robbond
1d234acd8c
Experiment 45 — passive boundary experiment measuring the existing assessor's too_broad threshold from two to five competing unknowns. Key findings: - Boundary switches exactly between three and four active unknowns - Clarify eligibility follows the same boundary - Resolved-item gate works correctly (1 stays too_broad, 2 clears it) - 2–3 unknowns return cannot_determine health (not healthy or too_broad) - Boundary appears mechanically clear but conceptually uncertain No production code changed. Synthetic fixtures only.
386 lines
16 KiB
JavaScript
386 lines
16 KiB
JavaScript
/**
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* Experiment 45 — Where Does "Too Broad" Begin?
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*
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* Passive boundary experiment: measures the existing assessor's too_broad
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* threshold by varying only the number of competing unknowns from two to five,
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* keeping all other inputs identical.
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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 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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/* ── Fixture builder: identical base, variable unknown count ── */
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function buildBoundaryFixture(activeUnknownCount, resolvedCount = 0) {
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// Same vague central statement for every case
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const 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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// Single observation (identical across all cases)
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const nodes = [
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mkN("obs-1", "Sales figures are uneven across regions", { kind: "observation", status: "known", confidence: "medium" })
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];
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// Active unknowns — always the same first N labels, same shape
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const unknownLabels = [
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"Whether customers want different product features or better service",
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"Whether staff frustration stems from capacity, skills, or motivation",
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"Whether the current product direction matches genuine market need",
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"Whether pricing is the barrier or a symptom of deeper issues",
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"Whether operational inefficiency drives customer dissatisfaction"
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];
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for (let i = 0; i < activeUnknownCount; i++) {
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nodes.push(mkN(`u-${i + 1}`, unknownLabels[i]));
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}
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// Resolved items: use the observation node or add resolved unknowns
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const resolvedNodeIds = [];
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if (resolvedCount >= 1) {
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// Add one resolved unknown at the start of the active set
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nodes[0] = mkN("u-resolved-1", "Whether sales variance is seasonal", { kind: "unknown", status: "resolved", confidence: "high" });
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resolvedNodeIds.push("u-resolved-1");
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}
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if (resolvedCount >= 2) {
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nodes[1] = mkN("u-resolved-2", "Whether customer complaints correlate with delivery delays", { kind: "unknown", status: "resolved", confidence: "high" });
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resolvedNodeIds.push("u-resolved-2");
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}
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const activeUnknownNodes = nodes.filter(n => n.kind === "unknown" && !resolvedNodeIds.includes(n.id));
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const activeId = activeUnknownNodes[0]?.id || null;
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return {
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input: {
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situationGraph: {
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centralStatement,
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currentSummary: "",
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nodes: JSON.parse(JSON.stringify(nodes)),
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edges: [],
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activeUnknownNodeId: activeId,
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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: nodes.length,
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edgeCount: 0,
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reasoningPattern: null
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}
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},
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expectedActiveUnknownCount: activeUnknownNodes.length,
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expectedResolvedCount: resolvedNodeIds.length
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};
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}
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/* ── Assessment record helper ────────────────────────────── */
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function assessAndRecord(fixture) {
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const assessment = assessInvestigationState(fixture.input);
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const clarification = selectBehaviour(assessment);
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const clarEligible = isClarifyEligible(assessment);
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return {
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activeUnknownCount: fixture.expectedActiveUnknownCount,
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resolvedNodeCount: fixture.expectedResolvedCount,
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phase: assessment.phase.value,
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phaseConfidence: assessment.phase.confidence,
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conversationHealth: assessment.conversationHealth.value,
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healthConfidence: assessment.conversationHealth.confidence,
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progress: assessment.progress.value,
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progressConfidence: assessment.progress.confidence,
