Why isn't my Getter function working with Mongoose? - mongodb

I have a getter on the price property of my schema.
For some reason, my getter function is not working when I try to query a document from my MongoDB database. The price value comes back exactly as I have it saved in my database, as opposed to a rounded number via Math.floor(v). Fyi, my setter works fine in the same scenario. Any help would be much appreciated!
const schema = mongoose.Schema({
name: { type: String, required: true, lowercase: true },
isPublished: Boolean,
author: {
type: String,
required: function (v) {
return this.isPublished;
},
uppercase:true,
},
price: {
type: Number,
required: true,
get: function (v) {
return Math.floor(v);
},
},
});
const Documents = mongoose.model("Documents", schema);
async function myQuery(id) {
const result = await Documents.findById(id);
if (!result) return debug("Not found...");
debug(result);
}
myQuery("60348d30e7b9bf3878170955");

const schema = mongoose.Schema({
name: { type: String, required: true, lowercase: true },
isPublished: Boolean,
author: {
type: String,
required: function (v) {
return this.isPublished;
},
uppercase: true,
},
price: {
type: Number,
required: true,
get: function (v) {
return Math.floor(v);
},
},
} {
toObject: { getters: true, setters: true },
toJSON: { getters: true, setters: true },
runSettersOnQuery: true
});
Add the following configuration to your schema and give it a try.

Related

mongoose validator not working as expected

i want to add batch,department,stream,id fields to the schema depending if usertype is “Student”,i do not understand why,but sometimes it adds the fields sometimes not.forexample if i created a user with usertype “Student” first it does not add the fields,but after that when i created a user with usertype “Teacher” or “Admin” it asks me the fields are required meaning it add the fields and this happens vice versa.why any way to fix this issue?please help guys.
what i have tried well,i have asked chatGpt but no answers i mean just the answers do not solve the issue.
here is the code
const mongoose = require("mongoose");
const Schema = mongoose.Schema;
const userSchema = new Schema(
{
fullName: { type: String, required: true, unique: true },
email: { type: String, required: true, unique: true },
userType: {
type: String,
required: true,
},
phoneNumber: { type: String, required: true },
password: { type: String, required: true },
approved: { type: Boolean, default: true },
},
{
timestamps: true,
}
);
userSchema.pre("validate", function (next) {
if (this.userType === "Student") {
this.constructor.schema.add({
batch: {
type: Number,
required: true,
},
department: {
type: String,
required: true,
},
stream: {
type: String,
required: true,
},
id: { type: String, required: true }, //, unique: true
});
}
next();
});
const userModel = mongoose.model("users", userSchema);
module.exports = userModel;

How to fetch data from multiple collections in MongoDB?

How to fetch data from multiple collections in MongoDB by using a common field and sending data (in those fetched collections) using one response?
Employee Scheema:
const mongoose = require("mongoose");
const employeeSchema = new mongoose.Schema(
{
profilePic: {
type: String,
},
employeeID: {
type: String,
required: true,
},
employeeFirstName: {
type: String,
required: true,
},
employeeLastName: {
type: String,
required: true,
},
birthday: {
type: String,
},
streetNo: {
type: String,
},
city: {
type: String,
},
phoneNumber: {
type: String,
},
jobRole: {
type: String,
required: true,
},
NIC: {
type: String,
required: true,
unique: true,
},
companyEmail: {
type: String,
required: true,
unique: true,
},
status: {
type: String,
required: true,
},
resignDate: {
type: String,
},
jobType: {
type: String,
required: true,
},
candidateID: {
type: String,
required: true,
},
teamID: {
type: String,
},
lastSeen: {
type: String,
},
token: {
type: String,
},
},
{ timestamps: true }
);
module.exports = mongoose.model("employee", employeeSchema);
Acadamic Qualification Scheema:
const mongoose = require("mongoose");
const academicQualificaationSchema = new mongoose.Schema(
{
employeeID: {
type: String,
required: true,
},
ordinaryLevelResult: {
type: Array,
required: true,
},
advancedLevelResults: {
type: Array,
required: true,
},
achievements: {
type: Array,
required: true,
},
},
{ timestamps: true }
);
module.exports = mongoose.model(
"academicQualification",
academicQualificaationSchema
);
Professional Qualification Scheema:
const mongoose = require("mongoose");
const proffesionalQualificaationSchema = new mongoose.Schema(
{
employeeID: {
type: String,
required: true,
},
degree: {
type: Array,
required: true,
},
language: {
type: Array,
required: true,
},
course: {
type: Array,
required: true,
},
},
{ timestamps: true }
);
module.exports = mongoose.model(
"proffesionalQualification",
proffesionalQualificaationSchema
);
Controller:
exports.viewEmployees = async (req, res) => {
try {
let accQuali, profQuali;
const employees = await employeeSchema.find();
accQuali = await academicQualificaationSchema.find();
profQuali = await ProffesionalQualificationSchema.find();
if (employees || accQuali || profQuali) {
return res.status(200).json({ data: { employees, profQuali, accQuali } });
} else {
return res.status(404).json({ message: message });
}
} catch (err) {
return res.status(404).json({ err: err.message });
}
};
This controller is working properly and sends all data in 3 collections with the use of one response. But, I am comfortable if I will be able to Fetch data separately for each employee.
If you want to get the data from the three collections for specific employee or employees, you can use an aggregation pipeline with a $lookup stage, as suggested by #1sina1. For example:
db.employee.aggregate([
{
$match: {"employeeID": "IDA"}
},
{
$lookup: {
from: "academicQualification",
localField: "employeeID",
foreignField: "employeeID",
as: "academicQualification"
}
},
{
$lookup: {
from: "proffesionalQualification",
localField: "employeeID",
foreignField: "employeeID",
as: "proffesionalQualification"
}
}
])
As you can see on the playground

