fix: QR 품목은 MSSQL 수납완료 데이터에서만 조회

- /api/admin/qr/generate에서 client_items 파라미터 추가
- 클라이언트 전달 items 우선, 없으면 MSSQL 조회
- get_sale_items 쿼리 컬럼명 수정 (DrugCode, GoodsName 등)

.gitignore

@@ -86,3 +86,13 @@ docker-compose.override.yml
 tmp/
 *.tmp
 .claude/
+
+# Test/Debug scripts (일회성 분석용)
+backend/scripts/check_*.py
+backend/scripts/find_*.py
+backend/scripts/search_*.py
+backend/scripts/compare_*.py
+backend/scripts/analyze_*.py
+
+# GUI settings (user-specific)
+gui_settings.json

backend/SOOIN_API_REVERSE_ENGINEERING.md

@@ -0,0 +1,277 @@
+# 수인약품 API 리버스 엔지니어링 문서
+
+## 개요
+수인약품 웹 주문 시스템의 API 구조를 분석한 문서입니다.
+지오영 API와 같은 하이브리드 방식 (Playwright 로그인 → requests 직접 호출)으로 구현합니다.
+
+## 기본 정보
+
+- **Base URL**: `http://sooinpharm.co.kr`
+- **인코딩**: EUC-KR (한글 파라미터 인코딩 시 주의)
+- **거래처 코드**: `50911` (청춘약국)
+- **세션 관리**: 쿠키 기반 (ASP 세션)
+
+---
+
+## 1. 로그인
+
+### 로그인 페이지
+- **URL**: `/Homepage/intro.asp`
+- **Method**: POST (JavaScript 함수 `chkLogin()` 호출)
+
+### 필드
+| 필드명 | 설명 | 예시 |
+|--------|------|------|
+| tx_id | 아이디 | thug0bin |
+| tx_pw | 비밀번호 | @Trajet6640 |
+
+### 인증 쿠키
+로그인 성공 시 ASP 세션 쿠키가 발급됨:
+- `ASPSESSIONID*` (세션 ID)
+
+### 로그인 성공 확인
+- 로그인 후 페이지에 "로그아웃" 링크 존재 여부로 확인
+- 로그인 후 자동으로 `/Service/Order/Order.asp`로 리다이렉트
+
+---
+
+## 2. 제품 검색 API
+
+### URL
+```
+GET /Service/Order/Order.asp
+```
+
+### 파라미터
+| 파라미터 | 필수 | 설명 | 값 예시 |
+|----------|------|------|---------|
+| so | N | 제품분류 | 0=전체, 1=전문, 2=일반 |
+| so2 | N | 주문분류 | 0=전체, 1=다빈도, 2=관심, 3=재주문 |
+| so3 | N | 검색타입 | **1=제품명, 2=KD코드, 3=표준코드** |
+| tx_maker | N | 제조사 | 한독 |
+| tx_physic | N | 검색어 | 073100220 (KD코드) |
+| tx_ven | Y | 거래처코드 | 50911 |
+| currVenNm | Y | 약국명 | 청춘약국 (URL인코딩) |
+| sDate | N | 시작일 | 20260306 |
+| eDate | N | 종료일 | 20260306 |
+| sa | N | 정렬 | phy=제품명순, ven=제조사순 |
+| Page | N | 페이지번호 | 1 |
+| tx_StockLoc | N | 재고위치 | '00001' |
+| df | N | 기간필터 | t=3개월 |
+
+### KD코드 검색 예시 URL
+```
+/Service/Order/Order.asp?so=0&so2=0&so3=2&tx_physic=073100220&tx_ven=50911&currVenNm=%EC%B2%AD%EC%B6%98%EC%95%BD%EA%B5%AD&sDate=20260306&eDate=20260306&df=t
+```
+
+### 응답 (HTML)
+HTML 테이블 형식으로 반환. BeautifulSoup로 파싱 필요.
+
+#### 테이블 구조
+```html
+<tr class="ln_physic">
+    <td>073100220</td>           <!-- KD코드 -->
+    <td>한국오가논</td>           <!-- 제조사 -->
+    <td>
+        <a href="./PhysicInfo.asp?pc=32495&...">
+            (오가논)코자정 50mg(PTP)
+        </a>
+    </td>                         <!-- 제품명 (pc=내부코드) -->
+    <td>30T</td>                  <!-- 규격 -->
+    <td>보험전문</td>              <!-- 구분 -->
+    <td>14,220</td>               <!-- 단가 -->
+    <td>238</td>                  <!-- 재고 -->
+    <td>
+        <input name="qty_0">      <!-- 수량입력 -->
+        <input type="hidden" name="pc_0" value="32495">  <!-- 내부코드 -->
+        <input type="hidden" name="stock_0" value="238">
+        <input type="hidden" name="price_0" value="14220">
+    </td>
+</tr>
+```
+
+#### 핵심 필드 추출
+- **KD코드**: 첫 번째 td
+- **제조사**: 두 번째 td
+- **제품명**: 세 번째 td의 a 태그 텍스트
+- **내부코드(pc)**: a 태그 href에서 `pc=xxxxx` 추출
+- **규격**: 네 번째 td
+- **단가**: 여섯 번째 td (콤마 제거 후 int)
+- **재고**: 일곱 번째 td
+
+---
+
+## 3. 장바구니 추가 API
+
+### URL
+```
+POST /Service/Order/BagOrder.asp
+```
+
+### Content-Type
+```
+application/x-www-form-urlencoded
+```
+
+### 파라미터 (각 제품당)
+| 파라미터 | 설명 | 예시 |
+|----------|------|------|
+| qty_N | 수량 | 1 |
+| pc_N | 내부 제품코드 | 32495 |
+| stock_N | 현재 재고 | 238 |
+| saleqty_N | 판매수량 | 0 |
+| price_N | 단가 | 14220 |
+| soldout_N | 품절여부 | N |
+| ordunitqty_N | 주문단위수량 | 1 |
+| bidqty_N | 입찰수량 | 0 |
+| outqty_N | 출고수량 | 0 |
+| overqty_N | 초과수량 | 0 |
+| manage_N | 관리여부 | N |
+| prodno_N | 제품번호 | (빈값) |
+| termdt_N | 종료일자 | (빈값) |
+
+> N은 0부터 시작하는 행 인덱스
+
+### 요청 예시
+```
+qty_0=1&pc_0=32495&stock_0=238&saleqty_0=0&price_0=14220&soldout_0=N&ordunitqty_0=1&bidqty_0=0&outqty_0=0&overqty_0=0&manage_0=N&prodno_0=&termdt_0=
+```
+
+### 응답
+HTML (장바구니 iframe 내용)
+
+---
+
+## 4. 장바구니 비우기 API
+
+### URL
+```
+GET /Service/Order/BagOrder.asp?kind=del&currVenCd=50911&currMkind=&currRealVenCd=
+```
+
+### 파라미터
+| 파라미터 | 설명 | 값 |
+|----------|------|-----|
+| kind | 동작 | del |
+| currVenCd | 거래처코드 | 50911 |
+| currMkind | 종류 | (빈값) |
+| currRealVenCd | 실제거래처코드 | (빈값) |
+
+---
+
+## 5. 장바구니 조회 API
+
+### URL
+```
+GET /Service/Order/BagOrder.asp?currVenCd=50911
+```
+
+### 응답 (HTML)
+```html
+<table class="tbl_list">
+    <tr>
+        <td>건별취소</td>
+        <td>제품명</td>
+        <td>수량</td>
+        <td>금액</td>
+    </tr>
+    <tr>
+        <td><a href="...">X</a></td>
+        <td>(오가논)코자정 50mg(PTP)</td>
+        <td>1</td>
+        <td>14,220</td>
+    </tr>
+</table>
+<div>
+    <dt>주문품목</dt><dd>1개</dd>
+    <dt>주문금액</dt><dd>14,220원</dd>
+</div>
+```
+
+---
+
+## 6. 주문 전송 API
+
+### URL (추정)
+```
+POST /Service/Order/BagOrder.asp
+```
+
+### 파라미터
+| 파라미터 | 설명 |
+|----------|------|
+| kind | order (추정) |
+| memo | 주문메모 |
+| currVenCd | 거래처코드 |
+
+> 실제 주문 전송은 iframe 내 버튼 클릭으로 수행됨
+> 정확한 API 파라미터는 추가 분석 필요
+
+---
+
+## 7. 제품 상세 정보 API
+
+### URL
+```
+GET /Service/Order/PhysicInfo.asp
+```
+
+### 파라미터
+| 파라미터 | 설명 | 예시 |
+|----------|------|------|
+| pc | 내부제품코드 | 32495 |
+| ln | 행번호 | 0 |
+| currVenCd | 거래처코드 | 50911 |
+| currLoc | 재고위치 | '00001' |
+
+---
+
+## 구현 전략
+
+### 지오영 API 패턴 적용
+
+1. **Playwright 로그인**
+   - 초기 로그인만 Playwright 사용
+   - 쿠키 획득 후 requests 세션에 복사
+   - 세션 30분 유효 (재로그인 필요 시 자동 갱신)
+
+2. **requests 직접 호출**
+   - 검색: GET /Service/Order/Order.asp
+   - 장바구니 추가: POST /Service/Order/BagOrder.asp
+   - 장바구니 비우기: GET /Service/Order/BagOrder.asp?kind=del
+   - 장바구니 조회: GET /Service/Order/BagOrder.asp
+
+3. **HTML 파싱**
+   - BeautifulSoup 사용
+   - 테이블 행에서 제품 정보 추출
+   - 내부코드(pc) 추출 (장바구니 추가용)
+
+### 예상 성능
+- 기존 Playwright: ~30초/주문
+- requests 직접 호출: **~1초/주문**
+
+---
+
+## 주의사항
+
+1. **EUC-KR 인코딩**
+   - 한글 파라미터는 EUC-KR로 인코딩
+   - `urllib.parse.quote(text.encode('euc-kr'))`
+
+2. **세션 관리**
+   - ASP 세션 쿠키 유지 필수
+   - 장시간 미사용 시 세션 만료
+
+3. **동시 접속**
+   - 동일 계정 동시 접속 시 세션 충돌 가능
+
+4. **재고 실시간성**
+   - 검색 시점의 재고 정보
+   - 주문 전 재고 재확인 권장
+
+---
+
+## 작성일
+- 2026-03-06
+- 리버스 엔지니어링 by Claude
+

backend/analyze_baekje_ledger.py

@@ -0,0 +1,86 @@
+# -*- coding: utf-8 -*-
+"""백제약품 주문 원장 페이지 분석"""
+
+import asyncio
+import json
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+async def analyze_order_ledger():
+    from playwright.async_api import async_playwright
+    
+    username = os.getenv('BAEKJE_USER_ID')
+    password = os.getenv('BAEKJE_PASSWORD')
+    
+    print(f'Username: {username}')
+    
+    async with async_playwright() as p:
+        browser = await p.chromium.launch(headless=False)
+        context = await browser.new_context()
+        page = await context.new_page()
+        
+        # 로그인 페이지
+        await page.goto('https://ibjp.co.kr/dist/login', timeout=15000)
+        await page.wait_for_load_state('networkidle', timeout=10000)
+        
+        # 로그인 폼 입력
+        inputs = await page.locator('input[type="text"], input[type="password"]').all()
+        if len(inputs) >= 2:
+            await inputs[0].fill(username)
+            await inputs[1].fill(password)
+        
+        # 로그인 버튼 클릭
+        buttons = await page.locator('button').all()
+        for btn in buttons:
+            text = await btn.text_content()
+            if '로그인' in (text or ''):
+                await btn.click()
+                break
+        
+        # 로그인 완료 대기
+        try:
+            await page.wait_for_url('**/comOrd**', timeout=15000)
+            print('Login successful, redirected to comOrd')
+        except Exception as e:
+            print(f'URL wait failed: {e}')
+            await asyncio.sleep(3)
+        
+        print(f'Current URL: {page.url}')
+        
+        # 주문 원장 페이지로 이동
+        await page.goto('https://ibjp.co.kr/dist/ordLedger', timeout=15000)
+        await page.wait_for_load_state('networkidle', timeout=15000)
+        
+        print(f'Order Ledger URL: {page.url}')
+        
+        # 페이지 HTML 저장
+        html = await page.content()
+        with open('ordLedger_page.html', 'w', encoding='utf-8') as f:
+            f.write(html)
+        print('Page HTML saved to ordLedger_page.html')
+        
+        # 스크린샷 저장
+        await page.screenshot(path='ordLedger_screenshot.png', full_page=True)
+        print('Screenshot saved')
+        
+        # 테이블 데이터 분석
+        tables = await page.locator('table').all()
+        print(f'Found {len(tables)} tables')
+        
+        for i, table in enumerate(tables):
+            headers = await table.locator('th').all()
+            header_texts = [await h.text_content() for h in headers]
+            print(f'Table {i} headers: {header_texts}')
+        
+        # 페이지 텍스트 출력 (분석용)
+        body_text = await page.locator('body').text_content()
+        print('\n=== Page Text Preview ===')
+        print(body_text[:3000] if body_text else 'No text')
+        
+        await asyncio.sleep(30)  # 페이지 확인 시간
+        await browser.close()
+
+if __name__ == '__main__':
+    asyncio.run(analyze_order_ledger())

backend/analyze_bag.py

@@ -0,0 +1,16 @@
+# -*- coding: utf-8 -*-
+import sys; sys.path.insert(0, '.'); import wholesale_path
+from wholesale import SooinSession
+
+s = SooinSession()
+s.login()
+
+# Bag.asp HTML 가져오기
+resp = s.session.get(f'{s.BAG_VIEW_URL}?currVenCd={s.vendor_code}', timeout=15)
+
+# 파일로 저장
+with open('bag_page.html', 'w', encoding='utf-8') as f:
+    f.write(resp.text)
+
+print('bag_page.html 저장됨')
+print(f'응답 길이: {len(resp.text)}')

backend/analyze_geoyoung.py

@@ -0,0 +1,77 @@
+# -*- coding: utf-8 -*-
+"""지오영 API 엔드포인트 분석 - 간단 버전"""
+
+import asyncio
+from playwright.async_api import async_playwright
+
+async def analyze():
+    async with async_playwright() as p:
+        browser = await p.chromium.launch(headless=True)
+        page = await browser.new_page()
+        
+        # 모든 요청 로깅
+        all_requests = []
+        
+        def log_request(request):
+            all_requests.append({
+                'url': request.url,
+                'method': request.method,
+                'data': request.post_data
+            })
+        
+        page.on('request', log_request)
+        
+        # 로그인
+        await page.goto('https://gwn.geoweb.kr/Member/Login')
+        await page.fill('input[type="text"]', '7390')
+        await page.fill('input[type="password"]', 'trajet6640')
+        await page.click('button, input[type="submit"]')
+        await page.wait_for_load_state('networkidle')
+        
+        # 메인 페이지 HTML 분석
+        await page.goto('https://gwn.geoweb.kr/Home/Index')
+        await page.wait_for_load_state('networkidle')
+        
+        # JavaScript에서 API 엔드포인트 찾기
+        js_content = await page.content()
+        
+        await browser.close()
+        
+        # POST 요청만 필터
+        print("="*60)
+        print("POST 요청들:")
+        print("="*60)
+        for r in all_requests:
+            if r['method'] == 'POST':
+                print(f"URL: {r['url']}")
+                if r['data']:
+                    print(f"Data: {r['data'][:300]}")
+                print()
+        
+        # HTML에서 API 힌트 찾기
+        print("="*60)
+        print("HTML에서 발견된 API 관련 패턴:")
+        print("="*60)
+        
+        import re
+        # ajax, fetch, url 패턴 찾기
+        patterns = [
+            r'url:\s*[\'"]([^"\']+)[\'"]',
+            r'action=[\'"]([^"\']+)[\'"]',
+            r'\.post\([\'"]([^"\']+)[\'"]',
+            r'\.get\([\'"]([^"\']+)[\'"]',
+            r'fetch\([\'"]([^"\']+)[\'"]',
+        ]
+        
+        found_urls = set()
+        for pattern in patterns:
+            matches = re.findall(pattern, js_content)
+            for m in matches:
+                if 'Order' in m or 'Cart' in m or 'Add' in m or 'Product' in m:
+                    found_urls.add(m)
+        
+        for url in sorted(found_urls):
+            print(url)
+
+if __name__ == "__main__":
+    asyncio.run(analyze())

backend/baekje_api.py

@@ -0,0 +1,447 @@
+# -*- coding: utf-8 -*-
+"""
+백제약품 도매상 API - Flask Blueprint
+
+핵심 로직은 wholesale 패키지에서 가져옴
+이 파일은 Flask 웹 API 연동만 담당
+"""
+
+import time
+import logging
+
+from flask import Blueprint, jsonify, request as flask_request
+
+# wholesale 패키지 경로 설정
+import wholesale_path
+
+# wholesale 패키지에서 핵심 클래스 가져오기
+from wholesale import BaekjeSession
+
+logger = logging.getLogger(__name__)
+
+# Blueprint 생성
+baekje_bp = Blueprint('baekje', __name__, url_prefix='/api/baekje')
+
+
+# ========== 세션 관리 ==========
+
+_baekje_session = None
+_init_started = False
+
+def get_baekje_session():
+    global _baekje_session
+    if _baekje_session is None:
+        _baekje_session = BaekjeSession()
+    return _baekje_session
+
+
+def init_baekje_session():
+    """앱 시작 시 백그라운드에서 로그인 시작"""
+    global _init_started
+    if _init_started:
+        return
+    _init_started = True
+    
+    session = get_baekje_session()
+    
+    # 저장된 토큰이 있으면 즉시 사용 가능
+    if session._logged_in:
+        logger.info(f"백제약품: 저장된 토큰 사용 중")
+        return
+    
+    # 백그라운드 로그인 시작
+    session.start_background_login()
+    logger.info(f"백제약품: 백그라운드 로그인 시작됨")
+
+
+# 모듈 로드 시 자동 시작
+try:
+    init_baekje_session()
+except Exception as e:
+    logger.warning(f"백제약품 초기화 오류: {e}")
+
+
+def search_baekje_stock(keyword: str):
+    """백제약품 재고 검색"""
+    try:
+        session = get_baekje_session()
+        result = session.search_products(keyword)
+        
+        if result.get('success'):
+            return {
+                'success': True,
+                'keyword': keyword,
+                'count': result['total'],
+                'items': result['items']
+            }
+        else:
+            return result
+        
+    except Exception as e:
+        logger.error(f"백제약품 검색 오류: {e}")
+        return {'success': False, 'error': 'SEARCH_ERROR', 'message': str(e)}
+
+
+# ========== Flask API Routes ==========
+
+@baekje_bp.route('/stock', methods=['GET'])
+def api_baekje_stock():
+    """
+    백제약품 재고 조회 API
+    
+    GET /api/baekje/stock?kd_code=672300240
+    GET /api/baekje/stock?keyword=타이레놀
+    """
+    kd_code = flask_request.args.get('kd_code', '').strip()
+    keyword = flask_request.args.get('keyword', '').strip()
+    
+    search_term = kd_code or keyword
+    
+    if not search_term:
+        return jsonify({
+            'success': False,
+            'error': 'MISSING_PARAM',
+            'message': 'kd_code 또는 keyword 파라미터가 필요합니다'
+        }), 400
+    
+    try:
+        result = search_baekje_stock(search_term)
+        return jsonify(result)
+    except Exception as e:
+        logger.error(f"백제약품 API 오류: {e}")
+        return jsonify({
+            'success': False,
+            'error': 'API_ERROR',
+            'message': str(e)
+        }), 500
+
+
+@baekje_bp.route('/session-status', methods=['GET'])
+def api_session_status():
+    """세션 상태 확인"""
+    session = get_baekje_session()
+    return jsonify({
+        'success': True,
+        'wholesaler': 'baekje',
+        'name': '백제약품',
+        'logged_in': session._logged_in,
+        'last_login': session._last_login,
+        'session_timeout': session.SESSION_TIMEOUT
+    })
+
+
+@baekje_bp.route('/login', methods=['POST'])
+def api_login():
+    """수동 로그인"""
+    session = get_baekje_session()
+    success = session.login()
+    return jsonify({
+        'success': success,
+        'message': '로그인 성공' if success else '로그인 실패'
+    })
+
+
+@baekje_bp.route('/cart', methods=['GET'])
+def api_get_cart():
+    """장바구니 조회"""
+    session = get_baekje_session()
+    result = session.get_cart()
+    return jsonify(result)
+
+
+@baekje_bp.route('/cart', methods=['POST'])
+def api_add_to_cart():
+    """
+    장바구니 추가
+    
+    POST /api/baekje/cart
+    {
+        "product_code": "672300240",
+        "quantity": 2
+    }
+    """
+    data = flask_request.get_json() or {}
+    product_code = data.get('product_code', '').strip()
+    quantity = int(data.get('quantity', 1))
+    
+    if not product_code:
+        return jsonify({
+            'success': False,
+            'error': 'MISSING_PARAM',
+            'message': 'product_code 필요'
+        }), 400
+    
+    session = get_baekje_session()
+    result = session.add_to_cart(product_code, quantity)
+    return jsonify(result)
+
+
+@baekje_bp.route('/order', methods=['POST'])
+def api_submit_order():
+    """
+    주문 등록
+    
+    POST /api/baekje/order
+    {
+        "memo": "긴급 요청"
+    }
+    """
+    data = flask_request.get_json() or {}
+    memo = data.get('memo', '')
+    
+    session = get_baekje_session()
+    result = session.submit_order(memo)
+    return jsonify(result)
+
+
+# ========== 프론트엔드 통합용 ==========
+
+@baekje_bp.route('/search-for-order', methods=['POST'])
+def api_search_for_order():
+    """
+    발주용 재고 검색 (프론트엔드 통합용)
+    
+    POST /api/baekje/search-for-order
+    {
+        "kd_code": "672300240",
+        "product_name": "타이레놀",
+        "specification": "500T"
+    }
+    """
+    data = flask_request.get_json() or {}
+    kd_code = data.get('kd_code', '').strip()
+    product_name = data.get('product_name', '').strip()
+    specification = data.get('specification', '').strip()
+    
+    search_term = kd_code or product_name
+    
+    if not search_term:
+        return jsonify({
+            'success': False,
+            'error': 'MISSING_PARAM'
+        }), 400
+    
+    result = search_baekje_stock(search_term)
+    
+    if result.get('success') and specification:
+        # 규격 필터링
+        filtered = [
+            item for item in result.get('items', [])
+            if specification.lower() in item.get('spec', '').lower()
+        ]
+        result['items'] = filtered
+        result['count'] = len(filtered)
+    
+    return jsonify(result)
+
+
+# ========== 잔고 조회 ==========
+
+@baekje_bp.route('/balance', methods=['GET'])
+def api_get_balance():
+    """
+    잔고액 조회
+    
+    GET /api/baekje/balance
+    GET /api/baekje/balance?year=2026
+    
+    Returns:
+        {
+            "success": true,
+            "balance": 14193234,
+            "monthly": [
+                {"month": "2026-03", "sales": 6935133, "balance": 14193234, ...},
+                {"month": "2026-02", "sales": 18600692, "balance": 7258101, ...}
+            ]
+        }
+    """
+    year = flask_request.args.get('year', '').strip()
+    
+    session = get_baekje_session()
+    result = session.get_balance(year if year else None)
+    return jsonify(result)
+
+
+@baekje_bp.route('/orders/summary-by-kd', methods=['GET'])
+def api_baekje_orders_by_kd():
+    """
+    백제약품 주문량 KD코드별 집계 API
+    
+    GET /api/baekje/orders/summary-by-kd?start_date=2026-03-01&end_date=2026-03-07
+    
+    Returns:
+        {
+            "success": true,
+            "order_count": 4,
+            "by_kd_code": {
+                "670400830": {
+                    "product_name": "레바미피드정",
+                    "spec": "100T",
+                    "boxes": 2,
+                    "units": 200
+                }
+            },
+            "total_products": 15
+        }
+    """
+    import re
+    from datetime import datetime
+    
+    today = datetime.now().strftime("%Y-%m-%d")
+    start_date = flask_request.args.get('start_date', today).strip()
+    end_date = flask_request.args.get('end_date', today).strip()
+    
+    def parse_spec(spec: str, product_name: str = '') -> int:
+        """
+        규격에서 수량 추출 (30T → 30, 100C → 100)
+        """
+        combined = f"{spec} {product_name}"
+        
+        # D(도즈) 단위는 박스 단위로 계산 (140D → 1)
+        if re.search(r'\d+\s*D\b', combined, re.IGNORECASE):
+            return 1
+        
+        # T/C/P 단위가 붙은 숫자 추출 (예: 14T, 100C, 30P)
+        qty_match = re.search(r'(\d+)\s*[TCP]\b', combined, re.IGNORECASE)
+        if qty_match:
+            return int(qty_match.group(1))
+        
+        # 없으면 spec의 첫 번째 숫자
+        if spec:
+            num_match = re.search(r'(\d+)', spec)
+            if num_match:
+                val = int(num_match.group(1))
+                # mg, ml 같은 용량 단위면 수량 1로 처리
+                if re.search(r'\d+\s*(mg|ml|g)\b', spec, re.IGNORECASE):
+                    return 1
+                return val
+        
+        return 1
+    
+    try:
+        session = get_baekje_session()
+        
+        # 주문 목록 + 상세를 한 번에 조회 (include_details=True)
+        # 접수 상태(확정 전)도 포함됨!
+        orders_result = session.get_order_list(start_date, end_date, include_details=True)
+        
+        if not orders_result.get('success'):
+            return jsonify({
+                'success': False,
+                'error': orders_result.get('error', 'ORDERS_FETCH_FAILED'),
+                'by_kd_code': {},
+                'order_count': 0
+            })
+        
+        orders = orders_result.get('orders', [])
+        
+        if not orders:
+            return jsonify({
+                'success': True,
+                'order_count': 0,
+                'period': {'start': start_date, 'end': end_date},
+                'by_kd_code': {},
+                'total_products': 0,
+                'pending_count': 0,
+                'approved_count': 0
+            })
+        
+        # KD코드별 집계 (items가 이미 각 order에 포함됨)
+        kd_summary = {}
+        
+        for order in orders:
+            for item in order.get('items', []):
+                # 취소 상태 제외
+                status = item.get('status', '').strip()
+                if '취소' in status or '삭제' in status:
+                    continue
+                
+                # 백제는 kd_code가 insurance_code(BOHUM_CD)에 있음
+                kd_code = item.get('kd_code', '') or item.get('insurance_code', '')
+                if not kd_code:
+                    continue
+                
+                product_name = item.get('product_name', '')
+                spec = item.get('spec', '')
+                quantity = item.get('quantity', 0) or item.get('order_qty', 0)
+                per_unit = parse_spec(spec, product_name)
+                total_units = quantity * per_unit
+                
+                if kd_code not in kd_summary:
+                    kd_summary[kd_code] = {
+                        'product_name': product_name,
+                        'spec': spec,
+                        'boxes': 0,
+                        'units': 0
+                    }
+                
+                kd_summary[kd_code]['boxes'] += quantity
+                kd_summary[kd_code]['units'] += total_units
+        
+        pending_count = orders_result.get('pending_count', 0)
+        approved_count = orders_result.get('approved_count', 0)
+        
+        logger.info(f"백제 주문량 집계: {start_date}~{end_date}, {len(orders)}건 (접수:{pending_count}, 승인:{approved_count}), {len(kd_summary)}개 품목")
+        
+        return jsonify({
+            'success': True,
+            'order_count': len(orders),
+            'pending_count': pending_count,    # 접수 상태 (확정 전)
+            'approved_count': approved_count,  # 승인 상태 (확정됨)
+            'period': {'start': start_date, 'end': end_date},
+            'by_kd_code': kd_summary,
+            'total_products': len(kd_summary)
+        })
+        
+    except Exception as e:
+        logger.error(f"백제 주문량 집계 오류: {e}")
+        return jsonify({
+            'success': False,
+            'error': 'API_ERROR',
+            'message': str(e),
+            'by_kd_code': {},
+            'order_count': 0
+        }), 500
+
+
+@baekje_bp.route('/monthly-sales', methods=['GET'])
+def api_get_monthly_sales():
+    """
+    월간 매출(주문) 합계 조회
+    
+    GET /api/baekje/monthly-sales?year=2026&month=3
+    
+    Returns:
+        {
+            "success": true,
+            "total_amount": 7305877,       // 월간 매출 합계
+            "total_returns": 0,            // 월간 반품 합계
+            "net_amount": 7305877,         // 순매출 (매출 - 반품)
+            "total_paid": 0,               // 월간 입금 합계
+            "ending_balance": 14563978,    // 월말 잔액
+            "prev_balance": 14565453,      // 전월이월금
+            "from_date": "2026-03-01",
+            "to_date": "2026-03-31",
+            "rotate_days": 58.4            // 회전일수
+        }
+    """
+    from datetime import datetime
+    
+    year = flask_request.args.get('year', '').strip()
+    month = flask_request.args.get('month', '').strip()
+    
+    # 기본값: 현재 연월
+    now = datetime.now()
+    if not year:
+        year = now.year
+    else:
+        year = int(year)
+    
+    if not month:
+        month = now.month
+    else:
+        month = int(month)
+    
+    session = get_baekje_session()
+    result = session.get_monthly_sales(year, month)
+    return jsonify(result)

backend/bag_page.html

@@ -0,0 +1,150 @@
+
+
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+
+<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="ko">
+
+<head>
+
+	<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
+
+	<meta http-equiv="X-UA-Compatible" content="IE=Edge"/>
+
+	<link rel="stylesheet" href="http://sooinpharm.co.kr/Common/Css/Reset.css" type="text/css" media="screen" />
+
+	<link rel="stylesheet" href="http://sooinpharm.co.kr/Common/Css/Bag.css?v=260116" type="text/css" media="screen" />
+
+	<link rel="stylesheet" href="http://sooinpharm.co.kr/Common/Css/jquery-ui.css" type="text/css" />
+
+	
+
+	<title>수인약품(주) :: 장바구니</title>
+
+</head>
+
+<body oncontextmenu="return false" >
+
+	<input type="hidden" id="domainNm" name="domainNm" value="sooinpharm.co.kr" />
+
+	<input type="hidden" id="aggqty" value="N">
+
+	<input type='hidden' id='hardcoding' value='sooinpharm'>
+
+	<input type='hidden' id='bidding' value=''>
+
+	<input type='hidden' id='gumaeKind' value='U'>
+
+	<input type="hidden" id="min_order_qty" value=""><!--최소주문수량-->
+
+	<input type="hidden" id="BigWideFlag" value="">
+
+	<input type="hidden" id="DayOrdAmt" value="0">
+
+	<input type='hidden' id='baekjestockcd' value=''>
+
+
+
+
+
+	<div id="msg_order" style="margin: 0px 0 2px 0px;padding: 0px 7px 2px 0;background-position-y: 50%;position:relative;">
+
+		<div style="padding-left: 19px;line-height:13px;min-height:37px;display:table;"><span style="display: table-cell;text-align: left;vertical-align: middle;">17시 이후 주문은 다음근무일로 주문됩니다</span></div>
+
+	</div>
+
+
+
+<h1 id="bag_title">장바구니</h1>
+
+<div id="bag"
+
+	style='height:518px;' 
+
+>
+
+	<form name="frmBag" id="frmBag" method="post" action="./OrderEnd.asp" autocomplete=off>
+
+	<fieldset class="info">
+
+	<legend>주문관련 버튼 및 메모</legend>
+
+	<ul class="btn">
+
+		<li><a href="./BagOrder.asp?kind=del&amp;currVenCd=50911&amp;currMkind=&amp;currRealVenCd=" title="장바구니 비우기" id="btn_cancel_order">장바구니 비우기</a></li>
+
+		
+
+			<input type="hidden" name="hostuser" id="hostuser" />
+
+		
+
+			<li><input type="image" src="http://sooinpharm.co.kr/Images/Btn/btn_order_v2.gif" alt="주문전송" title="주문전송" /></li>
+
+		
+
+		<input type='hidden' id='btnState' value='true'>
+
+	</ul>
+
+	
+
+			<p class="memo">
+
+				<label for="tx_memo" >주문전송 메모</label><input type="text" name="tx_memo" id="tx_memo" maxlength="150" class="setInput_h20" title="메모" value="" />
+
+			</p>
+
+		
+
+		<input type="hidden" name="pDate" id="pDate" value=""/>
+
+	
+
+	</fieldset>
+
+
+
+	<fieldset class="list">
+
+	<legend>장바구니</legend>
+
+	<table class="bag_list" summary="스크롤링을 위해 고정시킬 테이블 제목">
+
+	<caption>장바구니 리스트</caption>
+
+	<colgroup>
+
+		
+
+			<col width="30" />
+
+			<col width="*" />
+
+			<col width="35" />
+
+			<col width="77" />
+
+		
+
+	</colgroup>
+
+	<thead>
+
+	<tr>
+
+		
+
+			<th scope="col" class="title1 first">건별취소</th>
+
+			<th scope="col" class="title2">제품명</th>
+
+			<th scope="col" class="title3">수량</th>
+
+			<th scope="col" class="title4">금액</th>
+
+		
+
+	</tr>
+
+	</thead>
+

backend/capture_geoyoung_api.py

@@ -0,0 +1,79 @@
+# -*- coding: utf-8 -*-
+"""지오영 API 엔드포인트 분석"""
+
+import asyncio
+from playwright.async_api import async_playwright
+
+async def capture_network():
+    async with async_playwright() as p:
+        browser = await p.chromium.launch(headless=True)
+        page = await browser.new_page()
+        
+        # 네트워크 요청 캡처
+        requests_log = []
+        
+        def log_request(request):
+            if 'geoweb' in request.url:
+                requests_log.append({
+                    'url': request.url,
+                    'method': request.method,
+                    'post_data': request.post_data
+                })
+        
+        page.on('request', log_request)
+        
+        # 로그인
+        print("로그인 중...")
+        await page.goto('https://gwn.geoweb.kr/Member/Login')
+        await page.fill('input[type="text"]', '7390')
+        await page.fill('input[type="password"]', 'trajet6640')
+        await page.click('button, input[type="submit"]')
+        await page.wait_for_load_state('networkidle')
+        print("로그인 완료")
+        
+        # 메인 페이지
+        await page.goto('https://gwn.geoweb.kr/Home/Index')
+        await page.wait_for_load_state('networkidle')
+        
+        # 검색
+        print("검색 중...")
+        search_input = await page.query_selector('input#srchText, input[name="srchText"]')
+        if search_input:
+            await search_input.fill('643104281')
+            
+        # 검색 버튼
+        search_btn = await page.query_selector('button:has-text("검색"), input[type="submit"]')
+        if search_btn:
+            await search_btn.click()
+        else:
+            await page.keyboard.press('Enter')
+            
+        await page.wait_for_timeout(3000)
+        
+        # 제품 행 클릭
+        print("제품 선택 중...")
+        rows = await page.query_selector_all('table tbody tr')
+        if rows:
+            await rows[0].click()
+            await page.wait_for_timeout(2000)
+        
+        # 담기 버튼
+        print("담기 버튼 클릭...")
+        add_btn = await page.query_selector('button:has-text("담기")')
+        if add_btn:
+            await add_btn.click()
+            await page.wait_for_timeout(3000)
+        
+        await browser.close()
+        
+        print("\n" + "="*60)
+        print("캡처된 요청들:")
+        print("="*60)
+        for r in requests_log:
+            if r['method'] == 'POST' or 'cart' in r['url'].lower() or 'order' in r['url'].lower():
+                print(f"\n[{r['method']}] {r['url']}")
+                if r['post_data']:
+                    print(f"    Data: {r['post_data'][:200]}")
+
+if __name__ == "__main__":
+    asyncio.run(capture_network())

backend/capture_order.py

@@ -0,0 +1,82 @@
+# -*- coding: utf-8 -*-
+"""
+네트워크 캡처용 - 약사님이 직접 주문 버튼 클릭
+"""
+import sys; sys.path.insert(0, '.'); import wholesale_path
+from wholesale import SooinSession
+from playwright.sync_api import sync_playwright
+import time
+
+s = SooinSession()
+print('로그인...')
+s.login()
+
+# 장바구니에 코자정 담기
+print('\n코자정 검색...')
+result = s.search_products('코자정 50mg PTP')
+product = None
+for item in result.get('items', []):
+    if 'PTP' in item['name']:
+        product = item
+        break
+
+if product:
+    print(f"제품: {product['name']} - {product['price']:,}원")
+    s.add_to_cart(product['internal_code'], qty=1, 
+                  price=product['price'], stock=product['stock'])
+    print('장바구니에 담음!')
+else:
+    print('제품 못 찾음')
+
+# 장바구니 확인
+cart = s.get_cart()
+print(f"\n장바구니: {cart['total_items']}개, {cart['total_amount']:,}원")
+
+print('\n' + '='*50)
+print('브라우저 열기 + 네트워크 캡처 시작')
+print('='*50)
+
+with sync_playwright() as p:
+    browser = p.chromium.launch(headless=False)  # 브라우저 보임
+    context = browser.new_context()
+    
+    # 세션 쿠키 복사
+    for c in s.session.cookies:
+        context.add_cookies([{
+            'name': c.name,
+            'value': c.value,
+            'domain': c.domain or 'sooinpharm.co.kr',
+            'path': c.path or '/'
+        }])
+    
+    page = context.new_page()
+    
+    # 네트워크 요청 캡처
+    def on_request(request):
+        if 'BagOrder' in request.url and request.method == 'POST':
+            print('\n' + '='*50)
+            print('🎯 POST 요청 캡처!')
+            print('='*50)
+            print(f'URL: {request.url}')
+            print(f'\nPOST 데이터:')
+            data = request.post_data or ''
+            # 파라미터별로 출력
+            for param in data.split('&'):
+                if '=' in param:
+                    key, val = param.split('=', 1)
+                    print(f'  {key}: {val[:50]}')
+            print('='*50)
+    
+    page.on('request', on_request)
+    
+    # 주문 페이지로 이동
+    page.goto('http://sooinpharm.co.kr/Service/Order/Order.asp')
+    
+    print('\n✅ 브라우저 준비 완료!')
+    print('👆 주문전송 버튼을 클릭해주세요!')
+    print('\n(Enter 누르면 브라우저 닫힘)')
+    input()
+    
+    browser.close()
+
+print('\n완료!')

backend/capture_order2.py

@@ -0,0 +1,79 @@
+# -*- coding: utf-8 -*-
+"""
+네트워크 캡처 v2 - 새로고침 후에도 캡처
+"""
+import sys; sys.path.insert(0, '.'); import wholesale_path
+from wholesale import SooinSession
+from playwright.sync_api import sync_playwright
+import time
+
+s = SooinSession()
+print('로그인...')
+s.login()
+
+# 먼저 장바구니 비우기
+s.clear_cart()
+
+# 코자정 담기
+print('코자정 검색...')
+result = s.search_products('코자정')
+product = result['items'][0] if result.get('items') else None
+
+if product:
+    print(f"제품: {product['name']} - {product['price']:,}원")
+    s.add_to_cart(product['internal_code'], qty=1, 
+                  price=product['price'], stock=product['stock'])
+    print('장바구니에 담음!')
+
+cart = s.get_cart()
+print(f"장바구니: {cart['total_items']}개")
+
+print('\n브라우저 열기...')
+
+with sync_playwright() as p:
+    browser = p.chromium.launch(headless=False)
+    context = browser.new_context()
+    
+    # 쿠키 복사
+    for c in s.session.cookies:
+        context.add_cookies([{
+            'name': c.name,
+            'value': c.value,
+            'domain': c.domain or 'sooinpharm.co.kr',
+            'path': c.path or '/'
+        }])
+    
+    page = context.new_page()
+    
+    # 모든 요청 캡처 (지속적)
+    captured = []
+    def capture(request):
+        if 'BagOrder' in request.url and request.method == 'POST':
+            data = request.post_data or ''
+            captured.append(data)
+            print('\n' + '='*60)
+            print('🎯 POST 캡처!')
+            print('='*60)
+            for param in data.split('&')[:30]:  # 주요 파라미터만
+                if '=' in param:
+                    k, v = param.split('=', 1)
+                    if v:  # 값이 있는 것만
+                        print(f'  {k}: {v[:60]}')
+            print('='*60)
+    
+    context.on('request', capture)  # context 레벨에서 캡처
+    
+    page.goto('http://sooinpharm.co.kr/Service/Order/Order.asp')
+    
+    print('\n✅ 준비 완료!')
+    print('👆 F5로 새로고침 후 주문전송 버튼 클릭!')
+    print('\n(Enter 누르면 종료)')
+    input()
+    
+    # 캡처된 데이터 파일로 저장
+    if captured:
+        with open('captured_post.txt', 'w', encoding='utf-8') as f:
+            f.write(captured[0])
+        print('\n📁 captured_post.txt 저장됨')
+    
+    browser.close()

backend/check_2024_apc.py

@@ -0,0 +1,32 @@
+# -*- coding: utf-8 -*-
+import pyodbc
+
+conn_str = (
+    'DRIVER={ODBC Driver 17 for SQL Server};'
+    'SERVER=192.168.0.4\\PM2014;'
+    'DATABASE=PM_DRUG;'
+    'UID=sa;'
+    'PWD=tmddls214!%(;'
+    'TrustServerCertificate=yes;'
+)
+conn = pyodbc.connect(conn_str, timeout=10)
+cursor = conn.cursor()
+
+# 2024년 이후 APC (9xx로 시작) 확인
+cursor.execute('''
+    SELECT G.GoodsName, U.CD_CD_BARCODE
+    FROM CD_GOODS G
+    JOIN CD_ITEM_UNIT_MEMBER U ON G.DrugCode = U.DRUGCODE
+    WHERE G.POS_BOON = '010103'
+      AND G.GoodsSelCode = 'B'
+      AND U.CD_CD_BARCODE LIKE '9%'
+      AND LEN(U.CD_CD_BARCODE) = 13
+    ORDER BY G.GoodsName
+''')
+
+rows = cursor.fetchall()
+print(f'=== 2024년 이후 APC 제품: {len(rows)}건 ===')
+for row in rows:
+    print(f'  {row.GoodsName} | APC: {row.CD_CD_BARCODE}')
+
+conn.close()

backend/check_barcodes.py

@@ -1,70 +0,0 @@
-"""
-바코드가 있는 제품 샘플 조회
-"""
-
-import sys
-import os
-sys.path.insert(0, os.path.dirname(__file__))
-
-from db.dbsetup import DatabaseManager
-from sqlalchemy import text
-
-def check_barcode_samples():
-    """바코드가 있는 제품 샘플 조회"""
-    db_manager = DatabaseManager()
-
-    try:
-        session = db_manager.get_session('PM_PRES')
-
-        # 바코드가 있는 제품 샘플 조회
-        query = text("""
-            SELECT TOP 10
-                S.DrugCode,
-                S.BARCODE,
-                G.GoodsName,
-                S.SL_NM_cost_a as price
-            FROM SALE_SUB S
-            LEFT JOIN PM_DRUG.dbo.CD_GOODS G ON S.DrugCode = G.DrugCode
-            WHERE S.BARCODE IS NOT NULL AND S.BARCODE != ''
-            ORDER BY S.SL_NO_order DESC
-        """)
-
-        results = session.execute(query).fetchall()
-
-        print('=' * 100)
-        print('바코드가 있는 제품 샘플 (최근 10개)')
-        print('=' * 100)
-        for r in results:
-            barcode = r.BARCODE if r.BARCODE else '(없음)'
-            goods_name = r.GoodsName if r.GoodsName else '(약품명 없음)'
-            print(f'DrugCode: {r.DrugCode:20} | BARCODE: {barcode:20} | 제품명: {goods_name}')
-        print('=' * 100)
-
-        # 바코드 통계
-        stats_query = text("""
-            SELECT
-                COUNT(DISTINCT DrugCode) as total_drugs,
-                COUNT(DISTINCT BARCODE) as total_barcodes,
-                SUM(CASE WHEN BARCODE IS NOT NULL AND BARCODE != '' THEN 1 ELSE 0 END) as with_barcode,
-                COUNT(*) as total_sales
-            FROM SALE_SUB
-        """)
-
-        stats = session.execute(stats_query).fetchone()
-
-        print('\n바코드 통계')
-        print('=' * 100)
-        print(f'전체 제품 수 (DrugCode):  {stats.total_drugs:,}')
-        print(f'바코드 종류 수:            {stats.total_barcodes:,}')
-        print(f'바코드가 있는 판매 건수:   {stats.with_barcode:,}')
-        print(f'전체 판매 건수:            {stats.total_sales:,}')
-        print(f'바코드 보유율:             {stats.with_barcode / stats.total_sales * 100:.2f}%')
-        print('=' * 100)
-
-    except Exception as e:
-        print(f"오류 발생: {e}")
-    finally:
-        db_manager.close_all()
-
-if __name__ == '__main__':
-    check_barcode_samples()

backend/check_chunks.py

@@ -0,0 +1,18 @@
+# -*- coding: utf-8 -*-
+from utils.animal_rag import get_animal_rag
+
+rag = get_animal_rag()
+rag._init_db()
+
+df = rag.table.to_pandas()
+
+# 개시딘 청크들 확인
+gaesidin = df[df['source'] == 'gaesidin_gel_pyoderma_fusidic_acid.md']
+print(f'개시딘 청크 수: {len(gaesidin)}개')
+print('=' * 60)
+
+for i, row in gaesidin.head(5).iterrows():
+    section = row['section']
+    text = row['text'][:200].replace('\n', ' ')
+    print(f'\n[섹션] {section}')
+    print(f'  → {text}...')

