backlunr

is a solution to bring Backbone Collections together with the browser fulltext search engine Lunr.js.

INFO: all examples are written in coffee-script

Install

To use backlunr you first have to load the dependencies:

• Underscore
• Backbone
• Lunr.js

Then add the backlunr.js script to your page.

Usage

Config

To use the lunr.js fulltext search within a collection you have to load backlunr.js and use Backbone.Collection.Lunr instead of Backbone.Collection

The only thing you have to define are the fields to index.

Config Example:

class User extends Backbone.Model

class Users extends Backbone.Collection.Lunr
	model: User
	lunroptions:
		fields: [
			{ name: "firstname", boost: 10 }
			{ name: "lastname", boost: 5 }
			{ name: "email" }
			{ name: "address" }
		]

lunroptions

• fields ( Array | Function ): An array of field definitions or a method called on init/reset which has to return the field definitions array
• fields[ n ] ( Object ): The field definition
• fields[ n ].name ( String - required ): The field name within your model attribute
• fields[ n ].boost ( Number - optional: default=1 ): A boost factor for results in this field.

Attension: Currently Lunr.js does not support an indexing of numeric values. To use numeric values backlunr converts all fields to strings.

search

To search within your collection you just have to call .search( "[ term ]" ).

Search Example:

# add some users
usersCollection = new Users [
	firstname: "Fritz", lastname: "Maier", "email": "fmaier@maier.com", "address": "Teststreet 123"
,
	firstname: "Hans", lastname: "Schubert", "email": "hschubert@maier.com", "address": "Checkway 987"
]

result = usersCollection.search( "Fritz" )
# [ User( Fritz ) ]
# returns an array of matching models sorted by the result scoring

result.toJSON()
# [ {firstname: "Fritz", lastname: "Maier", "email": "fmaier@maier.com", "address": "Teststreet 123"} ]
# the single special method `toJSON` of the array returns all models converted by `model.toJSON()`.

Methods

Collection.search( term [, raw ] )

.search() is the only method added to the collection by Backlunr.

arguments:

• term ( String - required ): the search term
• raw ( Boolean - optional: default=false ): Return the raw lunr result including the score and models cid as ref

retuns ( Array ):

An array of matching models.
If you define raw=true you will receive an array with object like { score: 0.789, ref: "c123" }

• toJSON() If raw=false you can use the special toJSON method to transform the aray of models to an array of model attributes.

Ideas

• Create a solution to search in multiple collections by hooking them to a global search module. If a search has been done the result will return all matching models in al hooked collection including the type ( Collection name )

Work in progress

backlunr is work in progress. Your ideas, suggestions etc. are very welcome.

Development

If you want to contribute you have to install the dependencies and gulp as task runner:

$ npm install
$ npm install -g gulp

After that it's possible to build the code using

$ gulp

Changelog

0.3.0

• added option to grab the contenct from sub elements
• use coffee 1.x for compile

0.2.5

• Fixed handling of tags/arrays with spaces
• updated to current gulp version

0.2.4

• Readme typo fix #2. Thanks to Cody Nguyen
• restructured code
• Updated test to Lunr.js v0.6.0, jquery v2.1.4, backbone v1.2.3, mocha v2.3.4 and expect v0.3.1. *Backlunr test already working fine

0.2.3

• Fixed Issue #1 to init the collection on search if nor reset has been fired
• Added gulp compile
• Updated test to Lunr.js v0.5.8, jquery v2.1.3, mocha v1.21.5 and expect v0.3.1. *Backlunr test already working fine

0.2.2

• Updated test to Lunr.js v0.5.3, jquery v2.1.1, mocha v1.19.0 and expect v0.3.1. Backlunr test already working fine

0.2.1

• Updated test to Lunr.js v0.4.0, jquery v2.0.3, mocha v1.12.0 and expect v0.2.0. Backlunr test already working fine but 15% faster.
• Compiled scripts with new coffee version v1.6.3

0.2.0

• Added minified version
• Added support for numeric values by converting every field-value to a string

0.1.0

• Initial version

Todo

• restructure to use it standalone or with browserify, AMD, ...

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