Merge branch 'wave/v125-delight' into release/v1.25.0

This commit is contained in:
Marc-André Bombeck committed 2026-06-28 14:41:41 +02:00
commit ccbf4e07ae
28 files changed
+1877 -8

No files matched your search

+4 -1
View File
@@ -20,7 +20,7 @@ import {
} from "@/lib/insights-layout";
describe("insights-layout v2 — section id universe", () => {
it("carries exactly the eight default sections in render order", () => {
it("carries exactly the default sections in render order", () => {
expect([...INSIGHTS_SECTION_IDS]).toEqual([
"wellness-scores",
"daily-briefing",
@@ -30,6 +30,9 @@ describe("insights-layout v2 — section id universe", () => {
"cycle-summary",
"signals",
"rhythm-events",
"health-status",
"breathing",
"labs-changes",
]);
});
@@ -101,7 +101,7 @@ const EXPECTED_TYPES = [
] as const;
describe("measurementTypeEnum coverage", () => {
it("exposes the 66 canonical measurement types", () => {
it("exposes the 67 canonical measurement types", () => {
expect([...measurementTypeEnum.options].sort()).toEqual(
[...EXPECTED_TYPES].sort(),
);
+3
View File
@@ -113,6 +113,9 @@ export const INSIGHTS_SECTION_IDS = [
"cycle-summary",
"signals",
"rhythm-events",
"health-status",
"breathing",
"labs-changes",
] as const;
export type InsightsSectionId = (typeof INSIGHTS_SECTION_IDS)[number];
@@ -0,0 +1,58 @@
import { describe, it, expect } from "vitest";
import {
summariseBreathing,
type BreathingRow,
} from "@/lib/insights/breathing-screening";
function night(daysAgo: number, value: number): BreathingRow {
return {
value,
measuredAt: new Date(Date.now() - daysAgo * 24 * 60 * 60 * 1000),
};
}
describe("summariseBreathing", () => {
it("is absent with no rows at all", () => {
const s = summariseBreathing([], []);
expect(s.present).toBe(false);
expect(s.nights).toBe(0);
expect(s.classification).toBeNull();
expect(s.trend).toBeNull();
});
it("classifies not-elevated with index nights and no events", () => {
const s = summariseBreathing([night(2, 3), night(1, 4)], []);
expect(s.present).toBe(true);
expect(s.nights).toBe(2);
expect(s.recentMeanIndex).toBe(3.5);
expect(s.classification).toBe("not-elevated");
});
it("classifies elevated when the device flagged events", () => {
const s = summariseBreathing([night(1, 5)], [night(1, 1)]);
expect(s.present).toBe(true);
expect(s.eventCount).toBe(1);
expect(s.classification).toBe("elevated");
});
it("computes an upward trend over enough nights", () => {
const rows = [
night(8, 2),
night(7, 2),
night(6, 2),
night(5, 8),
night(4, 8),
night(3, 8),
night(2, 8),
night(1, 8),
];
const s = summariseBreathing(rows, []);
expect(s.trend).toBe("up");
});
it("leaves the trend null with too few nights", () => {
const s = summariseBreathing([night(2, 4), night(1, 5)], []);
expect(s.trend).toBeNull();
});
});
@@ -0,0 +1,62 @@
import { describe, it, expect } from "vitest";
import { summariseHealthStatus } from "@/lib/insights/health-status";
import type { VitalDeviation } from "@/lib/insights/derived/coincident-deviation";
import type { ChangepointSignal } from "@/lib/insights/derived/changepoint";
function vital(
outside: boolean,
direction: VitalDeviation["direction"],
): VitalDeviation {
return {
type: "RESTING_HEART_RATE",
value: 70,
center: 60,
low: 55,
high: 65,
outside,
direction,
};
}
function shift(): ChangepointSignal {
return {
metric: "WEIGHT",
breakDate: "2026-06-10",
beforeMean: 80,
afterMean: 82,
direction: "up",
magnitude: 1.6,
};
}
describe("summariseHealthStatus", () => {
it("is absent when nothing is outside and no shift fired", () => {