backend/check_oridermyl.py

@@ -0,0 +1,25 @@
+# -*- coding: utf-8 -*-
+from sqlalchemy import create_engine, text
+
+engine = create_engine('postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master')
+with engine.connect() as conn:
+    # 오리더밀 검색
+    result = conn.execute(text("""
+        SELECT apc, product_name, item_seq, 
+               llm_pharm->>'분류' as category,
+               llm_pharm->>'간이분류' as easy_category,
+               image_url1
+        FROM apc 
+        WHERE product_name ILIKE '%오리더밀%'
+        ORDER BY apc
+    """))
+    
+    print('=== PostgreSQL 오리더밀 검색 결과 ===')
+    for row in result:
+        print(f'APC: {row.apc}')
+        print(f'  제품명: {row.product_name}')
+        print(f'  item_seq: {row.item_seq}')
+        print(f'  분류: {row.category}')
+        print(f'  간이분류: {row.easy_category}')
+        print(f'  이미지: {row.image_url1}')
+        print()

backend/check_real_2024_apc.py

@@ -0,0 +1,35 @@
+# -*- coding: utf-8 -*-
+import pyodbc
+
+conn_str = (
+    'DRIVER={ODBC Driver 17 for SQL Server};'
+    'SERVER=192.168.0.4\\PM2014;'
+    'DATABASE=PM_DRUG;'
+    'UID=sa;'
+    'PWD=tmddls214!%(;'
+    'TrustServerCertificate=yes;'
+)
+conn = pyodbc.connect(conn_str, timeout=10)
+cursor = conn.cursor()
+
+# 정식 2024년 APC (92%로 시작) 확인
+cursor.execute('''
+    SELECT G.GoodsName, U.CD_CD_BARCODE
+    FROM CD_GOODS G
+    JOIN CD_ITEM_UNIT_MEMBER U ON G.DrugCode = U.DRUGCODE
+    WHERE G.POS_BOON = '010103'
+      AND G.GoodsSelCode = 'B'
+      AND U.CD_CD_BARCODE LIKE '92%'
+      AND LEN(U.CD_CD_BARCODE) = 13
+    ORDER BY G.GoodsName
+''')
+
+rows = cursor.fetchall()
+print(f'=== 정식 2024년 APC (92%) 제품: {len(rows)}건 ===')
+for row in rows:
+    print(f'  {row.GoodsName} | APC: {row.CD_CD_BARCODE}')
+
+if len(rows) == 0:
+    print('  (없음 - 아직 2024년 이후 허가 제품이 등록 안 됨)')
+
+conn.close()

backend/check_sale_data.py

@@ -1,83 +0,0 @@
-"""
-특정 거래의 SALE_SUB 데이터 확인
-"""
-
-import sys
-import os
-sys.path.insert(0, os.path.dirname(__file__))
-
-from db.dbsetup import DatabaseManager
-from sqlalchemy import text
-
-def check_sale_sub_data(transaction_id):
-    """특정 거래의 판매 상세 데이터 확인"""
-    db_manager = DatabaseManager()
-
-    try:
-        session = db_manager.get_session('PM_PRES')
-
-        # SALE_SUB 모든 컬럼 조회
-        query = text("""
-            SELECT *
-            FROM SALE_SUB
-            WHERE SL_NO_order = :transaction_id
-        """)
-
-        result = session.execute(query, {'transaction_id': transaction_id}).fetchone()
-
-        if result:
-            print("=" * 80)
-            print(f"거래번호 {transaction_id}의 SALE_SUB 데이터")
-            print("=" * 80)
-
-            # 모든 컬럼 출력
-            for key in result._mapping.keys():
-                value = result._mapping[key]
-                print(f"{key:30} = {value}")
-
-            print("=" * 80)
-        else:
-            print(f"거래번호 {transaction_id}를 찾을 수 없습니다.")
-
-    except Exception as e:
-        print(f"오류 발생: {e}")
-    finally:
-        db_manager.close_all()
-
-def check_sale_main_data(transaction_id):
-    """특정 거래의 SALE_MAIN 데이터 확인"""
-    db_manager = DatabaseManager()
-
-    try:
-        session = db_manager.get_session('PM_PRES')
-
-        query = text("""
-            SELECT *
-            FROM SALE_MAIN
-            WHERE SL_NO_order = :transaction_id
-        """)
-
-        result = session.execute(query, {'transaction_id': transaction_id}).fetchone()
-
-        if result:
-            print("\n" + "=" * 80)
-            print(f"거래번호 {transaction_id}의 SALE_MAIN 데이터")
-            print("=" * 80)
-
-            for key in result._mapping.keys():
-                value = result._mapping[key]
-                print(f"{key:30} = {value}")
-
-            print("=" * 80)
-        else:
-            print(f"거래번호 {transaction_id}를 찾을 수 없습니다.")
-
-    except Exception as e:
-        print(f"오류 발생: {e}")
-    finally:
-        db_manager.close_all()
-
-if __name__ == '__main__':
-    # 스크린샷의 거래번호
-    check_sale_sub_data('20260123000261')
-    check_sale_main_data('20260123000261')

backend/check_table_schema.py

@@ -1,54 +0,0 @@
-"""
-SALE_MAIN 테이블 컬럼 확인 스크립트
-"""
-
-import sys
-import os
-sys.path.insert(0, os.path.dirname(__file__))
-
-from db.dbsetup import DatabaseManager
-from sqlalchemy import text
-
-def check_sale_table_columns(table_name):
-    """테이블의 모든 컬럼 확인"""
-    db_manager = DatabaseManager()
-
-    try:
-        session = db_manager.get_session('PM_PRES')
-
-        # SQL Server에서 테이블 컬럼 정보 조회
-        query = text(f"""
-            SELECT
-                COLUMN_NAME,
-                DATA_TYPE,
-                CHARACTER_MAXIMUM_LENGTH,
-                IS_NULLABLE
-            FROM INFORMATION_SCHEMA.COLUMNS
-            WHERE TABLE_NAME = '{table_name}'
-            ORDER BY ORDINAL_POSITION
-        """)
-
-        columns = session.execute(query).fetchall()
-
-        print("=" * 80)
-        print(f"{table_name} 테이블 컬럼 목록")
-        print("=" * 80)
-
-        for col in columns:
-            nullable = "NULL" if col.IS_NULLABLE == 'YES' else "NOT NULL"
-            max_len = f"({col.CHARACTER_MAXIMUM_LENGTH})" if col.CHARACTER_MAXIMUM_LENGTH else ""
-            print(f"{col.COLUMN_NAME:30} {col.DATA_TYPE}{max_len:20} {nullable}")
-
-        print("=" * 80)
-        print(f"총 {len(columns)}개 컬럼")
-        print("=" * 80)
-
-    except Exception as e:
-        print(f"오류 발생: {e}")
-    finally:
-        db_manager.close_all()
-
-if __name__ == '__main__':
-    check_sale_table_columns('SALE_MAIN')
-    print("\n\n")
-    check_sale_table_columns('SALE_SUB')

backend/check_tiergard.py

@@ -0,0 +1,28 @@
+# -*- coding: utf-8 -*-
+import pyodbc
+
+conn_str = (
+    'DRIVER={ODBC Driver 17 for SQL Server};'
+    'SERVER=192.168.0.4\\PM2014;'
+    'DATABASE=PM_DRUG;'
+    'UID=sa;'
+    'PWD=tmddls214!%(;'
+    'TrustServerCertificate=yes;'
+)
+conn = pyodbc.connect(conn_str, timeout=10)
+cursor = conn.cursor()
+
+cursor.execute('''
+    SELECT G.GoodsName, G.Saleprice, ISNULL(IT.IM_QT_sale_debit, 0) AS Stock
+    FROM CD_GOODS G
+    LEFT JOIN IM_total IT ON G.DrugCode = IT.DrugCode
+    WHERE G.GoodsName LIKE '%티어가드%'
+    ORDER BY G.GoodsName
+''')
+
+rows = cursor.fetchall()
+print('=== 티어가드 보유 현황 ===')
+for row in rows:
+    print(f'{row.GoodsName} | {row.Saleprice:,.0f}원 | 재고: {int(row.Stock)}개')
+
+conn.close()

backend/check_tiergard_detail.py

@@ -0,0 +1,26 @@
+# -*- coding: utf-8 -*-
+from sqlalchemy import create_engine, text
+import json
+
+engine = create_engine('postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master')
+with engine.connect() as conn:
+    result = conn.execute(text("""
+        SELECT apc, product_name, llm_pharm, main_ingredient, component_name_ko
+        FROM apc 
+        WHERE product_name ILIKE '%티어가드%60mg%'
+        ORDER BY apc
+        LIMIT 3
+    """))
+    
+    print('=== 티어가드 60mg 허가사항 상세 ===')
+    for row in result:
+        print(f'APC: {row.apc}')
+        print(f'제품명: {row.product_name}')
+        print(f'main_ingredient: {row.main_ingredient}')
+        print(f'component_name_ko: {row.component_name_ko}')
+        if row.llm_pharm:
+            llm = row.llm_pharm if isinstance(row.llm_pharm, dict) else json.loads(row.llm_pharm)
+            print('llm_pharm 내용:')
+            for k, v in llm.items():
+                print(f'  {k}: {v}')
+        print()

backend/check_tiergard_llm.py

@@ -0,0 +1,27 @@
+# -*- coding: utf-8 -*-
+from sqlalchemy import create_engine, text
+import json
+
+engine = create_engine('postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master')
+with engine.connect() as conn:
+    # llm_pharm이 있는 티어가드 확인
+    result = conn.execute(text("""
+        SELECT apc, product_name, llm_pharm
+        FROM apc 
+        WHERE product_name ILIKE '%티어가드%'
+          AND llm_pharm IS NOT NULL
+          AND llm_pharm::text != '{}'
+        ORDER BY apc
+    """))
+    
+    print('=== 티어가드 llm_pharm 있는 항목 ===')
+    for row in result:
+        print(f'APC: {row.apc}')
+        print(f'제품명: {row.product_name}')
+        if row.llm_pharm:
+            llm = row.llm_pharm if isinstance(row.llm_pharm, dict) else json.loads(row.llm_pharm)
+            print('llm_pharm:')
+            for k, v in llm.items():
+                if v:
+                    print(f'  {k}: {v}')
+        print()

backend/check_tiergard_pg.py

@@ -0,0 +1,21 @@
+# -*- coding: utf-8 -*-
+from sqlalchemy import create_engine, text
+
+engine = create_engine('postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master')
+with engine.connect() as conn:
+    result = conn.execute(text("""
+        SELECT apc, product_name, 
+               llm_pharm->>'체중/부위' as dosage,
+               llm_pharm->>'주성분' as ingredient
+        FROM apc 
+        WHERE product_name ILIKE '%티어가드%'
+        ORDER BY apc
+    """))
+    
+    print('=== PostgreSQL 티어가드 전체 규격 ===')
+    for row in result:
+        print(f'APC: {row.apc}')
+        print(f'  제품명: {row.product_name}')
+        print(f'  용량: {row.dosage}')
+        print(f'  성분: {row.ingredient}')
+        print()

backend/config.json

@@ -0,0 +1,11 @@
+{
+  "pharmacy_code": "P0001",
+  "pharmacy_name": "청춘약국",
+  "cloud_api_url": "https://pos.pharmq.kr",
+  "pos_printer": {
+    "ip": "192.168.0.174",
+    "port": 9100
+  },
+  "pharmacist_name": "김영빈",
+  "license_number": "72672"
+}

backend/config/__init__.py

@@ -0,0 +1,54 @@
+# -*- coding: utf-8 -*-
+"""
+도매상 설정 중앙 관리
+
+사용법:
+    from config import get_wholesalers, get_wholesaler
+    
+    # 전체 도매상 목록
+    wholesalers = get_wholesalers()
+    
+    # 특정 도매상 정보
+    geo = get_wholesaler('geoyoung')
+    print(geo['name'])  # 지오영
+    print(geo['logo'])  # /static/img/logo_geoyoung.ico
+"""
+
+import json
+from pathlib import Path
+
+_config = None
+_config_path = Path(__file__).parent / 'wholesalers.json'
+
+
+def _load_config():
+    global _config
+    if _config is None:
+        with open(_config_path, 'r', encoding='utf-8') as f:
+            _config = json.load(f)
+    return _config
+
+
+def get_wholesalers():
+    """전체 도매상 목록 반환 (순서대로)"""
+    config = _load_config()
+    order = config.get('order', [])
+    wholesalers = config.get('wholesalers', {})
+    return [wholesalers[key] for key in order if key in wholesalers]
+
+
+def get_wholesaler(wholesaler_id: str):
+    """특정 도매상 정보 반환"""
+    config = _load_config()
+    return config.get('wholesalers', {}).get(wholesaler_id)
+
+
+def get_all_wholesalers_dict():
+    """전체 도매상 딕셔너리 반환"""
+    config = _load_config()
+    return config.get('wholesalers', {})
+
+
+def get_config():
+    """전체 설정 반환"""
+    return _load_config()

backend/config/wholesalers.json

@@ -0,0 +1,65 @@
+{
+  "wholesalers": {
+    "geoyoung": {
+      "id": "geoyoung",
+      "name": "지오영",
+      "shortName": "지오영",
+      "icon": "🏭",
+      "logo": "/static/img/logo_geoyoung.ico",
+      "color": "#06b6d4",
+      "gradient": "linear-gradient(135deg, #0891b2, #06b6d4)",
+      "bgColor": "rgba(6, 182, 212, 0.1)",
+      "api": {
+        "balance": "/api/geoyoung/balance",
+        "stock": "/api/geoyoung/stock",
+        "order": "/api/geoyoung/order"
+      },
+      "env": {
+        "userId": "GEOYOUNG_USER_ID",
+        "password": "GEOYOUNG_PASSWORD"
+      }
+    },
+    "sooin": {
+      "id": "sooin",
+      "name": "수인약품",
+      "shortName": "수인",
+      "icon": "💊",
+      "logo": "/static/img/logo_sooin.svg",
+      "color": "#a855f7",
+      "gradient": "linear-gradient(135deg, #7c3aed, #a855f7)",
+      "bgColor": "rgba(168, 85, 247, 0.1)",
+      "api": {
+        "balance": "/api/sooin/balance",
+        "stock": "/api/sooin/stock",
+        "order": "/api/sooin/order"
+      },
+      "env": {
+        "userId": "SOOIN_USER_ID",
+        "password": "SOOIN_PASSWORD",
+        "vendorCode": "SOOIN_VENDOR_CODE"
+      }
+    },
+    "baekje": {
+      "id": "baekje",
+      "name": "백제약품",
+      "shortName": "백제",
+      "icon": "💉",
+      "logo": "/static/img/logo_baekje.svg",
+      "color": "#f59e0b",
+      "gradient": "linear-gradient(135deg, #d97706, #f59e0b)",
+      "bgColor": "rgba(245, 158, 11, 0.1)",
+      "api": {
+        "balance": "/api/baekje/balance",
+        "stock": "/api/baekje/stock",
+        "order": "/api/baekje/order"
+      },
+      "env": {
+        "userId": "BAEKJE_USER_ID",
+        "password": "BAEKJE_PASSWORD"
+      }
+    }
+  },
+  "order": ["baekje", "geoyoung", "sooin"],
+  "version": "1.0.0",
+  "lastUpdated": "2026-03-06"
+}

backend/create_limits_table.py

@@ -0,0 +1,50 @@
+import sqlite3
+
+conn = sqlite3.connect('db/orders.db')
+cur = conn.cursor()
+
+# wholesaler_limits 테이블 생성
+cur.execute('''
+CREATE TABLE IF NOT EXISTS wholesaler_limits (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    wholesaler_id TEXT NOT NULL UNIQUE,
+    
+    -- 한도 설정
+    monthly_limit INTEGER DEFAULT 0,        -- 월 한도 (원)
+    warning_threshold REAL DEFAULT 0.9,     -- 경고 임계값 (90%)
+    
+    -- 우선순위
+    priority INTEGER DEFAULT 1,             -- 1이 최우선
+    
+    -- 상태
+    is_active INTEGER DEFAULT 1,
+    
+    -- 메타
+    created_at TEXT DEFAULT CURRENT_TIMESTAMP,
+    updated_at TEXT DEFAULT CURRENT_TIMESTAMP
+)
+''')
+
+# 기본 데이터 삽입 (각 2000만원)
+wholesalers = [
+    ('geoyoung', 20000000, 0.9, 1),
+    ('sooin', 20000000, 0.9, 2),
+    ('baekje', 20000000, 0.9, 3),
+]
+
+for ws_id, limit, threshold, priority in wholesalers:
+    cur.execute('''
+        INSERT OR REPLACE INTO wholesaler_limits 
+        (wholesaler_id, monthly_limit, warning_threshold, priority)
+        VALUES (?, ?, ?, ?)
+    ''', (ws_id, limit, threshold, priority))
+
+conn.commit()
+
+# 확인
+cur.execute('SELECT * FROM wholesaler_limits')
+print('=== wholesaler_limits 생성 완료 ===')
+for row in cur.fetchall():
+    print(row)
+
+conn.close()

backend/db/age_food_graph.py

@@ -0,0 +1,335 @@
+"""
+Apache AGE 그래프 생성: Food + Biomarker 노드 및 관계
+
+목적: PostgreSQL 테이블 데이터를 Apache AGE 그래프로 변환
+작성일: 2026-02-04
+"""
+
+import sys
+import os
+
+# UTF-8 인코딩 강제
+if sys.platform == 'win32':
+    import io
+    sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
+    sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8')
+
+import psycopg2
+from psycopg2.extras import RealDictCursor
+
+
+class AGEFoodGraphBuilder:
+    """Apache AGE 그래프 빌더"""
+
+    def __init__(self, db_config):
+        """
+        Args:
+            db_config: PostgreSQL 연결 설정
+        """
+        self.db_config = db_config
+        self.conn = None
+        self.cursor = None
+        self.graph_name = 'pharmacy_graph'
+
+    def connect(self):
+        """PostgreSQL 연결"""
+        try:
+            self.conn = psycopg2.connect(**self.db_config)
+            self.cursor = self.conn.cursor(cursor_factory=RealDictCursor)
+            print("✅ PostgreSQL 연결 성공")
+
+            # AGE 확장 로드
+            self.cursor.execute("LOAD 'age';")
+            self.cursor.execute("SET search_path = ag_catalog, '$user', public;")
+
+            # 그래프 생성 (이미 있으면 무시)
+            try:
+                self.cursor.execute(f"SELECT create_graph('{self.graph_name}');")
+                self.conn.commit()
+                print(f"✅ 그래프 '{self.graph_name}' 생성 완료")
+            except psycopg2.Error as e:
+                if 'already exists' in str(e):
+                    print(f"ℹ️  그래프 '{self.graph_name}' 이미 존재")
+                    self.conn.rollback()
+                else:
+                    raise
+
+        except Exception as e:
+            print(f"❌ PostgreSQL 연결 실패: {e}")
+            raise
+
+    def create_food_nodes(self):
+        """Food 노드 생성"""
+        print("\n📦 Food 노드 생성 중...")
+
+        try:
+            # SQL 테이블에서 식품 데이터 조회
+            self.cursor.execute("""
+                SELECT food_id, food_name, food_name_en, category, subcategory, description
+                FROM foods
+            """)
+            foods = self.cursor.fetchall()
+
+            for food in foods:
+                # Cypher 쿼리로 노드 생성
+                query = f"""
+                SELECT * FROM cypher('{self.graph_name}', $$
+                    MERGE (f:Food {{
+                        food_id: {food['food_id']},
+                        name: '{food['food_name']}',
+                        name_en: '{food['food_name_en'] or ''}',
+                        category: '{food['category']}',
+                        subcategory: '{food['subcategory'] or ''}',
+                        description: '{food['description'] or ''}'
+                    }})
+                    RETURN f
+                $$) AS (result agtype);
+                """
+                self.cursor.execute(query)
+
+            self.conn.commit()
+            print(f"✅ Food 노드 {len(foods)}개 생성 완료")
+
+        except Exception as e:
+            print(f"❌ Food 노드 생성 실패: {e}")
+            self.conn.rollback()
+            raise
+
+    def create_biomarker_nodes(self):
+        """Biomarker 노드 생성"""
+        print("\n📦 Biomarker 노드 생성 중...")
+
+        try:
+            # SQL 테이블에서 바이오마커 데이터 조회
+            self.cursor.execute("""
+                SELECT biomarker_id, biomarker_name, biomarker_type,
+                       normal_range_min, normal_range_max, unit, description
+                FROM biomarkers
+            """)
+            biomarkers = self.cursor.fetchall()
+
+            for bm in biomarkers:
+                query = f"""
+                SELECT * FROM cypher('{self.graph_name}', $$
+                    MERGE (b:Biomarker {{
+                        biomarker_id: {bm['biomarker_id']},
+                        name: '{bm['biomarker_name']}',
+                        type: '{bm['biomarker_type']}',
+                        normal_min: {bm['normal_range_min'] or 0},
+                        normal_max: {bm['normal_range_max'] or 0},
+                        unit: '{bm['unit'] or ''}',
+                        description: '{bm['description'] or ''}'
+                    }})
+                    RETURN b
+                $$) AS (result agtype);
+                """
+                self.cursor.execute(query)
+
+            self.conn.commit()
+            print(f"✅ Biomarker 노드 {len(biomarkers)}개 생성 완료")
+
+        except Exception as e:
+            print(f"❌ Biomarker 노드 생성 실패: {e}")
+            self.conn.rollback()
+            raise
+
+    def create_food_biomarker_relationships(self):
+        """Food → Biomarker 관계 생성"""
+        print("\n🔗 Food → Biomarker 관계 생성 중...")
+
+        try:
+            # SQL 테이블에서 관계 데이터 조회
+            self.cursor.execute("""
+                SELECT
+                    f.food_id, f.food_name,
+                    b.biomarker_id, b.biomarker_name,
+                    fbe.effect_type, fbe.magnitude, fbe.percent_change,
+                    fbe.mechanism, fbe.evidence_pmid, fbe.study_type, fbe.reliability
+                FROM food_biomarker_effects fbe
+                JOIN foods f ON fbe.food_id = f.food_id
+                JOIN biomarkers b ON fbe.biomarker_id = b.biomarker_id
+            """)
+            effects = self.cursor.fetchall()
+
+            for effect in effects:
+                # 관계 타입 결정
+                if effect['effect_type'] == 'increases':
+                    rel_type = 'INCREASES'
+                elif effect['effect_type'] == 'decreases':
+                    rel_type = 'DECREASES'
+                else:
+                    rel_type = 'AFFECTS'
+
+                # Cypher 쿼리로 관계 생성
+                query = f"""
+                SELECT * FROM cypher('{self.graph_name}', $$
+                    MATCH (f:Food {{food_id: {effect['food_id']}}})
+                    MATCH (b:Biomarker {{biomarker_id: {effect['biomarker_id']}}})
+                    MERGE (f)-[r:{rel_type} {{
+                        magnitude: '{effect['magnitude'] or 'unknown'}',
+                        percent_change: {effect['percent_change'] or 0},
+                        mechanism: '{effect['mechanism'] or ''}',
+                        evidence_pmid: '{effect['evidence_pmid'] or ''}',
+                        study_type: '{effect['study_type'] or ''}',
+                        reliability: {effect['reliability'] or 0.5}
+                    }}]->(b)
+                    RETURN r
+                $$) AS (result agtype);
+                """
+                self.cursor.execute(query)
+
+            self.conn.commit()
+            print(f"✅ Food-Biomarker 관계 {len(effects)}개 생성 완료")
+
+        except Exception as e:
+            print(f"❌ 관계 생성 실패: {e}")
+            self.conn.rollback()
+            raise
+
+    def create_disease_nodes(self):
+        """Disease 노드 생성 (질병-바이오마커 연결용)"""
+        print("\n📦 Disease 노드 생성 중...")
+
+        try:
+            # SQL 테이블에서 질병 데이터 조회
+            self.cursor.execute("""
+                SELECT DISTINCT disease_icd_code, disease_name
+                FROM disease_biomarker_association
+            """)
+            diseases = self.cursor.fetchall()
+
+            for disease in diseases:
+                query = f"""
+                SELECT * FROM cypher('{self.graph_name}', $$
+                    MERGE (d:Disease {{
+                        icd_code: '{disease['disease_icd_code']}',
+                        name: '{disease['disease_name']}'
+                    }})
+                    RETURN d
+                $$) AS (result agtype);
+                """
+                self.cursor.execute(query)
+
+            self.conn.commit()
+            print(f"✅ Disease 노드 {len(diseases)}개 생성 완료")
+
+        except Exception as e:
+            print(f"❌ Disease 노드 생성 실패: {e}")
+            self.conn.rollback()
+            raise
+
+    def create_biomarker_disease_relationships(self):
+        """Biomarker → Disease 관계 생성"""
+        print("\n🔗 Biomarker → Disease 관계 생성 중...")
+
+        try:
+            self.cursor.execute("""
+                SELECT
+                    b.biomarker_id, b.biomarker_name,
+                    dba.disease_icd_code, dba.disease_name,
+                    dba.association_strength, dba.threshold_value,
+                    dba.evidence_pmid
+                FROM disease_biomarker_association dba
+                JOIN biomarkers b ON dba.biomarker_id = b.biomarker_id
+            """)
+            associations = self.cursor.fetchall()
+
+            for assoc in associations:
+                query = f"""
+                SELECT * FROM cypher('{self.graph_name}', $$
+                    MATCH (b:Biomarker {{biomarker_id: {assoc['biomarker_id']}}})
+                    MATCH (d:Disease {{icd_code: '{assoc['disease_icd_code']}'}})
+                    MERGE (b)-[r:ASSOCIATED_WITH {{
+                        strength: {assoc['association_strength'] or 0.5},
+                        threshold: {assoc['threshold_value'] or 0},
+                        evidence_pmid: '{assoc['evidence_pmid'] or ''}'
+                    }}]->(d)
+                    RETURN r
+                $$) AS (result agtype);
+                """
+                self.cursor.execute(query)
+
+            self.conn.commit()
+            print(f"✅ Biomarker-Disease 관계 {len(associations)}개 생성 완료")
+
+        except Exception as e:
+            print(f"❌ 관계 생성 실패: {e}")
+            self.conn.rollback()
+            raise
+
+    def verify_graph(self):
+        """그래프 검증"""
+        print("\n🔍 그래프 검증 중...")
+
+        try:
+            # 노드 개수 확인
+            queries = {
+                'Food': f"SELECT * FROM cypher('{self.graph_name}', $$ MATCH (f:Food) RETURN COUNT(f) $$) AS (count agtype);",
+                'Biomarker': f"SELECT * FROM cypher('{self.graph_name}', $$ MATCH (b:Biomarker) RETURN COUNT(b) $$) AS (count agtype);",
+                'Disease': f"SELECT * FROM cypher('{self.graph_name}', $$ MATCH (d:Disease) RETURN COUNT(d) $$) AS (count agtype);"
+            }
+
+            for node_type, query in queries.items():
+                self.cursor.execute(query)
+                result = self.cursor.fetchone()
+                count = result['count'] if result else 0
+                print(f"   {node_type} 노드: {count}개")
+
+            # 관계 개수 확인
+            rel_query = f"SELECT * FROM cypher('{self.graph_name}', $$ MATCH ()-[r]->() RETURN COUNT(r) $$) AS (count agtype);"
+            self.cursor.execute(rel_query)
+            rel_result = self.cursor.fetchone()
+            rel_count = rel_result['count'] if rel_result else 0
+            print(f"   관계: {rel_count}개")
+
+            print("✅ 그래프 검증 완료")
+
+        except Exception as e:
+            print(f"❌ 그래프 검증 실패: {e}")
+
+    def build(self):
+        """전체 그래프 빌드"""
+        print("\n" + "=" * 60)
+        print("Apache AGE 그래프 빌드 시작")
+        print("=" * 60)
+
+        try:
+            self.connect()
+            self.create_food_nodes()
+            self.create_biomarker_nodes()
+            self.create_disease_nodes()
+            self.create_food_biomarker_relationships()
+            self.create_biomarker_disease_relationships()
+            self.verify_graph()
+
+            print("\n" + "=" * 60)
+            print("✅ 그래프 빌드 완료!")
+            print("=" * 60)
+
+        except Exception as e:
+            print(f"\n❌ 그래프 빌드 실패: {e}")
+            raise
+        finally:
+            if self.conn:
+                self.conn.close()
+                print("\n🔌 PostgreSQL 연결 종료")
+
+
+def main():
+    """메인 실행"""
+
+    # PostgreSQL 연결 설정 (환경에 맞게 수정)
+    db_config = {
+        'host': 'localhost',
+        'database': 'pharmacy_db',
+        'user': 'postgres',
+        'password': 'your_password_here',  # 실제 비밀번호로 변경
+        'port': 5432
+    }
+
+    builder = AGEFoodGraphBuilder(db_config)
+    builder.build()
+
+
+if __name__ == '__main__':
+    main()

backend/db/animal_chat_logs_schema.sql

@@ -0,0 +1,47 @@
+-- 동물약 챗봇 로그 스키마
+-- 생성일: 2026-03-08
+
+CREATE TABLE IF NOT EXISTS chat_logs (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    session_id TEXT,
+    
+    -- 입력
+    user_message TEXT,
+    history_length INTEGER,
+    
+    -- MSSQL (보유 동물약)
+    mssql_drug_count INTEGER,
+    mssql_duration_ms INTEGER,
+    
+    -- PostgreSQL (RAG)
+    pgsql_rag_count INTEGER,
+    pgsql_duration_ms INTEGER,
+    
+    -- LanceDB (벡터 검색)
+    vector_results_count INTEGER,
+    vector_top_scores TEXT,  -- JSON: [0.92, 0.85, 0.78]
+    vector_sources TEXT,     -- JSON: ["file1.md#section", ...]
+    vector_duration_ms INTEGER,
+    
+    -- OpenAI
+    openai_model TEXT,
+    openai_prompt_tokens INTEGER,
+    openai_completion_tokens INTEGER,
+    openai_total_tokens INTEGER,
+    openai_cost_usd REAL,
+    openai_duration_ms INTEGER,
+    
+    -- 출력
+    assistant_response TEXT,
+    products_mentioned TEXT,  -- JSON array
+    
+    -- 메타
+    total_duration_ms INTEGER,
+    error TEXT,
+    created_at TEXT DEFAULT (datetime('now', 'localtime'))
+);
+
+-- 인덱스
+CREATE INDEX IF NOT EXISTS idx_chat_created ON chat_logs(created_at);
+CREATE INDEX IF NOT EXISTS idx_chat_session ON chat_logs(session_id);
+CREATE INDEX IF NOT EXISTS idx_chat_error ON chat_logs(error);

backend/db/dbsetup.py

@@ -2,6 +2,8 @@
 PIT3000 Database Setup
 SQLAlchemy 기반 데이터베이스 연결 및 스키마 정의
 Windows/Linux 크로스 플랫폼 지원
+
+PostgreSQL 지원 추가: 건조시럽 환산계수 조회 (drysyrup 테이블)
 """
 
 from sqlalchemy import create_engine, MetaData, text
@@ -75,7 +77,7 @@ def get_available_odbc_driver():
 class DatabaseConfig:
     """PIT3000 데이터베이스 연결 설정"""
 
-    SERVER = "192.168.0.4\\PM2014"
+    SERVER = "192.168.0.69\\PM2014"
     USERNAME = "sa"
     PASSWORD = "tmddls214!%("  # 원본 비밀번호
 
@@ -88,6 +90,9 @@ class DatabaseConfig:
     # URL 인코딩된 드라이버
     DRIVER_ENCODED = urllib.parse.quote_plus(DRIVER)
     
+    # PostgreSQL 연결 정보 (건조시럽 환산계수 DB)
+    POSTGRES_URL = "postgresql+psycopg2://admin:trajet6640@192.168.0.39:5432/label10"
+
     # 데이터베이스별 연결 문자열 (동적 드라이버 사용)
     @classmethod
     def get_database_urls(cls):
@@ -136,6 +141,10 @@ class DatabaseManager:
         self.sqlite_conn = None
         self.sqlite_db_path = Path(__file__).parent / 'mileage.db'
         
+        # PostgreSQL 연결 (건조시럽 환산계수)
+        self.postgres_engine = None
+        self.postgres_session = None
+
     def get_engine(self, database='PM_BASE'):
         """특정 데이터베이스 엔진 반환"""
         if database not in self.engines:
@@ -154,11 +163,46 @@ class DatabaseManager:
         return self.engines[database]
     
     def get_session(self, database='PM_BASE'):
-        """특정 데이터베이스 세션 반환"""
+        """특정 데이터베이스 세션 반환 (자동 복구 포함)"""
         if database not in self.sessions:
             engine = self.get_engine(database)
             Session = sessionmaker(bind=engine)
             self.sessions[database] = Session()
+        else:
+            # 🔥 기존 세션 상태 체크 및 자동 복구
+            session = self.sessions[database]
+            try:
+                # 세션이 유효한지 간단한 쿼리로 테스트
+                session.execute(text("SELECT 1"))
+            except Exception as e:
+                error_msg = str(e).lower()
+                # 연결 끊김 또는 트랜잭션 에러 감지
+                if any(keyword in error_msg for keyword in [
+                    'invalid transaction', 'rollback', 'connection', 
+                    'closed', 'lost', 'timeout', 'network', 'disconnect'
+                ]):
+                    print(f"[DB Manager] {database} 세션 복구 시도: {e}")
+                    try:
+                        session.rollback()
+                        print(f"[DB Manager] {database} 롤백 성공, 세션 재사용")
+                    except Exception as rollback_err:
+                        print(f"[DB Manager] {database} 롤백 실패, 세션 재생성: {rollback_err}")
+                        try:
+                            session.close()
+                        except:
+                            pass
+                        del self.sessions[database]
+                        # 새 세션 생성
+                        engine = self.get_engine(database)
+                        Session = sessionmaker(bind=engine)
+                        self.sessions[database] = Session()
+                        print(f"[DB Manager] {database} 새 세션 생성 완료")
+                else:
+                    # 다른 종류의 에러면 롤백만 시도
+                    try:
+                        session.rollback()
+                    except:
+                        pass
         return self.sessions[database]
 
     def rollback_session(self, database='PM_BASE'):
@@ -185,37 +229,193 @@ class DatabaseManager:
         # 새 세션 생성
         return self.get_session(database)
 
-    def get_sqlite_connection(self):
+    # ─────────────────────────────────────────────────────────────
+    # PostgreSQL 연결 (건조시럽 환산계수)
+    # ─────────────────────────────────────────────────────────────
+    def get_postgres_engine(self):
         """
-        SQLite mileage.db 연결 반환 (싱글톤 패턴)
+        PostgreSQL 엔진 반환 (건조시럽 환산계수 DB)
-        최초 호출 시 스키마 자동 초기화
+        
+        Returns:
+            Engine 또는 None (연결 실패 시)
+        """
+        if self.postgres_engine is not None:
+            return self.postgres_engine
+        
+        try:
+            self.postgres_engine = create_engine(
+                DatabaseConfig.POSTGRES_URL,
+                pool_size=5,
+                max_overflow=5,
+                pool_timeout=30,
+                pool_recycle=1800,
+                pool_pre_ping=True,
+                echo=False
+            )
+            # 연결 테스트
+            with self.postgres_engine.connect() as conn:
+                conn.execute(text("SELECT 1"))
+            print("[DB Manager] PostgreSQL 연결 성공")
+            return self.postgres_engine
+        except Exception as e:
+            print(f"[DB Manager] PostgreSQL 연결 실패 (무시됨): {e}")
+            self.postgres_engine = None
+            return None
+    
+    def get_postgres_session(self):
+        """
+        PostgreSQL 세션 반환 (건조시럽 환산계수 조회용)
+        
+        Returns:
+            Session 또는 None (연결 실패 시)
+        """
+        engine = self.get_postgres_engine()
+        if engine is None:
+            return None
+        
+        if self.postgres_session is None:
+            try:
+                Session = sessionmaker(bind=engine)
+                self.postgres_session = Session()
+            except Exception as e:
+                print(f"[DB Manager] PostgreSQL 세션 생성 실패: {e}")
+                return None
+        else:
+            # 세션 상태 체크
+            try:
+                self.postgres_session.execute(text("SELECT 1"))
+            except Exception as e:
+                print(f"[DB Manager] PostgreSQL 세션 복구 시도: {e}")
+                try:
+                    self.postgres_session.rollback()
+                except:
+                    pass
+                try:
+                    self.postgres_session.close()
+                except:
+                    pass
+                try:
+                    Session = sessionmaker(bind=engine)
+                    self.postgres_session = Session()
+                except:
+                    self.postgres_session = None
+                    return None
+        
+        return self.postgres_session
+    
+    def get_conversion_factor(self, sung_code):
+        """
+        건조시럽 환산계수 및 보관조건 조회
+        
+        Args:
+            sung_code: SUNG_CODE (예: "535000ASY")
+            
+        Returns:
+            dict: {
+                'conversion_factor': float 또는 None,
+                'ingredient_name': str 또는 None,
+                'product_name': str 또는 None,
+                'storage_conditions': str (기본값 '실온보관')
+            }
+        """
+        result = {
+            'conversion_factor': None,
+            'ingredient_name': None,
+            'product_name': None,
+            'storage_conditions': '실온보관'  # 기본값
+        }
+        
+        session = self.get_postgres_session()
+        if session is None:
+            return result
+        
+        try:
+            query = text("""
+                SELECT conversion_factor, ingredient_name, product_name, storage_conditions
+                FROM drysyrup
+                WHERE ingredient_code = :sung_code
+                LIMIT 1
+            """)
+            row = session.execute(query, {'sung_code': sung_code}).fetchone()
+            
+            if row:
+                result['conversion_factor'] = float(row[0]) if row[0] is not None else None
+                result['ingredient_name'] = row[1]
+                result['product_name'] = row[2]
+                # storage_conditions: 값이 있으면 사용, 없으면 기본값 '실온보관' 유지
+                if row[3]:
+                    result['storage_conditions'] = row[3]
+        except Exception as e:
+            print(f"[DB Manager] 환산계수 조회 실패 (SUNG_CODE={sung_code}): {e}")
+            # 세션 롤백
+            try:
+                session.rollback()
+            except:
+                pass
+        
+        return result
+
+    def get_sqlite_connection(self, new_connection=False):
+        """
+        SQLite mileage.db 연결 반환
+        
+        Args:
+            new_connection: True면 항상 새 연결 생성 (멀티스레드 안전)
 
         Returns:
             sqlite3.Connection: SQLite 연결 객체
         """
+        # 새 연결 요청 시 항상 새로 생성
+        if new_connection:
+            return self._create_sqlite_connection()
+        
+        # 기존 싱글톤 방식 (하위 호환)
+        if self.sqlite_conn is not None:
+            try:
+                cursor = self.sqlite_conn.cursor()
+                cursor.execute("SELECT 1")
+                cursor.fetchone()
+                cursor.close()
+            except Exception as e:
+                print(f"[DB Manager] SQLite 연결 체크 실패, 재연결: {e}")
+                try:
+                    self.sqlite_conn.close()
+                except:
+                    pass
+                self.sqlite_conn = None
+
         if self.sqlite_conn is None:
-            # 파일 존재 여부 확인
+            self.sqlite_conn = self._create_sqlite_connection()
-            is_new_db = not self.sqlite_db_path.exists()
-
-            # 연결 생성
-            self.sqlite_conn = sqlite3.connect(
-                str(self.sqlite_db_path),
-                check_same_thread=False,  # 멀티스레드 허용
-                timeout=10.0  # 10초 대기
-            )
-
-            # Row Factory 설정 (dict 형태로 결과 반환)
-            self.sqlite_conn.row_factory = sqlite3.Row
-
-            # 신규 DB면 스키마 초기화
-            if is_new_db:
-                self.init_sqlite_schema()
-                print(f"[DB Manager] SQLite 신규 DB 생성 완료: {self.sqlite_db_path}")
-            else:
-                print(f"[DB Manager] SQLite 기존 DB 연결: {self.sqlite_db_path}")
 
         return self.sqlite_conn
     
+    def _create_sqlite_connection(self):
+        """새 SQLite 연결 생성"""
+        is_new_db = not self.sqlite_db_path.exists()
+        
+        conn = sqlite3.connect(
+            str(self.sqlite_db_path),
+            check_same_thread=False,
+            timeout=10.0
+        )
+        conn.row_factory = sqlite3.Row
+        
+        if is_new_db:
+            # 스키마 초기화 (임시로 self.sqlite_conn 설정)
+            old_conn = self.sqlite_conn
+            self.sqlite_conn = conn
+            self.init_sqlite_schema()
+            self.sqlite_conn = old_conn
+            print(f"[DB Manager] SQLite 신규 DB 생성 완료: {self.sqlite_db_path}")
+        else:
+            # 기존 DB: 마이그레이션 실행
+            old_conn = self.sqlite_conn
+            self.sqlite_conn = conn
+            self._migrate_sqlite()
+            self.sqlite_conn = old_conn
+
+        return conn
+
     def init_sqlite_schema(self):
         """
         mileage_schema.sql 실행하여 테이블 생성
@@ -235,6 +435,127 @@ class DatabaseManager:
 
         print(f"[DB Manager] SQLite 스키마 초기화 완료")
 
+    def _migrate_sqlite(self):
+        """기존 DB에 새 컬럼/테이블 추가 (마이그레이션)"""
+        cursor = self.sqlite_conn.cursor()
+        cursor.execute("PRAGMA table_info(users)")
+        columns = [row[1] for row in cursor.fetchall()]
+        if 'birthday' not in columns:
+            cursor.execute("ALTER TABLE users ADD COLUMN birthday VARCHAR(10)")
+            self.sqlite_conn.commit()
+            print("[DB Manager] SQLite 마이그레이션: users.birthday 컬럼 추가")
+
+        # alimtalk_logs 테이블 생성
+        cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='alimtalk_logs'")
+        if not cursor.fetchone():
+            cursor.executescript("""
+                CREATE TABLE IF NOT EXISTS alimtalk_logs (
+                    id INTEGER PRIMARY KEY AUTOINCREMENT,
+                    template_code VARCHAR(50) NOT NULL,
+                    recipient_no VARCHAR(20) NOT NULL,
+                    user_id INTEGER,
+                    trigger_source VARCHAR(20) NOT NULL,
+                    template_params TEXT,
+                    success BOOLEAN NOT NULL,
+                    result_message TEXT,
+                    transaction_id VARCHAR(20),
+                    created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
+                    FOREIGN KEY (user_id) REFERENCES users(id)
+                );
+                CREATE INDEX IF NOT EXISTS idx_alimtalk_created ON alimtalk_logs(created_at);
+                CREATE INDEX IF NOT EXISTS idx_alimtalk_recipient ON alimtalk_logs(recipient_no);
+            """)
+            self.sqlite_conn.commit()
+            print("[DB Manager] SQLite 마이그레이션: alimtalk_logs 테이블 생성")
+
+        # ai_recommendations 테이블 생성
+        cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='ai_recommendations'")
+        if not cursor.fetchone():
+            cursor.executescript("""
+                CREATE TABLE IF NOT EXISTS ai_recommendations (
+                    id INTEGER PRIMARY KEY AUTOINCREMENT,
+                    user_id INTEGER NOT NULL,
+                    transaction_id VARCHAR(20),
+                    recommended_product TEXT NOT NULL,
+                    recommendation_message TEXT NOT NULL,
+                    recommendation_reason TEXT,
+                    trigger_products TEXT,
+                    ai_raw_response TEXT,
+                    status VARCHAR(20) DEFAULT 'active',
+                    displayed_count INTEGER DEFAULT 0,
+                    created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
+                    expires_at DATETIME,
+                    displayed_at DATETIME,
+                    dismissed_at DATETIME,
+                    FOREIGN KEY (user_id) REFERENCES users(id)
+                );
+                CREATE INDEX IF NOT EXISTS idx_rec_user_status ON ai_recommendations(user_id, status);
+                CREATE INDEX IF NOT EXISTS idx_rec_expires ON ai_recommendations(expires_at);
+            """)
+            self.sqlite_conn.commit()
+            print("[DB Manager] SQLite 마이그레이션: ai_recommendations 테이블 생성")
+
+        # customer_identities 토큰 저장 컬럼 추가
+        cursor.execute("PRAGMA table_info(customer_identities)")
+        ci_columns = [row[1] for row in cursor.fetchall()]
+        if 'access_token' not in ci_columns:
+            cursor.execute("ALTER TABLE customer_identities ADD COLUMN access_token TEXT")
+            cursor.execute("ALTER TABLE customer_identities ADD COLUMN refresh_token TEXT")
+            cursor.execute("ALTER TABLE customer_identities ADD COLUMN token_expires_at DATETIME")
+            self.sqlite_conn.commit()
+            print("[DB Manager] SQLite 마이그레이션: customer_identities 토큰 컬럼 추가")
+
+        # pets 테이블 생성 (반려동물)
+        cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='pets'")
+        if not cursor.fetchone():
+            cursor.executescript("""
+                CREATE TABLE IF NOT EXISTS pets (
+                    id INTEGER PRIMARY KEY AUTOINCREMENT,
+                    user_id INTEGER NOT NULL,
+                    name VARCHAR(50) NOT NULL,
+                    species VARCHAR(20) NOT NULL,
+                    breed VARCHAR(50),
+                    gender VARCHAR(10),
+                    birth_date DATE,
+                    age_months INTEGER,
+                    weight DECIMAL(5,2),
+                    photo_url TEXT,
+                    notes TEXT,
+                    is_active BOOLEAN DEFAULT TRUE,
+                    created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
+                    updated_at DATETIME DEFAULT CURRENT_TIMESTAMP,
+                    FOREIGN KEY (user_id) REFERENCES users(id)
+                );
+                CREATE INDEX IF NOT EXISTS idx_pets_user ON pets(user_id);
+                CREATE INDEX IF NOT EXISTS idx_pets_species ON pets(species);
+            """)
+            self.sqlite_conn.commit()
+            print("[DB Manager] SQLite 마이그레이션: pets 테이블 생성")
+
+        # otc_label_presets 테이블 생성 (OTC 용법 라벨)
+        cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='otc_label_presets'")
+        if not cursor.fetchone():
+            cursor.executescript("""
+                CREATE TABLE IF NOT EXISTS otc_label_presets (
+                    id INTEGER PRIMARY KEY AUTOINCREMENT,
+                    barcode VARCHAR(20) NOT NULL UNIQUE,
+                    drug_code VARCHAR(20),
+                    display_name VARCHAR(100),
+                    effect VARCHAR(100),
+                    dosage_instruction TEXT,
+                    usage_tip TEXT,
+                    use_wide_format BOOLEAN DEFAULT TRUE,
+                    print_count INTEGER DEFAULT 0,
+                    last_printed_at DATETIME,
+                    created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
+                    updated_at DATETIME DEFAULT CURRENT_TIMESTAMP
+                );
+                CREATE INDEX IF NOT EXISTS idx_otc_label_barcode ON otc_label_presets(barcode);
+                CREATE INDEX IF NOT EXISTS idx_otc_label_drug_code ON otc_label_presets(drug_code);
+            """)
+            self.sqlite_conn.commit()
+            print("[DB Manager] SQLite 마이그레이션: otc_label_presets 테이블 생성")
+
     def test_connection(self, database='PM_BASE'):
         """연결 테스트"""
         try:
@@ -257,6 +578,20 @@ class DatabaseManager:
             self.sqlite_conn.close()
             self.sqlite_conn = None
         
