33rd Degree day 3 review

At the last day of the conference, I’ve decided to skip the first presentations, and get some sleep instead. I was afraid that Venkat’s show is going to be too basic, I will see Jacek Laskowski talking about closure at 4Developers, which I’m kind of s…
At the last day of the conference, I’ve decided to skip the first presentations, and get some sleep instead. I was afraid that Venkat’s show is going to be too basic, I will see Jacek Laskowski talking about closure at 4Developers, which I’m kind of supervising from the Java perspective. As an afterthought, I should have gone to see “Static Code Analysis and AST Transformations” by Hamlet D’Arcy, as I really like this guy and the topic is intriguing at least, but I didn’t want to intoxicate myself more with coffee, and really needed to get some sleep.

MongoDB: Scaling Web Application

The first talk I’ve seen was by Ken Sipe. It was a very interesting case study, and I love case studies. They give you a real perspective, unlike the product-half-marketing that some authors are doing, and unlike self-marketing that some “professional” speakers perform. 
Ken had an interesting project at hand: a Facebook like social service, that deals with politic, named GoVote. Half of the presentation was a bit basic, with simple CRUD syntax, but when Ken started to talk about modeling, it got interesting.
Ken used Grails as the web framework and went through several plugins/libs to get him to the performance and efficiency he needed. Every one of them failed, except for GSP, which is a thing worth reflecting about. His lesson was not really surprising: you should not use any abstracts (ORM?), when playing with document databases. He sticked to GORM because of how fast his problems were solved on the mailing list and bug tracker, but GORM doesn’t really give you the resolution you want, when dealing with tree structures composed of documents.
My favourite part, albeit short, was about modeling. Ken managed to get ONE hit to DB per dynamic web page, something I’ve always dreamed of. His advice was to focus on use cases, and design document model with use cases in mind. You get a sign of bad design, when you find nested joins (hitting more than once for the data), and you can usually get away with tags, instead. Interesting stuff, I hope to verify that soon.

HTML5 For Developers

Nathaniel Schutta had a large presentation at hand, nothing he kind fit into only one hour, so he gave us a choice: what do we want to hear about. It turned out, the audience was most interested into Web Workers, local web storage and Canvas. Each had their caveats. 
Web workers allow to get some much needed concurrency  into heavy GUI (or game engines, I guess), work with a simple API where you can handle errors and spawn new workers.
Local storage is unfortunately limited by default to 5MB, and you may get unsuccessful persuading the user to change it. Apart from that, it’s a simple key-value store (both Strings), with storage events (think on-insert etc.), but current implementations handle those not without some problems.
Canvas was quite interesting. Though it has a very simple API, and only basic primitives implemented, I’ve already bought a 500 pages long book about it (and that’s without any info on all the libs build on top of it).

Ending keynotes

There were three ending keynotes, one from Nathaniel Schutta, Jurgen Appelo and the last from Robert C. Martin. As expected, those were entertaining, though unless you’ve been sleeping through the last three years in a cave, you would not be surprised by both craftsman. Jurgen, however, was quite a different animal.
His talk, titled “How to Change the World”, was based on his book “Management 3.0” and his work afterwards. I’ve been interested in the mechanics of change, since I’ve been trying to change with more or less luck, all the companies I’ve worked for. Jurgen has a lot to say in that matter, and I’ve been wrong on so many levels in my attitude towards change, that the talk was very refreshing.
You can take a look at his presentation here:
Overall, while it’s too early to say whether that was the best JVM conference in Poland this year, I can recommend 33rd on all grounds. I feel I can bet blindly on it next year. Grzegorz Duda delivers enormous knowledge in so little time and so little money.
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How to use mocks in controller tests

Even since I started to write tests for my Grails application I couldn't find many articles on using mocks. Everyone is talking about tests and TDD but if you search for it there isn't many articles.

Today I want to share with you a test with mocks for a simple and complete scenario. I have a simple application that can fetch Twitter tweets and present it to user. I use REST service and I use GET to fetch tweets by id like this: http://api.twitter.com/1/statuses/show/236024636775735296.json. You can copy and paste it into your browser to see a result.

My application uses Grails 2.1 with spock-0.6 for tests. I have TwitterReaderService that fetches tweets by id, then I parse a response into my Tweet class.


class TwitterReaderService {
Tweet readTweet(String id) throws TwitterError {
try {
String jsonBody = callTwitter(id)
Tweet parsedTweet = parseBody(jsonBody)
return parsedTweet
} catch (Throwable t) {
throw new TwitterError(t)
}
}

private String callTwitter(String id) {
// TODO: implementation
}

private Tweet parseBody(String jsonBody) {
// TODO: implementation
}
}

class Tweet {
String id
String userId
String username
String text
Date createdAt
}

class TwitterError extends RuntimeException {}

TwitterController plays main part here. Users call show action along with id of a tweet. This action is my subject under test. I've implemented some basic functionality. It's easier to focus on it while writing tests.


class TwitterController {
def twitterReaderService

def index() {
}

def show() {
Tweet tweet = twitterReaderService.readTweet(params.id)
if (tweet == null) {
flash.message = 'Tweet not found'
redirect(action: 'index')
return
}

