By Karen M. Tracey

Construction conscientiously confirmed and bug-free Django purposes * advance Django functions fast with fewer insects via potent use of computerized checking out and debugging tools.
* confirm your code is exact and good all through improvement and creation by utilizing Django's try out framework.
* comprehend the operating of code and its generated output with assistance from debugging tools.
* full of targeted operating examples that illustrate the concepts and instruments for debugging

In Detail
Bugs are a time eating burden in the course of software program improvement. Django's integrated attempt framework and debugging help aid decrease this burden. This ebook will train you speedy and effective options for utilizing Django and Python instruments to eliminate insects and confirm your Django program works adequately.
This ebook will stroll you step-by-step via improvement of an entire pattern Django software. you'll learn the way most sensible to check and debug versions, perspectives, URL configuration, templates, and template tags. This booklet may help you combine with and utilize the wealthy exterior setting of try out and debugging instruments for Python and Django purposes.
The publication starts off with a simple assessment of checking out. it is going to spotlight parts to appear out for whereas trying out. you'll find out about other kinds of exams on hand, and the professionals and cons of every, and in addition information of try extensions supplied through Django that simplify the duty of checking out Django functions. you'll find a demonstration of ways exterior instruments that offer much more subtle trying out good points may be built-in into Django's framework.
On the debugging entrance, the e-book illustrates find out how to interpret the vast debugging info supplied by way of Django's debug blunders pages, and the way to make use of logging and different exterior instruments to benefit what code is doing.
What you'll examine from this book * construct a whole program in potential items that may be written, demonstrated, and debugged individually.
* Come to grips with the nuances of checking out and the professionals and cons of every form of test.
* Simplify the duty of checking out internet purposes through the use of particular attempt extensions supplied by means of Django.
* combine different attempt instruments into Django's framework to procure attempt insurance info and extra simply try out forms.
* examine the copious debug info supplied by way of Django's debug mistakes pages.
* Write your personal add-on debugging aids.
* simply gather huge, immense and significant info with assistance from exterior instruments resembling the Django debug toolbar.
* Decipher code habit through the use of logging and successfully debug difficulties in construction, whilst debug blunders pages will not be available.
* study what your code and different library help code truly does by way of expert use of a debugger.
* take on difficulties exterior on your code with to be had fixes.
* Debug universal difficulties that come up through the movement from improvement to production.

Approach
This publication teaches by way of instance. It walks intimately via improvement of a pattern program, illustrating every one step through entire operating code and both screenshots or console snippets. The bulky and time eating activity of debugging might be a cake stroll with this e-book.
Who this e-book is written for
If you're a Django program developer who desires to create strong purposes speedy that paintings good and are effortless to keep up within the long-term, this e-book is for you. This e-book is the proper decide so that it will be neatly tutored to make top use of Django's wealthy checking out and debugging help and make checking out a simple activity.
Basic wisdom of Python, Django, and the final constitution of a database-driven internet software is thought. notwithstanding, the code samples are totally defined in order that even newcomers who're new to the realm can examine greatly from this e-book.

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Additional info for Django 1.1 Testing and Debugging

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Py file. py to look like this: __test__ = {"survey_save": """ Tests for the Survey save override method. date(2009, 12, 28) If closes is specified, it will be honored and not auto-set. date(2009, 12, 28) Making the mistake of specifying neither opens nor closes results in the expected IntegrityError for opens, not any exception in the save override code itself. create(title=t) Traceback (most recent call last): ... opens may not be NULL """} Here we changed the key for the test from the generic doctest to survey_save, so that the reported test name in any test output will give a hint as to what is being tested.

Py test? ] Runs the test suite for the specified applications, or the entire site if no apps are specified. g. main". If this isn't provided, the DJANGO_SETTINGS_MODULE environment variable will be used. g. "/home/djangoprojects/myproject". --traceback Print traceback on exception --noinput Tells Django to NOT prompt the user for input of any kind. --version show program's version number and exit -h, --help show this help message and exit Let's consider each of these in turn (excepting help, as we've already seen what it does): Verbosity Verbosity is a numeric value between 0 and 2.

As database dependence is a fairly big issue on its own, it will be discussed in detail in the next section. However, we'll first cover some other minor environmental dependencies we might easily run into and see how to avoid including them in our tests. [ 44 ] Chapter 2 An extremely common form of environmental dependence that creeps into doctests is relying on the printed representation of objects. For example, a __unicode__ method is a common method to be implemented in a model class first. It was omitted from the earlier Survey model discussion since it wasn't necessary at that time, but in reality we probably would have implemented __unicode__ before the save override.

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