Vavr, Collections, and Java Stream API Collectors

Vavr is now a must-have for every modern Java 8+ project. It encourages writing code in a functional manner by providing a new persistent Collections API along with a set of new Functional Interfaces and monadic tools like Option, Try, Either, etc.

You can read more about it here.

Vavr’s Persistent Collections API

To provide useable immutable data structures, the whole Collections API needed to be redesigned from scratch.

The standard java.util.Collection interface contains methods that discourage immutability such as:

boolean add(E e);
boolean remove(Object o);
boolean addAll(Collection<? extends E> c);
boolean removeAll(Collection<?> c);

One might think that the problem is that those methods allow modifications of the particular collection instance, but this is not entirely true – with immutable data structures, each mutating operation needs to derive a new collection from the existing one. Simply put, each of those methods should be able to return a new instance of the collection.

Here, the whole collections hierarchy is restricted to returning boolean or void from mutating methods – which makes them suitable only for mutable implementations.

Of course, immutable implementations of java.util.Collection exist, but above-mentioned methods are simply forbidden. That’s how it looks like in the com.google.common.collect.ImmutableList:

/**
 * Guaranteed to throw an exception and leave the list unmodified.
 *
 * @throws UnsupportedOperationException always
 * @deprecated Unsupported operation.
 */
@Deprecated
@Override
public final void add(int index, E element) {
  throw new UnsupportedOperationException();
}

And this is far from perfect – even the simplest add() operation becomes a ceremony:

ImmutableList<Integer> original = ImmutableList.of(1);

List<Integer> modified = new ImmutableList.Builder<Integer>()
  .addAll(original)
  .add(2)
  .build();

A major redesign made it possible to interact with immutable collections more naturally and add some new exciting features:

import io.vavr.collection.List;
// ...

List<Integer> original = List.of(1);
List<Integer> modified = original.append(2);

modified.dropWhile(i -> i < 42);
modified.combinations();
modified.foldLeft(0 , Integer::sum)

Collecting Vavr’s Collections

One of the key features of the Java Stream API was the collect() API that made it possible to take elements from Stream and apply the provided strategy to them – in most cases that would be simply placing all elements in some collection.

Vavr’s collections have a method that provides the similar(but limited) functionality but it’s not being used often because almost all operations that were available only using Stream API, are available on the collection level in Vavr.

But… one of the method signatures of Vavr’s collect() is especially intriguing:

<R, A> R collect(java.util.stream.Collector<? super T, A, R> collector)

As you can see, Vavr’s collections are fully compatible with Stream API Collectors and we can use our favourite Collectors easily:

list.collect(Collectors.toList());
list.collect(Collectors.groupingBy(Integer::byteValue));

That might not be super useful for everyday use-cases because the most common operations are accessible without using Collectors but it’s comforting to know that Vavr’s functionality is a superset of Stream API’s (at least in terms of collect() semantics)

Collecting Everything

The interesting realization happens when we decide to investigate the type hierarchy in Vavr:

source: http://www.vavr.io/vavr-docs/

We can notice here that the Value resides on top collections hierarchy and this is where the collect() method mentioned above is defined.

If we look closer, it’s clear that classes like Option, Try, Either, Future, Lazy also implement the Value interface. The reasoning behind this is that they are all essentially containers for values – containers that can hold max up to one element.  

This makes them compatible with Stream API Collectors, as well:

Option.of(42)
  .collect(Collectors.toList());

Try.of(() -> URI.create("4comprehension.com"))
  .collect(Collectors.partitioningBy(URI::isAbsolute));

Summary

The redesign of the Collections API allowed the introduction of cool new methods, as well as achieving full interoperability with Java Stream API Collectors – which can also be applied to Vavr’s functional control structures like Option, Try, Either, Future, or Lazy.

The examples above use:

<dependency>
    <groupId>io.vavr</groupId>
    <artifactId>vavr-test</artifactId>
    <version>0.9.0</version>
</dependency>
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CasperJS for Java developers

Why CasperJS

Being a Java developer is kinda hard these days. Java may not be dead yet, but when keeping in sync with all the hipster JavaScript frameworks could make us feel a bit outside the playground. It’s even hard to list JavaScript frameworks with latest releases on one website.

In my current project, we are using AngularJS. It’a a nice abstraction of MV* pattern in frontend layer of any web application (we use Grails underneath). Here is a nice article with an 8-point Win List of Angular way of handling AJAX calls and updating the view. So it’s not only a funny new framework but a truly helper of keeping your code clean and neat.

But there is also another area when you can put helpful JS framework in place of plan-old-java one - functional tests. Especially when you are dealing with one page app with lots of asynchronous REST/JSON communication.

Selenium and Geb

In Java/JVM project the typical is to use Selenium with some wrapper like Geb. So you start your project, setup your CI-functional testing pipeline and… after 1 month of coding your tests stop working and being maintainable. The frameworks itselves are not bad, but the typical setup is so heavy and has so many points of failure that keeping it working in a real life project is really hard.

Here is my list of common myths about Selenium: * It allows you to record test scripts via handy GUI - maybe some static request/response sites. In modern web applications with asynchronous REST/JSON communication your tests must contain a lot of “waitFor” statements and you cannot automate where these should be included. * It allows you to test your web app against many browsers - don’t try to automate IE tests! You have to manually open your app in IE to see how it actually bahaves! * It integrates well with continuous integration servers like Jenkins - you have to setup Selenium Grid on server with X installed to run tests on Chrome or Firefox and a Windows server for IE. And the headless HtmlUnit driver lacks a lot of JS support.

