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wormalize

v0.0.5

Published

Normalizes nested JSON according to a schema

Downloads

68

Readme

Install

$ npm install wormalize

Usage

Using Schema to defines schemas that responding to your model definitions. All the following operations are based on these schemas.

import { Schema } from 'wormalize'

const Person = new Schema('Person')
const Book = new Schema('Book')

Book.define({
  author: Person,
  readers: [Person]
})

Given the following API response consisting of a list of the Book entity (which has already been defined above), the User entity is nested in the author and readers properties, which makes it non-trivial to resolve them into your Redux state.

{
  id: 1,
  author: { id: 1, name: 'Bob' },
  readers: [
    { id: 2, name: 'Jeff' },
    { id: 3, name: 'Tom' }
  ],
}, {
  id: 2,
  author: { id: 2, name: 'Jeff' },
  readers: [
    { id: 3, name: 'Tom' }
  ],
}

wormalize comes to rescue in this case. By providing a schema corresponding to the structure of data, wormalize is able to resolve them to the result and entities properties:

import { wormalize } from 'wormalize'

wormalize([{
  id: 1,
  author: { id: 1, name: 'Bob' },
  readers: [
    { id: 2, name: 'Jeff' },
    { id: 3, name: 'Tom' }
  ],
}, {
  id: 2,
  author: { id: 2, name: 'Jeff' },
  readers: [
    { id: 3, name: 'Tom' }
  ],
}], [Book])

The code above returns:

{
  result: [1, 2],
  entities: {
    Person: {
      1: { id: 1, name: 'Bob' },
      2: { id: 2, name: 'Jeff' },
      3: { id: 3, name: 'Tom' }
    },
    Book: {
      1: { id: 1, author: 1, readers: [2, 3] },
      2: { id: 2, author: 2, readers: [3] }
    }
  }
}

Correspondingly, dewormalize is provided to do the opposite:

import { dewormalize } from 'wormalize'

dewormalize([1, 2], [Book], {
  Person: {
    1: { id: 1, name: 'Bob' },
    2: { id: 2, name: 'Jeff' },
    3: { id: 3, name: 'Tom' }
  },
  Book: {
    1: { id: 1, author: 1, readers: [2, 3] },
    2: { id: 2, author: 2, readers: [3] }
  }
})

The code above returns:

[{
  id: 1,
  author: { id: 1, name: 'Bob' },
  readers: [
    { id: 2, name: 'Jeff' },
    { id: 3, name: 'Tom' }
  ],
}, {
  id: 2,
  author: { id: 2, name: 'Jeff' },
  readers: [
    { id: 3, name: 'Tom' }
  ],
}

The third argument of dewormalize can also be a function, which will be called with two arguments schemaName and id when resolving each data.