How to use Lift’s Auto Complete functionality optionally

Auto Complete functionality enables users to quickly find and select from a pre-populated list of values as they type, leveraging searching and filtering.

We can see live example in Google. Whenever we type something for searching, Google provides us some suggestions. This increases the speed of our work.

This functionality is used in 2 forms :
1. Only auto complete is allowed. i.e. We can select only from pre-populated list. We can not enter our own text.
2. Auto Complete as optional i.e. Either we can select from pre-populated list or we can type our own text.

So here I am explaining 2nd feature : Auto Complete with optional

1. Add below line in Boot.Scala

import net.liftweb.widgets.autocomplete.AutoComplete
  class Boot {
    def boot {

2. In order to implement in Snippet , follow below lines :-

"#autocomplete" #>AutoComplete(startValue,
                               getResults _, 
                                value => takeAction(value)
                                , List(("minChars" -> "3"))
startValue is a string for the initial value of the AutoComplete text field.
getResults is a function to populate the Autocomplete drop down results.
takeAction is a function called when the form is submitted, containing the value of the widget
def getResults(current: String, limit: Int): Seq[String] = {
current is the string typed into the autoComplete text field.
limit is an integer to limit the number of Strings returned by the function
def takeAction(str : String) = {
println("Selected Value"+str)

Till now, only populated values can be selected.
3. To make this functionality optional, just add below code :

$(document).ready(function() {
		$('span#autocomplete input').bind('blur', function() {

Auto complete changes id of text box therefore I use “span#autocomplete input” as id to approach that text box.

Now whether select values from populated list or enter your own value, you can access that value in takeAction() method.

About Rishi Khandelwal

Lead Consultant having more than 6 years industry experience. He has working experience in various technologies such as Scala, Java8, Play, Akka, Lagom, Spark, Hive, Kafka, Cassandra, Akka-http, Akka-Streams, ElasticSearch, Backbone.js, html5, javascript, Less, Amazon EC2, WebRTC, SBT
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