chore: librarian update image pull request: 20251218T041345Z

[parthea]

feat: update image to us-central1-docker.pkg.dev/cloud-sdk-librarian-prod/images-prod/python-librarian-generator@sha256:b8058df4c45e9a6e07f6b4d65b458d0d059241dd34c814f151c8bf6b89211209

Generation failed for

• google-cloud-vision
• grafeas

[parthea]

One or more libraries have failed to generate, please review PR description for a list of failed libraries.
For each failed library, open a ticket in that library’s repository and then you may resolve this comment and merge.

[gemini-code-assist]

Summary of Changes

Hello @parthea, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request, an automated update from the librarian, updates the underlying code generation image used for several Google Ads and AI client libraries. The core changes involve integrating more comprehensive Python version and dependency checks directly into the generated __init__.py files, alongside a refactoring of how mTLS client certificate usage is determined. This update also cleans up the repository by removing several fixup_keywords.py scripts, suggesting that the generated code is now more directly compliant with desired standards.

Highlights

• Enhanced Python Version and Dependency Checks: Client libraries now include robust checks for Python version compatibility and google.protobuf dependency versions, issuing FutureWarning for unsupported or soon-to-be-unsupported environments.
• Refactored mTLS Client Certificate Logic: A new static method _use_client_cert_effective() centralizes the determination of mTLS client certificate usage, improving code clarity and maintainability across various client services.
• Removal of Keyword Fixup Scripts: Outdated Python scripts (fixup_..._keywords.py) previously used for post-processing generated code have been removed, indicating an evolution and streamlining of the code generation pipeline.

🧠 New Feature in Public Preview: You can now enable Memory to help Gemini Code Assist learn from your team's feedback. This makes future code reviews more consistent and personalized to your project's style. Click here to enable Memory in your admin console.

Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature	Command	Description
Code Review	/gemini review	Performs a code review for the current pull request in its current state.
Pull Request Summary	/gemini summary	Provides a summary of the current pull request in its current state.
Comment	@gemini-code-assist	Responds in comments when explicitly tagged, both in pull request comments and review comments.
Help	/gemini help	Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here.

You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

Footnotes

1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩

[gemini-code-assist]

Code Review

This pull request contains automated updates from the librarian tool, which introduces several improvements across multiple packages. The changes are consistent and beneficial.

Key changes include:

• Dependency and Python Version Checks: New boilerplate code has been added to __init__.py files. This code checks for supported Python versions and key dependency versions (like google.protobuf) at runtime, providing helpful warnings to users with outdated environments.
• mTLS Refactoring: The logic for determining whether to use a client certificate for mTLS has been centralized into a _use_client_cert_effective static method in each service client. This is a good improvement as it follows the DRY (Don't Repeat Yourself) principle, removing duplicated code.
• Test Updates: The unit tests have been updated to reflect the mTLS refactoring. New comprehensive tests for the _use_client_cert_effective method have been added, and existing tests have been adjusted accordingly.
• Cleanup: Old fixup_..._keywords.py scripts have been removed, which suggests that the code generator now produces code that no longer requires these fixups.

Overall, the changes are well-structured, improve code quality and maintainability, and add useful runtime checks for users. The automated changes appear to be correct and beneficial. I have no specific comments on the code.