Develop Reference

How to filter and grouped by id nested data in javascript?

I have JSON data which has structure as follows:
const SubSpecs= [
{
"_id": "1",
"nom": "installation",
"blocks": [
{
"idBlock": "1",
"ArtisanOffres": [
{
"idArtisan": "1",
"price": 12
}
]
},
{
"idBlock": "2",
"ArtisanOffres": [
{
"idArtisan": "1",
"price": 14
}
]
}
]
},
{
"_id": "2",
"nom": "tech",
"blocks": [
{
"idBlock": "1",
"ArtisanOffres": [
{
"idArtisan": "1",
"price": 12
}
]
},
{
"idBlock": "2",
"ArtisanOffres": [
{
"idArtisan": "1",
"price": 14
},
{
"idArtisan": "2",
"price": 50
}
]
}
]
}
],
}
this is the array of artisans that i want to filtered by its id's:
artisans= [
{
"_id": "1",
"username": "test1"
},
{
"_id": "2",
"username": "test2"
}
]
now i want to extract all prices that have the same id of artisan ( extract by id) and grouped by this id !!
i just start a simple function but i didn't find the way to finish it !!
can anyone help please !!
I am not able to understand how to filter such data ? Below code doesn't work I am not able to find any example of such filtering.
this is my function:
const total = data
.map((fb) =>
fb.blocks
.map((b) =>
b.ArtisanOffres.map((ao)=> ao.price)
.join(",")
.includes("1")
)
.join(",")
)
.join(",")
.split(",");
i'm new in javascript and i face this algorithm problem,

Ciao, what do you think about this solution? I filtered your data by idArtisan === "1", then sum all the prices. Result is 52. Here working example:
const SubSpecs= [
{
"_id": "1",
"nom": "installation",
"blocks": [
{
"idBlock": "1",
"ArtisanOffres": [
{
"idArtisan": "1",
"price": 12
}
]
},
{
"idBlock": "2",
"ArtisanOffres": [
{
"idArtisan": "1",
"price": 14
}
]
}
]
},
{
"_id": "2",
"nom": "tech",
"blocks": [
{
"idBlock": "1",
"ArtisanOffres": [
{
"idArtisan": "1",
"price": 12
}
]
},
{
"idBlock": "2",
"ArtisanOffres": [
{
"idArtisan": "1",
"price": 14
},
{
"idArtisan": "2",
"price": 50
}
]
}
]
}
];
let result = SubSpecs.map(sub => {
return sub.blocks.map(block => {
return block.ArtisanOffres.filter(artisan => artisan.idArtisan === "1");
});
});
let array = result.flat(2);
let final_sum = {};
final_sum.idArtisan = "1";
final_sum.total = array.reduce(function(_this, val) {
return _this + val.price
}, 0);
console.log(final_sum);
Explanation: Used 2 maps (because SubSpecs and blocks are arrays) then a filter for idArtisan. result.flat(2) is because maps result creates a 3-level array. Finally a reducer to sum prices.

Search a Javascript Object for the position of a specific ID? [duplicate]

