rosie

What is rosie?

Rosie is a factory for building JavaScript objects, useful for setting up test data or creating objects with default values.

What are rosie's main functionalities?

Defining a Factory

This feature allows you to define a factory with attributes. In this example, a user factory is created with an 'id' attribute that generates a random number and a 'name' attribute with a default value of 'John Doe'.

const Factory = require('rosie').Factory;
const userFactory = new Factory()
  .attr('id', () => Math.floor(Math.random() * 1000))
  .attr('name', 'John Doe');

Building an Object

This feature allows you to build an object using the defined factory. The 'build' method generates an object with the specified attributes. In this example, it creates a user object with a random 'id' and the name 'John Doe'.

const user = userFactory.build();
console.log(user);

Overriding Attributes

This feature allows you to override default attributes when building an object. In this example, the 'name' attribute is overridden to 'Jane Doe' while the 'id' attribute remains randomly generated.

const customUser = userFactory.build({ name: 'Jane Doe' });
console.log(customUser);

Defining Sequences

This feature allows you to define sequences for attributes. In this example, the 'id' attribute is a sequence that increments with each build, while the 'name' attribute remains 'Sequence User'.

const sequenceFactory = new Factory()
  .sequence('id')
  .attr('name', 'Sequence User');
const user1 = sequenceFactory.build();
const user2 = sequenceFactory.build();
console.log(user1, user2);

Other packages similar to rosie

factory-girl

Factory-girl is another library for setting up JavaScript objects for tests. It offers similar functionality to Rosie, such as defining factories and building objects, but also includes support for associations and adapters for different ORMs.

test-data-bot

Test-data-bot is a library for generating test data with a focus on simplicity and composability. It allows you to define blueprints and build objects, similar to Rosie, but with a more functional approach.

faker

Faker is a library for generating fake data. While it doesn't provide factory definitions like Rosie, it can be used in conjunction with Rosie to generate realistic data for attributes.

README

Rosie

Rosie is a factory for building JavaScript objects, mostly useful for setting up test data. It is inspired by factory_bot.

To use Rosie you first define a factory. The factory is defined in terms of attributes, sequences, options, callbacks, and can inherit from other factories. Once the factory is defined you use it to build objects.

Usage

There are two phases of use:

1. Factory definition
2. Object building

Factory Definition: Define your factory, giving it a name and optionally a constructor function (game in this example):

Factory.define('game')
  .sequence('id')
  .attr('is_over', false)
  .attr('created_at', () => new Date())
  .attr('random_seed', () => Math.random())

  // Default to two players. If players were given, fill in
  // whatever attributes might be missing.
  .attr('players', ['players'], (players) => {
    if (!players) {
      players = [{}, {}];
    }
    return players.map((data) => Factory.attributes('player', data));
  });

Factory.define('player')
  .sequence('id')
  .sequence('name', (i) => {
    return 'player' + i;
  })

  // Define `position` to depend on `id`.
  .attr('position', ['id'], (id) => {
    const positions = ['pitcher', '1st base', '2nd base', '3rd base'];
    return positions[id % positions.length];
  });

Factory.define('disabled-player').extend('player').attr('state', 'disabled');

Object Building: Build an object, passing in attributes that you want to override:

const game = Factory.build('game', { is_over: true });
// Built object (note scores are random):
//{
//    id:           1,
//    is_over:      true,   // overriden when building
//    created_at:   Fri Apr 15 2011 12:02:25 GMT-0400 (EDT),
//    random_seed:  0.8999513240996748,
//    players: [
//                {id: 1, name:'Player 1'},
//                {id: 2, name:'Player 2'}
//    ]
//}

For a factory with a constructor, if you want just the attributes:

Factory.attributes('game'); // return just the attributes

Programmatic Generation of Attributes

You can specify options that are used to programmatically generate the attributes:

const moment = require('moment');

Factory.define('matches')
  .attr('seasonStart', '2016-01-01')
  .option('numMatches', 2)
  .attr('matches', ['numMatches', 'seasonStart'], (numMatches, seasonStart) => {
    const matches = [];
    for (const i = 1; i <= numMatches; i++) {
      matches.push({
        matchDate: moment(seasonStart).add(i, 'week').format('YYYY-MM-DD'),
        homeScore: Math.floor(Math.random() * 5),
        awayScore: Math.floor(Math.random() * 5),
      });
    }
    return matches;
  });

