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How to access nested elements of json object in node js and mongodb

const mongoose = require("mongoose");
const productSchema = mongoose.Schema({
product_name: {
type: String,
required: [true, "Must Enter Product Name"],
},
product_brand: {
type: String,
},
category: {
type: String,
required: [true, "Must Enter Product Catagorey"],
},
reviews: [
{
name: {
type: String,
},
user: {
type: mongoose.Schema.Types.ObjectId,
ref: "User",
},
comment: {
type: String,
required: true,
},
rating: {
type: Number,
// required: true,
},
},
{ timestamps: true },
],
owner: {
type: mongoose.Schema.Types.ObjectId,
ref: "User",
},
});
module.exports = mongoose.model("Product", productSchema);
Here I want to access the values of commet for Appling filters
Here is is the output of my products
[
{
"_id": "63c4ee520ca7722674d007d5",
"product_name": "Headphones",
"product_description": "xvy",
"product_price": 8000,
"product_brand": "Apple",
"product_color": "White",
"product_stoke": 3,
"category": "Headphones",
"product_image": "public\\images\\uploaded\\products\\167385045002297820433-5f2f-43d1-972a-4b33785393ee.0ad829318c5599f429d2a6e625f8bde3.jpeg",
"product_sku": "#1",
"owner": "63c4ed720ca7722674d007ab",
"reviews": [
{
"name": "Daniyal Alam",
"user": "63c43d54cf582066929c8c46",
"comment": "Good Mobbile Phone",
"rating": 4,
"_id": "63cbce2cd52bf9ecfdf29323"
}
],
"__v": 1
},
{
"_id": "63c4e3530ca7722674d006b6",
"product_name": "Air bud Two.",
"product_description": "In the busy world which is fil.",
"product_price": 50000,
"product_brand": "Apple",
"product_color": "White",
"product_stoke": 5,
"category": "Headphones",
"product_image": "public\\images\\uploaded\\products\\167384763581197820433-5f2f-43d1-972a-4b33785393ee.0ad829318c5599f429d2a6e625f8bde3.jpeg",
"product_sku": "33",
"owner": "63c4d8ac0ca7722674d00529",
"reviews": [],
"__v": 0
},
]
I want to access my comments I tried the following code but it only returns reviews
exports.commentProduct = async (req, res, next) => {
const newproduct = await Product.find({});
try {
const reviews = newproduct?.map((p) => {
if (typeof p.reviews != "undefined") {
console.log(p.reviews);
}
});
const com = reviews?.map((c) => {
// console.log(comments);
});
// const comments = reviews.comment;
return res.status(200).json({
success: true,
reviews,
});
} catch (error) {
return res.status(500).json({
success: false,
message: error.message,
});
}
};
the Console Prints products having reviews but after applying dot notation on reviews I got undefined
[
{
name: 'Daniyal Alam',
user: new ObjectId("63c43d54cf582066929c8c46"),
comment: 'BEst One',
rating: 5,
_id: new ObjectId("63cbce44d52bf9ecfdf29743")
}
]
[]
[]
[]
[]
[]
[]
[]
[]
[
{
name: 'Daniyal Alam',
user: new ObjectId("63c43d54cf582066929c8c46"),
comment: 'pp',
rating: 4,
_id: new ObjectId("63c4f76e0ca7722674d040ae")
}
]
[]
[
{
name: 'Daniyal Alam',
user: new ObjectId("63c43d54cf582066929c8c46"),
comment: 'Good Mobbile Phone',
rating: 4,
_id: new ObjectId("63cbce2cd52bf9ecfdf29323")
}
]

Working with your example, you can map each item, then map the reviews, and get the comment out of each like using the following code
const data = [{
"_id": "63c4ee520ca7722674d007d5",
"product_name": "Headphones",
"product_description": "xvy",
"product_price": 8000,
"product_brand": "Apple",
"product_color": "White",
"product_stoke": 3,
"category": "Headphones",
"product_image": "public\\images\\uploaded\\products\\167385045002297820433-5f2f-43d1-972a-4b33785393ee.0ad829318c5599f429d2a6e625f8bde3.jpeg",
"product_sku": "#1",
"owner": "63c4ed720ca7722674d007ab",
"reviews": [{
"name": "Daniyal Alam",
"user": "63c43d54cf582066929c8c46",
"comment": "Good Mobbile Phone",
"rating": 4,
"_id": "63cbce2cd52bf9ecfdf29323"
}],
"__v": 1
}]
data.map((dat) => {
dat["reviews"].map((rev) => {
document.querySelector('div').innerHTML +=rev["comment"]
})
})
<div></div>

