Debugging Tips in the Django Framework (Part 2)

In the first part of the article, we introduced some basic techniques when debugging in the Django framework. These techniques are useful for quickly locating and resolving problems, but in some cases more advanced debugging skills are required to solve more complex problems. In this article, we will continue to explore some advanced debugging techniques to help you better solve problems in Django applications.

1. Debugging with pdb

pdb is the standard debugger for Python and can also be used with the Django framework. pdb allows you to stop a program during its execution and view the values ​​of variables and the current stack trace. To use pdb, just insert the following code at the code where you need a breakpoint:

import pdb; pdb.set_trace()

When the program executes to this breakpoint, it will stop and enter the interactive debugging mode of pdb. In this mode, you can use commands to view variables, execute code, and skip specific lines of code.

2. Using Django's debug toolbar

Django's debug toolbar is a very useful tool that can display information about requests, responses, and SQL queries in the browser. information. To enable the debug toolbar, add the following code to the settings.py file:

INSTALLED_APPS = [
    # ...
    'debug_toolbar',
]

MIDDLEWARE = [
    # ...
    'debug_toolbar.middleware.DebugToolbarMiddleware',
]

In addition, in the development environment, you also need to add the following code to the urls.py file:

if settings.DEBUG:
    import debug_toolbar
    urlpatterns = [
        # ...
        path('__debug__/', include(debug_toolbar.urls)),
    ] + urlpatterns

Enable debug After the toolbar is installed, it will automatically appear at the top of the page when your app is opened in a browser. You can use it to view information such as the status of requests and responses, the number and execution time of SQL queries.

3. Using Django’s logging module

Django’s logging module is a flexible logging tool that can be used to add logging to your code. Using logging, you can increase or decrease the verbosity of your logging without modifying your code. To use logging, just add the following code:

import logging

logger = logging.getLogger(__name__)
logger.info('This is some information')

This will log a message in the application's log. You can use different levels of logging, such as info, debug, warning, and error. You can also use the logger object to add additional information, format logging, and more.

4. Using Django’s test tool

Django’s test tool is a powerful testing framework that can be used to write and execute unit tests, integration tests, functional tests, etc. . It provides a simple syntax to write tests and provides some useful tools to run tests, generate test coverage reports, etc. To use Django's test tool, simply write your test code and run the following command on the command line:

python manage.py test

This will run all test cases and display the test results and test coverage report. You also have options to filter test cases, run only certain tests, etc.

Conclusion

Django provides a variety of debugging tools and techniques to help developers quickly locate and solve problems in the program. In this article, we introduce some advanced debugging skills, including using pdb debugging, using Django's debug toolbar, using logging, and using Django's test tool. These tips can enable you to solve complex problems more efficiently and make your applications more stable and reliable.

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