Migrate Python job in master.yml workflow to uv#18934
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harupy merged 2 commits intomlflow:masterfrom Nov 21, 2025
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This change migrates the Python job from manual venv management and pip to uv for faster and more consistent dependency resolution. Changes: - Replace manual venv creation with uv sync - Use uv pip for all package installations - Use uv run for all Python/pytest commands - Remove redundant installations (tf-keras, mlflow-test-plugin) - Simplify extras syntax to --extra 'extras,gateway,mcp' - Use --with flag for databricks-agents in isolated test step Benefits: - Faster dependency resolution - Consistent with other uv-based jobs (flavors, models, evaluate, etc.) - Cleaner and more maintainable installation steps 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
harupy
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Nov 20, 2025
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| # Ensure `databricks-connect` and `databricks-agents` are not installed | ||
| pip uninstall -y databricks-connect databricks-agents | ||
| pip install --no-deps --force-reinstall pyspark |
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This was added because the cache might contain databricks-connect and databricks-agents. We no longer use cache.
kevin-wangg
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Nov 21, 2025
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com> Co-authored-by: Claude <noreply@anthropic.com> Signed-off-by: Kevin Wang <kevinwang2040@gmail.com>
jimilp7
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Nov 21, 2025
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com> Co-authored-by: Claude <noreply@anthropic.com>
Tian-Sky-Lan
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Nov 24, 2025
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com> Co-authored-by: Claude <noreply@anthropic.com> Signed-off-by: Tian Lan <sky.blue266000@gmail.com>
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What changes are proposed in this pull request?
Migrate the Python job in
.github/workflows/master.ymlto useuvinstead of manual venv management and pip, bringing it in line with other jobs in the workflow.Before (no cache)
After (no cache)
How is this PR tested?
Does this PR require documentation update?
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Is this a user-facing change?
What component(s), interfaces, languages, and integrations does this PR affect?
Components
area/build: Build and test infrastructure for MLflowHow should the PR be classified in the release notes? Choose one:
rn/none- No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" sectionShould this PR be included in the next patch release?
🤖 Generated with Claude Code