const s = summariseHealthStatus([vital(false, "in")], []);
expect(s.present).toBe(false);
expect(s.deviations).toHaveLength(0);
expect(s.shifts).toHaveLength(0);
});
it("surfaces an out-of-band deviation", () => {
const s = summariseHealthStatus([vital(true, "above")], []);
expect(s.present).toBe(true);
expect(s.deviations).toHaveLength(1);
expect(s.deviations[0]).toMatchObject({
type: "RESTING_HEART_RATE",
direction: "above",
});
});
it("surfaces a changepoint shift even with no deviation", () => {
const s = summariseHealthStatus([vital(false, "in")], [shift()]);
expect(s.present).toBe(true);
expect(s.shifts).toHaveLength(1);
expect(s.shifts[0]).toMatchObject({ metric: "WEIGHT", direction: "up" });
});
it("drops a vital flagged outside but with an 'in' direction", () => {
const s = summariseHealthStatus([vital(true, "in")], []);
expect(s.present).toBe(false);
});
});
@@ -0,0 +1,67 @@
import { describe, it, expect } from "vitest";
import {
summariseLabChanges,
type LabChangeRow,
} from "@/lib/insights/labs-changes";
function row(
analyte: string,
value: number,
day: string,
opts: { unit?: string; low?: number | null; high?: number | null } = {},
): LabChangeRow {
return {
analyte,
unit: opts.unit ?? "mg/dL",
value,
referenceLow: opts.low ?? null,
referenceHigh: opts.high ?? null,
takenAt: new Date(`${day}T08:00:00.000Z`),
};
}
describe("summariseLabChanges", () => {
it("is absent with no rows", () => {
expect(summariseLabChanges([])).toMatchObject({ present: false });
});
it("is absent with a single panel", () => {
const s = summariseLabChanges([row("LDL", 130, "2026-06-01")]);
expect(s.present).toBe(false);
});
it("is absent when no analyte is shared across panels", () => {
const s = summariseLabChanges([
row("LDL", 130, "2026-06-01"),
row("HbA1c", 5.4, "2026-05-01"),
]);
expect(s.present).toBe(false);
});
it("pairs the two most-recent panels for a shared analyte", () => {
const s = summariseLabChanges([
row("LDL", 120, "2026-06-01", { high: 116 }),
row("LDL", 140, "2026-05-01"),
row("LDL", 150, "2026-04-01"),
]);
expect(s.present).toBe(true);
expect(s.latestDate).toBe("2026-06-01");
expect(s.previousDate).toBe("2026-05-01");
expect(s.changes).toHaveLength(1);
const c = s.changes[0];
expect(c.latest).toBe(120);
expect(c.previous).toBe(140);
expect(c.delta).toBe(-20);
expect(c.direction).toBe("down");
expect(c.status).toBe("above");
});
it("skips qualitative (non-finite) values", () => {
const s = summariseLabChanges([
row("LDL", Number.NaN, "2026-06-01"),
row("LDL", 140, "2026-05-01"),
]);
expect(s.present).toBe(false);
});
});
+122
View File
@@ -0,0 +1,122 @@
/**
* v1.25 — breathing-disturbance screening shaping.
*
* Reads the per-night sleep-breathing-disturbance index
* (`BREATHING_DISTURBANCES`, lower-better) and the device-flagged
* breathing-disturbance / possible-apnea events (`BREATHING_DISTURBANCE_EVENT`)
* a sync writes, and folds them into a calm awareness summary: how many nights
* are covered, the recent mean index, the short-window trend, and the device's
* own classification.
*
* This is a SCREENING SIGNAL ONLY — never a HealthLog diagnosis. The card built
* on top of this states that explicitly. The classification mirrors the device:
* a night the device flagged with one or more elevated-breathing events reads
* as "elevated"; with index nights and no flagged event it reads as
* "not-elevated". HealthLog invents no numeric threshold of its own.
*
* The math lives here, free of Prisma, so the present / absent / trend states
* are unit-testable in isolation.
