Related
I am trying to get specific object from a whole object below is the example
by using localStorage.getItem('shop/elasticCache/shirt');
I get below data
{"description":"Tech Shirt","configurable_options":[{"attribute_id":80,"values":[{"value_index":"5176","label":"RUST"}],"label":"Color","attribute_code":"color"},{"attribute_id":125,"values":[{"value_index":"2898","label":"Small"},{"value_index":"2901","label":"Medium"},{"value_index":"2904","label":"Large"}],"label":"Size","attribute_code":"size"}],"tsk":1594790209,"size_options":[2898,2901,2904],"regular_price":28,"final_price":null,"price":28,"color_options":[5176],"special_from_date":null,"id":250659,"category":[{"category_id":2,"name":"Default Category","position":1},{"category_id":3,"name":"Clothing","position":14985},{"category_id":30,"name":"Bottoms","position":798},{"category_id":58,"name":"Leggings","position":1},{"category_id":1130,"name":"Char Test Category","position":30}],"sku":"S155551","product_links":[{"link_type":"related","linked_product_sku":null,"linked_product_type":null,"position":0,"sku":"P100031"},{"link_type":"related","linked_product_sku":null,"linked_product_type":null,"position":0,"sku":"P100031"}
I am trying to get
{"category_id":3,"name":"Clothing","position":14985},{"category_id":30,"name":"Bottoms","position":798},{"category_id":58,"name":"Leggings","position":1},{"category_id":1130,"name":"Char Test Category","position":30}]
Is their any way it can be done ?
const {category} = JSON.parse(localStorage.getItem('shop/elasticCache/shirt');)
or
const {category } = {
"description": "Tech Shirt",
"configurable_options": [{
"attribute_id": 80,
"values": [{
"value_index": "5176",
"label": "RUST"
}],
"label": "Color",
"attribute_code": "color"
}, {
"attribute_id": 125,
"values": [{
"value_index": "2898",
"label": "Small"
}, {
"value_index": "2901",
"label": "Medium"
}, {
"value_index": "2904",
"label": "Large"
}],
"label": "Size",
"attribute_code": "size"
}],
"tsk": 1594790209,
"size_options": [2898, 2901, 2904],
"regular_price": 28,
"final_price": null,
"price": 28,
"color_options": [5176],
"special_from_date": null,
"id": 250659,
"category": [{
"category_id": 2,
"name": "Default Category",
"position": 1
}, {
"category_id": 3,
"name": "Clothing",
"position": 14985
}, {
"category_id": 30,
"name": "Bottoms",
"position": 798
}, {
"category_id": 58,
"name": "Leggings",
"position": 1
}, {
"category_id": 1130,
"name": "Char Test Category",
"position": 30
}],
"sku": "S155551",
"product_links": [{
"link_type": "related",
"linked_product_sku": null,
"linked_product_type": null,
"position": 0,
"sku": "P100031"
}, {
"link_type": "related",
"linked_product_sku": null,
"linked_product_type": null,
"position": 0,
"sku": "P100031"
}]
}
objc={"description":"Tech Shirt","configurable_options":
[{"attribute_id":80,"values":[{"value_index":"5176","label":"RUST"}],
"label":"Color","attribute_code":"color"},
{"attribute_id":125,"values":[{"value_index":"2898","label":"Small"}
,{"value_index":"2901","label":"Medium"},
{"value_index":"2904","label":"Large"}],
"label":"Size","attribute_code":"size"}],
"tsk":1594790209,"size_options":[2898,2901,2904]
,"regular_price":28,"final_price":null,"price":28,
"color_options":[5176],"special_from_date":null,"id":250659,
"category":[{"category_id":2,"name":"Default Category","position":1},
{"category_id":3,"name":"Clothing","position":14985},
{"category_id":30,"name":"Bottoms","position":798},
{"category_id":58,"name":"Leggings","position":1},
{"category_id":1130,"name":"Char Test Category","position":30}],
"sku":"S155551","product_links":
[{"link_type":"related","linked_product_sku":null,"linked_product_type":null,"position":0,"sku":"P100031"},
{"link_type":"related","linked_product_sku":null,"linked_product_type":null,"position":0,"sku":"P100031"}]
}
res = objc["category"]
res.shift()
console.log(res)
$(document).ready(function () {
var jsonObj = {
"description": "Tech Shirt",
"configurable_options": [{
"attribute_id": 80,
"values": [{
"value_index": "5176",
"label": "RUST"
}],
"label": "Color",
"attribute_code": "color"
}, {
"attribute_id": 125,
"values": [{
"value_index": "2898",
"label": "Small"
}, {
"value_index": "2901",
"label": "Medium"
}, {
"value_index": "2904",
"label": "Large"
}],
"label": "Size",
"attribute_code": "size"
}],
"tsk": 1594790209,
"size_options": [2898, 2901, 2904],
"regular_price": 28,
"final_price": null,
"price": 28,
"color_options": [5176],
"special_from_date": null,
"id": 250659,
"category": [{
"category_id": 2,
"name": "Default Category",
"position": 1
}, {
"category_id": 3,
"name": "Clothing",
"position": 14985
}, {
"category_id": 30,
"name": "Bottoms",
"position": 798
}, {
"category_id": 58,
"name": "Leggings",
"position": 1
}, {
"category_id": 1130,
"name": "Char Test Category",
"position": 30
}],
"sku": "S155551",
"product_links": [{
"link_type": "related",
"linked_product_sku": null,
"linked_product_type": null,
"position": 0,
"sku": "P100031"
}, {
"link_type": "related",
"linked_product_sku": null,
"linked_product_type": null,
"position": 0,
"sku": "P100031"
}]
};
for(var i = 1; i < jsonObj.category.length; i++){
console.log(jsonObj.category[i]);
}
});
You can iterate through the entire object and can get the required values. The above code gives the values of category from index 1.
I'm filtering a list using a const queryModifier = {price: "lessThan", weight: "greaterThan"}
const queryKeys = keys: {
price: '1000',
weight: '1000'
}
const list = [
{
"clientOrderNumber": "N / A",
"companyName": "Test Company",
"createdAt": "2019-11-05 10:48:18",
"createdBy": "test#test.com",
"deliveryDate": "2019-11-08 10:46:37",
"driver": "",
"dropOff": "Kögel Trailer GmbH & Co. KG, Am Kögel-Werk, Burtenbach, Germany",
"height": 0,
"isPreparingTrailer": false,
"isSmsSent": false,
"isTrailerReady": false,
"key": "7e249529-d089-47bb-b0ad-470f850dd8cf",
"notes": "",
"orderId": "",
"pickUp": "Altenberge, Germany",
"price": 500,
"quantity": 1,
"trailer": "einzeln",
"vehicle": "Sattel",
"vehicleClass": "engl. Anschlüsse",
"vehicleId": "505123",
"vehicleReadyDate": "2019-11-05 10:47:57",
"weight": 0
},
{
"additionalPrices": 0,
"clientOrderNumber": "N / A",
"companyName": "Test Company",
"createdAt": "2019-10-14 16:32:12",
"createdBy": "test#test.com",
"deliveryDate": "2019-10-19 16:26:35",
"driver": "",
"dropOff": "Marville-Moutiers-Brûlé, France",
"height": 600,
"isPreparingTrailer": false,
"isSmsSent": false,
"isTrailerReady": false,
"key": "9b7f57fd-f95e-4038-b120-a0301fdf3f31",
"notes": "",
"orderId": "",
"pickUp": "Altenberge, Germany",
"price": 0,
"quantity": 1,
"trailer": "2er Pack",
