- •contents
- •preface
- •acknowledgments
- •about this book
- •Special features
- •Best practices
- •Design patterns in action
- •Software directory
- •Roadmap
- •Part 1: JUnit distilled
- •Part 2: Testing strategies
- •Part 3: Testing components
- •Code
- •References
- •Author online
- •about the authors
- •about the title
- •about the cover illustration
- •JUnit jumpstart
- •1.1 Proving it works
- •1.2 Starting from scratch
- •1.3 Understanding unit testing frameworks
- •1.4 Setting up JUnit
- •1.5 Testing with JUnit
- •1.6 Summary
- •2.1 Exploring core JUnit
- •2.2 Launching tests with test runners
- •2.2.1 Selecting a test runner
- •2.2.2 Defining your own test runner
- •2.3 Composing tests with TestSuite
- •2.3.1 Running the automatic suite
- •2.3.2 Rolling your own test suite
- •2.4 Collecting parameters with TestResult
- •2.5 Observing results with TestListener
- •2.6 Working with TestCase
- •2.6.1 Managing resources with a fixture
- •2.6.2 Creating unit test methods
- •2.7 Stepping through TestCalculator
- •2.7.1 Creating a TestSuite
- •2.7.2 Creating a TestResult
- •2.7.3 Executing the test methods
- •2.7.4 Reviewing the full JUnit life cycle
- •2.8 Summary
- •3.1 Introducing the controller component
- •3.1.1 Designing the interfaces
- •3.1.2 Implementing the base classes
- •3.2 Let’s test it!
- •3.2.1 Testing the DefaultController
- •3.2.2 Adding a handler
- •3.2.3 Processing a request
- •3.2.4 Improving testProcessRequest
- •3.3 Testing exception-handling
- •3.3.1 Simulating exceptional conditions
- •3.3.2 Testing for exceptions
- •3.4 Setting up a project for testing
- •3.5 Summary
- •4.1 The need for unit tests
- •4.1.1 Allowing greater test coverage
- •4.1.2 Enabling teamwork
- •4.1.3 Preventing regression and limiting debugging
- •4.1.4 Enabling refactoring
- •4.1.5 Improving implementation design
- •4.1.6 Serving as developer documentation
- •4.1.7 Having fun
- •4.2 Different kinds of tests
- •4.2.1 The four flavors of software tests
- •4.2.2 The three flavors of unit tests
- •4.3 Determining how good tests are
- •4.3.1 Measuring test coverage
- •4.3.2 Generating test coverage reports
- •4.3.3 Testing interactions
- •4.4 Test-Driven Development
- •4.4.1 Tweaking the cycle
- •4.5 Testing in the development cycle
- •4.6 Summary
- •5.1 A day in the life
- •5.2 Running tests from Ant
- •5.2.1 Ant, indispensable Ant
- •5.2.2 Ant targets, projects, properties, and tasks
- •5.2.3 The javac task
- •5.2.4 The JUnit task
- •5.2.5 Putting Ant to the task
- •5.2.6 Pretty printing with JUnitReport
- •5.2.7 Automatically finding the tests to run
- •5.3 Running tests from Maven
- •5.3.2 Configuring Maven for a project
- •5.3.3 Executing JUnit tests with Maven
- •5.3.4 Handling dependent jars with Maven
- •5.4 Running tests from Eclipse
- •5.4.1 Creating an Eclipse project
- •5.4.2 Running JUnit tests in Eclipse
- •5.5 Summary
- •6.1 Introducing stubs
- •6.2 Practicing on an HTTP connection sample
- •6.2.1 Choosing a stubbing solution
- •6.2.2 Using Jetty as an embedded server
- •6.3 Stubbing the web server’s resources
- •6.3.1 Setting up the first stub test
- •6.3.2 Testing for failure conditions
- •6.3.3 Reviewing the first stub test
- •6.4 Stubbing the connection
- •6.4.1 Producing a custom URL protocol handler
- •6.4.2 Creating a JDK HttpURLConnection stub
- •6.4.3 Running the test
- •6.5 Summary
- •7.1 Introducing mock objects
- •7.2 Mock tasting: a simple example
- •7.3 Using mock objects as a refactoring technique
- •7.3.1 Easy refactoring
- •7.3.2 Allowing more flexible code
- •7.4 Practicing on an HTTP connection sample
- •7.4.1 Defining the mock object
- •7.4.2 Testing a sample method
- •7.4.3 Try #1: easy method refactoring technique
- •7.4.4 Try #2: refactoring by using a class factory
- •7.5 Using mocks as Trojan horses
- •7.6 Deciding when to use mock objects
- •7.7 Summary
- •8.1 The problem with unit-testing components
- •8.2 Testing components using mock objects
- •8.2.1 Testing the servlet sample using EasyMock
- •8.2.2 Pros and cons of using mock objects to test components
- •8.3 What are integration unit tests?
