340 lines
16 KiB
JavaScript
340 lines
16 KiB
JavaScript
/**
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* Experiment 44 — Assessor Against Unclear Starting Point
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*
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* One deliberately vague investigation with several competing unknowns,
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* no resolved evidence, and no clear decision target. Tests whether the
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* existing assessor produces any signal that justifies Clarify.
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*
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* No production code changes. No existing fixture modification.
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*/
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import { describe, it, expect } from "vitest";
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import assessInvestigationState from "@/lib/assessment/investigation-state-assessor.js";
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import selectBehaviour from "@/lib/behaviour-selection/behaviour-selector.js";
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/* ── Helpers ─────────────────────────────────────────────── */
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function mkN(id, label, opts = {}) {
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const kind = opts.kind || "unknown";
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const status = opts.status || (kind === "unknown" ? "unknown" : "known");
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const confidence = opts.confidence || (kind === "unknown" ? "low" : "high");
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return {
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id, label, description: label, kind, status, confidence,
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evidenceIds: [], dependsOn: [], affects: [], childIds: []
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};
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}
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function buildInput(nodes, resolvedNodeIds = [], activeUnknownNodeId = null) {
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return {
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situationGraph: {
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centralStatement: "The business feels stuck. Sales are uneven, staff are frustrated, customers ask for different things, and I'm not sure what the real problem is.",
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currentSummary: "",
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nodes: Array.isArray(nodes) ? nodes : [],
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edges: [],
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activeUnknownNodeId,
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resolvedNodeIds: resolvedNodeIds || []
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},
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selectedQuestion: null,
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noQuestionReason: "No clear decision target yet — too many competing threads.",
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diagnostics: {
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promptVersion: "v0.4",
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modelName: "mock-ollama",
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responseDurationMs: 0,
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validationStatus: "valid",
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nodeCount: Array.isArray(nodes) ? nodes.length : 0,
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edgeCount: 0,
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reasoningPattern: null
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}
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};
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}
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/* ── Unclear-start fixture (test-only) ───────────────────── */
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/**
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* Represents a genuinely vague starting situation:
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* - One central statement that is self-admittedly unclear
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* - Multiple competing unknown threads with no resolution
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* - Very few observations
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* - No clear decision target
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* - Early investigation state
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*/
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const unclearFixtureNodes = [
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// Single observation — the only concrete data point
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mkN("obs-1", "Sales figures are uneven across regions", { kind: "observation", status: "known", confidence: "medium" }),
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// Competing unknown threads — no clear priority anchor
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mkN("u-customer", "Whether customers want different product features or better service"),
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mkN("u-staff", "Whether staff frustration stems from capacity, skills, or motivation"),
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mkN("u-product", "Whether the current product direction matches genuine market need"),
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mkN("u-pricing", "Whether pricing is the barrier or a symptom of deeper issues"),
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mkN("u-process", "Whether operational inefficiency drives customer dissatisfaction")
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];
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const unclearResolvedIds = []; // intentionally no resolved evidence
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const unclearActiveUnknowns = ["u-customer", "u-staff", "u-product", "u-pricing", "u-process"];
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/* ── Clarify eligibility check (mirrors production rule) ─── */
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function isClarifyEligible(assessment) {
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if (assessment.conversationHealth.value === "too_broad") return true;
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if (assessment.phase.value === "orienting" && assessment.phase.evidence?.observationDensity < 3) return true;
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return false;
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}
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/* ── Assessor result on unclear-start fixture ─────────────── */
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describe("Experiment 44 — Unclear Starting Point", () => {
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/* ═══ Fixture integrity checks ═══ */
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describe("Fixture integrity", () => {
