英文:
How to Invert nested array/objects structure and rekeying by lowest object?
问题
I am your Chinese translator, translating only the specified content without any additional information. Here is the translated content:
我有 lodash 4.17 可用
我有以下 API 响应结构：
{
"things": [
{
"id": 14500,
"name": "Q1 Out Ind",
"thing_type_id": 6,
"owner_id": 1680,
"owner": {
"id": 1680,
"model_id": 602
},
"thing_type": {
"id": 6,
"name": "The Type of Thing"
},
"related_things": [
{
"id": 9749,
"name": "unnamed thing",
"thing_id": 14500,
"more_things": [
{
"id": 16166,
"name": "Num Thing Sum",
"datasource_object_id": 9408,
"thing_id": 9749,
"external_datasource": {
"id": 9408,
"parent_id": 2810,
"target_id": 15028
}
}
]
}
]
},
{
"id": 14503,
"name": "Q2 Out Ind",
"thing_type_id": 6,
"owner_id": 1681,
"owner": {
"id": 1681,
"model_id": 602
},
"thing_type": {
"id": 6,
"name": "The Type of Thing"
},
"related_things": [
{
"id": 9750,
"name": "unnamed thing2",
"thing_id": 14503,
"more_things": [
{
"id": 16167,
"name": "Num Thing Avg",
"datasource_object_id": 9409,
"thing_id": 9750,
"external_datasource": {
"id": 9409,
"parent_id": 2810,
"target_id": 15029
}
},
{
"id": 16168,
"name": "Num Thing Count",
"datasource_object_id": 9408,
"thing_id": 9750,
"external_datasource": {
"id": 9408,
"parent_id": 2810,
"target_id": 15028
}
}
]
}
]
}
]
}
我试图获取与特定 `target_id` 匹配的对象列表，位于嵌套的最后。
到目前为止，以下方法仅在数组中只有一个结果时有效：
_.filter(things.things,
function (obj) {
return obj.related_things[0].more_things[0].external_datasource.target_id == 15028;
}
)
然而，如您在此示例中所见，在这种情况下有两个 "things"，在其末尾有一个匹配，因为 `more_things` 和 `related_things` 都是数组 - 我该如何调整我的 lodash 过滤器以跨任何深度进行搜索？我需要一个匹配对象的列表，以显示与匹配目标相关的 UI 中的各种属性。
英文:
I have lodash 4.17 available
I have the following API response structure:
{
"things": [
{
"id": 14500,
"name": "Q1 Out Ind",
"thing_type_id": 6,
"owner_id": 1680,
"owner": {
"id": 1680,
"model_id": 602
},
"thing_type": {
"id": 6,
"name": "The Type of Thing"
},
"related_things": [
{
"id": 9749,
"name": "unnamed thing",
"thing_id": 14500,
"more_things": [
{
"id": 16166,
"name": "Num Thing Sum",
"datasource_object_id": 9408,
"thing_id": 9749,
"external_datasource": {
"id": 9408,
"parent_id": 2810,
"target_id": 15028
}
}
]
}
]
},
{
"id": 14503,
"name": "Q2 Out Ind",
"thing_type_id": 6,
"owner_id": 1681,
"owner": {
"id": 1681,
"model_id": 602
},
"thing_type": {
"id": 6,
"name": "The Type of Thing"
},
"related_things": [
{
"id": 9750,
"name": "unnamed thing2",
"thing_id": 14503,
"more_things": [
{
"id": 16167,
"name": "Num Thing Avg",
"datasource_object_id": 9409,
"thing_id": 9750,
"external_datasource": {
"id": 9409,
"parent_id": 2810,
"target_id": 15029
}
},
{
"id": 16168,
"name": "Num Thing Count",
"datasource_object_id": 9408,
"thing_id": 9750,
"external_datasource": {
"id": 9408,
"parent_id": 2810,
"target_id": 15028
}
}
]
}
]
}
]
}
And I am trying to get a list of objects matching specific target_id at the very end of the nesting.