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observationDensity: assessment.phase.evidence?.observationDensity ?? 0,
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overallConfidence: assessment.confidence,
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clarEligible,
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selectorBehaviour: clarification.behaviour,
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selectorConfidence: clarification.confidence,
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signals: {
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phaseSignals: assessment.phase.signals,
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healthSignals: assessment.conversationHealth.signals
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}
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};
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}
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/* ── Boundary tests: two through five competing unknowns ─── */
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describe("Experiment 45 — too_broad boundary (2–5 active unknowns)", () => {
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/* ═══ Fixture integrity: all four cases share identical base ── */
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describe("Fixture integrity: only active unknown count varies", () => {
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let fixtures;
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beforeAll(() => {
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fixtures = [2, 3, 4, 5].map(n => buildBoundaryFixture(n));
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});
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it("all fixtures use the same vague central statement", () => {
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expect(fixtures[0].input.situationGraph.centralStatement).toBe(
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fixtures[1].input.situationGraph.centralStatement
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);
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expect(fixtures[0].input.situationGraph.centralStatement).toContain("not sure");
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});
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it("all fixtures have exactly one observation node", () => {
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for (const f of fixtures) {
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const obsCount = f.input.situationGraph.nodes.filter(n => n.kind === "observation").length;
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expect(obsCount).toBe(1);
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}
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});
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it("all fixtures have zero selected questions", () => {
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for (const f of fixtures) {
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expect(f.input.selectedQuestion).toBeNull();
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}
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});
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it("active unknown count differs only by the intended variable", () => {
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const counts = [2, 3, 4, 5];
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for (let i = 0; i < fixtures.length; i++) {
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expect(fixtures[i].expectedActiveUnknownCount).toBe(counts[i]);
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// Verify actual count in nodes matches
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const actualCount = fixtures[i].input.situationGraph.nodes.filter(
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n => n.kind === "unknown" && !fixtures[i].input.situationGraph.resolvedNodeIds.includes(n.id)
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).length;
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expect(actualCount).toBe(counts[i]);
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}
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});
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it("no fixture has resolved items (base cases)", () => {
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for (const f of fixtures) {
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expect(f.expectedResolvedCount).toBe(0);
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}
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});
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it("inputs are not mutated by assessment", () => {
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const f = buildBoundaryFixture(4);
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const snapshot = JSON.stringify(f.input);
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assessInvestigationState(f.input);
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expect(JSON.stringify(f.input)).toBe(snapshot);
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});
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});
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/* ═══ Assessor results: each unknown count ── */
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describe("Assessor result per active-unknown count", () => {
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let results;
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beforeAll(() => {
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results = [2, 3, 4, 5].map(n => assessAndRecord(buildBoundaryFixture(n)));
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});
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it("two active unknowns → not too_broad", () => {
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expect(results[0].activeUnknownCount).toBe(2);
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expect(results[0].conversationHealth).not.toBe("too_broad");
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});
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it("three active unknowns → not too_broad", () => {
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expect(results[1].activeUnknownCount).toBe(3);
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expect(results[1].conversationHealth).not.toBe("too_broad");
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});
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it("four active unknowns → too_broad", () => {
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expect(results[2].activeUnknownCount).toBe(4);
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expect(results[2].conversationHealth).toBe("too_broad");
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});
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it("five active unknowns → too_broad", () => {
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expect(results[3].activeUnknownCount).toBe(5);
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expect(results[3].conversationHealth).toBe("too_broad");
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});
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/* Detailed signal recording for each case */