set field value based on other fields mongoose schema

I am trying to set a value based on the value of two other fields in my schema but im getting the following error
ReferenceError: Cannot access 'isPending' before initialization
here is the model
const mongoose = require('mongoose');
const bookingSchema = new mongoose.Schema({
userId: {
type: mongoose.Schema.Types.ObjectId,
required: true,
ref: 'User',
},
sitterId: {
type: mongoose.Schema.Types.ObjectId,
required: true,
ref: 'Sitter',
},
start: {
type: Date,
required: true,
},
end: {
type: Date,
required: true,
min: this.start,
},
accepted: {
type: Boolean,
default: false,
},
declined: {
type: Boolean,
default: false,
},
paid: {
type: Boolean,
default: false,
},
pending: {
type: Boolean,
default: true,
set: isPending,
},
});
const isPending = (accepted, declined) => {
!accepted && !declined ? true : false;
};
any ideas? is it possible to do
check this
use this to get access to other fields value:
pending: {
type: Boolean,
default: true,
set: function() { return !this.accepted && !this.declined }
}

Mongoose error with PUT request but not with POST or GET

I have a schema that looks like:
const houseSchema = new mongoose.Schema({
address: {
type: String,
required: true,
trim: true,
},
city: {
type: String,
required: true,
},
roofType: {
type: String,
//required: true,
},
repairType: {
type: String,
//required: true,
},
numFloors: {
type: Number,
//required: true,
},
isOwner: {
type: Boolean,
//required: true,
},
isGated: {
type: Boolean
},
includeFlat: {
type: Boolean
},
addedBy: [
{
name:{
type: String
},
time:{
type: String
},
}
],
});
const customerSchema = new mongoose.Schema({
firstName: {
type: String,
required: true,
trim: true,
},
lastName: {
type: String,
required: true,
trim: true,
},
phoneNumber: {
type: String,
required: true,
},
email: {
type: String,
},
//array of houseSchema objects
properties: [
houseSchema
],
});
And my endpoint that is used to update one of the 'properties' is:
router.route('/property').post(async (req,res) => {
const body = req.body;
Customer.updateOne({_id: req.query.id, properties: {$elemMatch: {_id: req.query.pId}}},
{
$set: {
"properties.$.address": body.address,
"properties.$.city": body.city,
"properties.$.roofType": body.roofType,
"properties.$.repairType": body.repairType,
"properties.$.numFloors": body.numFloors,
"properties.$.isOwner": body.isOwner,
"properties.$.isGated": body.isGated,
"properties.$.includeFlat": body.includeFlat
}
},
function(err){
if(err){
res.status(400).json('Error: ' + err);
}
else{
res.json('Property Updated!');
}
}
)
});
The endpoint works mostly fine (it returns the customer and all properties when i only search for and want to modify one of the 'properties') but only when it is a post or a get request and when it is a put request, the error says
Error: ValidationError: firstName: Path firstName is required., lastName: Path lastName is required., phoneNumber: Path phoneNumber is required.
I dont know if its a big deal or not, but I do not know why this is happening and would like to know. Just to be clear, the goal of this endpoint is to find one of the properties and update its values, not to change anything about a customer or any of their other properties.

Data is not inserted as per schema

I had defined mongoose schema and i tried to insert data into mongodb.But it is not inserted as per defined schema
export const EmpSchema: mongoose.Schema = new Schema({
name: {
type: String,
required: true
},
empNo: {
type: String,
required: true
},
skill: {
type: [String],
required: true
},
address: {
type: String,
required: true
}
}, {
_id: false,
versionKey: false,
retainKeyOrder: true
});
It is getting stored like Array elements as last field.like
name
empno
address
skill
export const EmpSchema: mongoose.Schema = new Schema({
name: {
type: String,
required: true
},
empNo: {
type: String,
required: true
},
skill: {
type: [String],
required: true
},
address: {
type: String,
required: true
}
}, {
_id: false,
versionKey: false,
retainKeyOrder: true
});
YOUR SCHEMA DEFINATION IS CORRECT PLEASE CHECK THE CONTROLLER PART WHERE YOU PUT THE INSERT QUERY . THERE MATTERS A INSERTION ORDER