Skip to main content

CoreMongooseArray(0) bug instead of Normal array

This is my index.js file

const mongoose = require('mongoose');

const Dishes = require('./models/dishes');

const url = 'mongodb://localhost:27017/conFusion';
const connect = mongoose.connect(url);

connect.then((db) => {

console.log('Connected correctly to server');

Dishes.create({
    name: 'Uthappizza',
    description: 'test'
})
.then((dish) => {
    console.log(dish);

    return Dishes.findByIdAndUpdate(dish._id, {
        $set: { description: 'Updated test'}
    },{ 
        new: true 
    })
    .exec();
})
.then((dish) => {
    console.log(dish);

    dish.comments.push({
        rating: 5,
        comment: 'I\'m getting a sinking feeling!',
        author: 'Leonardo di Carpaccio'
    });

    return dish.save();
})
.then((dish) => {
    console.log(dish);

    return Dishes.remove({});
})
.then(() => {
    return mongoose.connection.close();
})
.catch((err) => {
    console.log(err);
});

});

this is my dishes.js file:

    const mongoose = require('mongoose');
const Schema = mongoose.Schema;

var commentSchema = new Schema({
    rating:  {
        type: Number,
        min: 1,
        max: 5,
        required: true
    },
    comment:  {
        type: String,
        required: true
    },
    author:  {
        type: String,
        required: true
    }
}, {
    timestamps: true
});


var dishSchema = new Schema({
    name: {
        type: String,
        required: true,
        unique: true
    },
    description: {
        type: String,
        required: true
    },
    comments:[commentSchema]
}, {
    timestamps: true
});

var Dishes = mongoose.model('Dish', dishSchema);
module.exports = Dishes;

I am getting an error that says:

isNew: false,
  errors: undefined,
  _doc: {
    _id: 6207ff6455a72312f4426861,
    name: 'Uthappizza',
    description: 'Updated test',
    comments: CoreMongooseArray(0) [
      _path: 'comments',
      toBSON: [Function: toBSON],
      _atomics: {},
      _parent: [Circular *1],
      _cast: [Function: _cast],
      _markModified: [Function: _markModified],
      _registerAtomic: [Function: _registerAtomic],
      '$__getAtomics': [Function: $__getAtomics],
      hasAtomics: [Function: hasAtomics],
      _mapCast: [Function: _mapCast],
      push: [Function: push],
      nonAtomicPush: [Function: nonAtomicPush],
      '$pop': [Function: $pop],
      pop: [Function: pop],
      '$shift': [Function: $shift],
      shift: [Function: shift],
      pull: [Function: pull],
      splice: [Function: splice],
      unshift: [Function: unshift],
      sort: [Function: sort],
      addToSet: [Function: addToSet],
      set: [Function: set],
      toObject: [Function: toObject],
      inspect: [Function: inspect],
      indexOf: [Function: indexOf],
      remove: [Function: pull],
      id: [Function: id],
      create: [Function: create],
      notify: [Function: notify],
      isMongooseDocumentArray: true,
      validators: [],
      _schema: [DocumentArray],
      _handlers: [Object]
    ],
    createdAt: 2022-02-12T18:41:40.049Z,
    updatedAt: 2022-02-12T18:41:40.096Z,
    __v: 0
  }

the issue is in the output of the comments part, can someone pls help me? I have tried reading about it online, but i am not able to get anything where is the problem?

Ps: this is a part of course, I have followed all the steps very carefully, but I am still getting the problem

Via Active questions tagged javascript - Stack Overflow https://ift.tt/Q2rpeIL

Comments

Popular posts from this blog

How to show number of registered users in Laravel based on usertype?

i'm trying to display data from the database in the admin dashboard i used this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count(); echo $users; ?> and i have successfully get the correct data from the database but what if i want to display a specific data for example in this user table there is "usertype" that specify if the user is normal user or admin i want to user the same code above but to display a specific usertype i tried this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count()->WHERE usertype =admin; echo $users; ?> but it didn't work, what am i doing wrong? source https://stackoverflow.com/questions/68199726/how-to-show-number-of-registered-users-in-laravel-based-on-usertype

Why is my reports service not connecting?

I am trying to pull some data from a Postgres database using Node.js and node-postures but I can't figure out why my service isn't connecting. my routes/index.js file: const express = require('express'); const router = express.Router(); const ordersCountController = require('../controllers/ordersCountController'); const ordersController = require('../controllers/ordersController'); const weeklyReportsController = require('../controllers/weeklyReportsController'); router.get('/orders_count', ordersCountController); router.get('/orders', ordersController); router.get('/weekly_reports', weeklyReportsController); module.exports = router; My controllers/weeklyReportsController.js file: const weeklyReportsService = require('../services/weeklyReportsService'); const weeklyReportsController = async (req, res) => { try { const data = await weeklyReportsService; res.json({data}) console...

ValueError: X has 10 features, but LinearRegression is expecting 1 features as input

So, I am trying to predict the model but its throwing error like it has 10 features but it expacts only 1. So I am confused can anyone help me with it? more importantly its not working for me when my friend runs it. It works perfectly fine dose anyone know the reason about it? cv = KFold(n_splits = 10) all_loss = [] for i in range(9): # 1st for loop over polynomial orders poly_order = i X_train = make_polynomial(x, poly_order) loss_at_order = [] # initiate a set to collect loss for CV for train_index, test_index in cv.split(X_train): print('TRAIN:', train_index, 'TEST:', test_index) X_train_cv, X_test_cv = X_train[train_index], X_test[test_index] t_train_cv, t_test_cv = t[train_index], t[test_index] reg.fit(X_train_cv, t_train_cv) loss_at_order.append(np.mean((t_test_cv - reg.predict(X_test_cv))**2)) # collect loss at fold all_loss.append(np.mean(loss_at_order)) # collect loss at order plt.plot(np.log(al...