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💡 What: - Introduced `prepareSearchIndex()` to pre-calculate `_searchStr` (lowercased concatenation of searchable fields), `_formattedDate`, and `_isNew` for all PDFs. - Updated `renderPDFs` to use `_searchStr` instead of repetitive `toLowerCase()` calls on multiple fields. - Updated `createPDFCard` to use pre-calculated `_formattedDate` and `_isNew` to avoid `new Date()` allocation in the render loop. - Integrated `prepareSearchIndex()` into `loadPDFDatabase` for both cached and fresh data paths. 🎯 Why: - Rendering the PDF grid was computationally expensive due to $O(N \times M)$ string operations and date parsing for every filter/search event. - This caused UI lag on lower-end devices when typing in the search box. 📊 Impact: - Reduces string operations in the search loop by ~75% (1 check vs 4 checks + lowercase). - Eliminates `new Date()` allocation during list rendering. - Keeps localStorage clean by using non-enumerable properties. 🔬 Measurement: - Verified with `node -c script.js` for syntax correctness. - Verified logic with `test_optimization.js` script (simulating data processing). Co-authored-by: MrAlokTech <107493955+MrAlokTech@users.noreply.github.com>
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Implemented a performance optimization for the PDF search and rendering logic. By pre-calculating search strings and date formats upon data load, we significantly reduce the computational overhead during the render loop, leading to a smoother UI experience, especially on mobile devices.
PR created automatically by Jules for task 15225528663369613112 started by @MrAlokTech