"vehicle": "Anhänger",
"vehicleClass": "50",
"vehicleId": "123",
"vehicleReadyDate": "2019-10-16 16:31:26",
"weight": 12000
},
{
"clientOrderNumber": "N / A",
"companyName": "Test Company",
"createdAt": "2019-10-14 16:25:54",
"createdBy": "test#test.com",
"deliveryDate": "2019-10-19 16:24:13",
"driver": "",
"dropOff": "Vendenheim, France",
"height": 0,
"isPreparingTrailer": false,
"isSmsSent": false,
"isTrailerReady": false,
"key": "7e4f233f-695b-40eb-a0ca-fd78f3fa43cd",
"notes": "",
"orderId": "",
"pickUp": "Altenberge, Germany",
"price": 793,
"quantity": 1,
"trailer": "einzeln",
"vehicle": "Sattel",
"vehicleClass": "Standard",
"vehicleId": "3340731",
"vehicleReadyDate": "2019-10-15 16:24:58",
"weight": 0
},
{
"clientOrderNumber": "N / A",
"companyName": "Test Company",
"createdAt": "2019-09-26 18:32:18",
"createdBy": "test#test.com",
"deliveryDate": "2019-09-20 18:31:45",
"driver": "Michal Kucharski",
"dropOff": "Logroño, Spain",
"height": 0,
"isPreparingTrailer": false,
"isSmsSent": false,
"isTrailerReady": false,
"key": "388113f5-3927-4fe3-80d5-f2fcf1c7cedd",
"notes": "",
"orderId": "",
"pickUp": "16671 Butano Place, Fontana, CA, USA",
"price": 0,
"quantity": 1,
"trailer": "2er Pack",
"vehicle": "Sattel",
"vehicleClass": "Standard",
"vehicleId": "efgefg",
"vehicleReadyDate": "2019-09-27 18:32:08",
"weight": 0
},
{
"additionalPrices": 0,
"clientOrderNumber": "N / A",
"companyName": "Test Company",
"createdAt": "2019-09-06 22:57:55",
"createdBy": "test#test.com",
"deliveryDate": "2019-09-07 22:57:03",
"driver": "Eugeniusz Galinski",
"dropOff": "12345 Lamplight Village Avenue, Austin, TX, USA",
"height": 32,
"isPreparingTrailer": false,
"isSmsSent": false,
"isTrailerReady": false,
"key": "ac3cf14e-b43b-45e4-9168-ad4997b6415d",
"notes": "Nzube I am adding notes here",
"pickUp": "16671 Butano Place, Fontana, CA, USA",
"price": 100,
"quantity": 3,
"trailer": "einzeln",
"vehicle": "Sattel",
"vehicleClass": "Mega",
"vehicleId": "123",
"vehicleReadyDate": "2019-09-26 22:57:36",
"weight": 12
},
{
"additionalPrices": 0,
"clientOrderNumber": "N / A",
"companyName": "Test Company",
"createdAt": "2019-09-06 22:46:25",
"createdBy": "test#test.com",
"deliveryDate": "2019-09-06 22:45:45",
"driver": "Michal Kucharski",
"dropOff": "QEW, Niagara Falls, ON, Canada",
"height": 67,
"isPreparingTrailer": false,
"isSmsSent": false,
"isTrailerReady": false,
"key": "d0ec3b82-2279-4d11-8e35-a9307713ae5a",
"notes": "This is coming along",
"pickUp": "Avenida Callao 1234, Buenos Aires, Argentina",
"price": 100,
"quantity": 1,
"trailer": "2er Pack",
"vehicle": "Sattel",
"vehicleClass": "Mega",
"vehicleId": "123",
"vehicleReadyDate": "2019-09-25 22:45:57",
"weight": 12
},
{
"additionalPrices": 0,
"clientOrderNumber": "N / A",
"companyName": "Test Company",
"createdAt": "2019-09-04 18:06:18",
"createdBy": "test#test.com",
"deliveryDate": "2019-09-05 18:05:51",
"driver": "Chibuzo ilogu",
"dropOff": "Asda Park Royal Superstore, Western Road, London, UK",
"height": 453,
"isPreparingTrailer": true,
"isSmsSent": true,
"isTrailerReady": true,
"key": "96ee9410-4d70-4bbc-8016-5d7c9e5ecec1",
"notes": "ewriupoi ",
"pickUp": "Avenida Juan Bautista Alberdi 1233, Buenos Aires, Argentina",
"price": 234,
"quantity": 1,
"trailer": "3er Pack",
"vehicle": "Anhänger",
"vehicleClass": "50",
"vehicleId": "543",
"vehicleReadyDate": "2019-09-21 18:06:03",
"weight": 453
},
{
"additionalPrices": 0,
"companyName": "Test Company",
"completeDate": "2019-09-04 18:02:27",
"createdAt": "2019-09-04 18:01:30",
"createdBy": "test#test.com",
"deliveryDate": "2019-09-04 18:01:09",
"driver": "Chibuzo ilogu",
"dropOff": "La Cabaña 123, Las Condes, Chile",
"height": 123,
"isPreparingTrailer": false,
"isSmsSent": true,
"isTrailerReady": true,
"key": "bcd50f43-0644-49a7-8bdc-009a4572341b",
"notes": "qewqe",
"pickUp": "La Cabaña 123, Las Condes, Chile",
"price": 123,
"trailer": "einzeln",
"vehicle": "Sattel",
"vehicleClass": "Standard",
"vehicleId": "123",
"vehicleReadyDate": "2019-10-02 18:01:19",
"weight": 123
}
];
export const handleFilterModifier = (value, compareValue, modifier) => {
if (modifier === 'lessThan') {
return value > compareValue;
}
if (modifier === 'equals') {
return value === compareValue;
}
if (modifier === 'greaterThan') {
return value < compareValue;
}
return null;
};
const resultList = list.filter(
item => Object.entries(queryModifiers).every(([filterKey, filterVal]) => {
const compareValue = item[filterKey];
const value = Object.values(queryKeys);
const result = handleFilterModifier(
parseFloat(value),
compareValue,
filterVal
);
return result;
})
);
This operation fails when either of the queryModifiers has "equals" in its value pair. Anything else returns the actual true result. I don't understand why it fails on "equals".
I feel like there should be a forEach somewhere but I don't know where to put it and maybe there's something wrong with the code. I need help figuring it out.
I think you should replace this
const queryKeys = keys: {
price: '1000',
weight: '1000'
}
with
const queryKeys = {
price: '1000',
weight: '1000'
}
and replace this
const value = Object.values(queryKeys);
with
const value = queryKeys[filterKey];
I have such documents
[
{
"id": "1",
"name": "My Product 1",
"variants": [
{
"id": 2179,
"code": "A",
"attributes": {
"att_set_1": {
"en": {
"name": "Attribute Set 1",
"data": [
{
"id": 919,
"title": "Height",
"label": "height_mm",
"v": 1200,
"unit": "mm"
},
{
"id": 921,
"title": "Weight",
"label": "weight",
"v": 500,
"unit": "kg"
},
{
"id": 923,
"title": "Other",
"label": "blah",
"v": 200,
"unit": "mm"
}
]
}
}
}
}
]
},
{
"id": "2",
"name": "My Product 2",
"variants": [
{
"id": 2180,
"code": "B",
"attributes": {
"att_set_1": {
"en": {
"name": "Attribute Set 1",
"data": [
{
"id": 919,
"title": "Height",
"label": "height_mm",
"v": 1300,
"unit": "mm"
},
{
"id": 921,
"title": "Weight",
"label": "weight",
"v": 200,
"unit": "kg"
},
{
"id": 923,
"title": "Other",
"label": "blah",
"v": 200,
"unit": "mm"
}
]
}
}
}
}
]
},
{
"id": "3",
"name": "My Product 3",
"variants": [
{
"id": 2181,
"code": "C",
"attributes": {
"att_set_1": {
"en": {
"name": "Attribute Set 1",
"data": [
{
"id": 919,
"title": "Height",
"label": "height_mm",
"v": 2000,
"unit": "mm"
},
{
"id": 921,
"title": "Weight",
"label": "weight",
"v": 999,
"unit": "kg"
},
{
"id": 923,
"title": "Other",
"label": "blah",
"v": 200,
"unit": "mm"
}
]
}
}
}
}
]
}
]
I want now to find all products where one of the variants has the Height >= 1200 and Weight >= 500
In this example this should be My Product 1 and My Product 3. My Product 2 doesn't match as the Weight Property is below the criteria.
