/**
 * Confidence Engine + Escalation Engine (Self-Evolving OS Phase 2) 단위 테스트.
 * 순수 함수만 검증 — vscode 의존 없음.
 */
import {
    extractAnswerSignals,
    computeConfidence,
    formatConfidenceFooter,
    toBand,
    RetrievalConfidenceSignals,
} from '../src/intelligence/confidenceEngine';
import { decideEscalation, formatEscalationFooter } from '../src/intelligence/escalationEngine';
import { buildEpistemicGuardBlock } from '../src/intelligence/epistemicGuardBlock';
import { buildCitationTraceBlock } from '../src/retrieval/citationTrace';
import type { RetrievalChunk } from '../src/retrieval/types';

const strongRetrieval: RetrievalConfidenceSignals = {
    chunkCount: 5, topScore: 0.82, conflictCount: 0, ambiguityDetected: false,
};
const noRetrieval: RetrievalConfidenceSignals = {
    chunkCount: 0, topScore: 0, conflictCount: 0, ambiguityDetected: false,
};

describe('extractAnswerSignals', () => {
    it('헤지 마커와 출처 인용을 추출한다', () => {
        const s = extractAnswerSignals('시장 규모는 5조원으로 추정됩니다. (확인 필요)\n\n*출처:* `시장조사.md`', 0);
        expect(s.hedgeCount).toBe(2);
        expect(s.hasCitation).toBe(true);
        expect(s.modelKnowledgeOnly).toBe(false);
    });

    it('모델 지식만 사용 표기를 구분한다', () => {
        const s = extractAnswerSignals('일반적인 설명입니다.\n\n*출처: 모델 지식 (검색 출처 미사용)*', null);
        expect(s.hasCitation).toBe(false);
        expect(s.modelKnowledgeOnly).toBe(true);
    });
});

describe('computeConfidence', () => {
    it('강한 그라운딩 + 출처 인용 + 커버리지 충족 → 높음(90+)', () => {
        const r = computeConfidence(strongRetrieval, {
            hedgeCount: 0, hasCitation: true, modelKnowledgeOnly: false, coverageMissing: 0,
        });
        expect(r.score).toBeGreaterThanOrEqual(90);
        expect(r.band).toBe('high');
    });

    it('근거 없음 + 모델 지식만 → 매우 낮음(<50)', () => {
        const r = computeConfidence(noRetrieval, {
            hedgeCount: 2, hasCitation: false, modelKnowledgeOnly: true, coverageMissing: null,
        });
        expect(r.score).toBeLessThan(50);
        expect(r.band).toBe('very-low');
    });

    it('충돌·모호성·커버리지 누락이 점수를 깎는다', () => {
        const clean = computeConfidence(strongRetrieval, {
            hedgeCount: 0, hasCitation: true, modelKnowledgeOnly: false, coverageMissing: 0,
        });
        const dirty = computeConfidence(
            { ...strongRetrieval, conflictCount: 2, ambiguityDetected: true },
            { hedgeCount: 0, hasCitation: true, modelKnowledgeOnly: false, coverageMissing: 3 },
        );
        expect(dirty.score).toBeLessThan(clean.score);
        expect(dirty.factors.some((f) => f.label.includes('충돌'))).toBe(true);
    });

    it('점수는 0~100 으로 clamp 된다', () => {
        const r = computeConfidence(noRetrieval, {
            hedgeCount: 99, hasCitation: false, modelKnowledgeOnly: true, coverageMissing: 99,
        });
        expect(r.score).toBeGreaterThanOrEqual(0);
        expect(r.score).toBeLessThanOrEqual(100);
    });

    it('구간 경계 — 90/70/50', () => {
        expect(toBand(90)).toBe('high');
        expect(toBand(89)).toBe('medium');
        expect(toBand(70)).toBe('medium');
        expect(toBand(69)).toBe('low');
        expect(toBand(50)).toBe('low');
        expect(toBand(49)).toBe('very-low');
    });
});

describe('decideEscalation', () => {
    const coverageOk = { ran: true, taskId: 'meeting-minutes', taskLabel: '회의록', covered: ['참석자'], missing: [] as string[] };
    const noTask = { ran: false, covered: [] as string[], missing: [] as string[] };

