Jesse_Chen
67 lines
1.9 KiB
TypeScript
67 lines
1.9 KiB
TypeScript
import assert from "node:assert/strict";
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import { randomUUID } from "node:crypto";
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import test from "node:test";
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import { validatedModelAssistedEvidence } from "../src/lib/conversational-rectification/evidence-extractor.ts";
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test("模型辅助提取拒绝 self 与家庭 relatedPerson 的矛盾组合", () => {
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const rawText = "2020年4月老爸进了ICU。";
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const result = validatedModelAssistedEvidence({
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rawText,
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sourceTurnId: randomUUID(),
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asOfDate: "2026-07-29",
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extraction: {
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sourceSpan: "2020年4月老爸进了ICU",
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summary: "老爸进了ICU",
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domain: "health_pressure",
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eventKind: "self_health_event",
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subject: "self",
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relatedPerson: "father",
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dateText: "2020年4月",
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},
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});
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assert.equal(result, null);
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});
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test("明确家庭主体不能被模型伪装为 self scoreable", () => {
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const rawText = "2021年6月家里老人病危。";
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const result = validatedModelAssistedEvidence({
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rawText,
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sourceTurnId: randomUUID(),
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asOfDate: "2026-07-29",
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extraction: {
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sourceSpan: "2021年6月家里老人病危",
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summary: "家里老人病危",
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domain: "health_pressure",
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eventKind: "self_health_event",
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subject: "self",
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relatedPerson: null,
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dateText: "2021年6月",
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},
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});
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assert.equal(result, null);
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});
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test("合法家庭健康事件只作为 context_only", () => {
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const rawText = "2020年4月老爸进了ICU。";
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const result = validatedModelAssistedEvidence({
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rawText,
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sourceTurnId: randomUUID(),
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asOfDate: "2026-07-29",
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extraction: {
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sourceSpan: "2020年4月老爸进了ICU",
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summary: "老爸进了ICU",
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domain: "family",
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eventKind: "family_health_event",
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subject: "family",
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relatedPerson: "father",
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dateText: "2020年4月",
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},
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});
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assert.ok(result);
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assert.equal(result.scoreability, "context_only");
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assert.equal(result.scoreable, false);
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});
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