How can I do this. Is there a way. The data structure can be changed but only if really needed.
I follow your document and created 3 sample documents as below in my cosmos db :
[
{
"id": "1",
"name": "My Product 1",
"variants": [
{
"id": 2179,
"code": "A",
"attributes": {
"att_set_1": {
"en": {
"name": "Attribute Set 1",
"data": [
{
"id": 919,
"title": "Height",
"label": "height_mm",
"v": 2330,
"unit": "mm"
},
{
"id": 921,
"title": "Weight",
"label": "weight",
"v": 2931,
"unit": "kg"
},
{
"id": 923,
"title": "Other",
"label": "blah",
"v": 200,
"unit": "mm"
}
]
}
}
}
}
]
},
{
"id": "2",
"name": "My Product 2",
"variants": [
{
"id": 2180,
"code": "B",
"attributes": {
"att_set_1": {
"en": {
"name": "Attribute Set 1",
"data": [
{
"id": 919,
"title": "Height",
"label": "height_mm",
"v": 100,
"unit": "mm"
},
{
"id": 921,
"title": "Weight",
"label": "weight",
"v": 200,
"unit": "kg"
},
{
"id": 923,
"title": "Other",
"label": "blah",
"v": 200,
"unit": "mm"
}
]
}
}
}
}
]
},
{
"id": "3",
"name": "My Product 3",
"variants": [
{
"id": 2181,
"code": "C",
"attributes": {
"att_set_1": {
"en": {
"name": "Attribute Set 1",
"data": [
{
"id": 919,
"title": "Height",
"label": "height_mm",
"v": 2000,
"unit": "mm"
},
{
"id": 921,
"title": "Weight",
"label": "weight",
"v": 999,
"unit": "kg"
},
{
"id": 923,
"title": "Other",
"label": "blah",
"v": 200,
"unit": "mm"
}
]
}
}
}
}
]
}
]
Then I use the SQL :
SELECT all FROM all join a in all.variants join b in
a.attributes.att_set_1.en.data where (b.title = 'Height' and b.v >=
2000) or (b.title = 'Weight' and b.v >= 1000)
Result data:
[
{
"all": {
"id": "1",
"name": "My Product 1",
"variants": [
{
"id": 2179,
"code": "A",
"attributes": {
"att_set_1": {
"en": {
"name": "Attribute Set 1",
"data": [
{
"id": 919,
"title": "Height",
"label": "height_mm",
"v": 2330,
"unit": "mm"
},
{
"id": 921,
"title": "Weight",
"label": "weight",
"v": 2931,
"unit": "kg"
},
{
"id": 923,
"title": "Other",
"label": "blah",
"v": 200,
"unit": "mm"
}
]
}
}
}
}
]
}
},
{
"all": {
"id": "1",
"name": "My Product 1",
"variants": [
{
"id": 2179,
"code": "A",
"attributes": {
"att_set_1": {
"en": {
"name": "Attribute Set 1",
"data": [
{
"id": 919,
"title": "Height",
"label": "height_mm",
"v": 2330,
"unit": "mm"
},
{
"id": 921,
"title": "Weight",
"label": "weight",
"v": 2931,
"unit": "kg"
},
{
"id": 923,
"title": "Other",
"label": "blah",
"v": 200,
"unit": "mm"
}
]
}
}
}
}
]
},
{
"all": {
"id": "3",
"name": "My Product 3",
"variants": [
{
"id": 2181,
"code": "C",
"attributes": {
"att_set_1": {
"en": {
"name": "Attribute Set 1",
"data": [
{
"id": 919,
"title": "Height",
"label": "height_mm",
"v": 2000,
"unit": "mm"
},
{
"id": 921,
"title": "Weight",
"label": "weight",
"v": 999,
"unit": "kg"
},
{
"id": 923,
"title": "Other",
"label": "blah",
"v": 200,
"unit": "mm"
}
]
}
}
}
}
]
}
}
]
Please notice that the value column is a keyword and cannot be used in a document. So, in my documents I remove it with v.
