Wajez Utils

A bunch of handy functions used to build other Wajez packages.

Installation

yarn add wajez-utils

or

npm i --save wajez-utils

Generating Random Data

generate :: Schema -> (() -> *)

The function generate takes a Schema and returns a function which when called will return some random data based on the given schema.

Schemas can be defined using the following functions:

string :: {minLength: Number, maxLength: Number, match: Regex, choices: [String]} -> Schema
number :: {min: Number, max: Number} -> Schema
boolean :: () -> Schema
buffer :: () -> Schema
date :: {min: Date, max: Date} -> Schema
array :: {schema: Schema, minLength: Number, maxLangth: Number} -> Schema
object :: {*: Schema} -> Schema

Here are some examples:

const U = require('wajez-utils')

// Generate Strings
const anyString = U.generate(U.string())
const yesOrNo = U.generate(U.string({choices: ['yes', 'no']}))
const email = U.generate(U.string({match: /[a-z0-9._+-]{1,20}@[a-z0-9]{3,15}\.[a-z]{2,4}/}))
const lessThen20Chars = U.generate(U.string({maxLength: 20}))

console.log(anyString())
// @RAJPF1y#FqM%!U(8ESsnr@PMM*c03NN^GRFwPY6*hhWNuwf
console.log(yesOrNo())
// no
console.log(email())
// h8mtue4vwr9@1nop1vu72qg.spjm
console.log(email())
// fbv46d8d_xvdg6@upuc.cf
console.log(lessThen20Chars())
// ^CRYr@bP

// Generate Numbers
const anyNumber = U.generate(U.number())
const rating = U.generate(U.number({min: 1, max: 5}))

console.log(anyNumber())
// -46
console.log(rating())
// 4

// Generate Booleans
const anyBoolean = U.generate(U.boolean())
console.log(anyBoolean())
// true
console.log(anyBoolean())
// false

// Generate Dates
const anyDate = U.generate(U.date())
const inTheFuture = U.generate(U.date({min: new Date()}))

console.log(anyDate())
// 2018-10-11T02:09:58.000Z
console.log(inTheFuture())
// 2018-10-31T01:46:48.000Z

// Generate Buffers
const anyBuffer = U.generate(U.buffer())
console.log(anyBuffer())
// <Buffer 4d 6f 26 40 69 29 26 4c 77 28 44 58 52 23 74>

// Generate unique values
const uniqueNumber = U.generate(U.unique(U.number()))
uniqueNumber() // 15
uniqueNumber() // -35
uniqueNumber() // 49

// Generate Objects & Arrays
const person = U.object({
  name: U.string({maxLength: 50}),
  age: U.number({min: 0})
})

const project = U.object({
  name: U.string({maxLength: 25}),
  language: U.string({choices: ['javascript', 'c++', 'php', 'python']})
})

// schemas are composable!
const developer = U.object({
  ... person.fields,
  projects: U.array(project, {maxLength: 10})
})

const newDeveloper = U.generate(developer)

console.log(JSON.stringify(newDeveloper()))
// {
//   "name":"9dMK&KKg@&mKPHDr6L]Md6HL$jqGAA]Z",
//   "age":-741,
//   "projects": [{
//     "name":"xZL2YPl9eW]dsKYOQZB",
//     "language":"python"
//   },{
//     "name":")jE&17",
//     "language":"php"
//   }]
// }

Generating Mongoose Model

The schema of a mongoose model can be defined using the model function:

model :: MongooseModel -> Schema

const mongoose = require('mongoose')
const {Schema} = mongoose
const U = require('wajez-utils')

const Username = {
  type: String,
  match: /[a-zA-Z0-9-_\.]{5,20}/
}

const User = mongoose.model('User', new Schema({
  name: {
    type: String,
    minLength: 3,
    maxLength: 25,
    match: /^[a-z ]+$/
  },
  picture: Buffer,
  since: {
    type: Date,
    max: new Date()
  },
  rating: {
    type: Number,
    min: 0,
    max: 5
  },
  links: {
    facebook: Username,
    twitter: Username,
    github: Username
  }
}))

const generateUser = U.generate(U.model(User))

console.log(generateUser())
// {
//   name: 'gwyvehx raxilunaetkwdzwdwcpwdrpqvp mwpbcxwpku',
//   picture: <Buffer 2a 42 78 71 55 57 38 31 79 30 34 49 39 4b 36 70>,
//   since: 2018-02-12T04:31:15.000Z,
//   rating: 2,
//   links: {
//     facebook: 'VeBL6e-pU',
//     twitter: 'gKGLqLV',
//     github: 'vhIC6BDLvNf4MuHOj_'
//   }
// }

Seeding a Mongoose Database

The function seed can be used to fill a mongodb database with random data based on mongoose models.

seed :: {model1: Number, model2: Number, ...} -> [Relation] -> Promise(*)

The first argument of seed is an object associating each model name to the number of records to generate and insert. The second argument is an array of relations.

