Get ui logic into working state

This commit is contained in:
Dominic Ferrando
2025-09-19 14:29:03 -04:00
parent da21e4e988
commit 9bc7035d62
4 changed files with 240 additions and 155 deletions
+86 -12
View File
@@ -1,4 +1,4 @@
import { Activity, Attribute, Gender, getAvgWeight, lbToKg, type ActivityPerformance, type Player, type StandardUnit } from "./util";
import { Activity, Attribute, Gender, getAvgWeight, kgToLb, lbToKg, type ActivityPerformance, type Player, type StandardUnit } from "./util";
// SOURCES
// Squat, Bench, Dead Lift:
@@ -182,7 +182,7 @@ export class LevelCalculator {
}
}
type StandardsConfig = {
export type StandardsConfig = {
maxLevel: number
}
@@ -210,7 +210,55 @@ export class Standards {
const ageGenerators = allGenerators.filter(g => g.metric === "age");
for (const ageGenerator of ageGenerators) {
// TODO
for (const gender of Object.values(Gender)) {
const referenceAge = 50;
const skewRatio = 0; // 0 = normal, 1 = max skew
const minAge = referenceAge - (ageGenerator.step * ageGenerator.spread * (1 - skewRatio));
const maxAge = referenceAge + (ageGenerator.step * ageGenerator.spread * (1 + skewRatio));
const referenceStandard = this
.byActivity(activity)
.byMetrics({ weight: getAvgWeight(gender, referenceAge), gender, age: referenceAge })
.getOneInterpolated();
let currAge = minAge;
while (currAge <= maxAge) {
const newStandard: Standard = {
metrics: {
weight: getAvgWeight(gender, currAge),
age: currAge,
gender
},
levels: {}
};
// apply allometric scaling to generate levels
for (const lvl in referenceStandard.levels) {
if (!referenceStandard.levels[lvl]) continue;
const scalingExponent = .1;
const coefficient = ageGenerator.ratio === "inverse" ?
referenceAge / currAge :
currAge / referenceAge;
newStandard.levels[lvl] = referenceStandard.levels[lvl] * (coefficient ** scalingExponent);
}
// prefer real data over generated data
const overlappingStandard = this
.byActivity(activity)
.byMetrics(newStandard.metrics)
.getOne();
if (!overlappingStandard)
this.activityStandards[activity].standards.push(newStandard);
currAge += ageGenerator.step;
}
}
// now that we generated metric data, remove the old data
this.activityStandards[activity].standards = this.activityStandards[activity].standards
.filter(s => s.metrics.weight)
}
const weightGenerators = allGenerators.filter(g => g.metric === "weight");
@@ -247,6 +295,7 @@ export class Standards {
const coefficient = weightGenerator.ratio === "inverse" ?
referenceWeight / currWeight :
currWeight / referenceWeight;
newStandard.levels[lvl] = referenceStandard.levels[lvl] * (coefficient ** scalingExponent);
}
@@ -265,9 +314,19 @@ export class Standards {
// now that we generated metric data, remove the old data
this.activityStandards[activity].standards = this.activityStandards[activity].standards
.filter(s => s.metrics.weight !== -1);
.filter(s => s.metrics.weight);
}
this.activityStandards[activity].standards = this.activityStandards[activity].standards
.sort((a, b) => {
const genderOrder: Record<Gender, number> = { Male: 0, Female: 1 };
const gA = genderOrder[b.metrics.gender] ?? 99;
const gB = genderOrder[b.metrics.gender] ?? 99;
if (gA !== gB) return gA - gB;
if (a.metrics.age !== b.metrics.age)
return a.metrics.age - b.metrics.age;
return a.metrics.weight - b.metrics.weight;
});
}
}
@@ -324,6 +383,7 @@ export class Standards {
};
const interpolateByAgeAndWeight = (metrics: Metrics): Standard => {
console.log(metrics);
const interpolateByWeight = (targetAge: number): Levels => {
const { lower: lowerAgeWeightStandard, upper: upperAgeWeightStandard } = this
.byActivity(activity)
@@ -367,10 +427,15 @@ export class Standards {
}
};
const getAllInterpolated = (): Standard[] => {
const getAllInterpolated = (opt?: { normalizeForLb?: boolean }): Standard[] => {
const metrics: Metrics = state as Metrics;
const interpolatedStandards: Standard[] = this.weightsFor(activity, metrics)
let weights = this.weightsFor(activity, metrics.gender, metrics.age);
if (opt?.normalizeForLb) {
weights = weights.map(w => lbToKg(Math.round(kgToLb(w))));
}
const interpolatedStandards: Standard[] = weights
.map(weight => interpolateByAgeAndWeight({ ...metrics, weight }));
return interpolatedStandards;
@@ -420,17 +485,26 @@ export class Standards {
return activities;
}
public weightsFor(activity: Activity, metrics: Metrics) {
const { lower } = this
// TODO: turn these into queries?
public weightsFor(activity: Activity, gender: Gender, age: number) {
const { lower, upper } = this
.byActivity(activity)
.byGender(metrics.gender)
.getNearest("age", metrics.age);
.byGender(gender)
.getNearest("age", age);
const lowerDiff = Math.abs(lower.metrics.age - age);
const upperDiff = Math.abs(upper.metrics.age - age);
const closestAge = lowerDiff < upperDiff ?
lower.metrics.age :
upper.metrics.age;
const weights = this
.byActivity(activity)
.byGender(metrics.gender)
.byAge(lower.metrics.age)
.byGender(gender)
.byAge(closestAge)
.getAll().map((s) => s.metrics.weight);
console.log({ age, closestAge, weights });
return weights;
}