⚡ Bolt: Eliminate Array.from overhead in CSV parsing - #4313
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Replaced the Array.from initialization of rawColumns with a pre-allocated new Array and a standard for loop in src/p1am_control_system/frontend/src/lib/explorer/csv.ts. Co-authored-by: dieterolson <198168927+dieterolson@users.noreply.github.com>
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💡 What: Replaced the Array.from initialization of rawColumns with a pre-allocated new Array populated via a standard for loop in src/p1am_control_system/frontend/src/lib/explorer/csv.ts. Additionally fixed the cross-repo-python-integration.yml sparse-checkout configuration. 🎯 Why: Array.from with a mapped callback in V8 JavaScript engines incurs significant performance overhead during initialization due to iterability checks, iterator creation, and executing a closure for every element. This occurs on the critical path of loading new CSV data for exploration. 📊 Impact: Substantially reduces intermediate garbage collection pressure and speeds up array initialization during local CSV imports. 🔬 Measurement: Verify by executing the frontend tests via vitest run to ensure parsing correctness, and by measuring the time to import large CSV files. Co-authored-by: dieterolson <198168927+dieterolson@users.noreply.github.com>
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Consolidated into comprehensive PR #4429. |
Pull request was closed
Consolidation audit 2026-08-13 — this work is carried by #4438, not #4429#4429 ( A squash of #4429 — So #4438 was retitled CONS-B1 and landed; #4429, #4437 and #4439 were closed as superseded (#4437 and #4439 had byte-identical trees to each other). This PR's content is carried by #4438. |
…tion (#4438) Consolidates the Palette & Bolt suite that originated in #4429 (squash 91ea71b, itself covering merges of #4313, #4314, #4419, #4420) plus a movement-optimizer motion-view extraction, with Python formatting corrected to the CI-pinned ruff==0.14.10 and a Python 3.10 regression reverted. Substance: - Palette: form semantics, useId() label binding and role="alert" in RotationConverter.tsx and ODESolverCalculator.tsx. - Bolt: single-pass CSV string building in chartSnapshot.ts, Array.from removal in explorer/csv.ts, fewer intermediate allocations for SVG paths in LinePlot/ScatterPlot/SpectrumPlot.tsx. - refactor(movement-optimizer): extract MotionViewMixin into src/movement_optimizer/gui/motion_view.py. - fix(ci): correct sparse-checkout paths in cross-repo-python-integration.yml. - fix(tests): restore timezone.utc in test_action_audit.py; a pre-commit ruff pass had moved a noqa off its line, letting UP017 rewrite the import to datetime.UTC, which does not exist on Python 3.10. Supersedes, all closed as containing nothing this branch lacks: - #4429 — the original palette/bolt branch; quality-gate red at Format Check because its own pre-commit commits re-wrapped 86 files with a ruff that disagrees with the pin. Proven a strict semantic subset of this tree by normalising both sides with one ruff format pass. - #4437 and #4439 — byte-identical trees to each other (7fc2ce4), each only the #4429 squash plus a lint commit, despite advertising flight and rate-of-closure work. Palette/Bolt work items carried: #4310, #4311, #4313, #4314, #4418, #4419, #4420, #4421. None of the 59 still-open agent PRs named in the three closed PRs' descriptions are in this diff; they remain open and unconsolidated. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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💡 What: Replaced the
Array.from({ length: colCount }, () => new Array(...))initialization ofrawColumnswith a pre-allocatednew Array(colCount)populated via a standardforloop insrc/p1am_control_system/frontend/src/lib/explorer/csv.ts.🎯 Why:
Array.fromwith a mapped callback in V8 JavaScript engines incurs significant performance overhead during initialization due to iterability checks, iterator creation, and executing a closure for every element. This occurs on the critical path of loading new CSV data for exploration.📊 Impact: Substantially reduces intermediate garbage collection pressure and speeds up array initialization during local CSV imports.
🔬 Measurement: Verify by executing the frontend tests via
vitest runto ensure parsing correctness, and by measuring the time to import large CSV files.PR created automatically by Jules for task 1235263912546436300 started by @dieterolson