This question already has answers here:
Find by key deep in a nested array
(21 answers)
Closed 4 years ago.
I have a Javascript object with lots of different sections. How can I search through all of the sections to find the position of a specific ID? The ID's that I am searching for are not in a specific location, and can be located in any of the tree branches.
For example, I am searching for this ID:
xobmnbjxg0g_1527269346261
And I am trying to output the position of that ID, which would be this:
app['structure'][0]['if-children'][0]['id']
My Javascript Object:
var app = {
"structure": [
{
"id": "0",
"type":"IF",
"parameters": [
{
"id": "xobmnbjxg0g_1527269346260",
"type": "field",
"value": "CV_TEST_SPOT1X"
},
{
"id": "2",
"type": "operator",
"value": "="
},
{
"id": "3",
"type": "field",
"value": "North America"
}
],
"if-children": [
{
"id": "xobmnbjxg0g_1527269346261",
"type":"IF",
"parameters": [
{
"id": "1",
"type": "field",
"value": "CV_TEST_SPOT1"
},
{
"id": "2",
"type": "operator",
"value": "="
},
{
"id": "3",
"type": "field",
"value": "North America"
}
],
"if-children":[
],
"else-children":[
]
}
],
"else-children":[
{
"id": "xobmnbjxg0g_1527269346262",
"type":"IF",
"parameters": [
{
"id": "1",
"type": "field",
"value": "CV_TEST_SPOT1"
},
{
"id": "2",
"type": "operator",
"value": "="
},
{
"id": "3",
"type": "field",
"value": "North America"
}
],
"if-children":[
{
"id":"xobmnbjxg0g_152726934626X"
}
],
"else-children":[
{
"id":"xobmnbjxg0g_152726934626Y"
}
]
}
]
},
{
"id": "xobmnbjxg0g_1527269346263",
"type":"IF",
"parameters": [
[
{
"id": "1",
"type": "field",
"value": "CV_TEST_SPOT1"
}
]
],
"if-children": [
{
"id": "xobmnbjxg0g_1527269346264",
"type":"IF",
"parameters": [
[
{
"id": "1",
"type": "field",
"value": "CV_TEST_SPOT1"
}
]
],
"if-children":[
{
"id": "xobmnbjxg0g_1527269346265",
"type":"IF",
"parameters": [
{
"id": "1",
"type": "field",
"value": "CV_TEST_SPOT1"
}
],
"if-children":[
{
"id":"xobmnbjxg0g_1527269346266"
}
],
"else-children":[
{
"id":"xobmnbjxg0g_1527269346267"
}
]
}
],
"else-children":[
{
"id":"xobmnbjxg0g_1527269346268"
}
]
}
],
"else-children":[
{
"id":"xobmnbjxg0g_1527269346269"
}
]
}
]
};

Interesting puzzle/question.
pretty sure there are some edge cases im missing but this seems to pass some tests.
function is(obj, type){
return Object.prototype.toString.call(obj) === `[object ${type}]`;
}
function findPosition(obj, mykey, myval, res){
if(is(obj, "Object")){
if(mykey in obj && obj[mykey] === myval){
res.tree.push(mykey);
res.found = true;
} else {
for( let key in obj){
if(res.found) break;
res.tree.push(key);
findPosition(obj[key], mykey, myval, res);
}
if(!res.found) res.tree.pop();
}
} else if(is(obj, "Array")){
for(let i = 0; i < obj.length; i++){
if(res.found) break;
res.tree.push(i);
findPosition(obj[i], mykey, myval, res);
}
if(!res.found) res.tree.pop();
} else {
res.tree.pop();
}
return res;
}
Usage and output
findPosition([{one: { two: [{id: [{id:'my'}]}]}}], "id", "mys", {tree:[], found: false})
> tree: Array(0), found: false}
findPosition([{one: { two: [{id: [{id:'my'}]}]}}], "id", "my", {tree:[], found: false})
> {found: true, tree: [0, "one", "two", 0, "id", 0, "id"]}
For finding if current obj you are iterating over is an Array you can also use Array.isArray

Nested Should query(OR) inside a Must query(AND) in elastic Search

I have elastic Search data in following format:
{
"is_cricketer": 1,
"name": "Abraham",
"cities": [
{ "name": "stellenbosch" },
{ "name": "Nelspruit" },
{ "name": "East London" }
]
},
{
"is_cricketer": 1,
"name": "Abraham",
"cities": [
{ "name": "Rustenburg" },
{ "name": "Nelspruit" },
{ "name": "East London" }
]
},
{
"is_cricketer": 0,
"name": "deVilliers",
"cities": [
{ "name": "Cape town" },
{ "name": "Nelspruit" },
{ "name": "East London" }
]
}
I need to query elastic search to get all the profiles with is_cricketer = 1 and an OR query over the field for cities.name and name field. ie
( profile.is_cricketer == 1 && (profile.name == 'Abraham' || profile.cities[i].name == 'Nelspruit' ))
To get the profiles with OR query on the fields cities.name and name field for matching query string is as follows and it works a expected:
"should": [
{
"nested": {
"path": "cities",
"query": {
"multi_match": {
"query": "Nelspruit",
"fields": [
"cities.name"
]
}
}
}
},
{
"multi_match": {
"query": "Abraham",
"fields": [
"name"
]
}
}
]
And the Must query to get all the profiles with field is_cricketer = 1 is follows:
{
"must": {
"match": {
"is_cricketer": "1"
}
}
}
Above both queries working fine and i am trying to combine both query as follows:
{
"query": {
"bool": {
"must": {
"match": {
"is_cricketer": "1"
}
},
"should": [
{
"nested": {
"path": "cities",
"query": {
"multi_match": {
"query": "Nelspruit",
"fields": [
"cities.name"
]
}
}
}
},
{
"multi_match": {
"query": "Abraham",
"fields": [
"name"
]
}
}
]
}
}
}
which is not returning expected results, its returning all the profiles with is_cricketer = 1 without filtering for name and cities.name.
I also tried to include the should query inside must query as follows:
{
"query": {
"bool": {
"must": [{
"match": {
"is_cricketer": "1"
}
}, {
"should": [
{
"nested": {
"path": "cities",
"query": {
"multi_match": {
"query": "Nelspruit",
"fields": [
"cities.name"
]
}
}
}
},
{
"multi_match": {
"query": "Abraham",
"fields": [
"name"
]
}
}
]
}]
}
}
}
But i got following error for the above query:
"Error: [parsing_exception] [should] query malformed, no start_object
after query name, with { line=1 & col=64 }
at respond (/GitRepo/project/node_modules/elasticsearch/src/lib/transport.js:307:15)
at checkRespForFailure (/GitRepo/project/node_modules/elasticsearch/src/lib/transport.js:266:7)
at HttpConnector. (/GitRepo/project/node_modules/elasticsearch/src/lib/connectors/http.js:159:7)
at IncomingMessage.bound (/GitRepo/project/node_modules/elasticsearch/node_modules/lodash/dist/lodash.js:729:21)
at emitNone (events.js:111:20)
at IncomingMessage.emit (events.js:208:7)
at endReadableNT (_stream_readable.js:1056:12)
at _combinedTickCallback (internal/process/next_tick.js:138:11)
at process._tickCallback (internal/process/next_tick.js:180:9)"
How to combine both the queries to get desired result. Any help will be appreciated.

if you want a should query inside a must you can use it in the following way
{
"query": {
"bool": {
"must": [
{
"bool": {
"should": [
{
... your query here
}
]
}
}
]
}
}
}

This worked for me on ES 6.0.
Setup
PUT test1
{
"mappings": {
"type1": {
"properties": {
"cities": {
"type": "nested"
}
}
}
}
}
POST test1/type1
{
"is_cricketer": 1,
"name": "Abraham",
"cities": [
{ "name": "stellenbosch" },
{ "name": "Nelspruit" },
{ "name": "East London" }
]
}
POST test1/type1
{
"is_cricketer": 1,
"name": "Abraham",
"cities": [
{ "name": "Rustenburg" },
{ "name": "Nelspruit" },
{ "name": "East London" }
]
}
POST test1/type1
{
"is_cricketer": 0,
"name": "deVilliers",
"cities": [
{ "name": "Cape town" },
{ "name": "Nelspruit" },
{ "name": "East London" }
]
}
Query
GET test1/type1/_search
{
"query": {
"bool": {
"must": [
{
"term": {
"is_cricketer": {
"value": 1
}
}
}
],
"should": [
{
"term": {
"name.keyword": {
"value": "Abraham"
}
}
},
{
"nested": {
"path": "cities",
"query": {
"term": {
"cities.name.keyword": {
"value": "Nelspruit"
}
}
}
}
}
]
}
}
}
Results - 2 hits
"hits": {
"total": 2,
"max_score": 2.2685113,
"hits": [
{
"_index": "test1",
"_type": "type1",
"_id": "zgcesWIBVwCaLf8KSuDi",
"_score": 2.2685113,
"_source": {
"is_cricketer": 1,
"name": "Abraham",
"cities": [
{
"name": "stellenbosch"
},
{
"name": "Nelspruit"
},
{
"name": "East London"
}
]
}
},
{
"_index": "test1",
"_type": "type1",
"_id": "eAQesWIBbxh35CpKckEH",
"_score": 2.2685113,
"_source": {
"is_cricketer": 1,
"name": "Abraham",
"cities": [
{
"name": "Rustenburg"
},
{
"name": "Nelspruit"
},
{
"name": "East London"
}
]
}
}
]
}

Angularjs - Combining two json object

I have 2 orders in JSON.
[
{
"Type": "Example",
"booking_date": "2016-03-31T00:00:00.000Z",
"arriving_time": "2016-03-31T00:00:00.000Z",
"vendor": "b3d1d9c076a937929376e21b",
"buffer_time": "2016-03-31T00:00:00.000Z",
"order": [],
"items": []
}
]
[
{
"booking_date": "2016-03-31T00:00:00.000Z",
"order1": [
{
"max_item": "4",
"cost_per_package": "500",
"cost_per_item": "100",
"arrive_before_time": "2016-03-31T00:00:00.000Z"
}
]
}
]
I have to add order #1 details into order #2. How do I add it? it should add details as per booking date.

