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test(integration): pin soft-delete invisibility across analytics, dashboard, rollup tiers
Pins the v1.4.40 W-DELETED contract end-to-end against the real
Postgres testcontainer. Three contracts:
1. The slim summaries slice's narrow aggregate + DISTINCT ON latest
reads exclude tombstoned rows. Fixture parks a 99.0 sentinel
row that would explode min/max if leaked.
2. The dashboard summary route's per-type groupBy + latestIn7d
DISTINCT ON ignore the tombstone — the WEIGHT tile's
`latestValue` shows the live row, not the tombstoned 99.0.
3. `recomputeBucketsForMeasurement` produces a DAY bucket with
count=2 (not 3) when one of three same-day rows is soft-
deleted, and the bucket mean reflects the live two rows only.
Also pins the Coach snapshot's measurement read against the same
filter — tombstoned rows must never reach the AI prompt where they
would surface as live data the user thinks they removed.
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@@ -497,6 +497,7 @@ async function buildCoachSnapshotImpl(
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userId,
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type: { in: wantedTypes as never[] },
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measuredAt: { gte: cutoff },
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deletedAt: null,
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},
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orderBy: { measuredAt: "asc" },
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select: { type: true, value: true, measuredAt: true },
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@@ -0,0 +1,310 @@
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/**
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* v1.4.40 W-DELETED — soft-delete invisibility across every reader tier.
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*
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* `Measurement.deletedAt` was set by the iOS sync path but ignored by
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* every read path (Senior Infra+DB audit Critical Finding #3 in
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* `.planning/round-v1439-arch-qa-infra-db.md`). The moment iOS soft-
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* deleted its first reading, the tombstoned row would still contribute
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* to dashboards, analytics fan-outs, the rollup populator's count, and
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* the Coach snapshot the model grounds against.
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*
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* This test pins the tombstone-invisibility contract end-to-end against
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* the real Postgres testcontainer. Three tiers are covered:
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*
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* 1. **Analytics summaries slice** — the rollup-fresh path's narrow
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* aggregate + DISTINCT ON latest reads MUST exclude the soft-
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* deleted row. The slim slice runs the live aggregator on this
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* fixture (no rollup coverage yet) so the cold-fallback path is
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* exercised in the same call.
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*
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* 2. **Dashboard summary** — the per-type `groupBy` aggregate +
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* `latestIn7d` DISTINCT ON + streak-day raw SQL all need the
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* filter. The fixture parks one soft-deleted row inside the 7-day
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* window so the iOS Dashboard tile-strip can be checked for
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* tombstone leakage.
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*
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* 3. **Rollup recompute** — `recomputeBucketsForMeasurement` must
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* build the DAY bucket from live (non-deleted) rows only. The
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* fixture seeds three same-day rows, soft-deletes one, recomputes,
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* and asserts `count == 2` (not 3) on the resulting bucket.
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*/
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import { afterEach, beforeEach, describe, expect, it, vi } from "vitest";
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process.env.ENCRYPTION_KEY ??=
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"0123456789abcdef0123456789abcdef0123456789abcdef0123456789abcdef";
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import { recomputeBucketsForMeasurement } from "@/lib/measurements/rollups";
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import { cookieJar, headerJar } from "./mock-next-headers";
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import { getPrismaClient, truncateAllTables } from "./setup";
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vi.mock("next/headers", async () => {
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const { cookieJar, headerJar } = await import("./mock-next-headers");
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return {
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headers: vi.fn(async () => ({
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get: (name: string) => headerJar.get(name.toLowerCase()) ?? null,
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})),
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cookies: vi.fn(async () => ({
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get: (name: string) => {
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const value = cookieJar.get(name);
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return value ? { name, value } : undefined;
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},
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set: (name: string, value: string) => {
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cookieJar.set(name, value);
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},
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delete: (name: string) => {
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cookieJar.delete(name);
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},
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})),
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};
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});
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vi.mock("@/lib/db-compat", () => ({
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ensureDbCompatibility: vi.fn().mockResolvedValue(undefined),
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}));
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beforeEach(async () => {
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await truncateAllTables(getPrismaClient());
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cookieJar.clear();
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headerJar.clear();
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});
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afterEach(() => {
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vi.restoreAllMocks();
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});
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async function seedSession(username: string) {
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const prisma = getPrismaClient();
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const user = await prisma.user.create({
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data: {
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username,
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email: `${username}@example.test`,
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role: "USER",
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},
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});
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const session = await prisma.session.create({
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data: {
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userId: user.id,
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expiresAt: new Date(Date.now() + 60_000),
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},
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});
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cookieJar.set("healthlog_session", session.id);
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return user;
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}
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describe("Measurement.deletedAt — tombstone invisibility (v1.4.40 W-DELETED)", () => {
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it("excludes soft-deleted measurements from the analytics summaries slice", async () => {
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const prisma = getPrismaClient();
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const user = await seedSession("soft-delete-analytics");
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// Three same-type WEIGHT readings; the middle one (value 99) is the
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// tombstone that must NOT contribute to count / min / max / mean.
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const now = new Date();
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const oneDayAgo = new Date(now.getTime() - 86_400_000);
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const twoDaysAgo = new Date(now.getTime() - 2 * 86_400_000);
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await prisma.measurement.createMany({
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data: [
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{
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userId: user.id,
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type: "WEIGHT",
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value: 80.0,
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unit: "kg",
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source: "MANUAL",
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measuredAt: twoDaysAgo,
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},
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{
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userId: user.id,
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type: "WEIGHT",
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// Out-of-band sentinel — the test fails loudly if this row
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// leaks into any aggregate (it would crash min/max + skew the
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// mean by a huge margin).