*/
/** A single per-night reading (index) or a device-flagged event row. */
export interface BreathingRow {
value: number;
measuredAt: Date;
}
export type BreathingTrend = "up" | "down" | "stable" | null;
export type BreathingClassification = "not-elevated" | "elevated" | null;
export interface BreathingScreeningSummary {
/** True when there is any index night or any flagged event to surface. */
present: boolean;
/** Number of nights with a per-night index reading. */
nights: number;
/** Mean of the index readings (lower-better), rounded to 1dp; null when none. */
recentMeanIndex: number | null;
/**
* Direction of the recent index vs the prior window. "up" is worse (more
* disturbance). Null when there are too few nights to compare.
*/
trend: BreathingTrend;
/** Count of device-flagged breathing-disturbance / apnea events. */
eventCount: number;
/**
* The device's own classification: "elevated" when it flagged events,
* "not-elevated" when there are index nights and no flagged event, null when
* there is no data at all.
*/
classification: BreathingClassification;
}
/** Window (most-recent nights) the trend compares against the prior block. */
const TREND_WINDOW_NIGHTS = 7;
/** Need at least this many nights total before a trend is meaningful. */
const MIN_TREND_NIGHTS = 6;
/** Relative band within which the recent mean reads as "stable". */
const STABLE_BAND = 0.1;
function mean(xs: readonly number[]): number {
if (xs.length === 0) return 0;
let sum = 0;
for (const x of xs) sum += x;
return sum / xs.length;
}
const round1 = (n: number): number => Math.round(n * 10) / 10;
/**
* Summarise the breathing-screening signal. `indexRows` are the per-night
* index readings; `eventRows` are the device-flagged events. Order-independent
* — the helper sorts by `measuredAt` for the trend.
*/
export function summariseBreathing(
indexRows: readonly BreathingRow[],
eventRows: readonly BreathingRow[],
): BreathingScreeningSummary {
const sorted = [...indexRows]
.filter((r) => Number.isFinite(r.value))
.sort((a, b) => a.measuredAt.getTime() - b.measuredAt.getTime());
const nights = sorted.length;
const eventCount = eventRows.length;
if (nights === 0 && eventCount === 0) {
return {
present: false,
nights: 0,
recentMeanIndex: null,
trend: null,
eventCount: 0,
classification: null,
};
}
const values = sorted.map((r) => r.value);
const recentMeanIndex = nights > 0 ? round1(mean(values)) : null;
let trend: BreathingTrend = null;
if (nights >= MIN_TREND_NIGHTS) {
const recent = values.slice(-TREND_WINDOW_NIGHTS);
const prior = values.slice(0, -TREND_WINDOW_NIGHTS);
if (recent.length > 0 && prior.length > 0) {
const recentMean = mean(recent);
const priorMean = mean(prior);
const band = Math.abs(priorMean) * STABLE_BAND;
const delta = recentMean - priorMean;
trend = Math.abs(delta) <= band ? "stable" : delta > 0 ? "up" : "down";
}
}
const classification: BreathingClassification =
eventCount > 0 ? "elevated" : nights > 0 ? "not-elevated" : null;
return {
present: true,
nights,
recentMeanIndex,
trend,
eventCount,
classification,
};
}
+84
View File
@@ -0,0 +1,84 @@
/**
* v1.25 — health-status / baseline-drift shaping.
*
* Surfaces what is drifting from the user's own normal by combining two
* existing read-only engines:
* - the personal-band deviations from the coincident-deviation flag
* (`coincident-deviation.ts`, which fans `VITALS_BASELINE` across vitals),
* keeping only the vitals that sit OUTSIDE their band today, and
* - the dated, sustained level shifts from the changepoint detector
* (`changepoint.ts`).
*
* This module owns only the pure reshaping — taking the engine outputs and
* folding them into the flat response the card reads — so the present / absent
* states are unit-testable without Prisma. It never labels a cause and never
* diagnoses; it lists what changed and frames it as awareness only.
