debuglater
pout
debuglater | pout | |
---|---|---|
8 | 1 | |
52 | 29 | |
- | - | |
3.8 | 7.8 | |
3 months ago | about 1 month ago | |
Python | Python | |
MIT License | MIT License |
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debuglater
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How do you deal with parallelising parts of an ML pipeline especially on Python?
Finally, debugging. If you're running code in sub-processes; debugging becomes a real pain because out of the box, you won't be able to start a debugger in the sub-processes. Furthermore, there's a chance that more than one fails. One solution is to dump the traceback when any sub-process fails, so you can start a debugging sesstion afterward; look at this project for an example.
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debuglater: dump Python traceback for later debugging
The implementation is quite interesting. You can see it here. The serialization step has two parts: it takes the traceback object and wraps it into a new object so it can be serialized; secondly, it stores the source code so you can debug even if you don't have access to the source code!
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debuglater: store Python traceback for later debugging
You can see a quick video demo here.
- GitHub - ploomber/debuglater: Store Python traceback for later debugging.
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Show HN: Debuglater β Serialize Python traceback for later debugging
Hi HN!
We just released debuglater (https://github.com/ploomber/debuglater), an open-source library that serializes a Python traceback object for later debugging.
You can see a quick video demo here: https://github.com/ploomber/debuglater/blob/master/README.md
Countless times, we've scheduled overnight jobs to find out the following day that they failed. While logs are helpful, they are often insufficient for debugging. debuglater allows you to store the traceback object so you can start a debugging session at any moment.
We built this to support our open-source framework for data scientists (https://github.com/ploomber/ploomber), who often execute long-running code in remote environments. However, we realized this could be useful for the Python community, so we created a separate package. This project is a fork of Eli Finer's pydump, so kudos to him for laying the foundations!
The implementation is quite interesting. You can see it here (https://github.com/ploomber/debuglater/blob/master/src/debug...). The serialization step has two parts: it takes the traceback object and wraps it into a new object so it can be serialized; secondly, it stores the source code so you can debug even if you don't have access to the source code!
Please take it for a spin and let us know your feedback. Please share your feedback!
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debuglater: Serialize Python traceback for later debugging
We just released debuglater, an open-source library that serializes a Python traceback object for later debugging.
- debuglater: Store Python traceback for later debugging. π
pout
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TIL Iβve been making debugging statements harder than they needed to be.
Dang, very cool! This does in one line what took me like 100+ lines when I wrote pout.
What are some alternatives?
ploomber - The fastest β‘οΈ way to build data pipelines. Develop iteratively, deploy anywhere. βοΈ
E2B - Secure cloud runtime for AI apps & AI agents. Fully open-source.
pystack - π π Like pstack but for Python!
icecream - π¦ Never use print() to debug again.
self-service-printer-installer-Python-3- - Present users with a GUI to install printers on their Mac via JAMF Self Service (with Magicβ’ :rainbow::printer:) - Now updated for Python 3 / Monterey 12.3+
mini-map-maker - A tool for automatically generating 3D printable STLs from freely available lidar scan data.