e81d07975a
- normalize.ts num(): parseFloat truncated at the first comma, so "1,200" silently became 1 (1000x error) and "5,5" became 5. Now strictly matches either US thousands-grouping or a plain number spanning the whole string; anything else (incl. ambiguous "5,5") returns null instead of a wrong value. - labs.ts confirm handler: the pending-status check ran before the request body was read, so two concurrent confirms could both pass it and double-insert. Added a guarded UPDATE ... WHERE status = 'pending' as the first statement inside the existing synchronous transaction; zero rows affected throws and the route returns 409, with the fast-path check kept for the common case. - Added missing `await` on two rejects.toThrow assertions (llm.test.ts, extract.test.ts) that were previously resolving before the assertion settled. - Bumped the 11th-failed-login rate-limit test to a 30s timeout — 10 sequential argon2id verifies can exceed bun:test's 5s default under load.
47 lines
2.0 KiB
TypeScript
47 lines
2.0 KiB
TypeScript
import { describe, expect, test } from "bun:test";
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import { mkdtempSync } from "node:fs";
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import { tmpdir } from "node:os";
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import { join } from "node:path";
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import { openDb } from "../src/db";
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import { loadOrCreateKey } from "../src/lib/crypto";
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import { extractFromText } from "../src/lib/extract";
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const FIXTURE_TEXT = `
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Sample Diagnostics — Final Report
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Collected: 15 Jan 2026
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CHEMISTRY
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Glucose (Fasting) 100 mg/dL (70-99) H
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LIPIDS
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LDL Cholesterol 3.1 mmol/L (<3.4)
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`;
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describe("extractFromText", () => {
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test("passes text to LLM and validates the draft shape", async () => {
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let userPrompt = "";
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const mock = (async (_: any, init: any) => {
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userPrompt = JSON.parse(String(init.body)).messages[1].content;
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return new Response(JSON.stringify({ choices: [{ message: { content: JSON.stringify({
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collectedDate: "2026-01-15",
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labName: "Sample Diagnostics",
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markers: [
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{ panel: "chemistry", name: "Glucose (Fasting)", value: "100", unit: "mg/dL", referenceRange: "70-99", flagged: true },
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{ panel: "lipids", name: "LDL Cholesterol", value: "3.1", unit: "mmol/L", referenceRange: "<3.4", flagged: false },
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],
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}) } }] }), { status: 200 });
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}) as typeof fetch;
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const dir = mkdtempSync(join(tmpdir(), "helios-"));
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const draft = await extractFromText({ db: openDb(dir), key: loadOrCreateKey(dir), fetchImpl: mock }, FIXTURE_TEXT);
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expect(userPrompt).toContain("Glucose (Fasting)");
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expect(draft.markers).toHaveLength(2);
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expect(draft.collectedDate).toBe("2026-01-15");
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expect(draft.markers[0].flagged).toBe(true);
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});
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test("malformed LLM output → llm_error, not a crash", async () => {
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const mock = (async () => new Response(JSON.stringify({ choices: [{ message: { content: '{"markers": "not an array"}' } }] }), { status: 200 })) as unknown as typeof fetch;
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const dir = mkdtempSync(join(tmpdir(), "helios-"));
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await expect(extractFromText({ db: openDb(dir), key: loadOrCreateKey(dir), fetchImpl: mock }, "x")).rejects.toThrow(/llm_error/);
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});
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});
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