How to convert this JS object:
users = {
1: { id: 1, name: "..." },
2: { id: 2, name: "..." },
// 3 is missing
4: { id: 4, name: "..." },
...
}
into an array:
usersArray = [
1: { id: 1, name: "..." },
2: { id: 2, name: "..." },
// 3 is missing -- I do not want undefined here
4: { id: 4, name: "..." },
...
]
The key is that I do not want undefined, blank spaces, the key must be the object Id. The reason I do not want blanks/undefined entries is because I use vue.js and I am pretty sure it would not iterate over an array with undefined values in v-for.
Something like: https://forum.vuejs.org/t/vuex-best-practices-for-complex-objects/10143/2 but without the additional array storing just ids.
Is this possible?
You can use Object.values()
const users = {
1: { id: 1, name: "..." },
2: { id: 2, name: "..." },
4: { id: 4, name: "..." },
};
console.log(Object.values(users))
You could create a sparse array with missing indices by assigning the object to an array. As you see, forEach or map does not visit sparse items.
var users = { 1: { id: 1, name: "..." }, 2: { id: 2, name: "..." }, 4: { id: 4, name: "..." } },
array = Object.assign([], users);
array.forEach((o, i) => console.log(i, o));
.as-console-wrapper { max-height: 100% !important; top: 0; }
Related
I have an array of objects which presents tasks. These tasks are categorized (primary / secondary category).
let tasks = [
{
id: 1,
name: 'Cleanup desk',
primary_category: {
id: 1,
name: 'Indoor'
},
secondary_category: {
id: 2,
name: 'Surfaces'
}
},
{
id: 2,
name: 'Cleanup office floors',
primary_category: {
id: 1,
name: 'Indoor'
},
secondary_category: {
id: 3,
name: 'Ground'
}
},
{
id: 3,
name: 'Water plants',
primary_category: {
id: 2,
name: 'Outdoor'
},
secondary_category: {
id: 3,
name: 'Irrigation'
}
}
];
I now try to create a categories accordion in my frontend and therefore need to group my array differently. The structure should look like:
1) primary category
> secondary category
> tasks
> secondary category
> tasks
2) primary category
> secondary category
> tasks
Therefore I'm trying to achieve a structure similar to this:
let tasks_categorized = [
{
id: 1,
name: 'Indoor',
secondary_categories: [
{
id: 2,
name: 'Surfaces',
tasks: [
{
id: 1,
name: 'Cleanup desk'
}
]
},
{
id: 3,
name: 'Ground',
tasks: [
{
id: 2,
name: 'Cleanup office floors'
}
]
}
]
},
{
id: 2,
name: 'Outdoor',
secondary_categories: [
{
id: 3,
name: 'Irrigation',
tasks: [
{
id: 3,
name: 'Water plants'
}
]
}
]
}
];
I tried using groupBy by lodash but this does not allow grouping by multiple nested key-value pairs. Does anybody know an approach to solve this?
Thank you in advance!
The following provided approach is going to achieve the expected result within a single reduce cycle without any further nested loops.
It does so by implementing a reducer function which creates and/or aggregates at time a prioritized category task while iterating another task array. But most importantly it keeps track of a task item's related primary and secondary categories via a Map based lookup. This lookup reference together with a result array are properties of this function's return value which has to be partly provided as the reduce method's initial value as follows ... { result: [] }.
function createAndAggregatePrioritizedCategoryTask(
{ lookup = new Map, result }, item
) {
const { primary_category, secondary_category, ...taskRest } = item;
const { id: primaryId, name: primaryName } = primary_category;
const { id: secondaryId, name: secondaryName } = secondary_category;
const primaryKey = [primaryId, primaryName].join('###');
const secondaryKey = [primaryKey, secondaryId, secondaryName].join('###');
let primaryCategory = lookup.get(primaryKey);
if (!primaryCategory) {
// create new primary category item.
primaryCategory = {
id: primaryId,
name: primaryName,
secondary_categories: [],
};
// store newly created primary category reference in `lookup`.
lookup.set(primaryKey, primaryCategory);
// push newly created primary category reference to `result`.
result.push(primaryCategory);
}
let secondaryCategory = lookup.get(secondaryKey);
if (!secondaryCategory) {
// create new secondary category item.
