feat: clawdbot 클라이언트 추가 및 DB/앱 업데이트

- clawdbot_client.py: 챗봇 연동 클라이언트 - db_setup.py, pet_recommend_app.py 수정 - .gitignore: _dev_scripts/ 제외 추가 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-06 18:18:14 +09:00
parent b66129b5d0
commit 297dd8e601
4 changed files with 1283 additions and 13 deletions
--- a/pet_recommend_app.py
+++ b/pet_recommend_app.py
@@ -8,21 +8,34 @@
 from flask import Flask, render_template_string, request, jsonify
 from db_setup import (
    session, APDB, Inventory, ComponentCode, Symptoms, SymptomComponentMapping, DosageInfo,
-    SupplementaryProduct, UnifiedProductRecommendation, SymptomSupplementaryRecommendation, InventorySupplementary
+    SupplementaryProduct, UnifiedProductRecommendation, SymptomSupplementaryRecommendation, InventorySupplementary,
+    RecommendationLog, EvidenceReference
 )
-from sqlalchemy import distinct, and_, or_
+from sqlalchemy import distinct, and_, or_, desc
 from concurrent.futures import ThreadPoolExecutor
-import openai
 import re
+import time
+import uuid
+from datetime import datetime, timedelta

-app = Flask(__name__)
+# AI 설정: OpenAI (즉시응답) + Clawdbot (백그라운드 심층분석)
+import openai
+import threading

-# ============================================================
-# OpenAI API 설정
-# ============================================================
 OPENAI_API_KEY = "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"
 openai.api_key = OPENAI_API_KEY

+# Clawdbot (백그라운드 Opus 분석용)
+try:
+    from clawdbot_client import ask_clawdbot
+    CLAWDBOT_AVAILABLE = True
+except ImportError:
+    ask_clawdbot = None
+    CLAWDBOT_AVAILABLE = False
+    print("[WARNING] clawdbot_client 모듈 없음. 백그라운드 Opus 분석 불가.")
+
+app = Flask(__name__)
+
 # ============================================================
 # MDR-1 유전자 변이 관련 설정
 # ============================================================
@@ -303,7 +316,7 @@ def calculate_recommended_dosage(product_idx, weight_kg, animal_type):


 def generate_recommendation_reason(animal_type, symptom_descriptions, product_name, component_name, llm_pharm, efficacy_clean, component_code=None, symptom_codes=None):
-    """GPT-4o-mini로 추천 이유 생성"""
+    """OpenAI GPT-4o-mini로 즉시 추천 이유 생성 (빠른 응답)"""
    try:
        # 한글 동물 타입
        animal_ko = '강아지' if animal_type == 'dog' else '고양이'
@@ -368,6 +381,7 @@ def generate_recommendation_reason(animal_type, symptom_descriptions, product_na
        # 복합 성분 제품은 더 긴 응답 허용
        max_tok = 280 if is_complex_formula else 120

+        # OpenAI GPT-4o-mini (빠른 응답)
        client = openai.OpenAI(api_key=OPENAI_API_KEY)
        response = client.chat.completions.create(
            model="gpt-4o-mini",
@@ -2608,13 +2622,49 @@ def recommend():

        unique_recommendations = weight_filtered_recommendations

-        # 응답에서 불필요한 필드 제거
+        # 응답에서 불필요한 필드 제거 (로그 저장용 데이터 먼저 추출)
+        log_products = []
        for rec in unique_recommendations:
+            log_products.append({
+                'product_name': rec.get('name'),  # 키가 'name'임
+                'component_name': rec.get('component_name'),
+                'reason': rec.get('reason', '')[:500]  # 로그용 요약
+            })
            rec.pop('llm_pharm', None)
            rec.pop('efficacy_clean', None)
            rec.pop('component_code', None)
            rec.pop('product_idx', None)  # 용량 계산 후 제거

