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The Rebooted Design and Code
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To finish up, here s the fully rebooted design and code. Figure 10 11 shows the (much simplified) class diagram, now completely tangle-free. Compare this with the original Temple of Doom class diagram in Figure 9-1 to get the full effect.
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Figure 10 11.Class diagram for the Quote Hotel Price use case Here s the complete Hotel class: package com.softwarereality.nottherealmapplet; import static com.softwarereality.nottherealmapplet.SimpleRegistry.lookup; import java.math.BigDecimal; public class Hotel {
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Or, as our good friend Alice might say: Painting the unit test green.
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CHAPTER 10 DESIGN FOR EASIER TESTING
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private String id; public Hotel(String id) { this.id = id; } public BigDecimal quotePrice(int numNights) throws Exception { HotelPriceService service = (HotelPriceService) lookup.get(HotelPriceService.class); BigDecimal pricePerNight = service.fetchPrice(id); return calculateOverallPrice(pricePerNight, numNights); } BigDecimal calculateOverallPrice(BigDecimal pricePerNight, int numNights) { return pricePerNight.multiply(new BigDecimal(numNights)); }
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HotelPriceService, in real life, would implement a REST client (or similar HTTP/web service type of thing) to make calls to a remote service. For the example, we ve used a simple, stubbed-out version: public class HotelPriceService { public BigDecimal fetchPrice(String hotelID) { return new BigDecimal(300.0); } } Finally, SimpleRegistry which allows us to maintain a single instance of HotelPriceService without adopting the problematic Singleton design pattern is as simple as ever: public class SimpleRegistry { public static final Map<Class, Object> lookup = new HashMap<Class, Object>(); } We hope that gives you a good taste for the way in which going back to the use cases, talking to customers about what s really needed, doing some up-front design, and creating controller tests early on, all come together to make the code much easier to test and also radically simplify the design. The example that we started the chapter with might seem like an extreme case, but we ve seen production code like this way too often, where developers give up on unit testing because it s Too Damn Difficult. Yet if they followed the process we ve just described, the result would profoundly improve their code. Great swathes of code, boilerplate/plumbing classes, and so on, which might seem to be essential, suddenly turn out not to be.
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Summary
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This chapter presented the flipside to the antipatterns from 9. As you saw with the expurgated price calculator design, the introduction of a use case and controller testing resulted in a far simpler design, where the majority of design issues never even arose. There was no need to refactor them out of the code, as the antipatterns never even made it into the design. In the next chapter we look at an advanced topic, but one that we wholeheartedly recommend that you introduce into your project once you re familiar with DDT (which hopefully you are by now!): automated integration testing.
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C H A P T E R 11
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Automated Integration Testing
Automated integration testing is a pig, but it s an important pig. And it s important for precisely the reasons it s so difficult. The wider the scope of your automated test, the more problems you ll encounter; but these are also real-world problems that will be faced by your code, both during development and when it s released. So an integration test that breaks and they will break frequently, e.g., when a dependent system has changed unexpectedly isn t just a drag, it s providing an early warning that the system is about to break for real. Think of an integration test as your network canary. Integration tests are also important, and worth the pain of setting them up and keeping them working, because without them, you ve just got unit tests. By themselves, unit tests are too myopic; they don t assert that a complete operation works, from the point when a user clicks Go through the complete operation, to the results displayed on the user s screen. An end-to-end test confirms that all the pieces fit together as expected. Integration is potentially problematic in any project, which is why it s so important to test.
Note The scope of an integration test can range from a simple controller test (testing a small group of functions working together) to a complete end-to-end scenario encompassing several tiers middleware, database, etc. in an enterprise system. In this chapter we ll focus on integration tests that involve linking remote systems together.
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