Factory.build('matches', { seasonStart: '2016-03-12' }, { numMatches: 3 });
// Built object (note scores are random):
//{
//  seasonStart: '2016-03-12',
//  matches: [
//    { matchDate: '2016-03-19', homeScore: 3, awayScore: 1 },
//    { matchDate: '2016-03-26', homeScore: 0, awayScore: 4 },
//    { matchDate: '2016-04-02', homeScore: 1, awayScore: 0 }
//  ]
//}

In the example numMatches is defined as an option, not as an attribute. Therefore numMatches is not part of the output, it is only used to generate the matches array.

In the same example seasonStart is defined as an attribute, therefore it appears in the output, and can also be used in the generator function that creates the matches array.

Batch Specification of Attributes

The convenience function attrs simplifies the common case of specifying multiple attributes in a batch. Rewriting the game example from above:

Factory.define('game')
  .sequence('id')
  .attrs({
    is_over: false,
    created_at: () => new Date(),
    random_seed: () => Math.random(),
  })
  .attr('players', ['players'], (players) => {
    /* etc. */
  });

Post Build Callback

You can also define a callback function to be run after building an object:

Factory.define('coach')
  .option('buildPlayer', false)
  .sequence('id')
  .attr('players', ['id', 'buildPlayer'], (id, buildPlayer) => {
    if (buildPlayer) {
      return [Factory.build('player', { coach_id: id })];
    }
  })
  .after((coach, options) => {
    if (options.buildPlayer) {
      console.log('built player:', coach.players[0]);
    }
  });

Factory.build('coach', {}, { buildPlayer: true });

Multiple callbacks can be registered, and they will be executed in the order they are registered. The callbacks can manipulate the built object before it is returned to the callee.

If the callback doesn't return anything, rosie will return build object as final result. If the callback returns a value, rosie will use that as final result instead.

Associate a Factory with an existing Class

This is an advanced use case that you can probably happily ignore, but store this away in case you need it.

When you define a factory you can optionally provide a class definition, and anything built by the factory will be passed through the constructor of the provided class.

Specifically, the output of .build is used as the input to the constructor function, so the returned object is an instance of the specified class:

class SimpleClass {
  constructor(args) {
    this.moops = 'correct';
    this.args = args;
  }

  isMoopsCorrect() {
    return this.moops;
  }
}

testFactory = Factory.define('test', SimpleClass).attr('some_var', 4);

testInstance = testFactory.build({ stuff: 2 });
console.log(JSON.stringify(testInstance, {}, 2));
// Output:
// {
//   "moops": "correct",
//   "args": {
//     "stuff": 2,
//     "some_var": 4
//   }
// }

console.log(testInstance.isMoopsCorrect());
// Output:
// correct

Mind. Blown.

Usage in Node.js

To use Rosie in node, you'll need to import it first:

import { Factory } from 'rosie';
// or with `require`
const Factory = require('rosie').Factory;

You might also choose to use unregistered factories, as it fits better with node's module pattern:

// factories/game.js
import { Factory } from 'rosie';

export default new Factory().sequence('id').attr('is_over', false);
// etc

To use the unregistered Game factory defined above:

import Game from './factories/game';

const game = Game.build({ is_over: true });

A tool like babel is currently required to use this syntax.

You can also extend an existing unregistered factory:

// factories/scored-game.js
import { Factory } from 'rosie';
import Game from './game';

export default new Factory().extend(Game).attrs({
  score: 10,
});

Rosie API

As stated above the rosie factory signatures can be broken into factory definition and object creation.

Additionally factories can be defined and accessed via the Factory singleton, or they can be created and maintained by the callee.

