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fix(measurements): rework dense intra-day fold to coexist with the canonical daily row
The dense intra-day retention fold minted its daily-mean stats: row with an externalId-keyed upsert. On real data a row already occupies the canonical local-noon instant — a sibling daily stats: row or a per-sample HRV/PULSE reading that fell on noon — so the upsert lookup missed (the existing row carries a different externalId) and the INSERT then violated the (user_id, type, measured_at, source, sleep_stage) unique index with P2002. The mocked unit tests could not surface it. Resolve the canonical row by the measured_at composite the collision is on (sleep_stage IS NULL for these continuous types, matched via the NULLS NOT DISTINCT index) and adopt it in place — refresh the mean, stamp the canonical stats: externalId, un-tombstone — or create it when absent. Exclude the adopted row id from the per-sample soft-delete so a noon-instant sample becomes the daily row instead of being tombstoned. Add a testcontainer integration test that seeds the colliding shape (a pre-existing canonical-instant row plus out-of-window per-sample rows) and pins no-P2002, coexistence, the noon-sample case, idempotency, and the retention bound. Update the unit coverage for the adopt-in-place path.
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@@ -35,14 +35,26 @@ function row(
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return { id, type, value, measuredAt: new Date(iso), externalId, unit };
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}
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function buildPrismaMock(rowsByType: Record<string, unknown[]>) {
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const upsert = vi.fn().mockResolvedValue({});
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function buildPrismaMock(
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rowsByType: Record<string, unknown[]>,
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// When set, the canonical-row lookup inside `writeDay` resolves to this
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// existing row id — simulating a daily row already sitting on the
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// canonical local-noon instant (the P2002 coexistence case).
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existingCanonicalId: string | null = null,
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) {
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const create = vi.fn().mockResolvedValue({ id: "minted-daily" });
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const update = vi.fn().mockResolvedValue({});
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const findFirst = vi
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.fn()
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.mockResolvedValue(
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existingCanonicalId ? { id: existingCanonicalId } : null,
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);
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const updateMany = vi.fn().mockResolvedValue({ count: 0 });
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const findManyMeasurement = vi.fn(
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async (args: { where: { type: string } }) =>
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rowsByType[args.where.type] ?? [],
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);
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const tx = { measurement: { upsert, updateMany } };
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const tx = { measurement: { create, update, findFirst, updateMany } };
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return {
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mock: {
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user: {
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@@ -55,7 +67,9 @@ function buildPrismaMock(rowsByType: Record<string, unknown[]>) {
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cb(tx),
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),
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} as unknown as PrismaClient,
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upsert,
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create,
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update,
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findFirst,
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updateMany,
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findManyMeasurement,
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};
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@@ -119,13 +133,13 @@ describe("runDenseIntradayRetention — retention bound", () => {
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});
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describe("runDenseIntradayRetention — fold flow", () => {
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it("upserts the day MEAN and soft-deletes the out-of-window rows", async () => {
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it("creates the day MEAN and soft-deletes the out-of-window rows when no canonical row exists", async () => {
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// Two HRV samples on an out-of-window day.
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const hrvRows = [
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row("a", 40, "2026-05-01T08:00:00.000Z", "HEART_RATE_VARIABILITY"),
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row("b", 60, "2026-05-01T09:00:00.000Z", "HEART_RATE_VARIABILITY"),
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];
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const { mock, upsert, updateMany } = buildPrismaMock({
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const { mock, create, update, updateMany } = buildPrismaMock({
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HEART_RATE_VARIABILITY: hrvRows,
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});
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@@ -134,13 +148,15 @@ describe("runDenseIntradayRetention — fold flow", () => {
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log: () => {},
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});
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const upsertArg = upsert.mock.calls[0]?.[0] as {
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create: { value: number; source: string; type: string };
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// No pre-existing canonical row → create, not update.
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expect(update).not.toHaveBeenCalled();
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const createArg = create.mock.calls[0]?.[0] as {
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data: { value: number; source: string; type: string };
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};
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// value is the MEAN (50), not the sum (100).
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expect(upsertArg.create.value).toBeCloseTo(50, 6);
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expect(upsertArg.create.source).toBe("APPLE_HEALTH");
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expect(upsertArg.create.type).toBe("HEART_RATE_VARIABILITY");
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expect(createArg.data.value).toBeCloseTo(50, 6);
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expect(createArg.data.source).toBe("APPLE_HEALTH");
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expect(createArg.data.type).toBe("HEART_RATE_VARIABILITY");
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// soft-delete, never hard delete.
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const updArg = updateMany.mock.calls[0]?.[0] as {
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@@ -151,8 +167,41 @@ describe("runDenseIntradayRetention — fold flow", () => {
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expect(recomputeBucketsForMeasurement).toHaveBeenCalledTimes(1);
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});
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it("adopts an existing canonical row in place instead of colliding (P2002 coexistence)", async () => {
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const hrvRows = [
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row("a", 40, "2026-05-01T08:00:00.000Z", "HEART_RATE_VARIABILITY"),
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row("b", 60, "2026-05-01T09:00:00.000Z", "HEART_RATE_VARIABILITY"),
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];
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// A daily row already sits on the canonical local-noon instant.
