fix(coach): read one lab marker's history in full

With an analyte, the Coach's labs block read the newest 4,000 lab rows of
every marker and matched the asked-for one in memory afterwards. An account
with that many newer readings of other markers lost the marker's older
readings, so its count and first date named a shorter history than the
record holds, or the marker vanished. The match now runs in SQL before the
row cap, on the biomarker's name for a linked row and the row's own name
otherwise, and the history compares units with sameLabUnit, so a reading
stored as "MG/DL" beside "mg/dL" stays in the series.
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Marc-André Bombeck committed 2026-10-22 18:22:36 +02:00
1 parent 466dfb3785
commit c15c1d18f3
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@@ -51,6 +51,7 @@
* is always owner-scoped and safe to read), so the block is `null` only when the
* account has no recent readings.
*/
import { sameLabUnit } from "@/lib/labs/unit-normalise";
import {
UNBOUNDED_REACH,
reachFloor,
@@ -240,11 +241,26 @@ export async function buildLabsSnapshotBlock(
// Newest reading first: the first row seen per biomarker is its MOST RECENT
// value, every later row of it feeds its history. Field-by-field `where` —
// never a spread.
//
// With an analyte the match runs in SQL, before the row cap: matched in
// memory after it, the newest rows of every other marker used up the cap,
// and the asked-for marker lost its older readings (or vanished) without a
// word. A row's resolved name is its biomarker's when it is linked, its own
// otherwise; the in-memory check below stays the final word.
const rows = await prisma.labResult.findMany({
where: {
userId,
deletedAt: null,
takenAt: floor ? { gte: floor, lte: now } : { lte: now },
OR: wanted
? [
{
biomarkerId: null,
analyte: { contains: wanted, mode: "insensitive" },
},
{ biomarker: { name: { contains: wanted, mode: "insensitive" } } },
]
: undefined,
},
orderBy: { takenAt: "desc" },
take: MAX_ROWS,
@@ -297,7 +313,12 @@ export async function buildLabsSnapshotBlock(
const key = row.biomarkerId ?? `analyte:${resolved.analyte.toLowerCase()}`;
const existing = entries.get(key);
if (existing) {
if (wanted && row.value !== null && resolved.unit === existing.unit) {
// One unit written two ways ("mg/dl", "mg/dL") is one series.
if (
wanted &&
row.value !== null &&
sameLabUnit(resolved.unit, existing.unit)
) {
existing.earlier.push({
value: row.value,
takenAt: row.takenAt,
@@ -0,0 +1,66 @@
/**
* The Coach's history of one lab marker is read in full, whatever else the
* account has measured since.
*
* The block used to read the newest 4,000 lab rows of every marker and match
* the asked-for one in memory afterwards. An account with more than that many
* newer readings of other markers (a home glucose or INR log is enough) lost
* the asked-for marker's older readings, so its `count` and `firstTakenAt`
* named a shorter history than the record holds, or the marker vanished. The
* same history also left out a reading whose unit was written another way
* ("MG/DL" beside "mg/dL").
*/
import { beforeEach, describe, expect, it } from "vitest";
import { buildLabsSnapshotBlock } from "@/lib/ai/coach/labs-snapshot";
import { makeUser } from "../kit/factories";
import { getPrismaClient, truncateAllTables } from "./setup";
const prisma = getPrismaClient();
const DAY_MS = 24 * 60 * 60 * 1000;
beforeEach(() => truncateAllTables(prisma));
describe("buildLabsSnapshotBlock with an analyte", () => {
it("reads the marker's whole history past thousands of newer readings of other markers", async () => {
const user = await makeUser();
const now = new Date();
const daysAgo = (days: number) => new Date(now.getTime() - days * DAY_MS);
// Three LDL readings, the oldest two years back; one of them stored with
// the unit written in capitals.
await prisma.labResult.createMany({
data: [
{ takenAt: daysAgo(730), value: 151, unit: "MG/DL" },
{ takenAt: daysAgo(400), value: 142, unit: "mg/dL" },
{ takenAt: daysAgo(200), value: 128, unit: "mg/dL" },
].map((reading) => ({
userId: user.id,
analyte: "LDL",
...reading,
})),
});
// 4,500 newer readings of another marker, all after the last LDL.
await prisma.labResult.createMany({
data: Array.from({ length: 4_500 }, (_, index) => ({
userId: user.id,
analyte: "Glucose",
value: 90 + (index % 20),
unit: "mg/dL",
takenAt: new Date(daysAgo(199).getTime() + index * 60_000),
})),
});
const block = await buildLabsSnapshotBlock(user.id, now, undefined, {
analyte: "ldl",
});
expect(block?.recent).toHaveLength(1);
const ldl = block!.recent[0]!;
expect(ldl.analyte).toBe("LDL");
expect(ldl.value).toBe(128);
expect(ldl.history?.count).toBe(3);
expect(ldl.history?.firstTakenAt).toBe(daysAgo(730).toISOString());
});
});