Factory declaration functions

Once you have an instance returned from a Factory.define or a new Factory() call, you do the actual of work of defining the objects. This is done using the methods below (note these are typically chained together as in the examples above):

Factory.define

• Factory.define(factory_name) - Defines a factory by name. Return an instance of a Factory that you call .attr, .option, .sequence, and .after on the result to define the properties of this factory.
• Factory.define(factory_name, constructor) - Optionally pass a constuctor function, and the objects produced by .build will be passed through the constructor function.

instance.attr:

Use this to define attributes of your objects

• instance.attr(attribute_name, default_value) - attribute_name is required and is a string, default_value is the value to use by default for the attribute
• instance.attr(attribute_name, generator_function) - generator_function is called to generate the value of the attribute
• instance.attr(attribute_name, dependencies, generator_function) - dependencies is an array of strings, each string is the name of an attribute or option that is required by the generator_function to generate the value of the attribute. This list of dependencies will match the parameters that are passed to the generator_function

instance.attrs:

Use this as a convenience function instead of calling instance.attr multiple times

• instance.attrs({attribute_1: value_1, attribute_2: value_2, ...}) - attribute_i is a string, value_i is either an object or generator function.

See instance.attr above for details. Note: there is no way to specify dependencies using this method, so if you need that, you should use instance.attr instead.

instance.option:

Use this to define options. Options do not appear in the generated object, but they can be used in a generator_function that is used to configure an attribute or sequence that appears in the generated object. See the Programmatic Generation Of Attributes section for examples.

• instance.option(option_name, default_value) - option_name is required and is a string, default_value is the value to use by default for the option
• instance.option(option_name, generator_function) - generator_function is called to generate the value of the option
• instance.option(option_name, dependencies, generator_function) - dependencies is an array of strings, each string is the name of an option that is required by the generator_function to generate the value of the option. This list of dependencies will match the parameters that are passed to the generator_function

instance.sequence:

Use this to define an auto incrementing sequence field in your object

• instance.sequence(sequence_name) - define a sequence called sequence_name, set the start value to 1
• instance.sequence(sequence_name, generator_function) - generator_function is called to generate the value of the sequence. When the generator_function is called the pre-incremented sequence number will be passed as the first parameter, followed by any dependencies that have been specified.
• instance.sequence(sequence_name, dependencies, generator_function) - dependencies is an array of strings, each string is the name of an attribute or option that is required by the generator_function to generate the value of the option. The value of each specified dependency will be passed as parameters 2..N to the generator_function, noting again that the pre-incremented sequence number is passed as the first parameter.

instance.after:

• instance.after(callback) - register a callback function that will be called at the end of the object build process. The callback is invoked with two params: (build_object, object_options). See the Post Build Callback section for examples.

Object building functions

build

Returns an object that is generated by the named factory. attributes and options are optional parameters. The factory_name is required when calling against the rosie Factory singleton.

• Factory.build(factory_name, attributes, options) - when build is called against the rosie Factory singleton, the first param is the name of the factory to use to build the object. The second is an object containing attribute override key value pairs, and the third is a object containing option key value pairs
• instance.build(attributes, options) - when build is called on a factory instance only the attributes and options objects are necessary

buildList

Identical to .build except it returns an array of built objects. size is required, attributes and options are optional

• Factory.buildList(factory_name, size, attributes, options) - when buildList is called against the rosie Factory singleton, the first param is the name of the factory to use to build the object. The attributes and options behave the same as the call to .build.
• instance.buildList(size, attributes, options) - when buildList is called on a factory instance only the size, attributes and options objects are necessary (strictly speaking only the size is necessary)

Testing

You may find resetAll useful when working with testing frameworks such as Jest. It resets any build state, such as sequences, to their original values:

import Factory from 'rosie';

beforeEach(() => {
  Factory.resetAll();
});

Or call reset on a specific factory:

import Game from './game';

beforeEach(() => {
  Game.reset();
});

Contributing

1. Fork it
2. Create your feature branch (git checkout -b my-new-feature)
3. Install the test dependencies (yarn install - requires NodeJS and yarn)
4. Make your changes and make sure the tests pass (yarn test)
5. Commit your changes (git commit -am 'Added some feature')
6. Push to the branch (git push origin my-new-feature)
7. Create new Pull Request

Credits

Thanks to Daniel Morrison for the name and Jon Hoyt for inspiration and brainstorming the idea.