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65 lines
2.0 KiB
TypeScript
65 lines
2.0 KiB
TypeScript
/**
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* Run with: npx ts-node scripts/smokeTestClassifier.ts
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* Verifies the LLM classifier (selected by LLM_PROVIDER) returns valid
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* ClassifiedAction objects against canned plan/task fixtures.
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*/
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import { createClassifier } from "../src/llm/factory";
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import { ClassifierInput } from "../src/llm/types";
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const fixtures: { name: string; utterance: string }[] = [
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{ name: "create — 새 작업 시작", utterance: "오늘 견적서 초안 작성 시작했어" },
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{ name: "update — 진행률 80%", utterance: "API 통합 작업 80%까지 진행했어" },
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{ name: "update — 완료", utterance: "디자인 검토 다 끝냈어" },
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{ name: "ambiguous — 되묻기 기대", utterance: "그거 했어" },
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];
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const baseInput: Omit<ClassifierInput, "utterance"> = {
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nowIso: new Date().toISOString(),
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plans: [
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{
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planId: "plan-eng-001",
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planTitle: "엔지니어링",
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buckets: [
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{ bucketId: "bkt-eng-todo", bucketTitle: "할 일" },
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{ bucketId: "bkt-eng-doing", bucketTitle: "진행 중" },
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],
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},
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{
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planId: "plan-sales-001",
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planTitle: "영업",
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buckets: [{ bucketId: "bkt-sales-todo", bucketTitle: "견적/제안" }],
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},
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],
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recentTasks: [
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{
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taskId: "task-api-1",
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title: "API 통합 작업",
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planId: "plan-eng-001",
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bucketId: "bkt-eng-doing",
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percentComplete: 50,
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},
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{
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taskId: "task-design-1",
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title: "디자인 검토",
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planId: "plan-eng-001",
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bucketId: "bkt-eng-doing",
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percentComplete: 70,
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},
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],
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};
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async function main() {
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const classifier = createClassifier();
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for (const f of fixtures) {
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process.stdout.write(`\n— ${f.name}\n 발화: "${f.utterance}"\n`);
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try {
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const result = await classifier.classify({ ...baseInput, utterance: f.utterance });
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console.log(" 결과:", JSON.stringify(result, null, 2).replace(/\n/g, "\n "));
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} catch (err) {
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console.log(" ❌ ERROR:", (err as Error).message);
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}
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}
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}
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main();
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