remote-debug 0.3.0

A helper tool for remote debugging on HPC clusters.

🚀 remote-debug

A CLI tool to simplify visual debugging of Python scripts on remote HPC clusters directly from your local VS Code instance.

remote-debug helps you bridge the gap between your local editor and a script running on a remote compute node, making it easy to debug GPU-specific issues or complex cluster jobs with a full-featured debugger.

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Table of Contents

• Installation
• Quick Start
• Debugging Workflow
  • Method A: Connecting from your Local Machine
  • Method B: Connecting via VS Code Remote-SSH
• Command Reference

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Installation

Install from PyPI:

pip install remote-debug

Or, build from source using Pixi:

# Install pixi with: curl -fsSL https://pixi.sh/install.sh | sh
pixi install

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Quick Start

1. Initialize your project Run this command from your project root to add the necessary VS Code launch configurations in .vscode/launch.json.

   rdg init
   

[!WARNING] If launch.json exists but is malformed, it will be backed up to launch.json.bak and a new file will be created.

2. Run your script on the cluster Prefix your usual Python command with rdg debug. This will start a debug server and wait for you to connect.

   # Instead of: python my_script.py --arg value
   # Run this:
   rdg debug python my_script.py --arg value
   

3. Check your job's output The job output will contain the connection details and the SSH command needed to attach the debugger.

   --- Python Debugger Info ---
   Node: uc2n805.localdomain
   Port: 51041
   Remote Path: /path/to/your/project
   --------------------------
   
   To connect from a local VS Code instance, run this on your local machine:
   ssh -N -L 5678:uc2n805.localdomain:51041 <[e-mail]>
   Then, attach the debugger to localhost:5678.
   
   Script is paused, waiting for debugger to attach...
   

4. Connect VS Code Follow one of the two methods below depending on your setup. Once attached, you can set breakpoints and debug as if you were running the code locally.

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Debugging Workflow

[!NOTE] For the debugger to work, your VS Code editor must have access to the exact source code that is running on the remote compute node.

• If you are developing locally: Make sure you have an identical copy of the project on your local machine (e.g., by using git clone).
• If you are using VS Code Remote-SSH: You are already viewing the project files on the remote machine, so no extra steps are needed.

Method A: Connecting from your Local Machine

Use this method if you are running your IDE locally and want to connect to the remote cluster.

1. Create an SSH Tunnel Copy and paste the ssh command directly from your job's output. If remote-debug was able to detect your username and the hostname of the cluster automatically you are good to go, otherwise just replace the <[e-mail]> placeholder. Keep this terminal open.

2. Attach Debugger (example with VS Code)

   • Open the "Run and Debug" panel in VS Code (Ctrl+Shift+D).
   • Select "Python Debugger: Remote Attach (via SSH Tunnel)" from the dropdown and click the play button.
   • You will be prompted for:
     • localTunnelPort: The local port for the tunnel (default is 5678).
     • remoteWorkspaceFolder: The Remote Path from the job output.

Method B: Connecting via VS Code Remote-SSH

Use this method if you are already connected to a remote machine (like a login node) using the VS Code Remote - SSH extension.

1. Attach VS Code
   • Open the "Run and Debug" panel in VS Code (Ctrl+Shift+D).
   • Select "Python Debugger: Attach to Compute Node" from the dropdown and click the play button.
   • You will be prompted for:
     • computeNodeHost: The Node from the job output.
     • computeNodePort: The Port from the job output.

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Command Reference

Command	Description
rdg rebug python <script> [args...]	Wraps a Python script to start a debugpy listener and waits for a client to attach.
rdg init	Creates or updates .vscode/launch.json with the required debugger configurations.
rdg tunnel <node> <port> <login> [--local-port <port>]	Constructs the SSH command to establish a tunnel to the compute node.

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