*/
import type { MeasurementType } from "@/generated/prisma/client";
import type { VitalDeviation } from "@/lib/insights/derived/coincident-deviation";
import type { ChangepointSignal } from "@/lib/insights/derived/changepoint";
/** One vital sitting outside its personal band today. */
export interface HealthStatusDeviation {
type: MeasurementType;
/** Today's value. */
value: number;
/** Band center (median). */
center: number;
low: number;
high: number;
/** Which side of the band the value falls on. */
direction: "above" | "below";
}
/** One dated, sustained level shift from the changepoint detector. */
export interface HealthStatusShift {
metric: MeasurementType;
/** YYYY-MM-DD of the first day of the new level. */
breakDate: string;
beforeMean: number;
afterMean: number;
direction: "up" | "down";
}
export interface HealthStatusSummary {
/** True when there is at least one deviation or one shift to surface. */
present: boolean;
deviations: HealthStatusDeviation[];
shifts: HealthStatusShift[];
}
/**
* Fold the band deviations + level shifts into the response shape. `vitals` is
* the full banded set from the coincident engine (any standing); only the
* out-of-band ones become deviations. `shifts` is the changepoint output as-is.
*/
export function summariseHealthStatus(
vitals: readonly VitalDeviation[],
shifts: readonly ChangepointSignal[],
): HealthStatusSummary {
const deviations: HealthStatusDeviation[] = vitals
.filter((v) => v.outside && v.direction !== "in")
.map((v) => ({
type: v.type,
value: v.value,
center: v.center,
low: v.low,
high: v.high,
direction: v.direction === "above" ? "above" : "below",
}));
const mappedShifts: HealthStatusShift[] = shifts.map((s) => ({
metric: s.metric,
breakDate: s.breakDate,
beforeMean: s.beforeMean,
afterMean: s.afterMean,
direction: s.direction,
}));
return {
present: deviations.length + mappedShifts.length > 0,
deviations,
shifts: mappedShifts,
};
}
+131
View File
@@ -0,0 +1,131 @@
/**
* v1.25 — "what changed since your last panel" shaping.
*
* Groups the user's numeric lab results by panel DATE (the calendar day of
* `takenAt`, UTC), finds the two most-recent dates, and for every analyte that
* appears in BOTH the latest and the previous panel reports the signed delta,
* the direction, and where the latest value sits against its reference band
* (`classifyReferenceRange`). Qualitative (valueText-only) results carry no
* numeric value, so they are skipped — a delta is meaningless for them.
*
* Pure + Prisma-free so the present / absent states are unit-testable: it is
* absent when there are fewer than two panel dates or no analyte is shared.
* Neutral framing only — a delta is not a diagnosis.
*/
import {
classifyReferenceRange,
type ReferenceRangeStatus,
} from "@/lib/labs/reference-range";
/** A single numeric lab reading. */
export interface LabChangeRow {
analyte: string;
unit: string;
value: number;
referenceLow: number | null;
referenceHigh: number | null;
takenAt: Date;
}
export interface LabChange {
analyte: string;
unit: string;
latest: number;
previous: number;
/** Signed latest − previous, rounded to 2dp. */
delta: number;
direction: "up" | "down" | "flat";
status: ReferenceRangeStatus;
}
export interface LabChangesSummary {
present: boolean;
/** YYYY-MM-DD of the most-recent panel, or null when absent. */
latestDate: string | null;
/** YYYY-MM-DD of the prior panel, or null when absent. */
previousDate: string | null;
changes: LabChange[];
}
const ABSENT: LabChangesSummary = {
present: false,
latestDate: null,
previousDate: null,
changes: [],
};
/** UTC calendar-day key (YYYY-MM-DD) for a sample instant. */
function dayKey(d: Date): string {
return d.toISOString().slice(0, 10);
}
/** Normalised analyte name for cross-panel matching (free-text tolerant). */
function analyteKey(analyte: string): string {
return analyte.trim().toLowerCase();
}
const round2 = (n: number): number => Math.round(n * 100) / 100;
/**
* Summarise the change between the two most-recent numeric lab panels. `rows`
* should already be the user's live (non-deleted) numeric results; this helper
* does the grouping + pairing.