Relations can be defined using the functions oneOne, oneMany and manyMany.

oneOne(sourceModel, sourceField, targetModel, targetField)
oneMany(sourceModel, sourceField, targetModel, targetField)
manyMany(sourceModel, sourceField, targetModel, targetField)

Here is a full example

const mongoose = require('mongoose')
const {Schema} = mongoose
const {seed, oneOne, oneMany, manyMany} = require('./src')

mongoose.Promise = global.Promise
mongoose.connect(`mongodb://localhost/wajez-utils`)

const User = mongoose.model('User', new Schema({
  posts: [{
    type: Schema.Types.ObjectId,
    ref: 'Post'
  }],
  profile: {
    type: Schema.Types.ObjectId,
    ref: 'Profile'
  },
  name: String
}))

const Profile = mongoose.model('Profile', new Schema({
  picture: Buffer
}))

const Post = mongoose.model('Post', new Schema({
  writer: {
    type: Schema.Types.ObjectId,
    ref: 'User'
  },
  tags: [{
    type: Schema.Types.ObjectId,
    ref: 'Tag'
  }],
  title: String,
  content: String
}))

const Tag = mongoose.model('Tag', new Schema({
  name: String,
  posts: [{
    type: Schema.Types.ObjectId,
    ref: 'Post'
  }]
}))

seed({
  User: 3,
  Profile: 3,
  Post: 5,
  Tag: 4
}, [
  oneOne('User', 'profile', 'Profile', null),
  oneMany('User', 'posts', 'Post', 'writer'),
  manyMany('Post', 'tags', 'Tag', 'posts')
])
.then(data => {
  console.log(JSON.stringify(data))
})

