npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

@ark7/model

v2.0.48

Published

Ark7 model used for both backend and frontend

Downloads

432

Readme

@ark7/model

One major issue that often results in numerous bugs is the replication of identical models. To mitigate this problem, the @ark7/model library offers a model class layer that can be utilized across various environments, ensuring consistent logic throughout.

Table of Contents

Installation

Install the dependencies package:

$ npm install @ark7/model

Add transform plugin to tsconfig.json:

// tsconfig.json

{
  ...
  "plugins": [{
    "transform": "@ark7/model/transformer"
  }],
}

Quick Start

Define a Model

Models are defined by decorating the class with A7Model, or using A7Model.provide(ModelClass).

// models/users.ts

import { A7Model } from '@ark7/model';

@A7Model({})
export class Name {

  readonly first: string;

  last: string;
}

export enum Gender {
  MALE = 'MALE',
  FEMALE = 'FEMALE',
}

@A7Model({})
export class User {

  email: string;

  name?: Name;

  gender?: Gender;
}

// Another way to register User model:
//
// A7Model.provide(User)

Model

Model Metadata

Once the model is defined, class metadata, field metadata, and model schema are retrievable through A7Model.getMetadata(ModelClass). For example:

@A7Model({})
class Name {
  first: string;
  last: string;
}

A7Model.getMetadata(Name).should.be.deepEqual({
  modelClass: Name.prototype.constructor,
  superClass: null,
  configs: {
    schema: {
      name: 'Name',
      props: [
        {
          modifier: 'PUBLIC',
          name: 'first',
          optional: false,
          readonly: false,
          type: 'string',
        },
        {
          modifier: 'PUBLIC',
          name: 'last',
          optional: false,
          readonly: false,
          type: 'string',
        },
      ],
    },
  },
  fields: {},
  name: 'Name',
});

Model Definition

Model level configuration can be injected by either @A7Model() or @Config():

@A7Model<ModelConfig>({ foo: 'bar' })
class MCModel { }

interface ModelConfig {
  foo: string;
}

(A7Model.getMetadata(MCModel).configs as ModelConfig).foo.should.be.equal(
  'bar'
);

Discrimination

@A7Model({
  discriminatorKey: 'kind',
})
class Event extends StrictModel {
  kind?: string;
}

@A7Model({})
class MouseEvent extends Event {
  foo: string;
}

const ins = EventModel.modelize({
  kind: 'MouseEvent',
  foo: 'bar',
} as any);

ins.should.be.instanceof(MouseEvent);

const ins2 = MouseEvent.modelize({
  foo: 'bar',
});

ins2.should.be.instanceof(MouseEvent);

ins2.toObject().should.be.deepEqual({
  kind: 'MouseEvent',
  foo: 'bar',
});

Mixin

A model can mixin other models.

@A7Model({})
class M1 {
  foo: string;
}

@A7Model({})
class M2 {
  bar: string;
}

@A7Model({})
@Mixin(M1)
@Mixin(M2)
class CombinedModel extends Model {}

interface CombinedModel extends M1, M2 {}

Field

Required v.s. Optional

The required modifier can be declared on field metadata or schema level:

class Name {
  first: string;  // schema level required

  @Required()     // field metadata level required
  last: string;   // schema level required
}

Sometimes, the two levels may have conflict opinions:

class Name {
  first?: string;  // schema level optional

  @Required(false) // field metadata level: optional
  last: string;    // schema level: required
}

It depends on the adaptor to deal with those conflicts.

Readonly

The readonly modifier can be declared on field metadata or schema level:

class Name {
  readonly first: string;  // schema level readonly

  @Readonly()     // field metadata level readonly
  last: string;   // schema level non-readonly
}

It depends on the adaptor to deal with the conflicts.

Default

The default value can be set on field metadata:

class Name {
  @Default('foo')
  first: string;

  @Default(() => 'bar')
  last: string;
}

Model.modelize()

import { A7Model, StrictModel } from '@ark7/model';

@A7Model({})
class Name extends StrictModel {
  first: string;
  last: string;
}

@A7Model({})
export class User extends StrictModel {
  email: string;
  name?: Name;
}

const user = User.modelize({
  email: '[email protected]',
  name: {
    first: 'foo',
    last: 'bar',
  }
});

user.should.be.instanceof(User);
user.name.should.be.instanceof(Name);

.toObject() & .toJSON()

import { A7Model, StrictModel } from '@ark7/model';

@A7Model({})
class Name extends StrictModel {
  first: string;
  last: string;
}

@A7Model({})
export class User extends StrictModel {
  email: string;
  name?: Name;
}

const user = User.modelize({
  email: '[email protected]',
  name: {
    first: 'foo',
    last: 'bar',
  }
});

user.toObject().should.be.instanceof({
  email: '[email protected]',
  name: {
    first: 'foo',
    last: 'bar',
  }
});

Data Level

Each field will be assigned a level number. The higher the level number, the more restrict or confidential the field is. We have pre-defined five data levels:

1. BASIC (10) - The basic field that will be used in the most scenarios.
                Usually, presented when it's referenced by other model.

2. SHORT (20) - The fields that are useful for displaying as a list or
                table. Usually, presented in the find or search endpoints.

3. DETAIL (30) - The fields that contains detail information. Usually,
                 presented in the get endpoints.

4. CONFIDENTIAL (40) - The fields that contains sensitive information.
                       Usually, not returning to the client or only to
                       admins with special privileges.

5. NEVER (1000) - The fields that are never returns.

Projection

We can do the projection by providing a filter level. Any fields with level numbers that are smaller or equal to the filter level will be projected. You can tune the filter level by specifying the passLevelMap in the option.

@A7Model({})
class Name extends StrictModel {
  @Basic() first: string;
  @Basic() last: string;
}

@A7Model({})
export class User extends StrictModel {
  @Basic() email: string;
  @Short() name?: Name;
}

const user = User.modelize({
  email: '[email protected]',
  name: {
    first: 'foo',
    last: 'bar',
  }
});

user.toObject({ level: DefaultDataLevel.BASIC }).should.be.instanceof({
  email: '[email protected]',
});

user.toObject({ level: DefaultDataLevel.SHORT }).should.be.instanceof({
  email: '[email protected]',
  name: {
    first: 'foo',
    last: 'bar',
  },
});

Population

For a reference field, when the filter level is greater than the populateLevel specified by the option, the field will be populated.

@A7Model({})
export class User extends Model {
  @Virtual({ ... })
  @Level({ populateLevel: DefaultDataLevel.DETAIL })
  posts: Post[];
}

@A7Model({})
export class Post extends Model {
  author: Ref<User>;
}

Attachment

Sometimes, we need to attach metadata to an instance.

import { A7Model, StrictModel } from '@ark7/model';

@A7Model({})
class Name extends StrictModel {
  first: string;
  last: string;
}

const name = Name.modelize({ first: 'foo', last: 'bar'});

name.$attach({ hello: 'world' });

name.$attach().should.be.deepEqual({
  __$attach: true,
  hello: 'world',
});

// This won't affect toObject() or toJSON():
name.toObject().should.be.deepEqual({
  first: 'foo',
  last: 'bar',
});

Built-in Types

Email

Email address.

UUID

UUID.