*/
export function summariseLabChanges(
rows: readonly LabChangeRow[],
): LabChangesSummary {
const numeric = rows.filter((r) => Number.isFinite(r.value));
if (numeric.length === 0) return ABSENT;
// Group by panel day, keeping the latest reading per analyte within a day.
const byDay = new Map<string, Map<string, LabChangeRow>>();
for (const row of numeric) {
const day = dayKey(row.takenAt);
let analytes = byDay.get(day);
if (!analytes) {
analytes = new Map();
byDay.set(day, analytes);
}
const key = analyteKey(row.analyte);
const existing = analytes.get(key);
if (!existing || row.takenAt.getTime() >= existing.takenAt.getTime()) {
analytes.set(key, row);
}
}
const days = [...byDay.keys()].sort((a, b) => (a < b ? 1 : a > b ? -1 : 0));
if (days.length < 2) return ABSENT;
const latestDate = days[0];
const previousDate = days[1];
const latest = byDay.get(latestDate)!;
const previous = byDay.get(previousDate)!;
const changes: LabChange[] = [];
for (const [key, latestRow] of latest) {
const previousRow = previous.get(key);
if (!previousRow) continue;
const delta = round2(latestRow.value - previousRow.value);
const direction: LabChange["direction"] =
delta > 0 ? "up" : delta < 0 ? "down" : "flat";
changes.push({
analyte: latestRow.analyte,
unit: latestRow.unit,
latest: latestRow.value,
previous: previousRow.value,
delta,
direction,
status: classifyReferenceRange(
latestRow.value,
latestRow.referenceLow,
latestRow.referenceHigh,
),
});
}
if (changes.length === 0) return ABSENT;
changes.sort((a, b) => a.analyte.localeCompare(b.analyte));
return { present: true, latestDate, previousDate, changes };
}
+2
View File
@@ -39,6 +39,7 @@ import { healthRecordPaths } from "./health-record";
import { illnessPaths } from "./illness";
import { importPaths } from "./import";
import { insightsPaths } from "./insights";
import { insightsSignalPaths } from "./insights-signals";
import { labsPaths } from "./labs";
import { ocrPaths } from "./ocr";
import { measurementPaths } from "./measurements";
@@ -72,6 +73,7 @@ export const openApiPaths: NonNullable<ZodOpenApiObject["paths"]> = {
...coachFeedbackPaths,
...adminDiagnosticPaths,
...insightsPaths,
...insightsSignalPaths,
...moodPaths,
...settingsPaths,
...consentPaths,
+177
View File
@@ -0,0 +1,177 @@
/**
* OpenAPI route module — v1.25 read-only insight signals.
*
* Three calm awareness reads built on existing engines:
* - GET /api/insights/health-status baseline-drift (bands + changepoints)
* - GET /api/insights/breathing-screening sleep-breathing screening signal
* - GET /api/insights/labs-changes "what changed since your last panel"
*
* Each is pure compute over the rollup / lab tier — no provider call. Labels
* are resolved client-side from the type tokens, so the wire carries tokens
* only. Part of the OpenAPI route table; aggregated in `./index.ts`.
*/
import { z } from "zod/v4";
import type { ZodOpenApiObject } from "zod-openapi";
import { dataEnvelope, stdResponses } from "./shared";
const healthStatusResponse = z
.object({
present: z
.boolean()
.describe("True when at least one deviation or shift is surfaced."),
deviations: z.array(
z.object({
type: z.string().describe("MeasurementType token."),
value: z.number().describe("Today's value."),
center: z.number().describe("Personal band center (median)."),
low: z.number(),
high: z.number(),
direction: z.enum(["above", "below"]),
}),
),
shifts: z.array(
z.object({
metric: z.string().describe("MeasurementType token."),
breakDate: z
.string()
.describe("YYYY-MM-DD of the new level's first day."),
beforeMean: z.number(),
afterMean: z.number(),
direction: z.enum(["up", "down"]),
}),
),
generatedAt: z.string().describe("ISO-8601 instant the read was computed."),
})
.meta({
id: "InsightsHealthStatus",
description:
"Vitals drifting from the user's personal normal — band deviations plus dated, sustained level shifts. Awareness only, never a diagnosis.",
});
const breathingScreeningResponse = z
.object({
present: z.boolean(),
nights: z.number().int().describe("Nights with a per-night index reading."),
recentMeanIndex: z
.number()
.nullable()
.describe("Mean of the index readings (lower-better); null when none."),
trend: z
.enum(["up", "down", "stable"])
.nullable()