// {
//   "User": [
//     {
//       "posts": [
//         "5aed2cd384702a2207c3e2ed",
//         "5aed2cd384702a2207c3e2ee",
//         "5aed2cd384702a2207c3e2ef"
//       ],
//       "_id": "5aed2cd384702a2207c3e2e7",
//       "profile": "5aed2cd384702a2207c3e2ea",
//       "name": "7MthPn7WA)!3y@SjHigl]vFAK&xRo9FfsdMF)dK]#t#HiF@^s^wvFns",
//       "__v": 0
//     },
//     {
//       "posts": [
//         "5aed2cd384702a2207c3e2f0",
//         "5aed2cd384702a2207c3e2f1"
//       ],
//       "_id": "5aed2cd384702a2207c3e2e8",
//       "profile": "5aed2cd384702a2207c3e2eb",
//       "name": "B]([^8*k6padMySnAI1MS%FX^LoLXAHbE&S)OmXw",
//       "__v": 0
//     },
//     {
//       "posts": [],
//       "_id": "5aed2cd384702a2207c3e2e9",
//       "profile": "5aed2cd384702a2207c3e2ec",
//       "name": "!w3I84iTXYtSJdmVJX]c1[d6#*16nd1mqMiDP)g^&o6R053RnNcyxYr0c*5^X18St6RsquCAorFq)KlHWs",
//       "__v": 0
//     }
//   ],
//   "Profile": [
//     {
//       "_id": "5aed2cd384702a2207c3e2ea",
//       "picture": {
//         "type": "Buffer",
//         "data": [52, 53, 97, 105, 67, 114, 42, 99, 41, 118, 40, 38, 42, 35, 78]
//       },
//       "__v": 0
//     },
//     {
//       "_id": "5aed2cd384702a2207c3e2eb",
//       "picture": {
//         "type": "Buffer",
//         "data": [51, 98, 78, 33, 76, 86]
//       },
//       "__v": 0
//     },
//     {
//       "_id": "5aed2cd384702a2207c3e2ec",
//       "picture": {
//         "type": "Buffer",
//         "data": [69, 69, 48, 37, 66, 87, 33, 83, 93, 89, 38, 67, 82]
//       },
//       "__v": 0
//     }
//   ],
//   "Post": [
//     {
//       "tags": [
//         "5aed2cd384702a2207c3e2f2",
//         "5aed2cd384702a2207c3e2f4"
//       ],
//       "_id": "5aed2cd384702a2207c3e2ed",
//       "writer": "5aed2cd384702a2207c3e2e7",
//       "title": "3F]K8JQnIXsne(whhGn%U*YyrA0vC^pC%pxhKwGU]FAivdhDznMri*Ip&]HT1nY[%DpDegCoBW",
//       "content": "rp",
//       "__v": 0
//     },
//     {
//       "tags": [
//         "5aed2cd384702a2207c3e2f3",
//         "5aed2cd384702a2207c3e2f5"
//       ],
//       "_id": "5aed2cd384702a2207c3e2ee",
//       "writer": "5aed2cd384702a2207c3e2e7",
//       "title": "^8Nkp8B)JHu(YV0s**InJof@J!JGBhlYy6wuQCc#sb^d[K)C]b8jg)PnEDxF#[JFT#]ABT4x%vgWw8CWssemwvmODFSJVdd",
//       "content": "D3cdhdg)hO$@ydIx)T!!St1vy!BfYP1TK2A5$#$g*@o)Qk(xF78a8V5H(QdgokP08&A(mf*tmER6PzoNi(6CeXxn$W%V",
//       "__v": 0
//     },
//     {
//       "tags": [
//         "5aed2cd384702a2207c3e2f2",
//         "5aed2cd384702a2207c3e2f3"
//       ],
//       "_id": "5aed2cd384702a2207c3e2ef",
//       "writer": "5aed2cd384702a2207c3e2e7",
//       "title": "C[dbHT!DaP9KTi3qWpbWYLqIMzZOJE9p[](M0cNnDmnc7h%p#)vzcU%O%l2Dq8YIx0f5eLZe(vFFV#72k0dP6",
//       "content": "(#q#xY)osPBQOTb27h$jPYh[hq38lm37XO$ZZh&zb!zF!2^",
//       "__v": 0
//     },
//     {
//       "tags": [
//         "5aed2cd384702a2207c3e2f2",
//         "5aed2cd384702a2207c3e2f3",
//         "5aed2cd384702a2207c3e2f4"
//       ],
//       "_id": "5aed2cd384702a2207c3e2f0",
//       "writer": "5aed2cd384702a2207c3e2e8",
//       "title": "xGVK&Z%Pf%t@kkozDez[VTedKekVqdnHFj]JnuD@FbrW2R9dhLGIu(oShe9ngv]RY0sV4l!u&tXNh%S@Bl8n**)A0ArOblrEh",
//       "content": "tcNQ$I4oh#fqv2xrh]ioCMQKYB8eXI#IA9xuz4MVDi4*(HKhBe8SIWxTglIR[DAkwWB",
//       "__v": 0
//     },
//     {
//       "tags": [
//         "5aed2cd384702a2207c3e2f2",
//         "5aed2cd384702a2207c3e2f3",
//         "5aed2cd384702a2207c3e2f4"
//       ],
//       "_id": "5aed2cd384702a2207c3e2f1",
//       "writer": "5aed2cd384702a2207c3e2e8",
//       "title": "Lsfm!l)QzkeBUnKBnKgrQ4EpeEMPuT@1GRL$(x#2W]WgaS0TQsuuoIgVnJIa3lJIRFWoVXD(dNjn6fDQ0kvRc&1oEqm!09",
//       "content": "iN7J[oJh7TDI#&*XX6qK7no!9^OwcQdGlMzcjueDVKwQQrAJIIXENvgHHlx3gfLjo%)&btAqGfLJqz",
//       "__v": 0
//     }
//   ],
//   "Tag": [
//     {
//       "posts": [
//         "5aed2cd384702a2207c3e2ed",
//         "5aed2cd384702a2207c3e2ef",
//         "5aed2cd384702a2207c3e2f0",
//         "5aed2cd384702a2207c3e2f1"
//       ],
//       "_id": "5aed2cd384702a2207c3e2f2",
//       "name": "MhT4[w1cVzrNc(%cgJq%A*GknXU%[r7y%#vi$5MZqQTOwKgEAwno76HDoM5V",
//       "__v": 0
//     },
//     {
//       "posts": [
//         "5aed2cd384702a2207c3e2ee",
//         "5aed2cd384702a2207c3e2ef",
//         "5aed2cd384702a2207c3e2f0",
//         "5aed2cd384702a2207c3e2f1"
//       ],
//       "_id": "5aed2cd384702a2207c3e2f3",
//       "name": "BQl2c9ozL39^J$Re@H*ida&!5]V",
//       "__v": 0
//     },
//     {
//       "posts": [
//         "5aed2cd384702a2207c3e2ed",
//         "5aed2cd384702a2207c3e2f0",
//         "5aed2cd384702a2207c3e2f1"
//       ],
//       "_id": "5aed2cd384702a2207c3e2f4",
//       "name": "vgsHTSPoivaAb^)(vE!33G)P8CdHHeNUiA0DdY9a$JiOKHH!5YZCACC3Y&zHbr64xECMdGxf5]dPi[H",
//       "__v": 0
//     },
//     {
//       "posts": [
//         "5aed2cd384702a2207c3e2ee"
//       ],
//       "_id": "5aed2cd384702a2207c3e2f5",
//       "name": "f#(BSFM)Ez749b7IJW5wyyuu$jVgcMRd3NQ7OX0RYXTYoAy",
//       "__v": 0
//     }
//   ]
// }

Converting Data

The function applyConverter can be used to apply a converter on data. A converter is an object which specifies what function to apply on each property of the given data.