So I decided to try something different and introduce a bit of JavaScript tooling in our project by using CasperJS.

Introduction

CasperJS is simple but powerful navigation scripting & testing utility for PhantomJS - scritable headless WebKit (which is an rendering engine used by Safari and Chrome). In short - CasperJS allows you to navigate and make assertions about web pages as they’d been rendered in Google Chrome. It is enough for me to automate the functional tests of my application.

If you want a gentle introduction to the world of CasperJS I suggest you to read: * Official website, especially installation guide and API * Introductionary article from CasperJS creator Nicolas Perriault * Highlevel testing with CasperJS by Kevin van Zonneveld * grails-angular-scaffolding plugin by Rob Fletcher with some working CasperJS tests

Full example

I run my test suite via following script:

casperjs test --direct --log-level=debug --testhost=localhost:8080 --includes=test/casper/includes/casper-angular.coffee,test/casper/includes/pages.coffee test/casper/specs/

casper-angular.coffe

casper.test.on "fail", (failure) ->
    casper.capture(screenshot)

testhost   = casper.cli.get "testhost"
screenshot = 'test-fail.png'

casper
    .log("Using testhost: #{testhost}", "info")
    .log("Using screenshot: #{screenshot}", "info")

casper.waitUntilVisible = (selector, message, callback) ->
    @waitFor ->
        @visible selector
    , callback, (timeout) ->
        @log("Selector [#{selector}] not visible, failing")
        withParentSelector selector, (parent) ->
            casper.log("Output of parent selector [#{parent}]")
            casper.debugHTML(parent)
        @echo message, "RED_BAR"
        @capture(screenshot)
        @test.fail(f("Wait timeout occured (%dms)", timeout))

withParentSelector = (selector, callback) ->
    if selector.lastIndexOf(" ") > 0
       parent = selector[0..selector.lastIndexOf(" ")-1]
       callback(parent)

Sample pages.coffee:

x = require('casper').selectXPath

class EditDocumentPage

    assertAt: ->
        casper.test.assertSelectorExists("div.customerAccountInfo", 'at EditDocumentPage')

    templatesTreeFirstCategory: 'ul.tree li label'
    templatesTreeFirstTemplate: 'ul.tree li a'
    closePreview: '.closePreview a'
    smallPreview: '.smallPreviewContent img'
    bigPreview: 'img.previewImage'
    confirmDelete: x("//div[@class='modal-footer']/a[1]")

casper.editDocument = new EditDocumentPage()

End a test script:

testhost = casper.cli.get "testhost" or 'localhost:8080'

casper.start "http://#{testhost}/app", ->
    @test.assertHttpStatus 302
    @test.assertUrlMatch /\/fakeLogin/, 'auto login'
    @test.assert @visible('input#Create'), 'mock login button'
    @click 'input#Create'

casper.then ->
    @test.assertUrlMatch /document#\/edit/, 'new document'
    @editDocument.assertAt()
    @waitUntilVisible @editDocument.templatesTreeFirstCategory, 'template categories not visible', ->
        @click @editDocument.templatesTreeFirstCategory
        @waitUntilVisible @editDocument.templatesTreeFirstTemplate, 'template not visible', ->
            @click @editDocument.templatesTreeFirstTemplate

casper.then ->
    @waitUntilVisible @editDocument.smallPreview, 'small preview not visible', ->
        # could be dblclick / whatever
        @mouseEvent('click', @editDocument.smallPreview)

casper.then ->
    @waitUntilVisible @editDocument.bigPreview, 'big preview should be visible', ->
        @test.assertEvalEquals ->
            $('.pageCounter').text()
        , '1/1', 'page counter should be visible'
        @click @editDocument.closePreview

casper.then ->
    @click 'button.cancel'
    @waitUntilVisible '.modal-footer', 'delete confirmation not visible', ->
        @click @editDocument.confirmDelete

casper.run ->
    @test.done()

Here is a list of CasperJS features/caveats used here:

  • Using CoffeeScript is a huge win for your test code to look neat
  • When using casper test command, beware of different (than above articles) logging setup. You can pass --direct --log-level=debug from commandline for best results. Logging is essential here since Phantom often exists without any error and you do want to know what just happened.
  • Extract your helper code into separate files and include them by using --includes switch.
  • When passing server URL as a commandline switch remember that in CoffeeScript variables are not visible between multiple source files (unless getting them via window object)
  • It’s good to override standard waitUntilVisible with capting a screenshot and making a proper log statement. In my version I also look for a parent selector and debugHTML the content of it - great for debugging what is actually rendered by the browser.
  • Selenium and Geb have a nice concept of Page Objects - an abstract models of pages rendered by your application. Using CoffeeScript you can write your own classes, bind selectors to properties and use then in your code script. Assigning the objects to casper instance will end up with quite nice syntax like @editDocument.assertAt().
  • There is some issue with CSS :first and :last selectors. I cannot get them working (but maybe I’m doing something wrong?). But in CasperJS you can also use XPath selectors which are fine for matching n-th child of some element (x("//div[@class='modal-footer']/a[1]")).
    Update: :first and :last are not CSS3 selectors, but JQuery ones. Here is a list of CSS3 selectors, all of these are supported by CasperJS. So you can use nth-child(1) is this case. Thanks Andy and Nicolas for the comments!

Working with CasperJS can lead you to a few hour stall, but after getting things working you have a new, cool tool in your box!