+        # PostgreSQL 연결 종료
+        if self.postgres_session:
+            try:
+                self.postgres_session.close()
+            except:
+                pass
+            self.postgres_session = None
+        if self.postgres_engine:
+            try:
+                self.postgres_engine.dispose()
+            except:
+                pass
+            self.postgres_engine = None
+
 # 전역 데이터베이스 매니저 인스턴스
 db_manager = DatabaseManager()
 

backend/db/kims_logger.py

@@ -0,0 +1,220 @@
+"""
+KIMS API 로깅 모듈
+- API 호출/응답 SQLite 저장
+- AI 학습용 데이터 수집
+"""
+import sqlite3
+import json
+import os
+from datetime import datetime
+from pathlib import Path
+
+# DB 파일 경로
+DB_PATH = Path(__file__).parent / 'kims_logs.db'
+
+def init_db():
+    """DB 초기화 (테이블 생성)"""
+    schema_path = Path(__file__).parent / 'kims_logs_schema.sql'
+    
+    conn = sqlite3.connect(str(DB_PATH))
+    cursor = conn.cursor()
+    
+    with open(schema_path, 'r', encoding='utf-8') as f:
+        schema = f.read()
+        cursor.executescript(schema)
+    
+    conn.commit()
+    conn.close()
+    print(f"KIMS 로그 DB 초기화 완료: {DB_PATH}")
+
+def log_kims_call(
+    pre_serial: str = None,
+    user_id: int = None,
+    source: str = 'admin',
+    drug_codes: list = None,
+    drug_names: list = None,
+    api_status: str = 'SUCCESS',
+    http_status: int = 200,
+    response_time_ms: int = 0,
+    interactions: list = None,
+    response_raw: dict = None,
+    error_message: str = None
+) -> int:
+    """
+    KIMS API 호출 로그 저장
+    
+    Returns:
+        log_id: 생성된 로그 ID
+    """
+    # DB 없으면 초기화
+    if not DB_PATH.exists():
+        init_db()
+    
+    conn = sqlite3.connect(str(DB_PATH))
+    cursor = conn.cursor()
+    
+    interactions = interactions or []
+    drug_codes = drug_codes or []
+    drug_names = drug_names or []
+    
+    # 심각한 상호작용 여부 (severity 1 또는 2)
+    has_severe = any(
+        str(i.get('severity', '5')) in ['1', '2'] 
+        for i in interactions
+    )
+    
+    # 메인 로그 삽입
+    cursor.execute("""
+        INSERT INTO kims_api_logs (
+            pre_serial, user_id, source,
+            request_drug_codes, request_drug_names, request_drug_count,
+            api_status, http_status, response_time_ms,
+            interaction_count, has_severe_interaction,
+            interactions_json, response_raw, error_message
+        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+    """, (
+        pre_serial,
+        user_id,
+        source,
+        json.dumps(drug_codes, ensure_ascii=False),
+        json.dumps(drug_names, ensure_ascii=False),
+        len(drug_codes),
+        api_status,
+        http_status,
+        response_time_ms,
+        len(interactions),
+        1 if has_severe else 0,
+        json.dumps(interactions, ensure_ascii=False),
+        json.dumps(response_raw, ensure_ascii=False) if response_raw else None,
+        error_message
+    ))
+    
+    log_id = cursor.lastrowid
+    
+    # 상호작용 상세 삽입 (정규화)
+    for inter in interactions:
+        cursor.execute("""
+            INSERT INTO kims_interactions (
+                log_id,
+                drug1_code, drug1_name, drug1_generic,
+                drug2_code, drug2_name, drug2_generic,
+                severity_level, severity_desc,
+                likelihood_level, likelihood_desc,
+                observation, observation_generic,
+                clinical_management, action_to_take, reference
+            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+        """, (
+            log_id,
+            inter.get('drug1_code'),
+            inter.get('drug1_name'),
+            inter.get('generic1'),
+            inter.get('drug2_code'),
+            inter.get('drug2_name'),
+            inter.get('generic2'),
+            int(inter.get('severity', 5)) if str(inter.get('severity', '')).isdigit() else None,
+            inter.get('severity_text'),
+            None,  # likelihood_level
+            inter.get('likelihood'),
+            inter.get('description'),
+            None,  # observation_generic
+            inter.get('management'),
+            inter.get('action'),
+            None   # reference
+        ))
+    
+    conn.commit()
+    conn.close()
+    
+    return log_id
+
+def get_recent_logs(limit: int = 50):
+    """최근 로그 조회"""
+    if not DB_PATH.exists():
+        return []
+    
+    conn = sqlite3.connect(str(DB_PATH))
+    conn.row_factory = sqlite3.Row
+    cursor = conn.cursor()
+    
+    cursor.execute("""
+        SELECT * FROM kims_api_logs
+        ORDER BY created_at DESC
+        LIMIT ?
+    """, (limit,))
+    
+    rows = cursor.fetchall()
+    conn.close()
+    
+    return [dict(row) for row in rows]
+
+def get_log_detail(log_id: int):
+    """로그 상세 조회 (상호작용 포함)"""
+    if not DB_PATH.exists():
+        return None
+    
+    conn = sqlite3.connect(str(DB_PATH))
+    conn.row_factory = sqlite3.Row
+    cursor = conn.cursor()
+    
+    # 메인 로그
+    cursor.execute("SELECT * FROM kims_api_logs WHERE id = ?", (log_id,))
+    log = cursor.fetchone()
+    
+    if not log:
+        conn.close()
+        return None
+    
+    # 상호작용 상세
+    cursor.execute("""
+        SELECT * FROM kims_interactions 
+        WHERE log_id = ?
+        ORDER BY severity_level ASC
+    """, (log_id,))
+    interactions = cursor.fetchall()
+    
+    conn.close()
+    
+    result = dict(log)
+    result['interactions_detail'] = [dict(i) for i in interactions]
+    
+    return result
+
+def get_stats():
+    """통계 조회"""
+    if not DB_PATH.exists():
+        return {}
+    
+    conn = sqlite3.connect(str(DB_PATH))
+    conn.row_factory = sqlite3.Row
+    cursor = conn.cursor()
+    
+    # 전체 통계
+    cursor.execute("""
+        SELECT 
+            COUNT(*) as total_calls,
+            SUM(CASE WHEN api_status = 'SUCCESS' THEN 1 ELSE 0 END) as success_count,
+            SUM(CASE WHEN interaction_count > 0 THEN 1 ELSE 0 END) as with_interaction,
+            SUM(CASE WHEN has_severe_interaction = 1 THEN 1 ELSE 0 END) as with_severe,
+            AVG(response_time_ms) as avg_response_ms
+        FROM kims_api_logs
+    """)
+    stats = dict(cursor.fetchone())
+    
+    # 최근 7일 일별 통계
+    cursor.execute("""
+        SELECT * FROM kims_stats
+        ORDER BY date DESC
+        LIMIT 7
+    """)
+    daily = [dict(row) for row in cursor.fetchall()]
+    
+    conn.close()
+    
+    stats['daily'] = daily
+    return stats
+
+
+if __name__ == '__main__':
+    # DB 초기화 테스트
+    init_db()
+    print("KIMS 로그 DB 초기화 완료!")

backend/db/kims_logs_schema.sql

@@ -0,0 +1,86 @@
+-- KIMS API 로그 테이블 스키마
+-- AI 학습 데이터로 활용 예정
+
+-- 1. API 호출 로그 (메인)
+CREATE TABLE IF NOT EXISTS kims_api_logs (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    
+    -- 호출 컨텍스트
+    pre_serial TEXT,                    -- 처방번호
+    user_id INTEGER,                    -- 마일리지 회원 ID (있으면)
+    source TEXT DEFAULT 'admin',        -- 호출 소스 (admin, api, batch 등)
+    
+    -- 요청 데이터
+    request_drug_codes TEXT NOT NULL,   -- JSON: ["055101150", "622801610"]
+    request_drug_names TEXT,            -- JSON: ["오메프투캡슐", "락소펜엠정"]
+    request_drug_count INTEGER,         -- 요청 약품 수
+    
+    -- 응답 데이터
+    api_status TEXT NOT NULL,           -- SUCCESS, ERROR, TIMEOUT
+    http_status INTEGER,                -- HTTP 상태 코드
+    response_time_ms INTEGER,           -- 응답 시간 (밀리초)
+    
+    -- 상호작용 결과
+    interaction_count INTEGER DEFAULT 0,     -- 발견된 상호작용 수
+    has_severe_interaction INTEGER DEFAULT 0, -- 심각한 상호작용 여부 (1/2 등급)
+    
+    -- 상세 데이터 (JSON)
+    interactions_json TEXT,             -- 상호작용 상세 정보 JSON
+    response_raw TEXT,                  -- 전체 API 응답 (디버깅/학습용)
+    
+    -- 에러 정보
+    error_message TEXT
+);
+
+-- 2. 상호작용 상세 (정규화, AI 학습용)
+CREATE TABLE IF NOT EXISTS kims_interactions (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    log_id INTEGER NOT NULL,            -- kims_api_logs.id FK
+    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    
+    -- 약품 1
+    drug1_code TEXT NOT NULL,
+    drug1_name TEXT,
+    drug1_generic TEXT,                 -- 성분명 (영문)
+    
+    -- 약품 2
+    drug2_code TEXT NOT NULL,
+    drug2_name TEXT,
+    drug2_generic TEXT,                 -- 성분명 (영문)
+    
+    -- 상호작용 정보
+    severity_level INTEGER,             -- 1=심각, 2=중등도, 3=경미, 4=참고
+    severity_desc TEXT,                 -- 심각도 설명 (중증, 경미 등)
+    likelihood_level INTEGER,           -- 발생 가능성
+    likelihood_desc TEXT,
+    
+    -- 상세 설명 (AI 학습 핵심 데이터)
+    observation TEXT,                   -- 상호작용 설명 (한글)
+    observation_generic TEXT,           -- 일반적 설명
+    clinical_management TEXT,           -- 임상적 관리 방법
+    action_to_take TEXT,                -- 권장 조치
+    reference TEXT,                     -- 참고문헌
+    
+    FOREIGN KEY (log_id) REFERENCES kims_api_logs(id)
+);
+
+-- 인덱스
+CREATE INDEX IF NOT EXISTS idx_kims_logs_created ON kims_api_logs(created_at);
+CREATE INDEX IF NOT EXISTS idx_kims_logs_pre_serial ON kims_api_logs(pre_serial);
+CREATE INDEX IF NOT EXISTS idx_kims_logs_status ON kims_api_logs(api_status);
+CREATE INDEX IF NOT EXISTS idx_kims_interactions_log ON kims_interactions(log_id);
+CREATE INDEX IF NOT EXISTS idx_kims_interactions_drugs ON kims_interactions(drug1_code, drug2_code);
+CREATE INDEX IF NOT EXISTS idx_kims_interactions_severity ON kims_interactions(severity_level);
+
+-- 통계 뷰
+CREATE VIEW IF NOT EXISTS kims_stats AS
+SELECT 
+    DATE(created_at) as date,
+    COUNT(*) as total_calls,
+    SUM(CASE WHEN api_status = 'SUCCESS' THEN 1 ELSE 0 END) as success_count,
+    SUM(CASE WHEN interaction_count > 0 THEN 1 ELSE 0 END) as with_interaction,
+    SUM(CASE WHEN has_severe_interaction = 1 THEN 1 ELSE 0 END) as with_severe,
+    AVG(response_time_ms) as avg_response_ms
+FROM kims_api_logs
+GROUP BY DATE(created_at);

backend/db/mileage_schema.sql

@@ -9,6 +9,7 @@ CREATE TABLE IF NOT EXISTS users (
     email VARCHAR(200),
     is_email_verified BOOLEAN DEFAULT FALSE,
     phone VARCHAR(20),
+    birthday VARCHAR(10),
     mileage_balance INTEGER DEFAULT 0,
     created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
     updated_at DATETIME DEFAULT CURRENT_TIMESTAMP
@@ -21,6 +22,9 @@ CREATE TABLE IF NOT EXISTS customer_identities (
     provider VARCHAR(20) NOT NULL,
     provider_user_id VARCHAR(100) NOT NULL,
     provider_data TEXT,
+    access_token TEXT,
+    refresh_token TEXT,
+    token_expires_at DATETIME,
     created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
     FOREIGN KEY (user_id) REFERENCES users(id),
     UNIQUE(provider, provider_user_id)
@@ -79,3 +83,84 @@ CREATE TABLE IF NOT EXISTS pos_customer_links (
 );
 
 CREATE INDEX IF NOT EXISTS idx_links_cuscode ON pos_customer_links(cuscode);
+
+-- 6. 알림톡 발송 로그 테이블
+CREATE TABLE IF NOT EXISTS alimtalk_logs (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    template_code VARCHAR(50) NOT NULL,
+    recipient_no VARCHAR(20) NOT NULL,
+    user_id INTEGER,
+    trigger_source VARCHAR(20) NOT NULL,       -- 'kiosk', 'admin', 'manual' 등
+    template_params TEXT,                       -- JSON 문자열
+    success BOOLEAN NOT NULL,
+    result_message TEXT,
+    transaction_id VARCHAR(20),
+    created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
+    FOREIGN KEY (user_id) REFERENCES users(id)
+);
+
+CREATE INDEX IF NOT EXISTS idx_alimtalk_created ON alimtalk_logs(created_at);
+CREATE INDEX IF NOT EXISTS idx_alimtalk_recipient ON alimtalk_logs(recipient_no);
+
+-- 7. AI 추천 테이블
+CREATE TABLE IF NOT EXISTS ai_recommendations (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    user_id INTEGER NOT NULL,
+    transaction_id VARCHAR(20),
+    recommended_product TEXT NOT NULL,
+    recommendation_message TEXT NOT NULL,
+    recommendation_reason TEXT,
+    trigger_products TEXT,
+    ai_raw_response TEXT,
+    status VARCHAR(20) DEFAULT 'active',
+    displayed_count INTEGER DEFAULT 0,
+    created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
+    expires_at DATETIME,
+    displayed_at DATETIME,
+    dismissed_at DATETIME,
+    FOREIGN KEY (user_id) REFERENCES users(id)
+);
+
+CREATE INDEX IF NOT EXISTS idx_rec_user_status ON ai_recommendations(user_id, status);
+CREATE INDEX IF NOT EXISTS idx_rec_expires ON ai_recommendations(expires_at);
+
+-- 8. 반려동물 테이블
+CREATE TABLE IF NOT EXISTS pets (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    user_id INTEGER NOT NULL,
+    name VARCHAR(50) NOT NULL,                  -- 이름 (예: 뽀삐, 나비)
+    species VARCHAR(20) NOT NULL,               -- 종류: dog, cat, other
+    breed VARCHAR(50),                          -- 품종 (말티즈, 페르시안 등)
+    gender VARCHAR(10),                         -- male, female, unknown
+    birth_date DATE,                            -- 생년월일 (나중에 사용)
+    age_months INTEGER,                         -- 월령 (나중에 사용)
+    weight DECIMAL(5,2),                        -- 체중 kg (나중에 사용)
+    photo_url TEXT,                             -- 사진 URL
+    notes TEXT,                                 -- 특이사항/메모
+    is_active BOOLEAN DEFAULT TRUE,             -- 활성 상태
+    created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
+    updated_at DATETIME DEFAULT CURRENT_TIMESTAMP,
+    FOREIGN KEY (user_id) REFERENCES users(id)
+);
+
+CREATE INDEX IF NOT EXISTS idx_pets_user ON pets(user_id);
+CREATE INDEX IF NOT EXISTS idx_pets_species ON pets(species);
+
+-- 9. OTC 용법 라벨 테이블 (바코드 기준 오버라이드 데이터)
+CREATE TABLE IF NOT EXISTS otc_label_presets (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    barcode VARCHAR(20) NOT NULL UNIQUE,        -- 바코드 (PK 역할)
+    drug_code VARCHAR(20),                      -- MSSQL DrugCode (참조용)
+    display_name VARCHAR(100),                  -- 표시 이름 (오버라이드, NULL이면 MSSQL 이름 사용)
+    effect VARCHAR(100),                        -- 효능 (예: "치통, 두통")
+    dosage_instruction TEXT,                    -- 용법 (예: "1일 3회, 1회 1정, 식후 30분")
+    usage_tip TEXT,                             -- 부가 설명 (예: "[통증 시에만 복용]")
+    use_wide_format BOOLEAN DEFAULT TRUE,       -- 와이드 포맷 사용 여부
+    print_count INTEGER DEFAULT 0,              -- 인쇄 횟수 (통계용)
+    last_printed_at DATETIME,                   -- 마지막 인쇄 시간
+    created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
+    updated_at DATETIME DEFAULT CURRENT_TIMESTAMP
+);
+
+CREATE INDEX IF NOT EXISTS idx_otc_label_barcode ON otc_label_presets(barcode);
+CREATE INDEX IF NOT EXISTS idx_otc_label_drug_code ON otc_label_presets(drug_code);

backend/db/paai_logger.py

@@ -0,0 +1,388 @@
+"""
+PAAI (Pharmacist Assistant AI) 로깅 모듈
+- API 호출/응답 SQLite 저장
+- 분석 결과 및 피드백 관리
+"""
+import sqlite3
+import json
+import os
+from datetime import datetime, timedelta
+from pathlib import Path
+
+# DB 파일 경로
+DB_PATH = Path(__file__).parent / 'paai_logs.db'
+
+
+def init_db():
+    """DB 초기화 (테이블 생성)"""
+    schema_path = Path(__file__).parent / 'paai_logs_schema.sql'
+    
+    conn = sqlite3.connect(str(DB_PATH))
+    cursor = conn.cursor()
+    
+    with open(schema_path, 'r', encoding='utf-8') as f:
+        schema = f.read()
+        cursor.executescript(schema)
+    
+    conn.commit()
+    conn.close()
+    print(f"PAAI 로그 DB 초기화 완료: {DB_PATH}")
+
+
+def create_log(
+    pre_serial: str = None,
+    patient_code: str = None,
+    patient_name: str = None,
+    disease_code_1: str = None,
+    disease_name_1: str = None,
+    disease_code_2: str = None,
+    disease_name_2: str = None,
+    current_medications: list = None,
+    previous_serial: str = None,
+    previous_medications: list = None,
+    prescription_changes: dict = None,
+    otc_history: dict = None
+) -> int:
+    """
+    PAAI 분석 로그 생성 (초기 상태)
+    
+    Returns:
+        log_id: 생성된 로그 ID
+    """
+    if not DB_PATH.exists():
+        init_db()
+    
+    conn = sqlite3.connect(str(DB_PATH))
+    cursor = conn.cursor()
+    
+    current_medications = current_medications or []
+    previous_medications = previous_medications or []
+    otc_history = otc_history or {}
+    
+    # 환자명 마스킹
+    masked_name = None
+    if patient_name:
+        masked_name = patient_name[0] + '*' * (len(patient_name) - 1) if len(patient_name) > 1 else patient_name
+    
+    cursor.execute("""
+        INSERT INTO paai_logs (
+            pre_serial, patient_code, patient_name,
+            disease_code_1, disease_name_1, disease_code_2, disease_name_2,
+            current_medications, current_med_count,
+            previous_serial, previous_medications, prescription_changes,
+            otc_history, otc_visit_count,
+            status
+        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 'pending')
+    """, (
+        pre_serial,
+        patient_code,
+        masked_name,
+        disease_code_1,
+        disease_name_1,
+        disease_code_2,
+        disease_name_2,
+        json.dumps(current_medications, ensure_ascii=False),
+        len(current_medications),
+        previous_serial,
+        json.dumps(previous_medications, ensure_ascii=False),
+        json.dumps(prescription_changes, ensure_ascii=False) if prescription_changes else None,
+        json.dumps(otc_history, ensure_ascii=False),
+        otc_history.get('visit_count', 0)
+    ))
+    
+    log_id = cursor.lastrowid
+    conn.commit()
+    conn.close()
+    
+    return log_id
+
+
+def update_kims_result(
+    log_id: int,
+    kims_drug_codes: list = None,
+    kims_interactions: list = None,
+    kims_response_time_ms: int = 0
+):
+    """KIMS 상호작용 결과 업데이트"""
+    conn = sqlite3.connect(str(DB_PATH))
+    cursor = conn.cursor()
+    
+    kims_drug_codes = kims_drug_codes or []
+    kims_interactions = kims_interactions or []
+    
+    # 심각한 상호작용 여부 (severity 1 또는 2)
+    has_severe = any(
+        str(i.get('severity', '5')) in ['1', '2'] 
+        for i in kims_interactions
+    )
+    
+    cursor.execute("""
+        UPDATE paai_logs SET
+            kims_drug_codes = ?,
+            kims_drug_count = ?,
+            kims_interactions = ?,
+            kims_interaction_count = ?,
+            kims_has_severe = ?,
+            kims_response_time_ms = ?,
+            status = 'kims_done'
+        WHERE id = ?
+    """, (
+        json.dumps(kims_drug_codes, ensure_ascii=False),
+        len(kims_drug_codes),
+        json.dumps(kims_interactions, ensure_ascii=False),
+        len(kims_interactions),
+        1 if has_severe else 0,
+        kims_response_time_ms,
+        log_id
+    ))
+    
+    conn.commit()
+    conn.close()
+
+
+def update_ai_result(
+    log_id: int,
+    ai_prompt: str = None,
+    ai_model: str = None,
+    ai_response: dict = None,
+    ai_response_time_ms: int = 0,
+    ai_token_count: int = None
+):
+    """AI 분석 결과 업데이트"""
+    conn = sqlite3.connect(str(DB_PATH))
+    cursor = conn.cursor()
+    
+    cursor.execute("""
+        UPDATE paai_logs SET
+            ai_prompt = ?,
+            ai_model = ?,
+            ai_response = ?,
+            ai_response_time_ms = ?,
+            ai_token_count = ?,
+            status = 'success'
+        WHERE id = ?
+    """, (
+        ai_prompt,
+        ai_model,
+        json.dumps(ai_response, ensure_ascii=False) if ai_response else None,
+        ai_response_time_ms,
+        ai_token_count,
+        log_id
+    ))
+    
+    conn.commit()
+    conn.close()
+
+
+def update_error(log_id: int, error_message: str):
+    """에러 상태 업데이트"""
+    conn = sqlite3.connect(str(DB_PATH))
+    cursor = conn.cursor()
+    
+    cursor.execute("""
+        UPDATE paai_logs SET
+            status = 'error',
+            error_message = ?
+        WHERE id = ?
+    """, (error_message, log_id))
+    
+    conn.commit()
+    conn.close()
+
+
+def update_feedback(log_id: int, useful: bool, comment: str = None):
+    """피드백 업데이트"""
+    conn = sqlite3.connect(str(DB_PATH))
+    cursor = conn.cursor()
+    
+    cursor.execute("""
+        UPDATE paai_logs SET
+            feedback_useful = ?,
+            feedback_comment = ?
+        WHERE id = ?
+    """, (1 if useful else 0, comment, log_id))
+    
+    conn.commit()
+    conn.close()
+
+
+def get_recent_logs(
+    limit: int = 100,
+    status: str = None,
+    has_severe: bool = None,
+    date: str = None
+) -> list:
+    """최근 로그 조회"""
+    if not DB_PATH.exists():
+        return []
+    
+    conn = sqlite3.connect(str(DB_PATH))
+    conn.row_factory = sqlite3.Row
+    cursor = conn.cursor()
+    
+    query = "SELECT * FROM paai_logs WHERE 1=1"
+    params = []
+    
+    if status:
+        query += " AND status = ?"
+        params.append(status)
+    
+    if has_severe is not None:
+        query += " AND kims_has_severe = ?"
+        params.append(1 if has_severe else 0)
+    
+    if date:
+        query += " AND DATE(created_at) = ?"
+        params.append(date)
+    
+    query += " ORDER BY created_at DESC LIMIT ?"
+    params.append(limit)
+    
+    cursor.execute(query, params)
+    rows = cursor.fetchall()
+    
+    result = []
+    for row in rows:
+        log = dict(row)
+        # JSON 필드 파싱
+        for field in ['current_medications', 'previous_medications', 'prescription_changes',
+                      'otc_history', 'kims_drug_codes', 'kims_interactions', 'ai_response']:
+            if log.get(field):
+                try:
+                    log[field] = json.loads(log[field])
+                except:
+                    pass
+        result.append(log)
+    
+    conn.close()
+    return result
+
+
+def get_log_detail(log_id: int) -> dict:
+    """로그 상세 조회"""
+    if not DB_PATH.exists():
+        return None
+    
+    conn = sqlite3.connect(str(DB_PATH))
+    conn.row_factory = sqlite3.Row
+    cursor = conn.cursor()
+    
+    cursor.execute("SELECT * FROM paai_logs WHERE id = ?", (log_id,))
+    row = cursor.fetchone()
+    
+    if not row:
+        conn.close()
+        return None
+    
+    log = dict(row)
+    
+    # JSON 필드 파싱
+    for field in ['current_medications', 'previous_medications', 'prescription_changes',
+                  'otc_history', 'kims_drug_codes', 'kims_interactions', 'ai_response']:
+        if log.get(field):
+            try:
+                log[field] = json.loads(log[field])
+            except:
+                pass
+    
+    conn.close()
+    return log
+
+
+def get_cached_result(pre_serial: str) -> dict:
+    """처방번호로 캐시된 PAAI 결과 조회 (재인쇄용)"""
+    if not DB_PATH.exists():
+        return None
+    
+    conn = sqlite3.connect(str(DB_PATH))
+    conn.row_factory = sqlite3.Row
+    cursor = conn.cursor()
+    
+    # 가장 최근 성공한 분석 결과 조회
+    cursor.execute('''
+        SELECT * FROM paai_logs 
+        WHERE pre_serial = ? AND status = 'success'
+        ORDER BY created_at DESC
+        LIMIT 1
+    ''', (pre_serial,))
+    
+    row = cursor.fetchone()
+    conn.close()
+    
+    if not row:
+        return None
+    
+    result = dict(row)
+    
+    # JSON 파싱
+    import json
+    for field in ['analysis', 'kims_summary', 'raw_response']:
+        if result.get(field):
+            try:
+                result[field] = json.loads(result[field])
+            except:
+                pass
+    
+    return result
+
+
+def get_stats() -> dict:
+    """통계 조회"""
+    if not DB_PATH.exists():
+        return {
+            'total': 0,
+            'today': 0,
+            'success_rate': 0,
+            'avg_response_time': 0,
+            'severe_count': 0
+        }
+    
+    conn = sqlite3.connect(str(DB_PATH))
+    cursor = conn.cursor()
+    
+    today = datetime.now().strftime('%Y-%m-%d')
+    
+    # 전체 건수
+    cursor.execute("SELECT COUNT(*) FROM paai_logs")
+    total = cursor.fetchone()[0]
+    
+    # 오늘 건수
+    cursor.execute("SELECT COUNT(*) FROM paai_logs WHERE DATE(created_at) = ?", (today,))
+    today_count = cursor.fetchone()[0]
+    
+    # 성공률
+    cursor.execute("SELECT COUNT(*) FROM paai_logs WHERE status = 'success'")
+    success_count = cursor.fetchone()[0]
+    success_rate = (success_count / total * 100) if total > 0 else 0
+    
+    # 평균 응답시간
+    cursor.execute("SELECT AVG(ai_response_time_ms) FROM paai_logs WHERE ai_response_time_ms > 0")
+    avg_time = cursor.fetchone()[0] or 0
+    
+    # 심각한 상호작용 건수 (오늘)
+    cursor.execute("""
+        SELECT COUNT(*) FROM paai_logs 
+        WHERE DATE(created_at) = ? AND kims_has_severe = 1
+    """, (today,))
+    severe_count = cursor.fetchone()[0]
+    
+    # 피드백 통계
+    cursor.execute("SELECT COUNT(*) FROM paai_logs WHERE feedback_useful = 1")
+    useful_count = cursor.fetchone()[0]
+    cursor.execute("SELECT COUNT(*) FROM paai_logs WHERE feedback_useful IS NOT NULL")
+    feedback_total = cursor.fetchone()[0]
+    
+    conn.close()
+    
+    return {
+        'total': total,
+        'today': today_count,
+        'success_rate': round(success_rate, 1),
+        'avg_response_time': int(avg_time),
+        'severe_count': severe_count,
+        'feedback': {
+            'useful': useful_count,
+            'total': feedback_total,
+            'rate': round(useful_count / feedback_total * 100, 1) if feedback_total > 0 else 0
+        }
+    }

backend/db/paai_logs_schema.sql

@@ -0,0 +1,59 @@
+-- PAAI (Pharmacist Assistant AI) 로그 스키마
+-- 생성일: 2026-03-04
+
+CREATE TABLE IF NOT EXISTS paai_logs (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
+    
+    -- 요청 정보
+    pre_serial TEXT,                    -- 처방번호
+    patient_code TEXT,                  -- 환자코드 (CusCode)
+    patient_name TEXT,                  -- 환자명 (마스킹: 김**)
+    
+    -- 질병 정보
+    disease_code_1 TEXT,                -- St1 (상병코드1)
+    disease_name_1 TEXT,                -- 상병명1
+    disease_code_2 TEXT,                -- St2 (상병코드2)
+    disease_name_2 TEXT,                -- 상병명2
+    
+    -- 처방 정보
+    current_medications TEXT,           -- JSON: 현재 처방 [{code, name, dosage, ...}]
+    current_med_count INTEGER,          -- 현재 처방 약품 수
+    previous_serial TEXT,               -- 이전 처방번호
+    previous_medications TEXT,          -- JSON: 이전 처방
+    prescription_changes TEXT,          -- JSON: {added, removed, changed}
+    
+    -- OTC 이력
+    otc_history TEXT,                   -- JSON: {purchases, frequent_items}
+    otc_visit_count INTEGER,            -- OTC 구매 횟수
+    
+    -- KIMS 상호작용
+    kims_drug_codes TEXT,               -- JSON: 검사한 KD코드 배열
+    kims_drug_count INTEGER,            -- 검사한 약품 수
+    kims_interactions TEXT,             -- JSON: 상호작용 결과
+    kims_interaction_count INTEGER,     -- 상호작용 건수
+    kims_has_severe BOOLEAN DEFAULT 0,  -- 심각한 상호작용 (severity 1,2)
+    kims_response_time_ms INTEGER,      -- KIMS API 응답시간
+    
+    -- AI 분석
+    ai_prompt TEXT,                     -- AI에 전달한 프롬프트
+    ai_model TEXT,                      -- 사용된 모델
+    ai_response TEXT,                   -- JSON: AI 분석 결과
+    ai_response_time_ms INTEGER,        -- AI 응답 시간
+    ai_token_count INTEGER,             -- 토큰 사용량
+    
+    -- 상태
+    status TEXT DEFAULT 'pending',      -- pending, kims_done, success, error
+    error_message TEXT,
+    
+    -- 피드백
+    feedback_useful INTEGER,            -- 1=유용, 0=아님, NULL=미응답
+    feedback_comment TEXT               -- 약사 코멘트
+);
+
+-- 인덱스
+CREATE INDEX IF NOT EXISTS idx_paai_created ON paai_logs(created_at);
+CREATE INDEX IF NOT EXISTS idx_paai_patient ON paai_logs(patient_code);
+CREATE INDEX IF NOT EXISTS idx_paai_status ON paai_logs(status);
+CREATE INDEX IF NOT EXISTS idx_paai_serial ON paai_logs(pre_serial);
+CREATE INDEX IF NOT EXISTS idx_paai_severe ON paai_logs(kims_has_severe);

backend/db/product_images_schema.sql

@@ -0,0 +1,38 @@
+-- product_images.db 스키마
+-- yakkok.com에서 크롤링한 제품 이미지 저장
+
+CREATE TABLE IF NOT EXISTS product_images (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    barcode TEXT UNIQUE NOT NULL,           -- 바코드 (고유키)
+    drug_code TEXT,                          -- PIT3000 DrugCode
+    product_name TEXT NOT NULL,              -- 제품명
+    search_name TEXT,                        -- 검색에 사용한 이름
+    image_base64 TEXT,                       -- 이미지 (base64)
+    image_url TEXT,                          -- 원본 URL
+    thumbnail_base64 TEXT,                   -- 썸네일 (base64, 작은 사이즈)
+    source TEXT DEFAULT 'yakkok',            -- 출처
+    status TEXT DEFAULT 'pending',           -- pending/success/failed/manual/no_result
+    error_message TEXT,                      -- 실패 시 에러 메시지
+    created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
+    updated_at DATETIME DEFAULT CURRENT_TIMESTAMP
+);
+
+-- 인덱스
+CREATE INDEX IF NOT EXISTS idx_barcode ON product_images(barcode);
+CREATE INDEX IF NOT EXISTS idx_status ON product_images(status);
+CREATE INDEX IF NOT EXISTS idx_drug_code ON product_images(drug_code);
+CREATE INDEX IF NOT EXISTS idx_created_at ON product_images(created_at);
+
+-- 크롤링 로그 테이블
+CREATE TABLE IF NOT EXISTS crawl_logs (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    batch_id TEXT,                           -- 배치 ID
+    total_count INTEGER DEFAULT 0,           -- 전체 개수
+    success_count INTEGER DEFAULT 0,         -- 성공 개수
+    failed_count INTEGER DEFAULT 0,          -- 실패 개수
+    skipped_count INTEGER DEFAULT 0,         -- 스킵 개수 (이미 있음)
+    started_at DATETIME,
+    finished_at DATETIME,
+    status TEXT DEFAULT 'running',           -- running/completed/failed
+    error_message TEXT
+);

backend/db/schema_food_biomarker.sql

@@ -0,0 +1,225 @@
+-- ============================================================
+-- PostgreSQL + Apache AGE 스키마 확장
+-- Food (식품) + Biomarker (바이오마커) 노드 추가
+-- ============================================================
+
+-- 1. 식품 테이블
+CREATE TABLE IF NOT EXISTS foods (
+    food_id SERIAL PRIMARY KEY,
+    food_name TEXT NOT NULL,
+    food_name_en TEXT,
+    category TEXT NOT NULL,  -- 'pro_inflammatory', 'anti_inflammatory', 'neutral'
+    subcategory TEXT,        -- 'high_fat', 'processed_meat', 'sugar', 'alcohol', 'omega3', 'antioxidant'
+    description TEXT,
+    serving_size TEXT,       -- '100g', '1컵' 등
+    kcal_per_serving REAL,
+    created_at TIMESTAMP DEFAULT NOW()
+);
+
+-- 인덱스
+CREATE INDEX idx_foods_category ON foods(category);
+CREATE INDEX idx_foods_subcategory ON foods(subcategory);
+
+-- 샘플 데이터
+INSERT INTO foods (food_name, food_name_en, category, subcategory, description) VALUES
+('고지방 식품', 'High-fat foods', 'pro_inflammatory', 'high_fat', '튀김, 패스트푸드 등'),
+('포화지방', 'Saturated fat', 'pro_inflammatory', 'high_fat', '동물성 지방, 버터 등'),
+('가공육', 'Processed meat', 'pro_inflammatory', 'processed_meat', '베이컨, 소시지, 햄'),
+('적색육', 'Red meat', 'pro_inflammatory', 'red_meat', '소고기, 돼지고기'),
+('알코올', 'Alcohol', 'pro_inflammatory', 'alcohol', '소주, 맥주, 와인'),
+('설탕', 'Sugar', 'pro_inflammatory', 'sugar', '단 음료, 과자, 케이크'),
+('트랜스지방', 'Trans fat', 'pro_inflammatory', 'trans_fat', '마가린, 쇼트닝'),
+('오메가-3', 'Omega-3', 'anti_inflammatory', 'omega3', '등푸른 생선, 들기름'),
+('커큐민', 'Curcumin', 'anti_inflammatory', 'antioxidant', '강황 추출물'),
+('블루베리', 'Blueberry', 'anti_inflammatory', 'antioxidant', '항산화 과일')
+ON CONFLICT DO NOTHING;
+
+
+-- 2. 바이오마커 테이블
+CREATE TABLE IF NOT EXISTS biomarkers (
+    biomarker_id SERIAL PRIMARY KEY,
+    biomarker_name TEXT UNIQUE NOT NULL,
+    biomarker_type TEXT NOT NULL,  -- 'inflammatory_cytokine', 'lipid', 'glucose', 'hormone'
+    normal_range_min REAL,
+    normal_range_max REAL,
+    unit TEXT,                     -- 'pg/mL', 'mg/dL' 등
+    description TEXT,
+    created_at TIMESTAMP DEFAULT NOW()
+);
+
+-- 인덱스
+CREATE INDEX idx_biomarkers_type ON biomarkers(biomarker_type);
+
+-- 샘플 데이터
+INSERT INTO biomarkers (biomarker_name, biomarker_type, normal_range_min, normal_range_max, unit, description) VALUES
+('IL-1β', 'inflammatory_cytokine', 0, 5, 'pg/mL', 'Interleukin-1 beta, 염증성 사이토카인'),
+('IL-6', 'inflammatory_cytokine', 0, 7, 'pg/mL', 'Interleukin-6, 염증성 사이토카인'),
+('TNF-α', 'inflammatory_cytokine', 0, 8.1, 'pg/mL', 'Tumor Necrosis Factor alpha'),
+('CRP', 'inflammatory_marker', 0, 3, 'mg/L', 'C-Reactive Protein, 염증 지표'),
+('LDL', 'lipid', 0, 130, 'mg/dL', 'Low-Density Lipoprotein, 나쁜 콜레스테롤'),
+('HDL', 'lipid', 40, 200, 'mg/dL', 'High-Density Lipoprotein, 좋은 콜레스테롤')
+ON CONFLICT DO NOTHING;
+
+
+-- 3. 식품-바이오마커 관계 테이블 (SQL 레벨)
+CREATE TABLE IF NOT EXISTS food_biomarker_effects (
+    id SERIAL PRIMARY KEY,
+    food_id INTEGER REFERENCES foods(food_id),
+    biomarker_id INTEGER REFERENCES biomarkers(biomarker_id),
+    effect_type TEXT NOT NULL,     -- 'increases', 'decreases', 'no_effect'
+    magnitude TEXT,                 -- 'high', 'moderate', 'low'
+    percent_change REAL,            -- 증감률 (예: 30.0 = 30% 증가)
+    mechanism TEXT,                 -- 'NLRP3_inflammasome', 'oxidative_stress' 등
+    evidence_pmid TEXT,             -- PubMed ID
+    study_type TEXT,                -- 'RCT', 'Meta-analysis', 'Cohort'
+    reliability REAL,               -- 0.0 ~ 1.0
+    created_at TIMESTAMP DEFAULT NOW()
+);
+
+-- 인덱스
+CREATE INDEX idx_food_biomarker_effect ON food_biomarker_effects(effect_type);
+CREATE INDEX idx_food_biomarker_pmid ON food_biomarker_effects(evidence_pmid);
+
+-- 샘플 데이터 (IL-1β 증가시키는 식품)
+INSERT INTO food_biomarker_effects (food_id, biomarker_id, effect_type, magnitude, percent_change, mechanism, evidence_pmid, study_type, reliability) VALUES
+-- 고지방 식품 → IL-1β 증가
+((SELECT food_id FROM foods WHERE food_name = '고지방 식품'),
+ (SELECT biomarker_id FROM biomarkers WHERE biomarker_name = 'IL-1β'),
+ 'increases', 'high', 50.0, 'NLRP3_inflammasome_activation', '36776889', 'RCT', 0.95),
+
+-- 포화지방 → IL-1β 증가
+((SELECT food_id FROM foods WHERE food_name = '포화지방'),
+ (SELECT biomarker_id FROM biomarkers WHERE biomarker_name = 'IL-1β'),
+ 'increases', 'moderate', 35.0, 'myeloid_inflammasome', '40864681', 'RCT', 0.90),
+
+-- 가공육 → IL-1β 증가
+((SELECT food_id FROM foods WHERE food_name = '가공육'),
+ (SELECT biomarker_id FROM biomarkers WHERE biomarker_name = 'IL-1β'),
+ 'increases', 'moderate', 30.0, 'AGE_formation', '40952033', 'Cohort', 0.85),
+
+-- 알코올 → IL-1β 증가
+((SELECT food_id FROM foods WHERE food_name = '알코올'),
+ (SELECT biomarker_id FROM biomarkers WHERE biomarker_name = 'IL-1β'),
+ 'increases', 'high', 45.0, 'autophagy_inhibition', '30964198', 'RCT', 0.92),
+
+-- 오메가-3 → IL-1β 감소
+((SELECT food_id FROM foods WHERE food_name = '오메가-3'),
+ (SELECT biomarker_id FROM biomarkers WHERE biomarker_name = 'IL-1β'),
+ 'decreases', 'moderate', -30.0, 'anti_inflammatory', '12345678', 'Meta-analysis', 0.95)
+ON CONFLICT DO NOTHING;
+
+
+-- 4. 질병-바이오마커 관계 테이블
+CREATE TABLE IF NOT EXISTS disease_biomarker_association (
+    id SERIAL PRIMARY KEY,
+    disease_icd_code TEXT,          -- ICD-10 코드
+    disease_name TEXT NOT NULL,
+    biomarker_id INTEGER REFERENCES biomarkers(biomarker_id),
+    association_strength REAL,      -- 0.0 ~ 1.0
+    threshold_value REAL,           -- 위험 기준값
+    description TEXT,
+    evidence_pmid TEXT,
+    created_at TIMESTAMP DEFAULT NOW()
+);
+
+-- 샘플 데이터
+INSERT INTO disease_biomarker_association (disease_icd_code, disease_name, biomarker_id, association_strength, threshold_value, description, evidence_pmid) VALUES
+('K76.0', 'NAFLD (비알코올성 지방간)',
+ (SELECT biomarker_id FROM biomarkers WHERE biomarker_name = 'IL-1β'),
+ 0.85, 10.0, 'IL-1β 10 pg/mL 이상 시 NAFLD 위험 증가', '36776889'),
+
+('I25', '죽상동맥경화증',
+ (SELECT biomarker_id FROM biomarkers WHERE biomarker_name = 'IL-1β'),
+ 0.90, 8.0, 'IL-1β 상승 시 심혈관 질환 위험', '39232165'),
+
+('M06', '류마티스 관절염',
+ (SELECT biomarker_id FROM biomarkers WHERE biomarker_name = 'IL-1β'),
+ 0.92, 7.0, 'IL-1β가 관절 염증 악화 인자', '12345678')
+ON CONFLICT DO NOTHING;
+
+
+-- 5. 뷰: 식품별 바이오마커 영향 요약
+CREATE OR REPLACE VIEW v_food_biomarker_summary AS
+SELECT
+    f.food_name,
+    f.category,
+    b.biomarker_name,
+    fbe.effect_type,
+    fbe.magnitude,
+    fbe.percent_change,
+    fbe.mechanism,
+    fbe.evidence_pmid,
+    fbe.reliability
+FROM foods f
+JOIN food_biomarker_effects fbe ON f.food_id = fbe.food_id
+JOIN biomarkers b ON fbe.biomarker_id = b.biomarker_id
+ORDER BY f.category, fbe.effect_type, fbe.magnitude DESC;
+
+
+-- 6. 뷰: IL-1β 증가시키는 식품 목록
+CREATE OR REPLACE VIEW v_il1beta_increasing_foods AS
+SELECT
+    f.food_name,
+    f.subcategory,
+    fbe.magnitude AS 위험도,
+    fbe.percent_change AS 증가율,
+    fbe.mechanism AS 메커니즘,
+    fbe.evidence_pmid AS 근거논문,
+    fbe.reliability AS 신뢰도
+FROM foods f
+JOIN food_biomarker_effects fbe ON f.food_id = fbe.food_id
+JOIN biomarkers b ON fbe.biomarker_id = b.biomarker_id
+WHERE b.biomarker_name = 'IL-1β'
+  AND fbe.effect_type = 'increases'
+ORDER BY
+    CASE fbe.magnitude
+        WHEN 'high' THEN 1
+        WHEN 'moderate' THEN 2
+        WHEN 'low' THEN 3
+    END,
+    fbe.percent_change DESC;
+
+
+-- 7. 함수: 특정 질병 환자가 피해야 할 식품 목록
+CREATE OR REPLACE FUNCTION get_foods_to_avoid(disease_icd TEXT)
+RETURNS TABLE (
+    food_name TEXT,
+    reason TEXT,
+    biomarker TEXT,
+    evidence_pmid TEXT
+) AS $$
+BEGIN
+    RETURN QUERY
+    SELECT DISTINCT
+        f.food_name,
+        '바이오마커 ' || b.biomarker_name || ' 증가로 ' || dba.disease_name || ' 위험' AS reason,
+        b.biomarker_name AS biomarker,
+        fbe.evidence_pmid
+    FROM foods f
+    JOIN food_biomarker_effects fbe ON f.food_id = fbe.food_id
+    JOIN biomarkers b ON fbe.biomarker_id = b.biomarker_id
+    JOIN disease_biomarker_association dba ON b.biomarker_id = dba.biomarker_id
+    WHERE dba.disease_icd_code = disease_icd
+      AND fbe.effect_type = 'increases'
+    ORDER BY f.food_name;
+END;
+$$ LANGUAGE plpgsql;
+
+
+-- 8. 검색 최적화를 위한 전문 검색 인덱스
+ALTER TABLE foods ADD COLUMN IF NOT EXISTS search_vector tsvector;
+UPDATE foods SET search_vector = to_tsvector('korean', coalesce(food_name, '') || ' ' || coalesce(description, ''));
+CREATE INDEX IF NOT EXISTS idx_foods_search ON foods USING GIN(search_vector);
+
+
+-- 완료 메시지
+DO $$
+BEGIN
+    RAISE NOTICE '✅ 식품-바이오마커 스키마 확장 완료';
+    RAISE NOTICE '   - foods 테이블: 식품 마스터';
+    RAISE NOTICE '   - biomarkers 테이블: 바이오마커';
+    RAISE NOTICE '   - food_biomarker_effects 테이블: 식품-바이오마커 관계';
+    RAISE NOTICE '   - disease_biomarker_association 테이블: 질병-바이오마커 관계';
+    RAISE NOTICE '   - v_il1beta_increasing_foods 뷰: IL-1β 증가 식품';
+    RAISE NOTICE '   - get_foods_to_avoid(disease_icd) 함수: 질병별 피해야 할 식품';
+END $$;

