Finds and runs debugpy for VS Code "remote attach" command line debugging
Project description
DEBUGPY-RUN
This utility facilitates debugging a Python command line program using Python extension in Visual Studio Code.
The Python
debugger in VS
Code is superb. However debugging a
command line program which takes arguments is a little awkward to
invoke. The official
instructions
require you to edit the command line arguments in your launch.json
configuration which is cumbersome to do when you want to change
arguments for each run, particularly because the arguments have to be
quoted within a JSON data
structure.
This question on
stackoverflow
describes the problem, but there is no adequate solution. This utility
provides a solution, follow the procedure to use
it below.
If you have the VS Code Python
extension
installed then the full
debugpy
debugger is already
bundled with it. You open a terminal window and run this utility to
invoke your program with arguments. The utility finds the path where
debugpy
is installed and then
runs it for the program and arguments you specify, in listen mode.
Connect to it from within VS Code
using the Python Remote Attach debug configuration (using the default
host and port settings). You can control+c
and then re-run the command
with changed arguments using your shell history and command line editing
facilities, for each debug run. You can also run debugpy-run
remotely,
with debugpy
explicitly installed for this case, to debug from VS
Code to a remote machine over a
network.
This utility was developed on Arch Linux but should work on all Linux systems where VS Code is installed with the Python extension. The latest version and documentation is available at https://github.com/bulletmark/debugpy-run.
Installation
Arch users can install debugpy-run from the AUR.
Python 3.6 or later is required. Also, the Python
packaging module is required.
Note debugpy-run is on PyPI so
just ensure that pipx
is installed
then type the following:
$ pipx install debugpy-run
To upgrade:
$ pipx upgrade debugpy-run
To remove:
$ pipx uninstall debugpy-run
Procedure to Use
-
Open VS Code for the directory where your command line program is located.
-
Ensure you have added a Debugging Configuration in your
launch.json
. Specify Remote Attach and just accept the default arguments (i.e. host =localhost
, port =5678
). You only have to do this once for each project. -
Open a terminal (either within VS Code, or external) and type:
$ debugpy-run my-program -- --myargs
Now
debugpy-run
will start thedebugpy
debugger for your program, output a message, and then wait to be connected by VS Code.:warning: As seen in the above example, you should specify
--
after your program/module name so that debugpy-run knows where it's own options end, and the target options start.:warning: You must run
my-program
from same work directory as VS Code is using otherwise VS Code will not correlate your source file path with the code being run by debugpy. I.e. if the program is located atsrc/my-program
with respect to the work directory then you must run it asdebugpy-run src/my-program -- --myargs
-
In VS Code, start debugging, e.g. set a breakpoint then start the Remote Attach debug session.
-
At any point you can
control+c
the terminal command and restart it with new command line arguments (e.g. using the convenience of your shell history and editing commands) and then restart the debug session in VS Code.
Remote Debugging On Another Host
The debugpy-run
utility first looks to find the debugpy
package in
your local ~/.vscode/extensions
directory. If it fails to find that
then debugpy-run
next tries to import debugpy
globally. This is is
done so you can install both debugpy-run
and debugpy
on a remote
headless server (e.g. where VS Code is
not installed) and then debug a program on that server from VS
Code on your laptop/PC remotely over
the network.
So for example, I may have a program which runs on a server which want to debug from VS Code on my laptop. I first make sure I install the necessary software on the server (you can also do this in the programs virtual environment of course):
$ pipx install debugpy
$ pipx install debugpy-run
The start my program on the server using the debugger:
$ debugpy-run -p :5678 my-program -- --myargs
NOTE: We need to explicitly specify the :port
for this case so that
the port is opened on the external network interface so we can connect
to it from another machine. By default, debugpy-run
/debugpy
otherwise only accept local connections.
Then I go back to my laptop, ensure I have set up Remote Attach
debugging configured with host = my-server
and port = 5678
, then start
debugging.
Of course, you could start debugpy
directly yourself on the server but
the debugpy-run
wrapper is more convenient to use and makes the usage
consistent with the familiar way you start debugpy-run
on your
laptop/PC.
Debugging A Program Running As Root
Another application of debugpy-run
is that you can, as your normal
user, easily use VS Code to debug a
program you run as root. E.g. run a program using sudo
:
$ sudo debugpy-run my-program -- --myargs
Now you can just Remote Attach to it in VS Code as your normal user.
Usage
Type debugpy-run -h
to view the usage summary:
usage: debugpy-run [-h] [--listen | -C] [-W] [-p PORT] [-E] [-A] [-r]
[--log-to PATH | --log-to-stderr]
[-m MODULE | -c CODE | --pid PID] [-V]
[program] ...
Finds the "debugpy" package within your VSCode Python extension and then runs
it for "remote attach" debugging of the program/module you specify. If not
found in extensions, or bundled with this app, then tries to run the
global/venv installed "debugpy".
positional arguments:
program python program to execute and debug
args remaining arguments to debug
options:
-h, --help show this help message and exit
--listen listen on given port, default=True
-C, --connect connect to given port rather than listen
-W, --no-wait do not wait on listen for client, start immediately
-p PORT, --port PORT [host:]port to use, default=5678
-E, --no-extension don't use the debugpy bundled in the extension
-A, --no-app don't use the debugpy bundled in this app
-r, --run-on-error re-run program/module even on error
--log-to PATH log to given path
--log-to-stderr log to stderr
-m MODULE, --module MODULE
python module to execute and debug
-c CODE, --code CODE python code to execute and debug
--pid PID python pid to attach and debug
-V, --version output debugpy path and version
License
Copyright (C) 2021 Mark Blakeney. This program is distributed under the terms of the GNU General Public License. This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License at http://www.gnu.org/licenses/ for more details.
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