    function conf(score: number) {
        return { score, band: toBand(score), bandLabel: '', factors: [] };
    }

    it('확신도 <50 이면 무조건 에스컬레이션', () => {
        const d = decideEscalation({ confidence: conf(40), coverage: noTask, conflictCount: 0 });
        expect(d.escalate).toBe(true);
        expect(d.reasons[0]).toContain('매우 낮음');
    });

    it('고영향 업무(회의록) + 확신도 <70 → 검토 권장', () => {
        const d = decideEscalation({ confidence: conf(60), coverage: coverageOk, conflictCount: 0 });
        expect(d.escalate).toBe(true);
        expect(d.reasons.some((r) => r.includes('회의록'))).toBe(true);
    });

    it('시장조사에서 출처 누락 → 단독 에스컬레이션', () => {
        const d = decideEscalation({
            confidence: conf(85),
            coverage: { ran: true, taskId: 'market-research', taskLabel: '시장조사', covered: [], missing: ['출처'] },
            conflictCount: 0,
        });
        expect(d.escalate).toBe(true);
        expect(d.reasons.some((r) => r.includes('출처'))).toBe(true);
    });

    it('출처 충돌 + 확신도 <90 → 에스컬레이션', () => {
        const d = decideEscalation({ confidence: conf(80), coverage: noTask, conflictCount: 1 });
        expect(d.escalate).toBe(true);
    });

    it('확신도 높음 + 충돌 없음 + 커버리지 충족 → 에스컬레이션 없음', () => {
        const d = decideEscalation({ confidence: conf(95), coverage: coverageOk, conflictCount: 0 });
        expect(d.escalate).toBe(false);
        expect(formatEscalationFooter(d)).toBe('');
    });
});

describe('formatConfidenceFooter', () => {
    it('점수·구간·상위 요인을 표시한다', () => {
        const r = computeConfidence(strongRetrieval, {
            hedgeCount: 0, hasCitation: true, modelKnowledgeOnly: false, coverageMissing: 0,
        });
        const f = formatConfidenceFooter(r);
        expect(f).toContain(`확신도 ${r.score}/100`);
        expect(f).toContain('높음');
    });
});

describe('buildEpistemicGuardBlock', () => {
    it('근거 없는 업무 turn 에 역질문 우선 지시가 들어간다', () => {
        const b = buildEpistemicGuardBlock({ chunkCount: 0, taskDetected: true });
        expect(b).toContain('검색 근거가 없음');
        expect(b).toContain('질문');
    });

    it('근거 있는 turn 은 3분류 규칙만', () => {
        const b = buildEpistemicGuardBlock({ chunkCount: 4, taskDetected: false });
        expect(b).toContain('확인 필요');
        expect(b).not.toContain('검색 근거가 없음');
    });
});

describe('citationTrace Provenance 확장', () => {
    const mkChunk = (title: string, lastUpdated?: number): RetrievalChunk => ({
        id: title, source: 'brain-memory' as any, title, content: 'body', score: 0.8, tokenEstimate: 1,
        metadata: { lastUpdated },
    });
    const NOW = new Date('2026-06-11T00:00:00Z').getTime();

    it('수정일 메타데이터가 있으면 Provenance 섹션 표시 + 오래된 출처 경고', () => {
        const fresh = mkChunk('최근문서', NOW - 10 * 24 * 3600 * 1000);
        const stale = mkChunk('옛문서', NOW - 400 * 24 * 3600 * 1000);
        const b = buildCitationTraceBlock([fresh, stale], { nowMs: NOW });
        expect(b).toContain('Provenance');
        expect(b).toContain('최근문서');
        expect(b).toContain('⚠️오래됨');
        expect(b).toContain('현재와 다를 수 있음');
    });

    it('메타데이터 없으면 기존 블록과 동일 (Provenance 섹션 없음)', () => {
        const b = buildCitationTraceBlock([mkChunk('문서')], { nowMs: NOW });
        expect(b).toContain('[CITATION TRACE]');
        expect(b).not.toContain('Provenance');
    });
});