backend/dongwon_api.py

@@ -0,0 +1,267 @@
+# -*- coding: utf-8 -*-
+"""
+동원약품 도매상 API - Flask Blueprint
+
+핵심 로직은 wholesale 패키지에서 가져옴
+이 파일은 Flask 웹 API 연동만 담당
+"""
+
+import time
+import logging
+from datetime import datetime
+
+from flask import Blueprint, jsonify, request as flask_request
+
+# wholesale 패키지 경로 설정
+import wholesale_path
+
+# wholesale 패키지에서 핵심 클래스 가져오기
+from wholesale import DongwonSession
+
+logger = logging.getLogger(__name__)
+
+# Blueprint 생성
+dongwon_bp = Blueprint('dongwon', __name__, url_prefix='/api/dongwon')
+
+
+# ========== 세션 관리 ==========
+
+_dongwon_session = None
+
+def get_dongwon_session():
+    global _dongwon_session
+    if _dongwon_session is None:
+        _dongwon_session = DongwonSession()
+    return _dongwon_session
+
+
+def search_dongwon_stock(keyword: str, search_type: str = 'name'):
+    """동원약품 재고 검색"""
+    try:
+        session = get_dongwon_session()
+        result = session.search_products(keyword)
+        
+        if result.get('success'):
+            return {
+                'success': True,
+                'keyword': keyword,
+                'search_type': search_type,
+                'count': result.get('total', 0),
+                'items': result.get('items', [])
+            }
+        else:
+            return result
+        
+    except Exception as e:
+        logger.error(f"동원약품 검색 오류: {e}")
+        return {'success': False, 'error': 'SEARCH_ERROR', 'message': str(e)}
+
+
+# ========== Flask API Routes ==========
+
+@dongwon_bp.route('/stock', methods=['GET'])
+def api_dongwon_stock():
+    """
+    동원약품 재고 조회 API
+    
+    GET /api/dongwon/stock?keyword=타이레놀
+    """
+    keyword = flask_request.args.get('keyword', '').strip()
+    
+    if not keyword:
+        return jsonify({
+            'success': False,
+            'error': 'MISSING_PARAM',
+            'message': 'keyword 파라미터가 필요합니다.'
+        }), 400
+    
+    result = search_dongwon_stock(keyword)
+    return jsonify(result)
+
+
+@dongwon_bp.route('/session', methods=['GET'])
+def api_dongwon_session():
+    """동원약품 세션 상태 확인"""
+    session = get_dongwon_session()
+    return jsonify({
+        'logged_in': getattr(session, '_logged_in', False),
+        'last_login': getattr(session, '_last_login', 0),
+        'session_age_sec': int(time.time() - session._last_login) if getattr(session, '_last_login', 0) else None
+    })
+
+
+@dongwon_bp.route('/balance', methods=['GET'])
+def api_dongwon_balance():
+    """
+    동원약품 잔고 조회 API
+    
+    GET /api/dongwon/balance
+    
+    Returns:
+        {
+            "success": true,
+            "balance": 7080018,         // 당월 잔고
+            "prev_balance": 5407528,    // 전월 잔고
+            "trade_amount": 1672490,    // 거래 금액
+            "payment_amount": 0         // 결제 금액
+        }
+    """
+    try:
+        session = get_dongwon_session()
+        result = session.get_balance()
+        return jsonify(result)
+    except Exception as e:
+        logger.error(f"동원약품 잔고 조회 오류: {e}")
+        return jsonify({
+            'success': False,
+            'error': 'BALANCE_ERROR',
+            'message': str(e),
+            'balance': 0
+        }), 500
+
+
+@dongwon_bp.route('/monthly-orders', methods=['GET'])
+def api_dongwon_monthly_orders():
+    """
+    동원약품 월간 주문 조회 API
+    
+    GET /api/dongwon/monthly-orders?year=2026&month=3
+    
+    Returns:
+        {
+            "success": true,
+            "year": 2026,
+            "month": 3,
+            "total_amount": 1815115,    // 주문 총액
+            "approved_amount": 1672490, // 승인 금액
+            "order_count": 23           // 주문 건수
+        }
+    """
+    year = flask_request.args.get('year', type=int)
+    month = flask_request.args.get('month', type=int)
+    
+    # 기본값: 현재 월
+    if not year or not month:
+        now = datetime.now()
+        year = year or now.year
+        month = month or now.month
+    
+    try:
+        session = get_dongwon_session()
+        result = session.get_monthly_orders(year, month)
+        return jsonify(result)
+    except Exception as e:
+        logger.error(f"동원약품 월간 주문 조회 오류: {e}")
+        return jsonify({
+            'success': False,
+            'error': 'MONTHLY_ORDERS_ERROR',
+            'message': str(e)
+        }), 500
+
+
+@dongwon_bp.route('/cart', methods=['GET'])
+def api_dongwon_cart():
+    """
+    동원약품 장바구니 조회 API
+    
+    GET /api/dongwon/cart
+    """
+    try:
+        session = get_dongwon_session()
+        result = session.get_cart()
+        return jsonify(result)
+    except Exception as e:
+        logger.error(f"동원약품 장바구니 조회 오류: {e}")
+        return jsonify({
+            'success': False,
+            'error': 'CART_ERROR',
+            'message': str(e)
+        }), 500
+
+
+@dongwon_bp.route('/cart/add', methods=['POST'])
+def api_dongwon_cart_add():
+    """
+    동원약품 장바구니 추가 API
+    
+    POST /api/dongwon/cart/add
+    {
+        "item_code": "A4394",
+        "quantity": 2
+    }
+    """
+    data = flask_request.get_json() or {}
+    item_code = data.get('item_code', '').strip()
+    quantity = data.get('quantity', 1)
+    
+    if not item_code:
+        return jsonify({
+            'success': False,
+            'error': 'MISSING_PARAM',
+            'message': 'item_code가 필요합니다.'
+        }), 400
+    
+    try:
+        session = get_dongwon_session()
+        result = session.add_to_cart(item_code, quantity)
+        return jsonify(result)
+    except Exception as e:
+        logger.error(f"동원약품 장바구니 추가 오류: {e}")
+        return jsonify({
+            'success': False,
+            'error': 'CART_ADD_ERROR',
+            'message': str(e)
+        }), 500
+
+
+@dongwon_bp.route('/orders/summary-by-kd', methods=['GET'])
+def api_dongwon_orders_by_kd():
+    """
+    동원약품 주문량 KD코드별 집계 API
+    
+    GET /api/dongwon/orders/summary-by-kd?start_date=2026-03-01&end_date=2026-03-07
+    
+    흐름:
+    1. 주문 목록 API → 주문번호 목록
+    2. 각 주문번호 → HTML 파싱 → ItemCode 목록
+    3. 각 ItemCode → itemInfoAx → KD코드, 규격, 수량
+    4. KD코드별 집계
+    
+    Returns:
+        {
+            "success": true,
+            "order_count": 4,
+            "by_kd_code": {
+                "642900680": {
+                    "product_name": "사미온정10mg",
+                    "spec": "30정(병)",
+                    "boxes": 3,
+                    "units": 90
+                }
+            },
+            "total_products": 15
+        }
+    """
+    from datetime import datetime
+    
+    today = datetime.now()
+    start_date = flask_request.args.get('start_date', today.strftime("%Y-%m-%d")).strip()
+    end_date = flask_request.args.get('end_date', today.strftime("%Y-%m-%d")).strip()
+    
+    try:
+        session = get_dongwon_session()
+        
+        # 새로운 get_orders_by_kd_code 메서드 사용
+        result = session.get_orders_by_kd_code(start_date, end_date)
+        
+        return jsonify(result)
+        
+    except Exception as e:
+        logger.error(f"동원약품 주문량 집계 오류: {e}")
+        return jsonify({
+            'success': False,
+            'error': 'API_ERROR',
+            'message': str(e),
+            'by_kd_code': {},
+            'order_count': 0
+        }), 500

backend/download_js.py

@@ -0,0 +1,85 @@
+# -*- coding: utf-8 -*-
+"""지오영 JS 파일 다운로드 및 분석"""
+
+import requests
+import asyncio
+from playwright.async_api import async_playwright
+import re
+
+async def download_and_analyze():
+    async with async_playwright() as p:
+        browser = await p.chromium.launch(headless=True)
+        page = await browser.new_page()
+        
+        # 로그인
+        await page.goto('https://gwn.geoweb.kr/Member/Login')
+        await page.fill('input[type="text"]', '7390')
+        await page.fill('input[type="password"]', 'trajet6640')
+        await page.click('button, input[type="submit"]')
+        await page.wait_for_load_state('networkidle')
+        
+        cookies = await page.context.cookies()
+        await browser.close()
+    
+    # 세션 설정
+    session = requests.Session()
+    for c in cookies:
+        session.cookies.set(c['name'], c['value'])
+    
+    # JS 파일 다운로드
+    js_urls = [
+        'https://gwn.geoweb.kr/bundles/order_product_cart?v=JPwFQ8DWaNMW1VmbtWYKTJqxT-5255z351W5iZE1qew1',
+        'https://gwn.geoweb.kr/bundles/order?v=PGhSOAjQ9z6ruAJgJUFuhW9tGQSiJeX6ek-ky3E-tOk1'
+    ]
+    
+    for url in js_urls:
+        print(f"\n{'='*60}")
+        print(f"분석: {url.split('/')[-1].split('?')[0]}")
+        print('='*60)
+        
+        resp = session.get(url)
+        content = resp.text
+        
+        # 장바구니/주문 관련 함수 찾기
+        patterns = [
+            (r'function\s+(fn\w*Cart\w*|add\w*Cart\w*|insert\w*Order\w*)\s*\([^)]*\)', 'function'),
+            (r'(fn\w*Cart\w*|add\w*Cart\w*)\s*=\s*function', 'var function'),
+            (r'url\s*:\s*["\']([^"\']*(?:Cart|Order|Add)[^"\']*)["\']', 'ajax url'),
+            (r'\$\.(?:ajax|post|get)\s*\(\s*["\']([^"\']+)["\']', 'ajax call'),
+        ]
+        
+        found = {}
+        for pattern, name in patterns:
+            matches = re.findall(pattern, content, re.IGNORECASE)
+            if matches:
+                for m in matches:
+                    if m not in found:
+                        found[m] = name
+        
+        for item, ptype in found.items():
+            print(f"[{ptype}] {item}")
+        
+        # InsertOrder 함수 찾기
+        if 'InsertOrder' in content or 'insertOrder' in content:
+            print("\n--- InsertOrder 함수 발견! ---")
+            # 해당 부분 추출
+            idx = content.lower().find('insertorder')
+            if idx > 0:
+                snippet = content[max(0, idx-100):idx+500]
+                print(snippet[:600])
+        
+        # AddCart 패턴 찾기
+        add_patterns = re.findall(r'.{50}AddCart.{100}|.{50}addCart.{100}', content, re.IGNORECASE)
+        if add_patterns:
+            print("\n--- AddCart 관련 ---")
+            for p in add_patterns[:3]:
+                print(p)
+        
+        # ajax 호출 상세
+        ajax_pattern = r'\$\.ajax\s*\(\s*\{[^}]{50,500}(Cart|Order)[^}]{0,200}\}'
+        ajax_matches = re.findall(ajax_pattern, content, re.IGNORECASE | re.DOTALL)
+        if ajax_matches:
+            print(f"\n--- AJAX 호출 {len(ajax_matches)}개 발견 ---")
+
+if __name__ == "__main__":
+    asyncio.run(download_and_analyze())

backend/ecosystem.config.js

@@ -0,0 +1,18 @@
+module.exports = {
+  apps: [
+    {
+      name: 'pharmacy-flask',
+      script: 'python',
+      args: 'app.py',
+      cwd: 'c:\\Users\\청춘약국\\source\\pharmacy-pos-qr-system\\backend',
+      interpreter: 'none',
+      watch: false,
+      autorestart: true,
+      max_restarts: 10,
+      env: {
+        FLASK_ENV: 'production',
+        PYTHONIOENCODING: 'utf-8'
+      }
+    }
+  ]
+};

backend/extract_addcart.py

@@ -0,0 +1,86 @@
+# -*- coding: utf-8 -*-
+"""AddCart 함수 전체 추출"""
+
+import requests
+import asyncio
+from playwright.async_api import async_playwright
+import re
+
+async def extract():
+    async with async_playwright() as p:
+        browser = await p.chromium.launch(headless=True)
+        page = await browser.new_page()
+        
+        await page.goto('https://gwn.geoweb.kr/Member/Login')
+        await page.fill('input[type="text"]', '7390')
+        await page.fill('input[type="password"]', 'trajet6640')
+        await page.click('button, input[type="submit"]')
+        await page.wait_for_load_state('networkidle')
+        
+        cookies = await page.context.cookies()
+        await browser.close()
+    
+    session = requests.Session()
+    for c in cookies:
+        session.cookies.set(c['name'], c['value'])
+    
+    resp = session.get('https://gwn.geoweb.kr/bundles/order?v=PGhSOAjQ9z6ruAJgJUFuhW9tGQSiJeX6ek-ky3E-tOk1')
+    content = resp.text
+    
+    # AddCart 함수 전체 찾기
+    # function AddCart(n,t,i){ ... }
+    start = content.find('function AddCart')
+    if start > 0:
+        # 중괄호 매칭으로 함수 끝 찾기
+        depth = 0
+        end = start
+        in_func = False
+        
+        for i in range(start, min(start + 5000, len(content))):
+            if content[i] == '{':
+                depth += 1
+                in_func = True
+            elif content[i] == '}':
+                depth -= 1
+                if in_func and depth == 0:
+                    end = i + 1
+                    break
+        
+        func_content = content[start:end]
+        print("="*60)
+        print("AddCart 함수 전체:")
+        print("="*60)
+        print(func_content)
+        
+        # ajax 호출 찾기
+        ajax_match = re.search(r'\$\.ajax\s*\(\s*\{[^}]+\}', func_content, re.DOTALL)
+        if ajax_match:
+            print("\n" + "="*60)
+            print("AJAX 호출:")
+            print("="*60)
+            print(ajax_match.group())
+    
+    # InsertOrder 함수도 찾기
+    start2 = content.find('function InsertOrder')
+    if start2 > 0:
+        depth = 0
+        end2 = start2
+        in_func = False
+        
+        for i in range(start2, min(start2 + 3000, len(content))):
+            if content[i] == '{':
+                depth += 1
+                in_func = True
+            elif content[i] == '}':
+                depth -= 1
+                if in_func and depth == 0:
+                    end2 = i + 1
+                    break
+        
+        print("\n" + "="*60)
+        print("InsertOrder 함수:")
+        print("="*60)
+        print(content[start2:end2][:1500])
+
+if __name__ == "__main__":
+    asyncio.run(extract())

backend/extract_processcart.py

@@ -0,0 +1,71 @@
+# -*- coding: utf-8 -*-
+"""ProcessCart 함수 추출"""
+
+import requests
+import asyncio
+from playwright.async_api import async_playwright
+
+async def extract():
+    async with async_playwright() as p:
+        browser = await p.chromium.launch(headless=True)
+        page = await browser.new_page()
+        
+        await page.goto('https://gwn.geoweb.kr/Member/Login')
+        await page.fill('input[type="text"]', '7390')
+        await page.fill('input[type="password"]', 'trajet6640')
+        await page.click('button, input[type="submit"]')
+        await page.wait_for_load_state('networkidle')
+        
+        cookies = await page.context.cookies()
+        await browser.close()
+    
+    session = requests.Session()
+    for c in cookies:
+        session.cookies.set(c['name'], c['value'])
+    
+    resp = session.get('https://gwn.geoweb.kr/bundles/order?v=PGhSOAjQ9z6ruAJgJUFuhW9tGQSiJeX6ek-ky3E-tOk1')
+    content = resp.text
+    
+    # ProcessCart 함수 찾기
+    start = content.find('function ProcessCart')
+    if start > 0:
+        depth = 0
+        end = start
+        in_func = False
+        
+        for i in range(start, min(start + 5000, len(content))):
+            if content[i] == '{':
+                depth += 1
+                in_func = True
+            elif content[i] == '}':
+                depth -= 1
+                if in_func and depth == 0:
+                    end = i + 1
+                    break
+        
+        func_content = content[start:end]
+        print("="*60)
+        print("ProcessCart 함수:")
+        print("="*60)
+        print(func_content)
+    else:
+        # 다른 패턴으로 찾기
+        print("ProcessCart를 변수로 찾기...")
+        start = content.find('ProcessCart=function')
+        if start > 0:
+            print(content[start:start+2000])
+        else:
+            # ajax 호출 찾기
+            import re
+            ajax_calls = re.findall(r'\$\.ajax\s*\(\s*\{[^}]{100,1000}(Cart|Order)[^}]{0,500}\}', content, re.IGNORECASE | re.DOTALL)
+            print(f"\nAJAX 호출 {len(ajax_calls)}개 발견")
+            
+            # url 패턴 찾기
+            urls = re.findall(r'url\s*:\s*["\']([^"\']+)["\']', content)
+            print("\n모든 URL:")
+            for url in set(urls):
+                if 'Cart' in url or 'Order' in url or 'Add' in url or 'Insert' in url:
+                    print(f"  {url}")
+
+if __name__ == "__main__":
+    asyncio.run(extract())

backend/find_cart_js.py

@@ -0,0 +1,90 @@
+# -*- coding: utf-8 -*-
+"""지오영 JavaScript에서 장바구니 추가 함수 찾기"""
+
+import requests
+from bs4 import BeautifulSoup
+import asyncio
+from playwright.async_api import async_playwright
+import re
+
+async def analyze_js():
+    async with async_playwright() as p:
+        browser = await p.chromium.launch(headless=True)
+        page = await browser.new_page()
+        
+        # 로그인
+        await page.goto('https://gwn.geoweb.kr/Member/Login')
+        await page.fill('input[type="text"]', '7390')
+        await page.fill('input[type="password"]', 'trajet6640')
+        await page.click('button, input[type="submit"]')
+        await page.wait_for_load_state('networkidle')
+        
+        # 메인 페이지
+        await page.goto('https://gwn.geoweb.kr/Home/Index')
+        await page.wait_for_timeout(3000)
+        
+        # 모든 스크립트 태그 내용 가져오기
+        scripts = await page.evaluate('''() => {
+            var result = [];
+            var scripts = document.querySelectorAll('script');
+            scripts.forEach(s => {
+                if (s.src) {
+                    result.push({type: 'src', url: s.src});
+                }
+                if (s.textContent && s.textContent.length > 100) {
+                    result.push({type: 'inline', content: s.textContent});
+                }
+            });
+            return result;
+        }''')
+        
+        print(f"스크립트 {len(scripts)}개 발견")
+        
+        # 장바구니 관련 함수 찾기
+        for s in scripts:
+            if s['type'] == 'inline':
+                content = s['content']
+                # 담기, Cart, Add 관련 찾기
+                if '담기' in content or 'AddCart' in content or 'addCart' in content or 'InsertOrder' in content:
+                    print("\n" + "="*60)
+                    print("장바구니 관련 스크립트 발견!")
+                    print("="*60)
+                    
+                    # 함수 정의 찾기
+                    func_patterns = [
+                        r'function\s+(\w*[Cc]art\w*)\s*\([^)]*\)\s*{[^}]+}',
+                        r'function\s+(\w*[Aa]dd\w*)\s*\([^)]*\)\s*{[^}]+}',
+                        r'(\w+)\s*=\s*function\s*\([^)]*\)\s*{[^}]*[Cc]art[^}]*}',
+                    ]
+                    
+                    for pattern in func_patterns:
+                        matches = re.findall(pattern, content, re.DOTALL)
+                        for m in matches:
+                            print(f"함수 발견: {m}")
+                    
+                    # ajax 호출 찾기
+                    ajax_pattern = r'\$\.ajax\s*\(\s*{[^}]+url[^}]+}'
+                    ajax_matches = re.findall(ajax_pattern, content, re.DOTALL)
+                    for m in ajax_matches:
+                        if 'cart' in m.lower() or 'order' in m.lower() or 'add' in m.lower():
+                            print(f"\nAJAX 호출:\n{m[:500]}")
+                    
+                    # 일부 내용 출력
+                    lines = content.split('\n')
+                    for i, line in enumerate(lines):
+                        if '담기' in line or 'addCart' in line.lower() or 'insertorder' in line.lower():
+                            print(f"\n관련 라인 {i}:")
+                            print('\n'.join(lines[max(0,i-3):min(len(lines),i+10)]))
+        
+        # 외부 JS 파일 확인
+        print("\n" + "="*60)
+        print("외부 스크립트 파일:")
+        print("="*60)
+        for s in scripts:
+            if s['type'] == 'src':
+                print(s['url'])
+        
+        await browser.close()
+
+if __name__ == "__main__":
+    asyncio.run(analyze_js())

backend/find_frmsave.py

@@ -0,0 +1,82 @@
+# -*- coding: utf-8 -*-
+"""frmSave 폼과 주문 저장 로직 찾기"""
+
+import requests
+from bs4 import BeautifulSoup
+import asyncio
+from playwright.async_api import async_playwright
+import re
+
+async def analyze():
+    async with async_playwright() as p:
+        browser = await p.chromium.launch(headless=True)
+        page = await browser.new_page()
+        
+        # 네트워크 요청 캡처
+        requests_log = []
+        def log_req(req):
+            if req.method == 'POST':
+                requests_log.append({'url': req.url, 'data': req.post_data})
+        page.on('request', log_req)
+        
+        await page.goto('https://gwn.geoweb.kr/Member/Login')
+        await page.fill('input[type="text"]', '7390')
+        await page.fill('input[type="password"]', 'trajet6640')
+        await page.click('button, input[type="submit"]')
+        await page.wait_for_load_state('networkidle')
+        
+        # 메인 페이지
+        await page.goto('https://gwn.geoweb.kr/Home/Index')
+        await page.wait_for_timeout(2000)
+        
+        # 페이지 HTML에서 frmSave 폼 찾기
+        html = await page.content()
+        
+        print("="*60)
+        print("frmSave 폼 찾기:")
+        print("="*60)
+        
+        soup = BeautifulSoup(html, 'html.parser')
+        
+        # 모든 form 찾기
+        forms = soup.find_all('form')
+        for form in forms:
+            form_id = form.get('id', '')
+            form_action = form.get('action', '')
+            print(f"폼: id={form_id}, action={form_action}")
+            
+            if 'save' in form_id.lower() or 'order' in form_id.lower():
+                print(f"  >>> 주문 관련 폼 발견!")
+                inputs = form.find_all('input')
+                for inp in inputs[:10]:
+                    print(f"    - {inp.get('name')}: {inp.get('value', '')[:30]}")
+        
+        # 주문저장 버튼 찾기
+        print("\n" + "="*60)
+        print("주문저장 버튼:")
+        print("="*60)
+        
+        buttons = soup.find_all(['button', 'input'], type=['button', 'submit'])
+        for btn in buttons:
+            text = btn.get_text(strip=True) or btn.get('value', '')
+            onclick = btn.get('onclick', '')
+            if '저장' in text or '주문' in text:
+                print(f"버튼: {text}")
+                print(f"  onclick: {onclick[:100]}")
+        
+        # JavaScript에서 폼 action 찾기
+        scripts = soup.find_all('script')
+        for script in scripts:
+            text = script.get_text() or ''
+            if 'frmSave' in text:
+                print("\n" + "="*60)
+                print("frmSave 관련 스크립트:")
+                print("="*60)
+                # frmSave 근처 코드 출력
+                idx = text.find('frmSave')
+                print(text[max(0,idx-100):idx+300])
+        
+        await browser.close()
+
+if __name__ == "__main__":
+    asyncio.run(analyze())

backend/find_order_api.py

@@ -0,0 +1,70 @@
+# -*- coding: utf-8 -*-
+"""주문 확정 API 찾기"""
+
+import requests
+import asyncio
+from playwright.async_api import async_playwright
+import re
+
+async def find_order_api():
+    async with async_playwright() as p:
+        browser = await p.chromium.launch(headless=True)
+        page = await browser.new_page()
+        
+        await page.goto('https://gwn.geoweb.kr/Member/Login')
+        await page.fill('input[type="text"]', '7390')
+        await page.fill('input[type="password"]', 'trajet6640')
+        await page.click('button, input[type="submit"]')
+        await page.wait_for_load_state('networkidle')
+        
+        cookies = await page.context.cookies()
+        await browser.close()
+    
+    session = requests.Session()
+    for c in cookies:
+        session.cookies.set(c['name'], c['value'])
+    
+    # order.js 다운로드
+    resp = session.get('https://gwn.geoweb.kr/bundles/order?v=PGhSOAjQ9z6ruAJgJUFuhW9tGQSiJeX6ek-ky3E-tOk1')
+    content = resp.text
+    
+    # InsertOrder, ConfirmOrder, SubmitOrder 등 찾기
+    print("="*60)
+    print("주문 관련 함수 찾기")
+    print("="*60)
+    
+    # 함수 찾기
+    funcs = ['InsertOrder', 'ConfirmOrder', 'SubmitOrder', 'SaveOrder', 'ProcessOrder', 'DataOrder']
+    for func in funcs:
+        start = content.find(f'function {func}')
+        if start < 0:
+            start = content.find(f'{func}=function')
+        if start < 0:
+            start = content.find(f'{func}(')
+        
+        if start > 0:
+            print(f"\n{func} 발견!")
+            # 함수 내용 출력
+            snippet = content[max(0, start-20):start+800]
+            print(snippet[:600])
+    
+    # DataOrder URL 찾기
+    print("\n" + "="*60)
+    print("DataOrder 관련")
+    print("="*60)
+    
+    dataorder_pattern = re.findall(r'.{30}DataOrder.{100}', content)
+    for p in dataorder_pattern[:5]:
+        print(p)
+    
+    # 모든 ajax URL 찾기
+    print("\n" + "="*60)
+    print("주문 관련 URL")
+    print("="*60)
+    
+    urls = re.findall(r'url\s*:\s*["\']([^"\']*(?:Order|Submit|Confirm|Save)[^"\']*)["\']', content, re.IGNORECASE)
+    for url in set(urls):
+        print(url)
+
+if __name__ == "__main__":
+    asyncio.run(find_order_api())

backend/find_order_api2.py

@@ -0,0 +1,76 @@
+# -*- coding: utf-8 -*-
+"""주문 확정 API 찾기 - 전체 검색"""
+
+import requests
+import asyncio
+from playwright.async_api import async_playwright
+import re
+
+async def analyze():
+    async with async_playwright() as p:
+        browser = await p.chromium.launch(headless=True)
+        page = await browser.new_page()
+        
+        await page.goto('https://gwn.geoweb.kr/Member/Login')
+        await page.fill('input[type="text"]', '7390')
+        await page.fill('input[type="password"]', 'trajet6640')
+        await page.click('button, input[type="submit"]')
+        await page.wait_for_load_state('networkidle')
+        
+        cookies = await page.context.cookies()
+        await browser.close()
+    
+    session = requests.Session()
+    for c in cookies:
+        session.cookies.set(c['name'], c['value'])
+    
+    # 모든 JS 번들 다운로드
+    js_urls = [
+        'https://gwn.geoweb.kr/bundles/order_product_cart?v=JPwFQ8DWaNMW1VmbtWYKTJqxT-5255z351W5iZE1qew1',
+        'https://gwn.geoweb.kr/bundles/order?v=PGhSOAjQ9z6ruAJgJUFuhW9tGQSiJeX6ek-ky3E-tOk1',
+        'https://gwn.geoweb.kr/bundles/javascript?v=Tn_AqbA-PX_uu3d0zjfQOYS6NPSDLtOVqjW95a949Ow1'
+    ]
+    
+    all_content = ""
+    for url in js_urls:
+        resp = session.get(url)
+        all_content += resp.text + "\n"
+    
+    print(f"총 JS 길이: {len(all_content)}")
+    
+    # 모든 ajax POST URL 찾기
+    print("\n" + "="*60)
+    print("모든 POST URL:")
+    print("="*60)
+    
+    # $.ajax 패턴
+    ajax_patterns = re.findall(r'\$\.ajax\s*\(\s*\{[^}]*url\s*:\s*["\']([^"\']+)["\'][^}]*type\s*:\s*["\']POST["\']', all_content, re.IGNORECASE | re.DOTALL)
+    ajax_patterns += re.findall(r'\$\.ajax\s*\(\s*\{[^}]*type\s*:\s*["\']POST["\'][^}]*url\s*:\s*["\']([^"\']+)["\']', all_content, re.IGNORECASE | re.DOTALL)
+    
+    for url in set(ajax_patterns):
+        print(url)
+    
+    # 주문저장, 저장 관련
+    print("\n" + "="*60)
+    print("저장/주문 관련 키워드:")
+    print("="*60)
+    
+    keywords = ['주문저장', '저장', 'save', 'submit', 'confirm', 'order', 'insert']
+    for kw in keywords:
+        matches = re.findall(rf'.{{50}}{kw}.{{50}}', all_content, re.IGNORECASE)
+        if matches:
+            print(f"\n--- {kw} ---")
+            for m in matches[:3]:
+                print(m.replace('\n', ' ')[:100])
+    
+    # 버튼 onclick 찾기
+    print("\n" + "="*60)
+    print("주문저장 버튼:")
+    print("="*60)
+    
+    save_btn = re.findall(r'주문저장.{0,200}', all_content)
+    for s in save_btn[:5]:
+        print(s[:150])
+
+if __name__ == "__main__":
+    asyncio.run(analyze())

backend/geoyoung_api.py

@@ -0,0 +1,742 @@
+# -*- coding: utf-8 -*-
+"""
+지오영 도매상 API - Flask Blueprint
+
+핵심 로직은 wholesale 패키지에서 가져옴
+이 파일은 Flask 웹 API 연동만 담당
+"""
+
+import re
+import time
+import logging
+
+from flask import Blueprint, jsonify, request
+
+# wholesale 패키지 경로 설정
+import wholesale_path
+
+# wholesale 패키지에서 핵심 클래스 가져오기
+from wholesale import GeoYoungSession
+
+logger = logging.getLogger(__name__)
+
+# Blueprint 생성
+geoyoung_bp = Blueprint('geoyoung', __name__, url_prefix='/api/geoyoung')
+
+
+# ========== 세션 관리 ==========
+
+_geo_session = None
+
+def get_geo_session():
+    global _geo_session
+    if _geo_session is None:
+        _geo_session = GeoYoungSession()
+    return _geo_session
+
+
+def search_geoyoung_stock(keyword: str, include_price: bool = True):
+    """지오영 재고 검색 (동기, 단가 포함)"""
+    try:
+        session = get_geo_session()
+        
+        # 새 API 사용 (단가 포함)
+        result = session.search_products(keyword, include_price=include_price)
+        
+        if result.get('success'):
+            # 기존 형식으로 변환
+            items = [{
+                'insurance_code': item['code'],
+                'internal_code': item.get('internal_code'),
+                'manufacturer': item['manufacturer'],
+                'product_name': item['name'],
+                'specification': item['spec'],
+                'stock': item['stock'],
+                'price': item.get('price', 0),  # 단가 추가!
+                'box_qty': item.get('box_qty'),
+                'case_qty': item.get('case_qty')
+            } for item in result['items']]
+            
+            return {
+                'success': True,
+                'keyword': keyword,
+                'count': len(items),
+                'items': items
+            }
+        else:
+            return {'success': False, 'error': result.get('error'), 'message': '검색 실패'}
+        
+    except Exception as e:
+        logger.error(f"지오영 검색 오류: {e}")
+        return {'success': False, 'error': 'SEARCH_ERROR', 'message': str(e)}
+
+
+# ========== Flask API Routes ==========
+
+@geoyoung_bp.route('/stock', methods=['GET'])
+def api_geoyoung_stock():
+    """
+    지오영 재고 조회 API (빠름)
+    
+    GET /api/geoyoung/stock?kd_code=670400830
+    GET /api/geoyoung/stock?keyword=레바미피드
+    """
+    kd_code = request.args.get('kd_code', '').strip()
+    keyword = request.args.get('keyword', '').strip()
+    
+    search_term = kd_code or keyword
+    
+    if not search_term:
+        return jsonify({
+            'success': False,
+            'error': 'MISSING_PARAM',
+            'message': 'kd_code 또는 keyword 파라미터가 필요합니다'
+        }), 400
+    
+    try:
+        result = search_geoyoung_stock(search_term)
+        return jsonify(result)
+    except Exception as e:
+        logger.error(f"지오영 API 오류: {e}")
+        return jsonify({
+            'success': False,
+            'error': 'API_ERROR',
+            'message': str(e)
+        }), 500
+
+
+@geoyoung_bp.route('/stock-by-name', methods=['GET'])
+def api_geoyoung_stock_by_name():
+    """
+    제품명에서 성분명 추출 후 지오영 검색
+    
+    GET /api/geoyoung/stock-by-name?product_name=휴니즈레바미피드정_(0.1g/1정)
+    """
+    product_name = request.args.get('product_name', '').strip()
+    
+    if not product_name:
+        return jsonify({
+            'success': False,
+            'error': 'MISSING_PARAM',
+            'message': 'product_name 파라미터가 필요합니다'
+        }), 400
+    
+    # 성분명 추출
+    prefixes = ['휴니즈', '휴온스', '대웅', '한미', '종근당', '유한', '녹십자', '동아', '일동', '광동', 
+                '삼성', '안국', '보령', '광동', '경동', '현대', '일양', '태극', '환인', '에스케이']
+    ingredient = product_name
+    
+    for prefix in prefixes:
+        if ingredient.startswith(prefix):
+            ingredient = ingredient[len(prefix):]
+            break
+    
+    match = re.match(r'^([가-힣a-zA-Z]+)', ingredient)
+    if match:
+        ingredient = match.group(1)
+        if ingredient.endswith('정'):
+            ingredient = ingredient[:-1]
+        elif ingredient.endswith('캡슐'):
+            ingredient = ingredient[:-2]
+    
+    if not ingredient:
+        ingredient = product_name[:10]
+    
+    try:
+        result = search_geoyoung_stock(ingredient)
+        result['extracted_ingredient'] = ingredient
+        result['original_product_name'] = product_name
+        return jsonify(result)
+    except Exception as e:
+        logger.error(f"지오영 API 오류: {e}")
+        return jsonify({
+            'success': False,
+            'error': 'API_ERROR',
+            'message': str(e)
+        }), 500
+
+
+@geoyoung_bp.route('/session-status', methods=['GET'])
+def api_session_status():
+    """세션 상태 확인"""
+    session = get_geo_session()
+    return jsonify({
+        'logged_in': session._logged_in,
+        'last_login': session._last_login,
+        'session_age_sec': int(time.time() - session._last_login) if session._last_login else None
+    })
+
+
+@geoyoung_bp.route('/cart', methods=['GET'])
+def api_geoyoung_cart():
+    """장바구니 조회 API"""
+    try:
+        session = get_geo_session()
+        result = session.get_cart()
+        return jsonify(result)
+    except Exception as e:
+        return jsonify({'success': False, 'error': str(e), 'items': []}), 500
+
+
+@geoyoung_bp.route('/cart/clear', methods=['POST'])
+def api_geoyoung_cart_clear():
+    """장바구니 비우기 API"""
+    try:
+        session = get_geo_session()
+        result = session.clear_cart()
+        return jsonify(result)
+    except Exception as e:
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+
+@geoyoung_bp.route('/cart/cancel', methods=['POST'])
+def api_geoyoung_cart_cancel():
+    """
+    장바구니 개별 항목 삭제 API (Hard delete)
+    
+    POST /api/geoyoung/cart/cancel
+    {
+        "row_index": 0,        // 또는
+        "product_code": "008709"
+    }
+    
+    ⚠️ 지오영은 완전 삭제됨 (복원 불가, 다시 추가해야 함)
+    """
+    data = request.get_json() or {}
+    row_index = data.get('row_index')
+    product_code = data.get('product_code')
+    
+    if row_index is None and not product_code:
+        return jsonify({
+            'success': False,
+            'error': 'MISSING_PARAM',
+            'message': 'row_index 또는 product_code 필요'
+        }), 400
+    
+    try:
+        session = get_geo_session()
+        result = session.cancel_item(row_index=row_index, product_code=product_code)
+        return jsonify(result)
+    except Exception as e:
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+
+@geoyoung_bp.route('/cart/restore', methods=['POST'])
+def api_geoyoung_cart_restore():
+    """
+    삭제된 항목 복원 API - 지오영은 Hard delete이므로 지원 안 함
+    
+    Returns:
+        항상 {'success': False, 'error': 'NOT_SUPPORTED'}
+    """
+    return jsonify({
+        'success': False,
+        'error': 'NOT_SUPPORTED',
+        'message': '지오영은 삭제 후 복원 불가 (다시 추가 필요)'
+    }), 400
+
+
+@geoyoung_bp.route('/confirm', methods=['POST'])
+def api_geoyoung_confirm():
+    """주문 확정 API"""
+    data = request.get_json() or {}
+    memo = data.get('memo', '')
+    
+    try:
+        session = get_geo_session()
+        result = session.submit_order(memo)
+        return jsonify(result)
+    except Exception as e:
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+
+@geoyoung_bp.route('/full-order', methods=['POST'])
+def api_geoyoung_full_order():
+    """전체 주문 API (검색 → 장바구니 → 확정)"""
+    data = request.get_json()
+    
+    if not data or not data.get('kd_code'):
+        return jsonify({'success': False, 'error': 'kd_code required'}), 400
+    
+    try:
+        session = get_geo_session()
+        result = session.full_order(
+            kd_code=data['kd_code'],
+            quantity=data.get('quantity', 1),
+            specification=data.get('specification'),
+            check_stock=data.get('check_stock', True),
+            auto_confirm=data.get('auto_confirm', True),
+            memo=data.get('memo', '')
+        )
+        return jsonify(result)
+    except Exception as e:
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+
+@geoyoung_bp.route('/order', methods=['POST'])
+def api_geoyoung_order():
+    """지오영 주문 API (장바구니 추가)"""
+    data = request.get_json()
+    
+    if not data:
+        return jsonify({'success': False, 'error': 'NO_DATA'}), 400
+    
+    kd_code = data.get('kd_code', '').strip()
+    quantity = data.get('quantity', 1)
+    specification = data.get('specification')
+    check_stock = data.get('check_stock', True)
+    
+    if not kd_code:
+        return jsonify({
+            'success': False,
+            'error': 'MISSING_PARAM',
+            'message': 'kd_code가 필요합니다'
+        }), 400
+    
+    try:
+        session = get_geo_session()
+        result = session.quick_order(
+            kd_code=kd_code,
+            quantity=quantity,
+            spec=specification,
+            check_stock=check_stock
+        )
+        return jsonify(result)
+    except Exception as e:
+        logger.error(f"지오영 주문 오류: {e}")
+        return jsonify({
+            'success': False,
+            'error': 'ORDER_ERROR',
+            'message': str(e)
+        }), 500
+
+
+@geoyoung_bp.route('/order-batch', methods=['POST'])
+def api_geoyoung_order_batch():
+    """지오영 일괄 주문 API"""
+    data = request.get_json()
+    
+    if not data or not data.get('items'):
+        return jsonify({'success': False, 'error': 'NO_ITEMS'}), 400
+    
+    items = data.get('items', [])
+    check_stock = data.get('check_stock', True)
+    
+    session = get_geo_session()
+    results = []
+    success_count = 0
+    failed_count = 0
+    
+    for item in items:
+        kd_code = item.get('kd_code', '').strip()
+        quantity = item.get('quantity', 1)
+        specification = item.get('specification')
+        
+        if not kd_code:
+            results.append({
+                'kd_code': kd_code,
+                'success': False,
+                'error': 'MISSING_KD_CODE'
+            })
+            failed_count += 1
+            continue
+        
+        try:
+            result = session.quick_order(
+                kd_code=kd_code,
+                quantity=quantity,
+                spec=specification,
+                check_stock=check_stock
+            )
+            result['kd_code'] = kd_code
+            result['requested_qty'] = quantity
+            results.append(result)
+            
+            if result.get('success'):
+                success_count += 1
+            else:
+                failed_count += 1
+                
+        except Exception as e:
+            results.append({
+                'kd_code': kd_code,
+                'success': False,
+                'error': 'EXCEPTION',
+                'message': str(e)
+            })
+            failed_count += 1
+    
+    return jsonify({
+        'success': True,
+        'total': len(items),
+        'success_count': success_count,
+        'failed_count': failed_count,
+        'results': results
+    })
+
+
+# ========== 잔고 탐색 (임시) ==========
+
+@geoyoung_bp.route('/explore-balance', methods=['GET'])
+def api_explore_balance():
+    """잔고 페이지 탐색 (임시 디버그용)"""
+    from bs4 import BeautifulSoup
+    
+    session = get_geo_session()
+    if not session._logged_in:
+        session.login()
+    
+    results = {
+        'logged_in': session._logged_in,
+        'cookies': len(session.session.cookies),
+        'pages_found': [],
+        'balance_pages': []
+    }
+    
+    # Order 페이지에서 메뉴 링크 수집
+    try:
+        # 먼저 Order 페이지 접근
+        resp = session.session.get(f"{session.BASE_URL}/Home/Order", timeout=10)
+        results['order_page'] = {
+            'status': resp.status_code,
+            'url': resp.url,
+            'is_error': 'Error' in resp.url
+        }
+        
+        if resp.status_code == 200 and 'Error' not in resp.url:
+            soup = BeautifulSoup(resp.text, 'html.parser')
+            
+            # 모든 링크 추출
+            for link in soup.find_all('a', href=True):
+                href = link.get('href', '')
+                text = link.get_text(strip=True)[:50]
+                
+                if href.startswith('/') and href not in [l['href'] for l in results['pages_found']]:
+                    entry = {'href': href, 'text': text}
+                    results['pages_found'].append(entry)
+                    
+                    # 잔고 관련 키워드
+                    keywords = ['account', 'balance', 'trans', 'state', 'history', 'ledger', '잔고', '잔액', '거래', '명세', '내역']
+                    if any(kw in href.lower() or kw in text for kw in keywords):
+                        results['balance_pages'].append(entry)
+    
+    except Exception as e:
+        results['error'] = str(e)
+    
+    return jsonify(results)
+
+
+@geoyoung_bp.route('/balance', methods=['GET'])
+def api_get_balance():
+    """
+    잔고액 조회
+    
+    GET /api/geoyoung/balance
+    """
+    session = get_geo_session()
+    
+    # get_balance 메서드가 있으면 호출
+    if hasattr(session, 'get_balance'):
+        result = session.get_balance()
+        return jsonify(result)
+    else:
+        return jsonify({
+            'success': False,
+            'error': 'NOT_IMPLEMENTED',
+            'message': '지오영 잔고 조회 미구현'
+        }), 501
+
+
+@geoyoung_bp.route('/monthly-sales', methods=['GET'])
+def api_get_monthly_sales():
+    """
+    월간 매출 조회
+    
+    GET /api/geoyoung/monthly-sales?year=2026&month=3
+    """
+    from datetime import datetime
+    
+    year = request.args.get('year', type=int)
+    month = request.args.get('month', type=int)
+    
+    # 기본값: 현재 월
+    if not year or not month:
+        now = datetime.now()
+        year = year or now.year
+        month = month or now.month
+    
+    session = get_geo_session()
+    
+    if hasattr(session, 'get_monthly_sales'):
+        result = session.get_monthly_sales(year, month)
+        return jsonify(result)
+    else:
+        return jsonify({
+            'success': False,
+            'error': 'NOT_IMPLEMENTED',
+            'message': '지오영 월간 매출 조회 미구현'
+        }), 501
+
+
+# ========== 주문 조회 API ==========
+
+@geoyoung_bp.route('/order-list', methods=['GET'])
+def api_geoyoung_order_list():
+    """
+    지오영 주문 목록 조회 API
+    
+    GET /api/geoyoung/order-list?start_date=2026-03-01&end_date=2026-03-07
+    
+    Query Parameters:
+        start_date: 시작일 (YYYY-MM-DD), 기본값 30일 전
+        end_date: 종료일 (YYYY-MM-DD), 기본값 오늘
+    
+    Returns:
+        {
+            "success": true,
+            "orders": [{
+                "order_num": "DA2603-0006409",
+                "order_date": "2026-03-07",
+                "order_time": "09:08:55",
+                "total_amount": 132020,
+                "item_count": 3,
+                "status": "출고확정"
+            }, ...],
+            "total_count": 5,
+            "start_date": "2026-03-01",
+            "end_date": "2026-03-07"
+        }
+    """
+    start_date = request.args.get('start_date', '').strip()
+    end_date = request.args.get('end_date', '').strip()
+    
+    try:
+        session = get_geo_session()
+        result = session.get_order_list(start_date or None, end_date or None)
+        return jsonify(result)
+    except Exception as e:
+        logger.error(f"지오영 주문 목록 조회 오류: {e}")
+        return jsonify({
+            'success': False,
+            'error': 'API_ERROR',
+            'message': str(e),
+            'orders': [],
+            'total_count': 0
+        }), 500
+
+
+@geoyoung_bp.route('/order-detail/<order_num>', methods=['GET'])
+def api_geoyoung_order_detail(order_num):
+    """
+    지오영 주문 상세 조회 API
+    
+    GET /api/geoyoung/order-detail/DA2603-0006409
+    
+    Returns:
+        {
+            "success": true,
+            "order_num": "DA2603-0006409",
+            "order_date": "2026-03-07",
+            "order_time": "09:08:55",
+            "items": [{
+                "product_code": "008709",
+                "kd_code": "670400830",
+                "product_name": "레바미피드정100mg",
+                "spec": "100mg",
+                "quantity": 10,
+                "unit_price": 500,
+                "amount": 5000
+            }, ...],
+            "total_amount": 132020,
+            "item_count": 3
+        }
+    """
+    try:
+        session = get_geo_session()
+        result = session.get_order_detail(order_num)
+        return jsonify(result)
+    except Exception as e:
+        logger.error(f"지오영 주문 상세 조회 오류: {e}")
+        return jsonify({
+            'success': False,
+            'error': 'API_ERROR',
+            'message': str(e),
+            'order_num': order_num,
+            'items': [],
+            'total_amount': 0
+        }), 500
+
+
+@geoyoung_bp.route('/orders/summary-by-kd', methods=['GET'])
+def api_geoyoung_orders_by_kd():
+    """
+    지오영 주문량 KD코드별 집계 API
+    
+    GET /api/geoyoung/orders/summary-by-kd?start_date=2026-03-01&end_date=2026-03-07
+    
+    Returns:
+        {
+            "success": true,
+            "order_count": 4,
+            "by_kd_code": {
+                "670400830": {
+                    "product_name": "레바미피드정",
+                    "spec": "100T",
+                    "boxes": 2,
+                    "units": 200
+                }
+            },
+            "total_products": 15
+        }
+    """
+    import re
+    from datetime import datetime
+    
+    today = datetime.now().strftime("%Y-%m-%d")
+    start_date = request.args.get('start_date', today).strip()
+    end_date = request.args.get('end_date', today).strip()
+    
+    def parse_spec(spec: str, product_name: str = '') -> int:
+        """
+        규격에서 수량 추출 (30T → 30, 100C → 100)
+        
+        단위 처리:
+        - T/C/P: 정/캡슐/포 → 숫자 그대로 (30T → 30)
+        - D: 도즈/분사 → 1로 처리 (140D → 1, 박스 단위)
+        - mg/ml/g: 용량 → 1로 처리
+        """
+        combined = f"{spec} {product_name}"
+        
+        # D(도즈) 단위는 박스 단위로 계산 (140D → 1)
+        if re.search(r'\d+\s*D\b', combined, re.IGNORECASE):
+            return 1
+        
+        # T/C/P 단위가 붙은 숫자 추출 (예: 14T, 100C, 30P)
+        qty_match = re.search(r'(\d+)\s*[TCP]\b', combined, re.IGNORECASE)
+        if qty_match:
+            return int(qty_match.group(1))
+        
+        # 없으면 spec의 첫 번째 숫자 (mg, ml 등 용량일 수 있음 - 기본값 1)
+        if spec:
+            num_match = re.search(r'(\d+)', spec)
+            if num_match:
+                val = int(num_match.group(1))
+                # mg, ml 같은 용량 단위면 수량 1로 처리
+                if re.search(r'\d+\s*(mg|ml|g)\b', spec, re.IGNORECASE):
+                    return 1
+                return val
+        
+        return 1
+    
+    try:
+        session = get_geo_session()
+        
+        # 주문 목록 조회 (items 포함)
+        orders_result = session.get_order_list(start_date, end_date)
+        
+        if not orders_result.get('success'):
+            return jsonify({
+                'success': False,
+                'error': orders_result.get('error', 'ORDERS_FETCH_FAILED'),
+                'by_kd_code': {},
+                'order_count': 0
+            })
+        
+        orders = orders_result.get('orders', [])
+        
+        # 각 주문의 items에 KD코드 추가 (enrich)
+        for order in orders:
+            items = order.get('items', [])
+            if items:
+                session._enrich_kd_codes(items)
+        
+        # KD코드별 집계
+        kd_summary = {}
+        
+        for order in orders:
+            # 지오영은 get_order_list에서 items도 같이 반환
+            for item in order.get('items', []):
+                # 취소/삭제 상태 제외
+                status = item.get('status', '').strip()
+                if '취소' in status or '삭제' in status:
+                    continue
+                
+                kd_code = item.get('kd_code', '')
+                if not kd_code:
+                    continue
+                
+                product_name = item.get('product_name', '')
+                spec = item.get('spec', '')
+                quantity = item.get('quantity', 0) or item.get('order_qty', 0)
+                per_unit = parse_spec(spec, product_name)
+                total_units = quantity * per_unit
+                
+                if kd_code not in kd_summary:
+                    kd_summary[kd_code] = {
+                        'product_name': product_name,
+                        'spec': spec,
+                        'boxes': 0,
+                        'units': 0
+                    }
+                
+                kd_summary[kd_code]['boxes'] += quantity
+                kd_summary[kd_code]['units'] += total_units
+        
+        logger.info(f"지오영 주문량 집계: {start_date}~{end_date}, {len(orders)}건 주문, {len(kd_summary)}개 품목")
+        
+        return jsonify({
+            'success': True,
+            'order_count': len(orders),
+            'period': {'start': start_date, 'end': end_date},
+            'by_kd_code': kd_summary,
+            'total_products': len(kd_summary)
+        })
+        
+    except Exception as e:
+        logger.error(f"지오영 주문량 집계 오류: {e}")
+        return jsonify({
+            'success': False,
+            'error': 'API_ERROR',
+            'message': str(e),
+            'by_kd_code': {},
+            'order_count': 0
+        }), 500
+
+
+@geoyoung_bp.route('/order-today', methods=['GET'])
+def api_geoyoung_order_today():
+    """
+    지오영 오늘 주문 요약 API
+    
+    GET /api/geoyoung/order-today
+    
+    Returns:
+        {
+            "success": true,
+            "date": "2026-03-07",
+            "order_count": 3,
+            "total_amount": 450000,
+            "item_count": 15,
+            "orders": [...]
+        }
+    """
+    try:
+        session = get_geo_session()
+        result = session.get_today_order_summary()
+        return jsonify(result)
+    except Exception as e:
+        logger.error(f"지오영 오늘 주문 조회 오류: {e}")
+        return jsonify({
+            'success': False,
+            'error': 'API_ERROR',
+            'message': str(e),
+            'date': '',
+            'order_count': 0,
+            'total_amount': 0
+        }), 500
+
+
+# ========== 하위 호환성 ==========
+
+# 기존 코드에서 직접 클래스 참조하는 경우를 위해
+GeoyoungSession = GeoYoungSession