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const { mock, create, update, updateMany } = buildPrismaMock(
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{ HEART_RATE_VARIABILITY: hrvRows },
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"existing-canonical-row",
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);
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await runDenseIntradayRetention(mock, { retentionDays: 0, log: () => {} });
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// The fold adopts the existing row in place — no create (which would
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// collide on the measured_at unique index), an update with the stats
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// externalId + refreshed mean.
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expect(create).not.toHaveBeenCalled();
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const updateArg = update.mock.calls[0]?.[0] as {
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where: { id: string };
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data: { value: number; externalId: string; deletedAt: null };
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};
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expect(updateArg.where.id).toBe("existing-canonical-row");
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expect(updateArg.data.value).toBeCloseTo(50, 6);
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expect(updateArg.data.externalId.startsWith("stats:")).toBe(true);
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expect(updateArg.data.deletedAt).toBeNull();
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// The soft-delete excludes the adopted canonical row id.
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const updManyArg = updateMany.mock.calls[0]?.[0] as {
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where: { id: { not: string } };
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};
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expect(updManyArg.where.id.not).toBe("existing-canonical-row");
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});
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it("does not write on a dry-run", async () => {
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const { mock, upsert } = buildPrismaMock({
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const { mock, create, update } = buildPrismaMock({
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HEART_RATE_VARIABILITY: [
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row("a", 40, "2026-05-01T08:00:00.000Z", "HEART_RATE_VARIABILITY"),
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],
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@@ -162,7 +211,8 @@ describe("runDenseIntradayRetention — fold flow", () => {
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dryRun: true,
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log: () => {},
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});
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expect(upsert).not.toHaveBeenCalled();
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expect(create).not.toHaveBeenCalled();
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expect(update).not.toHaveBeenCalled();
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expect(recomputeBucketsForMeasurement).not.toHaveBeenCalled();
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});
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});
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@@ -183,41 +183,81 @@ export async function runDenseIntradayRetention(
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const unit = dayRows[0]?.unit ?? "unknown";
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let removed = 0;
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await pc.$transaction(async (tx) => {
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// Mint / refresh the canonical daily-mean row first. The unique
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// index (userId, type, source, externalId) makes the upsert
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// idempotent across re-runs. Built field-by-field (no spread) per
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// the no-mass-assignment convention.
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await tx.measurement.upsert({
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// Fold the day to one canonical daily-mean row at local-noon.
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//
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// Unlike `consolidate-daily-mean` (whose types never share the
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// canonical local-noon instant with another path), the dense-tier
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// types HRV / PULSE are dense enough that a per-sample row can land
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// exactly on the canonical timestamp, and a previously-minted daily
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// row can already occupy it. An externalId-keyed upsert misses the
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// lookup (the colliding row carries a different externalId) and the
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// INSERT then violates the OTHER unique index
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// `(userId, type, measuredAt, source, sleepStage)` with P2002.
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//
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// The canonical daily row is identified by BOTH unique keys at once:
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// its measuredAt is always `canonicalTimestamp` (local-noon) and its
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// externalId is always the `stats:` id, so the two indexes point at
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// the same logical row. Resolve the row by the measured_at composite
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// — the one the collision is on (`sleepStage` is NULL for these
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// continuous types, matched via the NULLS-NOT-DISTINCT index) — and
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// either adopt it in place or create it. Built field-by-field (no
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// spread) per the no-mass-assignment convention.
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const existing = await tx.measurement.findFirst({
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where: {
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userId_type_source_externalId: {
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userId,
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type,
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source: "APPLE_HEALTH",
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externalId,
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},
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},
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create: {
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userId,
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type,
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value: reducedValue,
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unit,
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source: "APPLE_HEALTH",
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measuredAt: canonicalTimestamp,
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externalId,
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},
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update: {
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value: reducedValue,
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measuredAt: canonicalTimestamp,
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deletedAt: null,
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sleepStage: null,
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},
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select: { id: true },
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});
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let canonicalRowId: string;
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if (existing) {
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// Adopt the row already sitting on the canonical instant: refresh
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// its value, stamp the `stats:` externalId, and un-tombstone it.
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// This coexists with a pre-existing daily row (a prior fold, a
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// manual daily entry, or a per-sample row that happened at local
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// noon) instead of colliding with it.
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await tx.measurement.update({
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where: { id: existing.id },
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data: {
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value: reducedValue,
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unit,
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externalId,
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deletedAt: null,
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},
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});
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canonicalRowId = existing.id;
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} else {
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const created = await tx.measurement.create({
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data: {
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userId,
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type,
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value: reducedValue,
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unit,
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source: "APPLE_HEALTH",
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measuredAt: canonicalTimestamp,
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externalId,
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},
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select: { id: true },
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});
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canonicalRowId = created.id;
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}
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// Soft-delete the out-of-window per-sample rows in the same
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// transaction — tombstone, never hard-delete; they remain as an
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// audit trail and drop off the live read + this pass's re-run
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// discovery.
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// discovery. EXCLUDE the canonical row itself: a per-sample row that
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// happened to fall on the canonical local-noon instant is the row we
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// just adopted as the daily mean, so tombstoning it would erase the
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// fold.
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const del = await tx.measurement.updateMany({
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where: { id: { in: sourceRowIds }, deletedAt: null },
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where: {
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id: { in: sourceRowIds, not: canonicalRowId },
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deletedAt: null,
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},
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data: { deletedAt: new Date() },
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});
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removed = del.count;
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