A delightful way to building a Node.js RESTful API Services with beautiful code written in TypeScript.
Inspired by the awesome framework laravel in PHP and of the repositories from pleerock
_{Made with ❤️ by w3tech, Gery Hirschfeld and contributors}

Our main goal with this project is a feature complete server application. We like you to be focused on your business and not spending hours in project configuration.

Try it!! We are happy to hear your feedback or any kind of new features.

• Beautiful Code thanks to the awesome annotations of the libraries from pleerock.
• Easy API Testing with included e2e testing.
• Dependency Injection done with the nice framework from TypeDI.
• Simplified Database Query with the ORM TypeORM.
• Clear Structure with different layers such as controllers, services, repositories, models, middlewares...
• Easy Exception Handling thanks to routing-controllers.
• Smart Validation thanks to class-validator with some nice annotations.
• Custom Validators to validate your request even better and stricter. custom-validation-classes.
• API Documentation thanks to swagger and routing-controllers-openapi.
• API Monitoring thanks to express-status-monitor.
• Integrated Testing Tool thanks to Jest.
• E2E API Testing thanks to supertest.
• Basic Security Features thanks to Helmet.
• Easy event dispatching thanks to event-dispatch.
• Fast Database Building with simple migration from TypeORM.
• Easy Data Seeding with our own factories.
• GraphQL provides as a awesome query language for our api GraphQL.
• TypeGraphQL thanks to TypeGraphQL we have a some cool decorators to simplify the usage of GraphQL.
• DataLoaders helps with performance thanks to caching and batching DataLoaders.

• Getting Started
• Scripts and Tasks
• Debugger in VSCode
• API Routes
• Project Structure
• Logging
• Event Dispatching
• Seeding
• GraphQL
• Docker
• Further Documentations
• Related Projects
• License

You need to set up your development environment before you can do anything.

Install Node.js and NPM

• on OSX use homebrew brew install node
• on Windows use chocolatey choco install nodejs

Install yarn globally

yarn global add yarn

Install a MySQL database.

If you work with a mac, we recommend to use homebrew for the installation.

Fork or download this project. Configure your package.json for your new project.

Then copy the .env.example file and rename it to .env. In this file you have to add your database connection information.

Create a new database with the name you have in your .env-file.

Then setup your application environment.

yarn run setup

This installs all dependencies with yarn. After that it migrates the database and seeds some test data into it. So after that your development environment is ready to use.

Go to the project dir and start your app with this yarn script.

yarn start serve

This starts a local server using nodemon, which will watch for any file changes and will restart the server according to these changes. The server address will be displayed to you as http://0.0.0.0:3000.

All script are defined in the package-scripts.js file, but the most important ones are listed here.

• Install all dependencies with yarn install

• Run code quality analysis using yarn start lint. This runs tslint.
• There is also a vscode task for this called lint.

• Run the unit tests using yarn start test (There is also a vscode task for this called test).
• Run the integration tests using yarn start test.integration.
• Run the e2e tests using yarn start test.e2e.

• Run yarn start serve to start nodemon with ts-node, to serve the app.
• The server address will be displayed to you as http://0.0.0.0:3000

• Run yarn start build to generated all JavaScript files from the TypeScript sources (There is also a vscode task for this called build).
• To start the builded app located in dist use yarn start.

• Run typeorm migration:create -n <migration-file-name> to create a new migration file.
• Try typeorm -h to see more useful cli commands like generating migration out of your models.
• To migrate your database run yarn start db.migrate.
• To revert your latest migration run yarn start db.revert.
• Drops the complete database schema yarn start db.drop.

• Run yarn start db.seed to seed your seeds into the database.

To debug your code run yarn start build or hit cmd + b to build your app. Then, just set a breakpoint and hit F5 in your Visual Studio Code.

The route prefix is /api by default, but you can change this in the .env file. The swagger and the monitor route can be altered in the .env file.

Our logger is winston. To log http request we use the express middleware morgan. We created a simple annotation to inject the logger in your service (see example below).

import { Logger, LoggerInterface } from '../../decorators/Logger';

@Service()
export class UserService {

    constructor(
        @Logger(__filename) private log: LoggerInterface
    ) { }

    ...

We use this awesome repository event-dispatch for event dispatching. We created a simple annotation to inject the EventDispatcher in your service (see example below). All events are listed in the events.ts file.

import { events } from '../subscribers/events';
import { EventDispatcher, EventDispatcherInterface } from '../../decorators/EventDispatcher';

@Service()
export class UserService {

    constructor(
        @EventDispatcher() private eventDispatcher: EventDispatcherInterface
    ) { }

    public async create(user: User): Promise<User> {
        ...
        this.eventDispatcher.dispatch(events.user.created, newUser);
        ...
    }

Isn't it exhausting to create some sample data for your database, well this time is over!

How does it work? Just create a factory for your entities (models) and a seed script.