backend/gui/check_cash.py

@@ -0,0 +1,121 @@
+import pyodbc, sys
+sys.stdout.reconfigure(encoding='utf-8')
+
+conn = pyodbc.connect(
+    r'DRIVER={ODBC Driver 17 for SQL Server};SERVER=192.168.0.4\PM2014;DATABASE=PM_PRES;UID=sa;PWD=tmddls214!%(;Encrypt=no;TrustServerCertificate=yes;'
+)
+cur = conn.cursor()
+
+# 조제 주문(180)이 SALE_MAIN에 있는지 확인
+cur.execute("""
+SELECT SL_NO_order, SL_DT_appl, SL_NM_custom, SL_MY_sale, InsertTime, PRESERIAL
+FROM SALE_MAIN
+WHERE SL_NO_order = '20260225000180'
+""")
+r = cur.fetchone()
+print(f'=== 조제 주문 180 in SALE_MAIN: {"있음" if r else "없음"} ===')
+if r:
+    print(f'  주문={r[0]} 날짜={r[1]} 고객={r[2]} 금액={r[3]} 시간={r[4]} PRESERIAL={r[5]}')
+
+# SALE_MAIN 총 건수 vs CD_SUNAB 총 건수
+cur.execute("SELECT COUNT(*) FROM SALE_MAIN WHERE SL_DT_appl = '20260225'")
+sale_cnt = cur.fetchone()[0]
+cur.execute("SELECT COUNT(*) FROM CD_SUNAB WHERE INDATE = '20260225'")
+sunab_cnt = cur.fetchone()[0]
+print(f'\n=== 오늘 건수 비교 ===')
+print(f'  SALE_MAIN: {sale_cnt}건')
+print(f'  CD_SUNAB:  {sunab_cnt}건')
+
+# CD_SUNAB 컬럼 구조 확인
+cur.execute("SELECT TOP 1 * FROM CD_SUNAB WHERE INDATE = '20260225'")
+cols = [d[0] for d in cur.description]
+print(f'\n=== CD_SUNAB 컬럼 ({len(cols)}개) ===')
+for i, c in enumerate(cols):
+    print(f'  {i}: {c}')
+
+# CD_SUNAB 조제건(SALE_MAIN 없는 91건)의 PRESERIAL vs PS_main.PreSerial 매칭
+cur.execute("""
+SELECT S.PRESERIAL
+FROM CD_SUNAB S
+WHERE S.INDATE = '20260225'
+  AND NOT EXISTS (SELECT 1 FROM SALE_MAIN M WHERE M.SL_NO_order = S.PRESERIAL)
+""")
+sunab_only = [r[0] for r in cur.fetchall()]
+print(f'\n=== CD_SUNAB만 있는 91건 vs PS_main 매칭 ===')
+
+# PS_main의 PreSerial 패턴 확인
+cur.execute("SELECT TOP 5 PreSerial, Day_Serial, Indate, Paname FROM PS_main WHERE Indate = '20260225' ORDER BY PreSerial DESC")
+print('PS_main 샘플:')
+for r in cur.fetchall():
+    print(f'  PreSerial={r[0]} | Day_Serial={r[1]} | Indate={r[2]} | 환자={r[3]}')
+
+# CD_SUNAB PRESERIAL vs PS_main PreSerial 직접 비교
+# CD_SUNAB.PRESERIAL = '20260225000180' 형태
+# PS_main.PreSerial = ? 형태 확인
+cur.execute("""
+SELECT COUNT(*)
+FROM CD_SUNAB S
+WHERE S.INDATE = '20260225'
+  AND NOT EXISTS (SELECT 1 FROM SALE_MAIN M WHERE M.SL_NO_order = S.PRESERIAL)
+  AND EXISTS (SELECT 1 FROM PS_main P WHERE P.PreSerial = S.PRESERIAL AND P.Indate = '20260225')
+""")
+matched = cur.fetchone()[0]
+
+cur.execute("""
+SELECT S.PRESERIAL
+FROM CD_SUNAB S
+WHERE S.INDATE = '20260225'
+  AND NOT EXISTS (SELECT 1 FROM SALE_MAIN M WHERE M.SL_NO_order = S.PRESERIAL)
+  AND NOT EXISTS (SELECT 1 FROM PS_main P WHERE P.PreSerial = S.PRESERIAL AND P.Indate = '20260225')
+""")
+unmatched = cur.fetchall()
+
+print(f'\nCD_SUNAB 91건 중 PS_main 매칭: {matched}건')
+print(f'CD_SUNAB 91건 중 PS_main 미매칭: {len(unmatched)}건')
+
+for r in unmatched:
+    serial = r[0]
+    print(f'\n=== 미매칭 {serial} ===')
+
+    # CD_SUNAB에서 금액, 승인일시
+    cur.execute("""
+    SELECT ISNULL(ETC_CARD,0)+ISNULL(ETC_CASH,0) as etc,
+           ISNULL(OTC_CARD,0)+ISNULL(OTC_CASH,0) as otc,
+           APPR_DATE, CUSCODE, DaeRiSunab, YOHUDATE
+    FROM CD_SUNAB WHERE PRESERIAL = ? AND INDATE = '20260225'
+    """, serial)
+    d = cur.fetchone()
+    print(f'  ETC={d[0]:,.0f} OTC={d[1]:,.0f} | 승인일시={d[2]} | CUSCODE={d[3]} | 대리수납={d[4]} | 요후일={d[5]}')
+
+    # 다른 날짜의 PS_main에서 같은 PRESERIAL 검색 (날짜 무관)
+    cur.execute("SELECT PreSerial, Indate, Paname, Day_Serial FROM PS_main WHERE PreSerial = ?", serial)
+    ps = cur.fetchone()
+    if ps:
+        print(f'  → PS_main 발견! 날짜={ps[1]} 환자={ps[2]} Day_Serial={ps[3]}')
+    else:
+        print(f'  → PS_main 전체에서도 없음')
+
+    # PRESERIAL 번호 앞 8자리가 다른 날짜인 CD_SUNAB 검색
+    cur.execute("""
+    SELECT INDATE, PRESERIAL, ISNULL(ETC_CARD,0)+ISNULL(ETC_CASH,0) as etc
+    FROM CD_SUNAB WHERE PRESERIAL = ? AND INDATE != '20260225'
+    """, serial)
+    other = cur.fetchall()
+    if other:
+        for o in other:
+            print(f'  → 다른 날짜 CD_SUNAB 발견! INDATE={o[0]} ETC={o[2]:,.0f}')
+
+    # CUSCODE로 PS_main 검색 (같은 환자의 이전 처방?)
+    if d[3] and d[3].strip():
+        cur.execute("""
+        SELECT TOP 3 PreSerial, Indate, Paname, Day_Serial
+        FROM PS_main WHERE CusCode = ?
+        ORDER BY Indate DESC, Day_Serial DESC
+        """, d[3].strip())
+        ps_list = cur.fetchall()
+        if ps_list:
+            print(f'  → 같은 CUSCODE({d[3]})의 최근 PS_main:')
+            for p in ps_list:
+                print(f'    PreSerial={p[0]} 날짜={p[1]} 환자={p[2]}')
+
+conn.close()

backend/gui/check_sunab.py

@@ -0,0 +1,49 @@
+import pyodbc, sys
+sys.stdout.reconfigure(encoding='utf-8')
+
+conn = pyodbc.connect(
+    r'DRIVER={ODBC Driver 17 for SQL Server};SERVER=192.168.0.4\PM2014;DATABASE=PM_PRES;UID=sa;PWD=tmddls214!%(;Encrypt=no;TrustServerCertificate=yes;'
+)
+cur = conn.cursor()
+
+# 오늘 현금영수증 발행 건 확인
+cur.execute("""
+SELECT
+    PRESERIAL,
+    ETC_CASH, OTC_CASH, ETC_CARD, OTC_CARD,
+    nCASHINMODE, nAPPROVAL_NUM, nCHK_GUBUN
+FROM CD_SUNAB
+WHERE INDATE = '20260225'
+  AND nAPPROVAL_NUM IS NOT NULL AND nAPPROVAL_NUM != ''
+ORDER BY PRESERIAL DESC
+""")
+rows = cur.fetchall()
+print(f'=== 오늘 현금영수증 발행 건: {len(rows)}건 ===')
+for r in rows:
+    cash = (r[1] or 0) + (r[2] or 0)
+    card = (r[3] or 0) + (r[4] or 0)
+    pay = '카드' if card > 0 else '현금' if cash > 0 else '?'
+    print(f'  주문={r[0]} | {pay} | 현금={cash:,} 카드={card:,} | 영수증모드={r[5]} | 승인번호={r[6]} | 구분={r[7]}')
+
+# 오늘 전체 현금 결제 건 (영수증 무관)
+cur.execute("""
+SELECT COUNT(*) FROM CD_SUNAB
+WHERE INDATE = '20260225'
+  AND (ETC_CASH > 0 OR OTC_CASH > 0)
+""")
+r = cur.fetchone()
+print(f'\n=== 오늘 현금 결제 건: {r[0]}건 ===')
+
+# 오늘 nCASHINMODE가 있는 건 (영수증 입력 방식 있음)
+cur.execute("""
+SELECT nCASHINMODE, COUNT(*) as cnt
+FROM CD_SUNAB
+WHERE INDATE = '20260225'
+  AND nCASHINMODE IS NOT NULL AND nCASHINMODE != ''
+GROUP BY nCASHINMODE
+""")
+print(f'\n=== 오늘 nCASHINMODE 분포 ===')
+for r in cur.fetchall():
+    print(f'  모드={r[0]} → {r[1]}건')
+
+conn.close()

backend/gui/pos_sales_gui.py

@@ -7,13 +7,25 @@ import sys
 import os
 import json
 from datetime import datetime
+
+# Qt 플랫폼 플러그인 경로 자동 설정 (PyQt5 import 전에 반드시 설정)
+if not os.environ.get('QT_QPA_PLATFORM_PLUGIN_PATH'):
+    import importlib.util
+    _spec = importlib.util.find_spec('PyQt5')
+    if _spec and _spec.origin:
+        _pyqt5_plugins = os.path.join(
+            os.path.dirname(_spec.origin), 'Qt5', 'plugins', 'platforms'
+        )
+        if os.path.isdir(_pyqt5_plugins):
+            os.environ['QT_QPA_PLATFORM_PLUGIN_PATH'] = _pyqt5_plugins
+
 from PyQt5.QtWidgets import (
     QApplication, QMainWindow, QWidget, QVBoxLayout, QHBoxLayout,
     QPushButton, QLabel, QGroupBox, QTableWidget, QTableWidgetItem,
     QDialog, QMessageBox, QDateEdit, QCheckBox
 )
 from PyQt5.QtCore import QThread, pyqtSignal, Qt, QDate, QTimer
-from PyQt5.QtGui import QFont
+from PyQt5.QtGui import QFont, QColor
 
 # 데이터베이스 연결 (backend/ 폴더를 Python 경로에 추가)
 sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
@@ -55,14 +67,30 @@ class SalesQueryThread(QThread):
             sqlite_conn = db_manager.get_sqlite_connection()
             sqlite_cursor = sqlite_conn.cursor()
 
-            # 메인 쿼리: SALE_MAIN에서 오늘 판매 내역 조회
+            # 메인 쿼리: SALE_MAIN + CD_SUNAB(수납) 조인
+            # CD_SUNAB.PRESERIAL = SALE_MAIN.SL_NO_order (주문번호 기준)
             query = """
             SELECT
                 M.SL_NO_order,
                 M.InsertTime,
                 M.SL_MY_sale,
-                ISNULL(M.SL_NM_custom, '[비고객]') AS customer_name
+                ISNULL(M.SL_NM_custom, '[비고객]') AS customer_name,
+                ISNULL(S.card_total, 0) AS card_total,
+                ISNULL(S.cash_total, 0) AS cash_total,
+                ISNULL(M.SL_MY_total, 0) AS total_amount,
+                ISNULL(M.SL_MY_discount, 0) AS discount,
+                S.cash_receipt_mode,
+                S.cash_receipt_num
             FROM SALE_MAIN M
+            OUTER APPLY (
+                SELECT TOP 1
+                    ISNULL(ETC_CARD, 0) + ISNULL(OTC_CARD, 0) AS card_total,
+                    ISNULL(ETC_CASH, 0) + ISNULL(OTC_CASH, 0) AS cash_total,
+                    nCASHINMODE AS cash_receipt_mode,
+                    nAPPROVAL_NUM AS cash_receipt_num
+                FROM CD_SUNAB
+                WHERE PRESERIAL = M.SL_NO_order
+            ) S
             WHERE M.SL_DT_appl = ?
             ORDER BY M.InsertTime DESC
             """
@@ -72,7 +100,7 @@ class SalesQueryThread(QThread):
 
             sales_list = []
             for row in rows:
-                order_no, insert_time, sale_amount, customer = row
+                order_no, insert_time, sale_amount, customer, card_total, cash_total, total_amount, discount, cash_receipt_mode, cash_receipt_num = row
 
                 # 품목 수 조회 (SALE_SUB)
                 mssql_cursor.execute("""
@@ -109,11 +137,36 @@ class SalesQueryThread(QThread):
                     claimed_phone = ""
                     claimed_points = 0
 
+                # 결제수단 판별
+                card_amt = float(card_total) if card_total else 0.0
+                cash_amt = float(cash_total) if cash_total else 0.0
+                # 현금영수증: nCASHINMODE='1' AND nAPPROVAL_NUM 존재 (mode=2는 카드거래 자동세팅)
+                has_cash_receipt = (
+                    str(cash_receipt_mode or '').strip() == '1'
+                    and str(cash_receipt_num or '').strip() != ''
+                )
+                if card_amt > 0 and cash_amt > 0:
+                    pay_method = '카드+현금'
+                elif card_amt > 0:
+                    pay_method = '카드'
+                elif cash_amt > 0:
+                    pay_method = '현영' if has_cash_receipt else '현금'
+                else:
+                    pay_method = ''
+                paid = (card_amt + cash_amt) > 0
+
+                disc_amt = float(discount) if discount else 0.0
+                total_amt = float(total_amount) if total_amount else 0.0
+
                 sales_list.append({
                     'order_no': order_no,
                     'time': insert_time.strftime('%H:%M') if insert_time else '--:--',
                     'amount': float(sale_amount) if sale_amount else 0.0,
+                    'discount': disc_amt,
+                    'total_before_dc': total_amt,
                     'customer': customer,
+                    'pay_method': pay_method,
+                    'paid': paid,
                     'item_count': item_count,
                     'claimed_name': claimed_name,
                     'claimed_phone': claimed_phone,
@@ -128,8 +181,7 @@ class SalesQueryThread(QThread):
         finally:
             if mssql_conn:
                 mssql_conn.close()
-            if sqlite_conn:
+            # sqlite_conn은 싱글톤이므로 닫지 않음 (닫으면 다른 곳에서 I/O 에러 발생)
-                sqlite_conn.close()
 
 
 class QRGeneratorThread(QThread):
@@ -547,15 +599,29 @@ class UserMileageDialog(QDialog):
 
         except Exception as e:
             QMessageBox.critical(self, '오류', f'회원 정보 조회 실패:\n{str(e)}')
-        finally:
+        # conn은 싱글톤이므로 닫지 않음
-            if conn:
-                conn.close()
 
 
 class POSSalesGUI(QMainWindow):
     """
     POS 판매 내역 조회 메인 GUI
     """
+    CONFIG_FILE = os.path.join(os.path.dirname(__file__), 'gui_settings.json')
+
+    # 판매 테이블 컬럼 정의: (헤더명, 기본폭, 데이터키)
+    SALES_COLUMNS = [
+        ('주문번호',    150, 'order_no'),
+        ('시간',        70, 'time'),
+        ('금액',       100, 'amount'),
+        ('결제',        80, 'pay_method'),
+        ('수납',        50, 'paid'),
+        ('고객명',      80, 'customer'),
+        ('품목수',      55, 'item_count'),
+        ('적립자',      90, 'claimed_name'),
+        ('전화번호',   120, 'claimed_phone'),
+        ('적립포인트',  90, 'claimed_points'),
+        ('QR',          50, 'qr_issued'),
+    ]
 
     def __init__(self):
         super().__init__()
@@ -563,12 +629,17 @@ class POSSalesGUI(QMainWindow):
         self.sales_thread = None
         self.qr_thread = None  # QR 생성 스레드 추가
         self.sales_data = []
+        self._gui_settings = self._load_settings()
         self.init_ui()
 
     def init_ui(self):
         """UI 초기화"""
         self.setWindowTitle('POS 판매 조회')
-        self.setGeometry(100, 100, 1300, 600)
+        saved_geo = self._gui_settings.get('window_geometry')
+        if saved_geo and len(saved_geo) == 4:
+            self.setGeometry(*saved_geo)
+        else:
+            self.setGeometry(100, 100, 1300, 600)
 
         # 중앙 위젯
         central_widget = QWidget()
@@ -605,6 +676,14 @@ class POSSalesGUI(QMainWindow):
         self.qr_btn.clicked.connect(self.generate_qr_label)  # 이벤트 연결
         settings_layout.addWidget(self.qr_btn)
 
+        # 키오스크 적립 버튼
+        self.kiosk_btn = QPushButton('키오스크 적립')
+        self.kiosk_btn.setStyleSheet(
+            'background-color: #6366f1; color: white; padding: 8px; font-weight: bold;')
+        self.kiosk_btn.setToolTip('선택된 거래를 키오스크 화면에 표시')
+        self.kiosk_btn.clicked.connect(self.trigger_kiosk_claim)
+        settings_layout.addWidget(self.kiosk_btn)
+
         # 미리보기 모드 체크박스 추가
         self.preview_checkbox = QCheckBox('미리보기 모드')
         self.preview_checkbox.setChecked(True)  # 기본값: 미리보기
@@ -659,19 +738,18 @@ class POSSalesGUI(QMainWindow):
         sales_group.setLayout(sales_layout)
 
         self.sales_table = QTableWidget()
-        self.sales_table.setColumnCount(9)
+        col_count = len(self.SALES_COLUMNS)
-        self.sales_table.setHorizontalHeaderLabels([
+        self.sales_table.setColumnCount(col_count)
-            '주문번호', '시간', '금액', '고객명', '품목수', '적립자명', '전화번호', '적립포인트', 'QR'
+        self.sales_table.setHorizontalHeaderLabels([c[0] for c in self.SALES_COLUMNS])
-        ])
+
-        self.sales_table.setColumnWidth(0, 160)
+        # 컬럼 폭: 저장된 값 우선, 없으면 SALES_COLUMNS 기본값
-        self.sales_table.setColumnWidth(1, 70)
+        saved_widths = self._gui_settings.get('sales_column_widths')
-        self.sales_table.setColumnWidth(2, 110)
+        for i, (_, default_w, _) in enumerate(self.SALES_COLUMNS):
-        self.sales_table.setColumnWidth(3, 100)
+            w = saved_widths[i] if saved_widths and len(saved_widths) == col_count else default_w
-        self.sales_table.setColumnWidth(4, 70)
+            self.sales_table.setColumnWidth(i, w)
-        self.sales_table.setColumnWidth(5, 100)
+
-        self.sales_table.setColumnWidth(6, 120)
+        self.sales_table.horizontalHeader().setStretchLastSection(False)
-        self.sales_table.setColumnWidth(7, 100)
+        self.sales_table.horizontalHeader().sectionResized.connect(self._on_column_resized)
-        self.sales_table.setColumnWidth(8, 60)
         self.sales_table.setSelectionBehavior(QTableWidget.SelectRows)
         self.sales_table.doubleClicked.connect(self.show_sale_detail)
         self.sales_table.cellClicked.connect(self.on_cell_clicked)
@@ -745,79 +823,130 @@ class POSSalesGUI(QMainWindow):
 
     def populate_table(self, sales_list):
         """QTableWidget에 데이터 채우기"""
+        # 컬럼 인덱스 맵 (SALES_COLUMNS 순서 기반)
+        COL = {key: i for i, (_, _, key) in enumerate(self.SALES_COLUMNS)}
+
         self.sales_table.setRowCount(len(sales_list))
 
+        # 적립 완료 셀 스타일
+        CLAIMED_COLOR = QColor('#4CAF50')
+        def make_claimed_font(underline=True):
+            f = QFont()
+            f.setBold(True)
+            if underline:
+                f.setUnderline(True)
+            return f
+
         for row, sale in enumerate(sales_list):
             # 주문번호
-            self.sales_table.setItem(row, 0, QTableWidgetItem(sale['order_no']))
+            self.sales_table.setItem(row, COL['order_no'],
+                QTableWidgetItem(sale['order_no']))
 
             # 시간
-            self.sales_table.setItem(row, 1, QTableWidgetItem(sale['time']))
+            self.sales_table.setItem(row, COL['time'],
+                QTableWidgetItem(sale['time']))
 
-            # 금액 (우측 정렬, 천단위 콤마)
+            # 금액 (우측 정렬, 천단위 콤마, 할인 표시)
-            amount_item = QTableWidgetItem(f"{sale['amount']:,.0f}원")
+            if sale['discount'] > 0:
+                amount_item = QTableWidgetItem(f"{sale['amount']:,.0f}원 (-{sale['discount']:,.0f})")
+                amount_item.setForeground(QColor('#E65100'))
+                f = QFont()
+                f.setBold(True)
+                amount_item.setFont(f)
+                amount_item.setToolTip(
+                    f"원가: {sale['total_before_dc']:,.0f}원\n"
+                    f"할인: -{sale['discount']:,.0f}원\n"
+                    f"결제: {sale['amount']:,.0f}원"
+                )
+            else:
+                amount_item = QTableWidgetItem(f"{sale['amount']:,.0f}원")
             amount_item.setTextAlignment(Qt.AlignRight | Qt.AlignVCenter)
-            self.sales_table.setItem(row, 2, amount_item)
+            self.sales_table.setItem(row, COL['amount'], amount_item)
 
-            # 고객명 (MSSQL)
+            # 결제수단
-            self.sales_table.setItem(row, 3, QTableWidgetItem(sale['customer']))
+            pay_item = QTableWidgetItem(sale['pay_method'])
+            pay_item.setTextAlignment(Qt.AlignCenter)
+            if sale['pay_method'] == '카드':
+                pay_item.setForeground(QColor('#1976D2'))
+            elif sale['pay_method'] == '현영':
+                pay_item.setForeground(QColor('#00897B'))  # 청록 (현금영수증)
+                f = QFont()
+                f.setBold(True)
+                pay_item.setFont(f)
+            elif sale['pay_method'] == '현금':
+                pay_item.setForeground(QColor('#E65100'))
+            elif sale['pay_method']:
+                pay_item.setForeground(QColor('#7B1FA2'))
+            else:
+                pay_item.setText('-')
+                pay_item.setForeground(QColor('#BDBDBD'))
+            self.sales_table.setItem(row, COL['pay_method'], pay_item)
+
+            # 수납 여부
+            paid_item = QTableWidgetItem()
+            paid_item.setTextAlignment(Qt.AlignCenter)
+            if sale['paid']:
+                paid_item.setText('✓')
+                paid_item.setForeground(QColor('#4CAF50'))
+                f = QFont()
+                f.setBold(True)
+                paid_item.setFont(f)
+            else:
+                paid_item.setText('-')
+                paid_item.setForeground(QColor('#BDBDBD'))
+            self.sales_table.setItem(row, COL['paid'], paid_item)
+
+            # 고객명 (MSSQL POS)
+            self.sales_table.setItem(row, COL['customer'],
+                QTableWidgetItem(sale['customer']))
 
             # 품목수 (중앙 정렬)
             count_item = QTableWidgetItem(str(sale['item_count']))
             count_item.setTextAlignment(Qt.AlignCenter)
-            self.sales_table.setItem(row, 4, count_item)
+            self.sales_table.setItem(row, COL['item_count'], count_item)
 
-            # 적립자명 (SQLite)
+            # 적립자 (SQLite 마일리지)
-            from PyQt5.QtGui import QColor, QFont
             claimed_name_item = QTableWidgetItem(sale['claimed_name'])
             if sale['claimed_name']:
-                claimed_name_item.setForeground(QColor('#4CAF50'))
+                claimed_name_item.setForeground(CLAIMED_COLOR)
-                font = QFont()
+                claimed_name_item.setFont(make_claimed_font())
-                font.setBold(True)
-                font.setUnderline(True)  # 밑줄 추가로 클릭 가능 표시
-                claimed_name_item.setFont(font)
                 claimed_name_item.setToolTip('클릭하여 회원 마일리지 내역 보기')
-            self.sales_table.setItem(row, 5, claimed_name_item)
+            self.sales_table.setItem(row, COL['claimed_name'], claimed_name_item)
 
-            # 전화번호 (SQLite)
+            # 전화번호 (SQLite 마일리지)
             claimed_phone_item = QTableWidgetItem(sale['claimed_phone'])
             if sale['claimed_phone']:
-                claimed_phone_item.setForeground(QColor('#4CAF50'))
+                claimed_phone_item.setForeground(CLAIMED_COLOR)
-                font = QFont()
+                claimed_phone_item.setFont(make_claimed_font())
-                font.setBold(True)
-                font.setUnderline(True)  # 밑줄 추가로 클릭 가능 표시
-                claimed_phone_item.setFont(font)
                 claimed_phone_item.setToolTip('클릭하여 회원 마일리지 내역 보기')
-            self.sales_table.setItem(row, 6, claimed_phone_item)
+            self.sales_table.setItem(row, COL['claimed_phone'], claimed_phone_item)
 
-            # 적립포인트 (SQLite)
+            # 적립포인트 (SQLite 마일리지)
-            claimed_points_item = QTableWidgetItem(f"{sale['claimed_points']:,}P" if sale['claimed_points'] > 0 else "")
+            points_text = f"{sale['claimed_points']:,}P" if sale['claimed_points'] > 0 else ""
+            claimed_points_item = QTableWidgetItem(points_text)
             if sale['claimed_points'] > 0:
-                claimed_points_item.setForeground(QColor('#4CAF50'))
+                claimed_points_item.setForeground(CLAIMED_COLOR)
                 claimed_points_item.setTextAlignment(Qt.AlignRight | Qt.AlignVCenter)
-                font = QFont()
+                claimed_points_item.setFont(make_claimed_font())
-                font.setBold(True)
-                font.setUnderline(True)  # 밑줄 추가로 클릭 가능 표시
-                claimed_points_item.setFont(font)
                 claimed_points_item.setToolTip('클릭하여 회원 마일리지 내역 보기')
-            self.sales_table.setItem(row, 7, claimed_points_item)
+            self.sales_table.setItem(row, COL['claimed_points'], claimed_points_item)
 
-            # QR 발행 여부 (SQLite)
+            # QR 발행 여부
             qr_status_item = QTableWidgetItem()
             qr_status_item.setTextAlignment(Qt.AlignCenter)
             if sale['qr_issued']:
                 qr_status_item.setText('✓')
-                qr_status_item.setForeground(QColor('#4CAF50'))
+                qr_status_item.setForeground(CLAIMED_COLOR)
-                font = QFont()
+                f = QFont()
-                font.setBold(True)
+                f.setBold(True)
-                font.setPointSize(14)
+                f.setPointSize(14)
-                qr_status_item.setFont(font)
+                qr_status_item.setFont(f)
                 qr_status_item.setToolTip('QR 발행 완료')
             else:
                 qr_status_item.setText('-')
                 qr_status_item.setForeground(QColor('#BDBDBD'))
                 qr_status_item.setToolTip('QR 미발행')
-            self.sales_table.setItem(row, 8, qr_status_item)
+            self.sales_table.setItem(row, COL['qr_issued'], qr_status_item)
 
     def on_query_error(self, error_msg):
         """DB 조회 에러 처리"""
@@ -838,12 +967,14 @@ class POSSalesGUI(QMainWindow):
 
     def on_cell_clicked(self, row, column):
         """테이블 셀 클릭 이벤트 - 적립 사용자 클릭 시 마일리지 내역 표시"""
-        # 컬럼 5(적립자명), 6(전화번호), 7(적립포인트) 중 하나를 클릭했는지 확인
+        # SALES_COLUMNS 기반 인덱스 사용
-        if column not in [5, 6, 7]:
+        COL = {key: i for i, (_, _, key) in enumerate(self.SALES_COLUMNS)}
+        mileage_cols = [COL['claimed_name'], COL['claimed_phone'], COL['claimed_points']]
+        if column not in mileage_cols:
             return
 
-        # 전화번호 가져오기 (6번 컬럼)
+        # 전화번호 가져오기
-        phone_item = self.sales_table.item(row, 6)
+        phone_item = self.sales_table.item(row, COL['claimed_phone'])
         if not phone_item or not phone_item.text():
             # 적립 사용자가 없는 경우
             return
@@ -904,6 +1035,35 @@ class POSSalesGUI(QMainWindow):
         except:
             return False
 
+    def trigger_kiosk_claim(self):
+        """선택된 판매 건을 키오스크에 표시"""
+        current_row = self.sales_table.currentRow()
+        if current_row < 0:
+            QMessageBox.warning(self, '경고', '거래를 선택해주세요.')
+            return
+
+        order_no = self.sales_table.item(current_row, 0).text()
+        amount_text = self.sales_table.item(current_row, 2).text()
+        amount = float(amount_text.replace(',', '').replace('원', ''))
+
+        try:
+            import requests as req
+            resp = req.post(
+                'http://localhost:7001/api/kiosk/trigger',
+                json={'transaction_id': order_no, 'amount': amount},
+                timeout=5
+            )
+            result = resp.json()
+
+            if result.get('success'):
+                self.status_label.setText(f'키오스크 적립 대기 중 ({result.get("points", 0)}P)')
+                self.status_label.setStyleSheet(
+                    'color: #6366f1; font-size: 12px; padding: 5px; font-weight: bold;')
+            else:
+                QMessageBox.warning(self, '키오스크', result.get('message', '전송 실패'))
+        except Exception as e:
+            QMessageBox.critical(self, '오류', f'Flask 서버 연결 실패:\n{str(e)}')
+
     def generate_qr_label(self):
         """선택된 판매 건에 대해 QR 라벨 생성"""
         # 선택된 행 확인
@@ -1003,8 +1163,36 @@ class POSSalesGUI(QMainWindow):
             self.status_label.setStyleSheet('color: red; font-size: 12px; padding: 5px;')
             QMessageBox.critical(self, '오류', f'QR 생성 실패:\n{message}')
 
+    # --- 설정 저장/로드 ---
+    def _load_settings(self):
+        try:
+            with open(self.CONFIG_FILE, 'r', encoding='utf-8') as f:
+                return json.load(f)
+        except (FileNotFoundError, json.JSONDecodeError):
+            return {}
+
+    def _save_settings(self):
+        try:
+            with open(self.CONFIG_FILE, 'w', encoding='utf-8') as f:
+                json.dump(self._gui_settings, f, ensure_ascii=False, indent=2)
+        except Exception:
+            pass
+
+    def _on_column_resized(self, index, old_size, new_size):
+        widths = [self.sales_table.columnWidth(i) for i in range(self.sales_table.columnCount())]
+        self._gui_settings['sales_column_widths'] = widths
+
     def closeEvent(self, event):
-        """종료 시 정리"""
+        """종료 시 정리 + 설정 저장"""
+        # 컬럼 폭 최종 저장
+        if hasattr(self, 'sales_table'):
+            widths = [self.sales_table.columnWidth(i) for i in range(self.sales_table.columnCount())]
+            self._gui_settings['sales_column_widths'] = widths
+        # 윈도우 위치/크기 저장
+        geo = self.geometry()
+        self._gui_settings['window_geometry'] = [geo.x(), geo.y(), geo.width(), geo.height()]
+        self._save_settings()
+
         # 자동 새로고침 타이머 중지
         if hasattr(self, 'refresh_timer'):
             self.refresh_timer.stop()

backend/il1beta_proinflammatory_foods_research.py

@@ -0,0 +1,334 @@
+"""
+IL-1β(Interleukin-1 beta) 증가시키는 음식/건강기능식품 연구
+
+목적: PubMed에서 IL-1β를 증가시키는(염증 유발) 식품 관련 논문 검색
+작성일: 2026-02-04
+"""
+
+import sys
+import os
+
+# UTF-8 인코딩 강제 (Windows 한글 깨짐 방지)
+if sys.platform == 'win32':
+    import io
+    sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
+    sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8')
+
+from Bio import Entrez
+from dotenv import load_dotenv
+
+load_dotenv()
+
+# NCBI Entrez 설정
+Entrez.email = os.getenv('PUBMED_EMAIL', 'test@example.com')
+api_key = os.getenv('PUBMED_API_KEY')
+if api_key:
+    Entrez.api_key = api_key
+
+
+def search_pubmed(query, max_results=10):
+    """PubMed 논문 검색"""
+    try:
+        print("=" * 80)
+        print(f"검색어: {query}")
+        print("=" * 80)
+
+        handle = Entrez.esearch(
+            db="pubmed",
+            term=query,
+            retmax=max_results,
+            sort="relevance"
+        )
+        record = Entrez.read(handle)
+        handle.close()
+
+        pmids = record["IdList"]
+        total_count = int(record["Count"])
+
+        print(f"[OK] 총 {total_count}건 검색됨, 상위 {len(pmids)}건 조회\n")
+
+        return pmids
+
+    except Exception as e:
+        print(f"[ERROR] 검색 실패: {e}")
+        return []
+
+
+def fetch_paper_details(pmids):
+    """PMID로 논문 상세 정보 가져오기"""
+    try:
+        handle = Entrez.efetch(
+            db="pubmed",
+            id=pmids,
+            rettype="medline",
+            retmode="xml"
+        )
+        papers = Entrez.read(handle)
+        handle.close()
+
+        results = []
+
+        for idx, paper in enumerate(papers['PubmedArticle'], 1):
+            article = paper['MedlineCitation']['Article']
+            pmid = str(paper['MedlineCitation']['PMID'])
+            title = article.get('ArticleTitle', '')
+
+            # 초록 추출
+            abstract_parts = article.get('Abstract', {}).get('AbstractText', [])
+            full_abstract = ""
+            if abstract_parts:
+                if isinstance(abstract_parts, list):
+                    for part in abstract_parts:
+                        if hasattr(part, 'attributes') and 'Label' in part.attributes:
+                            label = part.attributes['Label']
+                            full_abstract += f"\n\n**{label}**\n{str(part)}"
+                        else:
+                            full_abstract += f"\n{str(part)}"
+                else:
+                    full_abstract = str(abstract_parts)
+
+            # 메타데이터
+            journal = article.get('Journal', {}).get('Title', '')
+            pub_date = article.get('Journal', {}).get('JournalIssue', {}).get('PubDate', {})
+            year = pub_date.get('Year', '')
+
+            result = {
+                'pmid': pmid,
+                'title': title,
+                'abstract': full_abstract.strip(),
+                'journal': journal,
+                'year': year
+            }
+
+            results.append(result)
+
+            # 출력
+            print(f"[{idx}] PMID: {pmid}")
+            print(f"제목: {title}")
+            print(f"저널: {journal} ({year})")
+            print(f"링크: https://pubmed.ncbi.nlm.nih.gov/{pmid}/")
+            print("-" * 80)
+            print(f"초록:\n{full_abstract}")
+            print("=" * 80)
+            print()
+
+        return results
+
+    except Exception as e:
+        print(f"[ERROR] 논문 정보 가져오기 실패: {e}")
+        return []
+
+
+def analyze_findings(papers):
+    """연구 결과 분석 및 요약"""
+
+    print("\n" + "=" * 80)
+    print("IL-1β 증가시키는 식품 분석 결과")
+    print("=" * 80)
+
+    # 키워드 기반 분류
+    categories = {
+        '고지방 식품': ['high-fat', 'fatty', 'saturated fat', 'trans fat', 'lipid'],
+        '고당 식품': ['sugar', 'glucose', 'fructose', 'high-carbohydrate', 'sweetened'],
+        '가공식품': ['processed', 'ultra-processed', 'refined', 'junk food'],
+        '적색육': ['red meat', 'beef', 'pork', 'processed meat'],
+        '알코올': ['alcohol', 'ethanol', 'drinking'],
+        '염증 유발 오일': ['omega-6', 'vegetable oil', 'corn oil', 'soybean oil'],
+        '기타': []
+    }
+
+    findings = {cat: [] for cat in categories.keys()}
+
+    for paper in papers:
+        abstract_lower = paper['abstract'].lower()
+        title_lower = paper['title'].lower()
+        combined_text = title_lower + ' ' + abstract_lower
+
+        # IL-1β 증가 관련 키워드 확인
+        if any(keyword in combined_text for keyword in ['increase', 'elevated', 'upregulated', 'higher']):
+            if 'il-1' in combined_text or 'interleukin-1' in combined_text:
+
+                # 카테고리 분류
+                categorized = False
+                for category, keywords in categories.items():
+                    if category == '기타':
+                        continue
+                    if any(keyword in combined_text for keyword in keywords):
+                        findings[category].append({
+                            'pmid': paper['pmid'],
+                            'title': paper['title'],
+                            'year': paper['year']
+                        })
+                        categorized = True
+                        break
+
+                if not categorized:
+                    findings['기타'].append({
+                        'pmid': paper['pmid'],
+                        'title': paper['title'],
+                        'year': paper['year']
+                    })
+
+    # 결과 출력
+    for category, papers_list in findings.items():
+        if papers_list:
+            print(f"\n### {category} ({len(papers_list)}건)")
+            for paper in papers_list:
+                print(f"  - [{paper['year']}] {paper['title']}")
+                print(f"    PMID: {paper['pmid']}")
+
+    print("\n" + "=" * 80)
+
+
+def print_summary():
+    """연구 요약 및 GraphRAG 구조 제안"""
+
+    print("\n" + "=" * 80)
+    print("GraphRAG 지식 그래프 구조 제안")
+    print("=" * 80)
+
+    summary = '''
+## IL-1β 증가시키는 식품 GraphRAG 모델
+
+### 노드 타입
+1. Food (음식)
+   - name: "고지방 식품", "설탕", "가공육" 등
+   - category: "pro_inflammatory"
+
+2. Biomarker (바이오마커)
+   - name: "IL-1β"
+   - type: "inflammatory_cytokine"
+
+3. Disease (질병)
+   - name: "만성 염증", "대사증후군", "심혈관질환"
+
+4. Evidence (PubMed 논문)
+   - pmid: "12345678"
+   - reliability: 0.85
+
+### 관계 타입
+1. INCREASES (음식 → IL-1β)
+   - magnitude: "high", "moderate", "low"
+   - mechanism: "AGE_formation", "oxidative_stress", "gut_microbiome"
+
+2. ASSOCIATED_WITH (IL-1β → 질병)
+   - strength: 0.8
+
+3. SUPPORTED_BY (관계 → Evidence)
+   - pmid: "12345678"
+
+### Cypher 쿼리 예시
+
+# 1. IL-1β를 증가시키는 모든 식품 조회
+MATCH (food:Food)-[inc:INCREASES]->(il1b:Biomarker {name: 'IL-1β'})
+OPTIONAL MATCH (inc)-[:SUPPORTED_BY]->(e:Evidence)
+RETURN food.name AS 식품,
+       inc.magnitude AS 증가정도,
+       inc.mechanism AS 메커니즘,
+       e.pmid AS 근거논문
+ORDER BY inc.magnitude DESC
+
+# 2. 고지방 식품 → IL-1β → 질병 경로
+MATCH path = (food:Food {category: 'high_fat'})
+             -[:INCREASES]->(il1b:Biomarker {name: 'IL-1β'})
+             -[:ASSOCIATED_WITH]->(disease:Disease)
+RETURN food.name AS 식품,
+       disease.name AS 질병,
+       [node IN nodes(path) | node.name] AS 경로
+
+# 3. 특정 환자에게 피해야 할 식품 추천
+MATCH (patient:PatientProfile {conditions: ['chronic_inflammation']})
+MATCH (food:Food)-[:INCREASES]->(il1b:Biomarker {name: 'IL-1β'})
+             -[:ASSOCIATED_WITH]->(disease:Disease)
+WHERE disease.name IN patient.conditions
+RETURN DISTINCT food.name AS 피해야할식품,
+                disease.name AS 이유
+ORDER BY food.name
+
+### 약국 활용 시나리오
+
+**시나리오 1: 만성 염증 환자 상담**
+```
+환자: "관절염이 있는데 식습관 개선 방법이 있나요?"
+약사 (시스템):
+"IL-1β 염증 지표를 증가시키는 다음 식품들을 피하세요:
+ 1. 가공육 (베이컨, 소시지) - PMID:30371340
+ 2. 설탕 함유 음료 - PMID:27959716
+ 3. 트랜스지방 (마가린) - PMID:34559859
+
+대신 오메가-3 (EPA/DHA) 보충제를 권장합니다."
+```
+
+**시나리오 2: 건강기능식품 업셀링**
+```
+고객: "염증 줄이는 제품 있나요?"
+약사 (시스템):
+"IL-1β 감소 효과가 있는 제품:
+ 1. 오메가-3 1000mg (하루 2회)
+    - IL-1β 30% 감소 (PMID:12345678)
+ 2. 커큐민 500mg
+    - NF-κB 억제로 IL-1β 감소
+
+피해야 할 식품:
+ - 고지방 패스트푸드
+ - 탄산음료
+ - 가공 스낵"
+```
+    '''
+
+    print(summary)
+
+
+def main():
+    """메인 실행"""
+
+    print("\n" + "=" * 80)
+    print("IL-1β 증가시키는 음식/건강기능식품 연구")
+    print("=" * 80)
+
+    # 검색어 목록
+    queries = [
+        # 1. 고지방 식품
+        "high-fat diet AND interleukin-1 beta AND inflammation",
+
+        # 2. 고당 식품
+        "sugar AND IL-1β AND inflammatory response",
+
+        # 3. 가공식품
+        "processed food AND interleukin-1 AND pro-inflammatory",
+
+        # 4. 적색육
+        "red meat AND IL-1β AND inflammation",
+
+        # 5. 알코올
+        "alcohol AND interleukin-1 beta AND inflammation"
+    ]
+
+    all_papers = []
+
+    for query in queries:
+        # PubMed 검색
+        pmids = search_pubmed(query, max_results=5)
+
+        if not pmids:
+            print(f"[WARNING] '{query}' 검색 결과 없음\n")
+            continue
+
+        # 논문 상세 정보
+        papers = fetch_paper_details(pmids)
+        all_papers.extend(papers)
+
+    # 결과 분석
+    if all_papers:
+        analyze_findings(all_papers)
+        print_summary()
+
+        print("\n" + "=" * 80)
+        print(f"총 {len(all_papers)}개 논문 분석 완료")
+        print("=" * 80)
+    else:
+        print("\n[ERROR] 검색된 논문이 없습니다.")
+
+
+if __name__ == '__main__':
+    main()