So far, the following works only if there is one result in the array:
_.filter(things.things,
function (obj) {
return obj.related_things[0].more_things[0].external_datasource.target_id == 15028;
}
)
However, as you see in this example, in this case it has two "things" at the end of which, there is a match as there is array for more_things and related_things - how do I adjust my lodash filter to search across any depth? I need a list of matching objects, to display various attributes in the UI related to the matched targets.
答案1
得分: 1
你可以在filter中嵌套_some函数。顺便说一下，使用原生数组的filter和some也是可能的。
const things = {
"things": [
{
"id": 14500,
"name": "Q1 Out Ind",
"thing_type_id": 6,
"owner_id": 1680,
"owner": {
"id": 1680,
"model_id": 602
},
"thing_type": {
"id": 6,
"name": "The Type of Thing"
},
"related_things": [
{
"id": 9749,
"name": "unnamed thing",
"thing_id": 14500,
"more_things": [
{
"id": 16166,
"name": "Num Thing Sum",
"datasource_object_id": 9408,
"thing_id": 9749,
"external_datasource": {
"id": 9408,
"parent_id": 2810,
"target_id": 15028
}
}
]
}
]
},
{
"id": 14503,
"name": "Q2 Out Ind",
"thing_type_id": 6,
"owner_id": 1681,
"owner": {
"id": 1681,
"model_id": 602
},
"thing_type": {
"id": 6,
"name": "The Type of Thing"
},
"related_things": [
{
"id": 9750,
"name": "unnamed thing2",
"thing_id": 14503,
"more_things": [
{
"id": 16167,
"name": "Num Thing Avg",
"datasource_object_id": 9409,
"thing_id": 9750,
"external_datasource": {
"id": 9409,
"parent_id": 2810,
"target_id": 15029
}
},
{
"id": 16168,
"name": "Num Thing Count",
"datasource_object_id": 9408,
"thing_id": 9750,
"external_datasource": {
"id": 9408,
"form_id": 2810,
"target_id": 15028
}
}
]
}
]
}
]
};
const id = 15028;
const res = things.things.filter(a => {
return a.related_things.some(b => {
return b.more_things.some(c => c.external_datasource.target_id === id);
});
});
console.log(res);
英文:
you can have nested _some functions inside the filter. By the way this is also possible with native array filter and some
<!-- begin snippet: js hide: false console: true babel: false -->
<!-- language: lang-js -->
const things = { "things": [ { "id": 14500, "name": "Q1 Out Ind", "thing_type_id": 6, "owner_id": 1680, "owner": { "id": 1680, "model_id": 602 }, "thing_type": { "id": 6, "name": "The Type of Thing" }, "related_things": [ { "id": 9749, "name": "unnamed thing", "thing_id": 14500, "more_things": [ { "id": 16166, "name": "Num Thing Sum", "datasource_object_id": 9408, "thing_id": 9749, "external_datasource": { "id": 9408, "parent_id": 2810, "target_id": 15028 } } ] } ] }, { "id": 14503, "name": "Q2 Out Ind", "thing_type_id": 6, "owner_id": 1681, "owner": { "id": 1681, "model_id": 602 }, "thing_type": { "id": 6, "name": "The Type of Thing" }, "related_things": [ { "id": 9750, "name": "unnamed thing2", "thing_id": 14503, "more_things": [ { "id": 16167, "name": "Num Thing Avg", "datasource_object_id": 9409, "thing_id": 9750, "external_datasource": { "id": 9409, "parent_id": 2810, "target_id": 15029 } }, { "id": 16168, "name": "Num Thing Count", "datasource_object_id": 9408, "thing_id": 9750, "external_datasource": { "id": 9408, "form_id": 2810, "target_id": 15028 } } ] } ] } ]}
const id = 15028
const res = _.filter(things.things, a => {
return _.some(a.related_things, b => {
return _.some(b.more_things, c => c.external_datasource.target_id === id)
})
})
console.log(res)
<!-- language: lang-html -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.21/lodash.min.js"></script>
<!-- end snippet -->
without lodash
<!-- begin snippet: js hide: false console: true babel: false -->
<!-- language: lang-js -->
const things = { "things": [ { "id": 14500, "name": "Q1 Out Ind", "thing_type_id": 6, "owner_id": 1680, "owner": { "id": 1680, "model_id": 602 }, "thing_type": { "id": 6, "name": "The Type of Thing" }, "related_things": [ { "id": 9749, "name": "unnamed thing", "thing_id": 14500, "more_things": [ { "id": 16166, "name": "Num Thing Sum", "datasource_object_id": 9408, "thing_id": 9749, "external_datasource": { "id": 9408, "parent_id": 2810, "target_id": 15028 } } ] } ] }, { "id": 14503, "name": "Q2 Out Ind", "thing_type_id": 6, "owner_id": 1681, "owner": { "id": 1681, "model_id": 602 }, "thing_type": { "id": 6, "name": "The Type of Thing" }, "related_things": [ { "id": 9750, "name": "unnamed thing2", "thing_id": 14503, "more_things": [ { "id": 16167, "name": "Num Thing Avg", "datasource_object_id": 9409, "thing_id": 9750, "external_datasource": { "id": 9409, "parent_id": 2810, "target_id": 15029 } }, { "id": 16168, "name": "Num Thing Count", "datasource_object_id": 9408, "thing_id": 9750, "external_datasource": { "id": 9408, "form_id": 2810, "target_id": 15028 } } ] } ] } ]}
const id = 15028
const res = things.things.filter(a => {
return a.related_things.some(b => {
return b.more_things.some(c => c.external_datasource.target_id === id)
})
})
console.log(res)
<!-- end snippet -->
答案2
得分: 0
你可以使用flatMap和some与filter。
英文:
You can use flatMap and some with filter
<!-- begin snippet: js hide: false console: true babel: false -->
<!-- language: lang-js -->
const things= {
"things": [
{
"id": 1450033333,
"name": "SHOULD NOT BE IN THE RESULTS",
"thing_type_id": 6,
"owner_id": 1680,
"owner": {
"id": 1680,
"model_id": 602
},
"thing_type": {
"id": 6,
"name": "The Type of Thing"
},
"related_things": [
{
"id": 9749,
"name": "unnamed thing",
"thing_id": 14500,
"more_things": [
{
"id": 16166,
"name": "Num Thing Sum",
"datasource_object_id": 9408,
"thing_id": 9749,
"external_datasource": {
"id": 9408,
"parent_id": 2810,
"target_id": 15024
}
}
]
}
]
},
{
"id": 14500,
"name": "Q1 Out Ind",
"thing_type_id": 6,
"owner_id": 1680,
"owner": {
"id": 1680,
"model_id": 602
},
"thing_type": {
"id": 6,
"name": "The Type of Thing"
},
"related_things": [
{
"id": 9749,
"name": "unnamed thing",
"thing_id": 14500,
"more_things": [
{
"id": 16166,
"name": "Num Thing Sum",
"datasource_object_id": 9408,
"thing_id": 9749,
"external_datasource": {
"id": 9408,
"parent_id": 2810,
"target_id": 15028
}
}
]
}
]
},
{
"id": 14503,
"name": "Q2 Out Ind",
"thing_type_id": 6,
"owner_id": 1681,
"owner": {
"id": 1681,
"model_id": 602
},
"thing_type": {
"id": 6,
"name": "The Type of Thing"
},
"related_things": [
{
"id": 9750,
"name": "unnamed thing2",
"thing_id": 14503,
"more_things": [
{
"id": 16167,
"name": "Num Thing Avg",
"datasource_object_id": 9409,
"thing_id": 9750,
"external_datasource": {
"id": 9409,
"parent_id": 2810,
"target_id": 15029
}
},
{
"id": 16168,
"name": "Num Thing Count",
"datasource_object_id": 9408,
"thing_id": 9750,
"external_datasource": {
"id": 9408,
"parent_id": 2810,
"target_id": 15028
}
}
]
}
]
}
]
}
const results = _.filter(things.things, thing => {
const relatedThings = _.flatMap(thing.related_things, 'more_things');
return _.some(relatedThings, moreThing => moreThing.external_datasource.target_id == 15028);
});
console.log(results)
<!-- language: lang-html -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.21/lodash.min.js"></script>
<!-- end snippet -->
通过集体智慧和协作来改善编程学习和解决问题的方式。致力于成为全球开发者共同参与的知识库，让每个人都能够通过互相帮助和分享经验来进步。
评论