converse-built/node_modules/JSONStream

JSONStream

streaming JSON.parse and stringify

install

## example

js

var request = require('request') , JSONStream = require('JSONStream') , es = require('event-stream')

request({url: 'http://isaacs.couchone.com/registry/_all_docs'}) .pipe(JSONStream.parse('rows.*')) .pipe(es.mapSync(function (data) {

console.error(data)
return data

}))

## JSONStream.parse(path)

parse stream of values that match a path

js JSONStream.parse('rows.*.doc')

The `..` operator is the recursive descent operator from [JSONPath](http://goessner.net/articles/JsonPath/), which will match a child at any depth (see examples below).

If your keys have keys that include `.` or `*` etc, use an array instead.
`['row', true, /^doc/]`.

If you use an array, `RegExp`s, booleans, and/or functions. The `..` operator is also available in array representation, using `{recurse: true}`.
any object that matches the path will be emitted as 'data' (and `pipe`d down stream)

If `path` is empty or null, no 'data' events are emitted.

If you want to have keys emitted, you can prefix your `*` operator with `$`: `obj.$*` - in this case the data passed to the stream is an object with a `key` holding the key and a `value` property holding the data.

### Examples

query a couchdb view:

bash curl -sS localhost:5984/tests/_all_docs&include_docs=true

you will get something like this:

js {"total_rows":129,"offset":0,"rows":[ { "id":"change1_0.6995461115147918" , "key":"change1_0.6995461115147918" , "value":{"rev":"1-e240bae28c"} , "doc":{

  "_id":  "change1_0.6995461115147918"
, "_rev": "1-e240bae28c7bb3667f02760f6398d508","hello":1}

}, { "id":"change2_0.6995461115147918" , "key":"change2_0.6995461115147918" , "value":{"rev":"1-13677d36b9"} , "doc":{

  "_id":"change2_0.6995461115147918"
, "_rev":"1-13677d36b98c0c075145bb8975105153"
, "hello":2
}

}, ]}

we are probably most interested in the `rows.*.doc`

create a `Stream` that parses the documents from the feed like this:

js var stream = JSONStream.parse(['rows', true, 'doc']) //rows, ANYTHING, doc

stream.on('data', function(data) { console.log('received:', data); }); //emits anything from before the first match stream.on('header', function (data) { console.log('header:', data) // => {"total_rows":129,"offset":0} })

awesome!

In case you wanted the contents the doc emitted:

js var stream = JSONStream.parse(['rows', true, 'doc', {emitKey: true}]) //rows, ANYTHING, doc, items in docs with keys

stream.on('data', function(data) { console.log('key:', data.key); console.log('value:', data.value); });

You can also emit the path:

js var stream = JSONStream.parse(['rows', true, 'doc', {emitPath: true}]) //rows, ANYTHING, doc, items in docs with keys

stream.on('data', function(data) { console.log('path:', data.path); console.log('value:', data.value); });

### recursive patterns (..)

`JSONStream.parse('docs..value')` 
(or `JSONStream.parse(['docs', {recurse: true}, 'value'])` using an array)
will emit every `value` object that is a child, grand-child, etc. of the 
`docs` object. In this example, it will match exactly 5 times at various depth
levels, emitting 0, 1, 2, 3 and 4 as results.

js { "total": 5, "docs": [

{
  "key": {
    "value": 0,
    "some": "property"
  }
},
{"value": 1},
{"value": 2},
{"blbl": [{}, {"a":0, "b":1, "value":3}, 10]},
{"value": 4}

] }

## JSONStream.parse(pattern, map)

provide a function that can be used to map or filter
the json output. `map` is passed the value at that node of the pattern,
if `map` return non-nullish (anything but `null` or `undefined`)
that value will be emitted in the stream. If it returns a nullish value,
nothing will be emitted.

`JSONStream` also emits `'header'` and `'footer'` events,
the `'header'` event contains anything in the output that was before
the first match, and the `'footer'`, is anything after the last match.

## JSONStream.stringify(open, sep, close)

Create a writable stream.

you may pass in custom `open`, `close`, and `seperator` strings.
But, by default, `JSONStream.stringify()` will create an array,
(with default options `open='[\n', sep='\n,\n', close='\n]\n'`)

If you call `JSONStream.stringify(false)`
the elements will only be seperated by a newline.

If you only write one item this will be valid JSON.

If you write many items,
you can use a `RegExp` to split it into valid chunks.

## JSONStream.stringifyObject(open, sep, close)

Very much like `JSONStream.stringify`,
but creates a writable stream for objects instead of arrays.

Accordingly, `open='{\n', sep='\n,\n', close='\n}\n'`.

When you `.write()` to the stream you must supply an array with `[ key, data ]`
as the first argument.

## unix tool

query npm to see all the modules that browserify has ever depended on.

bash curl https://registry.npmjs.org/browserify | JSONStream 'versions.*.dependencies' ```

numbers

numbers will be emitted as numbers. huge numbers that cannot be represented in memory as javascript numbers will be emitted as strings. cf https://github.com/creationix/jsonparse/commit/044b268f01c4b8f97fb936fc85d3bcfba179e5bb for details.

Acknowlegements

this module depends on https://github.com/creationix/jsonparse by Tim Caswell and also thanks to Florent Jaby for teaching me about parsing with: https://github.com/Floby/node-json-streams

license

Dual-licensed under the MIT License or the Apache License, version 2.0