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⚡ Bolt: Optimize timestamp parsing with fast path #109

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⚡ Bolt: Optimize timestamp parsing with fast path #109

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3 changes: 3 additions & 0 deletions .jules/bolt.md
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Original file line number Diff line number Diff line change
Expand Up @@ -16,3 +16,6 @@
## 2024-06-28 - Optimize array lookups in high-frequency React event handlers
**Learning:** Even if data is pre-processed/memoized (like cached `parsedTimestamps`), performing an O(N) linear search on that array inside a high-frequency event handler (like `<video onTimeUpdate>`, which fires multiple times per second) can cause UI stuttering for large arrays.
**Action:** When searching sorted arrays (like ordered video timestamps) in high-frequency event loops, replace linear iteration loops with an O(log N) binary search to minimize main thread blocking and ensure smooth UI execution.
## 2026-08-19 - Fast path for timestamp parsing
**Learning:** For highly predictable string formats (like video timestamps HH:MM:SS.mmm), string splitting and generator comprehensions introduce unnecessary object allocation overhead.
**Action:** Use direct substring indexing and float casting as a fast path to improve performance during frequent parsing operations.
6 changes: 5 additions & 1 deletion backend/extractor.py
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Expand Up @@ -123,7 +123,11 @@ def _escape_drawtext(text: str) -> str:
return text

def _ts_to_seconds(ts: str) -> float:
parts = ts.strip().split(':')
ts = ts.strip()
# ⚡ Bolt: Fast path for standard HH:MM:SS.mmm timestamps to avoid string split/generator overhead
if len(ts) >= 8 and ts[2] == ':' and ts[5] == ':':
return float(ts[0:2]) * 3600 + float(ts[3:5]) * 60 + float(ts[6:])
parts = ts.split(':')
return sum(float(v) * m for v, m in zip(reversed(parts), [1, 60, 3600]))

def _hex_to_ffmpeg(color: str) -> str:
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