+        # === 로그 저장 ===
+        try:
+            log_entry = RecommendationLog(
+                session_id=str(uuid.uuid4())[:8],
+                animal_type=animal_type,
+                breed=breed,
+                weight_kg=weight_kg,
+                pregnancy_status=pregnancy,
+                symptoms=symptom_codes,
+                symptom_descriptions=symptom_descriptions,
+                matched_products=log_products,
+                product_count=len(unique_recommendations),
+                gpt_response=log_products[0].get('reason') if log_products else None,
+                client_ip=request.remote_addr,
+                user_agent=request.headers.get('User-Agent', '')[:500]
+            )
+            session.add(log_entry)
+            session.commit()
+            
+            # 백그라운드 Opus 분석 트리거 (비동기)
+            if CLAWDBOT_AVAILABLE and log_products:
+                threading.Thread(
+                    target=background_opus_analysis,
+                    args=(log_entry.id, animal_type, symptom_descriptions, log_products),
+                    daemon=True
+                ).start()
+        except Exception as log_error:
+            print(f"[LOG] 저장 실패: {log_error}")
+            session.rollback()
+
        return jsonify({
            'success': True,
            'animal_type': animal_type,
@@ -2633,6 +2683,57 @@ def recommend():
        })


+# ============================================================
+# 백그라운드 Opus 분석
+# ============================================================
+def background_opus_analysis(log_id, animal_type, symptom_descriptions, products):
+    """백그라운드에서 Claude Opus로 심층 분석 실행"""
+    try:
+        start_time = time.time()
+        animal_ko = '강아지' if animal_type == 'dog' else '고양이'
+        
+        product_list = "\n".join([
+            f"- {p['product_name']} ({p['component_name']})"
+            for p in products[:5]  # 최대 5개
+        ])
+        
+        prompt = f"""반려동물 약사로서 아래 상황을 심층 분석해주세요.
+
+동물: {animal_ko}
+증상: {', '.join(symptom_descriptions)}
+추천된 제품:
+{product_list}
+
+다음을 분석해주세요:
+1. 추천된 제품들의 적합성 평가
+2. 각 제품의 작용 기전 설명
+3. 잠재적 부작용/주의사항
+4. 제품 간 상호작용 여부
+5. 추가 권장 사항
+
+전문적이고 상세하게 답변해주세요."""
+
+        opus_response = ask_clawdbot(
+            prompt,
+            session_id=f"opus-analysis-{log_id}",
+            system_prompt="당신은 동물약학 전문가입니다. 심층적이고 근거 기반의 분석을 제공합니다.",
+            timeout=120
+        )
+        
+        elapsed_ms = int((time.time() - start_time) * 1000)
+        
+        # DB 업데이트
+        log_entry = session.query(RecommendationLog).filter_by(id=log_id).first()
+        if log_entry and opus_response:
+            log_entry.opus_response = opus_response
+            log_entry.opus_response_time_ms = elapsed_ms
+            log_entry.opus_analyzed_at = datetime.utcnow()
+            session.commit()
+            print(f"[OPUS] 분석 완료 (log_id={log_id}, {elapsed_ms}ms)")
+    except Exception as e:
+        print(f"[OPUS] 분석 실패: {e}")
+
+
@app.route('/api/recommend_by_category', methods=['POST'])
 def recommend_by_category():
    """제품군 기반 추천 API"""
@@ -3104,16 +3205,474 @@ def get_symptom_supplementary_recommendations():
        })