- •8.4 Introducing Cactus
- •8.5 Testing components using Cactus
- •8.5.1 Running Cactus tests
- •8.5.2 Executing the tests using Cactus/Jetty integration
- •8.6 How Cactus works
- •8.6.2 Stepping through a test
- •8.7 Summary
- •9.1 Presenting the Administration application
- •9.2 Writing servlet tests with Cactus
- •9.2.1 Designing the first test
- •9.2.2 Using Maven to run Cactus tests
- •9.2.3 Finishing the Cactus servlet tests
- •9.3 Testing servlets with mock objects
- •9.3.1 Writing a test using DynaMocks and DynaBeans
- •9.3.2 Finishing the DynaMock tests
- •9.4 Writing filter tests with Cactus
- •9.4.1 Testing the filter with a SELECT query
- •9.4.2 Testing the filter for other query types
- •9.4.3 Running the Cactus filter tests with Maven
- •9.5 When to use Cactus, and when to use mock objects
- •9.6 Summary
- •10.1 Revisiting the Administration application
- •10.2 What is JSP unit testing?
- •10.3 Unit-testing a JSP in isolation with Cactus
- •10.3.1 Executing a JSP with SQL results data
- •10.3.2 Writing the Cactus test
- •10.3.3 Executing Cactus JSP tests with Maven
- •10.4 Unit-testing taglibs with Cactus
- •10.4.1 Defining a custom tag
- •10.4.2 Testing the custom tag
- •10.5 Unit-testing taglibs with mock objects
- •10.5.1 Introducing MockMaker and installing its Eclipse plugin
- •10.5.2 Using MockMaker to generate mocks from classes
- •10.6 When to use mock objects and when to use Cactus
- •10.7 Summary
- •Unit-testing database applications
- •11.1 Introduction to unit-testing databases
- •11.2 Testing business logic in isolation from the database
- •11.2.1 Implementing a database access layer interface
- •11.2.2 Setting up a mock database interface layer
- •11.2.3 Mocking the database interface layer
- •11.3 Testing persistence code in isolation from the database
- •11.3.1 Testing the execute method
- •11.3.2 Using expectations to verify state
- •11.4 Writing database integration unit tests
- •11.4.1 Filling the requirements for database integration tests
- •11.4.2 Presetting database data
- •11.5 Running the Cactus test using Ant
- •11.5.1 Reviewing the project structure
- •11.5.2 Introducing the Cactus/Ant integration module
- •11.5.3 Creating the Ant build file step by step
- •11.5.4 Executing the Cactus tests
- •11.6 Tuning for build performance
- •11.6.2 Grouping tests in functional test suites
- •11.7.1 Choosing an approach
- •11.7.2 Applying continuous integration
- •11.8 Summary
- •Unit-testing EJBs
- •12.1 Defining a sample EJB application
- •12.2 Using a façade strategy
- •12.3 Unit-testing JNDI code using mock objects
- •12.4 Unit-testing session beans
- •12.4.1 Using the factory method strategy
- •12.4.2 Using the factory class strategy
- •12.4.3 Using the mock JNDI implementation strategy
- •12.5 Using mock objects to test message-driven beans
- •12.6 Using mock objects to test entity beans
- •12.7 Choosing the right mock-objects strategy
- •12.8 Using integration unit tests
- •12.9 Using JUnit and remote calls
- •12.9.1 Requirements for using JUnit directly
- •12.9.2 Packaging the Petstore application in an ear file
- •12.9.3 Performing automatic deployment and execution of tests
- •12.9.4 Writing a remote JUnit test for PetstoreEJB
- •12.9.5 Fixing JNDI names
- •12.9.6 Running the tests
- •12.10 Using Cactus
- •12.10.1 Writing an EJB unit test with Cactus
- •12.10.2 Project directory structure
- •12.10.3 Packaging the Cactus tests
- •12.10.4 Executing the Cactus tests
- •12.11 Summary
- •A.1 Getting the source code
- •A.2 Source code overview
- •A.3 External libraries
- •A.4 Jar versions
- •A.5 Directory structure conventions
- •B.1 Installing Eclipse
- •B.2 Setting up Eclipse projects from the sources
- •B.3 Running JUnit tests from Eclipse
- •B.4 Running Ant scripts from Eclipse
- •B.5 Running Cactus tests from Eclipse
- •references
- •index
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bCreate the JspTagLifecycle helper, passing to it the PageContext object and the tag instance you’re testing.
c d Configure the JspTagLifecycle object and tell it what to expect. In c, you tell it that the tag contains some nested text; in d, you tell it that you expect the tag body to be evaluated once (the doAfterBody tag method is called once and only once).
eWhen you call JspTagLifecycle.invoke, the JspTagLifecycle object executes the standard tag life cycle, calling the life cycle methods one after another. It also ver-
ifies that the expectations are met.
The advantage of this approach is that there is minimal setup in the test and the full tag life cycle is executed. However, you still benefit from the unit-test approach because you can perform server-side assertions after you have called lifecycle.invoke, such as verifying that an attribute the tag is supposed to set is effectively set, and so forth.
10.4.4Unit-testing collaboration tags
A collaboration tag is nested within another tag and needs to communicate with the parent tag in order to retrieve some value. Unit-testing a collaboration tag requires that you call setParent on the tag in your test case. Once this is done, the tag will correctly work when it invokes findAncestorWithClass or getParent to find the parent tag.