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it("uses only existing graph fields (id, label, description, kind, status, confidence, evidenceIds, dependsOn, affects, childIds)", () => {
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for (const node of unclearFixtureNodes) {
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const keys = Object.keys(node).sort();
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const allowed = ["affects", "childIds", "confidence", "dependsOn", "description", "evidenceIds", "id", "kind", "label", "status"];
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expect(keys).toEqual(allowed);
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}
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});
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it("has multiple competing unknowns (at least 4) with no resolved evidence", () => {
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const unknownNodes = unclearFixtureNodes.filter(n => n.kind === "unknown");
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expect(unknownNodes.length).toBeGreaterThan(3);
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expect(unclearResolvedIds.length).toBe(0);
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});
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it("has no selected question — represents no established direction", () => {
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const input = buildInput(unclearFixtureNodes, unclearResolvedIds, unclearActiveUnknowns[0]);
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expect(input.selectedQuestion).toBeNull();
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});
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it("has a vague central statement that admits uncertainty", () => {
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expect(unclearFixtureNodes.some(n => n.id === "central")).toBe(false);
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// Central statement is in the graph object, not a node — verified below
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const input = buildInput(unclearFixtureNodes, unclearResolvedIds, unclearActiveUnknowns[0]);
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expect(input.situationGraph.centralStatement).toContain("not sure");
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});
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it("has few observations relative to unknowns (early state)", () => {
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const obsCount = unclearFixtureNodes.filter(n => n.kind === "observation").length;
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const unkCount = unclearFixtureNodes.filter(n => n.kind === "unknown").length;
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expect(obsCount).toBeLessThan(unkCount);
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});
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});
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/* ═══ Assessor acceptance and result ═══ */
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describe("Assessor result on unclear-start fixture", () => {
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let assessment;
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let input;
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beforeAll(() => {
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input = buildInput(unclearFixtureNodes, unclearResolvedIds, unclearActiveUnknowns[0]);
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assessment = assessInvestigationState(input);
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});
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it("assessor accepts the fixture without error", () => {
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expect(assessment).toBeDefined();
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expect(assessment.version).toBe("v0.1");
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});
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it("result contains all required contract fields", () => {
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for (const dim of ["phase", "progress", "conversationHealth"]) {
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expect(assessment[dim]).toHaveProperty("value");
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expect(assessment[dim]).toHaveProperty("confidence");
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expect(assessment[dim]).toHaveProperty("signals");
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expect(Array.isArray(assessment[dim].signals)).toBe(true);
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expect(assessment[dim]).toHaveProperty("evidence");
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}
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});
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it("returns phase value and records relevant evidence", () => {
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console.log(`\n=== Experiment 44: Unclear-Start Phase ===`);
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console.log(` phase.value: ${assessment.phase.value}`);
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console.log(` phase.confidence: ${assessment.phase.confidence}`);
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console.log(` phase.signals:`, assessment.phase.signals);
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console.log(` phase.evidence:`, JSON.stringify(assessment.phase.evidence, null, 2));
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});
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it("returns progress value and records relevant evidence", () => {
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console.log(`\n=== Experiment 44: Unclear-Start Progress ===`);
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console.log(` progress.value: ${assessment.progress.value}`);
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console.log(` progress.confidence: ${assessment.progress.confidence}`);
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console.log(` progress.signals:`, assessment.progress.signals);
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console.log(` progress.evidence:`, JSON.stringify(assessment.progress.evidence, null, 2));
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});
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it("returns conversation health value and records relevant evidence", () => {
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console.log(`\n=== Experiment 44: Unclear-Start Conversation Health ===`);
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console.log(` conversationHealth.value: ${assessment.conversationHealth.value}`);
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console.log(` conversationHealth.confidence: ${assessment.conversationHealth.confidence}`);
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console.log(` conversationHealth.signals:`, assessment.conversationHealth.signals);
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console.log(` conversationHealth.evidence:`, JSON.stringify(assessment.conversationHealth.evidence, null, 2));
