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jju - a set of utilities to work with JSON / JSON5 documents

Installation

npm install jju

Usage

This module provides following functions:

  1. jju.parse() parses json/json5 text and returns a js value it corresponds to
  2. jju.stringify() converts js value to an appropriate json/json5 text
  3. jju.tokenize() parses json/json5 text and returns an array of tokens it consists of (see demo)
  4. jju.analyze() parses json/json5 text and tries to guess indentation, quoting style, etc.
  5. jju.update() changes json/json5 text, preserving original formatting as much as possible (see demo)

All functions are able to work with a standard JSON documents. jju.parse() and jju.stringify() are better in some cases, but slower than native JSON.parse() and JSON.stringify() versions. Detailed description see below.

jju.parse() function

/*
 * Main syntax:
 *
 * `text` - text to parse, type: String
 * `options` - parser options, type: Object
 */
jju.parse(text[, options])

// compatibility syntax
jju.parse(text[, reviver])

Options:

// 'ignore' will cause reserved keys to be ignored:
parse('{hasOwnProperty: 1}', {reserved_keys: 'ignore'}) == {}
parse('{hasOwnProperty: 1, x: 2}', {reserved_keys: 'ignore'}).hasOwnProperty('x') == true

// 'throw' will cause SyntaxError in these cases:
parse('{hasOwnProperty: 1}', {reserved_keys: 'throw'}) == SyntaxError

// 'replace' will replace reserved keys with new ones:
parse('{hasOwnProperty: 1}', {reserved_keys: 'throw'}) == {hasOwnProperty: 1}
parse('{hasOwnProperty: 1, x: 2}', {reserved_keys: 'ignore'}).hasOwnProperty('x') == TypeError

jju.stringify() function

/*
 * Main syntax:
 *
 * `value` - value to serialize, type: *
 * `options` - serializer options, type: Object
 */
jju.stringify(value[, options])

// compatibility syntax
jju.stringify(value[, replacer [, indent])

Options:

jju.tokenize() function

/*
 * Main syntax:
 *
 * `text` - text to tokenize, type: String
 * `options` - parser options, type: Object
 */
jju.tokenize(text[, options])

Options are the same as for the jju.parse function.

Return value is an array of tokens, where each token is an object:

You can check tokenizer for yourself using this demo.

jju.analyze() function

/*
 * Main syntax:
 *
 * `text` - text to analyze, type: String
 * `options` - parser options, type: Object
 */
jju.analyze(text[, options])

Options are the same as for the jju.parse function.

Return value is an object defining a programming style in which the document was written.

jju.update() function

/*
 * Main syntax:
 *
 * `text` - original text, type: String
 * `new_value` - new value you want to set
 * `options` - parser or stringifier options, type: Object
 */
jju.tokenize(text, new_value[, options])

If you want to update a JSON document, here is the general approach:

// here is your original JSON document:
var input = '{"foo": "bar", "baz": 123}'

// you need to parse it first:
var json = jju.parse(input, {mode: 'json'})
// json is { foo: 'bar', baz: 123 }

// then you can change it as you like:
json.foo = 'quux'
json.hello = 'world'

// then you run an update function to change the original json:
var output = jju.update(input, json, {mode: 'json'})
// output is '{"foo": "quux", "baz": 123, "hello": "world"}'

Look at this demo to test various types of json.

Advantages over existing JSON libraries

In a few cases it makes sense to use this module instead of built-in JSON methods.

Parser:

In case of syntax error, JSON.parse does not return any good information to the user. This module does:

$ node -e 'require("jju").parse("[1,1,1,1,invalid]")'

SyntaxError: Unexpected token 'i' at 0:9
[1,1,1,1,invalid]
         ^

This module is about 5 times slower, so if user experience matters to you more than performance, use this module. If you're working with a lot of machine-generated data, use JSON.parse instead.

Stringifier:

This module behaves more smart when dealing with object and arrays, and does not always print newlines in them:

$ node -e 'console.log(require("./").stringify([[,,,],,,[,,,,]], {mode:"json"}))'
[
        [null, null, null],
        null,
        null,
        [null, null, null, null]
]

JSON.stringify will split this into 15 lines, and it's hard to read.

Yet again, this feature comes with a performance hit, so if user experience matters to you more than performance, use this module. If your JSON will be consumed by machines, use JSON.stringify instead.

As a rule of thumb, if you use "space" argument to indent your JSON, you'd better use this module instead.