Regoranize generator code
This commit is contained in:
Dominic Ferrando
+119
-114
@@ -412,128 +412,65 @@ export class Standards {
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? this.activityStandards[activity].metadata.generators
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: [];
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const ageGenerators = allGenerators.filter(
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(g) => g.metric === "age",
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);
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for (const ageGenerator of ageGenerators) {
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for (const gender of Object.values(Gender)) {
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const peakAge = this.cfg.activity[activity].peakAge;
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const ageStep = 10;
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for (const generator of allGenerators) {
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if (generator.metric === "age") {
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for (const gender of Object.values(Gender)) {
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const peakAge = this.cfg.activity[activity].peakAge;
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const ageStep = 10;
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const minAge = 0;
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const maxAge = 100;
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const referenceStandard = this.byActivity(activity)
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.byMetrics({
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weight: getAvgWeight(gender, peakAge),
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gender,
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age: peakAge,
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})
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.getOneInterpolated();
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let currAge = minAge;
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while (currAge <= maxAge) {
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const newStandard: Standard = {
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metrics: {
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weight: getAvgWeight(gender, currAge),
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age: currAge,
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gender,
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},
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levels: {},
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};
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for (const lvl in referenceStandard.levels) {
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const base = referenceStandard.levels[lvl];
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if (!base) continue;
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const s = this.cfg.activity[activity].ageModifier;
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const youngFloor0 = 0.5;
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const oldFloor0 = 0.5;
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const youngFloor = 1 - (1 - youngFloor0) * s;
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const oldFloor = 1 - (1 - oldFloor0) * s;
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const cy =
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(s * (1 - youngFloor0)) /
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Math.pow(peakAge - minAge, 2);
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const co =
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(s * (1 - oldFloor0)) /
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Math.pow(maxAge - peakAge, 2);
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let f =
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currAge <= peakAge
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? 1 - cy * Math.pow(peakAge - currAge, 2)
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: 1 - co * Math.pow(currAge - peakAge, 2);
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const floor = Math.min(youngFloor, oldFloor);
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const fCurr = Math.max(floor, Math.min(1, f));
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newStandard.levels[lvl] = base * fCurr;
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}
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// prefer real data over generated data
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const overlappingStandard = this.byActivity(activity)
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.byMetrics(newStandard.metrics)
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.getOne();
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if (!overlappingStandard)
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this.activityStandards[activity].standards.push(
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newStandard,
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);
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currAge += ageStep;
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}
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}
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// now that we generated metric data, remove the old data
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this.activityStandards[activity].standards =
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this.activityStandards[activity].standards.filter(
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(s) => s.metrics.weight,
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);
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}
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const weightGenerators = allGenerators.filter(
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(g) => g.metric === "weight",
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);
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for (const weightGenerator of weightGenerators) {
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for (const gender of Object.values(Gender)) {
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for (const age of this.agesFor(activity, gender)) {
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const weightStep = 12;
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const referenceWeight = getAvgWeight(gender, age);
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const minWeight = Math.max(
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referenceWeight - 3 * weightStep,
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1,
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);
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const maxWeight = referenceWeight + 3 * weightStep;
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const minAge = 0;
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const maxAge = 100;
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const referenceStandard = this.byActivity(activity)
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.byMetrics({ weight: referenceWeight, gender, age })
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.byMetrics({
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weight: getAvgWeight(gender, peakAge),
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gender,
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age: peakAge,
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})
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.getOneInterpolated();
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let currWeight = minWeight;
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while (currWeight <= maxWeight) {
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let currAge = minAge;
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while (currAge <= maxAge) {
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const newStandard: Standard = {
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metrics: {
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weight: currWeight,
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age,
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weight: getAvgWeight(gender, currAge),
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age: currAge,
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gender,
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},
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levels: {},
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};
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// apply allometric scaling to generate levels
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for (const lvl in referenceStandard.levels) {
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if (!referenceStandard.levels[lvl]) continue;
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const base = referenceStandard.levels[lvl];
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if (!base) continue;
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const scalingExponent =
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this.cfg.activity[activity].weightModifier;
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const coefficient =
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currWeight / referenceWeight;
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const s =
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this.cfg.activity[activity].ageModifier;
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newStandard.levels[lvl] =
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referenceStandard.levels[lvl] *
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coefficient ** scalingExponent;
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const youngFloor0 = 0.5;
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const oldFloor0 = 0.5;
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const youngFloor = 1 - (1 - youngFloor0) * s;
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const oldFloor = 1 - (1 - oldFloor0) * s;
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const cy =
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(s * (1 - youngFloor0)) /
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Math.pow(peakAge - minAge, 2);
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const co =
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(s * (1 - oldFloor0)) /
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Math.pow(maxAge - peakAge, 2);
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let f =
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currAge <= peakAge
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? 1 -
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cy * Math.pow(peakAge - currAge, 2)
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: 1 -
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co * Math.pow(currAge - peakAge, 2);
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const floor = Math.min(youngFloor, oldFloor);
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const fCurr = Math.max(floor, Math.min(1, f));
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newStandard.levels[lvl] = base * fCurr;
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}
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// prefer real data over generated data
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@@ -547,16 +484,84 @@ export class Standards {
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newStandard,
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);
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currWeight += weightStep;
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currAge += ageStep;
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}
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}
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}
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// now that we generated metric data, remove the old data
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this.activityStandards[activity].standards =
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this.activityStandards[activity].standards.filter(
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(s) => s.metrics.weight,
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);
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// now that we generated metric data, remove the old data
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this.activityStandards[activity].standards =
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this.activityStandards[activity].standards.filter(
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(s) => s.metrics.weight,
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);
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} else if (generator.metric === "weight") {
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for (const gender of Object.values(Gender)) {
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for (const age of this.agesFor(activity, gender)) {
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const weightStep = 12;
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const referenceWeight = getAvgWeight(gender, age);
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const minWeight = Math.max(
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referenceWeight - 3 * weightStep,
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1,
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);
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const maxWeight = referenceWeight + 3 * weightStep;
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const referenceStandard = this.byActivity(activity)
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.byMetrics({
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weight: referenceWeight,
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gender,
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age,
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})
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.getOneInterpolated();
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let currWeight = minWeight;
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while (currWeight <= maxWeight) {
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const newStandard: Standard = {
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metrics: {
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weight: currWeight,
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age,
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gender,
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},
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levels: {},
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};
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// apply allometric scaling to generate levels
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for (const lvl in referenceStandard.levels) {
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if (!referenceStandard.levels[lvl])
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continue;
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const scalingExponent =
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this.cfg.activity[activity]
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.weightModifier;
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const coefficient =
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currWeight / referenceWeight;
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newStandard.levels[lvl] =
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referenceStandard.levels[lvl] *
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coefficient ** scalingExponent;
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}
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// prefer real data over generated data
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const overlappingStandard = this.byActivity(
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activity,
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)
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.byMetrics(newStandard.metrics)
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.getOne();
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if (!overlappingStandard)
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this.activityStandards[
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activity
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].standards.push(newStandard);
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currWeight += weightStep;
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}
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}
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}
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// now that we generated metric data, remove the old data
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this.activityStandards[activity].standards =
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this.activityStandards[activity].standards.filter(
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(s) => s.metrics.weight,
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);
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}
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}
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this.activityStandards[activity].standards = this.activityStandards[
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