mongot
v1.5.0
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MongoT is a modern ODM library for MongoDb.
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MongoT
MongoT is a modern ODM library for MongoDb.
Install
Just type npm i -S mongot
to install this package.
Usage
Configure
You may need TypeScript 2+ and should enable experimentalDecorators
,
emitDecoratorMetadata
in your tsconfig.json
.
Collections
A collection is a class which support CRUD operations for own documents.
Create a collection
Let's create a simple collection and name it as UserCollection
:
# UserCollection.ts
import {Collection, collection} from 'mongot';
import {UserDocument} from './UserDocument';
@index('login', {unique: true})
@collection('users', UserDocument)
class UserCollection extends Collection<UserDocument> {
findByEmail(email: string) {
return this.findOne({email});
}
}
Any collections should refer to their own document schemas so
we link the class UserCollection
to a users
collection in
database and a UserDocument
schema by a @collection
decorator.
Document Schema
A document class describes a schema (document properties, getters/setters, hooks for insertions/updates and helper functions).
Schema supports these types: ObjectID
, string
, boolean
, number
,
date
, Object
, SchemaFragment
(also known as sub-document)
and array
. A buffer
type doesn't tested at this time.
Create schema
To describe schema you need write a class with
some properties decorated with @prop
decorator
and define property type. Just look at UserDocument
schema example:
# UserDocument.ts
import {SchemaDocument, SchemaFragment, Events} from 'mongot';
import {hook, prop, document} from 'mongot';
import * as crypto from 'crypto';
@fragment
class UserContactsFragment extends SchemaFragment {
type: 'phone' | 'email' | 'im';
title: string;
value: string;
}
@document
class UserDocument extends SchemaDocument {
@prop
public email: string;
@prop
public password: string;
@prop
public firstName: string;
@prop
public lastName: string;
@prop
registered: Date = new Date();
@prop
updated: Date;
@prop(UserContactsFragment)
children: SchemaFragmentArray<UserContactsFragment>;
@hook(Events.beforeUpdate)
refreshUpdated() {
this.updated = new Date();
}
get displayName() {
return [this.firstName, this.lastName]
.filter(x => !!x)
.join(' ') || 'Unknown';
}
checkPassword(password: string) {
return this.password === crypto.createHash('sha1')
.update(password)
.digest('hex');
}
}
Usage
Repository
Repository is an util for creating connections to server and get connected collections.
Example:
# index.ts
import {Repository} from 'mongot';
const options = {};
const repository = new Repository('mongodb://localhost/test', options);
The Repository
class constructor has same arguments that
MongoClient.
Documents
You can creating documents in two ways.
Using Collection.factory
method:
# document-factory.ts
import {Repository} from 'mongot';
import {UserCollection} from './UserCollection';
const repository = new Repository('mongodb://localhost/test', {});
async function main(): void {
const users: UserCollection = repository.get(UserCollection);
const user = users.factory({
email: '[email protected]',
firstName: 'Bob'
});
console.log(user);
// saving document
await users.save(user);
}
main();
Using DocumentSchema
constructor:
# document-constructor.ts
import {Repository} from 'mongot';
import {UserCollection} from './UserCollection';
const repository = new Repository('mongodb://localhost/test', {});
async function main(): void {
const users: UserCollection = repository.get(UserCollection);
const user = new UsersDocument({
email: '[email protected]',
firstName: 'Bob'
});
// or UsersDocument.factory(...)
console.log(user);
// saving document
await users.save(user);
}
main();
Safe merging
When you need update a document you can use safe document merging:
# document-safe-merging.ts
import {Repository} from 'mongot';
import {UserCollection} from './UserCollection';
const repository = new Repository('mongodb://localhost/test', {});
async function main(): void {
const users: UserCollection = repository.get(UserCollection);
const user = users.findOne();
user.merge({lastName: 'Bond'});
// save changes
users.save(user);
}
main();
This method saves data described in document schema only.
Read queries
Get connected collection to execute find query over:
# find.ts
import {Repository} from 'mongot';
import {UserCollection} from './UserCollection';
const repository = new Repository('mongodb://localhost/test', {});
async function main(): void {
const users: UserCollection = repository.get(UserCollection);
const user = await users.findByEmail('[email protected]');
console.log(user);
}
main();
You can use any of these Collection
methods for
querying: findOne
, find
and aggregate
(see specs for help).
Write queries
# update.ts
import {Repository, ObjectID} from 'mongot';
import {UserCollection} from './UserCollection';
const options = {};
const repository = new Repository('mongodb://localhost/test', options);
async function main(): void {
const users: UserCollection = repository.get(UserCollection);
const user = await users.findOne();
user.updated = new Date();
users.save(user);
}
main();
Collection
method save
saves any data for DocumentSchema
types.
You also can use these Collection
methods:
updateOne
, findOneAndUpdate
, updateMany
(see specs for help);
Partial
You can use projection and aggregation with partial schemas:
# partial.ts
import {PartialDocumentFragment, prop} from 'mongot';
import {UserCollection} from './UserCollection';
// initialize repo ...
@fragment
class PartialUser extends PartialDocumentFragment {
@prop email: strng;
@prop created: Date;
}
(async function() {
const Users = repository.get(UserCollection);
const partialUser = await (await Users.find())
.map(doc => PartialUser.factory(doc))
.project<PartialUser>({email, created})
.fetch();
console.log(partialUser instanceof PartialDocumentFragment); // true
)();
Virtual getter
You can mark a schema getter by @virtual
decorator if you want to
serialize the getter value with toJSON()
or toObject()
.
Example
@document
class UserDocument extends SchemaDocument {
@prop firstName: string;
@prop lastName?: string;
@virtual get displayName(): string {
return [this.firstName, this.lastName]
.filter(x => !!x)
.join(' ')
}
}
const user = new UserDocument({firstName: 'User', lastName: 'Name'});
console.log(JSON.stringify(user));
you'll get
{
"firstName": "User",
"lastName": "Name",
"displayName": "User Name"
}
License
MIT