For all entities we want to seed, we need to define a factory. To do so we give you the awesome faker library as a parameter into your factory. Then create your "fake" entity and return it. Those factory files should be in the src/database/factories folder and suffixed with Factory like src/database/factories/UserFactory.ts.

Settings can be used to pass some static value into the factory.

define(User, (faker: typeof Faker, settings: { roles: string[] }) => {
    const gender = faker.random.number(1);
    const firstName = faker.name.firstName(gender);
    const lastName = faker.name.lastName(gender);
    const email = faker.internet.email(firstName, lastName);

    const user = new User();
    user.firstName = firstName;
    user.lastName = lastName;
    user.email = email;
    user.roles = settings.roles;
    return user;
});

Handle relation in the entity factory like this.

define(Pet, (faker: typeof Faker, settings: undefined) => {
    const gender = faker.random.number(1);
    const name = faker.name.firstName(gender);

    const pet = new Pet();
    pet.name = name;
    pet.age = faker.random.number();
    pet.user = factory(User)({ roles: ['admin'] })
    return pet;
});

The seeds files define how much and how the data are connected with each other. The files will be executed alphabetically. With the second function, accepting your settings defined in the factories, you are able to create different variations of entities.

export class CreateUsers implements Seed {

    public async seed(factory: Factory, connection: Connection): Promise<any> {
        await factory(User)({ roles: [] }).createMany(10);
    }

}

Here an example with nested factories. You can use the .map() function to alter the generated value before they get persisted.

...
await factory(User)()
    .map(async (user: User) => {
        const pets: Pet[] = await factory(Pet)().createMany(2);
        const petIds = pets.map((pet: Pet) => pet.Id);
        await user.pets().attach(petIds);
    })
    .createMany(5);
...

To deal with relations you can use the entity manager like this.

export class CreatePets implements SeedsInterface {

    public async seed(factory: FactoryInterface, connection: Connection): Promise<any> {
        const connection = await factory.getConnection();
        const em = connection.createEntityManager();

        await times(10, async (n) => {
            // This creates a pet in the database
            const pet = await factory(Pet)().create();
            // This only returns a entity with fake data
            const user = await factory(User)({ roles: ['admin'] }).make();
            user.pets = [pet];
            await em.save(user);
        });
    }

}

The last step is the easiest, just hit the following command in your terminal, but be sure you are in the projects root folder.

yarn start db.seed

For the GraphQL part we used the library TypeGraphQL to build awesome GraphQL API's.

The context(shown below) of the GraphQL is builded in the graphqlLoader.ts file. Inside of this loader we create a scoped container for each incoming request.

export interface Context {
  requestId: number;
  request: express.Request;
  response: express.Response;
  container: ContainerInstance;
}

For the usage of the DataLoaders we created a annotation, which automatically creates and registers a new DataLoader to the scoped container.

Here is an example of the PetResolver.

import DataLoader from 'dataloader';
import { DLoader } from '../../decorators/DLoader';
    ...
    constructor(
        private petService: PetService,
        @Logger(__filename) private log: LoggerInterface,
        @DLoader(UserModel) private userLoader: DataLoader<string, UserModel>
    ) { }
    ...

Or you could use the repository too.

@DLoader(UserRepository) private userLoader: DataLoader<string, UserModel>

Or even use a custom method of your given repository.

@DLoader(PetRepository, {
    method: 'findByUserIds',
    key: 'userId',
    multiple: true,
}) private petLoader: DataLoader<string, PetModel>

Before you start, make sure you have a recent version of Docker installed

docker build -t <your-image-name> .

The port which runs your application inside Docker container is either configured as PORT property in your .env configuration file or passed to Docker container via environment variable PORT. Default port is 3000.

docker run -d -p <port-on-host>:<port-inside-docker-container> <your-image-name>

docker run -i -t -p <port-on-host>:<port-inside-docker-container> <your-image-name>

docker stop <container-id>

You can get a list of all running Docker container and its ids by following command

docker images

Go to console and press + C at any time.

There are several options to configure your app inside a Docker container

You can use .env file in project root folder which will be copied inside Docker image. If you want to change a property inside .env you have to rebuild your Docker image.

You can also change app configuration by passing environment variables via docker run option -e or --env.

docker run --env DB_HOST=localhost -e DB_PORT=3306

Last but not least you can pass a config file to docker run.

docker run --env-file ./env.list

env.list example:

# this is a comment
DB_TYPE=mysql
DB_HOST=localhost
DB_PORT=3306

• Microsoft/TypeScript-Node-Starter - A starter template for TypeScript and Node with a detailed README describing how to use the two together.
• express-graphql-typescript-boilerplate - A starter kit for building amazing GraphQL API's with TypeScript and express by @w3tecch
• aurelia-typescript-boilerplate - An Aurelia starter kit with TypeScript
• Auth0 Mock Server - Useful for e2e testing or faking an oAuth server

MIT