Mongoose One to Many relatioship - javascript

I'm trying to create a one to many relationship between Category and Services models.
I have two schemas: Category and Service.
Category schema holds services array.
Service schema hold category _id.
I'm trying to retrieve all Categories including services.
Category schema:
import mongoose from 'mongoose';
const categoriesModel = new mongoose.Schema(
{
category: {
type: String,
required: true,
},
services: [{ type: mongoose.SchemaTypes.ObjectId, ref: 'Service' }],
},
{ timestamps: true }
);
export const Category = mongoose.model('Category', categoriesModel);
Service schema:
import mongoose from 'mongoose';
const serviceSchema = new mongoose.Schema(
{
serviceName: {
type: String,
required: true,
},
description: {
type: String,
required: true,
},
images: {
type: Array,
image: Buffer,
required: true,
},
category: {
type: mongoose.SchemaTypes.ObjectId,
ref: 'Category',
required: true,
},
},
{ timestamps: true }
);
export const Service = mongoose.model('Service', serviceSchema);
HTTP get request to retrieve all Categories including Services:
export const getAllCategories = async (req, res) => {
try {
const docs = await Category.find({}).populate({
path: 'services',
model: 'Service',
});
console.log(docs);
res.status(200).json({ data: docs });
} catch (err) {
res.status(400).json(err.message);
}
};
This is what I get as a response from the request above:
{
"services": [],
"_id": "60affe06c71901281d3d820d",
"category": "Electricity"
},
I've tried different ways to populate services but none of them worked.
What I've tried so far:
Add additional nesting to services attribute.
Adding object to the populate params:
{
path: 'services',
model: 'Service',
}
Removing existing data ant posting additional one.
Fun fact. Retrieving each Service individually, service data includes the actual category, that it's been assigned to:
export const getAllServices = async (req, res) => {
try {
const doc = await Service.find({}).populate('category');
res.status(200).json({ data: doc });
} catch (err) {
res.status(400).json(err);
}
};
Is there something I'm missing regarding including services within retrieving categories? It's really interesting, because somehow the actual services data is [].
EDIT: Each category in Categories collection has empty services array. The services are added dynamically, they might be null for specific category until user adds a service and assigns a category to it. Is this forbidden? Do I need to find specific category and add a specific service to category while creating new service? If yes, this would require to add additional Category model to the services.controller.js and find the category. Is this really an appropriate solution?

