jq is a powerful tool to work with JSON from the command-line. The tool has a lot of functions that makes our live easier. One of the functions is add which adds all elements in an array or values in an object. The function has no arguments. The elements in an array are added together if they are numbers and concatenated if they are strings. If the input is an object then the values are added together. When the input is an empty array or object then null is returned.

jq is a powerful tool to work with JSON from the command-line. The tool has a lot of functions that makes our live easier. With jq we can use expressions in strings that will be evaluated and inserted into the string value. This is called string interpolation. The expression is enclosed by parentheses and the first parenthesis is prefixed with a backslash: \(<expression>). The expression can be any valid jq expression and the result of the expression will be inserted into the string.

jq is a powerful tool to work with JSON from the command-line. The tool has a lot of functions that makes our live easier. For example we can use the keys and keys_unsorted functions to get the keys from an object. The function keys will return the keys in sorted order while keys_unsorted will return them in the original order from the object. With the same functions we can also get the indices of the elements in an array, but there is no sorting involved, so both functions return the same output.

jq is a powerful tool to work with JSON from the command-line. The tool has a lot of functions and operators that makes our live easier. One of the operators we can use is the alternative operator // which allows us to specify default values. If the value on the left side of the operator // is empty, null or false then the value on the right side is returned, otherwise the value itself is returned. The operator can be used multiple times if we want to have multiple fallbacks for a value we are checking.

In Groovy we can apply the @NullCheck annotation to a class, constructor or method. The annotation is an AST (Abstract Syntax Tree) transformation and will insert code that checks for null values in methods or constructors. If a null value is passed to an annotated method or constructor, it will throw an IllegalArgumentException. Without the annotation we could have a NullPointerException if we try to invoke a method on the value we pass as argument. The annotation has an optional property includeGenerated which by default is false. If we set it to true then the null checks are also applied to generated methods and constructors. This is very useful if we apply other AST transformations to our class that generates additional code.

The assertion error messages from AssertJ will use the toString() method of an object to give more insight about why the assertion could have failed. If an object doesn’t override the toString() method the default implementation is Object#toString(). The default implementation will print out the class name and an hexadecimal value of hashCode separated by a @. This doesn’t give much information about the actual object. For classes we have control over we can always implement a toString() method, but for third party classes we may not be able to do that. In order to customize how an object is represented in assertion error messages, AssertJ allows us to provide a custom representation class for an object. The custom representation class must implement the org.assertj.core.presentation.Representation interface. The interface has one method String toStringOf(Object) that should return a String representation of the object. If we want to keep the default behavior for other classes and only override it for our own class, we can extend the StandardRepresentation class and override the method String fallbackToStringOf(Object).

Since Java 16 we can use the method mapMulti(BiConsumer) of the Stream API. This method allows us to map each element of the stream to multiple elements. We can also do that with the flatMap(Function) method, but if we want to map a limited set of elements, mapMulti is more convenient. Internally a shared stream is used and we don’t have the cost of creating a new stream for each element. Another use case is if the logic to map an element to multiple elements is complex and is hard to implement by returning a stream. Then mapMulti allows us to write that logic in a BiConsumer instead of a Function.

For a lot of types AssertJ has special assertion methods. Also for the type Optional. If we want to assert an Optional value we can use several methods that AssertJ provides. For example to check if an Optional is present we can use isPresent() or the alias isNotEmpty(). To check if the Optional is empty we can use isEmpty() or the alias isNotPresent(). Checking the value of an Optional (if it is indeed set) can be done with hasValue() or contains(). For more fine grained assertions on the value we can use hasValueSatisfying(Condition) or hasValueSatisfying(Consumer). With the map(Function) and flatMap(Function) methods we can map the Optional, if not empty, to another value and assert that value.

AssertJ has a lot of custom assertion methods for different types. For example to assert an URL object AssertJ gives us some specific methods. We can check for different components of the URL instance with different methods. For example we can check if the protocol is equal to the protocol we expect with hasProtocol(String). Similarly we can write assertions for the host, port, authority, path and anchor. To assert query parameters we can use hasQueryParameter(String) to check if query parameter is set and with hasQueryParameter(String, String) we can check if the query parameter has an expected value. To check the whole query string we can use hasQueryString(String).

Each of the assertion methods also has version to assert a component is not present. For example hasNoQuery() to assert a query is not defined for an URL.

AssertJ has some nice methods to verify string values. If we want to verify a string value is Base64 encoded we can use the isBase64String() method. We can leave out the padding of the value as it is optional. With the method asBase64Decoded() we can decode the value and write our assertions for the decoded value. The method asBase64Decoded() returns a byte[] object and we can use the asString() to convert it into a string value again.

To compare string values we can use the isEqualTo(String) method in AssertJ. But if we want to verify that a string contains a certain variable value we can use string templates. This makes the assertion more readable as we can see what value we expect in the string. To use string templates we must the method isEqualTo(String, Object…​). The first argument is the string template and the following arguments will be the actual values that should be used in the template. Actually the String.format(String, Object…​) method is used behind the scenes to format the string template, but we don’t have to clutter our assertions with that call.

With the returns method in AssertJ we can verify an object using a function. This allows us to verify an object in a very flexible way. We can chain multiple returns method calls to verify multiple aspects of our object. The first argument of the returns method is the expected value of the function call. And the second argument is a function that calls a method on the object we want to verify. A simple function call would be a method reference using the class of the object. But we can also write our own function, where the argument of the function is actual object we are writing the assertion for. To verify the function doesn’t return an expected value we can use the method doesNotReturn.
We can also pass the function to the from method, available in the Assertions class. It can make the assertion more readeable as we can now read the code as: we expect the following value from calling this function.