secondaryCategory = {
id: secondaryId,
name: secondaryName,
tasks: [],
};
// store newly created secondary category reference in `lookup`.
lookup.set(secondaryKey, secondaryCategory);
// push newly created secondary category reference into the
// `secondary_categories` array of its related primary category.
primaryCategory
.secondary_categories
.push(secondaryCategory);
}
// push the currently processed task-item's rest-data as
// item into the related secondary category's `task` array.
secondaryCategory
.tasks
.push(taskRest);
return { lookup, result };
}
let tasks = [{
id: 1,
name: 'Cleanup desk',
primary_category: { id: 1, name: 'Indoor' },
secondary_category: { id: 2, name: 'Surfaces' },
}, {
id: 2,
name: 'Cleanup office floors',
primary_category: { id: 1, name: 'Indoor' },
secondary_category: { id: 3, name: 'Ground' },
}, {
id: 3,
name: 'Water plants',
primary_category: { id: 2, name: 'Outdoor' },
secondary_category: { id: 3, name: 'Irrigation' },
}];
const { result: tasks_categorized } = tasks
.reduce(createAndAggregatePrioritizedCategoryTask, { result: [] });
console.log({ tasks_categorized });
.as-console-wrapper { min-height: 100%!important; top: 0; }
You could take a dynamic approach with an array of arrays with functions and keys for the nested arrays.
const
tasks = [{ id: 1, name: 'Cleanup desk', primary_category: { id: 1, name: 'Indoor' }, secondary_category: { id: 2, name: 'Surfaces' } }, { id: 2, name: 'Cleanup office floors', primary_category: { id: 1, name: 'Indoor' }, secondary_category: { id: 3, name: 'Ground' } }, { id: 3, name: 'Water plants', primary_category: { id: 2, name: 'Outdoor' }, secondary_category: { id: 3, name: 'Irrigation' } }],
groups = [
[o => o, 'primary category'],
[o => o.primary_category, 'secondary category'],
[o => o.secondary_category, 'tasks']
],
result = tasks.reduce((r, o) => {
groups.reduce((parent, [fn, children]) => {
const { id, name } = fn(o);
let item = (parent[children] ??= []).find(q => q.id === id)
if (!item) parent[children].push(item = { id, name });
return item;
}, r);
return r;
}, {})[groups[0][1]];
console.log(result);
.as-console-wrapper { max-height: 100% !important; top: 0; }
I have nested array of objects that looks like this:
const nestedArray = [
[{ id: 1 }, { id: 2 }, { id: 3 }],
[{ id: 1 }, { id: 2 }],
[{ id: 4 }, { id: 5 }, { id: 6 }],
]
Since objects with id 1 and 2 are already together in nestedArray's first element I want to remove the second element and maintain other elements without petition as they are. The result should be like this:
const nestedArray = [
[{ id: 1 }, { id: 2 }, { id: 3 }],
[{ id: 4 }, { id: 5 }, { id: 6 }]
]
How do I write a filter function by id to get the expected result?
As I see in your example:
the id are unique in each subarray
duplicate sub-array elements only exist in the previous sub-array
if the first element of a sub-array exists in the previous sub-array then all the other elements must also be
const nestedArray =
[ [ { id: 1} , { id: 2} , { id: 3} ]
, [ { id: 1} , { id: 2} ]
, [ { id: 4} , { id: 5} , { id: 6} ]
]
function arrCleaning(arr)
{
for (let i=arr.length;i--;)
{
if (i>0 && arr[i-1].some(x=>x.id===arr[i][0].id) )
arr.splice(i,1)
}
}
arrCleaning( nestedArray )
// result
console.log( 'nestedArray = [' )
nestedArray.forEach(e=>console.log(' ',JSON.stringify(e).replaceAll('"',''),','))
console.log(' ]')
.as-console-wrapper { max-height: 100% !important; top: 0; }
.as-console-row::after { display:none !important; }
Try this:
const nestedArray = [
[{ id: 1 }, { id: 2 }, { id: 3 }],
[{ id: 1 }, { id: 2 }]
]
var newArr = nestedArray.flat(2).filter((x, index, self) => index === self.findIndex((t) => (t.id === x.id)));
console.log(newArr);
I have checked other solutions but none fit the criterion of my problem
This solution does not have the ability to dynamically check each node
Problem summarized
I wish to create an algorithm that is able to check an object that has nodes of different data types, for duplicated objects in nodes that are specifically of the datatype array.