Related

How to seed roles and capabilities in MongoDB

I am new to working on a MongoDB and Docker, I am working on an application and couldn't find a more subtle way to seed my database using an npm run command. First I created a file called seed.js and then associated it to npm run seed command on the package.json file.
On the seed.js file I import Mongoose and the models but two things I will need to do is:
Create roles, if they don’t exist yet
Create capabilities, if they don’t exist yet and associate it to the
roles
The Roles that i want to create are:
admin (description: Administrator)
viewer (description: Viewer)
Capabilities
I need to check each endpoint of the Users service that should require authentication and create an adequate capability. Example: updateUser updates the user data. This could be done by the own user (so there must be an updateUserOwn capability) and by an administrator (that will have an updateUsers capability). I will have to analyse each endpoint and judge what is adequate but I cannot still find a way around getting the initial role and capabilities to the database.
UPDATE:
On the seeding itself, the updated solution works, but it requires lot of code and repetition that could probably be fixed by loops. I’d like to start creating the roles first which means creating an array with objects, with the data from the roles to be created. Each role has the fields role and description
const userRole = [{
role: admin
description: Administrator
},
{
role: viewer
description: Viewer
}]
The idea is that if the role exist it doesn't need to update but I don't know how do I loop through the array and create a role only if it doesn’t exist. Something like using updateOne, with the upsert: true option, but with the data on $setOnInsert as this will add the data only if a document is inserted.
I only need create and not update because in the future I’ll edit roles directly through the API. So, if a change was made on the admin role, for example, the seed will not overwrite it
During the loop, I'll need to create an associative array called rolesIds that will store the ObjectId of the created roles. It should result in something like this:
[
"admin": "iaufh984whrfj203jref",
"viewer": "r9i23jfeow9iefd0ew0",
]
Also each capability must have an array of roles it must be associated to. Example:
{
capability: "updateUsers",
description: "Update the data of all users",
roles: ["admin"]
}
How do I loop through the array on each element, prepare it to be inserted using the array with object IDs. Instead of roles: ["admin"]? something like roles: ["iaufh984whrfj203jref"], otherwise there’ll be a cast error. Remember each capability may be associated to more than one role, so I'll probably need to loop through them but I cannot find a way to create that logic.
Users Model
const userSchema = new mongoose.Schema(
{
.......
role: {
ref: "roles",
type: mongoose.Schema.Types.ObjectId,
},
);
module.exports = mongoose.model("User", userSchema);
Role Model:
const roles = new mongoose.Schema({
role: {
type: String,
required: true,
},
capabilities: [
{
type: mongoose.Schema.Types.ObjectId,
ref: "capabilities",
},
],
});
module.exports = mongoose.model("roles", roles);
Capabilities Model:
const capabilities = new mongoose.Schema({
capability: {
type: String,
required: true,
},
name: {
type: String,
},
});
module.exports = mongoose.model("capabilities", capabilities);
UPDATED: seed file:
const seedDB = async () => {
if (!process.env.DB_URI) {
throw new Error("Error connecting to MongoDB: DB_URI is not defined.");
}
try {
await mongoose.connect(process.env.DB_URI, {
useNewUrlParser: true,
useUnifiedTopology: true,
useCreateIndex: true,
});
console.log("Connected to MongoDB");
const tasks = [
Capability.findOneAndUpdate(
{ name: "updateUserOwn" },
{ capability: "updateUser" },
{ upsert: true }
).exec(),
Capability.findOneAndUpdate(
{ name: "updateUsers" },
{ capability: "updateUser" },
{ upsert: true }
).exec(),
// Seed more...
];
const [updateUserOwn, updateUsers] = await Promise.all(tasks);
Role.bulkWrite([
{
updateOne: {
filter: { role: "Admin" },
update: { capabilities: [updateUsers] },
upsert: true,
},
},
{
updateOne: {
filter: { role: "Viewer" },
update: { capabilities: [updateUserOwn] },
upsert: true,
},
},
]);
console.log("seeded data", tasks);
} catch (error) {
console.log(`Error connecting to MongoDB: ${error}`);
}
};
seedDB();
You are on the right path overall.
Because capabilities are used as a reference you'd have to fetch or create them (get a ref) before assigning them to a role.
This could be your seed logic:
const tasks = [
Capability.findOneAndUpdate(
{ name: 'updateUserOwn' }, // matches or creates this capability
{ capability: 'updateUser' }, // adds this to the object
{ upsert: true, new: true } // `new` guarantees an object is always returned
}).exec(),
Capability.findOneAndUpdate(
{ name: 'updateUsers' },
{ capability: 'updateUser' },
{ upsert: true, new: true }
}).exec(),
// Seed more...
];
const [
updateUserOwn,
updateUsers,
] = await Promise.all(tasks);
