mirror of
https://github.com/MBombeck/HealthLog.git
synced 2026-11-14 06:40:50 +00:00
The administration set was windowed only to the report period (up to 730 days). A chronic medication dosed several times a day across that window, multiplied across several medications, can still materialise thousands of MedicationAdministration resources into a single Bundle — bounded by the window but unbounded by dose frequency. Cap the set at the most-recent 1000 acted intakes overall. The omitted rows are the oldest in the window, so recent adherence is preserved intact. When the cap trims rows the aggregator records the original and included counts and the FHIR document narrative discloses the truncation, so the export is honest about the omitted history rather than silently dropping it. Cover the cap in the report aggregator and the narrative note in the bundle builder. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> (cherry picked from commit c6ce7df2bf6efb5e2c9d948d8f189d95d1289758)
298 lines
9.1 KiB
TypeScript
298 lines
9.1 KiB
TypeScript
/**
|
|
* v1.4.25 W6c — per-section toggle integration tests.
|
|
*
|
|
* Asserts the privacy-by-default contract for mood data: when the user
|
|
* submits `sections.mood = false`, the generated PDF MUST NOT contain
|
|
* any mood-related text, and the aggregator MUST NOT have fetched the
|
|
* underlying `MoodEntry` rows in the first place.
|
|
*
|
|
* Also asserts the "skip section when toggle off" contract for the
|
|
* non-privacy-sensitive sections (BP / weight / pulse / compliance) so
|
|
* the dialog's toggles produce the expected printed artefact.
|
|
*/
|
|
import { afterEach, beforeEach, describe, expect, it, vi } from "vitest";
|
|
|
|
process.env.ENCRYPTION_KEY ??=
|
|
"0123456789abcdef0123456789abcdef0123456789abcdef0123456789abcdef";
|
|
|
|
import { collectDoctorReportData } from "@/lib/doctor-report-data";
|
|
import { renderDoctorReportPdfBytes } from "@/lib/doctor-report-pdf-core";
|
|
import { getServerTranslator } from "@/lib/i18n/server-translator";
|
|
|
|
import { cookieJar, headerJar } from "./mock-next-headers";
|
|
import { getPrismaClient, truncateAllTables } from "./setup";
|
|
|
|
vi.mock("next/headers", async () => {
|
|
const { cookieJar, headerJar } = await import("./mock-next-headers");
|
|
return {
|
|
headers: vi.fn(async () => ({
|
|
get: (name: string) => headerJar.get(name.toLowerCase()) ?? null,
|
|
})),
|
|
cookies: vi.fn(async () => ({
|
|
get: (name: string) => {
|
|
const value = cookieJar.get(name);
|
|
return value ? { name, value } : undefined;
|
|
},
|
|
set: (name: string, value: string) => {
|
|
cookieJar.set(name, value);
|
|
},
|
|
delete: (name: string) => {
|
|
cookieJar.delete(name);
|
|
},
|
|
})),
|
|
};
|
|
});
|
|
|
|
vi.mock("@/lib/db-compat", () => ({
|
|
ensureDbCompatibility: vi.fn().mockResolvedValue(undefined),
|
|
}));
|
|
|
|
beforeEach(async () => {
|
|
await truncateAllTables(getPrismaClient());
|
|
cookieJar.clear();
|
|
headerJar.clear();
|
|
});
|
|
|
|
afterEach(() => {
|
|
vi.restoreAllMocks();
|
|
});
|
|
|
|
const RANGE = {
|
|
start: new Date("2026-01-01T00:00:00.000Z"),
|
|
end: new Date("2026-05-01T00:00:00.000Z"),
|
|
days: 120,
|
|
};
|
|
|
|
/**
|
|
* Seed a user plus one row of every measurement type the toggles
|
|
* gate. Returns the user id for the test to thread into the aggregator
|
|
* and PDF renderer.
