The is macro in the clojure.test namespace can be used to write assertions about the code we want to test. Usually we provide a predicate function as argument to the is macro. The prediction function will call our code under test and return a boolean value. If the value is true the assertion passes, if it is false the assertion fails. But we can also provide a custom assertion function to the is macro. In the clojure.test package there are already some customer assertions like thrown? and instance?. The assertions are implemented by defining a method for the assert-expr multimethod that is used by the is macro. The assert-expr multimethod is defined in the clojure.test namespace. In our own code base we can define new methods for the assert-expr multimethod and provide our own custom assertions. This can be useful to make tests more readable and we can use a language in our tests that is close to the domain or naming we use in our code.

The clojure.test namespace has the are macro that allows us to combine multiple test cases for the code we want to test, without having to write multiple assertions. We can provide multiple values for a function we want to test together with the expected values. Then then macro will expand this to multiple expressions with the is macro where the real assertion happens. Besides providing the data we must also provide the predicate where we assert our code under test. There is a downside of the are macro and that is that in case of assertion failures the line numbers in the error message could be off.

The namespace clojure.pprint has some useful function to pretty print different data structures. The function print-table is particularly useful for printing a collection of maps, where each map represents a row in the table, and the keys of the maps represent the column headers. The print-table function accepts the collection as argument and prints the table to the console (or any writer that is bound to the *out* var). We can also pass a vector with the keys we want to include in the table. Only the keys we specify are in the output. The order of the keys in the vector we pass as argument is also preserved in the generated output.

When we mock a method that returns a Stream we need to make sure we return a fresh Stream on each invocation to support multiple calls to the mocked method. If we don’t do that, the stream will be closed after the first call and subsequent calls will throw exceptions. We can chain multiple thenReturn calls to return a fresh Stream each time the mocked method is invoked. Or we can use multiple arguments with the thenReturn method, where each argument is returned based on the number of times the mocked method is invoked. So on the first invocation the first argument is returned, on second invocation the second argument and so on. This works when we know the exact number of invocations in advance. But if we want to be more flexible and want to support any number of invocations, then we can use thenAnswer method. This method needs an Answer implementation that returns a value on each invocation. The Answer interface is a functional interface with only one method that needs to be implemented. We can rely on a function call to implement the Answer interface where the function gets a InvocationOnMock object as parameter and returns a value. As the function is called each time the mocked method is invoked, we can return a Stream that will be new each time.

A Gradle build file describes what is needed to build our Java project. We apply one or more plugins, configure the plugins, declare dependencies and create and configure tasks. We have a lot of freedom to organize the build file as Gradle doesn’t really care. So to create maintainable Gradle build files we need to organize our build files and follow some conventions. In this post we focus on organizing the tasks and see if we can find a good way to do this.

It is good to have a single place where all the tasks are created and configured, instead of having all the logic scattered all over the build file. The TaskContainer is a good place to put all the tasks. To access the TaskContainer we can use the tasks property on the Project object. Within the scope of the tasks block we can create and configure tasks. Now we have a single place where all the tasks are created and configured. This makes it easier to find the tasks in our project as we have a single place to look for the tasks.

The IntelliJ HTTP Client is very useful for testing APIs. We can use Javascript to look at the response and write tests with assertions about the response. If an API returns a JSON Web Token (JWT), we can use a Javascript function to decode the token and extract information from it. For example we can then assert that fields of the token have the correct value. There is no built-in support in IntelliJ HTTP Client to decode a JWT, but we can write our own Javascript function to do it. We then use the function in our Javascript response handler to decode the token.

It is good practice in Gradle to use lazy configuration. This makes builds faster as only configuration values are evaluated when needed. We should try to not let Gradle spend time on evaluating configuration values that will not be used. For example tasks that are not executed could still be configured by Gradle. If we make sure the configuration of these tasks is lazy we can save time.

Gradle gives us a lazy way to get the value of a Java system property. In our build script we can use the providers property of type ProviderFactory and the method systemProperty(String). This method returns a Provider<String> instance that can be used to get the value of a system property in a lazy way. The method systemProperty can also be used with a Provider<String> argument.

It is good practice in Gradle to use lazy configuration. This makes builds faster as only configuration values are evaluated when needed. We should try to not let Gradle spend time on evaluating configuration values that will not be used. For example tasks that are not executed could still be configured by Gradle. If we make sure the configuration of these tasks is lazy we can save time.

Gradle gives us a lazy way to get the value of an environment variable. In our build script we can use the providers property of type ProviderFactory and the method environmentVariable(String). This method returns a Provider<String> instance that can be used to get the value of an environment variable in a lazy way.

When we use the IntelliJ HTTP Client we can write JavaScript for the pre-request and response handlers. If we want to access an environment variable in JavaScript we can use request.environment.get(string). The argument for the get function is the name of the environment variable we want to get the value for. Environment variables can be defined in the file http-client.env.json or in http-client.private.env.json.

The built-in IntelliJ HTTP Client is very useful for testing HTTP requests and responses. If we want to define a variable in our .http file that is only used in this file and will not change per environment we can define it using the following syntax: @<variable name> = variable value. The variable is an in-place variable and the scope of the variable in the current .http file. The variable is immutable and can only be defined with a value once and cannot be overwritten. To refer to the variable we use the syntax {{}}.

The command line option --continuous or the short version -t enables Gradle’s continous build. For a continuous build Gradle will keep on running and will re-execute the tasks we invoked if the input or of the input of one of the depended tasks has changed. For a project with the java plugin we can use this option for the test task. Gradle will run the test task and after the task has been executed Gradle will wait for any changes in the input of the task. This means if we change our Java test code in src/test/java and save the source file Gradle will re-execute the test task and show the output. But also if the input of other tasks changes, that the test task depends on, the test is re-executed. So also changes in source files in our src/main/java directory will trigger a re-execute of the test task, because the test task depends on the compileJava task, and the compileJava task has the src/main/java directory as input.

With the java plugin we can configure a so-called Java toolchain. The toolchain configuration is used to define which Java version needs to be used to compile and test our code in our project. The location of the Java version can be determined by Gradle automatically. Gradle will look at known locations based on the operating system, package managers, IntellIJ IDEA installations and Maven Toolchain configuration.

But we can also define the locations of our Java installations ourselves using the project property org.gradle.java.installations.paths. We provide the paths to the local Java installations as a comma separated list as value for this property. When we set this property we can also disable the Gradle toolchain detection mechanism, so only the Java installations we have defined ourselves are used. To disable the automatic detection we set the property org.gradle.java.installations.auto-detect to false. If we leave the value to the default value true, then the locations we set via org.gradle.java.installations.paths are added to the Java installations already found by Gradle.

The property org.gradle.java.installations.paths is a project property we can set via the command line, but we can also set it in the gradle.properties file in our GRADLE_USER_HOME directory. Then the values we define will be used by all Gradle builds on our machine.