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How will PyPI filtering of SBOM data work? #1
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I was imagining less intense filtering for "absolute correctness" and more:
This will help filter out when tools are generating SBOM data incorrectly and prevent silent "no linkage" scenarios. There might be more conditionsto add as we discover more! |
Those kinds of filters make sense - do you envision them being as part of the upload phase, or as a post-upload verification, or a user-side search? |
@miketheman I was imagining having them as a part of the upload phase if that's possible. I don't know how "post-upload" verification surfaces to the user, is that documented somewhere? |
Largely because it doesn't exist yet! 😆 But since we kick off tasks in response to a completed upload, we could perform analyses post-upload and persist results, and then surface them to the package managers or the world. The upload step is a bit "heavy" now, so I'd suggest that this step include some refactoring to make it flow a little better. And if any of these checks could be performed prior to upload (a la |
Got it. twine check is a great idea, I'll look at that too. |
Today this is basically accomplished with trove classifiers, which are self-advertised. For example, projects that say they are typed: https://pypi.org/search/?q=&o=&c=Typing+%3A%3A+Typed
This can lead to a disconnect from when the functionality is added to when the classifier is added - a la glyph/automat#161
Do you envision a different mechanism that is more verifiable, i.e. from the metadata itself?
If so, there's existing challenges with metadata storage that likely need to be addressed first (and we should fix that!) but it's not super simple.
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