// We can use bulk write for the second transaction so it runs in one go
await Role.bulkWrite([
{
updateOne: {
filter: { role: 'Admin' },
update: { capabilities: [updateUsers] },
upsert: true,
}
},
{
updateOne: {
filter: { role: 'Viewer' },
update: { capabilities: [updateUserOwn] },
upsert: true,
}
}
]);
We seed capabilities one by one using findOneAndUpdate so we can get a reference to each capability we intend to use on the roles
Then we use bulkWrite to seed the roles
I might have swapped the capabilities and their names but I hope you get the general idea
The seed would have been simpler if there weren't references involved - you could just use bulkWrite everything in one go, but in order to create object with inner references or add references to such object you first need to have the actual reference
You can create static mapping and loop through which would reduce the code a bit, and make things easier. This would also allow you to skip seeding items that already exist
Since capabilities are reused through roles I want to create them first, but it's no problem to alter the logic to first create roles and then capabilities, though it might not be as straight forward
Also each capability must have an array of roles it must be associated to.
This is called a "many to many" relationship (as roles also have an array of references to capabilities) which would only complicate logic. Are you sure you really need it - mongoose/monogo won't manage it automatically for you:
when you add a capability to a role you'd also need to sync and add the role inside capability.roles - manually
and the reverse - adding a role inside capability.roles you'd need to sync this and also manually add the capability to role.capabilities
the same thing for deleting capabilities or roles - manual cleanup
it can fail and would need to recover - e.g. a capability is added to role.capabilities but for some reason execution stopped and the role was not added to capability.roles - so the whole handling might need to be wrapped in a transaction
there are ways to cross reference roles and capabilities without have to have a "many to many" relationship
Here's a simple approach using save middleware to sync many to many relationships for create/update
Role.js
const mongoose = require('mongoose');
const roles = new mongoose.Schema({
role: {
type: String,
required: true,
},
description: String,
capabilities: [
{
type: mongoose.Schema.Types.ObjectId,
ref: 'capabilities',
},
],
});
roles.pre('save', async function save() {
// Doesn't need to run if there are no capabilities
if (!this.capabilities || this.capabilities.length === 0) return;
const Capability = mongoose.model('capabilities');
await Capability.updateMany(
{ _id: {$in: this.capabilities} },
// Adds only if it's missing
{ $addToSet: { roles: this._id }},
);
});
// Todo: similar logic to remove from capabilities if role is deleted
module.exports = mongoose.model("roles", roles);
Capability.js
const mongoose = require('mongoose');
const capabilities = new mongoose.Schema({
capability: {
type: String,
required: true,
},
description: {
type: String,
},
roles: [
{
type: mongoose.Schema.Types.ObjectId,
ref: 'roles',
}
]
});
capabilities.pre('save', async function save() {
if (!this.roles || this.roles.length === 0) return;
const Role = mongoose.model('roles');
await Role.updateMany(
{_id: {$in: this.roles}},
{$addToSet: {capabilities: this._id}},
);
})
// Todo: similar logic to remove from roles if capability is deleted
module.exports = mongoose.model("capabilities", capabilities);
Here's an update seed routine:
Seed.js
const mongoose = require('mongoose');
const Capability = require('./models/Capability');
const Role = require('./models/Role');
const CAPABILITIES = {
UPDATE_USERS: {
capability: 'updateUsers',
description: 'Update the data of all users',
},
VIEW_USERS: {
capability: 'viewUsers',
description: 'View public data of users',
},
UPDATE_OWN_RECORD: {
capability: 'updateUserOwn',
description: 'Update user own data',
}
}
const ROLES_TO_SEED = [
{
role: 'admin',
description: 'Administrator',
capabilities: [CAPABILITIES.UPDATE_USERS, CAPABILITIES.VIEW_USERS],
},
{
role: 'viewer',
description: 'Viewer',
capabilities: [CAPABILITIES.VIEW_USERS, CAPABILITIES.UPDATE_OWN_RECORD],
}
]
const seedDB = async () => {
await connectToDb();
await seedRoles();
};
const connectToDb = async () => {
if (!process.env.DB_URI) throw new Error('DB_URI is not defined.');
console.info('Connecting to database...');
await mongoose.connect(process.env.DB_URI, {
useNewUrlParser: true,
useUnifiedTopology: true,
useCreateIndex: true,
useFindAndModify: false,
});
console.info('Connected \n');
}
const seedRoles = async () => {
console.log('Seeding Roles...');
// runs sequentially to skip creating duplicate capabilities
for (const role of ROLES_TO_SEED) {
await findOrCreateRole(role);
}
console.log('Complete \n');
}
const findOrCreateRole = async ({capabilities, role, ...defaults}) => {
console.info('Looking for role: ', role);
const fromDb = await Role.findOne({role}).exec();