I have the following dataset:
task = {
content: "lorem....",
customer: [
{ id: 1, name: "hello" },
{ id: 2, name: "sup" },
],
end: "2020-08-13 10:09:48",
project: [{ id: 1 }, { id: 1 }, { id: 2 }],
vendor: [{ id: 2 }, { id: 2 }, { id: 3 }],
};
I wish to be able to dynamically check which of the objects (or nodes? and the algo has to recognize that it is an array) has duplicates, and reduce them to be in this form:
task = {
content: "lorem....",
customer: [
{ id: 1, name: "hello" },
{ id: 2, name: "sup" },
],
end: "2020-08-13 10:09:48",
project: [{ id: 1 }, { id: 2 }],
vendor: [{ id: 2 }, { id: 3 }],
};
EDIT
The algorithm needs to be able to handle a dynamic number of nodes (example 1), however , the duplicates will only happen 1 level down (Thanks for pointing out).
example 1 (there is 1 less node here ) :
task = {
content: "lorem....",
customer: [
{ id: 1, name: "hello" },
{ id: 2, name: "sup" },
],
end: "2020-08-13 10:09:48",
project: [{ id: 1 }, { id: 2 }],
};
Here is my proposed solution to remove duplicate elements from any array in the task object:
const uniq = array => {
const map = {};
const result = [];
for (let i = 0; i < array.length; i++) {
// since elements can be objects, need to do a deep comparison.
const element = JSON.stringify(array[i]);
if (map[element] === undefined) {
map[element] = true;
result.push(array[i]);
}
}
return result;
}
const task = {
content: "lorem....",
customer: [
{ id: 1, name: "hello" },
{ id: 2, name: "sup" },
],
end: "2020-08-13 10:09:48",
project: [{ id: 1 }, { id: 1 }, { id: 2 }],
vendor: [{ id: 2 }, { id: 2 }, { id: 3 }],
};
for (const key in task) {
if (Array.isArray(task[key])) {
task[key] = uniq(task[key])
}
}
console.log('deduped:', task);
Given data like:
{
id: 1,
ownerName: 'bob',
devices: [
{
id: 2
},
{
id: 3
}
]
}
how would I convert it to the following object
{
result: 1,
entities: {
owners: {
1: {
id: 1,
ownerName: 'bob',
deviceIds: [2, 3]
}
},
devices: {
2: {
id: 2
},
3: {
id: 3
}
}
}
}
using normalizr? I can't figure out how to change devices to deviceIds in the returned result...
You can use the Process Strategy for this. It allows you to manipulate your data before it is processed. Simply return a copy of your object with the keys changed from the processStrategy() method.
const Device = schema.Entity('devices');
const Owner = schema.Entity(
'owners',
{
deviceIds: [ Device ]
},
{
processStrategy: value => ({
id: value.id,
ownerName: value.ownerName,
deviceIds: value.devices
})
}
);
Joining of Arrays.
I'm in need of running a "Join Array" objects, but, I need duplicated objects to be removed, see:
Example
var objArray1 = [
{ Id: 1, Name: 'João', Order: 2 },
{ Id: 2, Name: 'Pedro', Order: 5 }
];
var objArray2 = [
{ Id: 2, Name: 'Pedro', Order: 6 },
{ Id: 3, Name: 'Manoel', Order: 9 }
];
Actual code:
var result = _.union(objArray1,objArray2);
=> [
{ Id: 1, Name: 'João', Order: 2 },
{ Id: 2, Name: 'Pedro', Order: 5 },
{ Id: 2, Name: 'Pedro', Order: 6 },
{ Id: 3, Name: 'Manoel', Order: 9 }
];
I need this result:
[
{ Id: 1, Name: 'João', Order: 2 },
{ Id: 2, Name: 'Pedro', Order: 5 },
{ Id: 3, Name: 'Manoel', Order: 9 }
];
Basic I need join arrays with filter the one property, I need is possible with For but I would like a better solution
use underscore unique function as follows
var result = _.uniq(_.union(objArray1, objArray2), false, function(item){ return item.Id; });
not 100% sure if the false should be true
or, as seems to be a trend on SO - the sexy ES2015 version
var result = _.uniq(_.union(objArray1, objArray2), false, item => item.Id);