Episode description
Episode description
Topics covered in this episode:- LLM Catcher
- On PyPI Quarantine process
- RESPX
- Unpacking kwargs with custom objects
- Extras
- Joke
About the show
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Michael #1: LLM Catcher
- via Pat Decker
- Large language model diagnostics for python applications and FastAPI applications .
- Features
- Exception diagnosis using LLMs (Ollama or OpenAI)
- Support for local LLMs through Ollama
- OpenAI integration for cloud-based models
- Multiple error handling approaches:
- Function decorators for automatic diagnosis
- Try/except blocks for manual control
- Global exception handler for unhandled errors from imported modules
- Both synchronous and asynchronous APIs
- Flexible configuration through environment variables or config file
Brian #2: On PyPI Quarantine process
- Mike Fiedler
- Project Lifecycle Status - Quarantine in his "Safety & Security Engineer: First Year in Review post”
- Some more info now in Project Quarantine
- Reports of malware in a project kick things off
- Admins can now place a project in quarantine, allowing it to be unavailable for install, but still around for analysis.
- New process allows for packages to go back to normal if the report is false.
- However
- Since August, the Quarantine feature has been in use, with PyPI Admins marking ~140 reported projects as Quarantined.
- Of these, only a single project has exited Quarantine, others have been removed.
Michael #3: RESPX
- Mock HTTPX with awesome request patterns and response side effects
- A simple, yet powerful, utility for mocking out the HTTPX, and HTTP Core, libraries.
- Start by patching HTTPX, using respx.mock, then add request routes to mock responses.
- For a neater pytest experience, RESPX includes a respx_mock fixture
Brian #4: Unpacking kwargs with custom objects
- Rodrigo
- A class needs to have
- a keys() method that returns an iterable.
- a __getitem__() method for lookup
- Then double splat ** works on objects of that type.
Extras
Brian:
- A surprising thing about PyPI's BigQuery data - Hugovk
- Top PyPI Packages (and therefore also Top pytest Plugins) uses a BigQuery dataset
- Has grabbed 30-day data of 4,000, then 5,000, then 8,000 packages.
- Turns out 531,022 packages (amount returned when limit set to a million) is the same cost.
- So…. hoping future updates to these “Top …” pages will have way more data.
- Also, was planning on recording a Test & Code episode on pytest-cov today, but haven’t yet. Hopefully at least a couple of new episodes this week.
- Finally updated pythontest.com with BlueSky links on home page and contact page.
Michael:
- Follow up from Owen (uv-secure):
- Thanks for the multiple shout outs! uv-secure just uses the PyPi json API at present to query package vulnerabilities (same as default source for pip audit). I do smash it asynchronously for all dependencies at once... but it still takes a few seconds.
Joke: Bugs hide from the light!