if (fromDb) {
console.info('Role already exists skipping... \n');
return fromDb;
}
console.info('Role does not exist - creating new \n');
const doc = new Role({role, ...defaults});
// All capabilities (per role) can be created/found in parallel
const roleCapabilities = await Promise.all(capabilities.map(findOrCreateCapability));
doc.capabilities = roleCapabilities.map(c => c._id);
await doc.save();
console.info('Role created: ', role);
console.info('');
return doc;
}
const findOrCreateCapability = async ({capability, ...defaults}) => {
console.info('Looking for capability: ', capability);
let doc = await Capability.findOne({capability}).exec();
if (doc) {
console.info(`Capability ${capability} found - using existing...`);
}
else {
console.info(`Capability ${capability} does not exist - creating new`);
doc = new Capability({capability, ...defaults});
await doc.save();
}
return doc;
}
seedDB()
.then(() => {
console.info('Exiting...: ');
process.exit(0);
})
.catch(error => {
console.error('Seed failed');
console.error(error);
process.exit(1);
})
We have a dictionary of capabilities and a list of roles that we can map to db operations.
The idea is that each role should contain the full definition of a capability, it can be used to either find the existing capability or create it if it doesn't exist
For each role in the list we make a query to see if it exists.
When it exists we do nothing and move to the next role
When it doesn't exist we have all the data needed to create it and create/find any capabilities that it might need
When you figure out all the roles and capabilities of the application you just put them in the ROLES_TO_SEED and CAPABILITIES static mappings
The script relies on the above mentioned middleware modifications in models
And a small bonus
You don't need many to many relationship to match capabilities to the roles they are used in. Here's how you can aggregate that information if only the Role model have an array of capabilities (refs). Run this after the database is seeded:
const showCapabilitiesUsages = async () => {
const result = await Capability.aggregate([
{
$lookup: {
from: 'roles',
let: {searched: '$_id'},
pipeline: [
{
$match: {
$expr: {
$in: ['$$searched', '$capabilities']
}
}
}
],
as: 'roles'
}
}, {
$project: {
_id: 0,
capability: 1,
description: 1,
usedInRoles: {
$map: {
input: '$roles',
as: 'role',
in: '$$role.role',
}
}
}
}
]).exec();
console.log('Aggregate result: ', result);
}
You should get a result like:
Aggregate result: [
{
capability: 'updateUsers',
description: 'Update the data of all users',
usedInRoles: [ 'admin' ]
},
{
capability: 'viewUsers',
description: 'View public data of users',
usedInRoles: [ 'admin', 'viewer' ]
},
{
capability: 'updateUserOwn',
description: 'Update user own data',
usedInRoles: [ 'viewer' ]
}
]
Try something like this, it should would work:
const roles = [
{
name: 'admin',
description: 'Administrator',
},
{
name: 'viewer',
description: 'Viewer',
},
];
const capabilities = [
// Capabilities
{
name: 'createCapability',
description: 'Create a new capability',
roles: ['admin'],
},
{
name: 'deleteCapability',
description: 'Delete a capability',
roles: ['admin'],
}
// Roles
{
name: 'createRole',
description: 'Create a new role',
roles: ['admin'],
},
{
name: 'deleteRole',
description: 'Delete a role',
roles: ['admin'],
},
// Users
{
name: 'updateUser',
description: 'Update current user data',
roles: ['viewer'],
},
{
name: 'updateUsers',
description: 'Update the data from any user',
roles: ['admin'],
},
];
const seedRoles = async (roles) => {
if (0 == roles.length || !Array.isArray(roles)) {
return;
}
console.log('');
for (const role of roles) {
const savedRole = await Role.findOneAndUpdate(
{name: role.name},
{$setOnInsert: role},
{upsert: true, new: true, rawResult: true},
);
if (!savedRole) {
console.log(`Role “${savedRole.value.name}” already on database.`);
} else {
console.log(`Role “${savedRole.value.name}” added to database.`);
}
}
};
const seedCapabilities = async (capabilities) => {
if (0 == capabilities.length || !Array.isArray(capabilities)) {
return;
}
console.log('');
for (const capability of capabilities) {
const rolesToPush = capability.roles;
delete capability.roles;
const addedCapability = await Capability.findOneAndUpdate(
{name: capability.name},
{$setOnInsert: capability},
{upsert: true, new: true, rawResult: true},
);
if (!addedCapability) {
console.log(
`Capability “${addedCapability.value.name}” ` +
`already on database.`,
);
} else {
console.log(
`Capability “${addedCapability.value.name}” ` +
`added to database.`,
);
if (rolesToPush && Array.isArray(rolesToPush)) {
rolesToPush.forEach(async (role) => {
const roleToPush = await Role.findOne({name: role});
if (roleToPush) {
roleToPush.capabilities.push(addedCapability.value);
await roleToPush.save();
}
});
}
}
}
};
const seedDb = async (roles, capabilities, users) => {
try {
await seedRoles(roles);
await seedCapabilities(capabilities);
console.log('roles', roles);
} catch (error) {
console.error(error);
}
};
module.exports = seedDb;