Order1
{
"order1": [
{
"Type": "Example",
"booking_date": "2016-03-31T00:00:00.000Z",
"arriving_time": "2016-03-31T00:00:00.000Z",
"vendor": "b3d1d9c076a937929376e21b",
"buffer_time": "2016-03-31T00:00:00.000Z",
"order": [],
"items": []
}
]
}
Order2
{
"order2": [
{
"booking_date": "2016-03-31T00:00:00.000Z",
"order1": [
{
"max_item": "4",
"cost_per_package": "500",
"cost_per_item": "100",
"arrive_before_time": "2016-03-31T00:00:00.000Z"
}
]
}
]
}
To copy contents of array order1 to order do something like this -
order1[0].order = angular.copy(order2[0].order1);

Jquery : transform nested json object to another json object

In javascript/jquery how do i achieve following
old_dataset = [
{
"dob": "xyz",
"name": {
"first": " abc",
"last": "lastname"
},
"start_date": {
"moth": "2",
"day": "5",
"year": 1
},
"children": [
{
"child": {
"id": "1",
"desc": "first child"
}
},
{
"child": {
"id": "2",
"desc": "second child"
}
}
]
},
{
"dob": "er",
"name": {
"first": " abc",
"last": "txt"
},
"start_date": {
"moth": "2",
"day": "5",
"year": 1
},
"children": [
{
"child": {
"id": "1",
"desc": "first child"
}
},
{
"child": {
"id": "2",
"desc": "second child"
}
}
]
}
]
Using jquery iterate over the above and change to following
new_dataset = [
{
"dob":"xyz",
"name": <first and last name values>
"start_date":<value of month day year>,
"children": [ {
child_id :1,
child_id : 2
},
]
},{
"dob":"er",
"name": <first and last name values>
"start_date":<value of month day year>,
"children": [ {
child_id :1,
child_id : 2
},
]
}]
If someone can give the code to transform the data it would help me to understand the iteration

You could do something like:
function transformDataset(oldDataset) {
var newDataset = [];
var newObj;
for (var i = 0; i < oldDataset.length; i++) {
newObj = transformObj(oldDataset[i]);
newDataset.push(newObj);
}
return newDataset;
}
function transformObj(obj) {
var children = obj.children;
obj.name = obj.name.first + ' ' + obj.name.last;
obj.start_date = obj.start_date.month + ' ' + obj.start_date.day + ' ' + obj.start_date.year;
obj.children = [];
for (var i = 0; i < children.length; i++) {
obj.children.push(children[i].child.id);
}
return obj;
}
var new_dataset = transformDataset(old_dataset);
Note that new_dataset will have an array of child id instead of an object with multiple child_id properties.
You also had a typo in old_dataset.start_date.month (was written moth)(or maybe that was intentional).

use map first to iterate the array data (old_dataset), replace element name & start_date with new value then return the array
const old_dataset = [
{
"dob": "xyz",
"name": {
"first": " abc",
"last": "lastname"
},
"start_date": {
"moth": "2",
"day": "5",
"year": 1
},
"children": [
{
"child": {
"id": "1",
"desc": "first child"
}
},
{
"child": {
"id": "2",
"desc": "second child"
}
}
]
},
{
"dob": "er",
"name": {
"first": " abc",
"last": "txt"
},
"start_date": {
"moth": "2",
"day": "5",
"year": 1
},
"children": [
{
"child": {
"id": "1",
"desc": "first child"
}
},
{
"child": {
"id": "2",
"desc": "second child"
}
}
]
}
]
let new_dataset = old_dataset.map((arr) => {
arr.name = `${arr.name.first} ${arr.name.last}`
arr.start_date = `${arr.start_date.moth} ${arr.start_date.day} ${arr.start_date.year}`
return arr
})
console.log(new_dataset)