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value: 99.0,
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unit: "kg",
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source: "MANUAL",
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measuredAt: oneDayAgo,
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},
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{
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userId: user.id,
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type: "WEIGHT",
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value: 80.2,
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unit: "kg",
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source: "MANUAL",
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measuredAt: now,
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},
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],
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});
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// Tombstone the middle row.
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await prisma.measurement.updateMany({
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where: { userId: user.id, value: 99.0 },
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data: { deletedAt: new Date() },
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});
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const { GET } = await import("@/app/api/analytics/route");
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const response = await (
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GET as unknown as (req: Request) => Promise<Response>
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)(new Request("http://localhost/api/analytics?slice=summaries"));
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expect(response.status).toBe(200);
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const envelope = (await response.json()) as {
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data: {
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summaries: Record<
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string,
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{ count: number; latest: number | null; min: number | null; max: number | null; mean: number | null }
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>;
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};
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};
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const weight = envelope.data.summaries.WEIGHT;
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// The 99.0 sentinel must not contribute to any aggregate field.
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expect(weight.count).toBe(2);
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expect(weight.latest).toBeCloseTo(80.2, 2);
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expect(weight.min).toBeCloseTo(80.0, 2);
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expect(weight.max).toBeCloseTo(80.2, 2);
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expect(weight.mean).toBeCloseTo(80.1, 2);
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});
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it("excludes soft-deleted measurements from the dashboard summary", async () => {
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const prisma = getPrismaClient();
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const user = await seedSession("soft-delete-dashboard");
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const now = new Date();
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const sixHoursAgo = new Date(now.getTime() - 6 * 60 * 60 * 1000);
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const oneDayAgo = new Date(now.getTime() - 86_400_000);
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await prisma.measurement.createMany({
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data: [
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{
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userId: user.id,
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type: "WEIGHT",
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value: 80.0,
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unit: "kg",
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source: "MANUAL",
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measuredAt: oneDayAgo,
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},
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{
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userId: user.id,
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// Most-recent row by wall-clock — if the tombstone leaks the
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// tile's `latestValue` would surface 99.0 here.
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type: "WEIGHT",
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value: 99.0,
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unit: "kg",
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source: "MANUAL",
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measuredAt: sixHoursAgo,
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},
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],
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});
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await prisma.measurement.updateMany({
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where: { userId: user.id, value: 99.0 },
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data: { deletedAt: new Date() },
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});
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const { GET } = await import("@/app/api/dashboard/summary/route");
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const response = await (
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GET as unknown as (req: Request) => Promise<Response>
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)(new Request("http://localhost/api/dashboard/summary"));
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expect(response.status).toBe(200);
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const envelope = (await response.json()) as {
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data: {
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metrics: Array<{
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kind: string;
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latestValue: number | null;
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allTimeCount: number;
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}>;
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};
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};
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const weightTile = envelope.data.metrics.find((m) => m.kind === "weight");
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expect(weightTile).toBeDefined();
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// Live row (80.0) is the only reading the tile sees; the 99.0
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// tombstone must not leak into the latest value or the all-time
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// count.
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expect(weightTile!.latestValue).toBeCloseTo(80.0, 2);
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expect(weightTile!.allTimeCount).toBe(1);
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});
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it("recomputeBucketsForMeasurement produces count=2 not 3 with one soft-deleted row", async () => {
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const prisma = getPrismaClient();
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const user = await seedSession("soft-delete-rollup");
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// Three readings inside the same UTC calendar day. The middle one
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// is tombstoned; the resulting DAY bucket must reflect only two
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// live readings.
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const noonUtc = new Date(
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Date.UTC(
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new Date().getUTCFullYear(),
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new Date().getUTCMonth(),
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new Date().getUTCDate(),
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12,
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0,
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0,
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),
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);
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const elevenUtc = new Date(noonUtc.getTime() - 60 * 60 * 1000);
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const thirteenUtc = new Date(noonUtc.getTime() + 60 * 60 * 1000);
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await prisma.measurement.createMany({
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data: [
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{
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userId: user.id,
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type: "WEIGHT",
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value: 80.0,
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unit: "kg",
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source: "MANUAL",
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measuredAt: elevenUtc,
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},
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{
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userId: user.id,
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type: "WEIGHT",
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value: 99.0,
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unit: "kg",
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source: "MANUAL",
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measuredAt: noonUtc,
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},
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{
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userId: user.id,
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type: "WEIGHT",
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value: 80.4,
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unit: "kg",
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source: "MANUAL",
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measuredAt: thirteenUtc,
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},
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],
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});
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await prisma.measurement.updateMany({
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where: { userId: user.id, value: 99.0 },
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data: { deletedAt: new Date() },
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});
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await recomputeBucketsForMeasurement(user.id, "WEIGHT", noonUtc);
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const dayStartUtc = new Date(
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Date.UTC(
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noonUtc.getUTCFullYear(),
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noonUtc.getUTCMonth(),
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noonUtc.getUTCDate(),
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),
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);
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const bucket = await prisma.measurementRollup.findUnique({
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where: {
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userId_type_granularity_bucketStart: {
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userId: user.id,
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type: "WEIGHT",
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granularity: "DAY",
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bucketStart: dayStartUtc,
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},
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},
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});
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expect(bucket).not.toBeNull();
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expect(bucket!.count).toBe(2);
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// Mean over the two live rows = (80.0 + 80.4) / 2 = 80.2. If the
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// tombstone leaked the mean would land at ~86.5 — the assertion
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// fails loudly.
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expect(bucket!.mean).toBeCloseTo(80.2, 2);
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expect(bucket!.minValue).toBeCloseTo(80.0, 2);
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expect(bucket!.maxValue).toBeCloseTo(80.4, 2);
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});
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});
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