1Liner
1Liner, or simply L is a super fast (10000 query executions take 150ms) and lightweight (< 35 kb minified) JavaScript library for the browser or for Node.js that allows querying of JSON with one tiny line of code.
Why?
Fetching data from a JSON can be cumbersome and always requires too much code. Wouldn't it be great to be able to fetch data, quickly, from a JSON with one simple line?
const L = require('1liner');
const obj = new L({
propose: {
address: {
line_1: "39944 Morissette Trail",
line_2: "Gulgowski Wells",
postcode: "AB13RT",
county: "Gloucestershire",
country: "GB"
},
convictions: [{
code: "SP50",
points: 4,
},
{
code: "SP50",
points: 2,
},
{
code: "SP30",
points: 1,
}]
},
additional_drivers: [{
name: 'Ted',
age: 24
}, {
name: 'Mary',
age: 30
}]
});
/*
* Normal object syntax
*/
obj.query('proposer.address.postcode'); // "AB13RT"
/*
* Normal object then map on array element
*/
obj.query('proposer.convictions.map(code)'); // ["SP50", "SP50", "SP30"]
/*
* Normal object then chain array element filter on filter
*/
obj.query('proposer.convictions.filter(points<=2).filter(code=SP30).map(code)'); // ["SP30"]
obj.query('proposer.convictions.filter(points<=2).filter(code="SP30").map(code)'); // ["SP30"]
/*
* Array first element so filter applied immediately
*/
obj.query('additional_drivers.filter(age>24).map(name)'); // ["Mary"]
Installation
npm install --save 1liner
Usage
Node.js
const L = require('1liner');
const obj = new L({
proposer: {
title: "MR",
first_names: "John",
last_names: "Smith",
age: 33,
claims: [{
code: "A",
at_fault: false,
}]
}
});
obj.query('proposer.title'); // "MR"
obj.query('proposer.claims.map(code)'); // ["A"]
obj.query('proposer.age') - 10; // 23
Browsers
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/caljrimmer/1liner@latest/dist/index.js"></script>
A global variable window.L
or simply L
is created.
Operators
See test file for more details.
- count
Counts the number of items in an array. It can be used after a filter has been applied.
Example:
const L = require('1liner');
const obj = new L({
proposer: {
title: "MR",
first_names: "John",
last_names: "Smith",
age: 33,
claims: [{
code: "A",
at_fault: false,
},
{
code: "W",
at_fault: false,
}]
}
});
obj.query('proposer.claims.count()'); // 2
obj.query('proposer.claims.filter(code=W).count()'); // 1
obj.query('proposer.claims.filter(code="W").count()'); // 1
- min, max, mean, range, sum
Finding the min integer, max integer and range between the two.
Example:
const L = require('1liner');
const obj = new L({
proposer: {
title: "MR",
first_names: "John",
last_names: "Smith",
age: 33,
convictions: [{
code: "SP50",
points: 4
},
{
code: "SP30",
points: 2
}]
}
});
obj.query('proposer.convictions.map(points).min()'); // 2
obj.query('proposer.convictions.map(points).max()'); // 4
obj.query('proposer.convictions.map(points).range()'); // 2
obj.query('proposer.convictions.map(points).mean()'); // 3
obj.query('proposer.convictions.sum(points)'); // 6
/**
* Defaulting result on min, max, mean
*/
obj.query('proposer.convictions.filter(points=0).min(10)'); // 10
obj.query('proposer.convictions.filter(points=0).max(1)'); // 1
obj.query('proposer.convictions.filter(points=0).mean(3)'); // 3
- map
Returns an array of the selected key within a collection of items.
Example:
const L = require('1liner');
const obj = new L({
proposer: {
title: "MR",
first_names: "John",
last_names: "Smith",
age: 33,
convictions: [{
code: "SP50",
points: 4
},
{
code: "SP30",
points: 2
}]
}
});
obj.query('proposer.convictions.map(code)'); // ["SP50", "SP30"]
- filter
Returns a filtered collection based on a criteria.
