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register.inclusion_tag('polls/result_snippet.html')(show_results) As always, Python 2.4 decorator syntax works as well, so we could have instead written this: @register.inclusion_tag('results.html') def show_results(poll): ... Sometimes, your inclusion tags need access to values from the parent template s context. To solve this, Django provides a takes_context option for inclusion tags. If you specify takes_ context in creating a template tag, the tag will have no required arguments, and the underlying Python function will have one argument: the template context as of when the tag was called. For example, say you re writing an inclusion tag that will always be used in a context that contains home_link and home_title variables that point back to the main page. Here s what the Python function would look like: @register.inclusion_tag('link.html', takes_context=True) def jump_link(context): return { 'link': context['home_link'], 'title': context['home_title'], }

To understand the ON DELETE option of the foreign key reference, consider the example of a foreign key constraint violation shown in Listing 7-3. Normally, it is impossible to remove parent (master) rows if the database still contains child (detail) rows. In Listing 7-3, we try to remove the XML course while the database still apparently contains XML course offerings. Listing 7-3. Example of a Foreign Key Constraint Violation SQL> delete from courses 2 where code = 'XML'; delete from courses * ERROR at line 1: ORA-02292: integrity constraint (BOOK.O_COURSE_FK) violated child record found SQL>

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By default, items are added at the end of an ordered list, unless explicit instructions are given to insert an item at a different position. An example of where we might use an ordered list in building our SRS would be to manage a wait list for a course that has become full. Because the order with which Student objects are added to such a list is preserved, we can be fair about selecting students from the wait list in first-come, first-served fashion should seats later become available in the course. Several predefined Java classes implement the notion of ordered list collections: ArrayList, LinkedList, Stack, Vector, etc. We ll use the ArrayList class in building the SRS, and so we ll discuss the details of working with ArrayLists a bit later in this chapter.

The template link.html might contain the following: Jump directly to <a href="{{ link }}">{{ title }}</a>. Then, anytime you want to use that custom tag, load its library and call it without any arguments, like so: {% jump_link %}

A dictionary also known as a map provides a means for storing each object reference along with a unique lookup key that can later be used to quickly retrieve the object (see Figure 6-4). The key is often contrived based on one or more of the object s attribute values. For example, a Student object s student ID number would make an excellent key, because its value is inherently unique for each Student.

The ON DELETE CASCADE option (see Figure 7-7) changes the behavior in such situations. The master/detail problems are solved by a cascading effect, in which, apart from the parent row, all child rows are implicitly deleted, too. The ON DELETE SET NULL option solves the same problem in a different way: the child rows are updated, rather than deleted. This approach is applicable only if the foreign key columns involved may contain null values, of course.

Items in a dictionary can typically also be iterated through one by one, in ascending key (or some other predetermined) order. The SRS might use a dictionary, indexed on course number, to manage its course catalog. With so many course offerings to keep track of, being able to pluck the appropriate Course object from a collection directly (instead of having to step through an ordered list one by one to find it) adds greatly to the efficiency of the application. Several examples of predefined Java classes that implement the notion of a dictionary are HashMap, Hashtable, and TreeMap. We ll use both the HashMap and TreeMap classes in building the SRS, and so we ll discuss the details of working with these specific collection types a bit later in this chapter.

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