How to calculate sum of fields using mongoose and nodejs api based on a search result

I'm trying to retrieve the sum of some fields based on a search result and filter and I want to do the summation and apply it only to the search result
In my application based on nodejs and mongoose, I have a search process for the user's payment transaction records, which are divided into two parts, or filtered into two parts, which are the balance consumption records and the balance top-up records as follows
I do a filtering process through Query while searching and retrieving records. This is the result of the search
What I really want is to create a new dummy field that does not exist in the database, and it is included in the data returned from the request sent in the previous image, and it calculates the total points based on the search result
I found this code online and tried it
I tried to configure it to fit the data I had
This code returns the result separately from the search process that I intend to retrieve, and this is normal since it contains a different result
It also returns the result of collecting points for all users, and this is something I do not need
History.aggregate(
[{ $group: { _id: "$userId", total: { $sum: "$point"}}}],
function(err, result) {
if (err) {
res.send(err);
} else {
res.json(result);}});
this findAllHistory
const findAllHistory = async (req,res) => {
try {
let loginUser = { _id: req.user.id };
let foundUserLogin = await dbService.findOne(user, loginUser);
let options = {};
let query = {};
let validateRequest = validation.validateFilterWithJoi(
req.body,
HistorySchemaKey.findFilterKeys,
History.schema.obj
);
if (!validateRequest.isValid) {
return res.validationError({ message: `${validateRequest.message}` });
}
if (typeof req.body.query === 'object' && req.body.query !== null) {
query = { ...req.body.query };
}
query.categoryHistory = {$ne: 1};
query.payeeId = req.user.id;
if (req.body.isCountOnly){
let totalRecords = await dbService.count(History, query);
return res.success({ data: { totalRecords } });
}
if (req.body && typeof req.body.options === 'object' && req.body.options !== null) {
options = { ...req.body.options };
}
// let foundHistorys = await dbService.paginate(History,{ $or: [ { payeeId: req.user.id }, { categoryHistory: { $lt: 4 } } ] } );
let foundHistorys = await dbService.paginate( History,query,options);
if (!foundHistorys || !foundHistorys.data || !foundHistorys.data.length){
return res.recordNotFound();
}
/* History.aggregate(
[{ $group: { _id: "$userId", total: { $sum: "$point"}}}],
function(err, result) {
if (err) {
res.send(err);
} else {
res.json(result);}});
*/
return res.success({ data :foundHistorys });
} catch (error){
return res.internalServerError({ message:error.message });
}
};
this Schema
const myCustomLabels = {
totalDocs: "itemCount",
docs: "data",
limit: "perPage",
page: "currentPage",
nextPage: "next",
prevPage: "prev",
totalPages: "pageCount",
pagingCounter: "slNo",
meta: "paginator",
};
mongoosePaginate.paginate.options = { customLabels: myCustomLabels };
const Schema = mongoose.Schema;
const schema = new Schema({
userId: {
type: Schema.Types.ObjectId,
ref: "user",
required: true,
unique: false,
},
isDeleted: { type: Boolean },
date: { type: Date },
point: {
type: Number,
min: 1,
unique: false,
required: true,
},
description: {
lowercase: false,
trim: true,
unique: false,
type: String,
required: true,
minLength: 6,
maxLength: 100,
uniqueCaseInsensitive: true,
},
categoryHistory: {
type: Number,
enum: CategoryHistoryEnum.Category_History,
required: true,
unique: false,
},
payeeId: {
type: Schema.Types.ObjectId,
ref: "user",
required: true,
unique: false,
},
pointDirection: {
default: false,
type: Boolean,
required: true,
},
});
this res
{
"status": "SUCCESS",
"message": "Your request is successfully executed",
"data": {
"data": [
{
"userId": "6372886e89d36d38b75a774b",
"date": "2022-11-18 11:1 pm",
"point": 50,
"description": "test",
"categoryHistory": 3,
"payeeId": "6372886e89d36d38b75a774b",
"pointDirection": true,
"isDeleted": false,
"id": "6377e495541a7889acf1cfc6"
},
{
"userId": "6372886e89d36d38b75a774b",
"date": "2022-11-18 11:2 pm",
"point": 50,
"description": "test",
"categoryHistory": 3,
"payeeId": "6372886e89d36d38b75a774b",
"pointDirection": true,
"isDeleted": false,
"id": "6377e4c4541a7889acf1cfdb"
},
{
"userId": "6372886e89d36d38b75a7741",
"date": "2022-11-19 12:27 am",
"point": 5,
"description": "test",
"categoryHistory": 2,
"payeeId": "6372886e89d36d38b75a774b",
"pointDirection": false,
"isDeleted": false,
"id": "6377f8bbe8ca063c5a5deef4"
}
],
"paginator": {
"itemCount": 3,
"offset": 0,
"perPage": 10,
"pageCount": 1,
"currentPage": 1,
"slNo": 1,
"hasPrevPage": false,
"hasNextPage": false,
"prev": null,
"next": null
}
}
}
Please help me to make the result as follows
{
"status": "SUCCESS",
"message": "Your request is successfully executed",
"data": {
"data": [
{
"userId": "6372886e89d36d38b75a774b",
"date": "2022-11-18 11:1 pm",
"point": 50,
"description": "test",
"categoryHistory": 3,
"payeeId": "6372886e89d36d38b75a774b",
"pointDirection": true,
"isDeleted": false,
"id": "6377e495541a7889acf1cfc6"
},
{
"userId": "6372886e89d36d38b75a774b",
"date": "2022-11-18 11:2 pm",
"point": 50,
"description": "test",
"categoryHistory": 3,
"payeeId": "6372886e89d36d38b75a774b",
"pointDirection": true,
"isDeleted": false,
"id": "6377e4c4541a7889acf1cfdb"
},
],
"total point": 100, // Add This to res //
"paginator": {
"itemCount": 3,
"offset": 0,
"perPage": 10,
"pageCount": 1,
"currentPage": 1,
"slNo": 1,
"hasPrevPage": false,
"hasNextPage": false,
"prev": null,
"next": null
}
}
}

How can I grab the ID inside a nested array/objects?

How can I grab the _id of sellerId inside the products? So my backend crash because I change the schema and won't compute the total sum, so right now, how can I grab it.
so this is my data.
{
"_id": "636656163b470e00d0c44872",
"userId": {
"_id": "6366559f3b470e00d0c447e9",
"studentId": "1234567890"
},
"products": [
{
"productId": {
"_id": "636655f03b470e00d0c447fb",
"title": "Shoe Cabinet",
"img": "https://firebasestorage.googleapis.com/v0/b/tua-ecom.appspot.com/o/1667651055293%5Bobject%20File%5D?alt=media&token=608c62f4-915c-47ce-a817-b025bebff06f"
},
"quantity": 1,
"sellerId": {
"_id": "636655c53b470e00d0c447eb",
"studentId": "1234567891"
},
"_id": "636656163b470e00d0c44873"
}
],
"amount": 100,
"location": "gym",
"time": "8 am",
"status": "pending",
"tax": 1,
"createdAt": "2022-11-05T12:24:54.934Z",
"updatedAt": "2022-11-05T12:24:54.934Z",
"__v": 0
},
This is request.
router.get("/total/:id", async (req, res) => {
const { id } = req.params;
try {
const income = await Order.aggregate([
{$match:
{
"products.sellerId" : {"$elemMatch": {"_id": id}}
}
},
{$project: {amount: 1}},
])
console.log("Hello")
res.status(200).json(income);
} catch (err) {
res.status(500).json({err: err.message});
}
});
note, the id inside the sellerId, is the params I'm using in the router, what I'm trying to do is grab the orders of specific users and compute it.
EDIT: ADDED SCHEMA
OrderSchema.js
const OrderSchema = new mongoose.Schema({
userId: {type: mongoose.Schema.Types.ObjectId, ref: 'User'},
products: [
{
productId:{
type: mongoose.Schema.Types.ObjectId, ref: 'Product'
},
quantity: {
type: Number,
default: 1,
},
sellerId: {
type: mongoose.Schema.Types.ObjectId, ref: 'User'
}
}
],
amount: {type: Number,required: true},
location:{type: Object, required:true},
time: {type: String, required: true},
status: {type:String, default: "pending"},
tax: {type: Number,}
}, {timestamps: true}
)
export default mongoose.model('Order', OrderSchema)

