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

@jsonjoy.com/json-expression

v1.0.1

Published

High-performance JSON Pointer implementation

Downloads

2,829

Readme

JSON Expression

JSON Expression is an s-expression based language for JSON. It is designed to be a more human-readable and writable alternative to JSON. It uses JSON as its data model and syntax.

JSON Expressions are JIT compiled to efficient machine code.

JSON Expression is a simple JSON DSL, which allows to write expressions and evaluate expressions.

For example, the following expression

['+', 1, 2]; // 1 + 2

evaluates to 3.

Usage

json-expression library can immediately evaluate expressions or it can compile an efficient expression to a function, which will execute about an order of magnitude faster.

Evaluating expression immediately as-is.

import {evaluate} from '@jsonjoy.com/json-expression';

const expression = ['+', 1, ['$', '/foo']];
const data = {foo: 2};

evaluate(expression, {data}); // 3

Pre-compiling expression to an optimized function.

import {JsonExpressionCodegen} from '@jsonjoy.com/json-expression';

const expression = ['+', 1, ['$', '/foo']];
const codegen = new JsonExpressionCodegen({expression});
const fn = codegen.run().compile();
const data = {foo: 2};

fn({data}); // 3

Documentation

json-expression library supports few dozen operators, see full list in Expr type here.

Parsing rules:

  1. JSON Expression is a valid JSON value.
  2. All expressions are JSON arrays, which start with a string which specifies the operator and remaining array elements are operands. For example, the "get" operator fetches some value from supplied data using JSON Pointer:["get", "/some/path"].
  3. All other values are treated as literals. Except for arrays, which need to be enclosed in square brackets. For example, to specify an empty array, you box your array in square brackets: [[]]. This evaluates to an empty array JSON value [].

Use Cases

Consider you application receives a stream of JSON Cloud Events, like this:

{
  "specversion" : "1.0",
  "type" : "com.example.someevent",
  "source" : "/mycontext",
  "subject": null,
  "id" : "C234-1234-1234",
  "time" : "2018-04-05T17:31:00Z",
  "comexampleextension1" : "value",
  "comexampleothervalue" : 5,
  "datacontenttype" : "application/json",
  "data" : {
      "appinfoA" : "abc",
      "appinfoB" : 123,
      "appinfoC" : true
  }
}

You could write and compile a JSON Expression to efficiently filter out events you are interested in, for example your expression could look like this:

[
  'and',
  ['==', ['$', '/specversion'], '1.0'],
  ['starts', ['$', '/type'], 'com.example.'],
  ['in', ['$', '/datacontenttype'], [['application/octet-stream', 'application/json']]],
  ['==', ['$', '/data/appinfoA'], 'abc'],
];

Benchmark

node benchmarks/json-expression/main.js
json-joy/json-expression JsonExpressionCodegen x 14,557,786 ops/sec ±0.09% (100 runs sampled), 69 ns/op
json-joy/json-expression JsonExpressionCodegen with codegen x 170,098 ops/sec ±0.13% (101 runs sampled), 5879 ns/op
json-joy/json-expression evaluate x 864,956 ops/sec ±0.10% (101 runs sampled), 1156 ns/op
json-logic-js x 821,799 ops/sec ±0.18% (99 runs sampled), 1217 ns/op
Fastest is json-joy/json-expression JsonExpressionCodegen