MongoDB Aggregate is not matching specific field

I'm new to Aggregation in MongoDB and I'm trying to understand the concepts of it by making examples.
I'm trying to paginate my subdocuments using aggregation but the returned document is always the overall values of all document's specific field.
I want to paginate my following field which contains an array of Object IDs.
I have this User Schema:
const UserSchema = new mongoose.Schema({
username: {
type: String,
unique: true,
required: true
},
firstname: String,
lastname: String,
following: [{
type: mongoose.Schema.Types.ObjectId,
ref: 'User'
}],
...
}, { timestamps: true, toJSON: { virtuals: true }, toObject: { getters: true, virtuals: true } });
Without aggregation, I am able to paginate following,
I have this route which gets the user's post by their username
router.get(
'/v1/:username/following',
isAuthenticated,
async (req, res, next) => {
try {
const { username } = req.params;
const { offset: off } = req.query;
let offset = 0;
if (typeof off !== undefined && !isNaN(off)) offset = parseInt(off);
const limit = 2;
const skip = offset * limit;
const user = await User
.findOne({ username })
.populate({
path: 'following',
select: 'profilePicture username fullname',
options: {
skip,
limit,
}
})
res.status(200).send(user.following);
} catch (e) {
console.log(e);
res.status(500).send(e)
}
}
);
And my pagination version using aggregate:
const following = await User.aggregate([
{
$match: { username }
},
{
$lookup: {
'from': User.collection.name,
'let': { 'following': '$following' },
'pipeline': [
{
$project: {
'fullname': 1,
'username': 1,
'profilePicture': 1
}
}
],
'as': 'following'
},
}, {
$project: {
'_id': 0,
'following': {
$slice: ['$following', skip, limit]
}
}
}
]);
Suppose I have this documents:
[
{
_id: '5fdgffdgfdgdsfsdfsf',
username: 'gagi',
following: []
},
{
_id: '5fgjhkljvlkdsjfsldkf',
username: 'kuku',
following: []
},
{
_id: '76jghkdfhasjhfsdkf',
username: 'john',
following: ['5fdgffdgfdgdsfsdfsf', '5fgjhkljvlkdsjfsldkf']
},
]
And when I test my route for user john: /john/following, everything is fine but when I test for different user which doesn't have any following: /gagi/following, the returned result is the same as john's following which aggregate doesn't seem to match user by username.
/john/following | following: 2
/kuku/following | following: 0
Aggregate result:
[
{
_id: '5fdgffdgfdgdsfsdfsf',
username: 'kuku',
...
},
{
_id: '5fgjhkljvlkdsjfsldkf',
username: 'gagi',
...
}
]
I expect /kuku/following to return an empty array [] but the result is same as john's. Actually, all username I test return the same result.
I'm thinking that there must be wrong with my implementation since I've only started exploring aggregation.
Mongoose uses a DBRef to be able to populate the field after it has been retrieved.
DBRefs are only handled on the client side, MongoDB aggregation does not have any operators for handling those.
The reason that aggregation pipeline is returning all of the users is the lookup's pipeline does not have a match stage, so all of the documents in the collection are selected and included in the lookup.
The sample document there is showing an array of strings instead of DBRefs, which wouldn't work with populate.
Essentially, you must decide whether you want to use aggregation or populate to handle the join.
For populate, use the ref as shown in that sample schema.
For aggregate, store an array of ObjectId so you can use lookup to link with the _id field.

