Files
HealthLog/src/lib/ai/__tests__/citation-coverage-logging.test.ts
T
Marc-André Bombeck 4e777a7e6a refactor(ai): take a structured message array instead of a string pair
Replace the CompletionParams { systemPrompt, userPrompt } string pair with a
structured { system, messages[] } request across all five AI clients. One
refactor unlocks three things: provider prompt-caching (Anthropic cache_control
on the stable system prefix, OpenAI/Codex automatic prefix cache, with
cachedInputTokens surfaced for observability), the tool-calling wire surface,
and clean multi-turn.

Each client maps the new shape to its own wire and degrades unsupported
features silently: the local OpenAI-compatible server never receives a tools
field (most reject unknown keys), and prompt-caching is best-effort everywhere.
CompletionResult gains toolCalls, finishReason and cachedInputTokens; the tool
types and per-provider mapping ship now, the tool-use loop does not.

Vision inputs fold into the user turn's content parts via singleUserTurn, with
each provider's pre-existing block ordering preserved. The corrective-retry
paths append to the last user message rather than a flat string. The Coach
keeps assembling one user turn so its snapshot-once and grounding behaviour is
unchanged. No wire schema visible to API consumers changed.

Behaviour is unchanged across every surface; the full suite stays green.
2026-06-22 07:17:10 +02:00

