README.md

Debugging dockerized python scripts with vscode

A template for debugging long running, containerized ML applications in python with vscode.

import debugpy

debugpy.listen(("0.0.0.0", 5678))
print("Waiting for client to attach...")
debugpy.wait_for_client()

See medium post for a full explanation: Debugging for Dockerized ML applications in Python

Running

1. Set some breakpoints in main.py with either:
   • The vscode UI
   • Use the debugpy.breakpoint() function
2. Run bash ./run_container.sh to build the docker image and run the container
3. Once the container is running, select the Python: Docker Attach debugging configuration
4. Debug away 😍