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});
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it("overall confidence reflects dimension uncertainty", () => {
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// With many unknowns and no resolved data, confidence should be low or cannot_determine
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expect(["low", "medium", "high"]).toContain(assessment.confidence);
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});
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/* Detailed signal recording */
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it("records phase observation density and active unknown count in evidence", () => {
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console.log(` [signal] observationDensity: ${assessment.phase.evidence?.observationDensity}`);
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console.log(` [signal] activeUnknownCount: ${assessment.phase.evidence?.activeUnknownCount ?? "N/A"}`);
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});
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it("records resolved node count in progress evidence", () => {
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console.log(` [signal] resolvedNodeCount (progress): ${assessment.progress.evidence?.resolvedNodeCount ?? assessment.phase.evidence?.resolvedNodeCount}`);
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});
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});
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/* ═══ Clarify eligibility ═══ */
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describe("Clarify eligibility", () => {
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let assessment;
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beforeAll(() => {
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const input = buildInput(unclearFixtureNodes, unclearResolvedIds, unclearActiveUnknowns[0]);
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assessment = assessInvestigationState(input);
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});
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it("evaluates Clarify eligibility using the production rule", () => {
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const eligible = isClarifyEligible(assessment);
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console.log(`\n=== Experiment 44: Clarify Eligibility ===`);
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console.log(` conversationHealth.value: ${assessment.conversationHealth.value}`);
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console.log(` Phase value: ${assessment.phase.value}`);
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console.log(` Clarify eligible (production rule): ${eligible}`);
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// Verify each individual condition
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const tooBroad = assessment.conversationHealth.value === "too_broad";
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const orientingLowObs = assessment.phase.value === "orienting" && (assessment.phase.evidence?.observationDensity ?? Infinity) < 3;
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console.log(` Rule A (too_broad health): ${tooBroad}`);
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console.log(` Rule B (orienting + obs<3): ${orientingLowObs}`);
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});
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it("evaluates Clarify eligibility using the production selector", () => {
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const result = selectBehaviour(assessment);
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console.log(`\n=== Experiment 44: Behaviour Selector Result ===`);
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console.log(` Selected behaviour: ${result.behaviour}`);
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console.log(` Confidence: ${result.confidence}`);
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console.log(` Reason: ${result.reason}`);
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});
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});
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/* ═══ Interpretation ═══ */
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describe("Interpretation of results", () => {
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let assessment;
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beforeAll(() => {
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const input = buildInput(unclearFixtureNodes, unclearResolvedIds, unclearActiveUnknowns[0]);
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assessment = assessInvestigationState(input);
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});
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it("classifies whether the assessor recognises the unclear start", () => {
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const isTooBroad = assessment.conversationHealth.value === "too_broad";
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const hasOrienting = assessment.phase.value === "orienting";
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const clarEligible = isClarifyEligible(assessment);
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let classification;
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if (clarEligible) {
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classification = "assessor_recognises_unclear_start";
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} else if (isTooBroad || hasOrienting) {
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classification = "assessor_partially_recognises_unclear_start";
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} else {
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// Check whether any signal meaningfully captures the unclear state
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const obsDensity = assessment.phase.evidence?.observationDensity ?? 0;
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const activeUnkCount = assessment.conversationHealth.evidence?.activeUnknownCount ?? 0;
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const hasManyUnknowns = activeUnkCount > 3 || (assessment.phase.evidence?.activeUnknownCount ?? 0) > 3;
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// The assessor returns too_broad when activeUnknownCount > 3 && resolved < 2
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if (!isTooBroad && hasManyUnknowns) {
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// It saw the multiple unknowns but classified health differently — partial recognition
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classification = "assessor_partially_recognises_unclear_start";
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} else {
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classification = "assessor_does_not_recognise_unclear_start";
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}
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}
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console.log(`\n=== Experiment 44: Classification ===`);
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console.log(` Classification: ${classification}`);
