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Replace Implicit Tree with Composite
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You implicitly form a tree structure, using a primitive representation, such as a String
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Replace your primitive representation with a Composite
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Motivation
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Data or code forms an implicit tree when it's not explicitly structured as a tree but may be represented as a tree For example, the code that creates the XML data in the previous code sketch outputs values like this: String expectedResult = "<orders>" + "<order id='321'>" + "<product id='f1234' color='red' size='medium'>" + "<price currency='USD'>" + "895" + "</price>" +
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"Fire Truck" + "</product>" + "<product id='p1112' color='red'>" + "<price currency='USD'>" + "2300" + "</price>" + "Toy Porshe Convertible" + "</product>" + "</order>" + "</orders>";
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The structure of this XML may be represented as the following tree
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Conditional logic can also form an implicit tree Consider the conditional logic in the following code, which queries products from a repository: public class ProductFinder public List belowPriceAvoidingAColor(float price, Color color) { List foundProducts = new ArrayList(); Iterator products = repositoryiterator(); while (productshasNext()) { Product product = (Product) productsnext(); if (
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productgetPrice() < price && productgetColor() != color)
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foundProductsadd(product); } return foundProducts; }
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The structure of this conditional logic may also be represented as a tree
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The implicit trees in these examples are different in nature, yet both may be modeled by using a Composite [DP] What's the primary motivation for such a refactoring To make the code simpler to work with and less bloated For example, producing XML as a Composite is simpler and requires less code when you don't have to repeatedly format and close tags: a Composite tag can do that work for you Transforming the above conditional logic to a Composite has a similar motivation, with one twist: the refactoring makes sense only when there is a proliferation of similar conditional logic: public class ProductFinder public List byColor(Color color)
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if (productgetColor() == color)
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public List byColorAndBelowPrice(Color color, float price)
if (productgetPrice() < price && productgetColor() == color)
public List byColorAndAbovePrice(Color color, float price) {
if (productgetColor() == color && productgetPrice() > price)
public List byColorSizeAndBelowPrice(Color color, int size, float price)
if (productgetColor() == color && productgetSize() == size && productgetPrice() < price)
The above methods may be generalized to a single query method by representing each product query as a Composite Replace Implicit Language with Interpreter (269) documents this transformation, which includes the implementation of a Composite Data-based implicit trees, like the earlier XML example, suffer from a tight coupling between the code that builds the implicit tree and how the tree is represented Refactoring to a Composite loosens this coupling; however, the resulting client code is then coupled to the Composite Sometimes you need another level of indirection to loosen such coupling For example, on one project client code sometimes needed a Composite for building XML and sometimes needed to produce XML via a DOM This led to the refactoring Encapsulate Composite with Builder (96) Implicit tree creation may be sufficient if your system doesn't create many trees or the trees are small and manageable You can always refactor to a Composite when it becomes hard to work with your implicit trees or your code begins to bloat because of implicit tree construction The choice may also involve where you are in the evolution of new code On a recent project, I was tasked with generating an HTML page from XML data using an XSLT processor For this task, I needed to generate XML that would be used in the XSLT transformation I knew I could use a Composite to build that XML, but I instead choose to build it by using an implicit tree Why Because I was more interested in going fast and facing every technical hurdle involved in doing the XSLT transformation than I was in producing good XML tree construction code After completing the XSLT transformation, I went back to refactor the primitive tree construction code to use a Composite because that code was going to be emulated in many areas of the system