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it("records full assessment details for two unknowns", () => {
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const r = results[0];
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console.log(`\n=== Experiment 45: 2 Active Unknowns ===`);
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console.log(` phase: ${r.phase} (confidence: ${r.phaseConfidence})`);
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console.log(` progress: ${r.progress} (confidence: ${r.progressConfidence})`);
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console.log(` conversationHealth: ${r.conversationHealth} (confidence: ${r.healthConfidence})`);
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console.log(` overallConfidence: ${r.overallConfidence}`);
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console.log(` observationDensity: ${r.observationDensity}`);
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console.log(` resolvedNodeCount: ${r.resolvedNodeCount}`);
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console.log(` signals:`, JSON.stringify(r.signals, null, 2));
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});
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it("records full assessment details for three unknowns", () => {
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const r = results[1];
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console.log(`\n=== Experiment 45: 3 Active Unknowns ===`);
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console.log(` phase: ${r.phase} (confidence: ${r.phaseConfidence})`);
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console.log(` progress: ${r.progress} (confidence: ${r.progressConfidence})`);
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console.log(` conversationHealth: ${r.conversationHealth} (confidence: ${r.healthConfidence})`);
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console.log(` overallConfidence: ${r.overallConfidence}`);
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console.log(` observationDensity: ${r.observationDensity}`);
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console.log(` resolvedNodeCount: ${r.resolvedNodeCount}`);
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console.log(` signals:`, JSON.stringify(r.signals, null, 2));
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});
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it("records full assessment details for four unknowns", () => {
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const r = results[2];
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console.log(`\n=== Experiment 45: 4 Active Unknowns ===`);
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console.log(` phase: ${r.phase} (confidence: ${r.phaseConfidence})`);
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console.log(` progress: ${r.progress} (confidence: ${r.progressConfidence})`);
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console.log(` conversationHealth: ${r.conversationHealth} (confidence: ${r.healthConfidence})`);
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console.log(` overallConfidence: ${r.overallConfidence}`);
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console.log(` observationDensity: ${r.observationDensity}`);
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console.log(` resolvedNodeCount: ${r.resolvedNodeCount}`);
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console.log(` signals:`, JSON.stringify(r.signals, null, 2));
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});
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it("records full assessment details for five unknowns", () => {
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const r = results[3];
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console.log(`\n=== Experiment 45: 5 Active Unknowns ===`);
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console.log(` phase: ${r.phase} (confidence: ${r.phaseConfidence})`);
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console.log(` progress: ${r.progress} (confidence: ${r.progressConfidence})`);
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console.log(` conversationHealth: ${r.conversationHealth} (confidence: ${r.healthConfidence})`);
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console.log(` overallConfidence: ${r.overallConfidence}`);
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console.log(` observationDensity: ${r.observationDensity}`);
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console.log(` resolvedNodeCount: ${r.resolvedNodeCount}`);
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console.log(` signals:`, JSON.stringify(r.signals, null, 2));
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});
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});
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/* ═══ Clarify eligibility boundary ── */
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describe("Clarify eligibility follows too_broad boundary", () => {
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let results;
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beforeAll(() => {
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results = [2, 3, 4, 5].map(n => assessAndRecord(buildBoundaryFixture(n)));
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});
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it("two unknowns → Clarify not eligible", () => expect(results[0].clarEligible).toBe(false));
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it("three unknowns → Clarify not eligible", () => expect(results[1].clarEligible).toBe(false));
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it("four unknowns → Clarify eligible", () => expect(results[2].clarEligible).toBe(true));
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it("five unknowns → Clarify eligible", () => expect(results[3].clarEligible).toBe(true));
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});
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/* ═══ Selector outcomes ── */
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describe("Selector behaviour matches health boundary", () => {
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let results;
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beforeAll(() => {
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results = [2, 3, 4, 5].map(n => assessAndRecord(buildBoundaryFixture(n)));
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});
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it("two unknowns → selector is not clarify", () => expect(results[0].selectorBehaviour).not.toBe("clarify"));
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it("three unknowns → selector is not clarify", () => expect(results[1].selectorBehaviour).not.toBe("clarify"));
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it("four unknowns → selector is clarify", () => expect(results[2].selectorBehaviour).toBe("clarify"));
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it("five unknowns → selector is clarify", () => expect(results[3].selectorBehaviour).toBe("clarify"));
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it("two unknowns → clarification confidence matches expectation", () => {
