By Karen M. Tracey
Construction conscientiously demonstrated and bug-free Django purposes * improve Django purposes quick with fewer insects via potent use of computerized trying out and debugging tools.
* ascertain your code is exact and reliable all through improvement and creation by utilizing Django's attempt framework.
* comprehend the operating of code and its generated output with assistance from debugging tools.
* choked with unique operating examples that illustrate the recommendations and instruments for debugging
Bugs are a time eating burden in the course of software program improvement. Django's integrated attempt framework and debugging aid aid decrease this burden. This ebook will educate you quickly and effective options for utilizing Django and Python instruments to remove insects and make sure your Django software works adequately.
This e-book will stroll you step-by-step via improvement of an entire pattern Django program. you'll find out how top to check and debug versions, perspectives, URL configuration, templates, and template tags. This ebook may help you combine with and utilize the wealthy exterior surroundings of try out and debugging instruments for Python and Django functions.
The e-book starts off with a simple assessment of trying out. it's going to spotlight components to appear out for whereas checking out. you'll find out about other kinds of checks to be had, and the professionals and cons of every, and likewise info of try out extensions supplied via Django that simplify the duty of trying out Django purposes. you will see that a demonstration of ways exterior instruments that offer much more refined checking out good points could be built-in into Django's framework.
On the debugging entrance, the ebook illustrates the right way to interpret the huge debugging info supplied by way of Django's debug errors pages, and the way to make use of logging and different exterior instruments to profit what code is doing.
What you are going to research from this book * construct an entire software in potential items that may be written, verified, and debugged individually.
* Come to grips with the nuances of trying out and the professionals and cons of every kind of test.
* Simplify the duty of checking out internet functions through the use of particular try out extensions supplied by way of Django.
* combine different try instruments into Django's framework to acquire attempt assurance details and extra simply attempt forms.
* research the copious debug info supplied by means of Django's debug blunders pages.
* Write your individual add-on debugging aids.
* simply collect huge, immense and demanding info with the aid of exterior instruments corresponding to the Django debug toolbar.
* Decipher code habit by utilizing logging and successfully debug difficulties in construction, while debug mistakes pages are usually not available.
* examine what your code and different library help code really does by means of expert use of a debugger.
* take on difficulties exterior on your code with to be had fixes.
* Debug universal difficulties that come up throughout the circulate from improvement to production.
This publication teaches by way of instance. It walks intimately via improvement of a pattern program, illustrating each one step through entire operating code and both screenshots or console snippets. The bulky and time eating activity of debugging may be a cake stroll with this e-book.
Who this e-book is written for
If you're a Django software developer who desires to create powerful purposes fast that paintings good and are effortless to take care of within the long-term, this publication is for you. This ebook is the proper choose with the intention to be well tutored to make top use of Django's wealthy checking out and debugging help and make checking out an easy activity.
Basic wisdom of Python, Django, and the general constitution of a database-driven net program is believed. even though, the code samples are absolutely defined in order that even rookies who're new to the realm can research very much from this booklet.
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Additional info for Django 1.1 Testing and Debugging
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.
We have now seen how to run tests, and what the results look like for both overall success and a few failures and errors. py test command. 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.
Testing Survey model creation Now, what might we do with these models to test them in a Python shell? Really, not much beyond creating each, perhaps verifying that if we don't specify one of the fields we get an error, or the correct default value is assigned, and verifying whether we can traverse the relationships between the models. 2] on linux2 Type "help", "copyright", "credits" or "license" for more information. create(title=t, opens=d, closes=d) >>> Here we started by importing our Survey model and the Python datetime module, then created a variable t to hold a title string and a variable d to hold a date value, and used those values to create a Survey instance.