⚡ Bolt: Optimize Listing Audit scoring engine nested lookups#43
Conversation
…T-01) Convert reference findings array to a Map lookup to replace O(N*M) nested scans in findingsAccuracy and severityCalibration with O(1) complexity. Co-authored-by: projectamazonph <286085559+projectamazonph@users.noreply.github.com>
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No actionable comments were generated in the recent review. 🎉 ℹ️ Recent review info⚙️ Run configurationConfiguration used: Organization UI Review profile: CHILL Plan: Pro Plus Run ID: 📒 Files selected for processing (1)
📝 WalkthroughWalkthroughChangesListing Audit Lookup
Estimated code review effort: 2 (Simple) | ~10 minutes Possibly related PRs
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
Comment |
💡 What
Optimized the
gradeListingAuditscoring function insrc/engine/listing-audit/engine.tsby transforming the reference findings array into aMaplookup.🎯 Why
In interactive scenarios, the listing audit grading engine evaluates student findings against the reference findings. Previously, the engine performed$O(N \times M)$ time complexity which can be slow as the number of findings grows.
Array.prototype.find()searches inside the loop bodies offindingsAccuracyandseverityCalibration. This created an📊 Impact
🔬 Measurement
All Vitest tests pass cleanly. Verified through
pnpm testand code review.PR created automatically by Jules for task 6075910266981458629 started by @projectamazonph
Summary by CodeRabbit