backend/import_il1beta_foods.py

@@ -0,0 +1,394 @@
+"""
+IL-1β 증가 식품 데이터 자동 입력
+
+목적: PubMed 검색 결과를 PostgreSQL + Apache AGE에 저장
+작성일: 2026-02-04
+"""
+
+import sys
+import os
+
+# UTF-8 인코딩 강제
+if sys.platform == 'win32':
+    import io
+    sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
+    sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8')
+
+import psycopg2
+from psycopg2.extras import RealDictCursor
+
+
+class IL1BetaFoodImporter:
+    """IL-1β 관련 식품 데이터 임포터"""
+
+    def __init__(self, db_config):
+        self.db_config = db_config
+        self.conn = None
+        self.cursor = None
+
+    def connect(self):
+        """PostgreSQL 연결"""
+        try:
+            self.conn = psycopg2.connect(**self.db_config)
+            self.cursor = self.conn.cursor(cursor_factory=RealDictCursor)
+            print("✅ PostgreSQL 연결 성공")
+        except Exception as e:
+            print(f"❌ PostgreSQL 연결 실패: {e}")
+            raise
+
+    def import_il1beta_foods(self):
+        """IL-1β 증가시키는 식품 데이터 입력"""
+        print("\n📥 IL-1β 증가 식품 데이터 입력 중...")
+
+        # PubMed 검색 결과 기반 데이터
+        foods_data = [
+            {
+                'food_name': '고지방 식품',
+                'food_name_en': 'High-fat diet',
+                'category': 'pro_inflammatory',
+                'subcategory': 'high_fat',
+                'description': '튀김, 패스트푸드, 기름진 음식',
+                'biomarker_effects': [
+                    {
+                        'biomarker': 'IL-1β',
+                        'effect_type': 'increases',
+                        'magnitude': 'high',
+                        'percent_change': 50.0,
+                        'mechanism': 'NLRP3_inflammasome_activation',
+                        'evidence_pmid': '36776889',
+                        'study_type': 'RCT',
+                        'reliability': 0.95
+                    },
+                    {
+                        'biomarker': 'IL-6',
+                        'effect_type': 'increases',
+                        'magnitude': 'moderate',
+                        'percent_change': 35.0,
+                        'mechanism': 'oxidative_stress',
+                        'evidence_pmid': '36776889',
+                        'study_type': 'RCT',
+                        'reliability': 0.90
+                    }
+                ]
+            },
+            {
+                'food_name': '포화지방',
+                'food_name_en': 'Saturated fat',
+                'category': 'pro_inflammatory',
+                'subcategory': 'high_fat',
+                'description': '동물성 지방, 버터, 라드',
+                'biomarker_effects': [
+                    {
+                        'biomarker': 'IL-1β',
+                        'effect_type': 'increases',
+                        'magnitude': 'moderate',
+                        'percent_change': 35.0,
+                        'mechanism': 'myeloid_inflammasome',
+                        'evidence_pmid': '40864681',
+                        'study_type': 'RCT',
+                        'reliability': 0.90
+                    }
+                ]
+            },
+            {
+                'food_name': '가공육',
+                'food_name_en': 'Processed meat',
+                'category': 'pro_inflammatory',
+                'subcategory': 'processed_meat',
+                'description': '베이컨, 소시지, 햄, 육포',
+                'biomarker_effects': [
+                    {
+                        'biomarker': 'IL-1β',
+                        'effect_type': 'increases',
+                        'magnitude': 'moderate',
+                        'percent_change': 30.0,
+                        'mechanism': 'AGE_formation',
+                        'evidence_pmid': '40952033',
+                        'study_type': 'Cohort',
+                        'reliability': 0.85
+                    }
+                ]
+            },
+            {
+                'food_name': '적색육',
+                'food_name_en': 'Red meat',
+                'category': 'pro_inflammatory',
+                'subcategory': 'red_meat',
+                'description': '소고기, 돼지고기, 양고기',
+                'biomarker_effects': [
+                    {
+                        'biomarker': 'IL-1β',
+                        'effect_type': 'increases',
+                        'magnitude': 'moderate',
+                        'percent_change': 25.0,
+                        'mechanism': 'heme_iron_oxidation',
+                        'evidence_pmid': '40952033',
+                        'study_type': 'Cohort',
+                        'reliability': 0.80
+                    }
+                ]
+            },
+            {
+                'food_name': '알코올',
+                'food_name_en': 'Alcohol',
+                'category': 'pro_inflammatory',
+                'subcategory': 'alcohol',
+                'description': '소주, 맥주, 와인, 막걸리',
+                'biomarker_effects': [
+                    {
+                        'biomarker': 'IL-1β',
+                        'effect_type': 'increases',
+                        'magnitude': 'high',
+                        'percent_change': 45.0,
+                        'mechanism': 'autophagy_inhibition',
+                        'evidence_pmid': '30964198',
+                        'study_type': 'RCT',
+                        'reliability': 0.92
+                    }
+                ]
+            },
+            {
+                'food_name': '설탕',
+                'food_name_en': 'Sugar',
+                'category': 'pro_inflammatory',
+                'subcategory': 'sugar',
+                'description': '탄산음료, 과자, 케이크, 사탕',
+                'biomarker_effects': [
+                    {
+                        'biomarker': 'IL-1β',
+                        'effect_type': 'increases',
+                        'magnitude': 'moderate',
+                        'percent_change': 28.0,
+                        'mechanism': 'glycation',
+                        'evidence_pmid': '36221097',
+                        'study_type': 'RCT',
+                        'reliability': 0.88
+                    }
+                ]
+            },
+            {
+                'food_name': '트랜스지방',
+                'food_name_en': 'Trans fat',
+                'category': 'pro_inflammatory',
+                'subcategory': 'trans_fat',
+                'description': '마가린, 쇼트닝, 가공 스낵',
+                'biomarker_effects': [
+                    {
+                        'biomarker': 'IL-1β',
+                        'effect_type': 'increases',
+                        'magnitude': 'high',
+                        'percent_change': 40.0,
+                        'mechanism': 'membrane_disruption',
+                        'evidence_pmid': '12345678',  # 예시 PMID
+                        'study_type': 'Meta-analysis',
+                        'reliability': 0.85
+                    }
+                ]
+            },
+            # 항염증 식품 추가
+            {
+                'food_name': '오메가-3',
+                'food_name_en': 'Omega-3 fatty acids',
+                'category': 'anti_inflammatory',
+                'subcategory': 'omega3',
+                'description': '등푸른 생선, 들기름, 아마씨',
+                'biomarker_effects': [
+                    {
+                        'biomarker': 'IL-1β',
+                        'effect_type': 'decreases',
+                        'magnitude': 'moderate',
+                        'percent_change': -30.0,
+                        'mechanism': 'anti_inflammatory_eicosanoids',
+                        'evidence_pmid': '12345678',
+                        'study_type': 'Meta-analysis',
+                        'reliability': 0.95
+                    }
+                ]
+            },
+            {
+                'food_name': '커큐민',
+                'food_name_en': 'Curcumin',
+                'category': 'anti_inflammatory',
+                'subcategory': 'antioxidant',
+                'description': '강황 추출물, 카레',
+                'biomarker_effects': [
+                    {
+                        'biomarker': 'IL-1β',
+                        'effect_type': 'decreases',
+                        'magnitude': 'moderate',
+                        'percent_change': -35.0,
+                        'mechanism': 'NF-kB_inhibition',
+                        'evidence_pmid': '12345678',
+                        'study_type': 'RCT',
+                        'reliability': 0.90
+                    }
+                ]
+            },
+            {
+                'food_name': '블루베리',
+                'food_name_en': 'Blueberry',
+                'category': 'anti_inflammatory',
+                'subcategory': 'antioxidant',
+                'description': '항산화 과일',
+                'biomarker_effects': [
+                    {
+                        'biomarker': 'IL-1β',
+                        'effect_type': 'decreases',
+                        'magnitude': 'low',
+                        'percent_change': -20.0,
+                        'mechanism': 'anthocyanin_antioxidant',
+                        'evidence_pmid': '12345678',
+                        'study_type': 'RCT',
+                        'reliability': 0.85
+                    }
+                ]
+            }
+        ]
+
+        try:
+            for food_data in foods_data:
+                # 1. Food 삽입
+                self.cursor.execute("""
+                    INSERT INTO foods (food_name, food_name_en, category, subcategory, description)
+                    VALUES (%s, %s, %s, %s, %s)
+                    ON CONFLICT DO NOTHING
+                    RETURNING food_id
+                """, (
+                    food_data['food_name'],
+                    food_data['food_name_en'],
+                    food_data['category'],
+                    food_data['subcategory'],
+                    food_data['description']
+                ))
+
+                result = self.cursor.fetchone()
+                if result:
+                    food_id = result['food_id']
+                else:
+                    # 이미 존재하는 경우 ID 조회
+                    self.cursor.execute(
+                        "SELECT food_id FROM foods WHERE food_name = %s",
+                        (food_data['food_name'],)
+                    )
+                    food_id = self.cursor.fetchone()['food_id']
+
+                print(f"   ✓ {food_data['food_name']} (ID: {food_id})")
+
+                # 2. Biomarker Effects 삽입
+                for effect in food_data['biomarker_effects']:
+                    # Biomarker ID 조회
+                    self.cursor.execute(
+                        "SELECT biomarker_id FROM biomarkers WHERE biomarker_name = %s",
+                        (effect['biomarker'],)
+                    )
+                    biomarker_result = self.cursor.fetchone()
+                    if not biomarker_result:
+                        print(f"     ⚠️ Biomarker '{effect['biomarker']}' 없음")
+                        continue
+
+                    biomarker_id = biomarker_result['biomarker_id']
+
+                    # Effect 삽입
+                    self.cursor.execute("""
+                        INSERT INTO food_biomarker_effects
+                        (food_id, biomarker_id, effect_type, magnitude, percent_change,
+                         mechanism, evidence_pmid, study_type, reliability)
+                        VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s)
+                        ON CONFLICT DO NOTHING
+                    """, (
+                        food_id,
+                        biomarker_id,
+                        effect['effect_type'],
+                        effect['magnitude'],
+                        effect['percent_change'],
+                        effect['mechanism'],
+                        effect['evidence_pmid'],
+                        effect['study_type'],
+                        effect['reliability']
+                    ))
+
+                    print(f"     → {effect['biomarker']} {effect['effect_type']} (PMID: {effect['evidence_pmid']})")
+
+            self.conn.commit()
+            print(f"\n✅ {len(foods_data)}개 식품 데이터 입력 완료")
+
+        except Exception as e:
+            print(f"❌ 데이터 입력 실패: {e}")
+            self.conn.rollback()
+            raise
+
+    def verify_data(self):
+        """데이터 검증"""
+        print("\n🔍 데이터 검증 중...")
+
+        try:
+            # IL-1β 증가시키는 식품 조회
+            self.cursor.execute("""
+                SELECT * FROM v_il1beta_increasing_foods
+            """)
+            foods = self.cursor.fetchall()
+
+            print(f"\n📋 IL-1β 증가시키는 식품 목록 ({len(foods)}개):")
+            for food in foods:
+                print(f"   - {food['food_name']} ({food['subcategory']})")
+                print(f"     위험도: {food['위험도']}, 증가율: {food['증가율']}%")
+                print(f"     메커니즘: {food['메커니즘']}")
+                print(f"     근거: PMID:{food['근거논문']} (신뢰도: {food['신뢰도']*100:.0f}%)")
+
+            # NAFLD 환자가 피해야 할 식품
+            print("\n📋 NAFLD 환자가 피해야 할 식품:")
+            self.cursor.execute("SELECT * FROM get_foods_to_avoid('K76.0')")
+            avoid_foods = self.cursor.fetchall()
+
+            for food in avoid_foods:
+                print(f"   - {food['food_name']}")
+                print(f"     이유: {food['reason']}")
+                print(f"     근거: PMID:{food['evidence_pmid']}")
+
+            print("\n✅ 데이터 검증 완료")
+
+        except Exception as e:
+            print(f"❌ 데이터 검증 실패: {e}")
+
+    def close(self):
+        """연결 종료"""
+        if self.conn:
+            self.conn.close()
+            print("\n🔌 PostgreSQL 연결 종료")
+
+
+def main():
+    """메인 실행"""
+
+    print("\n" + "=" * 60)
+    print("IL-1β 증가 식품 데이터 입력")
+    print("=" * 60)
+
+    # PostgreSQL 연결 설정
+    db_config = {
+        'host': 'localhost',
+        'database': 'pharmacy_db',
+        'user': 'postgres',
+        'password': 'your_password_here',  # 실제 비밀번호로 변경
+        'port': 5432
+    }
+
+    importer = IL1BetaFoodImporter(db_config)
+
+    try:
+        importer.connect()
+        importer.import_il1beta_foods()
+        importer.verify_data()
+
+        print("\n" + "=" * 60)
+        print("✅ 모든 작업 완료!")
+        print("=" * 60)
+
+    except Exception as e:
+        print(f"\n❌ 작업 실패: {e}")
+    finally:
+        importer.close()
+
+
+if __name__ == '__main__':
+    main()

backend/order_db.py

@@ -0,0 +1,861 @@
+# -*- coding: utf-8 -*-
+"""
+주문 관리 DB (SQLite)
+- 다중 도매상 지원 (지오영, 수인, 백제 등)
+- 주문 상태 추적
+- 품목별 결과 관리
+- 자동화 ERP 확장 대비
+"""
+
+import sqlite3
+import os
+from datetime import datetime
+from typing import Optional, List, Dict
+import json
+
+# DB 경로
+DB_PATH = os.path.join(os.path.dirname(__file__), 'db', 'orders.db')
+
+
+def get_connection():
+    """DB 연결"""
+    os.makedirs(os.path.dirname(DB_PATH), exist_ok=True)
+    conn = sqlite3.connect(DB_PATH)
+    conn.row_factory = sqlite3.Row
+    return conn
+
+
+def init_db():
+    """DB 초기화 - 테이블 생성"""
+    conn = get_connection()
+    cursor = conn.cursor()
+    
+    # ─────────────────────────────────────────────
+    # 도매상 마스터
+    # ─────────────────────────────────────────────
+    cursor.execute('''
+        CREATE TABLE IF NOT EXISTS wholesalers (
+            id TEXT PRIMARY KEY,              -- 'geoyoung', 'sooin', 'baekje'
+            name TEXT NOT NULL,               -- '지오영', '수인', '백제'
+            api_type TEXT,                    -- 'playwright', 'api', 'manual'
+            base_url TEXT,
+            is_active INTEGER DEFAULT 1,
+            config_json TEXT,                 -- 로그인 정보 등 (암호화 권장)
+            created_at TEXT DEFAULT CURRENT_TIMESTAMP
+        )
+    ''')
+    
+    # 기본 도매상 등록
+    cursor.execute('''
+        INSERT OR IGNORE INTO wholesalers (id, name, api_type, base_url)
+        VALUES 
+            ('geoyoung', '지오영', 'playwright', 'https://gwn.geoweb.kr'),
+            ('sooin', '수인', 'manual', NULL),
+            ('baekje', '백제', 'manual', NULL)
+    ''')
+    
+    # ─────────────────────────────────────────────
+    # 주문 헤더
+    # ─────────────────────────────────────────────
+    cursor.execute('''
+        CREATE TABLE IF NOT EXISTS orders (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            order_no TEXT UNIQUE,             -- 주문번호 (ORD-20260306-001)
+            wholesaler_id TEXT NOT NULL,      -- 도매상 ID
+            
+            -- 주문 정보
+            order_date TEXT NOT NULL,         -- 주문일 (YYYY-MM-DD)
+            order_time TEXT,                  -- 주문시간 (HH:MM:SS)
+            order_type TEXT DEFAULT 'manual', -- 'manual', 'auto', 'scheduled'
+            order_session TEXT,               -- 'morning', 'afternoon', 'evening'
+            
+            -- 상태
+            status TEXT DEFAULT 'draft',      -- draft, pending, submitted, partial, completed, failed, cancelled
+            
+            -- 집계
+            total_items INTEGER DEFAULT 0,
+            total_qty INTEGER DEFAULT 0,
+            success_items INTEGER DEFAULT 0,
+            failed_items INTEGER DEFAULT 0,
+            
+            -- 참조
+            parent_order_id INTEGER,          -- 재주문 시 원주문 참조
+            reference_period TEXT,            -- 사용량 조회 기간 (2026-03-01~2026-03-06)
+            
+            -- 메타
+            note TEXT,
+            created_at TEXT DEFAULT CURRENT_TIMESTAMP,
+            updated_at TEXT DEFAULT CURRENT_TIMESTAMP,
+            submitted_at TEXT,                -- 실제 제출 시간
+            completed_at TEXT,
+            
+            FOREIGN KEY (wholesaler_id) REFERENCES wholesalers(id),
+            FOREIGN KEY (parent_order_id) REFERENCES orders(id)
+        )
+    ''')
+    
+    # ─────────────────────────────────────────────
+    # 주문 품목 상세
+    # ─────────────────────────────────────────────
+    cursor.execute('''
+        CREATE TABLE IF NOT EXISTS order_items (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            order_id INTEGER NOT NULL,
+            
+            -- 약품 정보
+            drug_code TEXT NOT NULL,          -- PIT3000 약품코드
+            kd_code TEXT,                     -- 보험코드 (지오영 검색용)
+            internal_code TEXT,               -- 🔧 도매상 내부 코드 (장바구니 직접 추가용!)
+            product_name TEXT NOT NULL,
+            manufacturer TEXT,
+            
+            -- 규격/수량
+            specification TEXT,               -- '30T', '300T', '500T'
+            unit_qty INTEGER,                 -- 규격당 수량 (30, 300, 500)
+            order_qty INTEGER NOT NULL,       -- 주문 수량 (단위 개수)
+            total_dose INTEGER,               -- 총 정제수 (order_qty * unit_qty)
+            
+            -- 주문 근거
+            usage_qty INTEGER,                -- 사용량 (조회 기간)
+            current_stock INTEGER,            -- 주문 시점 재고
+            
+            -- 가격 (선택)
+            unit_price INTEGER,
+            total_price INTEGER,
+            
+            -- 상태
+            status TEXT DEFAULT 'pending',    -- pending, submitted, success, failed, cancelled
+            
+            -- 결과
+            result_code TEXT,                 -- 'OK', 'OUT_OF_STOCK', 'NOT_FOUND', 'ERROR'
+            result_message TEXT,
+            wholesaler_order_no TEXT,         -- 도매상 측 주문번호
+            
+            -- 메타
+            created_at TEXT DEFAULT CURRENT_TIMESTAMP,
+            updated_at TEXT DEFAULT CURRENT_TIMESTAMP,
+            
+            FOREIGN KEY (order_id) REFERENCES orders(id) ON DELETE CASCADE
+        )
+    ''')
+    
+    # ─────────────────────────────────────────────
+    # 주문 로그 (상태 변경 이력)
+    # ─────────────────────────────────────────────
+    cursor.execute('''
+        CREATE TABLE IF NOT EXISTS order_logs (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            order_id INTEGER NOT NULL,
+            order_item_id INTEGER,            -- NULL이면 주문 전체 로그
+            
+            action TEXT NOT NULL,             -- 'created', 'submitted', 'success', 'failed', 'cancelled'
+            old_status TEXT,
+            new_status TEXT,
+            
+            message TEXT,
+            detail_json TEXT,                 -- API 응답 등 상세 정보
+            
+            created_at TEXT DEFAULT CURRENT_TIMESTAMP,
+            
+            FOREIGN KEY (order_id) REFERENCES orders(id) ON DELETE CASCADE,
+            FOREIGN KEY (order_item_id) REFERENCES order_items(id) ON DELETE CASCADE
+        )
+    ''')
+    
+    # ─────────────────────────────────────────────
+    # 주문 컨텍스트 (AI 학습용 스냅샷)
+    # ─────────────────────────────────────────────
+    cursor.execute('''
+        CREATE TABLE IF NOT EXISTS order_context (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            order_item_id INTEGER NOT NULL,
+            
+            -- 약품 정보
+            drug_code TEXT NOT NULL,
+            product_name TEXT,
+            
+            -- 주문 시점 재고
+            stock_at_order INTEGER,           -- 주문 시점 현재고
+            
+            -- 사용량 분석
+            usage_1d INTEGER,                 -- 최근 1일 사용량
+            usage_7d INTEGER,                 -- 최근 7일 사용량
+            usage_30d INTEGER,                -- 최근 30일 사용량
+            avg_daily_usage REAL,             -- 일평균 사용량 (30일 기준)
+            
+            -- 주문 패턴
+            ordered_spec TEXT,                -- 주문한 규격 (30T, 300T)
+            ordered_qty INTEGER,              -- 주문 수량 (단위 개수)
+            ordered_dose INTEGER,             -- 주문 총 정제수
+            
+            -- 규격 선택 이유 (AI 분석용)
+            available_specs TEXT,             -- 가능한 규격들 JSON ["30T", "300T"]
+            spec_stocks TEXT,                 -- 규격별 도매상 재고 JSON {"30T": 50, "300T": 0}
+            selection_reason TEXT,            -- 'stock_available', 'best_fit', 'only_option', 'user_choice'
+            
+            -- 예측 vs 실제 (나중에 업데이트)
+            days_until_stockout REAL,         -- 주문 시점 예상 재고 소진일
+            actual_reorder_days INTEGER,      -- 실제 재주문까지 일수 (나중에 업데이트)
+            
+            -- 메타
+            created_at TEXT DEFAULT CURRENT_TIMESTAMP,
+            
+            FOREIGN KEY (order_item_id) REFERENCES order_items(id) ON DELETE CASCADE
+        )
+    ''')
+    
+    # ─────────────────────────────────────────────
+    # 일별 사용량 추적 (시계열 데이터)
+    # ─────────────────────────────────────────────
+    cursor.execute('''
+        CREATE TABLE IF NOT EXISTS daily_usage (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            drug_code TEXT NOT NULL,
+            usage_date TEXT NOT NULL,         -- YYYY-MM-DD
+            
+            -- 처방 데이터
+            rx_count INTEGER DEFAULT 0,       -- 처방 건수
+            rx_qty INTEGER DEFAULT 0,         -- 처방 수량 (정제수)
+            
+            -- POS 데이터 (일반약)
+            pos_count INTEGER DEFAULT 0,
+            pos_qty INTEGER DEFAULT 0,
+            
+            -- 집계
+            total_qty INTEGER DEFAULT 0,
+            
+            -- 재고 스냅샷
+            stock_start INTEGER,              -- 시작 재고
+            stock_end INTEGER,                -- 종료 재고
+            
+            created_at TEXT DEFAULT CURRENT_TIMESTAMP,
+            
+            UNIQUE(drug_code, usage_date)
+        )
+    ''')
+    
+    # ─────────────────────────────────────────────
+    # AI 분석 결과/패턴
+    # ─────────────────────────────────────────────
+    cursor.execute('''
+        CREATE TABLE IF NOT EXISTS order_patterns (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            drug_code TEXT NOT NULL,
+            
+            -- 분석 기간
+            analysis_date TEXT NOT NULL,
+            analysis_period_days INTEGER,
+            
+            -- 사용 패턴
+            avg_daily_usage REAL,
+            usage_stddev REAL,                -- 사용량 표준편차 (변동성)
+            peak_usage INTEGER,               -- 최대 사용량
+            
+            -- 주문 패턴
+            typical_order_spec TEXT,          -- 주로 주문하는 규격
+            typical_order_qty INTEGER,        -- 주로 주문하는 수량
+            order_frequency_days REAL,        -- 평균 주문 주기 (일)
+            
+            -- AI 추천
+            recommended_spec TEXT,            -- 추천 규격
+            recommended_qty INTEGER,          -- 추천 수량
+            recommended_reorder_point INTEGER,-- 추천 재주문점 (재고가 이 이하면 주문)
+            confidence_score REAL,            -- 추천 신뢰도 (0-1)
+            
+            -- 모델 정보
+            model_version TEXT,
+            
+            created_at TEXT DEFAULT CURRENT_TIMESTAMP,
+            
+            UNIQUE(drug_code, analysis_date)
+        )
+    ''')
+    
+    # ─────────────────────────────────────────────
+    # 인덱스
+    # ─────────────────────────────────────────────
+    cursor.execute('CREATE INDEX IF NOT EXISTS idx_orders_date ON orders(order_date)')
+    cursor.execute('CREATE INDEX IF NOT EXISTS idx_orders_status ON orders(status)')
+    cursor.execute('CREATE INDEX IF NOT EXISTS idx_orders_wholesaler ON orders(wholesaler_id)')
+    cursor.execute('CREATE INDEX IF NOT EXISTS idx_order_items_drug ON order_items(drug_code)')
+    cursor.execute('CREATE INDEX IF NOT EXISTS idx_order_items_status ON order_items(status)')
+    cursor.execute('CREATE INDEX IF NOT EXISTS idx_order_context_drug ON order_context(drug_code)')
+    cursor.execute('CREATE INDEX IF NOT EXISTS idx_daily_usage_drug ON daily_usage(drug_code)')
+    cursor.execute('CREATE INDEX IF NOT EXISTS idx_daily_usage_date ON daily_usage(usage_date)')
+    cursor.execute('CREATE INDEX IF NOT EXISTS idx_order_patterns_drug ON order_patterns(drug_code)')
+    
+    conn.commit()
+    conn.close()
+    
+    return True
+
+
+def generate_order_no(wholesaler_id: str) -> str:
+    """주문번호 생성 (ORD-GEO-20260306-001)"""
+    prefix_map = {
+        'geoyoung': 'GEO',
+        'sooin': 'SOO',
+        'baekje': 'BAK'
+    }
+    prefix = prefix_map.get(wholesaler_id, 'ORD')
+    date_str = datetime.now().strftime('%Y%m%d')
+    
+    conn = get_connection()
+    cursor = conn.cursor()
+    
+    # 오늘 해당 도매상 주문 수 카운트
+    cursor.execute('''
+        SELECT COUNT(*) FROM orders 
+        WHERE wholesaler_id = ? AND order_date = ?
+    ''', (wholesaler_id, datetime.now().strftime('%Y-%m-%d')))
+    
+    count = cursor.fetchone()[0] + 1
+    conn.close()
+    
+    return f"ORD-{prefix}-{date_str}-{count:03d}"
+
+
+def create_order(wholesaler_id: str, items: List[Dict], 
+                 order_type: str = 'manual', 
+                 order_session: str = None,
+                 reference_period: str = None,
+                 note: str = None) -> Dict:
+    """
+    주문 생성 (draft 상태)
+    
+    items: [
+        {
+            'drug_code': '670400830',
+            'kd_code': '670400830',
+            'product_name': '레바미피드정 30T',
+            'manufacturer': '휴온스',
+            'specification': '30T',
+            'unit_qty': 30,
+            'order_qty': 10,
+            'usage_qty': 280,
+            'current_stock': 50
+        }
+    ]
+    """
+    conn = get_connection()
+    cursor = conn.cursor()
+    
+    try:
+        order_no = generate_order_no(wholesaler_id)
+        now = datetime.now()
+        
+        # 주문 헤더 생성
+        cursor.execute('''
+            INSERT INTO orders (
+                order_no, wholesaler_id, order_date, order_time,
+                order_type, order_session, reference_period, note,
+                total_items, total_qty, status
+            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 'draft')
+        ''', (
+            order_no,
+            wholesaler_id,
+            now.strftime('%Y-%m-%d'),
+            now.strftime('%H:%M:%S'),
+            order_type,
+            order_session,
+            reference_period,
+            note,
+            len(items),
+            sum(item.get('order_qty', 0) for item in items)
+        ))
+        
+        order_id = cursor.lastrowid
+        
+        # 주문 품목 생성
+        for item in items:
+            unit_qty = item.get('unit_qty', 1)
+            order_qty = item.get('order_qty', 0)
+            
+            cursor.execute('''
+                INSERT INTO order_items (
+                    order_id, drug_code, kd_code, internal_code, product_name, manufacturer,
+                    specification, unit_qty, order_qty, total_dose,
+                    usage_qty, current_stock, status
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, 'pending')
+            ''', (
+                order_id,
+                item.get('drug_code'),
+                item.get('kd_code'),
+                item.get('internal_code'),  # 🔧 도매상 내부 코드 저장!
+                item.get('product_name'),
+                item.get('manufacturer'),
+                item.get('specification'),
+                unit_qty,
+                order_qty,
+                order_qty * unit_qty,
+                item.get('usage_qty'),
+                item.get('current_stock')
+            ))
+        
+        # 로그
+        cursor.execute('''
+            INSERT INTO order_logs (order_id, action, new_status, message)
+            VALUES (?, 'created', 'draft', ?)
+        ''', (order_id, f'{len(items)}개 품목 주문 생성'))
+        
+        conn.commit()
+        
+        return {
+            'success': True,
+            'order_id': order_id,
+            'order_no': order_no,
+            'total_items': len(items)
+        }
+        
+    except Exception as e:
+        conn.rollback()
+        return {'success': False, 'error': str(e)}
+    finally:
+        conn.close()
+
+
+def get_order(order_id: int) -> Optional[Dict]:
+    """주문 조회 (품목 포함)"""
+    conn = get_connection()
+    cursor = conn.cursor()
+    
+    cursor.execute('SELECT * FROM orders WHERE id = ?', (order_id,))
+    order = cursor.fetchone()
+    
+    if not order:
+        conn.close()
+        return None
+    
+    cursor.execute('SELECT * FROM order_items WHERE order_id = ?', (order_id,))
+    items = cursor.fetchall()
+    
+    conn.close()
+    
+    return {
+        **dict(order),
+        'items': [dict(item) for item in items]
+    }
+
+
+def update_order_status(order_id: int, status: str, message: str = None) -> bool:
+    """주문 상태 업데이트"""
+    conn = get_connection()
+    cursor = conn.cursor()
+    
+    try:
+        # 현재 상태 조회
+        cursor.execute('SELECT status FROM orders WHERE id = ?', (order_id,))
+        row = cursor.fetchone()
+        if not row:
+            return False
+        
+        old_status = row['status']
+        
+        # 상태 업데이트
+        now = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
+        
+        update_fields = ['status = ?', 'updated_at = ?']
+        params = [status, now]
+        
+        if status == 'submitted':
+            update_fields.append('submitted_at = ?')
+            params.append(now)
+        elif status in ('completed', 'failed'):
+            update_fields.append('completed_at = ?')
+            params.append(now)
+        
+        params.append(order_id)
+        
+        cursor.execute(f'''
+            UPDATE orders SET {', '.join(update_fields)} WHERE id = ?
+        ''', params)
+        
+        # 로그
+        cursor.execute('''
+            INSERT INTO order_logs (order_id, action, old_status, new_status, message)
+            VALUES (?, ?, ?, ?, ?)
+        ''', (order_id, status, old_status, status, message))
+        
+        conn.commit()
+        return True
+        
+    except Exception as e:
+        conn.rollback()
+        return False
+    finally:
+        conn.close()
+
+
+def update_item_result(item_id: int, status: str, result_code: str = None, 
+                       result_message: str = None, wholesaler_order_no: str = None) -> bool:
+    """품목 결과 업데이트"""
+    conn = get_connection()
+    cursor = conn.cursor()
+    
+    try:
+        cursor.execute('''
+            UPDATE order_items SET
+                status = ?,
+                result_code = ?,
+                result_message = ?,
+                wholesaler_order_no = ?,
+                updated_at = CURRENT_TIMESTAMP
+            WHERE id = ?
+        ''', (status, result_code, result_message, wholesaler_order_no, item_id))
+        
+        # 주문 집계 업데이트
+        cursor.execute('SELECT order_id FROM order_items WHERE id = ?', (item_id,))
+        order_id = cursor.fetchone()['order_id']
+        
+        cursor.execute('''
+            UPDATE orders SET
+                success_items = (SELECT COUNT(*) FROM order_items WHERE order_id = ? AND status = 'success'),
+                failed_items = (SELECT COUNT(*) FROM order_items WHERE order_id = ? AND status = 'failed'),
+                updated_at = CURRENT_TIMESTAMP
+            WHERE id = ?
+        ''', (order_id, order_id, order_id))
+        
+        conn.commit()
+        return True
+        
+    except Exception as e:
+        conn.rollback()
+        return False
+    finally:
+        conn.close()
+
+
+def get_order_history(wholesaler_id: str = None, 
+                      start_date: str = None, 
+                      end_date: str = None,
+                      status: str = None,
+                      limit: int = 50) -> List[Dict]:
+    """주문 이력 조회"""
+    conn = get_connection()
+    cursor = conn.cursor()
+    
+    query = 'SELECT * FROM orders WHERE 1=1'
+    params = []
+    
+    if wholesaler_id:
+        query += ' AND wholesaler_id = ?'
+        params.append(wholesaler_id)
+    
+    if start_date:
+        query += ' AND order_date >= ?'
+        params.append(start_date)
+    
+    if end_date:
+        query += ' AND order_date <= ?'
+        params.append(end_date)
+    
+    if status:
+        query += ' AND status = ?'
+        params.append(status)
+    
+    query += ' ORDER BY created_at DESC LIMIT ?'
+    params.append(limit)
+    
+    cursor.execute(query, params)
+    orders = [dict(row) for row in cursor.fetchall()]
+    
+    conn.close()
+    return orders
+
+
+# ─────────────────────────────────────────────
+# AI 학습용 함수들
+# ─────────────────────────────────────────────
+
+def save_order_context(order_item_id: int, context: Dict) -> bool:
+    """
+    주문 시점 컨텍스트 저장 (AI 학습용)
+    
+    context: {
+        'drug_code': '670400830',
+        'product_name': '레바미피드정',
+        'stock_at_order': 50,
+        'usage_1d': 30,
+        'usage_7d': 180,
+        'usage_30d': 800,
+        'ordered_spec': '30T',
+        'ordered_qty': 10,
+        'available_specs': ['30T', '300T'],
+        'spec_stocks': {'30T': 50, '300T': 0},
+        'selection_reason': 'stock_available'
+    }
+    """
+    conn = get_connection()
+    cursor = conn.cursor()
+    
+    try:
+        # 일평균 사용량 계산
+        usage_30d = context.get('usage_30d', 0)
+        avg_daily = usage_30d / 30.0 if usage_30d else 0
+        
+        # 재고 소진 예상일 계산
+        stock = context.get('stock_at_order', 0)
+        days_until_stockout = stock / avg_daily if avg_daily > 0 else None
+        
+        # 주문 총 정제수
+        ordered_qty = context.get('ordered_qty', 0)
+        spec = context.get('ordered_spec', '')
+        unit_qty = int(''.join(filter(str.isdigit, spec))) if spec else 1
+        ordered_dose = ordered_qty * unit_qty
+        
+        cursor.execute('''
+            INSERT INTO order_context (
+                order_item_id, drug_code, product_name,
+                stock_at_order, usage_1d, usage_7d, usage_30d, avg_daily_usage,
+                ordered_spec, ordered_qty, ordered_dose,
+                available_specs, spec_stocks, selection_reason,
+                days_until_stockout
+            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+        ''', (
+            order_item_id,
+            context.get('drug_code'),
+            context.get('product_name'),
+            context.get('stock_at_order'),
+            context.get('usage_1d'),
+            context.get('usage_7d'),
+            context.get('usage_30d'),
+            avg_daily,
+            context.get('ordered_spec'),
+            ordered_qty,
+            ordered_dose,
+            json.dumps(context.get('available_specs', []), ensure_ascii=False),
+            json.dumps(context.get('spec_stocks', {}), ensure_ascii=False),
+            context.get('selection_reason'),
+            days_until_stockout
+        ))
+        
+        conn.commit()
+        return True
+        
+    except Exception as e:
+        conn.rollback()
+        return False
+    finally:
+        conn.close()
+
+
+def update_daily_usage(drug_code: str, usage_date: str, 
+                       rx_count: int = 0, rx_qty: int = 0,
+                       pos_count: int = 0, pos_qty: int = 0,
+                       stock_end: int = None) -> bool:
+    """일별 사용량 업데이트 (UPSERT)"""
+    conn = get_connection()
+    cursor = conn.cursor()
+    
+    try:
+        total_qty = rx_qty + pos_qty
+        
+        cursor.execute('''
+            INSERT INTO daily_usage (
+                drug_code, usage_date, rx_count, rx_qty, pos_count, pos_qty, 
+                total_qty, stock_end
+            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?)
+            ON CONFLICT(drug_code, usage_date) DO UPDATE SET
+                rx_count = rx_count + excluded.rx_count,
+                rx_qty = rx_qty + excluded.rx_qty,
+                pos_count = pos_count + excluded.pos_count,
+                pos_qty = pos_qty + excluded.pos_qty,
+                total_qty = total_qty + excluded.total_qty,
+                stock_end = COALESCE(excluded.stock_end, stock_end)
+        ''', (drug_code, usage_date, rx_count, rx_qty, pos_count, pos_qty, 
+              total_qty, stock_end))
+        
+        conn.commit()
+        return True
+        
+    except Exception as e:
+        conn.rollback()
+        return False
+    finally:
+        conn.close()
+
+
+def get_usage_stats(drug_code: str, days: int = 30) -> Dict:
+    """약품 사용량 통계 조회 (AI 분석용)"""
+    conn = get_connection()
+    cursor = conn.cursor()
+    
+    from datetime import datetime, timedelta
+    end_date = datetime.now().strftime('%Y-%m-%d')
+    start_date = (datetime.now() - timedelta(days=days)).strftime('%Y-%m-%d')
+    
+    cursor.execute('''
+        SELECT 
+            COUNT(*) as days_with_data,
+            SUM(total_qty) as total_usage,
+            AVG(total_qty) as avg_daily,
+            MAX(total_qty) as max_daily,
+            MIN(total_qty) as min_daily
+        FROM daily_usage
+        WHERE drug_code = ? AND usage_date BETWEEN ? AND ?
+    ''', (drug_code, start_date, end_date))
+    
+    row = cursor.fetchone()
+    conn.close()
+    
+    if row and row['total_usage']:
+        return {
+            'drug_code': drug_code,
+            'period_days': days,
+            'days_with_data': row['days_with_data'],
+            'total_usage': row['total_usage'],
+            'avg_daily': round(row['avg_daily'], 2) if row['avg_daily'] else 0,
+            'max_daily': row['max_daily'],
+            'min_daily': row['min_daily']
+        }
+    
+    return {
+        'drug_code': drug_code,
+        'period_days': days,
+        'days_with_data': 0,
+        'total_usage': 0,
+        'avg_daily': 0,
+        'max_daily': 0,
+        'min_daily': 0
+    }
+
+
+def get_order_pattern(drug_code: str) -> Optional[Dict]:
+    """약품 주문 패턴 조회"""
+    conn = get_connection()
+    cursor = conn.cursor()
+    
+    # 최근 주문 이력 분석
+    cursor.execute('''
+        SELECT 
+            oi.specification,
+            oi.order_qty,
+            oi.total_dose,
+            o.order_date
+        FROM order_items oi
+        JOIN orders o ON oi.order_id = o.id
+        WHERE oi.drug_code = ? AND oi.status = 'success'
+        ORDER BY o.order_date DESC
+        LIMIT 10
+    ''', (drug_code,))
+    
+    orders = [dict(row) for row in cursor.fetchall()]
+    
+    if not orders:
+        conn.close()
+        return None
+    
+    # 가장 많이 사용된 규격
+    spec_counts = {}
+    for o in orders:
+        spec = o['specification']
+        spec_counts[spec] = spec_counts.get(spec, 0) + 1
+    
+    typical_spec = max(spec_counts, key=spec_counts.get)
+    
+    # 평균 주문 수량
+    typical_qty = sum(o['order_qty'] for o in orders) // len(orders)
+    
+    # 주문 주기 계산
+    if len(orders) >= 2:
+        dates = [datetime.strptime(o['order_date'], '%Y-%m-%d') for o in orders]
+        intervals = [(dates[i] - dates[i+1]).days for i in range(len(dates)-1)]
+        avg_interval = sum(intervals) / len(intervals) if intervals else 0
+    else:
+        avg_interval = 0
+    
+    conn.close()
+    
+    return {
+        'drug_code': drug_code,
+        'order_count': len(orders),
+        'typical_spec': typical_spec,
+        'typical_qty': typical_qty,
+        'avg_order_interval_days': round(avg_interval, 1),
+        'recent_orders': orders[:5]
+    }
+
+
+def get_ai_training_data(limit: int = 1000) -> List[Dict]:
+    """AI 학습용 데이터 추출"""
+    conn = get_connection()
+    cursor = conn.cursor()
+    
+    cursor.execute('''
+        SELECT 
+            oc.*,
+            oi.status as order_status,
+            oi.result_code,
+            o.order_date,
+            o.wholesaler_id
+        FROM order_context oc
+        JOIN order_items oi ON oc.order_item_id = oi.id
+        JOIN orders o ON oi.order_id = o.id
+        ORDER BY oc.created_at DESC
+        LIMIT ?
+    ''', (limit,))
+    
+    data = []
+    for row in cursor.fetchall():
+        item = dict(row)
+        # JSON 필드 파싱
+        if item.get('available_specs'):
+            item['available_specs'] = json.loads(item['available_specs'])
+        if item.get('spec_stocks'):
+            item['spec_stocks'] = json.loads(item['spec_stocks'])
+        data.append(item)
+    
+    conn.close()
+    return data
+
+
+def save_ai_pattern(drug_code: str, pattern: Dict) -> bool:
+    """AI 분석 결과 저장"""
+    conn = get_connection()
+    cursor = conn.cursor()
+    
+    try:
+        today = datetime.now().strftime('%Y-%m-%d')
+        
+        cursor.execute('''
+            INSERT INTO order_patterns (
+                drug_code, analysis_date, analysis_period_days,
+                avg_daily_usage, usage_stddev, peak_usage,
+                typical_order_spec, typical_order_qty, order_frequency_days,
+                recommended_spec, recommended_qty, recommended_reorder_point,
+                confidence_score, model_version
+            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+            ON CONFLICT(drug_code, analysis_date) DO UPDATE SET
+                avg_daily_usage = excluded.avg_daily_usage,
+                recommended_spec = excluded.recommended_spec,
+                recommended_qty = excluded.recommended_qty,
+                confidence_score = excluded.confidence_score
+        ''', (
+            drug_code,
+            today,
+            pattern.get('period_days', 30),
+            pattern.get('avg_daily_usage'),
+            pattern.get('usage_stddev'),
+            pattern.get('peak_usage'),
+            pattern.get('typical_order_spec'),
+            pattern.get('typical_order_qty'),
+            pattern.get('order_frequency_days'),
+            pattern.get('recommended_spec'),
+            pattern.get('recommended_qty'),
+            pattern.get('recommended_reorder_point'),
+            pattern.get('confidence_score'),
+            pattern.get('model_version', 'v1')
+        ))
+        
+        conn.commit()
+        return True
+        
+    except Exception as e:
+        conn.rollback()
+        return False
+    finally:
+        conn.close()
+
+
+# 초기화 실행
+init_db()

backend/order_recommendation.py

@@ -0,0 +1,291 @@
+# -*- coding: utf-8 -*-
+"""
+주문 추천 API v2
+- 의약품 도메인 지식 반영
+- 처방 빈도 기반 차등 추천
+- 저빈도 약품: 나간 만큼만 보충
+- 고빈도 약품: 일평균 기반 주문
+"""
+
+import pyodbc
+import logging
+from datetime import datetime, timedelta
+from flask import Blueprint, jsonify, request
+
+order_recommendation_bp = Blueprint('order_recommendation', __name__)
+
+
+def get_mssql_connection(db_name='PM_DRUG'):
+    conn_str = (
+        'DRIVER={ODBC Driver 17 for SQL Server};'
+        f'SERVER=192.168.0.4\\PM2014;'
+        f'DATABASE={db_name};'
+        'UID=sa;'
+        'PWD=tmddls214!%(;'
+        'TrustServerCertificate=yes'
+    )
+    return pyodbc.connect(conn_str, timeout=10)
+
+
+@order_recommendation_bp.route('/api/order-recommendation')
+def api_order_recommendation():
+    """
+    주문 추천 목록 API v2
+    
+    의약품 도메인 지식 반영:
+    1. 고빈도 약품 (7일 이상 데이터, 3건 이상 처방): 일평균 × N일분
+    2. 저빈도 약품 (가끔 사용): 나간 만큼만 보충
+    3. 유통기한/폐기 위험 고려하여 과잉 주문 방지
+    
+    GET /api/order-recommendation?days_threshold=7&order_days=14&limit=50
+    """
+    try:
+        days_threshold = int(request.args.get('days_threshold', 7))  # N일 이내 소진
+        order_days = int(request.args.get('order_days', 14))  # 고빈도 약품 주문 기준 일수
+        limit = int(request.args.get('limit', 50))
+        min_data_days = int(request.args.get('min_data_days', 3))  # 최소 데이터 일수
+        
+        conn = get_mssql_connection('PM_DRUG')
+        cursor = conn.cursor()
+        
+        today = datetime.now().date()
+        thirty_days_ago = today - timedelta(days=30)
+        
+        # 1단계: 재고 있는 품목 + 최근 30일 출고/입고 + 처방 건수 조회
+        cursor.execute("""
+            WITH StockItems AS (
+                SELECT 
+                    G.DrugCode,
+                    G.GoodsName,
+                    G.BARCODE,
+                    ISNULL(IT.IM_QT_sale_debit, 0) as current_stock
+                FROM CD_GOODS G
+                INNER JOIN IM_total IT ON G.DrugCode = IT.DrugCode
+                WHERE ISNULL(IT.IM_QT_sale_debit, 0) > 0
+            ),
+            Outbound AS (
+                SELECT 
+                    DrugCode,
+                    SUM(ISNULL(IM_QT_sale_credit, 0)) as total_outbound,
+                    SUM(ISNULL(IM_QT_sale_debit, 0)) as total_inbound,
+                    COUNT(DISTINCT IM_DT_appl) as data_days,
+                    MAX(IM_DT_appl) as last_outbound_date
+                FROM IM_date_total
+                WHERE IM_DT_appl >= ?
+                  AND IM_DT_appl <= ?
+                GROUP BY DrugCode
+            )
+            SELECT 
+                S.DrugCode,
+                S.GoodsName,
+                S.BARCODE,
+                S.current_stock,
+                ISNULL(O.total_outbound, 0) as total_outbound,
+                ISNULL(O.total_inbound, 0) as total_inbound,
+                ISNULL(O.data_days, 0) as data_days,
+                O.last_outbound_date
+            FROM StockItems S
+            LEFT JOIN Outbound O ON S.DrugCode = O.DrugCode
+            WHERE ISNULL(O.total_outbound, 0) > 0
+        """, (thirty_days_ago.strftime('%Y%m%d'), today.strftime('%Y%m%d')))
+        
+        rows = cursor.fetchall()
+        
+        # 2단계: 처방 건수 조회 (PM_PRES)
+        drug_codes = [row.DrugCode for row in rows]
+        rx_counts = {}
+        
+        if drug_codes:
+            conn_pres = get_mssql_connection('PM_PRES')
+            cursor_pres = conn_pres.cursor()
+            
+            # 최근 30일 처방 건수
+            placeholders = ','.join(['?' for _ in drug_codes])
+            cursor_pres.execute(f"""
+                SELECT DrugCode, COUNT(DISTINCT PreSerial) as rx_count
+                FROM PS_sub_pharm
+                WHERE DrugCode IN ({placeholders})
+                  AND PreSerial >= ?
+                GROUP BY DrugCode
+            """, drug_codes + [thirty_days_ago.strftime('%Y%m%d')])
+            
+            for row in cursor_pres.fetchall():
+                rx_counts[row.DrugCode] = row.rx_count
+            
+            conn_pres.close()
+        
+        conn.close()
+        
+        # 3단계: 추천 로직 (도메인 지식 반영)
+        recommendations = []
+        
+        for row in rows:
+            drug_code = row.DrugCode
+            goods_name = row.GoodsName
+            barcode = row.BARCODE or ''
+            current_stock = int(row.current_stock)
+            total_outbound = int(row.total_outbound)
+            total_inbound = int(row.total_inbound)
+            data_days = int(row.data_days)
+            rx_count = rx_counts.get(drug_code, 0)
+            
+            # === 약품 분류 ===
+            # 고빈도: 7일 이상 데이터 AND 3건 이상 처방
+            # 저빈도: 그 외
+            is_high_frequency = data_days >= 7 and rx_count >= 3
+            
+            if is_high_frequency:
+                # === 고빈도 약품: 나간 만큼 + 약간 버퍼 ===
+                avg_daily = total_outbound / data_days
+                days_until_empty = current_stock / avg_daily if avg_daily > 0 else 999
+                
+                if days_until_empty > days_threshold:
+                    continue  # 아직 여유 있음
+                
+                # 기본: 나간 만큼 주문 + 10% 버퍼
+                recommended_qty = int(total_outbound * 1.1)
+                
+                # 현재 재고 고려 (이미 있는 건 빼기)
+                recommended_qty = max(0, recommended_qty - current_stock)
+                
+                # 최소 주문량 (나간 양의 50% 이상)
+                min_qty = int(total_outbound * 0.5)
+                if recommended_qty < min_qty:
+                    recommended_qty = min_qty
+                
+                calc_method = 'high_freq'
+                
+            else:
+                # === 저빈도 약품: 나간 만큼만 보충 ===
+                # 원래 재고 수준으로 복구
+                original_stock = current_stock + total_outbound - total_inbound
+                
+                # 나간 만큼만 주문 (과잉 주문 방지)
+                recommended_qty = int(total_outbound)
+                
+                # 현재 재고가 이미 충분하면 스킵
+                if current_stock >= original_stock * 0.5:
+                    continue
+                
+                # 일평균 개념 없음, 대략적인 소진일
+                if total_outbound > 0 and data_days > 0:
+                    # 한 달에 total_outbound 나갔으니, 하루 평균
+                    rough_daily = total_outbound / 30
+                    days_until_empty = current_stock / rough_daily if rough_daily > 0 else 999
+                else:
+                    days_until_empty = 999
+                
+                if days_until_empty > days_threshold * 2:  # 저빈도는 기준 완화
+                    continue
+                
+                avg_daily = total_outbound / 30  # 대략적
+                calc_method = 'low_freq'
+            
+            # 재고가 0 이하면 긴급
+            if current_stock <= 0:
+                days_until_empty = 0
+            
+            # 소진 예상일
+            empty_date = today + timedelta(days=int(min(days_until_empty, 365)))
+            
+            # 신뢰도
+            if data_days >= 20 and rx_count >= 10:
+                confidence = 'high'
+            elif data_days >= 7 and rx_count >= 3:
+                confidence = 'medium'
+            else:
+                confidence = 'low'
+            
+            # 긴급도
+            if days_until_empty <= 3:
+                urgency = 'critical'
+            elif days_until_empty <= 5:
+                urgency = 'high'
+            elif days_until_empty <= days_threshold:
+                urgency = 'normal'
+            else:
+                urgency = 'low'
+            
+            recommendations.append({
+                'drug_code': drug_code,
+                'goods_name': goods_name,
+                'barcode': barcode,
+                'current_stock': current_stock,
+                'total_outbound_30d': total_outbound,
+                'avg_daily_usage': round(avg_daily, 2),
+                'days_until_empty': round(days_until_empty, 1),
+                'empty_date': empty_date.strftime('%Y-%m-%d'),
+                'recommended_qty': recommended_qty,
+                'rx_count_30d': rx_count,
+                'data_days': data_days,
+                'confidence': confidence,
+                'urgency': urgency,
+                'calc_method': calc_method,  # 계산 방식
+                'is_high_frequency': is_high_frequency
+            })
+        
+        # 4단계: 정렬 (긴급도 → 소진일)
+        urgency_order = {'critical': 0, 'high': 1, 'normal': 2, 'low': 3}
+        recommendations.sort(key=lambda x: (urgency_order.get(x['urgency'], 9), x['days_until_empty']))
+        recommendations = recommendations[:limit]
+        
+        # 5단계: 요약
+        critical_count = sum(1 for r in recommendations if r['urgency'] == 'critical')
+        high_count = sum(1 for r in recommendations if r['urgency'] == 'high')
+        high_freq_count = sum(1 for r in recommendations if r['is_high_frequency'])
+        low_freq_count = sum(1 for r in recommendations if not r['is_high_frequency'])
+        total_order_qty = sum(r['recommended_qty'] for r in recommendations)
+        
+        return jsonify({
+            'success': True,
+            'version': '2.0',
+            'generated_at': datetime.now().isoformat(),
+            'params': {
+                'days_threshold': days_threshold,
+                'order_days': order_days,
+                'min_data_days': min_data_days
+            },
+            'summary': {
+                'total_items': len(recommendations),
+                'critical_count': critical_count,
+                'high_count': high_count,
+                'high_frequency_items': high_freq_count,
+                'low_frequency_items': low_freq_count,
+                'total_recommended_qty': total_order_qty
+            },
+            'recommendations': recommendations
+        })
+        
+    except Exception as e:
+        logging.error(f"order-recommendation API error: {e}")
+        import traceback
+        traceback.print_exc()
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+
+@order_recommendation_bp.route('/api/order-recommendation/execute', methods=['POST'])
+def api_execute_order():
+    """주문 실행 API (POST) - TODO"""
+    try:
+        data = request.get_json()
+        if not data:
+            return jsonify({'success': False, 'error': 'No data'}), 400
+        
+        wholesaler = data.get('wholesaler', 'sooin')
+        items = data.get('items', [])
+        dry_run = data.get('dry_run', True)
+        
+        if not items:
+            return jsonify({'success': False, 'error': 'No items'}), 400
+        
+        return jsonify({
+            'success': True,
+            'wholesaler': wholesaler,
+            'dry_run': dry_run,
+            'items_count': len(items),
+            'message': 'Simulation complete' if dry_run else 'Order submitted'
+        })
+        
+    except Exception as e:
+        logging.error(f"execute-order API error: {e}")
+        return jsonify({'success': False, 'error': str(e)}), 500

backend/paai_feedback.py

@@ -0,0 +1,225 @@
+# -*- coding: utf-8 -*-
+"""
+PAAI 피드백 루프 시스템
+- 피드백 수집, AI 정제, 프롬프트 인젝션
+"""
+
+import sqlite3
+import os
+import json
+from datetime import datetime
+from flask import Blueprint, request, jsonify
+
+paai_feedback_bp = Blueprint('paai_feedback', __name__)
+
+# DB 경로
+DB_PATH = os.path.join(os.path.dirname(__file__), 'db', 'paai_feedback.db')
+
+def get_db():
+    """DB 연결"""
+    os.makedirs(os.path.dirname(DB_PATH), exist_ok=True)
+    conn = sqlite3.connect(DB_PATH)
+    conn.row_factory = sqlite3.Row
+    return conn
+
+def init_db():
+    """테이블 초기화"""
+    conn = get_db()
+    conn.execute('''
+        CREATE TABLE IF NOT EXISTS paai_feedback (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+            
+            -- 컨텍스트
+            prescription_id TEXT,
+            patient_name TEXT,
+            patient_context TEXT,
+            
+            -- PAAI 응답
+            paai_request TEXT,
+            paai_response TEXT,
+            
+            -- 피드백
+            rating TEXT,
+            category TEXT,
+            pharmacist_comment TEXT,
+            
+            -- AI 정제 결과
+            refined_rule TEXT,
+            confidence REAL,
+            
+            -- 적용 상태
+            applied_to_prompt INTEGER DEFAULT 0,
+            applied_to_training INTEGER DEFAULT 0
+        )
+    ''')
+    conn.commit()
+    conn.close()
+
+# 앱 시작 시 테이블 생성
+init_db()
+
+
+@paai_feedback_bp.route('/api/paai/feedback', methods=['POST'])
+def submit_feedback():
+    """피드백 제출"""
+    try:
+        data = request.json
+        
+        conn = get_db()
+        cursor = conn.cursor()
+        
+        cursor.execute('''
+            INSERT INTO paai_feedback (
+                prescription_id, patient_name, patient_context,
+                paai_request, paai_response,
+                rating, category, pharmacist_comment
+            ) VALUES (?, ?, ?, ?, ?, ?, ?, ?)
+        ''', (
+            data.get('prescription_id'),
+            data.get('patient_name'),
+            json.dumps(data.get('patient_context', {}), ensure_ascii=False),
+            data.get('paai_request'),
+            data.get('paai_response'),
+            data.get('rating'),  # 'good' or 'bad'
+            data.get('category'),  # 'interaction', 'indication', 'dosage', 'other'
+            data.get('pharmacist_comment')
+        ))
+        
+        feedback_id = cursor.lastrowid
+        conn.commit()
+        
+        # bad 피드백이고 코멘트가 있으면 AI 정제 시도
+        if data.get('rating') == 'bad' and data.get('pharmacist_comment'):
+            refined = refine_feedback_async(feedback_id, data)
+            if refined:
+                cursor.execute('''
+                    UPDATE paai_feedback 
+                    SET refined_rule = ?, confidence = ?
+                    WHERE id = ?
+                ''', (refined['rule'], refined['confidence'], feedback_id))
+                conn.commit()
+        
+        conn.close()
+        
+        return jsonify({
+            'success': True,
+            'feedback_id': feedback_id,
+            'message': '피드백이 저장되었습니다.'
+        })
+        
+    except Exception as e:
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+
+def refine_feedback_async(feedback_id, data):
+    """피드백을 규칙으로 정제 (동기 버전 - 나중에 비동기로 변경 가능)"""
+    try:
+        # TODO: AI 호출로 정제
+        # 지금은 간단히 코멘트를 규칙 형태로 저장
+        comment = data.get('pharmacist_comment', '')
+        if not comment:
+            return None
+        
+        # 간단한 규칙 형태로 변환
+        category = data.get('category', 'other')
+        rule = f"[{category}] {comment}"
+        
+        return {
+            'rule': rule,
+            'confidence': 0.8  # 기본 신뢰도
+        }
+    except:
+        return None
+
+
+@paai_feedback_bp.route('/api/paai/feedback/rules', methods=['GET'])
+def get_feedback_rules():
+    """축적된 피드백 규칙 조회 (프롬프트 인젝션용)"""
+    try:
+        conn = get_db()
+        cursor = conn.cursor()
+        
+        # bad 피드백 중 정제된 규칙만
+        cursor.execute('''
+            SELECT refined_rule, category, created_at
+            FROM paai_feedback
+            WHERE rating = 'bad' 
+            AND refined_rule IS NOT NULL
+            ORDER BY created_at DESC
+            LIMIT 20
+        ''')
+        
+        rules = []
+        for row in cursor.fetchall():
+            rules.append({
+                'rule': row['refined_rule'],
+                'category': row['category'],
+                'created_at': row['created_at']
+            })
+        
+        conn.close()
+        
+        return jsonify({
+            'success': True,
+            'rules': rules,
+            'count': len(rules)
+        })
+        
+    except Exception as e:
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+
+@paai_feedback_bp.route('/api/paai/feedback/stats', methods=['GET'])
+def get_feedback_stats():
+    """피드백 통계"""
+    try:
+        conn = get_db()
+        cursor = conn.cursor()
+        
+        cursor.execute('''
+            SELECT 
+                COUNT(*) as total,
+                SUM(CASE WHEN rating = 'good' THEN 1 ELSE 0 END) as good,
+                SUM(CASE WHEN rating = 'bad' THEN 1 ELSE 0 END) as bad
+            FROM paai_feedback
+        ''')
+        row = cursor.fetchone()
+        
+        conn.close()
+        
+        return jsonify({
+            'success': True,
+            'stats': {
+                'total': row['total'] or 0,
+                'good': row['good'] or 0,
+                'bad': row['bad'] or 0
+            }
+        })
+        
+    except Exception as e:
+        return jsonify({'success': False, 'error': str(e)}), 500
+
+
+def get_rules_for_prompt(patient_context=None):
+    """프롬프트에 주입할 규칙 목록 반환"""
+    try:
+        conn = get_db()
+        cursor = conn.cursor()
+        
+        # 최근 규칙 20개
+        cursor.execute('''
+            SELECT refined_rule
+            FROM paai_feedback
+            WHERE rating = 'bad' 
+            AND refined_rule IS NOT NULL
+            ORDER BY created_at DESC
+            LIMIT 20
+        ''')
+        
+        rules = [row['refined_rule'] for row in cursor.fetchall()]
+        conn.close()
+        
+        return rules
+    except:
+        return []

backend/paai_printer.py

@@ -0,0 +1,159 @@
+"""PAAI ESC/POS 프린터 모듈"""
+import json
+from datetime import datetime
+from escpos.printer import Network
+from PIL import Image, ImageDraw, ImageFont
+
+# 프린터 설정
+PRINTER_IP = "192.168.0.174"
+PRINTER_PORT = 9100
+THERMAL_WIDTH = 576
+
+
+def print_paai_result(pre_serial: str, patient_name: str, analysis: dict, kims_summary: dict) -> dict:
+    """PAAI 분석 결과 인쇄"""
+    try:
+        # 이미지 생성
+        img = create_receipt_image(pre_serial, patient_name, analysis, kims_summary)
+        
+        # 프린터 연결 및 출력
+        p = Network(PRINTER_IP, port=PRINTER_PORT, timeout=15)
+        p.image(img)
+        p.text('\n\n\n')
+        p.cut()
+        
+        return {'success': True, 'message': '인쇄 완료'}
+    except Exception as e:
+        return {'success': False, 'error': str(e)}
+
+
+def create_receipt_image(pre_serial: str, patient_name: str, analysis: dict, kims_summary: dict) -> Image:
+    """영수증 이미지 생성"""
+    # 폰트
+    try:
+        font_title = ImageFont.truetype('malgun.ttf', 28)
+        font_section = ImageFont.truetype('malgunbd.ttf', 20)
+        font_normal = ImageFont.truetype('malgun.ttf', 18)
+        font_small = ImageFont.truetype('malgun.ttf', 15)
+    except:
+        font_title = ImageFont.load_default()
+        font_section = font_title
+        font_normal = font_title
+        font_small = font_title
+    
+    width = THERMAL_WIDTH
+    padding = 20
+    y = padding
+    
+    # 이미지 생성
+    img = Image.new('RGB', (width, 1000), 'white')
+    draw = ImageDraw.Draw(img)
+    
+    # 헤더
+    draw.text((width//2, y), 'PAAI 복약안내', font=font_title, fill='black', anchor='mt')
+    y += 40
+    draw.line([(padding, y), (width-padding, y)], fill='black', width=1)
+    y += 15
+    
+    # 환자 정보
+    draw.text((padding, y), f'환자: {patient_name}', font=font_normal, fill='black')
+    y += 25
+    draw.text((padding, y), f'처방번호: {pre_serial}', font=font_small, fill='black')
+    y += 20
+    now_str = datetime.now().strftime("%Y-%m-%d %H:%M")
+    draw.text((padding, y), f'출력: {now_str}', font=font_small, fill='black')
+    y += 25
+    draw.line([(padding, y), (width-padding, y)], fill='black', width=1)
+    y += 15
+    
+    # 상호작용
+    interaction_count = kims_summary.get('interaction_count', 0)
+    has_severe = kims_summary.get('has_severe', False)
+    
+    if has_severe:
+        draw.text((padding, y), '[주의] 중증 상호작용 있음!', font=font_section, fill='black')
+    elif interaction_count > 0:
+        draw.text((padding, y), f'약물 상호작용: {interaction_count}건', font=font_normal, fill='black')
+    else:
+        draw.text((padding, y), '상호작용 없음', font=font_normal, fill='black')
+    y += 30
+    
+    # 처방 해석
+    insight = analysis.get('prescription_insight', '')
+    if insight:
+        draw.text((padding, y), '[처방 해석]', font=font_section, fill='black')
+        y += 28
+        for line in wrap_text(insight, 40)[:3]:
+            draw.text((padding, y), line, font=font_small, fill='black')
+            y += 20
+        y += 10
+    
+    # 주의사항
+    cautions = analysis.get('cautions', [])
+    if cautions:
+        draw.text((padding, y), '[복용 주의사항]', font=font_section, fill='black')
+        y += 28
+        for i, c in enumerate(cautions[:3], 1):
+            for line in wrap_text(f'{i}. {c}', 40)[:2]:
+                draw.text((padding, y), line, font=font_small, fill='black')
+                y += 20
+        y += 10
+    
+    # 상담 포인트
+    counseling = analysis.get('counseling_points', [])
+    if counseling:
+        draw.text((padding, y), '[상담 포인트]', font=font_section, fill='black')
+        y += 28
+        for i, c in enumerate(counseling[:2], 1):
+            for line in wrap_text(f'{i}. {c}', 40)[:2]:
+                draw.text((padding, y), line, font=font_small, fill='black')
+                y += 20
+        y += 10
+    
+    # 푸터
+    y += 10
+    draw.line([(padding, y), (width-padding, y)], fill='black', width=1)
+    y += 15
+    draw.text((width//2, y), '양구청춘약국 PAAI', font=font_small, fill='black', anchor='mt')
+    
+    return img.crop((0, 0, width, y + 30))
+
+
+def wrap_text(text: str, max_chars: int = 40) -> list:
+    """텍스트 줄바꿈"""
+    lines = []
+    words = text.split()
+    current = ""
+    
+    for word in words:
+        if len(current) + len(word) + 1 <= max_chars:
+            current = current + " " + word if current else word
+        else:
+            if current:
+                lines.append(current)
+            current = word
+    
+    if current:
+        lines.append(current)
+    
+    return lines if lines else [text[:max_chars]]
+
+
+if __name__ == '__main__':
+    # CLI 테스트
+    import sys
+    if len(sys.argv) > 1:
+        pre_serial = sys.argv[1]
+    else:
+        pre_serial = '20260305000075'
+    
+    # 테스트 데이터
+    analysis = {
+        'prescription_insight': '테스트 처방입니다.',
+        'cautions': ['주의사항 1', '주의사항 2'],
+        'counseling_points': ['상담 포인트 1']
+    }
+    kims_summary = {'interaction_count': 0, 'has_severe': False}
+    
+    result = print_paai_result(pre_serial, '테스트환자', analysis, kims_summary)
+    print(result)

backend/paai_printer_cli.py

@@ -0,0 +1,201 @@
+"""PAAI ESC/POS 프린터 CLI - EUC-KR 텍스트 방식"""
+import sys
+import json
+import socket
+from datetime import datetime
+
+# 프린터 설정
+PRINTER_IP = "192.168.0.174"
+PRINTER_PORT = 9100
+
+# ESC/POS 명령어
+ESC = b'\x1b'
+INIT = ESC + b'@'           # 프린터 초기화
+CUT = ESC + b'd\x03'        # 피드 + 커트
+
+
+def print_raw(data: bytes) -> bool:
+    """바이트 데이터를 프린터로 전송"""
+    try:
+        sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+        sock.settimeout(10)
+        sock.connect((PRINTER_IP, PRINTER_PORT))
+        sock.sendall(data)
+        sock.close()
+        return True
+    except Exception as e:
+        print(f"프린터 오류: {e}", file=sys.stderr)
+        return False
+
+
+def wrap_text(text: str, width: int = 44) -> list:
+    """텍스트 줄바꿈 (44자 기준, 들여쓰기 고려)"""
+    if not text:
+        return []
+    
+    lines = []
+    words = text.split()
+    current = ""
+    
+    for word in words:
+        if len(current) + len(word) + 1 <= width:
+            current = current + " " + word if current else word
+        else:
+            if current:
+                lines.append(current)
+            current = word
+    
+    if current:
+        lines.append(current)
+    
+    return lines if lines else [text[:width]]
+
+
+def center_text(text: str, width: int = 48) -> str:
+    """중앙 정렬"""
+    text_len = len(text)
+    if text_len >= width:
+        return text
+    spaces = (width - text_len) // 2
+    return " " * spaces + text
+
+
+def format_paai_receipt(pre_serial: str, patient_name: str, 
+                        analysis: dict, kims_summary: dict) -> str:
+    """PAAI 복약안내 영수증 텍스트 생성 (48자 기준)"""
+    
+    LINE = "=" * 48
+    THIN = "-" * 48
+    now = datetime.now().strftime("%Y-%m-%d %H:%M")
+    
+    # 헤더
+    msg = f"\n{LINE}\n"
+    msg += center_text("[ PAAI 복약안내 ]") + "\n"
+    msg += f"{LINE}\n"
+    
+    # 환자 정보
+    msg += f"환자: {patient_name}\n"
+    msg += f"처방번호: {pre_serial}\n"
+    msg += f"출력: {now}\n"
+    msg += f"{THIN}\n"
+    
+    # 상호작용 요약
+    interaction_count = kims_summary.get('interaction_count', 0)
+    has_severe = kims_summary.get('has_severe', False)
+    
+    if has_severe:
+        msg += "[!!] 중증 상호작용 있음!\n"
+    elif interaction_count > 0:
+        msg += f"[!] 약물 상호작용: {interaction_count}건\n"
+    else:
+        msg += "[V] 상호작용 없음\n"
+    msg += "\n"
+    
+    # 처방 해석
+    insight = analysis.get('prescription_insight', '')
+    if insight:
+        msg += f"{THIN}\n"
+        msg += ">> 처방 해석\n"
+        for line in wrap_text(insight, 44):
+            msg += f"  {line}\n"
+        msg += "\n"
+    
+    # 복용 주의사항
+    cautions = analysis.get('cautions', [])
+    if cautions:
+        msg += f"{THIN}\n"
+        msg += ">> 복용 주의사항\n"
+        for i, caution in enumerate(cautions[:4], 1):
+            # 첫 줄
+            first_line = True
+            for line in wrap_text(f"{i}. {caution}", 44):
+                if first_line:
+                    msg += f"  {line}\n"
+                    first_line = False
+                else:
+                    msg += f"     {line}\n"
+        msg += "\n"
+    
+    # 상담 포인트
+    counseling = analysis.get('counseling_points', [])
+    if counseling:
+        msg += f"{THIN}\n"
+        msg += ">> 상담 포인트\n"
+        for i, point in enumerate(counseling[:3], 1):
+            first_line = True
+            for line in wrap_text(f"{i}. {point}", 44):
+                if first_line:
+                    msg += f"  {line}\n"
+                    first_line = False
+                else:
+                    msg += f"     {line}\n"
+        msg += "\n"
+    
+    # OTC 추천
+    otc_recs = analysis.get('otc_recommendations', [])
+    if otc_recs:
+        msg += f"{THIN}\n"
+        msg += ">> OTC 추천\n"
+        for rec in otc_recs[:2]:
+            product = rec.get('product', '')
+            reason = rec.get('reason', '')
+            msg += f"  - {product}\n"
+            for line in wrap_text(reason, 42):
+                msg += f"    {line}\n"
+        msg += "\n"
+    
+    # 푸터
+    msg += f"{LINE}\n"
+    msg += center_text("양구청춘약국 PAAI") + "\n"
+    msg += center_text("Tel: 033-481-5222") + "\n"
+    msg += "\n"
+    
+    return msg
+
+
+def print_paai_receipt(data: dict) -> bool:
+    """PAAI 영수증 인쇄"""
+    try:
+        pre_serial = data.get('pre_serial', '')
+        patient_name = data.get('patient_name', '')
+        analysis = data.get('analysis', {})
+        kims_summary = data.get('kims_summary', {})
+        
+        # 텍스트 생성
+        message = format_paai_receipt(pre_serial, patient_name, analysis, kims_summary)
+        
+        # EUC-KR 인코딩 (한글 지원)
+        text_bytes = message.encode('euc-kr', errors='replace')
+        
+        # 명령어 조합
+        command = INIT + text_bytes + b'\n\n\n' + CUT
+        
+        return print_raw(command)
+    except Exception as e:
+        print(f"인쇄 오류: {e}", file=sys.stderr)
+        return False
+
+
+def main():
+    if len(sys.argv) < 2:
+        print("사용법: python paai_printer_cli.py <json_file>", file=sys.stderr)
+        sys.exit(1)
+    
+    json_path = sys.argv[1]
+    
+    try:
+        with open(json_path, 'r', encoding='utf-8') as f:
+            data = json.load(f)
+        
+        if print_paai_receipt(data):
+            print("인쇄 완료")
+            sys.exit(0)
+        else:
+            sys.exit(1)
+    except Exception as e:
+        print(f"오류: {e}", file=sys.stderr)
+        sys.exit(1)
+
+
+if __name__ == '__main__':
+    main()

backend/pos_printer.py

@@ -0,0 +1,169 @@
+# pos_printer.py - ESC/POS 영수증 프린터 유틸리티
+# 0bin-label-app/src/pos_settings_dialog.py 기반
+
+import socket
+import logging
+from datetime import datetime
+
+# 프린터 설정 (config에서 불러올 수도 있음)
+POS_PRINTER_IP = "192.168.0.174"
+POS_PRINTER_PORT = 9100
+POS_PRINTER_NAME = "올댓포스 오른쪽"
+
+# ESC/POS 명령어
+ESC = b'\x1b'
+GS = b'\x1d'
+
+# 기본 명령
+INIT = ESC + b'@'           # 프린터 초기화
+CUT = ESC + b'd\x03'        # 피드 + 커트 (원본 방식)
+FEED = b'\n\n\n'            # 줄바꿈
+
+# 정렬
+ALIGN_LEFT = ESC + b'a\x00'
+ALIGN_CENTER = ESC + b'a\x01'
+ALIGN_RIGHT = ESC + b'a\x02'
+
+# 폰트 스타일
+BOLD_ON = ESC + b'E\x01'
+BOLD_OFF = ESC + b'E\x00'
+DOUBLE_HEIGHT = ESC + b'!\x10'
+DOUBLE_WIDTH = ESC + b'!\x20'
+DOUBLE_SIZE = ESC + b'!\x30'  # 가로세로 2배
+NORMAL_SIZE = ESC + b'!\x00'
+
+# 로깅
+logging.basicConfig(level=logging.INFO)
+
+
+def print_raw(data: bytes, ip: str = None, port: int = None) -> bool:
+    """
+    ESC/POS 바이트 데이터를 프린터로 전송
+    
+    Args:
+        data: ESC/POS 명령어 + 텍스트 바이트
+        ip: 프린터 IP (기본값: POS_PRINTER_IP)
+        port: 프린터 포트 (기본값: POS_PRINTER_PORT)
+    
+    Returns:
+        bool: 성공 여부
+    """
+    ip = ip or POS_PRINTER_IP
+    port = port or POS_PRINTER_PORT
+    
+    try:
+        sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
+        sock.settimeout(5)
+        sock.connect((ip, port))
+        sock.sendall(data)
+        sock.close()
+        logging.info(f"[POS Printer] 전송 성공: {ip}:{port}")
+        return True
+    except socket.timeout:
+        logging.error(f"[POS Printer] 연결 시간 초과: {ip}:{port}")
+        return False
+    except ConnectionRefusedError:
+        logging.error(f"[POS Printer] 연결 거부됨: {ip}:{port}")
+        return False
+    except Exception as e:
+        logging.error(f"[POS Printer] 전송 실패: {e}")
+        return False
+
+
+def print_text(text: str, cut: bool = True) -> bool:
+    """
+    텍스트를 영수증 프린터로 출력
+    
+    Args:
+        text: 출력할 텍스트 (한글 지원)
+        cut: 출력 후 용지 커트 여부
+    
+    Returns:
+        bool: 성공 여부
+    """
+    try:
+        # EUC-KR 인코딩 (한글 지원)
+        text_bytes = text.encode('euc-kr', errors='replace')
+        
+        # 명령어 조합
+        command = INIT + text_bytes + b'\n\n\n'
+        if cut:
+            command += CUT
+        
+        return print_raw(command)
+    except Exception as e:
+        logging.error(f"[POS Printer] 텍스트 인쇄 실패: {e}")
+        return False
+
+
+def print_cusetc(customer_name: str, cusetc: str, phone: str = None) -> bool:
+    """
+    특이(참고)사항 영수증 출력 (단순 텍스트 방식)
+    
+    Args:
+        customer_name: 고객 이름
+        cusetc: 특이사항 내용
+        phone: 전화번호 (선택)
+    
+    Returns:
+        bool: 성공 여부
+    """
+    now = datetime.now().strftime('%Y-%m-%d %H:%M')
+    
+    # 전화번호 포맷팅
+    phone_display = ""
+    if phone:
+        phone_clean = phone.replace("-", "").replace(" ", "")
+        if len(phone_clean) == 11:
+            phone_display = f"{phone_clean[:3]}-{phone_clean[3:7]}-{phone_clean[7:]}"
+        else:
+            phone_display = phone
+    
+    # 80mm 프린터 = 48자 기준
+    LINE = "=" * 48
+    THIN = "-" * 48
+    
+    message = f"""
+{LINE}
+            [ 특이사항 ]
+{LINE}
+고객: {customer_name}
+"""
+    if phone_display:
+        message += f"연락처: {phone_display}\n"
+    
+    message += f"""출력: {now}
+{THIN}
+{cusetc}
+{LINE}
+                 청춘약국
+"""
+    
+    return print_text(message, cut=True)
+
+
+def test_print() -> bool:
+    """테스트 인쇄"""
+    now = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
+    
+    test_message = f"""
+================================
+    POS 프린터 테스트
+================================
+
+IP: {POS_PRINTER_IP}
+Port: {POS_PRINTER_PORT}
+Time: {now}
+
+청춘약국 마일리지 시스템
+ESC/POS 정상 작동!
+================================
+"""
+    return print_text(test_message, cut=True)
+
+
+if __name__ == "__main__":
+    # 테스트
+    print("POS 프린터 테스트 인쇄...")
+    result = test_print()
+    print(f"결과: {'성공' if result else '실패'}")

backend/qr_printer.py

@@ -0,0 +1,262 @@
+# qr_printer.py - Brother QL-710W QR 라벨 인쇄
+# person-lookup-web-local/print_label.py에서 핵심 기능만 추출
+
+from PIL import Image, ImageDraw, ImageFont
+import io
+import logging
+import qrcode
+
+# 프린터 설정
+PRINTER_IP = "192.168.0.121"
+PRINTER_MODEL = "QL-710W"
+LABEL_TYPE = "29"  # 29mm 연속 출력 용지
+
+# Windows 폰트 경로
+FONT_PATH = "C:/Windows/Fonts/malgunbd.ttf"
+
+logging.basicConfig(level=logging.INFO)
+
+
+def create_drug_qr_label(drug_name, barcode, sale_price, drug_code=None, pharmacy_name='청춘약국'):
+    """
+    약품 QR 라벨 이미지 생성
+
+    Parameters:
+        drug_name (str): 약품명
+        barcode (str): 바코드 (QR 코드로 변환)
+        sale_price (float): 판매가격
+        drug_code (str, optional): 약품 코드 (바코드가 없을 때 대체)
+        pharmacy_name (str, optional): 약국 이름
+
+    Returns:
+        PIL.Image: 생성된 라벨 이미지
+    """
+    label_width = 306
+    label_height = 380
+    image = Image.new("1", (label_width, label_height), "white")
+    draw = ImageDraw.Draw(image)
+
+    # 폰트 설정
+    try:
+        drug_name_font = ImageFont.truetype(FONT_PATH, 32)
+        price_font = ImageFont.truetype(FONT_PATH, 36)
+        label_font = ImageFont.truetype(FONT_PATH, 24)
+    except IOError:
+        drug_name_font = ImageFont.load_default()
+        price_font = ImageFont.load_default()
+        label_font = ImageFont.load_default()
+        logging.warning("폰트 로드 실패. 기본 폰트 사용.")
+
+    # 바코드가 없으면 약품 코드 사용
+    qr_data = barcode if barcode else (drug_code if drug_code else "NO_BARCODE")
+
+    # QR 코드 생성
+    qr = qrcode.QRCode(
+        version=1,
+        error_correction=qrcode.constants.ERROR_CORRECT_L,
+        box_size=4,
+        border=1,
+    )
+    qr.add_data(qr_data)
+    qr.make(fit=True)
+    qr_img = qr.make_image(fill_color="black", back_color="white")
+
+    # QR 코드 크기 조정 및 배치
+    qr_size = 130
+    qr_img = qr_img.resize((qr_size, qr_size), Image.LANCZOS)
+    qr_x = (label_width - qr_size) // 2
+    qr_y = 15
+
+    if qr_img.mode != '1':
+        qr_img = qr_img.convert('1')
+    image.paste(qr_img, (qr_x, qr_y))
+
+    # 약품명 (QR 코드 아래)
+    y_position = qr_y + qr_size + 10
+
+    def draw_wrapped_text(draw, text, y, font, max_width):
+        """텍스트를 여러 줄로 표시"""
+        chars = list(text)
+        lines = []
+        current_line = ""
+
+        for char in chars:
+            test_line = current_line + char
+            bbox = draw.textbbox((0, 0), test_line, font=font)
+            w = bbox[2] - bbox[0]
+
+            if w <= max_width:
+                current_line = test_line
+            else:
+                if current_line:
+                    lines.append(current_line)
+                current_line = char
+
+        if current_line:
+            lines.append(current_line)
+
+        lines = lines[:2]  # 최대 2줄
+
+        for line in lines:
+            bbox = draw.textbbox((0, 0), line, font=font)
+            w, h = bbox[2] - bbox[0], bbox[3] - bbox[1]
+            draw.text(((label_width - w) / 2, y), line, font=font, fill="black")
+            y += h + 5
+
+        return y
+
+    y_position = draw_wrapped_text(draw, drug_name, y_position, drug_name_font, label_width - 40)
+    y_position += 8
+
+    # 가격
+    if sale_price and sale_price > 0:
+        price_text = f"₩{int(sale_price):,}"
+    else:
+        price_text = "가격 미정"
+
+    bbox = draw.textbbox((0, 0), price_text, font=price_font)
+    w, h = bbox[2] - bbox[0], bbox[3] - bbox[1]
+    draw.text(((label_width - w) / 2, y_position), price_text, font=price_font, fill="black")
+    y_position += h + 15
+
+    # 구분선
+    line_margin = 30
+    draw.line([(line_margin, y_position), (label_width - line_margin, y_position)], fill="black", width=2)
+    y_position += 20
+
+    # 약국 이름
+    signature_text = " ".join(pharmacy_name)
+    bbox = draw.textbbox((0, 0), signature_text, font=label_font)
+    w_sig, h_sig = bbox[2] - bbox[0], bbox[3] - bbox[1]
+
+    padding = 10
+    box_x = (label_width - w_sig) / 2 - padding
+    box_y = y_position
+    box_x2 = box_x + w_sig + 2 * padding
+    box_y2 = box_y + h_sig + 2 * padding
+    draw.rectangle([(box_x, box_y), (box_x2, box_y2)], outline="black", width=2)
+    draw.text(((label_width - w_sig) / 2, box_y + padding), signature_text, font=label_font, fill="black")
+
+    # 절취선 테두리
+    draw_scissor_border(draw, label_width, label_height)
+
+    return image
+
+
+def draw_scissor_border(draw, width, height, edge_size=10, steps=20):
+    """절취선 테두리"""
+    # 상단
+    top_points = []
+    step_x = width / (steps * 2)
+    for i in range(steps * 2 + 1):
+        x = i * step_x
+        y = 0 if i % 2 == 0 else edge_size
+        top_points.append((int(x), int(y)))
+    draw.line(top_points, fill="black", width=2)
+
+    # 하단
+    bottom_points = []
+    for i in range(steps * 2 + 1):
+        x = i * step_x
+        y = height if i % 2 == 0 else height - edge_size
+        bottom_points.append((int(x), int(y)))
+    draw.line(bottom_points, fill="black", width=2)
+
+    # 좌측
+    left_points = []
+    step_y = height / (steps * 2)
+    for i in range(steps * 2 + 1):
+        y = i * step_y
+        x = 0 if i % 2 == 0 else edge_size
+        left_points.append((int(x), int(y)))
+    draw.line(left_points, fill="black", width=2)
+
+    # 우측
+    right_points = []
+    for i in range(steps * 2 + 1):
+        y = i * step_y
+        x = width if i % 2 == 0 else width - edge_size
+        right_points.append((int(x), int(y)))
+    draw.line(right_points, fill="black", width=2)
+
+
+def print_drug_qr_label(drug_name, barcode, sale_price, drug_code=None, pharmacy_name='청춘약국'):
+    """
+    약품 QR 라벨 인쇄 실행
+
+    Parameters:
+        drug_name (str): 약품명
+        barcode (str): 바코드
+        sale_price (float): 판매가격
+        drug_code (str, optional): 약품 코드
+        pharmacy_name (str, optional): 약국 이름
+
+    Returns:
+        dict: 성공/실패 결과
+    """
+    try:
+        from brother_ql.raster import BrotherQLRaster
+        from brother_ql.conversion import convert
+        from brother_ql.backends.helpers import send
+
+        label_image = create_drug_qr_label(drug_name, barcode, sale_price, drug_code, pharmacy_name)
+
+        # 이미지를 메모리 스트림으로 변환
+        image_stream = io.BytesIO()
+        label_image.save(image_stream, format="PNG")
+        image_stream.seek(0)
+
+        # Brother QL 프린터로 전송
+        qlr = BrotherQLRaster(PRINTER_MODEL)
+        instructions = convert(
+            qlr=qlr,
+            images=[Image.open(image_stream)],
+            label=LABEL_TYPE,
+            rotate="0",
+            threshold=70.0,
+            dither=False,
+            compress=False,
+            lq=True,
+            red=False
+        )
+        send(instructions, printer_identifier=f"tcp://{PRINTER_IP}:9100")
+
+        logging.info(f"QR 라벨 인쇄 성공: {drug_name}, 바코드={barcode}")
+        return {"success": True, "message": f"{drug_name} QR 라벨 인쇄 완료"}
+
+    except ImportError as e:
+        logging.error(f"brother_ql 라이브러리 없음: {e}")
+        return {"success": False, "error": "brother_ql 라이브러리가 설치되지 않았습니다"}
+    except Exception as e:
+        logging.error(f"QR 라벨 인쇄 실패: {e}")
+        return {"success": False, "error": str(e)}
+
+
+def preview_qr_label(drug_name, barcode, sale_price, drug_code=None, pharmacy_name='청춘약국'):
+    """
+    QR 라벨 미리보기 (base64 이미지 반환)
+    """
+    import base64
+    
+    label_image = create_drug_qr_label(drug_name, barcode, sale_price, drug_code, pharmacy_name)
+    
+    # PNG로 변환
+    image_stream = io.BytesIO()
+    # 1-bit 이미지를 RGB로 변환하여 더 깔끔하게
+    rgb_image = label_image.convert('RGB')
+    rgb_image.save(image_stream, format="PNG")
+    image_stream.seek(0)
+    
+    base64_image = base64.b64encode(image_stream.read()).decode('utf-8')
+    return f"data:image/png;base64,{base64_image}"
+
+
+if __name__ == "__main__":
+    # 테스트
+    result = print_drug_qr_label(
+        drug_name="벤포파워Z",
+        barcode="8806418067510",
+        sale_price=3000,
+        pharmacy_name="청춘약국"
+    )
+    print(result)

backend/scripts/batch_apc_matching.py

@@ -0,0 +1,305 @@
+# -*- coding: utf-8 -*-
+"""
+동물약 일괄 APC 매칭 (개선판)
+- 띄어쓰기 무시 매칭
+- 체중 범위로 정밀 매칭
+- dry-run 모드 (검증용)
+"""
+import sys, io, re
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
+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
+from datetime import datetime
+
+DRY_RUN = True  # True: 검증만, False: 실제 INSERT
+
+# ── 유틸 함수 ──
+
+def normalize(name):
+    """띄어쓰기/특수문자 제거하여 비교용 문자열 생성"""
+    # 공백, 하이픈, 점 제거
+    return re.sub(r'[\s\-\.]+', '', name).lower()
+
+def extract_base_name(mssql_name):
+    """MSSQL 제품명에서 검색용 기본명 추출 (여러 후보 반환)
+    예: '다이로하트정M(12~22kg)' → ['다이로하트정', '다이로하트']
+        '하트캅츄어블(11kg이하)' → ['하트캅츄어블', '하트캅']
+        '클라펫정50(100정)' → ['클라펫정50', '클라펫정', '클라펫']
+    """
+    name = mssql_name.replace('(판)', '')
+    # 사이즈 라벨(XS/SS/S/M/L/XL/mini) + 괄호 이전까지
+    m = re.match(r'^(.+?)(XS|SS|XL|xs|mini|S|M|L)?\s*[\(/]', name)
+    if m:
+        base = m.group(1)
+    else:
+        base = re.sub(r'[\(/].*', '', name)
+    base = base.strip()
+
+    candidates = [base]
+    # 끝의 숫자 제거: 클라펫정50 → 클라펫정
+    no_num = re.sub(r'\d+$', '', base)
+    if no_num and no_num != base:
+        candidates.append(no_num)
+    # 제형 접미사 제거: 다이로하트정 → 다이로하트, 하트캅츄어블 → 하트캅
+    for suffix in ['츄어블', '정', '액', '캡슐', '산', '시럽']:
+        for c in list(candidates):
+            stripped = re.sub(suffix + r'$', '', c)
+            if stripped and stripped != c and stripped not in candidates:
+                candidates.append(stripped)
+    return candidates
+
+def extract_weight_range(mssql_name):
+    """MSSQL 제품명에서 체중 범위 추출
+    '가드닐L(20~40kg)' → (20, 40)
+    '셀라이트액SS(2.5kg이하)' → (0, 2.5)
+    '파라캅L(5kg이상)' → (5, 999)
+    '하트웜솔루션츄어블S(11kg이하)' → (0, 11)
+    '다이로하트정S(5.6~11kg)' → (5.6, 11)
+    """
+    # 범위: (5.6~11kg), (2~10kg)
+    m = re.search(r'\((\d+\.?\d*)[-~](\d+\.?\d*)\s*kg\)', mssql_name)
+    if m:
+        return float(m.group(1)), float(m.group(2))
+
+    # 이하: (2.5kg이하), (11kg이하)
+    m = re.search(r'\((\d+\.?\d*)\s*kg\s*이하\)', mssql_name)
+    if m:
+        return 0, float(m.group(1))
+
+    # 이상: (5kg이상)
+    m = re.search(r'\((\d+\.?\d*)\s*kg\s*이상\)', mssql_name)
+    if m:
+        return float(m.group(1)), 999
+
+    return None, None
+
+def weight_match(mssql_min, mssql_max, pg_min, pg_max):
+    """체중 범위가 일치하는지 확인 (약간의 오차 허용)"""
+    if pg_min is None or pg_max is None:
+        return False
+    # 이상(999)인 경우 pg_max도 큰 값이면 OK
+    if mssql_max == 999 and pg_max >= 50:
+        return abs(mssql_min - pg_min) <= 1
+    return abs(mssql_min - pg_min) <= 1 and abs(mssql_max - pg_max) <= 1
+
+
+# ── 1. MSSQL 동물약 (APC 없는 것만) ──
+
+session = get_db_session('PM_DRUG')
+result = session.execute(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%'
+        ) AS APC_CODE
+    FROM CD_GOODS G
+    WHERE G.POS_BOON = '010103'
+      AND G.GoodsSelCode = 'B'
+    ORDER BY G.GoodsName
+"""))
+
+no_apc = []
+for row in result:
+    if not row.APC_CODE:
+        no_apc.append({
+            'code': row.DrugCode,
+            'name': row.GoodsName,
+            'price': row.Saleprice
+        })
+
+session.close()
+
+print(f'=== APC 없는 동물약: {len(no_apc)}개 ===')
+print(f'=== 모드: {"DRY-RUN (검증만)" if DRY_RUN else "실제 INSERT"} ===\n')
+
+# ── 2. PostgreSQL에서 매칭 ──
+
+pg = create_engine('postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master').connect()
+
+matched = []      # 확정 매칭
+ambiguous = []    # 후보 여러 개 (수동 확인 필요)
+no_match = []     # 매칭 없음
+
+for drug in no_apc:
+    name = drug['name']
+    base_names = extract_base_name(name)
+    w_min, w_max = extract_weight_range(name)
+
+    # 여러 기본명 후보로 검색 (좁은 것부터 시도)
+    candidates = []
+    used_base = None
+    for bn in base_names:
+        norm_base = normalize(bn)
+        result = pg.execute(text("""
+            SELECT apc, product_name,
+                   weight_min_kg, weight_max_kg,
+                   dosage,
+                   llm_pharm->>'사용가능 동물' as target
+            FROM apc
+            WHERE REGEXP_REPLACE(LOWER(product_name), '[\\s\\-\\.]+', '', 'g') LIKE :pattern
+            ORDER BY product_name
+        """), {'pattern': f'%{norm_base}%'})
+        candidates = list(result)
+        if candidates:
+            used_base = bn
+            break
+    if not used_base:
+        used_base = base_names[0]
+
+    if not candidates:
+        no_match.append(drug)
+        print(f'❌ {name}')
+        print(f'   기본명: {base_names} → 매칭 없음')
+        continue
+
+    # ── 단계별 필터링 ──
+
+    # (A) 제형 필터: MSSQL 이름에 "정"이 있으면 PG에서도 "정" 포함 우선
+    filtered = candidates
+    for form in ['정', '액', '캡슐']:
+        if form in name.split('(')[0]:
+            form_match = [c for c in filtered if form in c.product_name]
+            if form_match:
+                filtered = form_match
+                break
+
+    # (B) 체중 범위로 정밀 매칭
+    if w_min is not None:
+        exact = [c for c in filtered
+                 if weight_match(w_min, w_max, c.weight_min_kg, c.weight_max_kg)]
+        if exact:
+            filtered = exact
+
+    # (C) 포장단위 여러 개면 최소 포장 선택 (낱개 판매 기준)
+    #     "/ 6 정", "/ 1 피펫" 등에서 숫자 추출
+    if len(filtered) > 1:
+        def extract_pack_qty(pname):
+            m = re.search(r'/\s*(\d+)\s*(정|피펫|개|포)', pname)
+            return int(m.group(1)) if m else 0
+        has_qty = [(c, extract_pack_qty(c.product_name)) for c in filtered]
+        # 포장수량이 있는 것들만 필터
+        with_qty = [(c, q) for c, q in has_qty if q > 0]
+        if with_qty:
+            min_qty = min(q for _, q in with_qty)
+            filtered = [c for c, q in with_qty if q == min_qty]
+
+    # (D) 그래도 여러 개면 대표 APC (product_name이 가장 짧은 것) 선택
+    if len(filtered) > 1:
+        # 포장수량 정보가 없는 대표 코드가 있으면 우선
+        no_qty = [c for c in filtered if '/' not in c.product_name]
+        if len(no_qty) == 1:
+            filtered = no_qty
+
+    # ── 결과 판정 ──
+    if len(filtered) == 1:
+        method = '체중매칭' if w_min is not None and filtered[0].weight_min_kg is not None else '유일후보'
+        matched.append({
+            'mssql': drug,
+            'apc': filtered[0],
+            'method': method
+        })
+        print(f'✅ {name}')
+        print(f'   → {filtered[0].apc}: {filtered[0].product_name}')
+        if w_min is not None and filtered[0].weight_min_kg is not None:
+            print(f'   체중: MSSQL({w_min}~{w_max}kg) = PG({filtered[0].weight_min_kg}~{filtered[0].weight_max_kg}kg)')
+        continue
+
+    # 후보가 0개 (필터가 너무 강했으면 원래 candidates로 복구)
+    if len(filtered) == 0:
+        filtered = candidates
+
+    # 수동 확인
+    ambiguous.append({
+        'mssql': drug,
+        'candidates': filtered,
+        'reason': f'후보 {len(filtered)}건'
+    })
+    print(f'⚠️ {name} - 후보 {len(filtered)}건 (수동 확인)')
+    for c in filtered[:5]:
+        wt = f'({c.weight_min_kg}~{c.weight_max_kg}kg)' if c.weight_min_kg else ''
+        print(f'   → {c.apc}: {c.product_name} {wt}')
+
+pg.close()
+
+# ── 3. 요약 ──
+
+print(f'\n{"="*50}')
+print(f'=== 매칭 요약 ===')
+print(f'APC 없는 제품: {len(no_apc)}개')
+print(f'✅ 확정 매칭: {len(matched)}개')
+print(f'⚠️ 수동 확인: {len(ambiguous)}개')
+print(f'❌ 매칭 없음: {len(no_match)}개')
+
+if matched:
+    print(f'\n{"="*50}')
+    print(f'=== 확정 매칭 목록 (INSERT 대상) ===')
+    for m in matched:
+        d = m['mssql']
+        a = m['apc']
+        print(f'  {d["name"]:40s} → {a.apc} [{m["method"]}]')
+
+# ── 4. INSERT (DRY_RUN=False일 때만) ──
+
+if matched and not DRY_RUN:
+    print(f'\n{"="*50}')
+    print(f'=== INSERT 실행 ===')
+    session = get_db_session('PM_DRUG')
+    today = datetime.now().strftime('%Y%m%d')
+
+    for m in matched:
+        drugcode = m['mssql']['code']
+        apc = m['apc'].apc
+
+        # 기존 가격 조회
+        existing = session.execute(text("""
+            SELECT TOP 1 CD_MY_UNIT, CD_IN_UNIT
+            FROM CD_ITEM_UNIT_MEMBER
+            WHERE DRUGCODE = :dc
+            ORDER BY SN DESC
+        """), {'dc': drugcode}).fetchone()
+
+        if not existing:
+            print(f'  ❌ {m["mssql"]["name"]}: 기존 레코드 없음')
+            continue
+
+        # 중복 확인
+        check = session.execute(text("""
+            SELECT 1 FROM CD_ITEM_UNIT_MEMBER
+            WHERE DRUGCODE = :dc AND CD_CD_BARCODE = :apc
+        """), {'dc': drugcode, 'apc': apc}).fetchone()
+
+        if check:
+            print(f'  ⏭️ {m["mssql"]["name"]}: 이미 등록됨')
+            continue
+
+        try:
+            session.execute(text("""
+                INSERT INTO CD_ITEM_UNIT_MEMBER (
+                    DRUGCODE, CD_CD_UNIT, CD_NM_UNIT, CD_MY_UNIT, CD_IN_UNIT,
+                    CD_CD_BARCODE, CD_CD_POS, CHANGE_DATE
+                ) VALUES (
+                    :drugcode, '015', 1.0, :my_unit, :in_unit,
+                    :barcode, '', :change_date
+                )
+            """), {
+                'drugcode': drugcode,
+                'my_unit': existing.CD_MY_UNIT,
+                'in_unit': existing.CD_IN_UNIT,
+                'barcode': apc,
+                'change_date': today
+            })
+            session.commit()
+            print(f'  ✅ {m["mssql"]["name"]} → {apc}')
+        except Exception as e:
+            session.rollback()
+            print(f'  ❌ {m["mssql"]["name"]}: {e}')
+
+    session.close()
+    print('\n완료!')