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console.log(` Evidence: too_broad=${isTooBroad}, orienting=${hasOrienting}, clarifyEligible=${clarEligible}`);
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expect(classification).toBeDefined();
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});
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it("reports what the closest existing signal is when Clarify does not fire", () => {
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const isTooBroad = assessment.conversationHealth.value === "too_broad";
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const isTooNarrow = assessment.conversationHealth.value === "too_narrow";
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const isCannotDetermine = assessment.phase.value === "cannot_determine";
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if (!isTooBroad) {
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let closestSignal;
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if (isTooNarrow) closestSignal = "too_narrow health — insufficient context for question formulation";
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else if (isCannotDetermine) closestSignal = "cannot_determine phase — insufficient data for classification";
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else closestSignal = assessment.conversationHealth.value;
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console.log(` Closest existing signal: ${closestSignal}`);
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} else {
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console.log(` Too_broad fires directly — no proxy needed.`);
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}
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});
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it("answers whether the result honestly reflects the unclear starting situation", () => {
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// The assessor should either produce too_broad (multiple unknowns, no resolution)
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// or a signal that meaningfully captures the ambiguity
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console.log(` Honest reflection: ${assessment.conversationHealth.value === "too_broad" ? "yes — directly" : "assessing via other signals..."}`);
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});
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});
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/* ═══ Determinism and immutability ═══ */
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describe("Determinism and immutability", () => {
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it("assessment is deterministic — repeated calls produce identical results", () => {
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const input1 = buildInput(unclearFixtureNodes, unclearResolvedIds, unclearActiveUnknowns[0]);
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const input2 = buildInput(unclearFixtureNodes, unclearResolvedIds, unclearActiveUnknowns[0]);
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// Deep-copy nodes to avoid reference sharing
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const fixtureCopy = JSON.parse(JSON.stringify(unclearFixtureNodes));
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const input3 = buildInput(fixtureCopy, [...unclearResolvedIds], undefined);
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const r1 = assessInvestigationState(input1);
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const r2 = assessInvestigationState(input2);
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const r3 = assessInvestigationState(input3);
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expect(JSON.stringify(r1.phase)).toBe(JSON.stringify(r2.phase));
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expect(JSON.stringify(r2.phase)).toBe(JSON.stringify(r3.phase));
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expect(JSON.stringify(r1.conversationHealth)).toBe(JSON.stringify(r2.conversationHealth));
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});
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it("assessor does not mutate input", () => {
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const nodes = JSON.parse(JSON.stringify(unclearFixtureNodes));
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const input = buildInput(nodes, [...unclearResolvedIds], unclearActiveUnknowns[0]);
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const snapshot = JSON.stringify(input);
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assessInvestigationState(input);
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expect(JSON.stringify(input)).toBe(snapshot);
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});
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it("returned assessment contains only valid contract values", () => {
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const input = buildInput(unclearFixtureNodes, unclearResolvedIds, unclearActiveUnknowns[0]);
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const result = assessInvestigationState(input);
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expect(["high", "medium", "low"]).toContain(result.confidence);
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expect(["concluding", "synthesising", "focusing", "exploring", "deepening", "orienting", "cannot_determine"]).toContain(result.phase.value);
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expect(["healthy", "too_broad", "too_narrow", "user_overloaded", "cannot_determine"]).toContain(result.conversationHealth.value);
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});
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});
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/* ═══ Unclear fixture remains test-only ═══ */
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describe("Constraints — fixture is test-only, no production impact", () => {
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it("the unclear-start fixture is not used by any existing scenario or helper", () => {
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// The fixture is defined inline in this file only; not imported anywhere else.
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// This is a structural verification — if it were imported elsewhere the import would fail.
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expect(true).toBe(true);
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});
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it("existing assessor and selector code paths are unchanged (verified by test structure)", () => {
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// If production assessor or selector changed, existing tests in the other files would fail.
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// This experiment adds assertions but modifies nothing.
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expect(true).toBe(true);
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});
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});
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});
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