Filters work on strings and numbers. Dates will need to be converted in to numbers (UNIX timestamps) to be filtered.
Example:
const L = require('1liner');
const obj = new L({
proposer: {
title: "MR",
first_names: "John",
last_names: "Smith",
age: 33,
convictions: [{
code: "SP50",
points: 4
},
{
code: "SP30",
points: 2
}],
claims: [{
code: "A",
at_fault: false,
},
{
code: "W",
at_fault: true,
}]
}
});
obj.query('proposer.convictions.filter(code=SP30)'); // [{ code: "SP30", points: 2 }]
obj.query('proposer.convictions.filter(code="SP30")'); // [{ code: "SP30", points: 2 }]
obj.query('proposer.convictions.filter(code=SP30).map(points)'); // [2]
obj.query('proposer.convictions.filter(code!=SP30).map(points)'); // [4]
obj.query('proposer.convictions.filter(points<4).map(code)'); // ["SP30"]
obj.query('proposer.convictions.filter(points<=4).map(code)'); // ["SP50", "SP30"]
obj.query('proposer.convictions.filter(points>2).map(code)'); // ["SP50"]
obj.query('proposer.convictions.filter(points>=2).map(code)'); // ["SP50", "SP30"]
obj.query('proposer.claims.filter(at_fault=true).map(code)'); // ["W"]
obj.query('proposer.claims.filter(at_fault=false).count()'); // 1
- unique
Returns an array of the unique items.
Example:
const L = require('1liner');
const obj = new L({
proposer: {
title: "MR",
first_names: "John",
last_names: "Smith",
age: 33,
convictions: [{
code: "SP50",
points: 4
},
{
code: "SP50",
points: 2
}]
}
});
obj.query('proposer.convictions.unique(code).count()'); // 1
- exists
Checks if property value exists i.e. not null, undefined, empty string or 0.
Example:
const L = require('1liner');
const obj = new L({
proposer: {
title: "MR",
first_names: "John",
middle_name: "",
last_names: "Smith",
age: 0,
spouse: null
}
});
obj.query('proposer.middle_name.exists()'); // "false"
obj.query('proposer.age.exists()'); // "false"
obj.query('proposer.spouse.exists()'); // "false"
obj.query('proposer.title.exists()'); // "true"
- default
If property is undefined then it will return a defined default number or string
Example:
const L = require('1liner');
const obj = new L({
proposer: {
title: "MR",
first_names: "John",
middle_name: "",
last_names: "Smith",
age: 0,
spouse: null
}
});
obj.query('proposer.country.default(GB)'); // "GB"
obj.query('proposer.country.default("GB")'); // "GB"
obj.query('proposer.height.default(180)'); // 180
obj.query('proposer.first_names.default("bob")'); // "John"
- date, age
If property is a date, then you can use date() to find a hour, date, month or year from the date string, or use age() to find the age since now in hours, days, months or years.
Example:
const L = require('1liner');
const obj = new L({
proposer: {
title: "MR",
first_names: "John",
dob: "1990-01-01"
}
});
obj.query('proposer.dob.date(YY)'); // 1990
obj.query('proposer.dob.date(MM)'); // 1
obj.query('proposer.dob.date(DD)'); // 1
obj.query('proposer.dob.date(HH)'); // 0
//assuming the date now is 2022-01-01
obj.query('proposer.dob.age(YY)'); // 32
obj.query('proposer.dob.age(MM)'); // 384
obj.query('proposer.dob.age(DD)'); // 140160
obj.query('proposer.dob.age(HH)'); // 3363840
A second argument can be provided to point at a date in the object instead of using now. This must be a top-level key in the object.
const L = require('1liner');
const obj = new L({
created_at: '2022-01-01',
proposer: {
title: "MR",
first_names: "John",
dob: "1990-01-01"
}
});
obj.query('proposer.dob.age(YY, created_at)'); // 32
obj.query('proposer.dob.age(MM, created_at)'); // 384
obj.query('proposer.dob.age(DD, created_at)'); // 140160
obj.query('proposer.dob.age(HH, created_at)'); // 3363840
Date and age work with arrays.
