Create User Interfaces with Glade
GladeBase automates the conversion of Gtk+ widget hierarchies to Python object hierarchies and automatically connects Python-based signal handlers, but it still requires you to identify and implement all of the signal handlers defined in a Glade project file. For pure Gtk+ projects this is no problem because the only signal handlers are the ones you explicitly define.
However, when you use Glade to build a GNOME application, many signal handlers are defined automatically. For example, a new Gnome Application window is created with a standard menubar whose menu items all have predefined activate signal handlers. It can be tedious to browse through GNOME-based projects, manually locating predefined signal handlers and adding them to your application controllers.
As noted earlier, Glade project files are stored in an XML format (as of yet there is no DTD describing the structure of a project file, but it is easy to understand by inspection). Python 2.0 includes an XML library, layered atop James Clark's Expat library. So it's fairly easy to build a Python application that rummages through a Glade project file, identifies all of the signal handlers declared in a given widget hierarchy and generates a stubbed Controller module for that hierarchy.
GladeProjectSignals.py (see Listing 3 at ftp://ftp.linuxjournal.com/pub/lj/listings/issue87/) extracts signal-handler information from a Glade project file. The module has two main abstractions. Class WidgetTreeSignals traverses an XML DOM (document object model) tree representing a widget hierarchy and records all of the signal handler declarations it finds. Class GladeProjectSignals loads a Glade project file and builds up a dictionary of WidgetTreeSignal instances, one for each top-level widget defined in the project file.
The constructor for WidgetTreeSignals takes a DOM node as argument. It assumes this node describes a widget and expects it to contain a name node defining the widget's name. Having recorded the widget's name, WidgetTreeSignals walks the DOM tree. It checks each visited node to see if it is a signal node. If it is, WidgetTreeSignals records the value of the node's handler child, which should be the name of a signal handler. Otherwise, WidgetTreeSignals assumes the node contains child nodes and continues traversing those.
GladeProjectSignals is comparatively simple. It uses Python's xml.dom.minidom package to load a Glade project file as a DOM tree. Then it searches the tree for top-level widget nodes (a Glade design file contains other top-level nodes such as the GTK-Interface and project nodes). For every widget node found, GladeProjectSignals creates a new WidgetTreeSignals instance, which in turn lists the signal handlers defined by that widget and its descendants. Each WidgetTreeSignal instance is stored in a dictionary, self.widgets, keyed by top-level widget name.
ControllerGenerator.py (see Listing 4 at ftp://ftp.linuxjournal.com/pub/lj/listings/issue87/), when invoked with a Glade project filename and the name of a top-level widget defined in that file, prints out a stubbed Controller for that widget and its children.
Most of the module's work is done by class ControllerGenerator. This class defines a generate method that takes a Glade project filename and top-level widget name as arguments. The generate method uses an instance of GladeProjectSignals to find the handlers for the named widget. Then it creates a list of stubs for those handlers. Using a template string and Python's string formatting operators, generate produces a string containing the body of the stubbed Controller module and returns that to its caller.
Glade, libglade and gnome-python can greatly reduce the effort of building Gtk+ and GNOME applications in Python. The tools presented in this article reduce maintenance costs even further by automating the conversion of Glade widget hierarchies to Python object hierarchies, automatically connecting signal handlers defined in Controllers and generating stubbed Controllers.

Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
Learn more about catching the bad guy in this free white paper.
Sponsored by DLT Solutions
| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
| Non-Linux FOSS: Seashore | May 10, 2013 |
- Dynamic DNS—an Object Lesson in Problem Solving
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Using Salt Stack and Vagrant for Drupal Development
- New Products
- A Topic for Discussion - Open Source Feature-Richness?
- Drupal Is a Framework: Why Everyone Needs to Understand This
- RSS Feeds
- Validate an E-Mail Address with PHP, the Right Way
- Readers' Choice Awards
- Tech Tip: Really Simple HTTP Server with Python
Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?




38 min 15 sec ago
1 hour 10 min ago
3 hours 34 min ago
3 hours 37 min ago
3 hours 38 min ago
8 hours 3 min ago
9 hours 54 min ago
15 hours 7 min ago
18 hours 19 min ago
20 hours 34 min ago