perf: optimize file extension discovery in technology detection#418
Conversation
Avoid redundant string allocations and map insertions by checking if an extension has already been recorded before performing format! and to_string() operations. In projects with many files, this reduces O(N) allocations to O(M) where M is the number of unique extensions.
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📝 WalkthroughWalkthrough
ChangesExtension Collection Performance
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~5 minutes Poem
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
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Codecov Report✅ All modified and coverable lines are covered by tests. 📢 Thoughts on this report? Let us know! |
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💡 What: Optimized
RepoMetadata::collectinsrc/skills/detect.rsto avoid redundant string allocations and map insertions for file extensions.🎯 Why: The original code performed string formatting and map lookups for every file encountered during the directory walk, even for common extensions already processed.
📊 Impact: Reduces heap allocations from O(N) to O(M) where N is the number of files and M is the number of unique extensions. This significantly improves performance in large projects with thousands of files.
🔬 Measurement: Verified with
cargo test skills::detectand confirmed logic avoids redundant work.PR created automatically by Jules for task 10111704374037346123 started by @yacosta738