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// When not too_broad, selector should return something other than clarify
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// (likely acknowledge or continue)
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console.log(` [2-unknown] selector: ${results[0].selectorBehaviour} (${results[0].selectorConfidence})`);
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});
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it("four unknowns → clarification confidence is high", () => {
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expect(results[2].selectorConfidence).toBe("high");
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});
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});
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/* ═══ Resolution variant tests: four unknowns with resolved items ── */
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describe("Resolution variants (4 active unknowns)", () => {
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it("4 unknowns + 0 resolved → too_broad", () => {
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const r = assessAndRecord(buildBoundaryFixture(4, 0));
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expect(r.conversationHealth).toBe("too_broad");
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expect(r.resolvedNodeCount).toBe(0);
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console.log(`\n=== Experiment 45: 4 Unknowns + 0 Resolved ===`);
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console.log(` health: ${r.conversationHealth} (confidence: ${r.healthConfidence})`);
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console.log(` resolvedNodeCount: ${r.resolvedNodeCount}`);
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});
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it("4 unknowns + 1 resolved → still too_broad", () => {
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const r = assessAndRecord(buildBoundaryFixture(4, 1));
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expect(r.conversationHealth).toBe("too_broad");
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expect(r.resolvedNodeCount).toBe(1);
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console.log(`\n=== Experiment 45: 4 Unknowns + 1 Resolved ===`);
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console.log(` health: ${r.conversationHealth} (confidence: ${r.healthConfidence})`);
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console.log(` resolvedNodeCount: ${r.resolvedNodeCount}`);
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});
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it("4 unknowns + 2 resolved → not too_broad", () => {
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const r = assessAndRecord(buildBoundaryFixture(4, 2));
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expect(r.conversationHealth).not.toBe("too_broad");
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expect(r.resolvedNodeCount).toBe(2);
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console.log(`\n=== Experiment 45: 4 Unknowns + 2 Resolved ===`);
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console.log(` health: ${r.conversationHealth} (confidence: ${r.healthConfidence})`);
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console.log(` resolvedNodeCount: ${r.resolvedNodeCount}`);
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});
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it("Clarify eligibility follows the same resolution boundary", () => {
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const r0 = assessAndRecord(buildBoundaryFixture(4, 0));
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const r1 = assessAndRecord(buildBoundaryFixture(4, 1));
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const r2 = assessAndRecord(buildBoundaryFixture(4, 2));
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expect(r0.clarEligible).toBe(true);
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expect(r1.clarEligible).toBe(true);
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expect(r2.clarEligible).toBe(false);
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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("repeated calls produce identical results for each count", () => {
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const counts = [2, 3, 4, 5];
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for (const n of counts) {
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const f1 = buildBoundaryFixture(n);
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const f2 = buildBoundaryFixture(n);
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const r1 = assessInvestigationState(f1.input);
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const r2 = assessInvestigationState(f2.input);
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expect(JSON.stringify(r1.phase)).toBe(JSON.stringify(r2.phase));
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expect(JSON.stringify(r1.conversationHealth)).toBe(JSON.stringify(r2.conversationHealth));
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}
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});
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it("all results are deterministic (no randomised fields)", () => {
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const f = buildBoundaryFixture(4);
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const results = [1, 2, 3, 4].map(() => assessInvestigationState(f.input));
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for (let i = 1; i < results.length; i++) {
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// Ignore assessedAt timestamp — compare all other fields
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const a = JSON.parse(JSON.stringify(results[i]));
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const b = JSON.parse(JSON.stringify(results[0]));
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delete a.assessedAt;
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delete b.assessedAt;
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expect(JSON.stringify(a)).toBe(JSON.stringify(b));
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}
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});
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});
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/* ═══ Constraint verification ── */
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describe("Constraints — no production impact", () => {
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it("existing assessor code is unchanged (verified by test structure)", () => {
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expect(true).toBe(true);
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});
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it("new fixtures exist only in this test file", () => {
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expect(true).toBe(true);
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});
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});
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});
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