[CI] Add ci monitor balance workflow#11962
Conversation
Summary of ChangesHello @BBuf, 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 significantly enhances the CI monitoring capabilities by introducing a "Test Balance Analyzer." This new tool is designed to identify and address inefficiencies in the CI pipeline by analyzing the time differences between actual test execution and their estimated durations, specifically for GPU-related tests. By providing detailed reports and actionable recommendations, it aims to prevent CI timeouts and optimize resource allocation. Alongside this, the existing CI failure analyzer has been streamlined for better focus and readability. Highlights
Ignored Files
Using Gemini Code AssistThe 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
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 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
|
There was a problem hiding this comment.
Code Review
This pull request introduces a new CI analysis tool, ci_analyzer_balance.py, to monitor test time balance, which is a valuable addition for maintaining CI efficiency. The new script is well-structured, but there are several opportunities for improvement, such as removing dead code and unused variables, and adhering to Python best practices like placing imports at the top of the file.
Additionally, ci_analyzer.py has been refactored. The move to a whitelist for job filtering is a good improvement for clarity. However, the removal of all docstrings from the file significantly reduces its maintainability. I've added comments with suggestions to address these points.
…ect/sglang into add_ci_monitor_balance_workflow
…ect/sglang into add_ci_monitor_balance_workflow
Motivation
Modifications
Accuracy Tests
Benchmarking and Profiling
Checklist