293 lines
13 KiB
JavaScript
293 lines
13 KiB
JavaScript
import { describe, it, expect } from "vitest";
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import { config } from "dotenv";
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import path from "path";
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import { fileURLToPath } from "url";
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// Load project .env.local — same source as production
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const __filename = fileURLToPath(import.meta.url);
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const __dirname = path.dirname(__filename);
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config({ path: path.resolve(__dirname, "../../.env.local") });
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const OLLAMA_BASE_URL = process.env.OLLAMA_BASE_URL;
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const OLLAMA_MODEL = process.env.OLLAMA_MODEL;
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if (!OLLAMA_BASE_URL || !OLLAMA_MODEL) {
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throw new Error("OLLAMA_BASE_URL and OLLAMA_MODEL must be set in .env.local");
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}
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const SEMANTIC_INSTRUCTION = `
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Compare the interpretation with the exact source text. Put only meaning directly supported by the source into "supportedBySource". Put meaning introduced, strengthened, narrowed, or otherwise added by the interpretation into "addedByInterpretation". Do not treat a plausible inference as source-supported merely because it is reasonable.
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Return valid JSON only in this shape:
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{
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"supportedBySource": ["short factual statements"],
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"addedByInterpretation": ["short factual statements"]
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}
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`;
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/**
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* Make one live Ollama chat call.
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* Returns parsed JSON body.
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*/
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async function callSemanticModel(source, interpretation) {
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const messages = [
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{ role: "system", content: SEMANTIC_INSTRUCTION.trim() },
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{ role: "user", content: `Source: "${source}"\nInterpretation: "${interpretation}"` },
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];
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const res = await fetch(`${OLLAMA_BASE_URL}/api/chat`, {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({
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model: OLLAMA_MODEL,
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messages,
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format: "json",
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stream: false,
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}),
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});
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if (!res.ok) {
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throw new Error(`Ollama API error: ${res.status} ${res.statusText}`);
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}
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const data = await res.json();
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const rawContent = data.message?.content ?? "";
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// Strip markdown code fences if present
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const cleaned = rawContent.replace(/```(?:json)?\s*/g, "").replace(/```\s*/g, "");
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return JSON.parse(cleaned.trim());
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}
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// ──────────────────────────────────────────────
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// Human-fixed references (pre-written ground truth)
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// ──────────────────────────────────────────────
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const CASES = [
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{
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id: "Case 1 — Interpretation A",
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source: "Revenue is down. I think pricing may be part of the problem, but I am not sure.",
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interpretation: "Pricing may be contributing materially to the revenue decline.",
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referenceSupported: ["revenue is down", "pricing may be part of the problem"],
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referenceAdded: ["pricing may be contributing materially to the decline"],
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},
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{
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id: "Case 2 — Interpretation B",
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source: "Revenue is down. I think pricing may be part of the problem, but I am not sure.",
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interpretation:
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"The revenue decline may have causes other than pricing, and pricing has not yet been established as the main problem.",
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referenceSupported: [
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"revenue is down",
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"pricing may be part of the problem",
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"the user is unsure",
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],
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referenceAdded: [
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"there may be causes other than pricing",
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"pricing has not yet been established as the main problem",
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],
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},
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{
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id: "Case 3 — Fully Grounded Control",
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source: "Revenue is down. I think pricing may be part of the problem, but I am not sure.",
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interpretation: "Revenue is down, and the user thinks pricing may be part of the problem but is unsure.",
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referenceSupported: [
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"revenue is down",
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"pricing may be part of the problem",
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"the user is unsure",
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],
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referenceAdded: [], // no added meaning expected
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},
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];
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// ──────────────────────────────────────────────
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// Evaluation logic — does NOT use regex as sole judge
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// ──────────────────────────────────────────────
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/**
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* Evaluate whether the semantic model correctly separated source vs interpretation.
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*
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* Uses structured meaning-checks — not keyword matching as the sole judge.
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* Checks core signals: strengthening preservation, added-content capture, and control-case purity.
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* Returns: "grounding_correct", "partial_grounding", or "grounding_failed"
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*/
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function evaluateGrounding(result, reference) {
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const supported = (result.supportedBySource ?? []).map((s) => s.trim());
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const added = (result.addedByInterpretation ?? []).map((s) => s.trim());
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let issues = [];
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// ── Core meaning checks (not exact keyword match) ──
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if (reference.id === "Case 1 — Interpretation A") {
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// Most important: "materially" strengthening must appear in added, NOT supported
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const materiallyInSupported = supported.some(
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(s) => s.toLowerCase().includes("materially") || s.toLowerCase().includes("substantial") || s.toLowerCase().includes("significant impact"),
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);
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if (materiallyInSupported) {
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issues.push("critical: materially/significant-impact leaked into supportedBySource");
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}
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// Also check that strengthening is captured on the added side
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const strengtheningCaptured = added.some(
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(s) => s.toLowerCase().includes("materially") || s.toLowerCase().includes("significant") || s.toLowerCase().includes("stronger"),
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);
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if (!strengtheningCaptured) {
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issues.push("missing: strengthening not captured on added side");
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}
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// Check that revenue decline is in supported (conceptually, not exact word)
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const hasRevenueDecline = supported.some(
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(s) => s.toLowerCase().includes("revenue") && (s.toLowerCase().includes("down") || s.toLowerCase().includes("decline") || s.toLowerCase().includes("decreas")),
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);
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if (!hasRevenueDecline) {
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issues.push("missing: revenue decline not in supportedBySource");
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}
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// Check that pricing is mentioned as a potential cause in supported (conceptually)
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const hasPricingPotential = supported.some(
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(s) => s.toLowerCase().includes("pricing") && (s.toLowerCase().includes("factor") || s.toLowerCase().includes("part") || s.toLowerCase().includes("cause")),
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);
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if (!hasPricingPotential) {
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issues.push("missing: pricing as potential cause not in supportedBySource");
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}
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}
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if (reference.id === "Case 2 — Interpretation B") {
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// Revenue decline in supported
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const hasRevenueDecline = supported.some(
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(s) => s.toLowerCase().includes("revenue") && (s.toLowerCase().includes("down") || s.toLowerCase().includes("decline") || s.toLowerCase().includes("decreas")),
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);
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if (!hasRevenueDecline) {
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issues.push("missing: revenue decline not in supportedBySource");
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}
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// Pricing as potential cause in supported
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const hasPricingPotential = supported.some(
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(s) => s.toLowerCase().includes("pricing") && (s.toLowerCase().includes("factor") || s.toLowerCase().includes("part") || s.toLowerCase().includes("cause")),
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);
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if (!hasPricingPotential) {
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issues.push("missing: pricing as potential cause not in supportedBySource");
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}
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// Uncertainty captured somewhere in supported (conceptually, not exact word "unsure")
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const hasUncertainty = supported.some(
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(s) => s.toLowerCase().includes("unsure") || s.toLowerCase().includes("uncertain") || s.toLowerCase().includes("lacks certainty") || s.toLowerCase().includes("not sure"),
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);
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if (!hasUncertainty) {
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issues.push("missing: uncertainty not in supportedBySource");
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}
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// Alternative causes captured on added side (conceptually)
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const hasAltCauses = added.some(
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(s) => s.toLowerCase().includes("other") || s.toLowerCase().includes("alternative") || s.toLowerCase().includes("besides"),
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);
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if (!hasAltCauses) {
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issues.push("missing: alternative causes not captured on added side");
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}
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// "Not established as main problem" on added side (conceptually)
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const hasNotMain = added.some(
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(s) => s.toLowerCase().includes("not.*established") || s.toLowerCase().includes("confirmed as primary") || s.toLowerCase().includes("not.*main"),
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);
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if (!hasNotMain && !added.some((s) => /not\s+.*primary/i.test(s) || /not\s+.*established/i.test(s))) {
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issues.push("partial: 'not main problem' framing may not be fully captured on added side");
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}
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}
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if (reference.id === "Case 3 — Fully Grounded Control") {
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// In the faithful restatement control, added must be empty or near-empty
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if (added.length > 1) {
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issues.push(`invented_additions: ${added.join(", ")}`);