For example, you could write the following in the JspTestCase class:
MyParentTag parentTag = new MyParentTag();
parentTag.setXXX(value);
MyChildTag childTag = new MyChildTag(); childTag.setParent(parentTag);
[...]
10.5 Unit-testing taglibs with mock objects
You have seen that it isn’t possible to unit-test a JSP purely with the mock-objects approach because a JSP isn’t Java code. On the other hand, tag libraries (taglibs) are pure Java code, which should make them easy to test with mock objects. However, it isn’t that easy…. You need a mock object for PageContext, which is an abstract Java class.
In chapters 8 and 9, you learned that it’s easy to use mock objects when they are generated on the fly by frameworks such as EasyMock and DynaMock. However, these frameworks use the JDK 1.3+ Dynamic Proxy feature, which can only generate proxies for interfaces. It doesn’t work for classes.
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You’ll hit the same limitation if you’re stuck with a JDK older than version 1.3. You can always write mock objects by hand (tedious, but not so bad). However, there is a better solution: Use a mock-objects generation framework, like MockMaker, that generates mocks from classes.
10.5.1Introducing MockMaker and installing its Eclipse plugin
MockMaker (http://mockmaker.org/) is a build-time (as opposed to runtime) mock-object generation tool. It generates source files that need to be added to your project’s test source files before compilation. Under the hood, MockMaker uses the MockObjects.com framework, so the mocks it generates use that syntax and those conventions.
You can run MockMaker three ways: by running it as a Java application on the command line, by using the provided Ant task, or by using its Eclipse plugin. This section demonstrates how to run it as an Eclipse plugin, because that’s probably the easiest way to use MockMaker (at least, if you’re already using Eclipse!).
Installing the Eclipse plugin is easy: Get it from http://mockmaker.org/ and unzip the plugin in your ECLIPSE_HOME/plugins directory. (ECLIPSE_HOME is the directory where you have installed Eclipse.)
10.5.2Using MockMaker to generate mocks from classes
In this section, you’ll use MockMaker to generate a mock implementation of PageContext. In order to generate the PageContext mock using the Eclipse plugin (see figure 10.7), you need to select the class to mock first (PageContext). Then, right-click and choose MockMaker→Select Package to identify the output directory where MockMaker will generate the mock. Select the junitbook-pages/src/ test/junitbook/pages output directory. MockMaker generates a mock class named PageContext in that directory.
NOTE The current version of MockMaker (v1.12) doesn’t generate the Java imports needed by the generated mocks, so you’ll have to perform this step manually.
Let’s now write a mock-objects test for the DynaPropertiesTag class (see listing 10.9).
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Figure 10.7 Generating the PageContext mock using the MockMaker Eclipse plugin
Listing 10.9 Mock-objects test for DynaPropertiesTag
package junitbook.pages;
import junit.framework.TestCase;
import org.apache.commons.beanutils.DynaBean; import org.apache.commons.beanutils.DynaProperty; import org.apache.commons.beanutils.BasicDynaClass;
import javax.servlet.jsp.tagext.Tag;
public class TestDynaPropertiesMO extends TestCase
{
private DynaPropertiesTag tag;
private MockPageContext mockPageContext;
private DynaBean createDynaBean() throws Exception
{
DynaProperty[] props = new DynaProperty[] { new DynaProperty("id", String.class),
new DynaProperty("responsetime", Long.class)
};
BasicDynaClass dynaClass = new BasicDynaClass("requesttime", null, props);
DynaBean bean = dynaClass.newInstance(); bean.set("id", "12345");
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bean.set("responsetime", new Long(500));
return bean;
}
protected void setUp()
{
tag = new DynaPropertiesTag(); mockPageContext = new MockPageContext(); tag.setPageContext(mockPageContext);
}
public void testDoStartTag() throws Exception
{
DynaBean bean = createDynaBean();
mockPageContext.setupFindAttribute(bean); b mockPageContext.addExpectedFindAttributeValues("item"); c mockPageContext.addExpectedSetAttributeStringObjectValues( d
"var", bean.getDynaClass().getDynaProperties());
tag.setItem("${item}"); tag.setVar("var");
int result = tag.doStartTag();
assertEquals(Tag.SKIP_BODY, result);
}
protected void tearDown()
{
mockPageContext.verify(); e
}
}
As with all mock-objects tests, you need to go over all the mock-object methods that will be called and tell the mocks how to behave. In this simple case, only one mock method is called: PageContext.findAttribute (b). The second typical step with mock objects is to tell the mocks what values they should expect (c and d), so you can verify that the mocks methods were actually called with the expected values (e).
If you’re observant, you may have noticed a slight difference between the Cactus test implementation and the mock-objects implementation. Mocks usually need a deeper knowledge of the implementation than the Cactus tests. In b, you have to tell the mock that PageContext.findAttribute will be called and that it should return item. However, you aren’t calling findAttribute anywhere in the implementation of DynaPropertiesTag! That’s because you’re calling ExpressionEvaluatorManager.evaluate("item", ..., pageContext, ...). ExpressionEvaluatorManager is a utility class from the JSTL library. It uses the passed PageContext