# Let’s Create Coffee Using the Decorated Pattern With the Help of Lambda Expression

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`java.util.function.Function<T, R>` is a functional interface. It takes a type `T` and returns to a type `R`. We mostly use it to transform a type into a different one. But, it doesn’t end there. We can use this into a lambda expression to change a value as well. For example:

``````Function<Integer, Integer> doubleIt = a -> a * 2;
``````

Over here, we are receiving and in integer but returning after doubling it. Thus, we can pass this function as an argument of a method as well.

``````static Integer transform(Integer value, Function<Integer, Integer> func) {
var applied = func.apply(value);
return applied;
}
``````

And, use it as follows:

``````var doubled = transform(4, doubleIt);
System.out.println("doubled = " + doubled);
``````

It will print 8.

Similarly, we can pass many other lambda expressions into the transform method.

``````Function<Integer, Integer> squareIt = a -> a * a;
Function<Integer, Integer> cubeIt = a -> a * a * a;

var squared = transform(4, squareIt);
System.out.println("square of 4 = " + squared);
var cubed = transform(5, cubeIt);
System.out.println("cube of 5 = " + cubed);
``````

We may have another requirement, for example, we need to cube a value and then increment it by 1.
We can do it in two steps.

``````Function<Integer, Integer> cubeIt = a -> a * a * a;
Function<Integer, Integer> incrementByOne = a -> a + 1;

var cubedOf5 = cubeIt.apply(5);
var cubedAndIncremented = incrementByOne.apply(cubedOf5);
``````

However, the above code doesn’t look concise at all.
We can fix it using the default method of the `Function` interface, which is `andThen()`, and it takes a function as an argument. Using it, we can chain up multiple functions together. The above code would look like this:

``````transform(5, cubeIt.andThen(incrementByOne));
``````

This is a one-liner and looks both concise and straightforward.

We can use this concept to implement the decorator pattern. This pattern lets you attach new behaviors to objects at runtime.

We will make coffee with as many ingredients as we can put into a cup using the decorator pattern. When we do it, our coffee cup should look like this:

``````var ingredients = List.of("Tim Horton");
var coffeeCup = new CoffeeCup(ingredients);

var coffee = getCoffeeWithExtra(coffeeCup,
Coffee::withSaltedCaramelFudge,
Coffee::withSweetenedMilk,
Coffee::withVanillaAlmondExtract);

System.out.println("Coffee with " + String.join(", ", coffee.ingredients()));

``````

We will grab a Tim Horton and then keep adding extra ingredients to it using the `getCoffeeWithExtra()` method.

Let’s look at the getCoffeeWithExtra() method:

``````static Coffee getCoffeeWithExtra(Coffee coffee, Function<Coffee, Coffee>... ingredients) {
var reduced = Stream.of(ingredients)
.reduce(Function.identity(), Function::andThen);
return reduced.apply(coffee);
}
``````

This method takes a coffee and an array of functions that transform the coffee exactly the way we saw in the transform method. We have reduced the function array into one using stream, we have then applied it to the coffee, and returned it. Let’s look into the Coffee interface. It has only one method and a few static methods.

The stream has this reduce function, which takes an identity function as its first parameter; the second parameter is another functional interface named `BinaryOperator`.
The identity function is a function that doesn’t do anything; basically, it returns the same value that it gets as a parameter. Without the method reference, it looks like the following:

``````    var reduce1 = Stream.of(ingredients)
.reduce(kopi -> kopi, (func1, func2) -> func1.andThen(func2));
``````

Note(From javaDoc): The reduce function performs a reduction on the elements of this stream, using the provided identity value and an associative accumulation function, and returns the reduced value. This is equivalent to:

Java

`````` T result = identity;
for (T element : this stream)
result = accumulator.apply(result, element)
return result;``````

Let’s look at the coffee interface now.

Java

``````@FunctionalInterface
interface Coffee {
List<String> ingredients();

static Coffee withSaltedCaramelFudge(Coffee coffee) {
return () -> coffee.add("Salted Caramel Fudge");
}

return new ArrayList<>(ingredients()) {{
}};
}

static Coffee withSweetenedMilk(Coffee coffee) {
}

}

static Coffee withVanillaAlmondExtract(Coffee coffee) {
}
}``````

These static methods are for convenience. We can keep adding these methods as our ingredient list grows. The benefit is, when we will use them, we will be able to use method references, which will make our code concise.

Let’s put everything together.

Java

``````package com.bazlur;

import java.util.ArrayList;
import java.util.List;
import java.util.function.Function;
import java.util.stream.Stream;

public class Day012 {

public static void main(String[] args) {
var ingredients = List.of("Tim Horton");
var coffeeCup = new CoffeeCup(ingredients);

var coffee = getCoffeeWithExtra(coffeeCup,
Coffee::withSaltedCaramelFudge,
Coffee::withSweetenedMilk,
Coffee::withVanillaAlmondExtract);

System.out.println("Coffee with " + String.join(", ", coffee.ingredients()));
}

@SafeVarargs
static Coffee getCoffeeWithExtra(Coffee coffee, Function<Coffee, Coffee>... ingredients) {
var reduced = Stream.of(ingredients)
.reduce(Function.identity(), Function::andThen);
return reduced.apply(coffee);
}

@FunctionalInterface
interface Coffee {
static Coffee withSaltedCaramelFudge(Coffee coffee) {
return () -> coffee.add("Salted Caramel Fudge");
}

return new ArrayList<>(ingredients()) {{
}};
}

List<String> ingredients();

static Coffee withSweetenedMilk(Coffee coffee) {
}

}

static Coffee withVanillaAlmondExtract(Coffee coffee) {
}
}

record CoffeeCup(List<String> initialIngredient) implements Coffee {
@Override
public List<String> ingredients() {
return initialIngredient;
}
}
}
``````

``````% java Day012.java
Coffee with Tim Horton, Dark Cookie Crumb, Salted Caramel Fudge, Sweetened Milk, Vanilla/Almond Extract
``````
Topics:
java, lambda expression, decorator design pattern, design pattern, tutorial

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