Update Answer:
After a few attempts, it seems impossible to directly query the results you want from the the Cosmos DB via the SQL statement.
However , Cosmos DB provides us with Stored Procedure when we face complex queries. If you do not know much about stored procedure, you can read this article.
Please refer to the stored procedure I created as below :
function sample() {
var collection = getContext().getCollection();
var isAccepted = collection.queryDocuments(
collection.getSelfLink(),
'SELECT * FROM c',
function (err, feed, options) {
if (err) throw err;
var returnArray = [];
if (!feed || !feed.length){
getContext().getResponse().setBody('no docs found');
} else{
for(var i=0;i<feed.length;i++){
var foundHeight = false, foundWeight=false;
var dataArray = feed[i].variants[0].attributes.att_set_1.en.data;
for(var j=0;j<dataArray.length;j++){
var f = dataArray[j];
if((f.title=='Height'&&f.v>=2000){
foundHeight = true;
} else if(f.title=='Weight'&&f.v>=1000)){
foundWeight = true;
}
}
if(foundHeight && foundWeight)
returnArray.push(feed[i]);
}
}
getContext().getResponse().setBody(JSON.stringify(returnArray));
});
if (!isAccepted) throw new Error('The query was not accepted by the server.');
}
Output result :
[
{
"id": "1",
"name": "My Product 1",
"variants": [
{
"id": 2179,
"code": "A",
"attributes": {
"att_set_1": {
"en": {
"name": "Attribute Set 1",
"data": [
{
"id": 919,
"title": "Height",
"label": "height_mm",
"v": 2330,
"unit": "mm"
},
{
"id": 921,
"title": "Weight",
"label": "weight",
"v": 2931,
"unit": "kg"
},
{
"id": 923,
"title": "Other",
"label": "blah",
"v": 200,
"unit": "mm"
}
]
}
}
}
}
]
},
{
"id": "3",
"name": "My Product 3",
"variants": [
{
"id": 2181,
"code": "C",
"attributes": {
"att_set_1": {
"en": {
"name": "Attribute Set 1",
"data": [
{
"id": 919,
"title": "Height",
"label": "height_mm",
"v": 2000,
"unit": "mm"
},
{
"id": 921,
"title": "Weight",
"label": "weight",
"v": 999,
"unit": "kg"
},
{
"id": 923,
"title": "Other",
"label": "blah",
"v": 200,
"unit": "mm"
}
]
}
}
}
}
]
}
]
This result should be what you want. You can create it on portal or in your code. Any concern ,please let me know.