MongoDB E11000 duplicate key error collection (duplicate key error)

I am trying to write an array to my mongodb and i keep getting this error...
UnhandledPromiseRejectionWarning: MongoError: E11000 duplicate key
error collection: test.strains index: id dup key: { _id:
ObjectId('5ec18ebc5c7b4f6149499d93') }
adding to db
const upsertStrain = async (strainObj) => {
const DB_URL =
"mongodb_url";
if (mongoose.connection.readyState == 0) {
mongoose.connect(DB_URL);
}
// if this strain exists, update the entry, don't insert
let conditions = { name: strainObj.name };
let options = { upsert: true, new: true, setDefaultsOnInsert: true };
await Strain.findOneAndUpdate(
conditions,
strainObj,
options,
(err, result) => {
if (err) throw err;
}
);
};
calling function
for(strain of strains) {
await upsertStrain({
name: strain.name,
mood: strain.mood,
dateCrawled: new Date(),
});
}
Schema:
let strainSchema = new mongoose.Schema(
{
name: {
type: String,
sparse: true,
unique: true
},
mood: {
type: String,
sparse: true,
unique: false
},
dateCrawled: {
type: Date,
sparse: true
},
}
);
The the array that i am trying to add looks like this...
[
{
"name": "Blackberry Hashplant",
"mood": "Sleepy"
},
{
"name": "Walrus Kush",
"mood": "Happy"
},
{
"name": "Cherry Cheesecake",
"mood": "Sleepy"
},
{
"name": "Gorilla Cake",
"mood": "Hungry"
},
{
"name": "Divorce Cake",
"mood": ""
},
{
"name": "Biscotti",
"mood": ""
},
{
"name": "Kush Mints",
"mood": ""
},
{
"name": "Cookie Dawg",
"mood": ""
},
{
"name": "Cake Batter",
"mood": ""
},
{
"name": "Crazy Glue",
"mood": ""
},
{
"name": "Grapefruit Sour Dream",
"mood": ""
},
{
"name": "Gelato Cake",
"mood": ""
},
{
"name": "Garanimals",
"mood": ""
}
]
please help...been stuck on this for a while

Trouble using mongoose 'Populate'

Good Morning,
So I seem to have an issue with populating my fields with Node.js and Mongoose. It is just turning up a blank array:
Result: (JSON)
[
{
"courseassignments": [],
"_id": "5db56ceb4cc2c92824ae2651",
"name": "Garibaldi",
"website": "www.garibaldi.org.uk",
"__v": 0
},
{
"courseassignments": [],
"_id": "5db56d074cc2c92824ae2652",
"name": "Kirk Hallam",
"website": "www.kirkhallamacademy.co.uk",
"__v": 0
}
]
Below is the code I am using the call the populate function, plus the models that I am using for each of the data. It is very weird.
*school.js (Model) *
// Require modules within our file:
const mongoose = require('mongoose')
const schoolSchema = new mongoose.Schema({
name: {
type: String,
required: true,
unique: true,
trim: true
},
website: {
type: String,
required: true,
trim: true
},
logo: {
type: Buffer
},
courseassignments: [{
type: mongoose.Schema.Types.ObjectID,
ref: 'CourseAssignment'
}]
})
// Export the user to use within other files:
const school = mongoose.model('School', schoolSchema)
module.exports = school
courseassignment.js (Model)
// Require modules within our file:
const mongoose = require('mongoose')
const courseAssignmentSchema = new mongoose.Schema({
school: {
type: mongoose.Schema.Types.ObjectID,
required: true,
ref: 'School'
},
course: {
type: mongoose.Schema.Types.ObjectID,
required: true,
ref: 'Course'
}
})
// Export the user to use within other files:
const courseAssignment = mongoose.model('CourseAssignment', courseAssignmentSchema)
module.exports = courseAssignment
* Code to fetch data: (within app.js)*
router.get('/school', async (req, res) => {
const schools = await School.find({}).populate({ path: 'courseassignments' })
res.send(schools)
})

