⚡ Bolt: Optimize section header prefix checking - #422
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Switched from `any(line.startswith(h) for h in list)` to `line.startswith(tuple)`, pushing iteration to C layer. Removed redundant derivative checks (`header + ":"`). Co-authored-by: anchapin <6326294+anchapin@users.noreply.github.com>
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Reviewer's guide (collapsed on small PRs)Reviewer's GuideOptimizes section header detection in the job parser by converting the header keyword collection to a tuple and using startswith() directly, changing how section-like lines are filtered while improving performance in large text parsing loops. File-Level Changes
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Hey - I've left some high level feedback:
- The new
startswith(section_header_starts)logic drops the previousheader + ':'handling, so lines likerequirements:orresponsibilities:will now be treated as bullets instead of headers; consider preserving the colon variants or documenting this behavioral change explicitly. - If section header prefixes are static, consider moving
section_header_startsto a module-level constant so the tuple isn’t recreated on every_extract_items_from_textcall, which better aligns with the performance optimization goal.
Prompt for AI Agents
Please address the comments from this code review:
## Overall Comments
- The new `startswith(section_header_starts)` logic drops the previous `header + ':'` handling, so lines like `requirements:` or `responsibilities:` will now be treated as bullets instead of headers; consider preserving the colon variants or documenting this behavioral change explicitly.
- If section header prefixes are static, consider moving `section_header_starts` to a module-level constant so the tuple isn’t recreated on every `_extract_items_from_text` call, which better aligns with the performance optimization goal.Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
💡 What: Change section_header_starts to a tuple and pass it directly to startswith().\n🎯 Why: Using a tuple with startswith pushes the iteration to optimized C code, avoiding the O(N) overhead of generator expressions inside loops.\n📊 Impact: Speeds up prefix matching significantly on large texts.\n🔬 Measurement: Run the test suite and observe no functional changes while text processing speed increases.
PR created automatically by Jules for task 5897188167847207126 started by @anchapin
Summary by Sourcery
Enhancements: