⚠️ Performance: pandas==1.5.3 building from source causes extended build times in TrustyAI notebook

[coderabbitai]

Problem Description

The TrustyAI notebook build (jupyter-trustyai-ubi9-python-3.12) is experiencing significantly extended build times due to pandas==1.5.3 being built from source instead of using pre-built wheels.

Build Failure Details

• Build: jupyter-trustyai-ubi9-python-3.12
• Total build time: 19m 28s
• Failure point: Building pandas==1.5.3
• Platform: linux/amd64, Python 3.12

Context

This issue was discovered during PR #2145 implementation, which introduces uv pyproject.toml files across multiple notebooks. The TrustyAI notebook's pyproject.toml specifies pandas~=1.5.3 as a dependency.

Investigation Areas

1. Wheel Availability: Check if pandas 1.5.3 wheels are available for Python 3.12 on linux/amd64
2. Dependency Conflicts: Investigate if dependency conflicts are forcing source builds
3. Index Configuration: Review uv index configuration in pyproject.toml for pandas resolution
4. Version Compatibility: Assess if pandas 1.5.3 is appropriate for Python 3.12 environment

Potential Solutions

• Update pandas version to one with better wheel availability
• Add explicit index configuration for pandas wheels
• Investigate dependency pinning conflicts
• Consider platform-specific dependency specifications

Acceptance Criteria

• Identify root cause of pandas source build requirement
• Implement solution to use pre-built pandas wheels
• Verify TrustyAI notebook build completes in reasonable time (<5m)
• Document any version or configuration changes required

Context Links

• PR: RHAIENG-304: add uv pyproject.tomls for multiple notebooks and runtimes across Jupyter, RStudio, and VSCode #2145
• Build Log: https://github.com/opendatahub-io/notebooks/actions/runs/17268128656/job/49008591181?pr=2145#step:25:332
• Comment: RHAIENG-304: add uv pyproject.tomls for multiple notebooks and runtimes across Jupyter, RStudio, and VSCode #2145

Impact

Extended build times affect CI/CD pipeline performance and developer productivity. Source builds also indicate potential dependency resolution issues that could affect runtime stability.