Jesse_Chen
46 lines
1.7 KiB
TypeScript
46 lines
1.7 KiB
TypeScript
import assert from "node:assert/strict";
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import { readFileSync } from "node:fs";
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import test from "node:test";
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import { resolve } from "node:path";
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import { extractLifeEventEvidence } from "../src/lib/conversational-rectification/evidence-extractor.ts";
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type ReplayManifest = {
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readonly cases: readonly {
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readonly case_id: string;
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readonly disclosure_order: readonly {
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readonly event_id: string;
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readonly user_utterance: string;
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readonly expected_extraction: {
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readonly date_value: string | null;
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readonly date_precision: "day" | "month" | "year" | "unknown";
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readonly domain: string;
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readonly scoreable: boolean;
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};
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}[];
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}[];
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};
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const manifestPath = resolve(
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process.cwd(),
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"../references/real_case_calibration/conversational_rectification_development_v1.json",
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);
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const manifest = JSON.parse(readFileSync(manifestPath, "utf8")) as ReplayManifest;
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for (const replayCase of manifest.cases) {
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for (const [index, disclosure] of replayCase.disclosure_order.entries()) {
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test(`extracts public replay utterance ${replayCase.case_id}/${disclosure.event_id}`, () => {
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const evidence = extractLifeEventEvidence({
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rawText: disclosure.user_utterance,
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sourceTurnId: `00000000-0000-4000-8000-${String(index + 1).padStart(12, "0")}`,
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asOfDate: "2026-07-22",
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});
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assert.equal(evidence.length, 1);
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assert.equal(evidence[0]?.dateValue, disclosure.expected_extraction.date_value);
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assert.equal(evidence[0]?.datePrecision, disclosure.expected_extraction.date_precision);
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assert.equal(evidence[0]?.domain, disclosure.expected_extraction.domain);
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assert.equal(evidence[0]?.scoreable, disclosure.expected_extraction.scoreable);
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});
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}
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}
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