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manastech / middleman-search

LunrJS-based search for Middleman
MIT License
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lunr lunr-languages middleman middleman-extension search

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Middleman::Search

LunrJS-based search for Middleman.

Installation

Add this line to your application's Gemfile:

gem 'middleman-search'

And then execute:

$ bundle

Or install it yourself as:

$ gem install middleman-search

Usage

You need to activate the module in your config.rb, telling the extension how to index your resources:

activate :search do |search|

  search.resources = ['blog/', 'index.html', 'contactus/index.html']

  search.index_path = 'search/lunr-index.json' # defaults to `search.json`

  search.lunr_dirs = ['source/vendor/lunr-custom/'] # optional alternate paths where to look for lunr js files

  search.language = 'es' # defaults to 'en'

  search.fields = {
    title:   {boost: 100, store: true, required: true},
    content: {boost: 50},
    url:     {index: false, store: true},
    author:  {boost: 30}
  }
end

Where resources is a list of the beginning of the URL of the resources to index (tested with String#start_with?), index_path is the relative path of the generated index file in your site, and fields is a hash with one entry for each field to be indexed, with a hash of options associated:

Note that a special field id is included automatically, with an autogenerated identifier to be used as the ref for the document.

All fields values are retrieved from the resource data (i.e. its frontmatter), or from the options in the resource.metadata (i.e. any options specified in a proxy page), except for:

You can then query the index from Javascript via the lunrIndex object (see Index file for more info):

var max_search_entries = 50;

var result = []; //initialize empty array

lunrIndex.search(request.term).forEach( function (item, index) {
  if ( index < max_search_entries ) {
    result.push(lunrData.docs[item.ref]);
  }
});

(Thanks @Jeepler for adapting the lodash v3 code we used to use at Manas)

i18n

This gem includes assets for alternate languages as provided by MihaiValentin/lunr-languages. Please refer to that repository for a list of the languages available.

If you want to work with a language that is not included, set up a lunr.yourlang.js file in a folder in your project, and add that folder to lunr_dirs so the gem knows where to look for it.

Manual index manipulation

You can fully customise the content to be indexed and stored per resource by defining a before_index callback:

activate :search do |search|
  search.before_index = Proc.new do |to_index, to_store, resource|
    if author = resource.data.author
      to_index[:author] = data.authors[author].name
    end
  end
end

This option accepts a callback that will be executed for each resource, and will be executed with the document to be indexed and the map to be stored, in the index and docs objects of the output respectively (see below), as well as the resource being processed. You can use this callback to modify either of those, or throw(:skip) to skip the resource in question.

Lunr pipeline configuration

In some cases, you may want to add new function to the lunr pipeline, both for creating the indexing and then for searching. You can do this by providing a pipeline hash with function names and body, for example:

activate :search do |search|
  search.pipeline = {
    tildes: <<-JS
      function(token, tokenIndex, tokens) {
        return token
          .replace('á', 'a')
          .replace('é', 'e')
          .replace('í', 'i')
          .replace('ó', 'o')
          .replace('ú', 'u');
      }
    JS
  }
end

This will register the tildes function in the lunr pipeline and add it when building the index. From the Lunr documentation:

Functions in the pipeline are called with three arguments: the current token being processed; the index of that token in the array of tokens, and the whole list of tokens part of the document being processed. This enables simple unigram processing of tokens as well as more sophisticated n-gram processing.

The function should return the processed version of the text, which will in turn be passed to the next function in the pipeline. Returning undefined will prevent any further processing of the token, and that token will not make it to the index.

Note that if you add a function to the pipeline, it will also be loaded when de-serialising the index, and lunr will fail with an Cannot load un-registered function: tildes error if it has not been re-registered. You can either register them manually, or simply include the following in a .js.erb file to be executed before loading the index:

<%= search_lunr_js_pipeline %>

Index file

The generated index file contains a JSON object with two properties:

You will typically load the index into a lunr index instance, and then use the docs map to look up the returned value and present it to the user.

You should also require the lunr.min.js file in your main sprockets javascript file (if using the asset pipeline) to be able to actually load the index:

//= require lunr.min

If you're using lunr's i18n capabilities, you should also load the Stemmer support and language files (in that order) here:

//= require lunr.min
//= require lunr.stemmer.support
//= require lunr.es

Asset pipeline

The Middleman pipeline (if enabled) does not include json files by default, but you can easily modify this by adding .json to the exts option of the corresponding extensions, such as gzip and asset_hash:

activate :asset_hash do |asset_hash|
  asset_hash.exts << '.json'
end

Note that if you run the index json file through the asset hash extension, you will need to retrieve the actual destination URL when loading the file in the browser for searching, using the search_index_path view helper:

var lunrIndex = null;
var lunrData  = null;

// Download index data
$.ajax({
  url: "<%= search_index_path %>",
  cache: true,
  method: 'GET',
  success: function(data) {
    lunrData = data;
    lunrIndex = lunr.Index.load(lunrData.index);
  }
});

Acknowledgments

A big thank you to: