/**
 * Run with: npx ts-node scripts/smokeTestClassifier.ts
 * Verifies the LLM classifier (selected by LLM_PROVIDER) returns valid
 * ClassifiedAction objects against canned plan/task fixtures.
 */
import { createClassifier } from "../src/llm/factory";
import { ClassifierInput } from "../src/llm/types";

const fixtures: { name: string; utterance: string }[] = [
  { name: "create — 새 작업 시작", utterance: "오늘 견적서 초안 작성 시작했어" },
  { name: "update — 진행률 80%", utterance: "API 통합 작업 80%까지 진행했어" },
  { name: "update — 완료", utterance: "디자인 검토 다 끝냈어" },
  { name: "ambiguous — 되묻기 기대", utterance: "그거 했어" },
];

const baseInput: Omit<ClassifierInput, "utterance"> = {
  nowIso: new Date().toISOString(),
  plans: [
    {
      planId: "plan-eng-001",
      planTitle: "엔지니어링",
      buckets: [
        { bucketId: "bkt-eng-todo", bucketTitle: "할 일" },
        { bucketId: "bkt-eng-doing", bucketTitle: "진행 중" },
      ],
    },
    {
      planId: "plan-sales-001",
      planTitle: "영업",
      buckets: [{ bucketId: "bkt-sales-todo", bucketTitle: "견적/제안" }],
    },
  ],
  recentTasks: [
    {
      taskId: "task-api-1",
      title: "API 통합 작업",
      planId: "plan-eng-001",
      bucketId: "bkt-eng-doing",
      percentComplete: 50,
    },
    {
      taskId: "task-design-1",
      title: "디자인 검토",
      planId: "plan-eng-001",
      bucketId: "bkt-eng-doing",
      percentComplete: 70,
    },
  ],
};

async function main() {
  const classifier = createClassifier();
  for (const f of fixtures) {
    process.stdout.write(`\n— ${f.name}\n  발화: "${f.utterance}"\n`);
    try {
      const result = await classifier.classify({ ...baseInput, utterance: f.utterance });
      console.log("  결과:", JSON.stringify(result, null, 2).replace(/\n/g, "\n  "));
    } catch (err) {
      console.log("  ❌ ERROR:", (err as Error).message);
    }
  }
}

main();