Recovering lost Python source code if it’s still resident in-memory
I read this on GitHub Gist the other day. I don’t know whether I will ever use it but I am still putting this on my blog for the sake of bookmarking it. Who knows? Someone from the audience might end up using it!
I screwed up using git (git checkout –
on the wrong file) and managed to delete the code I had just written… but it was still running in a process in a docker container. Here’s how I got it back, using pyrasite and uncompyle6
Attach a shell to the docker container
Install GDB (needed by pyrasite)
apt-get update && apt-get install gdb
Install pyrasite – this will let you attach a Python shell to the still-running process
pip install pyrasite
Install uncompyle6
, which will let you get Python source code back from in-memory code objects
pip install uncompyle6
Find the PID of the process that is still running
ps aux | grep python
Attach an interactive prompt using pyrasite
pyrasite-shell <PID>
Now you’re in an interactive prompt! Import the code you need to recover
>>> from my_package import my_module
Figure out which functions and classes you need to recover
>>> dir(my_module)
['MyClass', 'my_function']
Decompile the function into source code
>>> import uncompyle6
>>> import sys
>>> uncompyle6.main.uncompyle(
2.7, my_module.my_function.func_code, sys.stdout
)
# uncompyle6 version 2.9.10
# Python bytecode 2.7
# Decompiled from: Python 2.7.12 (default, Nov 19 2016, 06:48:10)
# [GCC 5.4.0 20160609]
# Embedded file name: /srv/my_package/my_module.py
function_body = "appears here"
For the class, you’ll need to decompile each method in turn
>>> uncompyle6.main.uncompyle(
2.7, my_module.MyClass.my_method.im_func.func_code, sys.stdout
)
# uncompyle6 version 2.9.10
# Python bytecode 2.7
# Decompiled from: Python 2.7.12 (default, Nov 19 2016, 06:48:10)
# [GCC 5.4.0 20160609]
# Embedded file name: /srv/my_package/my_module.py
class_method_body = "appears here"
I hope you guys like this post. Stay tuned for the next one in the upcoming days.
phihag
ToGlarkFromContext
cheryll
divp
akshay pai