333 lines
10 KiB
TypeScript

import { describe, it, expect, beforeEach, vi } from "vitest";
import { generateInsight } from "../generate-insight";
import { MockAIProvider } from "../mock-client";
import { singleUserTurn } from "../types";
import {
detectsNormativeClaim,
computeCitationCoverage,
} from "../citation-coverage";
import { MEDICAL_REFERENCES } from "../medical-references";
const annotateMock = vi.fn();
vi.mock("@/lib/logging/context", () => ({
annotate: (fields: { meta?: Record<string, unknown> }) =>
annotateMock(fields),
getEvent: () => null,
}));
const knownRefId = MEDICAL_REFERENCES[0].id;
const baseMetricSource = {
type: "bloodPressure",
timeRange: "last7days",
summary: "avg 138/86 across 9 readings",
};
const baseCitation = {
type: "bloodPressure",
timeRange: "last7days",
summary: "avg 138/86 across 9 readings",
};
const baseRationale = {
dataWindow: "last7days" as const,
comparedTo: "your 90-day median (128/82)",
deviation: "+10/+4 mmHg above baseline",
};
/**
* v1.4.16 phase B5a — citation-coverage post-validation logging.
*
* After the schema parse + cross-citation check pass, the wrapper
* counts how many recommendations make a normative claim and how
* many of those carry a referenceId. The result lands as a Wide-Event
* meta annotation so the admin AI quality dashboard (planned) can
* track citation-coverage over time.
*
* The check is observational only in v1.4.16 — a rec that should cite
* but doesn't gets logged, never raises a parse error. v1.4.16 phase
* B5c flips it to required for severity >= "important".
*/
describe("detectsNormativeClaim()", () => {
it("detects 'target' in the rec text", () => {
expect(detectsNormativeClaim("Aim for a BP target below 130/80")).toBe(
true,
);
});
it("detects 'should' in the rec text", () => {
expect(detectsNormativeClaim("Your BP should stay below 140/90")).toBe(
true,
);
});
it("detects 'normal range' in the rec text", () => {
expect(detectsNormativeClaim("Pulse is within the normal range")).toBe(
true,
);
});
it("detects 'above' in the rec text", () => {
expect(
detectsNormativeClaim("Reading is above the recommended ceiling"),
).toBe(true);
});
it("detects 'below' in the rec text", () => {
expect(detectsNormativeClaim("Reading is below the lower threshold")).toBe(
true,
);
});
it("returns false for purely observational text", () => {
expect(
detectsNormativeClaim(
"Your avg7 (78 bpm) is 5 bpm higher than your 90-day median (73 bpm)",
),
).toBe(false);
});
it("is case-insensitive", () => {
expect(detectsNormativeClaim("TARGET range exceeded")).toBe(true);
expect(detectsNormativeClaim("Target range exceeded")).toBe(true);
expect(detectsNormativeClaim("target range exceeded")).toBe(true);
});
});
describe("computeCitationCoverage()", () => {
it("counts an empty recommendations[] as zero / zero", () => {
expect(
computeCitationCoverage({
summary: "x",
recommendations: [],
citations: [],
warnings: [],
}),
).toEqual({
totalRecommendations: 0,
normativeRecommendations: 0,
citedNormativeRecommendations: 0,
uncitedNormativeRecommendationIds: [],
});
});
it("counts a normative rec with referenceId as cited", () => {
const result = computeCitationCoverage({
summary: "x",
recommendations: [
{
id: "rec-1",
text: "Aim for a target below 140/90",
severity: "important",
metricSource: baseMetricSource,
rationale: baseRationale,
referenceId: knownRefId,
},
],
citations: [baseCitation],
warnings: [],
});
expect(result.totalRecommendations).toBe(1);
expect(result.normativeRecommendations).toBe(1);
expect(result.citedNormativeRecommendations).toBe(1);
expect(result.uncitedNormativeRecommendationIds).toEqual([]);
});
it("flags a normative rec without referenceId as uncited", () => {
const result = computeCitationCoverage({
summary: "x",
recommendations: [
{
id: "rec-naked-target",
text: "Aim for a target below 140/90",
severity: "important",
metricSource: baseMetricSource,
rationale: baseRationale,
},
],
citations: [baseCitation],
warnings: [],
});
expect(result.normativeRecommendations).toBe(1);
expect(result.citedNormativeRecommendations).toBe(0);
expect(result.uncitedNormativeRecommendationIds).toEqual([
"rec-naked-target",
]);
});
it("does NOT flag observational recs as uncited", () => {
const result = computeCitationCoverage({
summary: "x",
recommendations: [
{
id: "rec-observational",
text: "Your avg7 (78 bpm) is 5 bpm higher than your 90-day median",
severity: "info",
metricSource: baseMetricSource,
rationale: baseRationale,
},
],
citations: [baseCitation],
warnings: [],
});
expect(result.normativeRecommendations).toBe(0);
expect(result.citedNormativeRecommendations).toBe(0);
expect(result.uncitedNormativeRecommendationIds).toEqual([]);
});
it("flags 'above' / 'below' as normative — they imply a threshold", () => {
// The heuristic intentionally treats "5 mmHg above your 90-day
// median" as a normative claim because the comparison invokes a
// baseline threshold; the rec should cite the source of that
// baseline (or be reworded to drop the threshold language).
const result = computeCitationCoverage({
summary: "x",
recommendations: [
{
id: "rec-threshold",
text: "Your avg7 is 5 mmHg above your 90-day median",
severity: "info",
metricSource: baseMetricSource,
rationale: baseRationale,
},
],
citations: [baseCitation],
warnings: [],
});
expect(result.normativeRecommendations).toBe(1);
});
it("mixes cited / uncited / observational correctly", () => {
const result = computeCitationCoverage({
summary: "x",
recommendations: [
{
id: "cited-1",
text: "Aim for target range 130/80",
severity: "important",
metricSource: baseMetricSource,
rationale: baseRationale,
referenceId: knownRefId,
},
{
id: "uncited-1",
text: "Your weight should drop by 2 kg",
severity: "suggestion",
metricSource: baseMetricSource,
rationale: baseRationale,
},
{
id: "observational-1",
// No normative keyword — pure within-user comparison.
text: "Your avg7 (78 bpm) is 5 bpm higher than your 90-day median",
severity: "info",
metricSource: baseMetricSource,
rationale: baseRationale,
},
],
citations: [baseCitation],
warnings: [],
});
expect(result.totalRecommendations).toBe(3);
expect(result.normativeRecommendations).toBe(2);
expect(result.citedNormativeRecommendations).toBe(1);
expect(result.uncitedNormativeRecommendationIds).toEqual(["uncited-1"]);
});
});
describe("generateInsight() — citation-coverage annotation", () => {
beforeEach(() => {
annotateMock.mockReset();
});
/**
* v1.4.16 phase B5d — `applyConfidenceOverride()` also calls
* `annotate()` (action: "confidence.override.applied"), so the
* citation-coverage assertions filter by meta-key rather than by
* call count.
*/
function findCoverageCall(calls: Array<unknown[]>): Record<string, unknown> {
for (const call of calls) {
const arg = call[0] as { meta?: Record<string, unknown> } | undefined;
const meta = arg?.meta;
if (meta && "ai_total_recommendations" in meta) {
return meta;
}
}
throw new Error("citation-coverage annotate() call not found");
}
it("emits an annotate() call with the coverage breakdown on success", async () => {
const provider = new MockAIProvider({
responses: JSON.stringify({
summary: "x",
recommendations: [
{
id: "rec-cited",
text: "Aim for a target below 140/90",
severity: "important",
metricSource: baseMetricSource,
rationale: baseRationale,
referenceId: knownRefId,
},
],
citations: [baseCitation],
warnings: [],
}),
});
await generateInsight(
provider,
singleUserTurn({ system: "system", user: "user" }),
);
const meta = findCoverageCall(annotateMock.mock.calls);
expect(meta).toMatchObject({
ai_total_recommendations: 1,
ai_normative_recommendations: 1,
ai_cited_normative_recommendations: 1,
ai_uncited_normative_recommendation_ids: [],
});
});
it("annotation flags the uncited normative rec", async () => {
const provider = new MockAIProvider({
responses: JSON.stringify({
summary: "x",
recommendations: [
{
id: "rec-naked",
text: "Your BP should stay below 140/90",
severity: "important",
metricSource: baseMetricSource,
rationale: baseRationale,
},
],
citations: [baseCitation],
warnings: [],
}),
});
await generateInsight(
provider,
singleUserTurn({ system: "system", user: "user" }),
);
const meta = findCoverageCall(annotateMock.mock.calls);
expect(meta).toMatchObject({
ai_normative_recommendations: 1,
ai_cited_normative_recommendations: 0,
ai_uncited_normative_recommendation_ids: ["rec-naked"],
});
});
it("does NOT annotate when generation throws (only on success)", async () => {
// Provider returns invalid JSON twice → InsightSchemaError surfaces.
const provider = new MockAIProvider({
responses: ["not json", "still not json"],
});
await expect(
generateInsight(provider, singleUserTurn({ system: "s", user: "u" })),
).rejects.toThrow();
expect(annotateMock).not.toHaveBeenCalled();
});
});