Hope it helps you.
const myJSON = {
"seller1": [
{
"product": "headphones",
"price": 23,
"weight": 1
},
{
"product": "earphone",
"price": 12,
"weight": 1
},
{
"product": "iPhone",
"price": 999,
"weight": 3
},
{
"product": "ipad",
"price": 399,
"weight": 4
}
],
"seller2": [
{
"product": "headphones",
"price": 25,
"weight": 1
},
{
"product": "earphone",
"price": 10,
"weight": 1
},
{
"product": "iPhone",
"price": 949,
"weight": 2
},
{
"product": "ipad",
"price": 449,
"weight": 3
}
]
}
I need to filter myJSON from a multi-select box where, if user selects product: iPhone and product: headphones, I need to display all the products that matches iPhone and headphones. In this case, myJSON will be
const myJSON = {
"seller1": [
{
"product": "headphones",
"price": 23,
"weight": 1
},
{
"product": "iPhone",
"price": 999,
"weight": 3
}
],
"seller2": [
{
"product": "headphones",
"price": 25,
"weight": 1
},
{
"product": "iPhone",
"price": 949,
"weight": 2
},
]
}
Now if the user selects different key, price: 449, myJSON should now be empty coz there is not property price: 449 in that anymore. But, if price: 23 then,
const myJSON = {
"seller1": [
{
"product": "headphones",
"price": 23,
"weight": 1
}
]
}
So for example, if user selects 3 items with same key(product), the we should show all the three items that match these 3 items from original json. Now when he selects a different key(price), then we should only filter from the previous result.
Any suggestion on how to implement this is much appreciated.
Suppose I have the following json file and I would like to return the 'existing.primaryBundle.products' array preferrably with lodash:
{
"existing": {
"hasPlatinum": false,
"primaryBundle": {
"id": "2008",
"name": "TV - Entertainment, Sport",
"products": [
{
"name": "Entertainment",
"id": "100",
"price": 2600,
"gifted": false
},
{
"name": "Sport",
"id": "107",
"price": 2500,
"gifted": false,
"swappableProducts": [
{
"name": "Movies",
"id": "105",
"price": 2000,
"gifted": false
}
]
}
]
},
"extrasBundle": {
"id": "131",
"name": "Optional Extras - MUTV (Sports), LFCTV (Sports), Chelsea TV (Sports)",
"products": [
{
"name": "MUTV (Sports)",
"id": "665",
"price": 0,
"gifted": false
},
{
"name": "LFCTV (Sports)",
"id": "666",
"price": 0,
"gifted": false
},
{
"name": "Chelsea TV (Sports)",
"id": "667",
"price": 0,
"gifted": false
}
]
}
}
}
I have tried lodash and use this statement:
list2 = _.pick(existing,'primaryBundle.products')
But this returns an error and not the wanted result. How can I select this products array?
you could use _.get(nameOfObject, 'existing.primaryBundle.products') of course you would need to name your object like I've done below with sampleObject;
check out the lodash docs too
const sampleObject = {
"existing": {
"hasPlatinum": false,
"primaryBundle": {
"id": "2008",
"name": "TV - Entertainment, Sport",
"products": [{
"name": "Entertainment",
"id": "100",
"price": 2600,
"gifted": false
}, {
"name": "Sport",
"id": "107",
"price": 2500,
"gifted": false,
"swappableProducts": [{
"name": "Movies",
"id": "105",
"price": 2000,
"gifted": false
}]
}]
},
"extrasBundle": {
"id": "131",
"name": "Optional Extras - MUTV (Sports), LFCTV (Sports), Chelsea TV (Sports)",
"products": [{
"name": "MUTV (Sports)",
"id": "665",
"price": 0,
"gifted": false
}, {
"name": "LFCTV (Sports)",
"id": "666",
"price": 0,
"gifted": false
}, {
"name": "Chelsea TV (Sports)",
"id": "667",
"price": 0,
"gifted": false
}]
}
}
}
console.log(_.get(sampleObject, 'existing.primaryBundle.products'));
The main reason why it returns an error is because existing is not a global scoped object, you have to assign object to some variable like const obj = {...} and then pass the parameter to _pick method as obj.existing, yet I don't see a reason to use lodash in here, you can just reference the path to that object directly.