.describe("Recent index vs the prior window; null when too few nights."),
eventCount: z
.number()
.int()
.describe("Device-flagged breathing-disturbance / apnea events."),
classification: z
.enum(["not-elevated", "elevated"])
.nullable()
.describe("The device's own classification; null when no data."),
generatedAt: z.string(),
})
.meta({
id: "InsightsBreathingScreening",
description:
"Sleep-breathing-disturbance screening signal — a screening signal only, never a diagnosis.",
});
const labsChangesResponse = z
.object({
present: z.boolean(),
latestDate: z
.string()
.nullable()
.describe("YYYY-MM-DD of the most-recent panel."),
previousDate: z
.string()
.nullable()
.describe("YYYY-MM-DD of the prior panel."),
changes: z.array(
z.object({
analyte: z.string(),
unit: z.string(),
latest: z.number(),
previous: z.number(),
delta: z.number().describe("Signed latest − previous."),
direction: z.enum(["up", "down", "flat"]),
status: z.enum(["in-range", "below", "above", "unknown"]),
}),
),
generatedAt: z.string(),
})
.meta({
id: "InsightsLabsChanges",
description:
"Per-analyte change between the two most-recent numeric lab panels. Neutral framing, never a diagnosis.",
});
export const insightsSignalPaths: NonNullable<ZodOpenApiObject["paths"]> = {
"/api/insights/health-status": {
get: {
tags: ["Insights"],
summary: "Baseline-drift health status",
description:
"Surfaces vitals drifting from the user's personal normal — out-of-band deviations from the personal-baseline engine plus dated, sustained level shifts from the changepoint detector. Pure compute over the rollup tier; awareness only, never a diagnosis. Requires the insights module. Cookie or Bearer auth.",
responses: {
"200": {
description: "The drift summary.",
content: {
"application/json": {
schema: dataEnvelope(
healthStatusResponse,
"InsightsHealthStatusEnvelope",
),
},
},
},
...stdResponses,
},
},
},
"/api/insights/breathing-screening": {
get: {
tags: ["Insights"],
summary: "Sleep-breathing screening signal",
description:
"Summarises the last ~30 nights of the per-night sleep-breathing-disturbance index plus device-flagged events into a calm awareness read. A screening signal only — never a HealthLog diagnosis. Requires the insights module. Cookie or Bearer auth.",
responses: {
"200": {
description: "The breathing-screening summary.",
content: {
"application/json": {
schema: dataEnvelope(
breathingScreeningResponse,
"InsightsBreathingScreeningEnvelope",
),
},
},
},
...stdResponses,
},
},
},
"/api/insights/labs-changes": {
get: {
tags: ["Insights"],
summary: "What changed since your last lab panel",
description:
"Pairs the two most-recent numeric lab panels and reports each shared analyte's signed delta plus its reference-band standing. Absent when there are fewer than two panels or no analyte is shared. Neutral framing, never a diagnosis. Cookie or Bearer auth.",
responses: {
"200": {
description: "The lab-change summary.",
content: {
"application/json": {
schema: dataEnvelope(
labsChangesResponse,
"InsightsLabsChangesEnvelope",
),
},
},
},
...stdResponses,
},
},
},
};
+25
View File
@@ -137,4 +137,29 @@ export const insightsKeys = {
*/
insightsCoachRead: (metric: string) =>
["insights", "coach-read", metric] as const,
/**
* v1.25 — baseline-drift read (`/api/insights/health-status`). Combines the
* personal-band deviations + the dated changepoint shifts into one awareness
* card. Pure compute over the rollup tier; the `["insights"]` prefix keeps it
* in the standard invalidation fan-out (a measurement write busts it).
*/
insightsHealthStatus: () => ["insights", "health-status"] as const,
/**
* v1.25 — breathing-disturbance screening read
* (`/api/insights/breathing-screening`). Last ~30 nights of the per-night
* index + device-flagged events. The `["insights"]` prefix carries the
* invalidation fan-out from an Apple Health sleep batch write.
*/
insightsBreathingScreening: () =>
["insights", "breathing-screening"] as const,
/**
* v1.25 — "what changed since your last panel" read
* (`/api/insights/labs-changes`). The two most-recent numeric lab panels'
* shared-analyte deltas. The `["insights"]` prefix keeps it in the standard
* invalidation fan-out.
*/
insightsLabsChanges: () => ["insights", "labs-changes"] as const,
};