feat(labs): draw list/detail, marker history, PDF file serving

server/test/labs-query.test.ts

@@ -0,0 +1,55 @@
+import { describe, expect, test } from "bun:test";
+import { mkdtempSync } from "node:fs";
+import { tmpdir } from "node:os";
+import { join } from "node:path";
+import { createApp } from "../src/app";
+import { openDb } from "../src/db";
+import { biomarkers, labDraws } from "../src/db/schema";
+import { loadOrCreateKey } from "../src/lib/crypto";
+
+async function seeded() {
+  const dir = mkdtempSync(join(tmpdir(), "helios-"));
+  const db = openDb(dir);
+  const app = createApp({ db, key: loadOrCreateKey(dir), dataDir: dir });
+  const j = (b: unknown) => ({ method: "POST", headers: { "content-type": "application/json" }, body: JSON.stringify(b) });
+  await app.request("/api/setup", j({ password: "hunter2hunter2" }));
+  const cookie = (await app.request("/api/login", j({ password: "hunter2hunter2" }))).headers.get("set-cookie")!;
+
+  await db.insert(labDraws).values([
+    { id: "d1", collectedAt: "2025-06-01", labName: "A", draftId: null, createdAt: 1 },
+    { id: "d2", collectedAt: "2026-01-15", labName: "B", draftId: null, createdAt: 2 },
+  ]);
+  await db.insert(biomarkers).values([
+    { drawId: "d1", panel: "metabolic", name: "Glucose", marker: "glucose", analyteKey: "glucose", value: "90", valueNum: 90, unit: "mg/dL", referenceRange: null, flagged: 0, valueCanonical: 4.996, canonicalUnit: "mmol/L" },
+    { drawId: "d2", panel: "metabolic", name: "Glucose", marker: "glucose", analyteKey: "glucose", value: "100", valueNum: 100, unit: "mg/dL", referenceRange: "70-99", flagged: 1, valueCanonical: 5.551, canonicalUnit: "mmol/L" },
+    { drawId: "d2", panel: "lipids", name: "LDL Cholesterol", marker: "ldl", analyteKey: "ldl", value: "3.1", valueNum: 3.1, unit: "mmol/L", referenceRange: "<3.4", flagged: 0, valueCanonical: 3.1, canonicalUnit: "mmol/L" },
+  ]);
+  return { app, cookie };
+}
+
+describe("labs queries", () => {
+  test("draw list newest first with counts", async () => {
+    const { app, cookie } = await seeded();
+    const { draws } = await (await app.request("/api/labs/draws", { headers: { cookie } })).json();
+    expect(draws.map((d: any) => d.id)).toEqual(["d2", "d1"]);
+    expect(draws[0].markerCount).toBe(2);
+    expect(draws[0].flaggedCount).toBe(1);
+  });
+
+  test("draw detail grouped by panel", async () => {
+    const { app, cookie } = await seeded();
+    const detail = await (await app.request("/api/labs/draws/d2", { headers: { cookie } })).json();
+    expect(detail.panels.map((p: any) => p.panel)).toEqual(["lipids", "metabolic"]);
+    expect(detail.panels[1].markers[0].flagged).toBe(true);
+    expect((await app.request("/api/labs/draws/nope", { headers: { cookie } })).status).toBe(404);
+  });
+
+  test("marker history ascending with registry metadata", async () => {
+    const { app, cookie } = await seeded();
+    const h = await (await app.request("/api/labs/markers/glucose/history", { headers: { cookie } })).json();
+    expect(h.display).toBe("Glucose");
+    expect(h.canonicalUnit).toBe("mmol/L");
+    expect(h.points.map((p: any) => p.value)).toEqual([4.996, 5.551]);
+    expect((await app.request("/api/labs/markers/unknown_thing/history", { headers: { cookie } })).status).toBe(404);
+  });
+});