refactor: PAAI Clawdbot 호출 방식 개선

- HTTP API → WebSocket Gateway 방식으로 변경
- clawdbot_client.py의 ask_clawdbot() 함수 활용
- 시스템 프롬프트 분리

backend/pmr_api.py

@@ -1111,52 +1111,48 @@ def build_paai_prompt(
 
 
 def call_clawdbot_ai(prompt: str) -> dict:
-    """Clawdbot AI 호출 (HTTP API)"""
+    """Clawdbot AI 호출 (WebSocket Gateway)"""
-    import requests as http_requests
     import json
+    import re
+    from services.clawdbot_client import ask_clawdbot
+    
+    PAAI_SYSTEM_PROMPT = """당신은 경험 많은 약사입니다.
+처방 데이터를 분석하여 약사에게 유용한 정보를 제공합니다.
+반드시 요청된 JSON 형식으로만 응답하세요."""
     
     try:
-        # Clawdbot Gateway API 호출
+        # Clawdbot Gateway WebSocket API 호출
-        response = http_requests.post(
+        ai_text = ask_clawdbot(
-            'http://localhost:8765/api/chat',
+            message=prompt,
-            json={
+            session_id='paai-analysis',
-                'message': prompt,
+            system_prompt=PAAI_SYSTEM_PROMPT,
-                'session': 'paai-analysis',
+            timeout=60,
-                'timeout': 60
+            model='anthropic/claude-sonnet-4-5'  # 빠른 Sonnet 사용
-            },
-            timeout=65
         )
         
-        if response.status_code == 200:
+        if not ai_text:
-            result = response.json()
+            logging.warning("[PAAI] Clawdbot 응답 없음")
-            # AI 응답에서 JSON 파싱 시도
+            return generate_fallback_response(prompt)
-            ai_text = result.get('response', '')
+        
+        # JSON 블록 추출
+        try:
+            json_match = re.search(r'\{[\s\S]*\}', ai_text)
+            if json_match:
+                return json.loads(json_match.group())
+        except Exception as parse_err:
+            logging.warning(f"[PAAI] JSON 파싱 실패: {parse_err}")
+        
+        # JSON 파싱 실패 시 텍스트 그대로 반환
+        return {
+            'prescription_insight': ai_text[:500] if ai_text else '분석 결과 없음',
+            'kims_analysis': '',
+            'cautions': [],
+            'otc_recommendations': [],
+            'counseling_points': []
+        }
             
-            # JSON 블록 추출
-            try:
-                import re
-                json_match = re.search(r'\{[\s\S]*\}', ai_text)
-                if json_match:
-                    return json.loads(json_match.group())
-            except:
-                pass
-            
-            # JSON 파싱 실패 시 텍스트 그대로 반환
-            return {
-                'prescription_insight': ai_text[:200] if ai_text else '분석 결과 없음',
-                'kims_analysis': '',
-                'cautions': [],
-                'otc_recommendations': [],
-                'counseling_points': []
-            }
-        else:
-            raise Exception(f"Clawdbot API 오류: {response.status_code}")
-            
-    except http_requests.exceptions.ConnectionError:
-        # Clawdbot 연결 안됨 - 기본 응답 생성
-        return generate_fallback_response(prompt)
     except Exception as e:
-        logging.error(f"Clawdbot AI 호출 오류: {e}")
+        logging.error(f"[PAAI] Clawdbot AI 호출 오류: {e}")
         return generate_fallback_response(prompt)
 
 
@@ -1193,3 +1189,132 @@ def paai_feedback():
     except Exception as e:
         logging.error(f"PAAI 피드백 저장 오류: {e}")
         return jsonify({'success': False, 'error': str(e)}), 500
+
+
+# ────────────────────────────────────────────────────────────────────────────────
+# PAAI 어드민 페이지
+# ────────────────────────────────────────────────────────────────────────────────
+
+@pmr_bp.route('/admin')
+def paai_admin_page():
+    """PAAI 어드민 대시보드 페이지"""
+    return render_template('pmr_admin.html')
+
+
+@pmr_bp.route('/api/admin/stats')
+def paai_admin_stats():
+    """PAAI 통계 API"""
+    from db.paai_logger import get_stats
+    
+    try:
+        stats = get_stats()
+        return jsonify({'success': True, 'stats': stats})
+    except Exception as e:
+        logging.error(f"PAAI 통계 조회 오류: {e}")
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+
+@pmr_bp.route('/api/admin/logs')
+def paai_admin_logs():
+    """PAAI 로그 목록 API"""
+    from db.paai_logger import get_recent_logs
+    
+    try:
+        limit = request.args.get('limit', 50, type=int)
+        status = request.args.get('status')
+        has_severe = request.args.get('has_severe')
+        date = request.args.get('date')
+        patient_name = request.args.get('patient_name')
+        
+        # has_severe 파싱
+        if has_severe == 'true':
+            has_severe = True
+        elif has_severe == 'false':
+            has_severe = False
+        else:
+            has_severe = None
+        
+        logs = get_recent_logs(
+            limit=limit,
+            status=status,
+            has_severe=has_severe,
+            date=date
+        )
+        
+        # 환자명 필터링 (클라이언트 사이드에서 하기엔 데이터가 많을 수 있음)
+        if patient_name:
+            logs = [log for log in logs if patient_name.lower() in (log.get('patient_name') or '').lower()]
+        
+        return jsonify({'success': True, 'logs': logs, 'count': len(logs)})
+        
+    except Exception as e:
+        logging.error(f"PAAI 로그 조회 오류: {e}")
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+
+@pmr_bp.route('/api/admin/log/<int:log_id>')
+def paai_admin_log_detail(log_id):
+    """PAAI 로그 상세 API"""
+    from db.paai_logger import get_log_detail
+    
+    try:
+        log = get_log_detail(log_id)
+        if not log:
+            return jsonify({'success': False, 'error': '로그를 찾을 수 없습니다'}), 404
+        
+        return jsonify({'success': True, 'log': log})
+        
+    except Exception as e:
+        logging.error(f"PAAI 로그 상세 조회 오류: {e}")
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+
+@pmr_bp.route('/api/admin/feedback-stats')
+def paai_admin_feedback_stats():
+    """피드백 통계 API (일별)"""
+    from db.paai_logger import DB_PATH
+    import sqlite3
+    from datetime import datetime, timedelta
+    
+    try:
+        if not DB_PATH.exists():
+            return jsonify({'success': True, 'stats': []})
+        
+        conn = sqlite3.connect(str(DB_PATH))
+        cursor = conn.cursor()
+        
+        # 최근 30일 일별 통계
+        cursor.execute("""
+            SELECT 
+                DATE(created_at) as date,
+                COUNT(*) as total,
+                SUM(CASE WHEN feedback_useful = 1 THEN 1 ELSE 0 END) as useful,
+                SUM(CASE WHEN feedback_useful = 0 THEN 1 ELSE 0 END) as not_useful,
+                SUM(CASE WHEN feedback_useful IS NULL THEN 1 ELSE 0 END) as no_feedback,
+                SUM(CASE WHEN kims_has_severe = 1 THEN 1 ELSE 0 END) as severe,
+                AVG(ai_response_time_ms) as avg_ai_time
+            FROM paai_logs
+            WHERE created_at >= date('now', '-30 days')
+            GROUP BY DATE(created_at)
+            ORDER BY date DESC
+        """)
+        
+        rows = cursor.fetchall()
+        stats = []
+        for row in rows:
+            stats.append({
+                'date': row[0],
+                'total': row[1],
+                'useful': row[2] or 0,
+                'not_useful': row[3] or 0,
+                'no_feedback': row[4] or 0,
+                'severe': row[5] or 0,
+                'avg_ai_time': int(row[6]) if row[6] else 0
+            })
+        
+        conn.close()
+        return jsonify({'success': True, 'stats': stats})
+        
+    except Exception as e:
+        logging.error(f"피드백 통계 조회 오류: {e}")
+        return jsonify({'success': False, 'error': str(e)}), 500