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 a Controller implementation.

Installation

$ npm install --save @loopback/repository

Basic use

The repository module provides APIs to define LoopBack 3.x data sources and models. For example,

import {
  DataSourceConstructor,
  juggler,
  Entity,
  model,
  ModelDefinition
} from '@loopback/repository';

export const ds: juggler.DataSource = new DataSourceConstructor({
  name: 'db',
  connector: 'memory',
});

@model()
export class Note extends Entity {
  static definition = new ModelDefinition({
    name: 'note',
    properties: {
      id: {name: 'id', type: 'number', id: true},
      title: 'string',
      content: 'string'
    }
  })
};

A repository can be created directly using DefaultCrudRepository.

import {DefaultCrudRepository} from '@loopback/repository';
// also import Note and ds from wherever you defined them

  const repo = new DefaultCrudRepository(Note, ds);

  // Bind the repository instance to the 'ctx' Context.
  ctx.bind('repositories.noteRepo').to(repo);

Fore more detailed info about the repository usage and implementation with a controller, please refer to Use Repository

Concepts

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:

Model

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

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

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

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);

Type

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.

StringType
BooleanType
NumberType
DateType
BufferType
AnyType
ArrayType
UnionType

Use Repository

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.

Define legacy data sources and models

The repository module provides APIs to define LoopBack 3.x data sources and models. For example,

import {
  DataSourceConstructor,
  juggler,
  Entity,
  model,
  ModelDefinition
} from '@loopback/repository';

export const ds: juggler.DataSource = new DataSourceConstructor({
  name: 'db',
  connector: 'memory',
});

@model()
export class Note extends Entity {
  static definition = new ModelDefinition({
    name: 'note',
    properties: {
      id: {name: 'id', type: 'number', id: true},
      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.

Define a repository

A repository can be created directly using DefaultCrudRepository.

import {DefaultCrudRepository} from '@loopback/repository';
// also import Note and ds from wherever you defined them

  const repo = new DefaultCrudRepository(Note, ds);

  // Bind the repository instance to the 'ctx' Context.
  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.

import {DataSourceType} from '@loopback/repository';

class MyNoteRepository extends DefaultCrudRepository<Entity, string> {
  constructor(
    @inject('models.Note') myModel: typeof Note,
    @inject('dataSources.memory') dataSource: DataSourceType) {
      super(myModel, dataSource);
    }
}

Define a controller

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,
  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>;
}

Run the controller and repository together

Bind the repository to context

// 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);

Using the Repository Mixin for Application

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. The .repository(RepositoryClass) function can be used to bind a repository class to an Application. 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);

Compose repositories and controllers in a context

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);
});

Mix in a repository into the controller (To be implemented)

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
}

Declare pre-defined repositories in JSON/YAML (To be implemented)

Repositories can be declared in JSON/YAML files as follows:

server/repositories.json

{
  "customerRepo": {
    "dataSource": "mysql",
    "model": "Customer",
    "settings": {}
  }
}

Contributions

Tests

run 'npm test' from the root folder.

Contributors

See all contributors.

License

MIT

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Package last updated on 14 Mar 2018

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Install

@loopback/repository