Mongoose autopopulate on create

I'm using the mongoose plugin autopopulate to populate docs from a separate collection. Here's a dumbed down schema:
const PostSchema = new Schema(
{
user: {
type: Schema.Types.ObjectId,
ref: 'user',
required: true,
autopopulate: {
select: ['firstName', 'lastName', 'email', 'username']
}
},
comment: { type: String }
}
)
Now, when I create a post with
const post = await Post.create({ user, comment });
It returns null for the populated user even though it shows up in the database and subsequent queries. I've used the { new: true } option on findByIdAndUpdate but it doesn't seem to work on create. Any thoughts on how to get create to return the populated docs?

Mongoose's lean usage with populate and nested queries

Im coding an app in Node.js which is using MongoDB. I chose MongooseJS to handle my DB queries.
I have two collections that are referenced to each other (Room which is the 'superior' collection and DeviceGroups which is contained within Room collection).
I have a query that gets a list of all of the rooms from Room collection, populates deviceGroups field (which is the Rooms reference to DeviceGroup collection) and inside it there is a map method that goes through every room found in the Room collection and for every room it makes another query - it looks for any deviceGroups in DeviceGroup collection that are referenced to the current room in the map method.
My goal here is to return a list of all of the rooms with deviceGroups field filled in with actual data, not only references.
What I am getting after the queries (inside the then method) is a Mongoose document. The whole algorithm is used as a handler of a GET method, so I need a pure JavaScript object as a response.
Main goal I want to achieve is to get result of all of the queries and population inside them as pure javascript object, so I can create a response object and send it (i dont want to send everything that db returns, because not all of the data is needed for this case)
EDIT:
I am so sorry, I have deleted my code and didnt realize it.
My current code is below:
Schema:
const roomSchema = Schema({
name: {
type: String,
required: [true, 'Room name not provided']
},
deviceGroups: [{
type: Schema.Types.ObjectId,
ref: 'DeviceGroup'
}]
}, { collection: 'rooms' });
const deviceGroupSchema = Schema({
parentRoomId: {
type: Schema.Types.ObjectId,
ref: 'Room'
},
groupType: {
type: String,
enum: ['LIGHTS', 'BLINDS', 'ALARM_SENSORS', 'WEATHER_SENSORS']
},
devices: [
{
type: Schema.Types.ObjectId,
ref: 'LightBulb'
}
]
}, { collection: 'deviceGroups' });
Queries:
app.get('/api/id/rooms', function(req, res) {
Room.find({}).populate('deviceGroups').lean().exec(function(err, parentRoom) {
parentRoom.map(function(currentRoom) {
DeviceGroup.findOne({ parentRoomId: currentRoom._id }, function (err, devices) {
return devices;
});
});
}).then(function(roomList) {
res.send(roomList);
});
});
where are you confusing. here is a simple and effective code snippet
Room.findById(req.params.id)
.select("roomname")
.populate({
path: 'deviceGroup',
select: 'devicename',
model:'DeviceGroups'
populate:{
path: 'device',
select: 'devicename',
model:'Device'
}
})
.lean()
.exec((err, data)=>{
console.log(data);
})

Fetching data from MongoDB in Sails.js

I am new to Sails.js. I am trying to fetch data from my Mongo Db database "TestDB", I have a collection name "Components", so I created a Model named Components whcih contains the attributes of my colection
Components.js
module.exports = {
attributes: {
TaskId: {
type: 'string',
required: true
},
CompName: {
type: 'string'
},
InitialAttr: {
type: 'string'
},
Value: {
type: 'string'
}
}
};
ComponentsController.js
module.exports = {
GetComponentList : function(req, res){
Components.find({ CompName: 'ImageComponent'}).exec(function(err, data) {
if (err) return next(err);
res.json(data);
});
}
};
Route:
'/comp' : {
controller: 'components',
action: 'GetComponentList'
}
The above query executes fine in MongoVUE returning the dataset, but returns
[]
in Sails.js
The Waterline ORM expects all database tables / collections to be lowercased. I'm guessing if you looked in your Mongo database you'd see there are now two collections: Components and components. If you don't care about the existing data in your db you can just delete the Components collection. Otherwise you can point your model at the existing collection using the tableName property:
module.exports = {
tableName: 'Components',
attributes: {
TaskId: {
type: 'string',
required: true
},
...etc...
}
}

Categories

Resources