const L = require('1liner');
const obj = new L({
created_at: '2022-01-01',
proposer: {
title: "MR",
first_names: "John",
dob: "1990-01-01",
convictions: [{
code: "SP50",
points: 4,
date: "2019-01-01",
},
{
code: "SP30",
points: 2,
date: "2020-01-01",
}]
}
});
obj.query('proposer.convictions.map(date).age(YY, created_at)'); // [ 3 , 2 ]
obj.query('proposer.convictions.map(date).age(MM, created_at)'); // [ 36 , 24 ]
obj.query('proposer.convictions.map(date).age(DD, created_at)'); // [ 1095 , 730 ]
- regex
If property is a string, then you can use regex() to parse a regular expression against the string and return the first match.
Example:
const L = require('1liner');
const obj = new L({
proposer: {
title: "MR",
first_names: "John",
home_postcode: "W64TR",
shipping_postcode: "PO314RT"
}
});
obj.query('proposer.home_postcode.regex(^[A-Za-z]{2}|^[A-Za-z]{1})'); // W
obj.query('proposer.shipping_postcode.regex(^[A-Za-z]{2}|^[A-Za-z]{1})'); // PO
Multiple Queries
Returns an result from multiple queries. The queries need to return numbers as values otherwise an error with be thrown. The queries can be replaced with numbers too.
Multi-query options are min, max or range.
Example:
const L = require('1liner');
const obj = new L({
proposer: {
title: "MR",
first_names: "John",
last_names: "Smith",
age: 33,
height: 180,
weight: 100,
convictions: [{
code: "SP50",
points: 4
},
{
code: "SP50",
points: 2
}]
}
});
obj.query('min([proposer.weight, proposer.height])'); // 100
obj.query('max([proposer.weight, proposer.height])'); // 180
obj.query('min([100, proposer.height])'); // 100
obj.query('max([100, proposer.height])'); // 180
obj.query('range([proposer.weight, proposer.height])'); // 80
each.
Returns an array of results based on the query responses to each of the children queries. This is useful if you wish to aggregate each child node instead of all together. Each (each.) can only be used as the first segment declaration (i.e. first part of the query string) and can not be wrapped by min, max or range as the result can be integers, strings or nested arrays.
Example:
const L = require('1liner');
const obj = new L({
additional_drivers: [{
title: "MR",
first_names: "John",
last_names: "Smith",
age: 33,
height: 180,
weight: 100,
convictions: [{
code: "SP50",
points: 4
},
{
code: "SP50",
points: 2
}]
},{
title: "MRS",
first_names: "Jane",
last_names: "Smith",
age: 30,
height: 120,
weight: 60,
convictions: [{
code: "SP10",
points: 0
}]
}]
});
obj.query('each.additional_drivers.map(convictions).count()'); // [2, 1]
obj.query('additional_drivers.map(convictions).count()'); // 3
obj.query('each.additional_drivers.map(convictions).map(code)'); // [['SP50', 'SP50'], ['SP10']]
obj.query('additional_drivers.map(convictions).map(code)'); // ['SP50', 'SP50', 'SP10']
Testing
Node.js
Install the dev dependencies:
$ npm install 1liner --development
Then navigate to the installed directory:
$ cd node_modules/1liner/
Run test package:
$ npm test
Speed
- Small Object (2.5KB) - 10000 query executions takes 150ms
- Large Object (2.5MB) - 1000 query executions takes 1094ms
Bundling
npm run bundle
npm publish
Contributions
If you contribute to this library, just modify index.js
, index.spec.js
, and update README.md
. I'll update the website docs and generate the new dist/index.js
, changelog and version.
Alternative packages
The following packages allow more sophisticated querying of JSON.
License
Licensed under GNU GENERAL PUBLIC LICENSE.
Copyright (C) 2020 Callum Rimmer callum@deadtrendy.co.uk