I would remove the courseassigment ref from the School model, and would take advantage of virtual populate.
So here are the steps:
school.js (school model - as you see I removed courseassignments ref, and added options for virtual features)
const mongoose = require('mongoose')
const schoolSchema = new mongoose.Schema({
name: {
type: String,
required: true,
unique: true,
trim: true
},
website: {
type: String,
required: true,
trim: true
},
logo: {
type: Buffer
}
}, {
toJSON: { virtuals: true },
toObject: { virtuals: true }
})
schoolSchema.virtual("courseassignments", {
ref: "CourseAssignment",
foreignField: "school",
localField: "_id"
})
const school = mongoose.model('School', schoolSchema)
module.exports = school
At this point when you hit the schools endpoint, your response will be like this.
( I only show one item to be short.)
[
{
"_id": "5db5a809cfc9951770d5078a",
"name": "school 1",
"website": "school 1 website",
"__v": 0,
"courseassignments": [
{
"_id": "5db5a892cfc9951770d50790",
"school": "5db5a809cfc9951770d5078a",
"course": "5db5a847cfc9951770d5078d",
"__v": 0
},
{
"_id": "5db5a89ccfc9951770d50791",
"school": "5db5a809cfc9951770d5078a",
"course": "5db5a851cfc9951770d5078e",
"__v": 0
},
{
"_id": "5db5a8a1cfc9951770d50792",
"school": "5db5a809cfc9951770d5078a",
"course": "5db5a858cfc9951770d5078f",
"__v": 0
}
],
"id": "5db5a809cfc9951770d5078a"
},
...
...
]
And if you also want to access to the Course name (which I think would be good),
courseassigment.js
const mongoose = require('mongoose')
const courseAssignmentSchema = new mongoose.Schema({
school: {
type: mongoose.Schema.Types.ObjectID,
required: true,
ref: 'School'
},
course: {
type: mongoose.Schema.Types.ObjectID,
required: true,
ref: 'Course'
}
}, {
toJSON: { virtuals: true },
toObject: { virtuals: true }
})
courseAssignmentSchema.pre(/^find/, function (next) {
this.populate({
path: 'course'
});
next();
});
// an index may be required like this
//courseAssignmentSchema.index({ school: 1, course: 1 }, { unique: true });
const courseAssignment = mongoose.model('CourseAssignment', courseAssignmentSchema)
module.exports = courseAssignment
And with this the result will contain the course related fields like course name.
[[
{
"_id": "5db5a809cfc9951770d5078a",
"name": "school 1",
"website": "school 1 website",
"__v": 0,
"courseassignments": [
{
"_id": "5db5a892cfc9951770d50790",
"school": "5db5a809cfc9951770d5078a",
"course": {
"_id": "5db5a847cfc9951770d5078d",
"name": "course 1",
"__v": 0
},
"__v": 0,
"id": "5db5a892cfc9951770d50790"
},
{
"_id": "5db5a89ccfc9951770d50791",
"school": "5db5a809cfc9951770d5078a",
"course": {
"_id": "5db5a851cfc9951770d5078e",
"name": "course 2",
"__v": 0
},
"__v": 0,
"id": "5db5a89ccfc9951770d50791"
},
{
"_id": "5db5a8a1cfc9951770d50792",
"school": "5db5a809cfc9951770d5078a",
"course": {
"_id": "5db5a858cfc9951770d5078f",
"name": "course 3",
"__v": 0
},
"__v": 0,
"id": "5db5a8a1cfc9951770d50792"
}
],
"id": "5db5a809cfc9951770d5078a"
},
...
...
]
Docs:
https://mongoosejs.com/docs/tutorials/virtuals.html
https://mongoosejs.com/docs/populate.html#populate-virtuals