fix: trivy-action version and gourmand violations

[fatherlinux]

Summary

• Bump trivy-action from 0.34.1 (non-existent tag) to 0.35.0 — fixes container build workflow
• Remove verbose comments flagged by gourmand in database.py, tools/status.py, and tests/test_tools.py
• Add lint_suppression exception for legitimate noqa: S608 in query_errors()

Test plan

• CI passes (gourmand, ruff, mypy, pytest, container build)
• Container push to Quay.io succeeds on merge

🤖 Generated with Claude Code

[gemini-code-assist]

Summary of Changes

Hello, 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 primarily focuses on enhancing the continuous integration process and improving code quality by addressing linting violations. It updates a critical CI action to ensure container builds function correctly and refines the codebase by removing unnecessary comments that were flagged by a static analysis tool. Additionally, it formalizes an existing lint suppression with a clear justification, ensuring that intentional code patterns do not trigger false positives in future linting runs.

Highlights

• CI Workflow Fix: The trivy-action version has been updated from a non-existent tag (0.34.1) to 0.35.0, resolving issues in the container build workflow.
• Gourmand Linting Compliance: Verbose comments flagged by the gourmand linter have been removed from database.py, tools/status.py, and tests/test_tools.py to improve code cleanliness.
• Lint Suppression Exception: An exception has been added for lint_suppression to gourmand-exceptions.toml for a legitimate noqa: S608 directive in the query_errors() function within database.py, where f-string SQL is safely constructed.

Ignored Files

• Ignored by pattern: .github/workflows/** (1)
  • .github/workflows/container.yml

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[gemini-code-assist]

Code Review

This pull request effectively resolves the gourmand linter violations by removing unnecessary comments and correctly suppressing a false positive for a SQL-related check. The changes are straightforward and improve code clarity. I've added one comment regarding a potential performance and correctness issue in the trove_quality tool, which became apparent during this review. Addressing it would significantly improve the tool's robustness.

[gemini-code-assist]

While this PR removes a verbose comment, the underlying implementation for computing aggregate counts has a significant performance issue and a potential bug. Fetching up to 10,000 error records just to count them in Python is inefficient and will report incorrect statistics if the actual number of errors exceeds this limit.

A more scalable and performant approach is to compute these aggregates directly in the database. I recommend adding new functions to database.py to handle this, using SQL's COUNT(*) and GROUP BY. This avoids transferring large amounts of data and ensures the counts are always correct.

For example, you could replace the fetch-and-process logic with two more efficient queries:

1. To get total and resolved counts:

SELECT COUNT(*) AS total, SUM(resolved) AS resolved_count
FROM index_errors
WHERE path LIKE ?; -- Optional path filter

2. To get counts by error type:

SELECT error_type, COUNT(*)
FROM index_errors
WHERE path LIKE ? -- Optional path filter
GROUP BY error_type;

This would be a valuable improvement for the tool's robustness.