05-07T09:54:21.000Z"},
 {"id":33,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-90,"category":"eating_out","time":"2018-05-07T09:57:05.000Z"},
 {"id":19,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-90,"category":"eating_out","time":"2018-04-07T09:54:21.000Z"},
 {"id":32,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-90,"category":"eating_out","time":"2018-05-07T09:56:09.000Z"},
 {"id":35,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-90,"category":"eating_out","time":"2018-05-07T09:58:06.000Z"}
], [
 {"id":14,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-50,"category":"eating_out","time":"2018-04-01T10:24:40.000Z"},
 {"id":15,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-50,"category":"eating_out","time":"2018-04-01T10:25:10.000Z"},
 {"id":13,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-50,"category":"eating_out","time":"2018-04-01T10:24:00.000Z"},
 {"id":9,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-50,"category":"eating_out","time":"2018-03-04T07:14:20.000Z"},
 {"id":2,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-50,"category":"eating_out","time":"2018-03-01T12:34:00.000Z"},
 {"id":5,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-50,"category":"eating_out","time":"2018-03-02T09:25:20.000Z"}
], [
 {"id":39,"sourceAccount":"my_account","targetAccount":"fitness_club","amount":-610,"category":"other","time":"2018-05-22T11:54:10.000Z"},
 {"id":24,"sourceAccount":"my_account","targetAccount":"fitness_club","amount":-610,"category":"other","time":"2018-04-22T11:54:10.000Z"}
], [
 {"id":41,"sourceAccount":"my_account","targetAccount":"cinema","amount":-450,"category":"other","time":"2018-05-23T19:13:10.000Z"},
 {"id":26,"sourceAccount":"my_account","targetAccount":"cinema","amount":-450,"category":"other","time":"2018-04-23T19:13:10.000Z"}
], [
 {"id":1,"sourceAccount":"company_x","targetAccount":"my_account","amount":10000,"category":"salary","time":"2018-02-25T08:00:00.000Z"},
 {"id":27,"sourceAccount":"company_x","targetAccount":"my_account","amount":10000,"category":"salary","time":"2018-04-25T08:00:00.000Z"},
 {"id":16,"sourceAccount":"company_x","targetAccount":"my_account","amount":10000,"category":"salary","time":"2018-03-25T08:10:00.000Z"}
], [
 {"id":20,"sourceAccount":"my_account","targetAccount":"internet_shop","amount":-1650,"category":"other","time":"2018-04-08T21:36:41.000Z"},
 {"id":36,"sourceAccount":"my_account","targetAccount":"internet_shop","amount":-1650,"category":"other","time":"2018-05-08T21:36:41.000Z"}
], [
 {"id":39,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-70,"category":"eating_out","time":"2018-05-15T09:12:20.000Z"},
 {"id":23,"sourceAccount":"my_account","targetAccount":"coffee_shop","amount":-70,"category":"eating_out","time":"2018-04-15T09:12:20.000Z"}
], [
 {"id":40,"sourceAccount":"my_account","targetAccount":"supermarket","amount":-850,"category":"groceries","time":"2018-05-20T18:51:31.000Z"},
 {"id":25,"sourceAccount":"my_account","targetAccount":"supermarket","amount":-850,"category":"groceries","time":"2018-04-20T18:51:31.000Z"}
], [
 {"id":17,"sourceAccount":"my_account","targetAccount":"supermarket","amount":-1870,"category":"groceries","time":"2018-04-05T10:24:30.000Z"},
 {"id":28,"sourceAccount":"my_account","targetAccount":"supermarket","amount":-1870,"category":"groceries","time":"2018-05-05T10:24:30.000Z"}
], [
 {"id":21,"sourceAccount":"my_account","targetAccount":"supermarket","amount":-1690,"category":"groceries","time":"2018-04-10T18:14:10.000Z"},
 {"id":37,"sourceAccount":"my_account","targetAccount":"supermarket","amount":-1690,"category":"groceries","time":"2018-05-10T18:14:10.000Z"}
]];

function orderByTimeProperty(a, b) {
  return ((a.time < b.time && -1) || (a.time > b.time && 1) || 0);
}

function collectListItemsWithLessThanOneMinuteDelta(collector, item, idx, list) {
  function isValidTimeDelta(a, b) {
    return (Math.abs((new Date(b)).getTime() - (new Date(a)).getTime()) < timeDelta);
  }
  var
    timeDelta = (1000 * 60),
    prevItem  = list[idx - 1],
    nextItem  = list[idx + 1];
  if (
    (prevItem && nextItem && isValidTimeDelta(prevItem.time, item.time) && isValidTimeDelta(item.time, nextItem.time))
    || (nextItem && isValidTimeDelta(item.time, nextItem.time))
    || (prevItem && isValidTimeDelta(prevItem.time, item.time))
  ) {
    collector.push(item);
  }
  return collector;
}

function collectGroupedListItemsWithLessThanOneMinuteDelta(collector, list) {
  list = list.sort(orderByTimeProperty).reduce(collectListItemsWithLessThanOneMinuteDelta, []);

  if (list.length >= 1) {
    collector.push(list);
  }
  return collector;
}

var list = grouped.reduce(collectGroupedListItemsWithLessThanOneMinuteDelta, []);

console.log('reduced list : ', list);

.as-console-wrapper { max-height: 100%!important; top: 0; }

关于javascript - 如何比较对象数组中每个对象组的时间属性，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/51474068/

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javascript - 如何比较对象数组中每个对象组的时间属性