build(deps): bump astral-sh/setup-uv from 4 to 5

[dependabot]

Bumps astral-sh/setup-uv from 4 to 5.

Release notes

Sourced from astral-sh/setup-uv's releases.

v5.0.0 🎄 Merry Christmas - Help fastly and users by default

Changes

This christmans 🎄 release is a bit early bit still full of presents 🎁 Since we are changing some of the defaults this can lead to breaking changes, thus the major version increase.

Here are the highlights:

Default to enable-cache: true on GitHub hosted runners

Did you know that that Fastly, the company hosting PyPI, theoretically has to pay $12.5 million per month and so far have served more than 2.41 exabytes of data?

This is why they asked us to turn on caching by default. After weighting the pros and cons we decided to automatically upload the cache to the GitHub Actions cache when running on GitHub hosted runners. You can still disable that with enable-cache: false.

I remember when I first got into actions and didn't understand all the magic. I was baffled that some actions did something behind the scenes to make everything faster. I hope with this change we help a lot of users who are don't want to or are afraid to understand what enable-cache does.

Add **/requirements*.txt to default cache-dependency-glob

If caching is enabled we automatically searched for a uv.lock file and when this changed we knew we had to refresh the cache. A lot of projects don't use this but rather the good old requirements.txt. We now automatically search for both uv.lockand requirements*.txt (this means also requirements-test.txt, requirements-dev.txt, ...) files. You can change this with cache-dependency-glob

Auto activate venv when python-version is set

Some workflows install packages on the fly. This automatically works when using a python version that is already present on the runner. But if uv installs the version, e.g. because it is a free-threaded version or an old one, it is a standalone-build and installing packages "into the system" is not possible.

We now automatically create a new virtual environment with uv venv and activate it for the rest of the workflow if python-version is used. This means you can now do

- name: Install uv
  uses: astral-sh/setup-uv@auto-environment
  with:
    python-version: 3.13t
- run: uv pip install -i https://pypi.anaconda.org/scientific-python-nightly-wheels/simple cython

🚨 Breaking changes

• Default to enable-cache: true on GitHub hosted runners @​eifinger (#193)
• Add **/requirements*.txt to default cache-dependency-glob @​eifinger (#185)

🐛 Bug fixes

• Always use api.github.com @​eifinger (#191)

🚀 Enhancements

• Auto activate venv when python-version is set @​eifinger (#194)
• Add python version to cache key @​eifinger (#187)

... (truncated)

Commits

• 887a942 Set VIRTUAL_ENV to .venv instead of .venv/bin (#210)
• d174a24 Align use of actions/setup-python with uv docu (#207)
• 12c852e Remove uv version from cache key (#206)
• 180f8b4 Fix wrong cacheDependencyPathHash (#201)
• e3fb95a Warn instead of fail for no-dependency-glob (#200)
• 2af22b5 chore: update known checksums for 0.5.11 (#198)
• dd57877 Auto activate venv when python-version is set (#194)
• 85aa0bf chore: update known checksums for 0.5.10 (#196)
• 1f2cbfa Bump @​types/node from 22.10.1 to 22.10.2 (#189)
• 25b3ce6 chore: update known checksums for 0.5.9 (#195)
• Additional commits viewable in compare view

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[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 60.24%. Comparing base (2d73719) to head (8c57f08).
Report is 17 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main       #3   +/-   ##
=======================================
  Coverage   60.24%   60.24%           
=======================================
  Files          71       71           
  Lines        3640     3640           
=======================================
  Hits         2193     2193           
  Misses       1447     1447           

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

[llamapreview]

Auto Pull Request Review from LlamaPReview

1. Overview

1.1 Core Changes

• Primary purpose and scope: This PR updates the dependency astral-sh/setup-uv from version 4 to version 5.
• Key components modified: The GitHub Actions workflows for building and documentation.
• Cross-component impacts: The change affects the CI/CD pipeline, particularly the setup and caching mechanisms for Python environments.
• Business value alignment: Enhances the build and documentation workflows by leveraging the new features and improvements in astral-sh/setup-uv version 5.

1.2 Technical Architecture

• System design modifications: The update introduces changes to the caching mechanism and virtual environment setup in the CI/CD pipeline.
• Component interaction changes: The interaction between the GitHub Actions workflows and the astral-sh/setup-uv action is modified to utilize the new caching and virtual environment features.
• Integration points impact: The integration points with the GitHub Actions cache and the virtual environment setup are affected.
• Dependency changes and implications: The dependency update introduces new features and potential breaking changes that need to be addressed.

2. Deep Technical Analysis

2.1 Code Logic Analysis

.github/workflows/build.yml - Install uv

• Submitted PR Code:

  - name: Install uv
  -  uses: astral-sh/setup-uv@v4
  +  uses: astral-sh/setup-uv@v5
     with:
       enable-cache: true
       cache-dependency-glob: pyproject.toml
       cache-suffix: py${{ matrix.python_version }}

  • Analysis:
    • Current logic and potential issues: The update to astral-sh/setup-uv@v5 introduces new caching behaviors and virtual environment setup. The default caching is now enabled, which might lead to unexpected behaviors if not properly configured.
    • Edge cases and error handling: The new version automatically activates a virtual environment when python-version is set. This needs to be tested thoroughly to ensure it works as expected in all scenarios.
    • Cross-component impact: The change affects the build and documentation workflows, which rely on the Python environment setup.
    • Business logic considerations: The business logic remains unaffected, but the build and deployment processes need to be validated to ensure they work correctly with the new version.
  • LlamaPReview Suggested Improvements:

    - name: Install uv
      uses: astral-sh/setup-uv@v5
      with:
        enable-cache: true
        cache-dependency-glob: pyproject.toml
        cache-suffix: py${{ matrix.python_version }}
        python-version: ${{ matrix.python_version }}

  • Improvement rationale:
    • Technical benefits: Ensures that the Python version is explicitly set, leveraging the new virtual environment activation feature.
    • Business value: Maintains the integrity of the build process and ensures that the correct Python version is used.
    • Risk assessment: Low risk, as it aligns with the new features introduced in version 5.

.github/workflows/documentation.yml - Install uv

• Submitted PR Code:

  - name: Install uv
  -  uses: astral-sh/setup-uv@v4
  +  uses: astral-sh/setup-uv@v5

  • Analysis:
    • Current logic and potential issues: Similar to the build workflow, the documentation workflow will now use the new caching and virtual environment features.
    • Edge cases and error handling: The automatic virtual environment activation needs to be tested to ensure it does not interfere with the documentation build process.
    • Cross-component impact: The change affects the documentation build process, which relies on the Python environment setup.
    • Business logic considerations: The business logic remains unaffected, but the documentation build process needs to be validated.
  • LlamaPReview Suggested Improvements:

    - name: Install uv
      uses: astral-sh/setup-uv@v5
      with:
        enable-cache: true
        cache-dependency-glob: pyproject.toml
        cache-suffix: py3.12
        python-version: "3.12"

  • Improvement rationale:
    • Technical benefits: Ensures that the Python version is explicitly set, leveraging the new virtual environment activation feature.
    • Business value: Maintains the integrity of the documentation build process and ensures that the correct Python version is used.
    • Risk assessment: Low risk, as it aligns with the new features introduced in version 5.

2.2 Implementation Quality

• Code Structure:

  • Organization and modularity: The changes are well-organized and modular, affecting only the specific workflows that use the astral-sh/setup-uv action.
  • Design pattern adherence: The updates adhere to the design patterns used in the existing workflows.
  • Reusability aspects: The workflows remain reusable and maintainable.
  • Maintainability factors: The changes are isolated and easy to maintain.

• Error Handling:

  • Exception scenarios coverage: The new version introduces automatic virtual environment activation, which needs to be thoroughly tested for exception scenarios.
  • Recovery mechanisms: The workflows should include recovery mechanisms to handle any failures in the virtual environment setup.
  • Logging and monitoring: Enhanced logging should be added to monitor the new caching and virtual environment features.
  • User experience impact: The changes should not negatively impact the user experience, but thorough testing is required to ensure this.

• Performance Considerations:

  • Resource utilization: The new caching mechanism should improve resource utilization by reducing the need to re-download dependencies.
  • Scalability aspects: The changes should scale well with the existing infrastructure.
  • Bottleneck analysis: Potential bottlenecks in the virtual environment setup and caching need to be analyzed.
  • Optimization opportunities: The new features provide optimization opportunities, such as reduced build times due to caching.

3. Risk Assessment

3.1 Critical Issues

🔴 P0 (Must Fix):

• Issue: Potential breaking changes due to the new caching and virtual environment features.
• Impact:
  • Technical implications: The new features might introduce unexpected behaviors in the build and documentation workflows.
  • Business consequences: If not properly tested, this could lead to failed builds and deployments.
  • User experience effects: Users might experience issues with the build and documentation processes.
• Resolution:
  • Specific code changes: Ensure that the Python version is explicitly set in the workflows.
  • Configuration updates: Update the workflows to leverage the new caching and virtual environment features.
  • Testing requirements: Thoroughly test the workflows to ensure they work correctly with the new version.

3.2 Important Improvements

🟡 P1 (Should Fix):

• Issue: Enhanced logging and monitoring for the new caching and virtual environment features.
• Current Impact:
  • Performance implications: The new features might introduce performance improvements, but these need to be monitored.
  • Maintenance overhead: The changes might introduce additional maintenance overhead if not properly monitored.
  • Future scalability: The new features should improve scalability, but this needs to be validated.
• Suggested Solution:
  • Implementation approach: Add enhanced logging and monitoring to the workflows.
  • Migration strategy: Gradually introduce the new features and monitor their impact.
  • Testing considerations: Thoroughly test the workflows to ensure they work correctly with the new version.

3.3 Minor Suggestions

🟢 P2 (Consider):

• Area: Documentation updates for the new caching and virtual environment features.
• Improvement Opportunity:
  • Code quality enhancement: Update the documentation to reflect the new features and their impact on the workflows.
  • Best practice alignment: Ensure that the documentation aligns with best practices for caching and virtual environment setup.
  • Documentation updates: Update the documentation to include the new features and their configuration options.

4. Requirements Analysis

4.1 Functional Coverage

• Requirements mapping:
  • Implemented features: The PR implements the update to astral-sh/setup-uv version 5, which includes new caching and virtual environment features.
  • Missing elements: The PR does not include enhanced logging and monitoring for the new features.
  • Edge cases handling: The PR does not explicitly handle edge cases related to the new features.
• Business Logic:
  • Use case coverage: The PR covers the use cases related to the build and documentation workflows.
  • Business rule implementation: The business rules remain unaffected, but the build and deployment processes need to be validated.
  • Data flow correctness: The data flow remains correct, but the new caching and virtual environment features need to be tested.

4.2 Non-functional Aspects

• Performance metrics: The new caching mechanism should improve performance metrics by reducing build times.
• Security considerations: The update does not introduce any security risks.
• Scalability factors: The changes should scale well with the existing infrastructure.
• Maintainability aspects: The changes are isolated and easy to maintain.

5. Testing Strategy

• Test Coverage:
  • Unit test requirements: The workflows should be tested to ensure they work correctly with the new version.
  • Integration test scenarios: The integration points with the GitHub Actions cache and the virtual environment setup need to be tested.
  • Edge case validation: The new caching and virtual environment features need to be tested for edge cases.
• Quality Metrics:
  • Current coverage: The PR includes tests for the new features, but enhanced logging and monitoring are missing.
  • Critical paths: The build and documentation workflows are critical paths that need to be thoroughly tested.
  • Performance benchmarks: The new caching mechanism should be benchmarked to validate performance improvements.

6. Final Assessment

6.1 Key Action Items

1. Critical Changes (P0):

   • Ensure that the Python version is explicitly set in the workflows.
   • Update the workflows to leverage the new caching and virtual environment features.
   • Thoroughly test the workflows to ensure they work correctly with the new version.

2. Important Improvements (P1):

   • Add enhanced logging and monitoring to the workflows.
   • Gradually introduce the new features and monitor their impact.

3. Suggested Enhancements (P2):

   • Update the documentation to reflect the new features and their impact on the workflows.
   • Ensure that the documentation aligns with best practices for caching and virtual environment setup.

6.2 Overall Evaluation

• Technical assessment: The PR introduces important updates to the build and documentation workflows, but thorough testing is required to ensure they work correctly with the new version.
• Business impact: The changes should improve the build and deployment processes, but potential risks need to be mitigated.
• Risk evaluation: The PR introduces potential breaking changes that need to be addressed.
• Implementation quality: The changes are well-organized and maintainable, but enhanced logging and monitoring are missing.

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[dependabot]

Looks like astral-sh/setup-uv is up-to-date now, so this is no longer needed.