|
|
*/
|
|
async function seedUserWithEveryDataType(username: string): Promise<string> {
|
|
const prisma = getPrismaClient();
|
|
const user = await prisma.user.create({
|
|
data: {
|
|
username,
|
|
email: `${username}@example.test`,
|
|
heightCm: 180,
|
|
},
|
|
});
|
|
const measuredAt = new Date("2026-03-01T08:00:00.000Z");
|
|
|
|
await prisma.measurement.createMany({
|
|
data: [
|
|
{
|
|
userId: user.id,
|
|
type: "WEIGHT",
|
|
value: 82.5,
|
|
unit: "kg",
|
|
measuredAt,
|
|
},
|
|
{
|
|
userId: user.id,
|
|
type: "BLOOD_PRESSURE_SYS",
|
|
value: 128,
|
|
unit: "mmHg",
|
|
measuredAt,
|
|
},
|
|
{
|
|
userId: user.id,
|
|
type: "BLOOD_PRESSURE_DIA",
|
|
value: 82,
|
|
unit: "mmHg",
|
|
measuredAt,
|
|
},
|
|
{
|
|
userId: user.id,
|
|
type: "PULSE",
|
|
value: 65,
|
|
unit: "bpm",
|
|
measuredAt,
|
|
},
|
|
],
|
|
});
|
|
|
|
await prisma.moodEntry.create({
|
|
data: {
|
|
userId: user.id,
|
|
score: 4,
|
|
mood: "GUT",
|
|
moodLoggedAt: measuredAt,
|
|
date: "2026-03-01",
|
|
},
|
|
});
|
|
|
|
// Medication compliance — one taken intake event.
|
|
const med = await prisma.medication.create({
|
|
data: {
|
|
userId: user.id,
|
|
name: "Metformin",
|
|
dose: "500 mg",
|
|
active: true,
|
|
},
|
|
});
|
|
await prisma.medicationIntakeEvent.create({
|
|
data: {
|
|
userId: user.id,
|
|
medicationId: med.id,
|
|
scheduledFor: measuredAt,
|
|
takenAt: measuredAt,
|
|
},
|
|
});
|
|
|
|
return user.id;
|
|
}
|
|
|
|
/**
|
|
* Pull plain UTF-8 text out of the PDF byte stream. jsPDF's text
|
|
* operator stores the strings inline as `(...)` tokens, so a naive
|
|
* regex scan over the buffer is enough to assert presence/absence of a
|
|
* label — we don't need to actually decode the streams. False positives
|
|
* are tolerable because the assertions are negative ("doesn't contain
|
|
* `Stimmung`") and the strings are distinctive.
|
|
*/
|
|
function pdfContainsText(bytes: Uint8Array, needle: string): boolean {
|
|
const haystack = Buffer.from(bytes).toString("latin1");
|
|
return haystack.includes(needle);
|
|
}
|
|
|
|
describe("doctor-report — per-section toggles", () => {
|
|
it("drops mood data entirely when sections.mood = false", async () => {
|
|
const userId = await seedUserWithEveryDataType("dr-sections-mood-off");
|
|
|
|
const data = await collectDoctorReportData(userId, RANGE, {
|
|
sections: {
|
|
bp: true,
|
|
weight: true,
|
|
pulse: true,
|
|
bmi: true,
|
|
mood: false, // ← the privacy default
|
|
compliance: true,
|
|
sleep: true,
|
|
},
|
|
});
|
|
|
|
// The aggregator must NOT return mood data when the toggle is off.
|
|
// The contract: the data never leaves the DB row, so the JSON
|
|
// payload (this `data` object) is the canonical proof.
|
|
expect(data.mood).toBeNull();
|
|
|
|
// The PDF rendered from this data must not mention the German or
|
|
// English mood section header — both locales render against the
|
|
// same `data` payload so both must be clean.
