Writing Zope Products
Last month, we continued our discussion of the Zope web development environment by installing and examining Zope products. As we saw, each product is actually a Python object module that can be instantiated one or more times on a Zope server. Hundreds of products are available for Zope, ranging from a small and lightweight fortune-teller to the large and impressive content management framework (CMF).
Many Zope administrators are content to install and use the products that they can download from the Web. And indeed, there are enough products to satisfy most basic sites; whatever you cannot do with an existing product is often simple enough to create in DTML, Zope's Dynamic Template Markup Language (described in the February 2002 issue of LJ).
But as easy and straightforward as it may be to do many tasks in DTML, it is neither as complete nor as flexible as Python. And while the addition of PythonScripts (and PerlScripts!) in Zope has certainly reduced the need to write products for many medium-sized tasks, most Zope hackers eventually find themselves writing a product of some sort.
This month, we look at how to build a simple Zope product that we can then integrate into our site. As you will see, it is quite easy to create a Zope product that integrates well into the rest of this environment.
At its core, a Zope product is a Python module. The product (as we saw last month) is installed into the lib/python/Products directory under the main Zope directory. Zope looks for products when it is started (or restarted), which means that you must start or restart Zope after installing a new product.
We can instantiate an installed product as many times as we like, placing each instance somewhere in the web hierarchy. Each instance has a unique “id” attribute that both uniquely identifies it within a folder and allows us to invoke methods on the object.
If this already sounds confusing, remember that the URL /foo/bar normally means that a web server should retrieve the file “bar” within the directory “foo”. But in Zope, the URL foo/bar means that the system should invoke the method “bar” on the object “foo”. In other words, foo/bar gets turned into foo.bar. And when we say “the object foo”, we really mean to say, “the object whose ID is foo”. Setting the ID is essential if we are going to invoke methods on our object successfully.
We also will need to define a meta_type for our product. The meta_type name is the text string that will appear in the Add pull-down list of Zope products in the upper-right corner of the /manage screen. In general, you can name the meta_type the same as your class or perhaps something a bit easier to understand. Remember that items in the Add menu are displayed in ASCII order, which means that capital “Z” comes before lowercase “a”.
To create our own product, we need to do the following:
Define a class in its own module and install it in lib/python/Products.
Define an __init__ method in which we assign the “id” instance variable a value.
Define one or more methods whose return value is a text string containing HTML.
Define a meta_type class variable, which sets the meta_type for all instances of our product.
This turns out to be surprisingly simple to do, as you can see in Listing 1, which defines helloworld.py, a simple Zope product that you can install and almost instantiate in your site. (We'll soon see how to get around these limitations.)
There are several important items to notice in our helloworld class. For starters, the class and its methods contain documentation strings. It's always a good idea to write docstrings, and Python's inclusion of such a feature is a rare and refreshing reminder that programmers can and should include documentation along with the source code. Zope enforces this restriction by mandating that classes and methods must include docstrings if you want them to be used in the system.
Our class also defines two methods, __init__ and index_html. The __init__ method is invoked automatically by Zope when it creates an instance of our object and typically is used to initialize instance variables and define other behaviors that will be needed later on. In this particular case, __init__ defines a single instance variable (self.id) that allows our object to keep track of its identity. As you might expect, __init__ is not meant to be invoked from the outside world, but rather from within Zope itself.
The index_html method, by contrast, is designed to be invoked via a URL. If we place an instance of “helloworld” in the root (/) directory of our Zope server, we can invoke the index_html method on it with a URL of /helloworld/index_html. But index_html is special; like the index.html file on many Apache servers, it is invoked by default if no other method is named explicitly.
Finally, notice that index_html returns HTML to its caller. It does not return a status code or anything other than the HTML.
|Updates from LinuxCon and ContainerCon, Toronto, August 2016||Aug 23, 2016|
|NVMe over Fabrics Support Coming to the Linux 4.8 Kernel||Aug 22, 2016|
|What I Wish I’d Known When I Was an Embedded Linux Newbie||Aug 18, 2016|
|Pandas||Aug 17, 2016|
|Juniper Systems' Geode||Aug 16, 2016|
|Analyzing Data||Aug 15, 2016|
- Updates from LinuxCon and ContainerCon, Toronto, August 2016
- What I Wish I’d Known When I Was an Embedded Linux Newbie
- Download "Linux Management with Red Hat Satellite: Measuring Business Impact and ROI"
- NVMe over Fabrics Support Coming to the Linux 4.8 Kernel
- New Version of GParted
- All about printf
- Tor 0.2.8.6 Is Released
- Returning Values from Bash Functions
- Better Cloud Storage with ownCloud 9.1
With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide