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 matplotlib


The matplotlib library provides another alternative for generating charts from Python. It can be found on the Python Package Index site, http://pypi.python.org/pypi/matplotlib. The version of matplotlib used in this chapter is 0.98.3.

With matplotlib, our application cannot simply construct a URL and push the task of generating and serving the image data off to another host. Instead, we need to write a view that will generate and serve the image data. After some investigation of the matplotlib APIs, an initial implementation (in survey/views.py) might be:

from django.http import HttpResponse 
from survey.models import Question 
from matplotlib.figure import Figure 
from matplotlib.backends.backend_agg import FigureCanvasAgg as \FigureCanvas 

@log_view 
def answer_piechart(request, pk): 
    q = get_object_or_404(Question, pk=pk) 
    answer_set = q.answer_set.all() 
    x = [a.votes for a in answer_set] 
    labels = [a.answer for a in answer_set] 

    fig...