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⚡ Optimize _extract_params performance using string fast-path#1560
⚡ Optimize _extract_params performance using string fast-path #1560bgembalczyk wants to merge 3 commits into
_extract_params performance using string fast-path #1560Conversation
Added an early exit condition in `_extract_params` to bypass regex operations when no parentheses are present in the text, resulting in a significant performance improvement. Co-authored-by: bgembalczyk <101186475+bgembalczyk@users.noreply.github.com>
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Added an early exit condition in `_extract_params` to bypass regex operations when no parentheses are present in the text, resulting in a significant performance improvement. Also resolved terminology checks by replacing forbidden terms with canonical versions in domain models. Co-authored-by: bgembalczyk <101186475+bgembalczyk@users.noreply.github.com>
- Replaced missing internal parser imports after modules were moved around in previous PRs. - Ensured tests run successfully and tests pass. Co-authored-by: bgembalczyk <101186475+bgembalczyk@users.noreply.github.com>
💡 What: Added a string containment fast-path guard clause (
if "(" not in text: return text.strip(), []) to_extract_paramsinscrapers/columns/types/sponsor.py.🎯 Why: To prevent the execution of regex parsing functions (
.findall()and.sub()) on strings that do not contain parentheses, bypassing the regex engine overhead during large loop iterations.📊 Measured Improvement: In isolated benchmarks:
Overall, this provides a highly measurable performance boost for typical datasets where not every sponsor string contains parameter parentheses.
PR created automatically by Jules for task 10560369789757742469 started by @bgembalczyk