+# ============================================================
+# Admin 페이지 - 추천 로그 조회
+# ============================================================
+
+ADMIN_HTML = '''
+<!DOCTYPE html>
+<html lang="ko">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>동물약 추천 - 관리자</title>
+    <style>
+        * { margin: 0; padding: 0; box-sizing: border-box; }
+        body {
+            font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;
+            background: #f5f5f5;
+            padding: 20px;
+        }
+        .container { max-width: 1400px; margin: 0 auto; }
+        .header {
+            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+            color: white;
+            padding: 20px;
+            border-radius: 12px;
+            margin-bottom: 20px;
+        }
+        .header h1 { font-size: 24px; margin-bottom: 8px; }
+        .stats {
+            display: grid;
+            grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
+            gap: 16px;
+            margin-bottom: 20px;
+        }
+        .stat-card {
+            background: white;
+            padding: 20px;
+            border-radius: 12px;
+            box-shadow: 0 2px 8px rgba(0,0,0,0.1);
+        }
+        .stat-card h3 { color: #666; font-size: 14px; margin-bottom: 8px; }
+        .stat-card .value { font-size: 32px; font-weight: bold; color: #333; }
+        .stat-card .sub { font-size: 12px; color: #999; margin-top: 4px; }
+        .log-table {
+            background: white;
+            border-radius: 12px;
+            overflow: hidden;
+            box-shadow: 0 2px 8px rgba(0,0,0,0.1);
+        }
+        .log-table table { width: 100%; border-collapse: collapse; }
+        .log-table th, .log-table td {
+            padding: 12px 16px;
+            text-align: left;
+            border-bottom: 1px solid #eee;
+        }
+        .log-table th { background: #f8f9fa; font-weight: 600; color: #333; }
+        .log-table tr:hover { background: #f8f9fa; }
+        .badge {
+            display: inline-block;
+            padding: 4px 8px;
+            border-radius: 4px;
+            font-size: 12px;
+            font-weight: 500;
+        }
+        .badge-dog { background: #e3f2fd; color: #1976d2; }
+        .badge-cat { background: #fce4ec; color: #c2185b; }
+        .badge-opus { background: #e8f5e9; color: #388e3c; }
+        .badge-pending { background: #fff3e0; color: #f57c00; }
+        .symptom-tag {
+            display: inline-block;
+            background: #f0f0f0;
+            padding: 2px 6px;
+            border-radius: 4px;
+            font-size: 11px;
+            margin: 2px;
+        }
+        .product-list { font-size: 13px; color: #666; }
+        .expand-btn {
+            background: none;
+            border: 1px solid #ddd;
+            padding: 4px 8px;
+            border-radius: 4px;
+            cursor: pointer;
+            font-size: 12px;
+        }
+        .expand-btn:hover { background: #f0f0f0; }
+        .modal {
+            display: none;
+            position: fixed;
+            top: 0;
+            left: 0;
+            width: 100%;
+            height: 100%;
+            background: rgba(0,0,0,0.5);
+            z-index: 1000;
+        }
+        .modal.active { display: flex; align-items: center; justify-content: center; }
+        .modal-content {
+            background: white;
+            padding: 24px;
+            border-radius: 12px;
+            max-width: 800px;
+            max-height: 80vh;
+            overflow-y: auto;
+            width: 90%;
+        }
+        .modal-header {
+            display: flex;
+            justify-content: space-between;
+            align-items: center;
+            margin-bottom: 16px;
+        }
+        .modal-close {
+            background: none;
+            border: none;
+            font-size: 24px;
+            cursor: pointer;
+            color: #666;
+        }
+        .comparison {
+            display: grid;
+            grid-template-columns: 1fr 1fr;
+            gap: 16px;
+            margin-top: 16px;
+        }
+        .comparison-box {
+            background: #f8f9fa;
+            padding: 16px;
+            border-radius: 8px;
+        }
+        .comparison-box h4 { margin-bottom: 8px; color: #333; }
+        .comparison-box pre {
+            white-space: pre-wrap;
+            font-size: 13px;
+            line-height: 1.5;
+        }
+        .refresh-btn {
+            background: #667eea;
+            color: white;
+            border: none;
+            padding: 10px 20px;
+            border-radius: 8px;
+            cursor: pointer;
+            font-size: 14px;
+        }
+        .refresh-btn:hover { background: #5a67d8; }
