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LOOP RETURN NEXT outCartSavedProductRow; END LOOP; END; $$; The shopping_cart_get_saved_products function returns the products saved for later in the shopping cart specified by the inCartId parameter. 8. Use the query tool to execute this code, which creates the shopping_cart_get_total_amount function in your hatshop database: -- Create shopping_cart_get_total_amount function CREATE FUNCTION shopping_cart_get_total_amount(CHAR(32)) RETURNS NUMERIC(10, 2) LANGUAGE plpgsql AS $$ DECLARE inCartId ALIAS FOR $1; outTotalAmount NUMERIC(10, 2); BEGIN SELECT INTO outTotalAmount SUM(COALESCE(NULLIF(p.discounted_price, 0), p.price) * sc.quantity) FROM shopping_cart sc INNER JOIN product p ON sc.product_id = p.product_id WHERE sc.cart_id = inCartId AND sc.buy_now; RETURN outTotalAmount; END; $$; The shopping_cart_get_total_amount function returns the total value of the products in the shopping cart. This is called when displaying the total amount for the shopping cart. If the cart is empty, total_amount will be 0. 9. Use the query tool to execute this code, which creates the shopping_cart_save_product_for_later function in your hatshop database: -- Create shopping_cart_save_product_for_later function CREATE FUNCTION shopping_cart_save_product_for_later(CHAR(32), INTEGER) RETURNS VOID LANGUAGE plpgsql AS $$ DECLARE inCartId ALIAS FOR $1; inProductId ALIAS FOR $2; BEGIN UPDATE shopping_cart SET buy_now = false, quantity = 1 WHERE cart_id = inCartId AND product_id = inProductId; END; $$;

ne of the most important advantages of an Internet store compared to a brick-and-mortar location is the capability to customize the web site for each visitor based on his or her preferences or based on data gathered from other visitors with similar preferences If your web site knows how to suggest additional products to your visitor in a clever way, he or she might end up buying more than initially planned In this chapter, you ll implement a simple, but efficient, product recommendations system in your HatShop web store You can implement a product recommendations system in several ways, depending on your kind of store Here are a few popular ones: Up-Selling: Up-selling is defined as the strategy of offering consumers the opportunity to purchase an upgrade or a little extra based on their requested purchase.

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The action variable in JavaScript is just the WebProxyAction we created in createActions, back in Listing 5 9. It gets added to the JavaScript context each time the context gets cleared in our addProxyObjects slot, which you see in Listing 5 13.

<style in="@{checkstyle-xml-report-file}" out="@{checkstyle-html-report-file}" style="@{checkstyle-stylesheet}" /> </sequential> </macrodef> A sample Checkstyle report is shown in Figure 3-6.

Perhaps the most famous example of up-selling Would you like to super-size that is mentioned to customers when they order a value meal at McDonalds This seemingly innocent request greatly increases the profit margin Cross-Selling: Cross-selling is defined as the practice of offering customers complementary products Continuing with the McDonalds analogy, you ll always hear the phrase Would you like fries with that when someone orders a hamburger Because it s widely acknowledged that fries go with burgers, and the consumer is ordering a burger, then its likely that the consumer also likes french fries the mere mention of french fries is likely to generate a new sale Featured products on the home page: HatShop already permits the site administrator to choose the products featured on the main page and on the department pages In this chapter, you ll implement a dynamic recommendations system with both up-selling and cross-selling strategies.

Listing 5 13. Adding a QObject to the web vie. void MainController::addProxyObjects() { mItemWidget-> page()-> currentFrame()-> addToJavaScriptWindowObject("action", mBackAction, QScriptEngine::QtOwnership); }

This system has the advantage of not needing manual maintenance Because at this point HatShop retains what products were sold, you will implement a customers who bought this product also bought feature in this chapter..

Although I don t advocate counting code lines, classes, or methods as a measure of a project s success, static code analysis can help you pinpoint some areas of unnecessary complexity that can lead to the discovery of potential bugs or high-maintenance code. JavaNCSS is a simple source-measurement tool for Java that provides that following basic types of analysis: NCSS: Noncommenting source statements provide counts of many features of the code such as lines of code, declarations, methods, statements, constructors, and so on. CCN: Cyclomatic complexity number (McCabe metric). McCabe s cyclomatic complexity metric looks at a program s control flow graph as a measure of its complexity.

In HatShop, you ll implement the dynamic recommendations system in the visitor s shopping cart and in the product details page. After adding the new bits to your shop, the product details page will contain the product recommendations list at the bottom of the page, as shown in Figure 10-1.

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