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@loopback/repository
Advanced tools
It provides a common set of interfaces for interacting with databases.
NOTE: This module is experimental and evolving. It is likely going to be
refactored and decomposed into multiple modules as we refine the story based on
the legacy loopback-datasource-juggler
and connector modules from LoopBack
3.x.
This module provides data access facilities to various databases and services.
It contains the constructs for modeling and accessing data. Repositories can be
used alone or as part of Controller
implementation.
$ npm install --save @loopback/repository
The repository module provides APIs to define LoopBack 3.x data sources and models. For example,
import {
DataSourceConstructor,
juggler,
} from '@loopback/repository';
const ds: juggler.DataSource = new DataSourceConstructor({
name: 'db',
connector: 'memory',
});
/* tslint:disable-next-line:variable-name */
const Note = ds.createModel<typeof juggler.PersistedModel>(
'note',
{title: 'string', content: 'string'},
{},
);
A repository can be created directly using DefaultCrudRepository
.
const repo = new DefaultCrudRepository(Note, ds);
// Bind the repository instance
ctx.bind('repositories.noteRepo').to(repo);
Fore more detailed info about the repository usage and implementation with a controller, please refer to Use Repository
Repository
represents a specialized Service
interface that provides
strong-typed data access (for example, CRUD) operations of a domain model
against the underlying database or service.
Repository
can be defined and implemented by application developers. LoopBack
ships a few predefined Repository
interfaces for typical CRUD and KV
operations. Such Repository
implements leverage Model
definition and
DataSource
configuration to fulfill the logic for data access.
interface Repository<T extends Model> {}
interface CustomerRepository extends Repository<Customer> {
find(filter?: Filter, options?: Options): Promise<Customer[]>;
findByEmail(email: string): Promise<Customer>;
// ...
}
See more examples at:
A model describes business domain objects, for example, Customer
, Address
,
and Order
. It usually defines a list of properties with name, type, and other
constraints.
Models can be used for data exchange on the wire or between different systems.
For example, a JSON object conforming to the Customer
model definition can be
passed in REST/HTTP payload to create a new customer or stored in a document
database such as MongoDB. Model definitions can also be mapped to other forms,
such as relational database schema, XML schema, JSON schema, OpenAPI schema, or
gRPC message definition, and vice versa.
There are two subtly different types of models for domain objects:
Value Object: A domain object that does not have an identity (ID). Its
equality is based on the structural value. For example, Address
can be
modeled as Value Object
as two US addresses are equal if they have the same
street number, street name, city, and zip code values. For example:
{
"name": "Address",
"properties": {
"streetNum": "string",
"streetName": "string",
"city": "string",
"zipCode": "string"
}
}
Entity: A domain object that has an identity (ID). Its equality is based on
the identity. For example, Customer
can be modeled as Entity
as each
customer should have a unique customer id. Two instances of Customer
with
the same customer id are equal since they refer to the same customer. For
example:
{
"name": "Customer",
"properties": {
"id": "string",
"lastName": "string",
"firstName": "string",
"email": "string",
"address": "Address"
}
}
DataSource
is a named configuration of a connector. The configuration
properties vary by connectors. For example, a datasource for MySQL
needs to
set the connector
property to loopback-connector-mysql
with settings such
as:
{
"host": "localhost",
"port": 3306,
"user": "my-user",
"password": "my-password",
"database": "demo"
}
When a DataSource
is instantiated, the configuration properties will be used
to initialize the connector to connect to the backend system.
Connector
is a provider that implements data access or api calls with a
specific backend system, such as a database, a REST service, a SOAP Web Service,
or a gRPC micro-service. It abstracts such interactions as a list of operations
in the form of Node.js methods.
Typically, a connector translates LoopBack query
and mutation requests into native api calls supported by the underlying Node.js
driver for the given backend. For example, a connector for MySQL
will map
create
method to SQL INSERT statement, which can be executed through MySQL
driver for Node.js.
Mixin
is a way of building up classes from reusable components by combining
simpler partial classes, which can be modeled as Mixin
.
For example, the mixins belows add methods and properties to a base class to create a new one.
// Mixin as a function
function timestampMixin(Base) {
return class extends Base {
created: Date = new Date();
modified: Date = new Date();
}
}
// Mixin as an arrow function
const fullNameMixin = Base => class extends Base {
fullName() {
return `${this.firstName} ${this.lastName}`;
}
};
// The base class
class Customer {
id: string;
lastName: string;
firstName: string;
}
// Mix in timestamp
const CustomerWithTS = timestampMixin(Customer);
// Mix in full name
const CustomerWithTSAndFullName = fullNameMixin(CustomerWithTS);
To support property and parameter typing, LoopBack Next introduces an extensible typing system to capture the metadata and perform corresponding checks and coercion. The following types are supported out of box.
The Repository
and other interfaces extended from Repository
provide access
to backend databases and services. Repositories can be used alone or as part
of Controller
implementation.
At the moment, we only have implementations of Repository
based on LoopBack
3.x loopback-datasource-juggler
and connectors. The following steps illustrate
how to define repositories and use them with controllers.
The repository module provides APIs to define LoopBack 3.x data sources and models. For example,
import {
DataSourceConstructor,
juggler,
} from '@loopback/repository';
const ds: juggler.DataSource = new DataSourceConstructor({
name: 'db',
connector: 'memory',
});
/* tslint:disable-next-line:variable-name */
const Note = ds.createModel<typeof juggler.PersistedModel>(
'note',
{title: 'string', content: 'string'},
{},
);
NOTE: There is no declarative support for data source and model yet in LoopBack Next. These constructs need to be created programmatically as illustrated above.
A repository can be created directly using DefaultCrudRepository
.
const repo = new DefaultCrudRepository(Note, ds);
// Bind the repository instance
ctx.bind('repositories.noteRepo').to(repo);
Alternatively, we can define a new Repository subclass and use dependency injection to resolve the data source and model.
class MyNoteRepository extends DefaultCrudRepository<Entity, string> {
constructor(
@inject('models.Note') myModel: typeof juggler.PersistedModel,
// FIXME For some reason ts-node fails by complaining that
// juggler is undefined if the following is used:
// @inject('dataSources.memory') dataSource: juggler.DataSource
// tslint:disable-next-line:no-any
@inject('dataSources.memory') dataSource: any) {
super(myModel, dataSource);
}
}
Controllers serve as handlers for API requests. We declare controllers as classes with optional dependency injection by decorating constructor parameters or properties.
import {Context, inject} from '@loopback/context';
import {
repository,
Entity,
Options,
DataObject,
Filter,
EntityCrudRepository,
} from '@loopback/repository';
// The Controller for Note
class NoteController {
constructor(
// Use constructor dependency injection to set up the repository
@repository('noteRepo')
public noteRepo: EntityCrudRepository<Entity, number>,
) {}
// Create a new note
create(data: DataObject<Entity>, options?: Options) {
return this.noteRepo.create(data, options);
}
// Find notes by title
findByTitle(title: string, options?: Options) {
return this.noteRepo.find({where: {title}}, options);
}
}
Alternatively, the controller can be declared using property injection:
class NoteController {
@repository('noteRepo')
public noteRepo: EntityCrudRepository<Entity, number>;
}
// Create a context
const ctx = new Context();
// Mock up a predefined repository
const repo = new DefaultCrudRepository(Note, ds);
// Bind the repository instance
ctx.bind('repositories.noteRepo').to(repo);
// Create a context
const ctx = new Context();
// Bind model `Note`
ctx.bind('models.Note').to(Note);
// Bind the in-memory DB dataSource
ctx.bind('dataSources.memory').to(ds);
// Bind the repository class
ctx.bind('repositories.noteRepo').toClass(MyNoteRepository);
A Repository Mixin is available for Application that provides convenience methods for binding and instantiating a repository class. Bound instances can be used anywhere in your application using Dependency Injection. An array set to the key repositories
can be passed to the constructor or the .repository(RepositoryClass)
function can be used. The mixin will also instantiate any repositories declared by a component in its constructor using the repositories
key.
Repositories will be bound to the key repositories.RepositoryClass
where RepositoryClass
is the name of the Repository class being bound.
import { Application } from '@loopback/core';
import { RepositoryMixin } from '@loopback/repository';
import { ProductRepository, CategoryRepository } from './repository';
// Using the Mixin
class MyApplication extends RepositoryMixin(Application) {}
// ProductRepository will be bound to key `repositories.ProductRepository`
const app = new MyApplication({repositories: [ProductRepository]});
// CategoryRepository will be bound to key `repositories.CategoryRepository`
app.repository(CategoryRepository);
async function main() {
// Create a context
const ctx = new Context();
// Mock up a predefined repository
const repo = new DefaultCrudRepository(Note, ds);
// Bind the repository instance
ctx.bind('repositories.noteRepo').to(repo);
// Bind the controller class
ctx.bind('controllers.MyController').toClass(NoteController);
// Resolve the controller
const controller: NoteController = await ctx.get('controllers.MyController');
// Create some notes
await controller.create({title: 't1', content: 'Note 1'});
await controller.create({title: 't2', content: 'Note 2'});
// Find notes by title
const notes = await controller.findByTitle('t1');
return notes;
}
// Invoke the example
main().then(notes => {
// It should print `Notes [ { title: 't1', content: 'Note 1', id: 1 } ]`
console.log('Notes', notes);
});
This style allows repository methods to be mixed into the controller class to mimic LoopBack 3.x style model classes with remote CRUD methods. It blends the repository responsibility/capability into the controller.
import {EntityCrudRepository} from '../../src/repository';
import {Customer} from '../models/customer';
import {repository} from "../../src/decorator";
/**
* Use class level @repository decorator to mixin repository methods into the
* controller class. Think about @repository as a shortcut to @mixin(...)
*/
// Style 1
// Create a repository that binds Customer to mongodbDataSource
@repository(Customer, 'mongodbDataSource')
// Style 2
// Reference a pre-configured repository by name. This is close to LoopBack
// 3.x model-config.json
// @repository('myCustomerRepository')
export class CustomerController {
// find() will be mixed in
}
Repositories can be declared in JSON/YAML files as follows:
server/repositories.json
{
"customerRepo": {
"dataSource": "mysql",
"model": "Customer",
"settings": {}
}
}
run 'npm test' from the root folder.
See all contributors.
MIT
FAQs
Define and implement a common set of interfaces for interacting with databases
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