[tweet: tweet]
}
}

Let's start writing a test from scratch. Most important thing here is that I use mock for my TwitterReaderService. I do not construct new TwitterReaderService(), because in this test I test only TwitterController. I am not interested in injected service. I know how this service is supposed to work and I am not interested in internals. So before every test I inject a twitterReaderServiceMock into controller:


import grails.test.mixin.TestFor
import spock.lang.Specification

@TestFor(TwitterController)
class TwitterControllerSpec extends Specification {
TwitterReaderService twitterReaderServiceMock = Mock(TwitterReaderService)

def setup() {
controller.twitterReaderService = twitterReaderServiceMock
}
}

Now it's time to think what scenarios I need to test. This line from TwitterReaderService is the most important:


Tweet readTweet(String id) throws TwitterError

You must think of this method like a black box right now. You know nothing of internals from controller's point of view. You're only interested what can be returned for you:

  • a TwitterError can be thrown
  • null can be returned
  • Tweet instance can be returned

This list is your test blueprint. Now answer a simple question for each element: "What do I want my controller to do in this situation?" and you have plan test:

  • show action should redirect to index if TwitterError is thrown and inform about error
  • show action should redirect to index and inform if tweet is not found
  • show action should show found tweet

That was easy and straightforward! And now is the best part: we use twitterReaderServiceMock to mock each of these three scenarios!

In Spock there is a good documentation about interaction with mocks. You declare what methods are called, how many times, what parameters are given and what should be returned. Remember a black box? Mock is your black box with detailed instruction, e.g.: I expect you that if receive exactly one call to readTweet with parameter '1' then you should throw me a TwitterError. Rephrase this sentence out loud and look at this:


1 * twitterReaderServiceMock.readTweet('1') >> { throw new TwitterError() }

This is a valid interaction definition on mock! It's that easy! Here is a complete test that fails for now:


import grails.test.mixin.TestFor
import spock.lang.Specification

@TestFor(TwitterController)
class TwitterControllerSpec extends Specification {
TwitterReaderService twitterReaderServiceMock = Mock(TwitterReaderService)

def setup() {
controller.twitterReaderService = twitterReaderServiceMock
}

def "show should redirect to index if TwitterError is thrown"() {
given:
controller.params.id = '1'
when:
controller.show()
then:
1 * twitterReaderServiceMock.readTweet('1') >> { throw new TwitterError() }
0 * _._
flash.message == 'There was an error on fetching your tweet'
response.redirectUrl == '/twitter/index'
}
}

| Failure: show should redirect to index if TwitterError is thrown(pl.refaktor.twitter.TwitterControllerSpec)
| pl.refaktor.twitter.TwitterError
at pl.refaktor.twitter.TwitterControllerSpec.show should redirect to index if TwitterError is thrown_closure1(TwitterControllerSpec.groovy:29)

You may notice 0 * _._ notation. It says: I don't want any other mocks or any other methods called. Fail this test if something is called! It's a good practice to ensure that there are no more interactions than you want.

Ok, now I need to implement controller logic to handle TwitterError.


class TwitterController {

def twitterReaderService

def index() {
}

def show() {
Tweet tweet

try {
tweet = twitterReaderService.readTweet(params.id)
} catch (TwitterError e) {
log.error(e)
flash.message = 'There was an error on fetching your tweet'
redirect(action: 'index')
return
}

[tweet: tweet]
}
}

My tests passes! We have two scenarios left. Rule stays the same: TwitterReaderService returns something and we test against it. So this line is the heart of each test, change only returned values after >>:


1 * twitterReaderServiceMock.readTweet('1') >> { throw new TwitterError() }

Here is a complete test for three scenarios and controller that passes it.


import grails.test.mixin.TestFor
import spock.lang.Specification

@TestFor(TwitterController)
class TwitterControllerSpec extends Specification {

TwitterReaderService twitterReaderServiceMock = Mock(TwitterReaderService)

def setup() {
controller.twitterReaderService = twitterReaderServiceMock
}

def "show should redirect to index if TwitterError is thrown"() {
given:
controller.params.id = '1'
when:
controller.show()
then:
1 * twitterReaderServiceMock.readTweet('1') >> { throw new TwitterError() }
0 * _._
flash.message == 'There was an error on fetching your tweet'
response.redirectUrl == '/twitter/index'
}

def "show should inform about not found tweet"() {
given:
controller.params.id = '1'
when:
controller.show()
then:
1 * twitterReaderServiceMock.readTweet('1') >> null
0 * _._
flash.message == 'Tweet not found'
response.redirectUrl == '/twitter/index'
}


def "show should show found tweet"() {
given:
controller.params.id = '1'
when:
controller.show()
then:
1 * twitterReaderServiceMock.readTweet('1') >> new Tweet()
0 * _._
flash.message == null
response.status == 200
}
}

class TwitterController {

def twitterReaderService

def index() {
}

def show() {
Tweet tweet

try {
tweet = twitterReaderService.readTweet(params.id)
} catch (TwitterError e) {
log.error(e)
flash.message = 'There was an error on fetching your tweet'
redirect(action: 'index')
return
}

if (tweet == null) {
flash.message = 'Tweet not found'
redirect(action: 'index')
return
}

[tweet: tweet]
}
}

The most important thing here is that we've tested controller-service interaction without logic implementation in service! That's why mock technique is so useful. It decouples your dependencies and let you focus on exactly one subject under test. Happy testing!