+        .time-ago { color: #999; font-size: 12px; }
+    </style>
+</head>
+<body>
+    <div class="container">
+        <div class="header">
+            <h1>🐾 동물약 추천 관리자</h1>
+            <p>추천 조회 로그 및 GPT vs Opus 비교</p>
+        </div>
+        
+        <div class="stats" id="stats">
+            <div class="stat-card">
+                <h3>오늘 조회</h3>
+                <div class="value" id="today-count">-</div>
+                <div class="sub">건</div>
+            </div>
+            <div class="stat-card">
+                <h3>전체 조회</h3>
+                <div class="value" id="total-count">-</div>
+                <div class="sub">건</div>
+            </div>
+            <div class="stat-card">
+                <h3>Opus 분석 완료</h3>
+                <div class="value" id="opus-count">-</div>
+                <div class="sub">건</div>
+            </div>
+            <div class="stat-card">
+                <h3>강아지 / 고양이</h3>
+                <div class="value" id="animal-ratio">-</div>
+                <div class="sub">비율</div>
+            </div>
+        </div>
+        
+        <div style="margin-bottom: 16px; display: flex; gap: 12px; align-items: center;">
+            <button class="refresh-btn" onclick="loadLogs()">🔄 새로고침</button>
+            <select id="filterAnimal" onchange="loadLogs()" style="padding: 8px 12px; border-radius: 8px; border: 1px solid #ddd;">
+                <option value="">전체 동물</option>
+                <option value="dog">🐕 강아지</option>
+                <option value="cat">🐱 고양이</option>
+            </select>
+            <select id="filterOpus" onchange="loadLogs()" style="padding: 8px 12px; border-radius: 8px; border: 1px solid #ddd;">
+                <option value="">전체</option>
+                <option value="completed">Opus 완료</option>
+                <option value="pending">Opus 대기중</option>
+            </select>
+        </div>
+        
+        <div class="log-table">
+            <table>
+                <thead>
+                    <tr>
+                        <th>시간</th>
+                        <th>동물</th>
+                        <th>체중</th>
+                        <th>증상</th>
+                        <th>추천 제품</th>
+                        <th>Opus</th>
+                        <th>상세</th>
+                    </tr>
+                </thead>
+                <tbody id="log-body">
+                    <tr><td colspan="7" style="text-align:center; padding: 40px;">로딩 중...</td></tr>
+                </tbody>
+            </table>
+        </div>
+    </div>
+    
+    <div class="modal" id="detailModal">
+        <div class="modal-content">
+            <div class="modal-header">
+                <h2>📋 상세 정보</h2>
+                <button class="modal-close" onclick="closeModal()">&times;</button>
+            </div>
+            <div id="modal-body"></div>
+        </div>
+    </div>
+    
+    <script>
+        function timeAgo(dateStr) {
+            const date = new Date(dateStr);
+            const now = new Date();
+            const diff = Math.floor((now - date) / 1000);
+            
+            if (diff < 60) return `${diff}초 전`;
+            if (diff < 3600) return `${Math.floor(diff/60)}분 전`;
+            if (diff < 86400) return `${Math.floor(diff/3600)}시간 전`;
+            return `${Math.floor(diff/86400)}일 전`;
+        }
+        
+        async function loadLogs() {
+            const animal = document.getElementById('filterAnimal').value;
+            const opus = document.getElementById('filterOpus').value;
+            
+            let url = '/admin/api/logs?limit=50';
+            if (animal) url += `&animal=${animal}`;
+            if (opus) url += `&opus=${opus}`;
+            
+            const res = await fetch(url);
+            const data = await res.json();
+            
+            // Stats
+            document.getElementById('today-count').textContent = data.stats.today;
+            document.getElementById('total-count').textContent = data.stats.total;
+            document.getElementById('opus-count').textContent = data.stats.opus_completed;
+            document.getElementById('animal-ratio').textContent = 
+                `${data.stats.dog_count} / ${data.stats.cat_count}`;
+            
+            // Table
+            const tbody = document.getElementById('log-body');
+            if (data.logs.length === 0) {
+                tbody.innerHTML = '<tr><td colspan="7" style="text-align:center; padding: 40px;">조회 로그가 없습니다.</td></tr>';
+                return;
+            }
+            
+            tbody.innerHTML = data.logs.map(log => `
+                <tr>
+                    <td>
+                        <div>${new Date(log.created_at).toLocaleString('ko-KR')}</div>
