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3 changes: 3 additions & 0 deletions .jules/bolt.md
Original file line number Diff line number Diff line change
Expand Up @@ -4,3 +4,6 @@
## 2026-07-12 - Optimize renderTaskRow DOM allocations
**Learning:** Caching unattached template nodes and instantiating them via `.cloneNode(false)` reduces DOM instantiation overhead in O(N) render loops significantly.
**Action:** Apply this optimization to other hot-path rendering elements such as rows, cells, and stack containers.
## 2026-08-18 - Optimize loop performance by replacing reduce/forEach with standard loops and Int32Array
**Learning:** Using `Array.prototype.reduce`/`forEach` and `Map` incurs significant callback allocation, hash-lookup overhead, and garbage collection pauses in hot O(N) rendering paths.
**Action:** Replace high-frequency mapping/reductions with standard `for` loops and typed arrays (like `Int32Array`) to bypass JavaScript engine overhead.
25 changes: 15 additions & 10 deletions app.js
Original file line number Diff line number Diff line change
Expand Up @@ -1370,21 +1370,26 @@ function validateDateRange(startLabel, startValue, endLabel, endValue, errors) {
}

function computeTaskMetrics() {
// ⚡ Bolt: Cache durationDays during total calculation to avoid recalculating for every task
const durationCache = new Map();
const totalDays = state.tasks.reduce((sum, task) => {
const duration = calculateDurationDays(task.plannedStartDate, task.plannedEndDate);
durationCache.set(task.id, duration);
return sum + duration;
}, 0);
// ⚡ Bolt: Use Int32Array and standard for-loops instead of Map and Array.reduce/forEach
// to eliminate JS callback allocation, Map hash-lookups, and garbage collection overhead.
const numTasks = state.tasks.length;
const durations = new Int32Array(numTasks);
let totalDays = 0;

for (let i = 0; i < numTasks; i++) {
const duration = calculateDurationDays(state.tasks[i].plannedStartDate, state.tasks[i].plannedEndDate);
durations[i] = duration;
totalDays += duration;
}

const baseDate = state.baseDate;
const byTask = new Map();
let totalWeightedPlannedRatio = 0;
let totalWeightedActualRatio = 0;

state.tasks.forEach((task) => {
const durationDays = durationCache.get(task.id);
for (let i = 0; i < numTasks; i++) {
const task = state.tasks[i];
const durationDays = durations[i];
const weightRatio = totalDays > 0 ? durationDays / totalDays : 0;
const plannedProgressRatio = calculatePlannedProgressRatio(baseDate, task.plannedStartDate, task.plannedEndDate, durationDays);
const actualProgressRatio = (ACTUAL_PROGRESS_MAP[task.actualProgressStatus] || 0) / 100;
Expand All @@ -1408,7 +1413,7 @@ function computeTaskMetrics() {
plannedDateWarning,
actualDateWarning
});
});
}

return {
totalDays,
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