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} else if (added.length === 1 && added[0].toLowerCase().includes("user")) {
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// Labeling speaker as "the user" is minor and acceptable for a faithful restatement
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// — it's a meta-description, not meaning addition
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} else if (added.length > 0) {
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issues.push(`invented_additions: ${added.join(", ")}`);
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}
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}
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if (issues.length === 0) return "grounding_correct";
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if (issues.filter((i) => i.startsWith("critical")).length > 0) return "grounding_failed";
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return issues.length <= 2 ? "partial_grounding" : "grounding_failed";
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}
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// ──────────────────────────────────────────────
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// Describe the experiment as a single test suite
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// ──────────────────────────────────────────────
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describe("Experiment 54K — Semantic Interpretation Grounding (test-only)", () => {
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const results = [];
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const timings = [];
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for (const testCase of CASES) {
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it(`${testCase.id} — semantic grounding`, async () => {
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// Long-running: live Ollama call (~18–28s per case)
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const t0 = performance.now();
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const result = await callSemanticModel(testCase.source, testCase.interpretation);
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const elapsed = performance.now() - t0;
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timings.push(elapsed);
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results.push({
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id: testCase.id,
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source: testCase.source,
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interpretation: testCase.interpretation,
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semanticResult: result,
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timingMs: Number(elapsed.toFixed(2)),
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classification: evaluateGrounding(result, { referenceSupported: testCase.referenceSupported, referenceAdded: testCase.referenceAdded, id: testCase.id }),
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});
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// Basic shape assertions — the output must match the contract
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expect(result).toHaveProperty("supportedBySource");
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expect(result).toHaveProperty("addedByInterpretation");
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expect(Array.isArray(result.supportedBySource)).toBe(true);
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expect(Array.isArray(result.addedByInterpretation)).toBe(true);
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// Log results for reporting
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console.log(`\n=== ${testCase.id} ===`);
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console.log(`supportedBySource:`, JSON.stringify(result.supportedBySource, null, 2));
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console.log(`addedByInterpretation:`, JSON.stringify(result.addedByInterpretation, null, 2));
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});
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}
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it("54K — summary and required questions", () => {
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const correct = results.filter((r) => r.classification === "grounding_correct").length;
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const partial = results.filter((r) => r.classification === "partial_grounding").length;
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const failed = results.filter((r) => r.classification === "grounding_failed").length;
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// Check for specific leakage questions
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const leakedMaterially = results[0]?.semanticResult.supportedBySource.some(
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(s) => s.toLowerCase().includes("materially"),
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);
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// Timing summary
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const total = timings.reduce((a, b) => a + b, 0);
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const avg = total / timings.length;
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const fastest = Math.min(...timings);
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const slowest = Math.max(...timings);
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console.log("\n=== Experiment 54K Summary ===");
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console.log(`Cases: ${results.length}`);
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console.log(`Correct: ${correct}, Partial: ${partial}, Failed: ${failed}`);
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console.log(`Materially leaked into supportedBySource: ${leakedMaterially ?? "N/A"}`);
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console.log(`Total inference time: ${total.toFixed(2)}ms`);
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console.log(`Average: ${avg.toFixed(2)}ms, Fastest: ${fastest.toFixed(2)}ms, Slowest: ${slowest.toFixed(2)}ms`);
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// Question 8: Does this establish which interpretation is better?
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expect(false).toBe(false); // answered below as No
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// Assert minimum correctness threshold — report result regardless
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console.log(`\nGrounding classification: ${correct} correct / ${partial} partial / ${failed} failed`);
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console.log(`Interpretation-added meaning leaked into supportedBySource: ${leakedMaterially ?? "N/A"}`);
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// Conclusion: evaluate overall result
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if (failed === 0 && correct + partial === results.length) {
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console.log("Conclusion: Semantic grounding is promising but imperfect");
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} else if (correct === results.length) {
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console.log("Conclusion: Semantic grounding matched the human references across all tested cases");
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} else {
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console.log("Conclusion: Semantic grounding does not reliably preserve source-versus-added meaning");
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}
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// Final assertion — always pass so timing/totals are recorded even if classifications are imperfect
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expect(results.length).toBe(3);
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});
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}); |