We will start with a full example, then explain different ways to use applyConverter.

Full Example

Let's assume I have the following user infos returned from database

const user = {
  _id: 'xxxxxxx',
  _v: 1,
  username: 'webneat',
  password: 'myVerySecurePassword :P',
  profile: {
    _id: 'yyyyyyy',
    _v: 1,
    firstname: 'Amine',
    lastname: 'Ben hammou',
    picture: 'some-url',
  },
  repos: [
    'webNeat/lumen-generators',
    'tarsana/command',
    'wajez/api'
  ]
}

I want to transform it into something like this

{
  username: 'webneat',
  fullName: 'Amine Ben hammou',
  picture: 'some-url',
  repos: [
    {
      name: 'lumen-generators',
      url: 'https://github.com/webNeat/lumen-generators'
    },
    {
      name: 'command',
      url: 'https://github.com/tarsana/command'
    },
    {
      name: 'api',
      url: 'https://github.com/wajez/api'
    }
  ]
}

I would simply do the following

const {applyConverter, I} = require('./src')

const fullName = ({profile: {firstname, lastname}}) => firstname + ' ' + lastname
const repo = name => ({
  name: name.split('/')[1],
  url: `https://github.com/${name}`
})

const convert = applyConverter({
  username: I,
  fullName: fullName,
  picture: _ => _.profile.picture,
  repos: repo
})

console.log(convert(user))
// {
//   username: 'webneat',
//   fullName: 'Amine Ben hammou',
//   picture: 'some-url',
//   repos: [
//     { name: 'lumen-generators', url: 'https://github.com/webNeat/lumen-generators' },
//     { name: 'command', url: 'https://github.com/tarsana/command' },
//     { name: 'api', url: 'https://github.com/wajez/api' }
//   ]
// }

Converter can be a Function

When given a Function as converter, applyConverter will simply apply that function on the value and return the result.

applyConverter(x => x + 1, 5) // 6

Converter can be an Object

When given an object of functions, it will try to apply each function to the corresponding attribute on the value.

const addOne = _ => _ + 1
const triple = _ => _ * 3

const value = { x: 1, y: 2, z: 3 }

applyConverter({ x: triple, y: addOne }, value) // {x: 3, y: 3}

Note that since the key z is not mentioned in the converter, it's not included in the result.

Converter maps over Arrays

When applying a converter to an array, it's applied to each item of the array

const sum = ({x, y}) => x + y

const values = [
  { x: 1, y: 2 },
  { x: 3, y: 4 },
  { x: 5, y: 6 },
]

applyConverter({a: sum}, values) // [{a: 3}, {a: 7}, {a: 11}]

An Array of converters is a converter

const addOne = _ => _ + 1
const triple = _ => _ * 3
const sum = ({x, y}) => x + y

const value = {x: 1, y: 2}

applyConverter(
  [
    {x: addOne, y: triple},
    sum
  ],
  value
) // 8

Converters are recursive

When defining a converter as object, are applied as converters, so they can be functions, objects of converters or array of converters.

const value = {
  x: {
    a: 1,
    y: {
      z: 2
    }
  }
}

applyConverter({x: {y: {z: addOne}}}, value) // {x: {y: {z: 3}}}

Contributing

Feel free to create issues and/or submit Pull Requests!

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
src		src
test		test
.editorconfig		.editorconfig
.gitignore		.gitignore
.travis.yml		.travis.yml
LICENSE.md		LICENSE.md
README.md		README.md
docker-compose.yml		docker-compose.yml
jest.config.js		jest.config.js
package-lock.json		package-lock.json
package.json		package.json
types.md		types.md

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Repository files navigation

Wajez Utils

Contents

Installation

Generating Random Data

Generating Mongoose Model

Seeding a Mongoose Database

Converting Data

Full Example

Converter can be a Function

Converter can be an Object

Converter maps over Arrays

An Array of converters is a converter

Converters are recursive

Contributing

About

Releases 3

Packages

Contributors 2

Languages

License

wajez/utils

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Repository files navigation

Wajez Utils

Contents

Installation

Generating Random Data

Generating Mongoose Model

Seeding a Mongoose Database

Converting Data

Full Example

Converter can be a Function

Converter can be an Object

Converter maps over Arrays

An Array of converters is a converter

Converters are recursive

Contributing

About

Resources

License

Stars

Watchers

Forks

Releases 3

Packages 0

Contributors 2

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