feat: [performance improvement] optimize navigation condition lookups#279
feat: [performance improvement] optimize navigation condition lookups#279anyulled wants to merge 1 commit into
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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 Run ID: 📒 Files selected for processing (2)
📝 WalkthroughWalkthrough
ChangesNavigation Lookup Optimization
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~3 minutes Suggested labels
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Code Review
This pull request documents a performance best practice in .jules/bolt.md regarding avoiding Object.entries().find() for object property lookups, and applies this optimization in lib/shared/navigation.ts by replacing linear searches with direct property access. The review feedback correctly points out a redundant type assertion as keyof typeof conditions in lib/shared/navigation.ts that can be removed to simplify the code.
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| .filter((link) => { | ||
| if (!link.condition) return true; | ||
| const conditionValue = Object.entries(conditions).find(([key]) => key === link.condition)?.[1]; | ||
| const conditionValue = conditions[link.condition as keyof typeof conditions]; |
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The type assertion as keyof typeof conditions is redundant. Since link.condition is typed as NavCondition (and narrowed by the preceding guard) and conditions is typed as Record<NavCondition, boolean>, TypeScript already recognizes link.condition as a valid key. Removing the assertion simplifies the code.
| const conditionValue = conditions[link.condition as keyof typeof conditions]; | |
| const conditionValue = conditions[link.condition]; |
💡 What: Replaced
Object.entries(obj).find(...)with directobj[key]property access inlib/shared/navigation.ts.🎯 Why: Using
Object.entries().find()dynamically looks up a value by iterating through all entries of an object. This unnecessarily allocates an array of entry tuples and performs an O(N) linear search. Direct property access achieves the same result in O(1) time without allocating intermediate structures.📊 Impact: Eliminates O(N) linear searches and amortized O(N) array allocations during navigation generation.
🔬 Measurement: Verified that unit tests pass identically. Performance gains can be theoretically measured by profiling CPU and GC during multiple concurrent page requests that invoke navigation logic.
PR created automatically by Jules for task 17116299224077292302 started by @anyulled
Summary by CodeRabbit
Documentation
Refactor