⚡ Bolt: scripts: make-sbom.py: optimize opkg parsing speed#108
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Avoid allocating massive intermediate objects (lists of lines and dictionaries of all fields per block) during parsing of large index files. Using string find reduces memory consumption and halves the processing time on large data sizes. Signed-off-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com> Co-authored-by: manupawickramasinghe <73810867+manupawickramasinghe@users.noreply.github.com>
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💡 What: Optimize the
get_opkg_sbomparsing logic inscripts/make-sbom.pyby replacing afor line in text.splitlines():dictionary-building loop with faststr.findindexing.🎯 Why: To drastically reduce intermediate object allocations (lists of strings, dictionaries with many unused keys) and memory bloat when generating an SBOM from a very large OPKG index file, lowering both memory usage and total execution time.
📊 Impact: The optimized method cuts parsing time for a 50,000 package file by roughly 50% (~0.87s to ~0.41s) and uses significantly less memory due to O(1) object creation.
🔬 Measurement:
python3 bench2.pyin the workspace demonstrated the ~2x performance gain, andpython3 -m unittest discover -s scripts -p 'test_*.py'passes successfully.Signed-off-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
PR created automatically by Jules for task 7781707570110447472 started by @manupawickramasinghe