feat: 동물약 APC 일괄 매핑 (7개 완료)

backend/scripts/debug_rag_prompt.py

@@ -0,0 +1,86 @@
+# -*- coding: utf-8 -*-
+import sys
+import io
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8', errors='replace')
+sys.path.insert(0, 'c:\\Users\\청춘약국\\source\\pharmacy-pos-qr-system\\backend')
+
+from db.dbsetup import get_db_session
+from sqlalchemy import text, create_engine
+
+# 1. _get_animal_drugs 시뮬레이션
+drug_session = get_db_session('PM_DRUG')
+query = text("""
+    SELECT 
+        G.DrugCode,
+        G.GoodsName,
+        G.Saleprice,
+        (
+            SELECT TOP 1 U.CD_CD_BARCODE 
+            FROM CD_ITEM_UNIT_MEMBER U 
+            WHERE U.DRUGCODE = G.DrugCode 
+              AND U.CD_CD_BARCODE LIKE '023%'
+            ORDER BY U.CHANGE_DATE DESC
+        ) AS APC_CODE
+    FROM CD_GOODS G
+    WHERE G.POS_BOON = '010103'
+      AND G.GoodsSelCode = 'B'
+    ORDER BY G.GoodsName
+""")
+rows = drug_session.execute(query).fetchall()
+
+animal_drugs = []
+for r in rows:
+    animal_drugs.append({
+        'code': r.DrugCode,
+        'name': r.GoodsName,
+        'price': float(r.Saleprice) if r.Saleprice else 0,
+        'apc': r.APC_CODE
+    })
+
+# 2. _get_animal_drug_rag 시뮬레이션
+apc_codes = [d['apc'] for d in animal_drugs if d.get('apc')]
+print(f'APC 코드 목록: {apc_codes}\n')
+
+rag_data = {}
+if apc_codes:
+    pg = create_engine('postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master').connect()
+    placeholders = ','.join([f"'{apc}'" for apc in apc_codes])
+    result = pg.execute(text(f"""
+        SELECT apc, product_name, 
+               llm_pharm->>'사용가능 동물' as target_animals,
+               llm_pharm->>'분류' as category,
+               llm_pharm->>'체중/부위' as dosage_weight,
+               llm_pharm->>'기간/용법' as usage_period,
+               llm_pharm->>'월령금기' as age_restriction
+        FROM apc
+        WHERE apc IN ({placeholders})
+    """))
+    for row in result:
+        rag_data[row.apc] = {
+            'target_animals': row.target_animals or '정보 없음',
+            'category': row.category or '',
+            'dosage_weight': row.dosage_weight or '',
+            'usage_period': row.usage_period or '',
+            'age_restriction': row.age_restriction or ''
+        }
+    pg.close()
+
+print(f'RAG 데이터: {rag_data}\n')
+
+# 3. available_products_text 생성
+print('=== AI에 전달되는 제품 목록 (RAG 포함) ===\n')
+for d in animal_drugs:
+    if '안텔민' in d['name']:
+        line = f"- {d['name']} ({d['price']:,.0f}원)"
+        if d.get('apc') and d['apc'] in rag_data:
+            info = rag_data[d['apc']]
+            details = []
+            if info.get('target_animals'):
+                details.append(f"대상: {info['target_animals']}")
+            if info.get('dosage_weight'):
+                details.append(f"용량: {info['dosage_weight']}")
+            if info.get('age_restriction'):
+                details.append(f"금기: {info['age_restriction']}")
+            if details:
+                line += f" [{', '.join(details)}]"
+        print(line)