fix(doctor-report): take the day path for dense heart-rate variability and blood oxygen

The report's dense exception covered pulse and glucose. Heart-rate
variability and blood oxygen were read raw for any window, and a watch
or ring writing them every minute puts six figures of readings into a
long report that draws them as one sparkline.

Their report sections are a statistics row and a series, the same as
pulse, so they take the same rule: beyond 90 days per local day, and
inside 90 days per local day once the window holds more than 10 000 of
their readings. One grouped count decides each type on its own. Count,
minimum, maximum and the latest reading stay exact; the mean is the
readings' mean. Glucose keeps its own rule because its clinical panel
needs the per-reading counts.

The bucket query now takes a list of types instead of two flags.
This commit is contained in:
Marc-André Bombeck committed 2026-10-01 08:56:19 +02:00
1 parent e7fdcc208e
commit 730e9e7015
5 files changed
+133 -36

No files matched your search

@@ -9,12 +9,19 @@
* per local hour. A sparse account inside 90 days keeps its raw readings,
* byte for byte, and a bucket has the shape of a reading of its kind (no
* `valueMin` / `valueMax`, which only pulse carries).
*
* The doctor report applies the same rule to both: their sections are a
* statistics row and a series, so a dense window takes the per-day path pulse
* already takes, with exact count, minimum, maximum and latest reading.
*/
import { NextRequest } from "next/server";
import { beforeAll, describe, expect, it, vi } from "vitest";
import { cookieJar } from "./mock-next-headers";
import { getPrismaClient, truncateAllTables } from "./setup";
import { collectDoctorReportData } from "@/lib/doctor-report-data";
import { latestReading } from "@/lib/fhir/resources/common";
import { selectionFromLeaves } from "@/lib/report-selection/selection";
import { invalidateUserTimezone } from "@/lib/tz/resolver";
vi.mock("next/headers", async () => {
@@ -173,3 +180,61 @@ describe.each(KINDS)("$kind series", ({ kind, type, unit }) => {
);
});
});
describe.each(KINDS)("doctor report $type", ({ type }) => {
async function report(userId: string, days: number) {
const end = new Date();
const start = new Date(end.getTime() - days * 86_400_000);
return collectDoctorReportData(
userId,
{ start, end, days },
selectionFromLeaves([type]),
);
}
it("folds a dense window to one point per day, statistics exact", async () => {
const data = await report(DENSE, 30);
const points = data.measurements[type] ?? [];
expect(points.length).toBeLessThanOrEqual(14);
expect(points.length).toBeGreaterThanOrEqual(12);
const agg = await prisma.measurement.aggregate({
where: { userId: DENSE, type },
_count: true,
_avg: { value: true },
_min: { value: true },
_max: { value: true },
});
expect(data.stats[type]?.count).toBe(agg._count);
expect(data.stats[type]?.min).toBe(agg._min.value);
expect(data.stats[type]?.max).toBe(agg._max.value);
expect(data.stats[type]?.avg).toBeCloseTo(agg._avg.value ?? 0, 9);
const newest = await prisma.measurement.findFirstOrThrow({
where: { userId: DENSE, type },
orderBy: { measuredAt: "desc" },
select: { value: true, measuredAt: true },
});
expect(latestReading(data, type)).toEqual({
value: newest.value,
measuredAt: newest.measuredAt.toISOString(),
});
});
it("keeps a sparse window raw", async () => {
const data = await report(SPARSE, 30);
const count = await prisma.measurement.count({
where: {
userId: SPARSE,
type,
measuredAt: { gte: new Date(Date.now() - 30 * 86_400_000) },
},
});
expect(data.measurements[type]).toHaveLength(count);
expect(data.stats[type]?.count).toBe(count);
});
it("folds a window longer than 90 days per day", async () => {
const data = await report(SPARSE, 120);
expect(data.stats[type]?.count).toBe(45 * 3);
expect((data.measurements[type] ?? []).length).toBeLessThanOrEqual(46);
});
});