Book Image

Django 1.1 Testing and Debugging

Book Image

Django 1.1 Testing and Debugging

Overview of this book

Bugs are a time consuming burden during software development. Django's built-in test framework and debugging support help lessen this burden. This book will teach you quick and efficient techniques for using Django and Python tools to eradicate bugs and ensure your Django application works correctly. This book will walk you step by step through development of a complete sample Django application. You will learn how best to test and debug models, views, URL configuration, templates, and template tags. This book will help you integrate with and make use of the rich external environment of test and debugging tools for Python and Django applications. The book starts with a basic overview of testing. It will highlight areas to look out for while testing. You will learn about different kinds of tests available, and the pros and cons of each, and also details of test extensions provided by Django that simplify the task of testing Django applications. You will see an illustration of how external tools that provide even more sophisticated testing features can be integrated into Django's framework. On the debugging front, the book illustrates how to interpret the extensive debugging information provided by Django's debug error pages, and how to utilize logging and other external tools to learn what code is doing.
Table of Contents (17 chapters)
Django 1.1 Testing and Debugging
Credits
About the Author
About the Reviewer
Preface
Index

Results display using pygooglechart


Once we've decided we want to create pie charts, the next question is: how do we do that? Chart creation is not built into the Python language. There are, however, several add-on libraries that provide this function. We'll start by experimenting with one of the simplest alternatives, pygooglechart, which is a Python wrapper around the Google chart API.

The pygooglechart package is available on the Python Package Index site, http://pypi.python.org/pypi/pygooglechart. Information on the underlying Google chart API can be found at http://code.google.com/apis/chart/. The version of pygooglechart used in this chapter is 0.2.0.

One reason using pygooglechart is very simple, for a web application, is that the result of constructing a chart is simply a URL that can be used to fetch the chart image. There is no need to generate or serve an image file from our application. Rather, all of the work can be pushed off to the Google chart API, and our application simply...