Debugging Python applications in production can be a daunting task. However, there are a number of tools available that can make the process easier. One such tool is PyStack Transcript.
PyStack Transcript is a Python debugger that allows you to capture a view of your application as if you had set a breakpoint. This includes the call stack, local and global. PyStack Transcript can also be used to debug applications running in a WSGI container such as Gunicorn or uWSGI.
To use PyStack Transcript, you need to install the package first. You can do this with the following command:
pip install pystack-transcript
Once you have installed PyStack Transcript, you can start debugging your application by adding the following line to Add to your WS GI configuration file :
pystack_transcript = true
This will allow PyStack Transcript to capture a transcript of your application execution on each launch.
If your app crashes, you can view the transcript using the PyStack Transcript tool. This will show you the call stack at the blocking point and the values of the local and global values. You can use this information to identify the cause of the crash.
To view the transcript, you can use the following command:
This will open a web browser window displaying the transcript.
PyStack Transcript is a powerful tool that can be used to debug Python applications in production. It is easy to use and can help you identify the cause of crashes quickly and easily.
Here are some additional tips for debugging Python in production with PyStack Transcript:
- Use breakpoints to halt code execution at specific points in your code. This allows you to inspect variable values and the call stack at this point.
- Use local and global variables to display variable values in the current scope.
- Use the call stack to show the order in which functions were called.
- Use Use filters to limit transcription to a specific feature or line of code.
- Use the search bar to search for a specific text in the transcript.
PyStack Transcript is a powerful tool that can be used to debug Python applications in production. It is easy to use and can help you determine the cause of accidents quickly and easily. If you are debugging Python applications in production, I recommend using PyStack Transcript.