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

json-valid-3k

v1.4.0

Published

A simple tool for validating complex JSON structures

Downloads

25

Readme

json-valid-3k

Validate or generate JSON-like structures with schemas

Usage - simple

import { validate } from 'json-valid-3k'

const data = {
  arr: [],
  num: 3,
  str: 'High quality string',
}
const schema = {
  arr: 'Array',
  num: 'Number',
  str: 'String',
}

const test = validate(data, schema)

Validation response object

{
  valid: boolean
  tree: { YOUR_OBJECT_PROPS / ERRORS },
  errors: Map<K, V>  // A flat list displaying the exact depth position of each failed value
  dropped: Map<K, V> // Shows the errors for silently dropped items (silentDrop: true)
}

The tree object stores your output. It contains the relevant value OR error for each key:value pair. Discards everything not in the schema. The idea is that if you really care about your data integrity, than there's not reason not to use it as opposed to dragging everything esle from your source object.

 

Usage - expanded

import { validate } from 'json-valid-3k'
// OR
// const { validate } = require('json-valid-3k')

const CFG_SIMPLE = {
  arr: [],                            // 01. Array
  boo: true,                          // 02. Boolean
  elm: document.createElement('div'), // 03. Element
  fun: () => {},                      // 04. Function
  num: 3,                             // 05. Number
  obj: {},                            // 06. Object
  str: 'High quality string',         // 07. String
  url: 'https://some.place.com',      // 08. URL
  mail: '[email protected]',                      // 09. ValidEmail
  ip: '192.168.0.251',                // 10. ValidIP
  def: null,                          // 11. null
}
const SCHEMA_SIMPLE = {
  arr: 'Array',       // { type: 'Array' },
  boo: 'Boolean',     // { type: 'Boolean' },
  elm: 'Element',     // { type: 'Element' },
  fun: 'Function',    // { type: 'Function' },
  num: 'Number',      // { type: 'Number' },
  obj: 'Object',      // { type: 'Object' },
  str: 'String',      // { type: 'String' },
  url: 'URL',         // { type: 'URL' },
  mail: 'ValidEmail', // { type: 'ValidEmail' },
  ip: 'ValidIP',      // { type: 'ValidIP' },
  def: null,          // { type: null },
}

const test = validate(CFG_SIMPLE, SCHEMA_SIMPLE)

 

Types

Predefined Types

01. Array
02. Boolean
03. Element
04. Function
05. Number
06. Object
07. String
08. URL
09. ValidEmail
10. ValidIP

Custom types

Adding custom types is simple. This is exactly what json-validate-3k is using internally for its predefined types.

import { validate, types } from 'json-valid-3k'

types.set('LongString', (v) => {
    return typeof v === 'string' && v.length > 255
})

Custom functions as rules

Sometimes even custom type aren't enough and we have to reach for something more.

import { validate } from 'json-valid-3k'

const dataObject = {
  abc: 'AaBbCc',
  arr: [1, 2, 3, 4, 5]
}
const dataSchema = {
  abc: 'String',
  arr: (value, data, schema) => {
    return Array.isArray(value) && value.length > 3
  }
}

// Your validation object
const { valid, tree, errors, dropped } = validate(dataObject, dataSchema)

 

Multiple possible types per value

Every value can be targeted via one or more rule types

const SCHEMA_MULTIPLE = {
  aaa: 'Array',
  bbb: ['Array', 'Number'],
  ccc: ['String', 'Object', null]
}

Additional Schema Options

{
  // ...Some props
  optional: Boolean,
  default: 'Something', // Has to match the type. NOT applied when "optional" is "true"
  allowEmpty: Boolean,  // Default value is true. Using false fails empty Array/Object/String values
  silentDrop: Boolean,  // Default value is false. Using true drops failed items without raising the alarm
}

Usage - deep nesting

import { validate } from 'json-valid-3k'

const a_data = {
  a: 'kisk',
  b: {
    duck: 123,
    bb: 123,
    xx: {
      q: [
        { qub: 456 },
        { qub: 789 },
        { qub: 'I am wrong, hehe' },
        null,
        undefined,
        { irrelevant: 'prop' },
        { qub: 111 },
      ]
    },
    yy: {
      hello: 'World',
    },
  },
  c: ['Dingo'],
  d: () => ({}),
}
const a_schema = {
  a: { type: 'String', optional: true },
  c: { type: 'Array', optional: false },
  b: {
    type: 'Object',
    optional: true,
    props: {
      duck: { type: 'String', optional: true },
      bb: { type: 'Number', optional: false },
      xx: {
        type: 'Object',
        props: {
          q: {
            type: 'Array',
            children: {
              type: 'Object',
              props: { qub: { type: 'Number' } },
            },
          },
        },
      },
      yy: {
        type: 'Object',
        props: {
          hello: { type: 'String' },
          aaa: { type: 'Boolean', default: false },
          bbb: { type: 'Boolean', default: true },
          ccc: { type: null, default: null },
          ddd: { type: null, default: undefined },
          eee: { type: 'String', default: 'This will show up', },
          fff: { type: 'String', default: 'This will NOT show up because it is optional', optional: true },
        },
      },
    },
  },
  d: { type: 'Function' }
}

const test = validate(a_data, a_schema)
test = {
  valid: false, // OR true
  tree: {
    a: "kisk"
    b:
    bb: 123
    duck: "ERROR: Value [123] does not match type [String]"
    xx: {
      q: Array(7) [
        0: {qub: 456}
        1: {qub: 789}
        2: {qub: "ERROR: Value ["I am wrong, hehe"] does not match type [Number]"}
        3: "ERROR: Value [null] does not match type [Object]"
        4: "ERROR: Value [undefined] does not match type [Object]"
        5: {qub: "ERROR: Value [undefined] does not match type [Number]"}
        6: {qub: 111}
      ]
    }
    yy: {
      aaa: false
      bbb: true
      ccc: null
      ddd: "ERROR: Value [undefined] does not match type [null]"
      eee: "This will show up"
      hello: "World"
    }
    c: ["Dingo"]
    d: () => ({})
  }, 
}