|
|
const { t: tDe } = getServerTranslator("de");
|
|
const { t: tEn } = getServerTranslator("en");
|
|
const pdfDe = renderDoctorReportPdfBytes(data, { t: tDe, locale: "de" });
|
|
const pdfEn = renderDoctorReportPdfBytes(data, { t: tEn, locale: "en" });
|
|
|
|
expect(pdfContainsText(pdfDe, "Stimmung")).toBe(false);
|
|
expect(pdfContainsText(pdfEn, "Mood")).toBe(false);
|
|
});
|
|
|
|
it("includes mood data when sections.mood = true (opt-in)", async () => {
|
|
const userId = await seedUserWithEveryDataType("dr-sections-mood-on");
|
|
|
|
const data = await collectDoctorReportData(userId, RANGE, {
|
|
sections: { mood: true },
|
|
});
|
|
|
|
expect(data.mood).not.toBeNull();
|
|
expect(data.mood?.count).toBe(1);
|
|
});
|
|
|
|
it("strips BP / weight / pulse / compliance when their toggles are off", async () => {
|
|
const userId = await seedUserWithEveryDataType("dr-sections-others-off");
|
|
|
|
const data = await collectDoctorReportData(userId, RANGE, {
|
|
sections: {
|
|
bp: false,
|
|
weight: false,
|
|
pulse: false,
|
|
bmi: false,
|
|
mood: false,
|
|
compliance: false,
|
|
sleep: false,
|
|
},
|
|
});
|
|
|
|
expect(data.stats.BLOOD_PRESSURE_SYS).toBeUndefined();
|
|
expect(data.stats.BLOOD_PRESSURE_DIA).toBeUndefined();
|
|
expect(data.stats.WEIGHT).toBeUndefined();
|
|
expect(data.stats.PULSE).toBeUndefined();
|
|
expect(data.compliance).toEqual({});
|
|
expect(data.bmi).toBeNull();
|
|
expect(data.mood).toBeNull();
|
|
});
|
|
|
|
it("applies documented defaults when sections is omitted (mood OFF, others ON)", async () => {
|
|
const userId = await seedUserWithEveryDataType("dr-sections-defaults");
|
|
|
|
const data = await collectDoctorReportData(userId, RANGE);
|
|
|
|
// Privacy default per Marc — mood is opt-in, not opt-out.
|
|
expect(data.mood).toBeNull();
|
|
// Every other section keeps its data.
|
|
expect(data.stats.WEIGHT).toBeDefined();
|
|
expect(data.stats.BLOOD_PRESSURE_SYS).toBeDefined();
|
|
expect(data.stats.PULSE).toBeDefined();
|
|
expect(data.bmi).not.toBeNull();
|
|
expect(Object.keys(data.compliance).length).toBeGreaterThan(0);
|
|
});
|
|
});
|
|
|
|
describe("doctor-report — MedicationAdministration export cap", () => {
|
|
it("caps the administration set at 1000 most-recent rows and flags the truncation", async () => {
|
|
const prisma = getPrismaClient();
|
|
const user = await prisma.user.create({
|
|
data: {
|
|
username: "dr-admin-cap",
|
|
email: "dr-admin-cap@example.test",
|
|
heightCm: 180,
|
|
},
|
|
});
|
|
const med = await prisma.medication.create({
|
|
data: { userId: user.id, name: "Metformin", dose: "500 mg", active: true },
|
|
});
|
|
|
|
// 1001 acted (taken) intakes spread across the window so the cap
|
|
// must trim exactly one — the OLDEST — keeping the most-recent 1000.
|
|
const rangeMs = RANGE.end.getTime() - RANGE.start.getTime();
|
|
const rows = Array.from({ length: 1001 }, (_, i) => {
|
|
const at = new Date(
|
|
RANGE.start.getTime() + Math.floor((rangeMs * i) / 1001),
|
|
);
|
|
return {
|
|
userId: user.id,
|
|
medicationId: med.id,
|
|
scheduledFor: at,
|
|
takenAt: at,
|
|
};
|
|
});
|
|
await prisma.medicationIntakeEvent.createMany({ data: rows });
|
|
|
|
const data = await collectDoctorReportData(user.id, RANGE);
|
|
|
|
expect(data.medicationAdministrations).toBeDefined();
|
|
expect(data.medicationAdministrations?.length).toBe(1000);
|
|
expect(data.medicationAdministrationsTruncation).toEqual({
|
|
total: 1001,
|
|
included: 1000,
|
|
});
|
|
// The OLDEST row was dropped — the earliest surviving administration
|
|
// is strictly after the window start.
|
|
const first = data.medicationAdministrations?.[0];
|
|
expect(new Date(first!.effectiveAt).getTime()).toBeGreaterThan(
|
|
RANGE.start.getTime(),
|
|
);
|
|
});
|
|
|
|
it("leaves the set untouched (no truncation flag) below the cap", async () => {
|
|
const userId = await seedUserWithEveryDataType("dr-admin-no-cap");
|
|
|
|
const data = await collectDoctorReportData(userId, RANGE);
|
|
|
|
expect(data.medicationAdministrations?.length).toBe(1);
|
|
expect(data.medicationAdministrationsTruncation ?? null).toBeNull();
|
|
});
|
|
});
|