The workflow appears to be comprehensively structured to handle pull request checks and runs on specific events (opened and synchronize).
Code Readability
Naming Conventions:
The workflow name (check-pr) is descriptive, giving a clear purpose of the file.
Job names (check-aictl) could provide more context about what aspect of the PR is being checked (e.g., aictl-review or AI-Code-Review).
Comments:
The comments are helpful and clarify the purpose of each step. Additional inline comments for some steps (such as explaining why fetch-depth is important) would be beneficial for future maintainability.
Specific Sections
Job Definitions
jobs:
check-aictl:
Consider making job names more specific to enhance understanding for other developers or users.
Steps
Get Number of Commits:
- name: Get number of commit to of pr commits for checkout
run: echo "fetch_depth=$(( commits + 1 ))" >> $GITHUB_ENV
The step name contains a typo ("commit to of"). It should be revised to something like "Get number of commits for fetch depth".
Make sure to validate that commits is properly fetched from the context.
It's excellent to see output being logged, but be cautious of printing potentially sensitive outputs.
The use of the gh pr comment command is a good integration with GitHub CLI.
Security and Best Practices
Secrets Management:
Proper use of secrets for the OpenAI API key and GitHub token is commendable. Ensure that AICTL_OPENAI_API_KEY and GITHUB_TOKEN are correctly added in the repository settings.
Error Handling:
Consider adding error handling between critical steps to manage failures gracefully (e.g., checking if the fetch was successful or if there are any actual differences).
Conclusion
Overall, this workflow appears robust and serves its purpose well. With minor adjustments in naming, comment clarity, and safety measures around output logging, it can be optimized for better usability and maintainability. Great job implementing this automation!
Why
What
ci
: check golang build & lint & testcheck-pr
: check the content of prQA, Evidence
Code Review for
.github/workflows/check-pr.yml
Overall Structure
opened
andsynchronize
).Code Readability
Naming Conventions:
check-pr
) is descriptive, giving a clear purpose of the file.check-aictl
) could provide more context about what aspect of the PR is being checked (e.g.,aictl-review
orAI-Code-Review
).Comments:
Specific Sections
Job Definitions
Steps
Get Number of Commits:
commits
is properly fetched from the context.Git Checkout:
actions/checkout
with dynamic fetch depth.Fetch Base Branch:
Get Diff:
tr
andsed
helps format the outputs correctly. However, ensure that it is robust against files with spaces in their names.Run AICTL Review:
Comment on Pull Request:
gh pr comment
command is a good integration with GitHub CLI.Security and Best Practices
Secrets Management:
secrets
for the OpenAI API key and GitHub token is commendable. Ensure thatAICTL_OPENAI_API_KEY
andGITHUB_TOKEN
are correctly added in the repository settings.Error Handling:
Conclusion
Overall, this workflow appears robust and serves its purpose well. With minor adjustments in naming, comment clarity, and safety measures around output logging, it can be optimized for better usability and maintainability. Great job implementing this automation!