LunrJS-based search for Middleman.
Add this line to your application's Gemfile:
gem 'middleman-search'
And then execute:
$ bundle
Or install it yourself as:
$ gem install middleman-search
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:
boost
Specifies lunr relevance boost when searching this fieldstore
Whether to store this field in the document map (see below), defaults to falseindex
Whether to index this field, defaults to truerequired
The resource will not be indexed if a field marked as required has an empty or null value
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:
url
which is the actual resource urlcontent
the text extracted from the rendered resource, without including its layout
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)
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.
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.
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 %>
The generated index file contains a JSON object with two properties:
index
contains the serialised lunr.js index, which you can load vialunr.Index.load(lunrData.index)
docs
is a map from the autogenerated document ids to an object that contains the attributes configured for storage
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
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);
}
});
A big thank you to:
- Octo-Labs's jagthedrummer for his
middleman-alias
extension, in which we based for developing this one. - jnovos and 256dpi, for their
middleman-lunrjs
andmiddleman-lunr
extensions, which served as inspirations for making this one. - olivernn and all
lunr.js
contributors - MihaiValentin for the support for 10+ languages in lunr-languages.
- The Middleman team and contributors