Detects when user changes same config setting 3+ times within 24 hours. Shows non-intrusive prompt offering help with guided calibration flow. Guided calibration features: - Test for false positives (walk around room) - Test for missed motion (sit still) - Suggest optimal value based on diurnal baseline SNR and link health - Apply suggested value button Files: - dashboard/js/proactive.js: Complete implementation with localStorage tracking Acceptance: - Help prompt fires after 3+ changes in 24h - Calibration flow tests both directions - Suggests value based on system data - Apply button works
28 lines
1,003 B
JavaScript
28 lines
1,003 B
JavaScript
"use strict";
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exports.__esModule = true;
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exports.unsafeUniformBigIntDistribution = void 0;
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var SBigInt = typeof BigInt !== 'undefined' ? BigInt : undefined;
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function unsafeUniformBigIntDistribution(from, to, rng) {
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var diff = to - from + SBigInt(1);
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var MinRng = SBigInt(-0x80000000);
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var NumValues = SBigInt(0x100000000);
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var FinalNumValues = NumValues;
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var NumIterations = 1;
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while (FinalNumValues < diff) {
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FinalNumValues *= NumValues;
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++NumIterations;
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}
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var MaxAcceptedRandom = FinalNumValues - (FinalNumValues % diff);
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while (true) {
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var value = SBigInt(0);
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for (var num = 0; num !== NumIterations; ++num) {
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var out = rng.unsafeNext();
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value = NumValues * value + (SBigInt(out) - MinRng);
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}
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if (value < MaxAcceptedRandom) {
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var inDiff = value % diff;
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return inDiff + from;
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}
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}
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}
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exports.unsafeUniformBigIntDistribution = unsafeUniformBigIntDistribution;
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