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Next, let s transform xmlBooks using a RuleTransformer:

The forward slashes at the start and the end are the usual delimiters for a regular expression, so those can be ignored. The first section is \. and this represents a full stop.

The Close Order user story is the last one we ll implement in this sprint. It is used by George (after he has shipped the order) to set the order status to closed. The user story requires that we change the close action in order_controller.rb as follows: def close order = Order.find(params[:id]) order.close flash[:notice] = "Order #{order.id} has been closed" redirect_to :action => 'index', :id => 'closed' end The code finds the specified order and calls the close method on the Order model (app/models/order.rb): def close self.status = 'closed' save! end This method sets the status to closed and saves the order. After this, the action sets a flash message and redirects to the Closed section of the view orders page. Test the Close Order user story by closing an order. View the details of a processed order (click the View button for the transaction on the view orders page), and you should see the Close Order button at the bottom of the order details page, as shown in Figure 9-16. Click the Close Order button, and you are redirected to the page shown in Figure 9-17. This ends our implementation of the checkout and order-processing functionality. However, you still need to take into account two other items when processing orders: shipping costs and taxes. We ll take a brief look at those calculations next.

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scala> new RuleTransformer(removeIt).transform(xmlBooks)

The reason why you can t just use . without the backslash in front is because . represents any character in a regular expression (as covered in 3), so it needs to be escaped with the backslash to identify itself as a literal full stop. This also explains why the question mark is escaped with a backslash, as a question mark in a regular expression usually means zero or one of the previous character also covered in 3. The ! is not escaped, as it has no other meaning in terms of regular expressions. The pipes (| characters) separate the three main characters, which means they re treated separately so that split can match one or another of them. This is what allows the split to split on periods, question marks, and exclamation marks all at the same time. You can test it like so:

Paragraphs can also be split apart with regular expressions. Whereas paragraphs in a printed book, such as this one, tend not to have any spacing between them, paragraphs that are typed on a computer typically do, so you can split by a double newline (as represented by the special combination \n\n simply, two newlines in succession) to get the paragraphs separated. For example:

res0: Seq[scala.xml.Node] = <books instruction="update"> <book instruction="add" status="" name="book2"></book> </books>

text = %q{ This is a test of paragraph one. This is a test of paragraph two. This is a test of paragraph three. } puts text.split(/\n\n/).length

For calculating Federal Express (FedEx) and United Parcel Service (UPS) shipping costs, you can use the handy Shipping RubyGem (http://shipping.rubyforge.org/).

Let s add both these concepts to analyzer.rb:

The rule transformer applied our removeIt rule to the input and transformed this to the output. Let s create a RewriteRule to process the add instruction:

paragraph_count = text.split(/\n\n/).length puts "#{paragraph_count} paragraphs" sentence_count = text.split(/\.|\ |!/).length puts "#{sentence_count} sentences"

val addIt = new RewriteRule { override def transform(n: Node): NodeSeq = n match { case e: Elem if (e \ "@instruction").text == "add" => new Elem(e.prefix, e.label, e.attributes.remove("instruction"), e.scope, transform(e.child) ++ <added>I added this</added> :_*) case n => n } }

The final statistics required for your basic application are the average number of words per sentence, and the average number of sentences per paragraph. You already have the paragraph, sentence, and word counts available in the variables word_count, paragraph_count, and sentence_count, so only basic arithmetic is required, like so: