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Add a short-horizon OLS projection over the DAY-native per-day mean series, extending the existing trendSlope. The fit, residual standard error and prediction interval are computed at DAY granularity only — the rollup invariant forbids composing a slope/sd from WEEK/MONTH buckets. The projection is gated on fit quality (R squared), in-window history and staleness: below any floor the engine returns insufficient rather than a weak line, so noise is never extrapolated. The prediction-interval band widens with the horizon distance from the data centre, so the fan visibly communicates uncertainty. Register TRAJECTORY in the derived registry and dispatch (additive, iOS-forward-compatible; the capabilities endpoint and drift-guard pick it up automatically). Surface it on the weight detail page as a forecast band beneath the chart, labelled a projection with the cited method and a conditional, range-only headline — never a prediction or a dated event. i18n across all six locales.
319 lines
11 KiB
TypeScript
319 lines
11 KiB
TypeScript
/**
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* v1.10.0 — the closed `DERIVED_METRIC_ID` enum + per-metric metadata.
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*
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* One single source the generic `/api/insights/derived` route, the
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* OpenAPI registration, and the QA inventory all share. An id added here
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* is accepted by the route automatically; an unknown id 422s against the
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* closed enum (the v1.8.7.1 `metric-status` pattern).
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*
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* Wave 1 implements ONE metric end-to-end as the reference: the personal
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* typical-range vitals baseline (`VITALS_BASELINE`). The other catalogue
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* metrics are registered here as metadata STUBS — their `archetype`
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* documents the shape later waves plug in, but their compute functions
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* land in W2/W3 (`fitness-age.ts`, `vascular-age.ts`, `sleep-score.ts`,
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* `readiness.ts`, the coincident-deviation flag). A stubbed metric routed
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* before its compute lands returns `insufficient` via the dispatcher's
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* `not-implemented` guard, never a fabricated value.
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*
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* Metadata only — no compute, no server imports — so this stays
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* client-safe and the route enum / OpenAPI can import it freely.
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*/
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import type { MeasurementType } from "@/generated/prisma/client";
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/**
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* The closed set of derived-metric ids. The single vocabulary the route
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* query param, the OpenAPI enum, and the cache scope all speak.
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*/
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export type DerivedMetricId =
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/** FLAGSHIP (W1): personal typical-range band for one vital. */
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| "VITALS_BASELINE"
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/** W2: VO₂max → age/sex band + chronological-age delta (passthrough re-frame). */
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| "FITNESS_AGE"
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/** W2: VASCULAR_AGE/PWV → age-delta band (passthrough re-frame). */
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| "VASCULAR_AGE_DELTA"
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/** W3: transparent sleep composite. */
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| "SLEEP_SCORE"
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/** W3: wellness/readiness index (extends the health-score blend). */
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| "READINESS"
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/** W3: multi-signal coincident-deviation early-strain flag. */
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| "COINCIDENT_DEVIATION"
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/** W2: HRV (SDNN) personal-trend balance band (reuses the baseline engine). */
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| "HRV_BALANCE"
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/** W2: BMI from weight + height (fallback when no device BMI). */
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| "BMI"
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/** Persisted nightly recovery composite (passthrough read of COMPUTED rows). */
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| "RECOVERY_SCORE"
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/** Persisted nightly stress composite (passthrough read of COMPUTED rows). */
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| "STRESS_SCORE"
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/** Persisted nightly strain composite (passthrough read of COMPUTED rows). */
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| "STRAIN_SCORE"
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/** v1.10.3: overnight wrist-temperature personal-deviation band (baseline engine). */
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| "WRIST_TEMPERATURE_BASELINE"
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/** v1.10.3: stair-ascent-speed personal trend band (baseline engine). */
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| "STAIR_ASCENT_SPEED_BASELINE"
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/** v1.10.3: stair-descent-speed personal trend band (baseline engine). */
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| "STAIR_DESCENT_SPEED_BASELINE"
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/** v1.10.3: estimated 6-minute-walk distance vs Enright-predicted (passthrough re-frame). */
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| "SIX_MINUTE_WALK_BAND"
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/** v1.11.0 (Epic B): short-horizon OLS projection with a widening prediction band. */
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| "TRAJECTORY";
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// Documented-as-omitted (v1.10.3): two additive HealthKit signals stay
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// trend-only with NO derived band, on purpose —
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// - FALL_COUNT is a zero-inflated discrete safety EVENT (target = zero); a
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// median ± k·MAD band on a near-constant-zero series is meaningless and a
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// band would imply a smooth metric where there is none.
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// - BREATHING_DISTURBANCES is a regulated sleep-apnea SCREENING signal (Apple
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// publishes only NotElevated/Elevated, no numeric cutoff); a self-derived
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// band would read as a HealthLog verdict on a screening signal and imply a
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// diagnosis. The fired BREATHING_DISTURBANCE_EVENT carries the device's own
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// classification in the awareness card; the continuous index stays a plain
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// trend with the generic assessment.
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/** Archetype of a derived metric — drives shaping + the QA inventory. */
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export type DerivedArchetype =
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/** Renders whenever its single input series exists; no min-input threshold beyond its own history. */
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| "any-user-baseline"
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/** A device-computed value re-framed against a norm band — never recomputed. */
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| "passthrough-reframe"
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/** Needs a minimum-inputs threshold, reweights around missing inputs, shows coverage/confidence. */
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| "composite";
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export interface DerivedMetricMeta {
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id: DerivedMetricId;
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/** Stable English display name (surfaces localise their own prose). */
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displayName: string;
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archetype: DerivedArchetype;
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/**
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* The named inputs the metric reads. For `VITALS_BASELINE` these are
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* `MeasurementType` names (the caller selects one via the route's
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* `type` opt); for a composite the set may also name non-measurement
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* signals (e.g. "MOOD", a derived sub-score) the coverage model counts
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* against — hence `string`, not `MeasurementType`.
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*/
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inputs: string[];
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/**
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* Minimum distinct history-days an input needs before a band/headline
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* is produced. Below the floor the metric returns `insufficient`.
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*/
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minHistoryDays: number;
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/**
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* For a composite: the minimum number of `inputs` that must be present
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* before a headline is produced (no 1-of-N headline). `1` for
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* any-user / passthrough metrics.
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*/
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minInputs: number;
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/** `true` once a compute function backs this id; `false` = W2/W3 stub. */
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implemented: boolean;
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}
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/**
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* The vitals the typical-range baseline engine supports. The route's
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* `type` opt must name one of these; any other type 422s. Mirrors the
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* metric-1 input set from the catalogue (§1, row 1).
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*/
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export const VITALS_BASELINE_TYPES: MeasurementType[] = [
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"RESTING_HEART_RATE",
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"HEART_RATE_VARIABILITY",
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"RESPIRATORY_RATE",
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"OXYGEN_SATURATION",
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"BODY_TEMPERATURE",
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"SKIN_TEMPERATURE",
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"BLOOD_PRESSURE_SYS",
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"BLOOD_PRESSURE_DIA",
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"BLOOD_GLUCOSE",
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"PULSE",
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"WEIGHT",
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];
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const REGISTRY: Record<DerivedMetricId, DerivedMetricMeta> = {
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VITALS_BASELINE: {
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id: "VITALS_BASELINE",
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displayName: "Personal typical range",
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archetype: "any-user-baseline",
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inputs: VITALS_BASELINE_TYPES,
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minHistoryDays: 7,
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minInputs: 1,
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implemented: true,
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},
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FITNESS_AGE: {
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id: "FITNESS_AGE",
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displayName: "Cardio-fitness band",
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archetype: "passthrough-reframe",
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inputs: ["VO2_MAX"],
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minHistoryDays: 1,
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minInputs: 1,
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implemented: true,
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},
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VASCULAR_AGE_DELTA: {
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id: "VASCULAR_AGE_DELTA",
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displayName: "Vascular-age delta",
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archetype: "passthrough-reframe",
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inputs: ["VASCULAR_AGE", "PULSE_WAVE_VELOCITY"],
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minHistoryDays: 1,
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minInputs: 1,
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implemented: true,
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},
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SLEEP_SCORE: {
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id: "SLEEP_SCORE",
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displayName: "Sleep score",
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archetype: "composite",
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inputs: ["SLEEP_DURATION"],
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minHistoryDays: 1,
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minInputs: 1,
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implemented: true,
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},
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READINESS: {
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id: "READINESS",
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displayName: "Wellness / readiness index",
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archetype: "composite",
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inputs: [
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"RESTING_HEART_RATE",
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"HEART_RATE_VARIABILITY",
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"SLEEP_DURATION",
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"RESPIRATORY_RATE",
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"MOOD",
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],
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minHistoryDays: 7,
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minInputs: 2,
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implemented: true,
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},
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COINCIDENT_DEVIATION: {
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id: "COINCIDENT_DEVIATION",
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displayName: "Coincident-deviation flag",
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archetype: "composite",
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inputs: VITALS_BASELINE_TYPES,
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minHistoryDays: 7,
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minInputs: 2,
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implemented: true,
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},
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HRV_BALANCE: {
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id: "HRV_BALANCE",
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displayName: "HRV (SDNN) balance",
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archetype: "any-user-baseline",
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inputs: ["HEART_RATE_VARIABILITY"],
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minHistoryDays: 7,
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minInputs: 1,
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implemented: true,
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},
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BMI: {
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id: "BMI",
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displayName: "Body-mass index",
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archetype: "any-user-baseline",
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inputs: ["WEIGHT", "HEIGHT"],
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minHistoryDays: 1,
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minInputs: 2,
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implemented: true,
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},
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RECOVERY_SCORE: {
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id: "RECOVERY_SCORE",
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displayName: "Recovery score",
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archetype: "passthrough-reframe",
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inputs: ["RECOVERY_SCORE"],
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minHistoryDays: 1,
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minInputs: 1,
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implemented: true,
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},
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STRESS_SCORE: {
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id: "STRESS_SCORE",
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displayName: "Stress score",
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archetype: "passthrough-reframe",
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inputs: ["STRESS_SCORE"],
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minHistoryDays: 1,
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minInputs: 1,
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implemented: true,
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},
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STRAIN_SCORE: {
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id: "STRAIN_SCORE",
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displayName: "Strain score",
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archetype: "passthrough-reframe",
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inputs: ["STRAIN_SCORE"],
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minHistoryDays: 1,
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minInputs: 1,
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implemented: true,
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},
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WRIST_TEMPERATURE_BASELINE: {
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id: "WRIST_TEMPERATURE_BASELINE",
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displayName: "Wrist-temperature baseline",
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archetype: "any-user-baseline",
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inputs: ["WRIST_TEMPERATURE"],
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minHistoryDays: 7,
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minInputs: 1,
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implemented: true,
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},
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STAIR_ASCENT_SPEED_BASELINE: {
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id: "STAIR_ASCENT_SPEED_BASELINE",
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displayName: "Stair-ascent-speed baseline",
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archetype: "any-user-baseline",
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inputs: ["STAIR_ASCENT_SPEED"],
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minHistoryDays: 7,
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minInputs: 1,
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implemented: true,
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},
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STAIR_DESCENT_SPEED_BASELINE: {
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id: "STAIR_DESCENT_SPEED_BASELINE",
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displayName: "Stair-descent-speed baseline",
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archetype: "any-user-baseline",
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inputs: ["STAIR_DESCENT_SPEED"],
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minHistoryDays: 7,
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minInputs: 1,
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implemented: true,
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},
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SIX_MINUTE_WALK_BAND: {
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id: "SIX_MINUTE_WALK_BAND",
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displayName: "Estimated 6-minute-walk band",
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archetype: "passthrough-reframe",
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inputs: ["SIX_MINUTE_WALK_DISTANCE"],
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minHistoryDays: 1,
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minInputs: 1,
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implemented: true,
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},
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TRAJECTORY: {
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id: "TRAJECTORY",
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// Short-horizon OLS projection over a single chosen metric. The caller
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// selects the projected type via the route's `type` opt (validated
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// against `TRAJECTORY_TYPES`); below the R²/history/staleness floor the
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// engine returns `insufficient`, never a weak line — so the
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// `minHistoryDays` here documents the engine's own 14-day fit floor.
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displayName: "Short-horizon projection",
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archetype: "any-user-baseline",
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inputs: VITALS_BASELINE_TYPES,
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minHistoryDays: 14,
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minInputs: 1,
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implemented: true,
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},
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};
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/** Closed set of ids the generic route accepts (Zod enum source). */
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export const DERIVED_METRIC_IDS = Object.keys(REGISTRY) as DerivedMetricId[];
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/** Type guard narrowing an arbitrary string to a registered derived id. */
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export function isDerivedMetricId(value: string): value is DerivedMetricId {
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return Object.prototype.hasOwnProperty.call(REGISTRY, value);
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}
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/** Resolve a derived metric's metadata, or `null` when unregistered. */
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export function getDerivedMetricMeta(
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metric: string,
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): DerivedMetricMeta | null {
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return isDerivedMetricId(metric) ? REGISTRY[metric] : null;
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}
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/** `true` when the type is a vital the baseline engine supports. */
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export function isVitalsBaselineType(type: string): boolean {
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return (VITALS_BASELINE_TYPES as string[]).includes(type);
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}
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/**
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* The metrics the short-horizon `TRAJECTORY` engine supports. Reuses the
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* vitals baseline set — slow, daily physiological day-series for which a
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* conservative 7–14-day OLS projection is honest; the engine gates anything
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* without a real trend out to `insufficient` regardless.
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*/
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export const TRAJECTORY_TYPES: MeasurementType[] = VITALS_BASELINE_TYPES;
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/** `true` when the type is a metric the trajectory engine supports. */
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export function isTrajectoryType(type: string): boolean {
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return (TRAJECTORY_TYPES as string[]).includes(type);
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}
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