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Pull requirements/host from pyproject.toml #1126

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In addition to pulling the Conda recipe's requirements/run from pyproject.toml, pull requirements/host from pyproject.toml. This should help solidify around pyproject.toml being the single source of truth.

@github-actions github-actions bot added the conda conda issue label Feb 23, 2023
@jakirkham jakirkham added improvement Improvement / enhancement to an existing function non-breaking Non-breaking change labels Feb 27, 2023
@jakirkham jakirkham marked this pull request as ready for review February 27, 2023 21:23
@jakirkham jakirkham requested a review from a team as a code owner February 27, 2023 21:23
@jakirkham jakirkham requested a review from pentschev February 27, 2023 21:24
@jakirkham jakirkham closed this Feb 27, 2023
@jakirkham jakirkham reopened this Feb 27, 2023
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Toggling for CI

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Failures are unrelated, tracking that in #1134 .

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LGTM, thanks @jakirkham !

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@jakirkham, is this a pattern we plan on using for other RAPIDS libs?

I think dask-cuda's requirements are a bit simpler than other libs (e.g. no pin_compatible or pin_subpackage).

So I'm wondering if this would work for more complex cases

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Yeah this is something I'm looking into. Please see PR ( rapidsai/rmm#1220 ) for example

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Temporarily requesting changes to block this PR from being merged.

I think we need to talk more about dependency management based on @vyasr's comment below.

Seems like we have conflicting efforts in motion so we should probably sync on the best way to handle this so that we're consistent across all repositories.

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jakirkham commented Feb 28, 2023

Generally agree we should discuss how we handle requirements in RAPIDS more generally

However with Dask-CUDA would push back on this slightly since there is a longer history here of wanting requirements in one place that is pulled into other sources ( #569 ) ( #893 ). Additionally Dask-CUDA being a pure Python package has generally been more aligned with requirements in Conda & PyPI packages. So in the Dask-CUDA case this is more a continuation of how things have been as opposed to a new approach

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vyasr commented Mar 1, 2023

The main question from the rmm PR that IMO needs to be answered before we move forward with changes like this even in dask-cuda is how we want to handle the interaction between rapids-dependency-file-generator and meta.yaml reading from pyproject.toml. Those are two different approaches for single-sourcing dependencies, and I would prefer not adding two levels of indirection (dependencies.yaml->pyproject.toml->meta.yaml) where only one might suffice if we could directly write meta.yaml from dependencies.yaml. The open questions in the rmm PR would help us understand whether there is a strong argument in favor of the two pass approach (maybe because we simply decide that supporting meta.yaml is too much trouble for dfg).

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