⚡️ Speed up function extract_google_drive_file_id by 66%
#154
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📄 66% (0.66x) speedup for
extract_google_drive_file_idinskyvern/forge/sdk/api/files.py⏱️ Runtime :
3.45 milliseconds→2.08 milliseconds(best of189runs)📝 Explanation and details
The optimization replaces repeated regex compilation with a pre-compiled regex pattern stored in a module-level variable
_drive_file_id_re.Key Change: Instead of calling
re.search(pattern, url)which compiles the regex on every function call, the optimized version uses a pre-compiledre.compile(pattern)object stored as_drive_file_id_reand calls its.search()method directly.Why This is Faster: Regular expression compilation is computationally expensive, involving pattern parsing and finite state machine construction. The line profiler shows the original
re.search()call taking 16.23ms (79.4% of total time) versus the optimized pre-compiled search taking only 3.86ms (47.5% of total time) - a 2.5x speedup on the critical path.Performance Impact: This optimization is particularly valuable given the function's usage context. The
download_file()function callsextract_google_drive_file_id()for every Google Drive URL processed, meaning this function is in a hot path for file downloading workflows. The 66% overall speedup will compound significantly when processing multiple files or in high-throughput scenarios.Test Case Performance: The optimization shows consistent 45-150% speedups across all test cases, with particularly strong gains on invalid URLs (96-149% faster) since the pre-compiled pattern can fail-fast without recompilation overhead. Large-scale tests demonstrate the optimization scales well, maintaining 60-80% speedups even when processing 1000 URLs.
The module-level compilation happens only once at import time, making this a zero-overhead optimization for repeated calls.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-extract_google_drive_file_id-mjaq2z7gand push.