chore(ci): Use Trivy cache

[Tiryoh]

• chore(ci): Save Trivy cache to avoid Trivy TOOMANYREQUESTS errors #182

Summary by CodeRabbit

• Chores
  • Updated the GitHub Actions workflow to enhance the Trivy vulnerability scanner by adding environment variables to skip database updates.
  • Minor formatting adjustments for improved readability.

[coderabbitai]

Walkthrough

The pull request introduces modifications to the GitHub Actions workflow in the action.yml file, specifically for the Trivy vulnerability scanner step. It adds two environment variables, TRIVY_SKIP_DB_UPDATE and TRIVY_SKIP_JAVA_DB_UPDATE, both set to true, which alters the scanner's behavior by skipping database updates. Additionally, minor formatting changes were made for improved readability without affecting functionality.

Changes

File	Change Summary
.github/actions/test/action.yml	Added environment variables TRIVY_SKIP_DB_UPDATE and TRIVY_SKIP_JAVA_DB_UPDATE to skip database updates; minor formatting adjustments for readability.

Possibly related PRs

• chore(ci): Save Trivy cache to avoid Trivy TOOMANYREQUESTS errors #182: The changes in this PR involve the Trivy vulnerability scanner, specifically related to caching and updating its database, which is directly relevant to the modifications made in the main PR regarding the Trivy action's execution context.

Poem

In the garden where we play,
Trivy hops without delay.
Skipping updates, oh what fun,
Scanning safely, one by one!
With variables set just right,
We’ll keep our code secure and bright! 🐇✨

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[coderabbitai]

Actionable comments posted: 0

🧹 Outside diff range and nitpick comments (1)

.github/actions/test/action.yml (1)

84-86: LGTM! Consider periodic full updates for the vulnerability database.

The addition of TRIVY_SKIP_DB_UPDATE and TRIVY_SKIP_JAVA_DB_UPDATE environment variables aligns well with the PR objective of using Trivy cache. This change will likely improve the workflow's execution time by skipping database updates during each run.

While this optimization is beneficial for faster CI runs, it's important to consider the trade-off between speed and having the most up-to-date vulnerability information. To maintain a balance, consider implementing a strategy for periodic full updates of the vulnerability database. This could be achieved by:

1. Running a full update on a scheduled basis (e.g., daily or weekly).
2. Implementing a conditional check to perform a full update after a certain number of cached runs.

This approach would ensure that your scans benefit from the speed of cached databases while still periodically incorporating the latest vulnerability data.

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Files that changed from the base of the PR and between 3da5185 and c948552.

📒 Files selected for processing (1)

• .github/actions/test/action.yml (1 hunks)

🧰 Additional context used