ENH: Pre-installing setuptools in nightly-health

[aylward]

Summary by CodeRabbit

• Chores
  • Improved nightly health checks by preparing required build tools before installing CUDA and development dependencies.
  • Ensured CUDA/PyTorch-related dependencies are available during package setup.

[coderabbitai]

Caution

Review failed

The pull request is closed.

ℹ️ Recent review info

⚙️ Run configuration

Configuration used: Organization UI

Review profile: CHILL

Plan: Pro Plus

Run ID: dfee9cc2-5031-45d4-877b-0efc075634f0

📥 Commits

Reviewing files that changed from the base of the PR and between c279943 and fe4c5b7.

📒 Files selected for processing (1)

• .github/workflows/nightly-health.yml

Cache: Disabled due to data retention organization setting

Knowledge base: Disabled due to data retention organization setting

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Walkthrough

The nightly health workflow installs setuptools and wheel before non-isolated torch-scatter builds. It then installs the editable package with the cuda13 extra before the existing full-extra installation.

Changes

Nightly health workflow

Layer / File(s)	Summary
Prepare CUDA package installation .github/workflows/nightly-health.yml	The workflow installs setuptools and wheel, then installs the editable package with the cuda13 extra before installing the existing full set of extras.

Estimated code review effort: 1 (Trivial) | ~5 minutes

Suggested reviewers: copilot

✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests

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[Copilot]

Pull request overview

Updates the nightly health GitHub Actions workflow to ensure the build toolchain is present in the virtual environment before installing CUDA/PhysicsNeMo-related dependencies, aligning with the project’s pyproject.toml guidance around torch-scatter and --no-build-isolation.

Changes:

• Adds an explicit setuptools/wheel installation step prior to installing .[cuda13] and .[physicsnemo] extras.
• Documents why the install ordering matters for torch-scatter builds in uv-managed environments.

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