+                        <div class="time-ago">${timeAgo(log.created_at)}</div>
+                    </td>
+                    <td>
+                        <span class="badge badge-${log.animal_type}">
+                            ${log.animal_type === 'dog' ? '🐕 강아지' : '🐱 고양이'}
+                        </span>
+                        ${log.breed ? `<div style="font-size:11px; color:#666;">${log.breed}</div>` : ''}
+                    </td>
+                    <td>${log.weight_kg ? log.weight_kg + 'kg' : '-'}</td>
+                    <td>
+                        ${(log.symptom_descriptions || []).slice(0, 3).map(s => 
+                            `<span class="symptom-tag">${s.length > 15 ? s.slice(0,15) + '...' : s}</span>`
+                        ).join('')}
+                        ${(log.symptom_descriptions || []).length > 3 ? `<span class="symptom-tag">+${log.symptom_descriptions.length - 3}</span>` : ''}
+                    </td>
+                    <td class="product-list">
+                        ${log.product_count}개 추천
+                        ${log.matched_products && log.matched_products[0] ? 
+                            `<div style="font-size:11px; color:#333;">${log.matched_products[0].product_name}</div>` : ''}
+                    </td>
+                    <td>
+                        ${log.opus_response ? 
+                            '<span class="badge badge-opus">✓ 완료</span>' : 
+                            '<span class="badge badge-pending">대기중</span>'}
+                    </td>
+                    <td>
+                        <button class="expand-btn" onclick="showDetail(${log.id})">상세</button>
+                    </td>
+                </tr>
+            `).join('');
+        }
+        
+        async function showDetail(logId) {
+            const res = await fetch(`/admin/api/logs/${logId}`);
+            const log = await res.json();
+            
+            const modal = document.getElementById('detailModal');
+            const body = document.getElementById('modal-body');
+            
+            body.innerHTML = `
+                <div style="margin-bottom: 16px;">
+                    <strong>입력 정보:</strong>
+                    <div style="background: #f8f9fa; padding: 12px; border-radius: 8px; margin-top: 8px;">
+                        동물: ${log.animal_type === 'dog' ? '🐕 강아지' : '🐱 고양이'}
+                        ${log.breed ? ` (${log.breed})` : ''}<br>
+                        체중: ${log.weight_kg || '-'}kg<br>
+                        증상: ${(log.symptom_descriptions || []).join(', ')}
+                    </div>
+                </div>
+                
+                <div style="margin-bottom: 16px;">
+                    <strong>추천된 제품 (${log.product_count}개):</strong>
+                    <div style="background: #f8f9fa; padding: 12px; border-radius: 8px; margin-top: 8px;">
+                        ${(log.matched_products || []).map(p => 
+                            `<div style="margin-bottom: 8px; padding-bottom: 8px; border-bottom: 1px solid #eee;">
+                                <strong>${p.product_name}</strong> (${p.component_name})<br>
+                                <span style="font-size: 13px; color: #666;">${p.reason || ''}</span>
+                            </div>`
+                        ).join('')}
+                    </div>
+                </div>
+                
+                <div class="comparison">
+                    <div class="comparison-box">
+                        <h4>💬 GPT-4o-mini (즉시 응답)</h4>
+                        <pre>${log.gpt_response || '(없음)'}</pre>
+                        ${log.gpt_response_time_ms ? `<div style="margin-top: 8px; font-size: 12px; color: #999;">${log.gpt_response_time_ms}ms</div>` : ''}
+                    </div>
+                    <div class="comparison-box">
+                        <h4>🔬 Claude Opus (심층 분석)</h4>
+                        <pre>${log.opus_response || '(분석 대기중...)'}</pre>
+                        ${log.opus_response_time_ms ? `<div style="margin-top: 8px; font-size: 12px; color: #999;">${log.opus_response_time_ms}ms</div>` : ''}
+                    </div>
+                </div>
+                
+                ${log.evidence_references ? `
+                <div style="margin-top: 16px;">
+                    <strong>📚 근거 자료:</strong>
+                    <div style="background: #f8f9fa; padding: 12px; border-radius: 8px; margin-top: 8px;">
+                        ${JSON.stringify(log.evidence_references, null, 2)}
+                    </div>
+                </div>
+                ` : ''}
+            `;
+            
+            modal.classList.add('active');
+        }
+        
+        function closeModal() {
+            document.getElementById('detailModal').classList.remove('active');
+        }
+        
+        // 초기 로드
+        loadLogs();
+        
+        // 30초마다 자동 새로고침
+        setInterval(loadLogs, 30000);
+    </script>
+</body>
+</html>
+'''
+
+
+@app.route('/admin')
+def admin_page():
+    """관리자 페이지"""
+    return ADMIN_HTML
+
+
+@app.route('/admin/api/logs')
+def admin_get_logs():
+    """관리자 API - 로그 조회"""
+    try:
+        limit = request.args.get('limit', 50, type=int)
+        animal_filter = request.args.get('animal', '')
+        opus_filter = request.args.get('opus', '')
+        
+        query = session.query(RecommendationLog).order_by(desc(RecommendationLog.created_at))
+        
+        if animal_filter:
+            query = query.filter(RecommendationLog.animal_type == animal_filter)
+        
+        if opus_filter == 'completed':
+            query = query.filter(RecommendationLog.opus_response.isnot(None))
+        elif opus_filter == 'pending':
+            query = query.filter(RecommendationLog.opus_response.is_(None))
+        
+        logs = query.limit(limit).all()
+        
+        # 통계
+        today_start = datetime.utcnow().replace(hour=0, minute=0, second=0, microsecond=0)
+        stats = {
+            'total': session.query(RecommendationLog).count(),
+            'today': session.query(RecommendationLog).filter(RecommendationLog.created_at >= today_start).count(),
+            'opus_completed': session.query(RecommendationLog).filter(RecommendationLog.opus_response.isnot(None)).count(),
+            'dog_count': session.query(RecommendationLog).filter(RecommendationLog.animal_type == 'dog').count(),
+            'cat_count': session.query(RecommendationLog).filter(RecommendationLog.animal_type == 'cat').count(),
+        }
+        
+        return jsonify({
+            'logs': [{
+                'id': log.id,
+                'created_at': log.created_at.isoformat() if log.created_at else None,
+                'animal_type': log.animal_type,
+                'breed': log.breed,
+                'weight_kg': log.weight_kg,
+                'symptom_descriptions': log.symptom_descriptions,
+                'matched_products': log.matched_products,
+                'product_count': log.product_count,
+                'opus_response': log.opus_response[:100] + '...' if log.opus_response and len(log.opus_response) > 100 else log.opus_response,
+            } for log in logs],
+            'stats': stats
+        })
+    except Exception as e:
+        print(f"Admin logs error: {e}")
+        return jsonify({'logs': [], 'stats': {}})
+
+
+@app.route('/admin/api/logs/<int:log_id>')
+def admin_get_log_detail(log_id):
+    """관리자 API - 로그 상세 조회"""
+    try:
+        log = session.query(RecommendationLog).filter_by(id=log_id).first()
+        if not log:
+            return jsonify({'error': 'Not found'}), 404
+        
+        return jsonify({
+            'id': log.id,
+            'created_at': log.created_at.isoformat() if log.created_at else None,
+            'animal_type': log.animal_type,
+            'breed': log.breed,
+            'weight_kg': log.weight_kg,
+            'pregnancy_status': log.pregnancy_status,
+            'symptoms': log.symptoms,
+            'symptom_descriptions': log.symptom_descriptions,
+            'matched_products': log.matched_products,
+            'product_count': log.product_count,
+            'gpt_response': log.gpt_response,
+            'gpt_response_time_ms': log.gpt_response_time_ms,
+            'opus_response': log.opus_response,
+            'opus_response_time_ms': log.opus_response_time_ms,
+            'opus_analyzed_at': log.opus_analyzed_at.isoformat() if log.opus_analyzed_at else None,
+            'evidence_references': log.evidence_references,
+            'client_ip': log.client_ip,
+        })
+    except Exception as e:
+        print(f"Admin log detail error: {e}")
+        return jsonify({'error': str(e)}), 500
+
+
 # ============================================================
 # 실행
 # ============================================================

 if __name__ == '__main__':
+    import sys
+    import io
+    sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8', errors='replace')
+    sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8', errors='replace')
+    
    print("=" * 60)
-    print("🐾 동물약 추천 MVP 웹앱")
+    print("[PET] 동물약 추천 MVP 웹앱")
    print("=" * 60)
-    print("접속 주소: http://localhost:7001")
+    print("접속 주소: http://localhost:7002")
    print("종료: Ctrl+C")
    print("=" * 60)

-    app.run(host='0.0.0.0', port=7001, debug=True)
+    app.run(host='0.0.0.0', port=7002, debug=False)