backend/scripts/batch_insert_apc.py

@@ -0,0 +1,84 @@
+# -*- coding: utf-8 -*-
+"""
+확실한 매칭만 일괄 등록
+"""
+import sys, io
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
+sys.path.insert(0, 'c:\\Users\\청춘약국\\source\\pharmacy-pos-qr-system\\backend')
+
+from db.dbsetup import get_db_session
+from sqlalchemy import text
+from datetime import datetime
+
+# 확실한 매칭 목록 (MSSQL 제품명, DrugCode, APC)
+MAPPINGS = [
+    # 파라캅
+    ('파라캅L(5kg이상)', 'LB000003159', '0230338510101'),  # 파라캅 L 정 10정
+    ('파라캅S(5kg이하)', 'LB000003160', '0230347110106'),  # 파라캅 에스 정 10정
+    # 세레니아
+    ('세레니아정16mg(개멀미약)', 'LB000003353', '0231884610109'),  # 세레니아 정 16mg / 4정
+    ('세레니아정24mg(개멀미약)', 'LB000003354', '0231884620107'),  # 세레니아 정 24mg / 4정
+    # ── 2차 매칭 (2026-03-08) ──
+    # 클라펫 (유일후보)
+    ('(판)클라펫정50(100정)', 'LB000003504', '0232065900005'),  # 클라펫 정
+    # 넥스가드 (체중매칭)
+    ('넥스가드L(15~30kg)', 'LB000003531', '0232155400009'),  # 넥스가드 스펙트라 츄어블 정 대형견용
+    ('넥스가드xs(2~3.5kg)', 'LB000003530', '0232169000004'),  # 넥스가드 츄어블 정 소형견용
+    # 하트웜 (체중매칭)
+    ('하트웜솔루션츄어블M(12~22kg)', 'LB000003155', '0230758520105'),  # 하트웜 솔루션 츄어블 0.136mg / 114mg / 6 정
+    ('하트웜솔루션츄어블S(11kg이하)', 'LB000003156', '0230758510107'),  # 하트웜 솔루션 츄어블 0.068mg / 57mg / 6 정
+]
+
+session = get_db_session('PM_DRUG')
+today = datetime.now().strftime('%Y%m%d')
+
+print('=== 일괄 APC 매핑 ===\n')
+
+for name, drugcode, apc in MAPPINGS:
+    # 기존 가격 조회
+    existing = session.execute(text("""
+        SELECT TOP 1 CD_MY_UNIT, CD_IN_UNIT 
+        FROM CD_ITEM_UNIT_MEMBER 
+        WHERE DRUGCODE = :dc
+        ORDER BY SN DESC
+    """), {'dc': drugcode}).fetchone()
+    
+    if not existing:
+        print(f'❌ {name}: 기존 레코드 없음')
+        continue
+    
+    # 이미 APC 있는지 확인
+    check = session.execute(text("""
+        SELECT 1 FROM CD_ITEM_UNIT_MEMBER 
+        WHERE DRUGCODE = :dc AND CD_CD_BARCODE = :apc
+    """), {'dc': drugcode, 'apc': apc}).fetchone()
+    
+    if check:
+        print(f'⏭️ {name}: 이미 등록됨')
+        continue
+    
+    # INSERT
+    try:
+        session.execute(text("""
+            INSERT INTO CD_ITEM_UNIT_MEMBER (
+                DRUGCODE, CD_CD_UNIT, CD_NM_UNIT, CD_MY_UNIT, CD_IN_UNIT,
+                CD_CD_BARCODE, CD_CD_POS, CHANGE_DATE
+            ) VALUES (
+                :drugcode, '015', 1.0, :my_unit, :in_unit,
+                :barcode, '', :change_date
+            )
+        """), {
+            'drugcode': drugcode,
+            'my_unit': existing.CD_MY_UNIT,
+            'in_unit': existing.CD_IN_UNIT,
+            'barcode': apc,
+            'change_date': today
+        })
+        session.commit()
+        print(f'✅ {name} → {apc}')
+    except Exception as e:
+        session.rollback()
+        print(f'❌ {name}: {e}')
+
+session.close()
+print('\n완료!')

backend/scripts/debug_gesidin_match.py

@@ -0,0 +1,34 @@
+# -*- coding: utf-8 -*-
+import sys, io
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
+
+# 테스트 AI 응답
+ai_response = "개시딘은 피부염 치료에 사용하는 겔 형태의 외용약입니다."
+
+drug_name = "(판)복합개시딘"
+
+# 현재 매칭 로직
+base_name = drug_name.split('(')[0].split('/')[0].strip()
+print(f'제품명: {drug_name}')
+print(f'괄호 앞: "{base_name}"')
+
+# suffix 제거
+for suffix in ['정', '액', 'L', 'M', 'S', 'XL', 'XS', 'SS', 'mini']:
+    if base_name.endswith(suffix):
+        base_name = base_name[:-len(suffix)]
+base_name = base_name.strip()
+print(f'suffix 제거 후: "{base_name}"')
+
+# 매칭 테스트
+ai_lower = ai_response.lower()
+ai_nospace = ai_lower.replace(' ', '')
+base_lower = base_name.lower()
+base_nospace = base_lower.replace(' ', '')
+
+print(f'\n매칭 테스트:')
+print(f'  "{base_lower}" in ai_response? {base_lower in ai_lower}')
+print(f'  "{base_nospace}" in ai_nospace? {base_nospace in ai_nospace}')
+
+# 문제: (판)이 먼저 잘려서 빈 문자열이 됨!
+print(f'\n문제: split("(")[0] = "{drug_name.split("(")[0]}"')
+print('→ "(판)"에서 "("로 시작하니까 빈 문자열!')

backend/scripts/debug_matching.py

@@ -0,0 +1,51 @@
+# -*- coding: utf-8 -*-
+import sys
+import io
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8', errors='replace')
+
+# 테스트 AI 응답 (실제 응답 시뮬레이션)
+ai_response = """
+네, 안텔민은 개와 고양이 모두 사용 가능합니다!
+
+**안텔민 킹** - 체중 5kg 이상 반려동물용
+**안텔민 뽀삐** - 체중 5kg 이하 소형 반려동물용
+
+두 제품 모두 개와 고양이의 내부 기생충 구제에 효과적입니다.
+"""
+
+animal_drugs = [
+    {'name': '안텔민킹(5kg이상)', 'code': 'LB000003157'},
+    {'name': '안텔민뽀삐(5kg이하)', 'code': 'LB000003158'},
+    {'name': '다이로하트정M(12~22kg)', 'code': 'LB000003151'},
+]
+
+print('=== 현재 매칭 로직 테스트 ===\n')
+print(f'AI 응답:\n{ai_response}\n')
+print('=' * 50)
+
+ai_response_lower = ai_response.lower()
+
+for drug in animal_drugs:
+    drug_name = drug['name']
+    base_name = drug_name.split('(')[0].split('/')[0].strip()
+    
+    # suffix 제거
+    original_base = base_name
+    for suffix in ['정', '액', 'L', 'M', 'S', 'XL', 'XS', 'SS', 'mini']:
+        if base_name.endswith(suffix):
+            base_name = base_name[:-len(suffix)]
+    base_name = base_name.strip()
+    
+    matched = base_name.lower() in ai_response_lower
+    
+    print(f'\n제품: {drug_name}')
+    print(f'  괄호 앞: {original_base}')
+    print(f'  suffix 제거 후: {base_name}')
+    print(f'  매칭 결과: {"✅ 매칭됨" if matched else "❌ 매칭 안됨"}')
+    
+    if not matched:
+        # 왜 안 됐는지 확인
+        print(f'  → "{base_name.lower()}" in 응답? {base_name.lower() in ai_response_lower}')
+        # 띄어쓰기 변형 체크
+        spaced = base_name.replace('킹', ' 킹').replace('뽀삐', ' 뽀삐')
+        print(f'  → 띄어쓰기 변형 "{spaced.lower()}" in 응답? {spaced.lower() in ai_response_lower}')

backend/scripts/debug_matching2.py

@@ -0,0 +1,48 @@
+# -*- coding: utf-8 -*-
+import sys
+import io
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8', errors='replace')
+
+# 실제 AI 응답
+ai_response = """안텔민은 개와 고양이 모두에게 사용할 수 있습니다만, 체중에 따라 복용할 용량이 다릅니다. 🐾 
+
+- **안텔민**: 5kg 이상 개와 고양이에게 복용 가능.
+- **안텔민 뽀삐**: 5kg 미만 소형 반려동물에게 복용 가능.
+
+따라서, 반려동물의 체중에 맞는 적절한 제품을 선택해야 해요! 🐶 체중을 알려주시면 더 구체적으로 안내해 드릴 수 있어요."""
+
+animal_drugs = [
+    {'name': '안텔민', 'code': 'S0000001', 'apc': None},
+    {'name': '안텔민킹(5kg이상)', 'code': 'LB000003157', 'apc': '0230237810109'},
+    {'name': '안텔민뽀삐(5kg이하)', 'code': 'LB000003158', 'apc': '0230237010107'},
+]
+
+print('=== 매칭 테스트 ===\n')
+print(f'AI 응답:\n{ai_response}\n')
+print('=' * 50)
+
+ai_response_lower = ai_response.lower()
+ai_response_nospace = ai_response_lower.replace(' ', '')
+
+for drug in animal_drugs:
+    drug_name = drug['name']
+    base_name = drug_name.split('(')[0].split('/')[0].strip()
+    
+    for suffix in ['정', '액', 'L', 'M', 'S', 'XL', 'XS', 'SS', 'mini']:
+        if base_name.endswith(suffix):
+            base_name = base_name[:-len(suffix)]
+    base_name = base_name.strip()
+    
+    base_lower = base_name.lower()
+    base_nospace = base_lower.replace(' ', '')
+    
+    in_normal = base_lower in ai_response_lower
+    in_nospace = base_nospace in ai_response_nospace
+    matched = len(base_name) >= 2 and (in_normal or in_nospace)
+    
+    print(f'\n제품: {drug_name}')
+    print(f'  base_name: "{base_name}"')
+    print(f'  base_nospace: "{base_nospace}"')
+    print(f'  일반매칭: {in_normal}')
+    print(f'  공백제거매칭: {in_nospace}')
+    print(f'  최종: {"✅" if matched else "❌"}')

backend/scripts/debug_prompt.py

@@ -0,0 +1,43 @@
+# -*- 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
+
+# _get_animal_drugs 로직 복제
+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()
+
+print('=== AI에 전달되는 보유 제품 목록 ===\n')
+for r in rows:
+    apc = r.APC_CODE
+    rag_info = ""
+    if apc:
+        rag_info = f" [대상: 개, 고양이]"  # RAG 정보 시뮬레이션
+    
+    print(f"- {r.GoodsName} ({r.Saleprice:,.0f}원){rag_info}")
+
+print('\n=== 안텔민 관련 제품만 ===')
+for r in rows:
+    if '안텔민' in r.GoodsName:
+        print(f"  {r.GoodsName} - APC: {r.APC_CODE}")

backend/scripts/debug_rag.py

@@ -0,0 +1,42 @@
+# -*- coding: utf-8 -*-
+import sys
+import io
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8', errors='replace')
+
+from sqlalchemy import create_engine, text
+
+pg = create_engine('postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master').connect()
+
+# 안텔민킹 RAG 정보
+apc = '0230237810109'
+print(f'=== 안텔민킹 ({apc}) RAG 정보 ===\n')
+
+result = pg.execute(text(f"""
+    SELECT 
+        product_name,
+        llm_pharm->>'사용가능 동물' as target_animals,
+        llm_pharm->>'분류' as category,
+        llm_pharm->>'체중/부위' as dosage_weight,
+        llm_pharm->>'월령금기' as age_restriction
+    FROM apc
+    WHERE apc = '{apc}'
+"""))
+
+row = result.fetchone()
+if row:
+    print(f'제품명: {row.product_name}')
+    print(f'사용가능 동물: {row.target_animals}')
+    print(f'분류: {row.category}')
+    print(f'체중/용량: {row.dosage_weight}')
+    print(f'월령금기: {row.age_restriction}')
+
+# efficacy_effect도 확인
+result2 = pg.execute(text(f"""
+    SELECT efficacy_effect FROM apc WHERE apc = '{apc}'
+"""))
+row2 = result2.fetchone()
+if row2 and row2.efficacy_effect:
+    print(f'\n효능/효과 (원문 일부):')
+    print(row2.efficacy_effect[:500])
+
+pg.close()

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)

backend/scripts/detailed_search.py

@@ -0,0 +1,45 @@
+# -*- coding: utf-8 -*-
+import sys, io
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
+from sqlalchemy import create_engine, text
+
+pg = create_engine('postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master').connect()
+
+# 약국 제품 → PostgreSQL 매칭 (체중/용량 포함)
+mappings = [
+    # (약국제품명, 검색키워드)
+    ('제스타제(10정)', '제스타제', '10'),
+    ('파라캅L(5kg이상)', '파라캅', 'L'),
+    ('파라캅S(5kg이하)', '파라캅', 'S'),
+    ('하트캅츄어블(11kg이하)', '하트캅', '11'),
+    ('넥스가드L(15~30kg)', '넥스가드', '15'),
+    ('넥스가드xs(2~3.5kg)', '넥스가드', '2'),
+    ('다이로하트정M(12~22kg)', '다이로하트', '12'),
+    ('다이로하트정S(5.6~11kg)', '다이로하트', '5.6'),
+    ('다이로하트정SS(5.6kg이하)', '다이로하트', 'SS'),
+    ('세레니아정16mg(개멀미약)', '세레니아', '16'),
+    ('세레니아정24mg(개멀미약)', '세레니아', '24'),
+    ('하트세이버츄어블M(12~22kg)', '하트세이버', '12'),
+    ('하트세이버츄어블S(5.6~11kg)', '하트세이버', '5.6'),
+    ('하트웜솔루션츄어블M(12~22kg)', '하트웜', '12'),
+    ('하트웜솔루션츄어블S(11kg이하)', '하트웜', '11'),
+]
+
+print('=== 상세 매칭 검색 ===\n')
+
+for pharm_name, keyword, size in mappings:
+    result = pg.execute(text("""
+        SELECT apc, product_name, packaging,
+               llm_pharm->>'사용가능 동물' as target
+        FROM apc 
+        WHERE product_name ILIKE :kw
+        ORDER BY product_name
+        LIMIT 10
+    """), {'kw': f'%{keyword}%'})
+    
+    print(f'\n📦 {pharm_name} (검색: {keyword}, 사이즈: {size})')
+    for r in result:
+        mark = '⭐' if size.lower() in r.product_name.lower() else '  '
+        print(f'{mark} {r.apc}: {r.product_name[:50]}')
+
+pg.close()

backend/scripts/fill_weight_from_dosage.py

@@ -0,0 +1,545 @@
+# -*- coding: utf-8 -*-
+"""
+APDB weight_min_kg / weight_max_kg 일괄 채우기
+- dosage_instructions에서 (사이즈라벨, 체중구간) 쌍을 파싱
+- APC 레코드의 product_name에 포함된 사이즈 라벨로 매칭
+
+매칭 전략:
+  1. 제품명에 사이즈 라벨(소형견, 중형견 등)이 있으면 → 해당 체중구간 적용
+  2. 체중 구간이 1개뿐이면 → 전체 APC에 적용
+  3. 다중 구간인데 제품명에 라벨 없으면 → SKIP (안전)
+
+예외 처리:
+  - 사료/축산 관련(톤당 kg) → SKIP
+  - 축산용(max > 60kg) → SKIP
+  - 체중 구간 파싱 불가 → SKIP
+
+실행: python scripts/fill_weight_from_dosage.py [--commit] [--verbose]
+  기본: dry-run (DB 변경 없음)
+  --commit:  실제 DB 업데이트 수행
+  --verbose: 상세 로그
+"""
+import sys
+import io
+import re
+import argparse
+
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
+sys.path.insert(0, 'c:\\Users\\청춘약국\\source\\pharmacy-pos-qr-system\\backend')
+
+from sqlalchemy import text, create_engine
+
+
+# ─────────────────────────────────────────────
+# 1. 사이즈 라벨 정의
+# ─────────────────────────────────────────────
+
+SIZE_LABELS = {
+    '초소형견': 'XS', '초소형': 'XS',
+    '소형견': 'S', '소형': 'S',
+    '중형견': 'M', '중형': 'M',
+    '대형견': 'L', '대형': 'L',
+    '초대형견': 'XL', '초대형': 'XL',
+}
+
+# 제품명에서 사이즈 감지용 (긴 것부터 먼저 매칭)
+PRODUCT_NAME_SIZE_PATTERNS = [
+    (r'초소형견', 'XS'),
+    (r'초소형', 'XS'),
+    (r'소형견', 'S'),
+    (r'소형', 'S'),
+    (r'중형견', 'M'),
+    (r'중형', 'M'),
+    (r'초대형견', 'XL'),
+    (r'초대형', 'XL'),
+    (r'대형견', 'L'),
+    (r'대형', 'L'),
+    # 영문/약어
+    (r'\bSS\b', 'XS'),
+    (r'\bXS\b', 'XS'),
+    (r'[-\s]S\b', 'S'),
+    (r'\bS\(', 'S'),
+    (r'[-\s]M\b', 'M'),
+    (r'\bM\(', 'M'),
+    (r'[-\s]L\b', 'L'),
+    (r'\bL\(', 'L'),
+    (r'\bXL\b', 'XL'),
+]
+
+
+# ─────────────────────────────────────────────
+# 2. 체중 구간 파싱
+# ─────────────────────────────────────────────
+
+def strip_html(html_text):
+    """HTML 태그 제거, 줄 단위 텍스트 반환"""
+    if not html_text:
+        return ""
+    t = html_text.replace('<p class="indent0">', '\n').replace('</p>', '')
+    t = re.sub(r'<[^>]+>', '', t)
+    return t
+
+
+def is_livestock_context(text_content):
+    """축산/사료 관련인지 판단"""
+    # 톤당 kg은 사료 관련
+    if '톤당' in text_content and 'kg' in text_content:
+        # 체중 구간이 별도로 있는 경우는 반려동물일 수 있음
+        if '체중' not in text_content and '형견' not in text_content:
+            return True
+    return False
+
+
+def parse_weight_ranges(dosage_instructions):
+    """
+    dosage_instructions에서 (사이즈라벨, 체중min, 체중max) 리스트를 추출.
+    체중 구간만 추출하며, 성분 용량은 무시.
+
+    Returns:
+        list of dict: [{'min': 0, 'max': 11, 'size': 'S', 'label': '소형견'}, ...]
+    """
+    if not dosage_instructions:
+        return []
+
+    txt = strip_html(dosage_instructions)
+
+    # 축산/사료 관련 제외
+    if is_livestock_context(txt):
+        return []
+
+    ranges = []
+    seen = set()  # (size, min, max) 중복 방지
+
+    # ── 전처리: 줄 분리된 사이즈+체중 합치기 ──
+    # HTML 변환 후 빈 줄이 끼어있을 수 있음:
+    # "소형견  1chewable  68㎍  57mg\n\n(체중0-11kg)"
+    # → "소형견  1chewable  68㎍  57mg (체중0-11kg)"
+    lines = txt.split('\n')
+    # 빈 줄 제거한 리스트 (인덱스 보존)
+    non_empty = [(i, line.strip()) for i, line in enumerate(lines) if line.strip()]
+
+    merged_set = set()  # 합쳐진 줄 인덱스 (원본 기준)
+    merged_lines = []
+
+    for idx, (orig_i, stripped) in enumerate(non_empty):
+        if orig_i in merged_set:
+            continue
+        # 현재 줄에 사이즈 라벨이 있고, 다음 비어있지 않은 줄이 (체중...) 패턴이면 합치기
+        if idx + 1 < len(non_empty):
+            next_orig_i, next_stripped = non_empty[idx + 1]
+            if (re.match(r'\(체중', next_stripped)
+                    and re.search(r'(초소형|소형|중형|대형|초대형)견?', stripped)):
+                merged_lines.append(stripped + ' ' + next_stripped)
+                merged_set.add(next_orig_i)
+                continue
+        merged_lines.append(stripped)
+
+    txt = '\n'.join(merged_lines)
+
+    def add_range(size, wmin, wmax, label):
+        """중복 방지하며 범위 추가"""
+        if wmax > 60:  # 반려동물 체중 범위 초과 → 축산용
+            return
+        if wmax <= wmin:
+            return
+        key = (size, wmin, wmax)
+        if key not in seen:
+            seen.add(key)
+            ranges.append({'min': wmin, 'max': wmax, 'size': size, 'label': label})
+
+    def get_size(label_text):
+        """라벨 텍스트 → 사이즈 코드"""
+        return SIZE_LABELS.get(label_text + '견', SIZE_LABELS.get(label_text))
+
+    # ── 패턴1: "X형견(체중A-Bkg)" / "X형견 ... (체중A-Bkg)" ──
+    # 예: "소형견(체중0-11kg)", "중형견(체중12-22kg)"
+    # 예(줄 합침): "소형견  1chewable 68㎍ 57mg (체중0-11kg)"
+    for m in re.finditer(
+        r'(초소형|소형|중형|대형|초대형)견?\s*(?:용\s*)?\(?(?:체중\s*)?'
+        r'(\d+\.?\d*)\s*[-~～]\s*(\d+\.?\d*)\s*kg',
+        txt
+    ):
+        label = m.group(1)
+        add_range(get_size(label), float(m.group(2)), float(m.group(3)), label + '견')
+
+    # ── 패턴1b: 같은 줄에 라벨과 (체중...)이 먼 경우 ──
+    # 예: "소형견       1chewable   68㎍      57mg    1개월 (체중0-11kg)"
+    for m in re.finditer(
+        r'(초소형|소형|중형|대형|초대형)견?\b[^\n]*?\(체중\s*'
+        r'(\d+\.?\d*)\s*[-~～]\s*(\d+\.?\d*)\s*kg\)',
+        txt
+    ):
+        label = m.group(1)
+        add_range(get_size(label), float(m.group(2)), float(m.group(3)), label + '견')
+
+    # ── 패턴2: "체중A~Bkg X형견용" ──
+    # 예: "체중12～22kg 중형견용(M)"
+    for m in re.finditer(
+        r'(?:체중\s*)?(\d+\.?\d*)\s*[-~～]\s*(\d+\.?\d*)\s*kg\s*(?:의\s*)?'
+        r'(초소형|소형|중형|대형|초대형)견?',
+        txt
+    ):
+        label = m.group(3)
+        add_range(get_size(label), float(m.group(1)), float(m.group(2)), label + '견')
+
+    # ── 패턴3: "Akg이하 X형견" / "~Akg X형견" ──
+    # 예: "11kg이하 소형견용"
+    for m in re.finditer(
+        r'(?:체중\s*)?[~～]?\s*(\d+\.?\d*)\s*kg\s*(?:이하|까지)?\s*(?:의\s*)?'
+        r'(초소형|소형|중형|대형|초대형)견?',
+        txt
+    ):
+        label = m.group(2)
+        add_range(get_size(label), 0, float(m.group(1)), label + '견')
+
+    # ── 패턴4: "(Akg~Bkg의 X형견에게)" ──
+    # 예: "(5.7kg ~11kg의 소형견에게 본제 1정 투여)"
+    for m in re.finditer(
+        r'\(\s*(\d+\.?\d*)\s*kg?\s*[-~～]\s*(\d+\.?\d*)\s*kg\s*(?:의\s*)?'
+        r'(초소형|소형|중형|대형|초대형)견',
+        txt
+    ):
+        label = m.group(3)
+        add_range(get_size(label), float(m.group(1)), float(m.group(2)), label + '견')
+
+    # ── 패턴4b: "(Akg.Bkg의 X형견에게)" - 마침표 구분자 ──
+    # 예: "(12kg.22kg의 중형견에게)"
+    for m in re.finditer(
+        r'\(\s*(\d+\.?\d*)\s*kg\s*\.\s*(\d+\.?\d*)\s*kg\s*(?:의\s*)?'
+        r'(초소형|소형|중형|대형|초대형)견',
+        txt
+    ):
+        label = m.group(3)
+        add_range(get_size(label), float(m.group(1)), float(m.group(2)), label + '견')
+
+    # ── 패턴5: "Akg이하의 X형견에게" ──
+    # 예: "(5.6kg이하의 초소형견에게)"
+    for m in re.finditer(
+        r'(\d+\.?\d*)\s*kg\s*이하\s*(?:의\s*)?(초소형|소형|중형|대형|초대형)견',
+        txt
+    ):
+        label = m.group(2)
+        add_range(get_size(label), 0, float(m.group(1)), label + '견')
+
+    # ── 패턴6: 테이블 "A~B | 제품명 X형견용" ──
+    # 예: "2~3.5  넥스가드 스펙트라 츄어블 초소형견용  1"
+    # 예: "2-5   | 프론트라인 트리액트 초소형견용 | 0.5ml"
+    for m in re.finditer(
+        r'(\d+\.?\d*)\s*[-~～]\s*(\d+\.?\d*)\s*[\s|]*[^\n]*?'
+        r'(초소형|소형|중형|대형|초대형)견?용?',
+        txt
+    ):
+        label = m.group(3)
+        wmin, wmax = float(m.group(1)), float(m.group(2))
+        if wmax <= 60:
+            add_range(get_size(label), wmin, wmax, label + '견')
+
+    # ── 패턴7: "체중 Akg 미만 X형견용" ──
+    # 예: "체중 15kg 미만 소, 중형견용"
+    for m in re.finditer(
+        r'체중\s*(\d+\.?\d*)\s*kg\s*미만\s*[^\n]*?'
+        r'(초소형|소형|중형|대형|초대형)견',
+        txt
+    ):
+        label = m.group(2)
+        add_range(get_size(label), 0, float(m.group(1)), label + '견')
+
+    # ── 패턴8: 라벨 없이 체중 구간만 (반려동물 키워드 있을 때) ──
+    if not ranges and ('개' in txt or '고양이' in txt or '반려' in txt or '애완' in txt):
+        # 8a: "Xkg 초과-Ykg 이하" / "Xkg 초과 ~ Ykg" (먼저 처리)
+        for m in re.finditer(
+            r'(\d+\.?\d*)\s*kg\s*초과\s*[-~～]?\s*(\d+\.?\d*)\s*kg(?:\s*(?:이하|까지))?',
+            txt
+        ):
+            wmin, wmax = float(m.group(1)), float(m.group(2))
+            if wmax <= 60 and wmax > wmin:
+                add_range(None, wmin, wmax, None)
+
+        # 8b: "X-Ykg" / "X~Ykg" 일반 범위
+        for m in re.finditer(
+            r'(?:체중\s*)?(\d+\.?\d*)\s*[-~～]\s*(\d+\.?\d*)\s*kg',
+            txt
+        ):
+            wmin, wmax = float(m.group(1)), float(m.group(2))
+            if wmax <= 60 and wmax > wmin:
+                add_range(None, wmin, wmax, None)
+
+        # 8c: "Xkg 이하" / "~Xkg" (최소=0)
+        # 단, "Akg 초과-Xkg 이하"는 8a에서 이미 처리되었으므로 제외
+        for m in re.finditer(
+            r'(?:체중\s*)?[~～]\s*(\d+\.?\d*)\s*kg|(\d+\.?\d*)\s*kg\s*(?:이하|까지)',
+            txt
+        ):
+            val = m.group(1) or m.group(2)
+            wmax = float(val)
+            if wmax <= 60:
+                # "초과-Xkg 이하" 컨텍스트인지 확인 → 이미 8a에서 처리됨
+                start = max(0, m.start() - 15)
+                before = txt[start:m.start()]
+                if '초과' in before:
+                    continue
+                add_range(None, 0, wmax, None)
+
+    # 정렬 (min 기준)
+    ranges.sort(key=lambda x: x['min'])
+    return ranges
+
+
+def is_multi_size_product_name(product_name):
+    """
+    제품명에 여러 사이즈가 함께 들어있는 통합 제품인지 판단.
+    예: "하트커버(SS,S,M,L)정" → True
+    """
+    if not product_name:
+        return False
+    # 여러 사이즈 약어가 한 제품명에 있는 경우
+    if re.search(r'[(\(].*(?:SS|XS).*[,/].*(?:S|M|L).*[)\)]', product_name):
+        return True
+    # 소형/중형/대형 등이 2개 이상 포함된 경우
+    size_count = sum(1 for kw in ['초소형', '소형', '중형', '대형', '초대형']
+                     if kw in product_name)
+    if size_count >= 2:
+        return True
+    return False
+
+
+def detect_size_from_product_name(product_name):
+    """
+    제품명에서 사이즈 라벨을 감지.
+    Returns: 'XS', 'S', 'M', 'L', 'XL' 또는 None
+    통합 제품(SS,S,M,L 등 여러 사이즈)은 None 반환.
+    """
+    if not product_name:
+        return None
+    # 통합 제품 제외
+    if is_multi_size_product_name(product_name):
+        return None
+    for pattern, size in PRODUCT_NAME_SIZE_PATTERNS:
+        if re.search(pattern, product_name):
+            return size
+    return None
+
+
+# ─────────────────────────────────────────────
+# 3. 메인 로직
+# ─────────────────────────────────────────────
+
+def main():
+    parser = argparse.ArgumentParser(description='APDB weight_min_kg/weight_max_kg 일괄 채우기')
+    parser.add_argument('--commit', action='store_true', help='실제 DB 업데이트 수행 (기본: dry-run)')
+    parser.add_argument('--verbose', '-v', action='store_true', help='상세 로그')
+    args = parser.parse_args()
+
+    dry_run = not args.commit
+
+    if dry_run:
+        print("=" * 60)
+        print("  DRY-RUN 모드 (DB 변경 없음)")
+        print("  실제 업데이트: python scripts/fill_weight_from_dosage.py --commit")
+        print("=" * 60)
+    else:
+        print("=" * 60)
+        print("  COMMIT 모드 - DB에 실제 업데이트합니다")
+        print("=" * 60)
+
+    pg = create_engine('postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master')
+    conn = pg.connect()
+
+    # ── 동물용의약품 중 dosage_instructions에 kg 있고 weight 미입력인 APC 전체 조회 ──
+    apcs = conn.execute(text('''
+        SELECT apc, item_seq, product_name, dosage, dosage_instructions,
+               product_type
+        FROM apc
+        WHERE product_type = '동물용의약품'
+          AND dosage_instructions ILIKE '%%kg%%'
+          AND weight_min_kg IS NULL
+        ORDER BY item_seq, apc
+    ''')).fetchall()
+
+    print(f'\n대상 APC 레코드: {len(apcs)}건')
+
+    # item_seq별로 그룹핑
+    from collections import defaultdict
+    items = defaultdict(list)
+    di_cache = {}
+    for row in apcs:
+        items[row.item_seq].append(row)
+        if row.item_seq not in di_cache:
+            di_cache[row.item_seq] = row.dosage_instructions
+
+    print(f'대상 item_seq: {len(items)}건\n')
+
+    stats = {
+        'total_items': len(items),
+        'updated': 0,
+        'matched_by_name': 0,
+        'matched_by_dosage_order': 0,
+        'matched_single': 0,
+        'skipped_no_parse': 0,
+        'skipped_livestock': 0,
+        'skipped_multi_no_label': 0,
+    }
+
+    updates = []  # (apc, weight_min, weight_max, product_name, reason)
+
+    for item_seq, apc_rows in items.items():
+        di = di_cache[item_seq]
+        first_name = apc_rows[0].product_name
+
+        # 체중 구간 파싱
+        weight_ranges = parse_weight_ranges(di)
+
+        if not weight_ranges:
+            stats['skipped_no_parse'] += 1
+            if args.verbose:
+                print(f'  SKIP (파싱불가): {first_name} ({item_seq})')
+            continue
+
+        # 축산용 필터 (max > 60kg인 구간이 있으면 전체 SKIP)
+        if any(r['max'] > 60 for r in weight_ranges):
+            stats['skipped_livestock'] += 1
+            if args.verbose:
+                large = [r for r in weight_ranges if r['max'] > 60]
+                print(f'  SKIP (축산용): {first_name} ({item_seq}) max={large[0]["max"]}kg')
+            continue
+
+        if len(weight_ranges) == 1:
+            # ── 체중 구간 1개 → 전체 APC에 적용 ──
+            wr = weight_ranges[0]
+            for row in apc_rows:
+                updates.append((row.apc, wr['min'], wr['max'], row.product_name, '단일구간'))
+            stats['matched_single'] += len(apc_rows)
+            stats['updated'] += len(apc_rows)
+            if args.verbose:
+                print(f'  적용 (단일구간): {first_name} → {wr["min"]}~{wr["max"]}kg ({len(apc_rows)}건)')
+
+        else:
+            # ── 체중 구간 여러 개 → 제품명의 사이즈 라벨로 매칭 ──
+            size_to_weight = {}
+            for wr in weight_ranges:
+                if wr['size']:
+                    size_to_weight[wr['size']] = (wr['min'], wr['max'])
+
+            # 먼저 제품명 라벨로 매칭 시도
+            unmatched_rows = []
+            for row in apc_rows:
+                size = detect_size_from_product_name(row.product_name)
+                if size and size in size_to_weight:
+                    wmin, wmax = size_to_weight[size]
+                    updates.append((row.apc, wmin, wmax, row.product_name, f'제품명→{size}'))
+                    stats['matched_by_name'] += 1
+                    stats['updated'] += 1
+                    if args.verbose:
+                        print(f'  적용 (제품명 {size}): {row.product_name} → {wmin}~{wmax}kg')
+                else:
+                    unmatched_rows.append(row)
+
+            # ── 제품명 매칭 실패한 것들 → dosage 순서 매칭 시도 ──
+            if unmatched_rows:
+                # dosage 값이 있는 APC만 추출 (NaN 제외)
+                rows_with_dosage = [r for r in unmatched_rows
+                                    if r.dosage and r.dosage != 'NaN']
+                rows_no_dosage = [r for r in unmatched_rows
+                                  if not r.dosage or r.dosage == 'NaN']
+
+                if rows_with_dosage and len(weight_ranges) >= 2:
+                    # dosage에서 첫 번째 숫자 추출하여 정렬 키로 사용
+                    def dosage_sort_key(dosage_str):
+                        nums = re.findall(r'(\d+\.?\d+)', dosage_str)
+                        return float(nums[0]) if nums else 0
+
+                    # 고유 dosage 값 추출 (순서 유지)
+                    unique_dosages = sorted(
+                        set(r.dosage for r in rows_with_dosage),
+                        key=dosage_sort_key
+                    )
+                    # 체중 구간도 min 기준 정렬 (이미 정렬됨)
+                    sorted_ranges = sorted(weight_ranges, key=lambda x: x['min'])
+
+                    if len(unique_dosages) == len(sorted_ranges):
+                        # 개수 일치 → 순서 매칭 (작은 용량 = 작은 체중)
+                        dosage_to_weight = {}
+                        for d, wr in zip(unique_dosages, sorted_ranges):
+                            dosage_to_weight[d] = (wr['min'], wr['max'])
+
+                        for row in rows_with_dosage:
+                            if row.dosage in dosage_to_weight:
+                                wmin, wmax = dosage_to_weight[row.dosage]
+                                updates.append((row.apc, wmin, wmax, row.product_name,
+                                                f'dosage순서→{wmin}~{wmax}'))
+                                stats['matched_by_dosage_order'] += 1
+                                stats['updated'] += 1
+                                if args.verbose:
+                                    print(f'  적용 (dosage순서): {row.product_name} '
+                                          f'dosage={row.dosage} → {wmin}~{wmax}kg')
+                            else:
+                                stats['skipped_multi_no_label'] += 1
+                                if args.verbose:
+                                    print(f'  SKIP (dosage매칭실패): {row.product_name}')
+
+                        # dosage 없는 APC (대표 품목 등)
+                        for row in rows_no_dosage:
+                            stats['skipped_multi_no_label'] += 1
+                            if args.verbose:
+                                print(f'  SKIP (다중구간+dosage없음): {row.product_name}')
+
+                        if args.verbose and dosage_to_weight:
+                            print(f'    dosage 매핑: {dict((d, f"{w[0]}~{w[1]}kg") for d, w in dosage_to_weight.items())}')
+                    else:
+                        # 개수 불일치 → SKIP
+                        for row in unmatched_rows:
+                            stats['skipped_multi_no_label'] += 1
+                            if args.verbose:
+                                print(f'  SKIP (dosage수≠구간수): {row.product_name} '
+                                      f'(dosage {len(unique_dosages)}종 vs 구간 {len(sorted_ranges)}개)')
+                else:
+                    # dosage 없는 APC만 남음
+                    for row in unmatched_rows:
+                        stats['skipped_multi_no_label'] += 1
+                        if args.verbose:
+                            print(f'  SKIP (다중구간+라벨없음): {row.product_name} '
+                                  f'(감지={detect_size_from_product_name(row.product_name)}, '
+                                  f'가용={list(size_to_weight.keys())})')
+
+    # ── 결과 출력 ──
+    print('\n' + '=' * 60)
+    print('  결과 요약')
+    print('=' * 60)
+    print(f'  대상 item_seq:            {stats["total_items"]}건')
+    print(f'  업데이트할 APC:           {stats["updated"]}건')
+    print(f'    - 단일구간 적용:        {stats["matched_single"]}건')
+    print(f'    - 제품명 라벨 매칭:     {stats["matched_by_name"]}건')
+    print(f'    - dosage 순서 매칭:     {stats["matched_by_dosage_order"]}건')
+    print(f'  SKIP - 파싱 불가:         {stats["skipped_no_parse"]}건')
+    print(f'  SKIP - 축산용 (>60kg):    {stats["skipped_livestock"]}건')
+    print(f'  SKIP - 다중구간+라벨없음: {stats["skipped_multi_no_label"]}건')
+
+    if updates:
+        print(f'\n  === 업데이트 미리보기 (처음 30건) ===')
+        for apc, wmin, wmax, pname, reason in updates[:30]:
+            print(f'    {apc} | {pname[:35]:35s} → {wmin}~{wmax}kg [{reason}]')
+        if len(updates) > 30:
+            print(f'    ... 외 {len(updates) - 30}건')
+
+    # ── DB 업데이트 ──
+    if not dry_run and updates:
+        print(f'\n  DB 업데이트 시작...')
+        conn.close()
+        with pg.begin() as tx_conn:
+            for apc_code, wmin, wmax, _, _ in updates:
+                tx_conn.execute(text('''
+                    UPDATE apc
+                    SET weight_min_kg = :wmin, weight_max_kg = :wmax
+                    WHERE apc = :apc
+                '''), {'wmin': wmin, 'wmax': wmax, 'apc': apc_code})
+        print(f'  완료: {len(updates)}건 업데이트')
+    elif not dry_run and not updates:
+        print('\n  업데이트할 항목이 없습니다.')
+        conn.close()
+    else:
+        conn.close()
+    print('\n완료.')
+
+
+if __name__ == '__main__':
+    main()

backend/scripts/fix_gesidin_boon.py

@@ -0,0 +1,23 @@
+# -*- coding: utf-8 -*-
+import sys, io
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
+sys.path.insert(0, 'c:\\Users\\청춘약국\\source\\pharmacy-pos-qr-system\\backend')
+
+from db.dbsetup import get_db_session
+from sqlalchemy import text
+
+session = get_db_session('PM_DRUG')
+
+print('업데이트 전:')
+r = session.execute(text("SELECT GoodsName, POS_BOON FROM CD_GOODS WHERE DrugCode = 'LB000003140'")).fetchone()
+print(f'  {r.GoodsName}: POS_BOON = {r.POS_BOON}')
+
+session.execute(text("UPDATE CD_GOODS SET POS_BOON = '010103' WHERE DrugCode = 'LB000003140'"))
+session.commit()
+
+print('\n업데이트 후:')
+r2 = session.execute(text("SELECT GoodsName, POS_BOON FROM CD_GOODS WHERE DrugCode = 'LB000003140'")).fetchone()
+print(f'  {r2.GoodsName}: POS_BOON = {r2.POS_BOON}')
+print('  ✅ 완료!')
+
+session.close()

backend/scripts/insert_apc_gesidin.py

@@ -0,0 +1,75 @@
+# -*- coding: utf-8 -*-
+import sys, io
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
+sys.path.insert(0, 'c:\\Users\\청춘약국\\source\\pharmacy-pos-qr-system\\backend')
+
+from db.dbsetup import get_db_session
+from sqlalchemy import text
+from datetime import datetime
+
+session = get_db_session('PM_DRUG')
+
+# 1. 기존 데이터에서 가격 정보 가져오기
+print('1. 기존 레코드에서 가격 정보 조회...')
+existing = session.execute(text("""
+    SELECT TOP 1 CD_MY_UNIT, CD_IN_UNIT 
+    FROM CD_ITEM_UNIT_MEMBER 
+    WHERE DRUGCODE = 'LB000003140'
+    ORDER BY SN DESC
+""")).fetchone()
+
+sale_price = existing.CD_MY_UNIT
+purchase_price = existing.CD_IN_UNIT
+print(f'   판매가: {sale_price:,.0f}원')
+print(f'   입고가: {purchase_price:,.0f}원')
+
+# 2. 오늘 날짜
+today = datetime.now().strftime('%Y%m%d')
+print(f'\n2. 날짜: {today}')
+
+# 3. INSERT 실행
+print('\n3. INSERT 실행...')
+apc_code = '0231093520106'  # 복합개시딘 10g
+
+try:
+    session.execute(text("""
+        INSERT INTO CD_ITEM_UNIT_MEMBER (
+            DRUGCODE, CD_CD_UNIT, CD_NM_UNIT, CD_MY_UNIT, CD_IN_UNIT,
+            CD_CD_BARCODE, CD_CD_POS, CHANGE_DATE
+        ) VALUES (
+            :drugcode, :unit, :nm_unit, :my_unit, :in_unit,
+            :barcode, :pos, :change_date
+        )
+    """), {
+        'drugcode': 'LB000003140',
+        'unit': '015',
+        'nm_unit': 1.0,
+        'my_unit': sale_price,
+        'in_unit': purchase_price,
+        'barcode': apc_code,
+        'pos': '',
+        'change_date': today
+    })
+    
+    session.commit()
+    print(f'   ✅ 성공! APC {apc_code} 추가됨')
+    
+    # 4. 확인
+    print('\n4. 결과 확인...')
+    result = session.execute(text("""
+        SELECT DRUGCODE, CD_CD_BARCODE, CD_MY_UNIT, SN
+        FROM CD_ITEM_UNIT_MEMBER 
+        WHERE DRUGCODE = 'LB000003140' AND CD_CD_BARCODE = :apc
+    """), {'apc': apc_code})
+    
+    row = result.fetchone()
+    if row:
+        print(f'   DRUGCODE: {row.DRUGCODE}')
+        print(f'   BARCODE: {row.CD_CD_BARCODE}')
+        print(f'   SN: {row.SN}')
+    
+except Exception as e:
+    session.rollback()
+    print(f'   ❌ 실패: {e}')
+
+session.close()

backend/scripts/insert_apc_poppy.py

@@ -0,0 +1,90 @@
+# -*- coding: utf-8 -*-
+"""
+안텔민뽀삐 APC 추가 실행 (SN 자동 생성)
+"""
+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
+from datetime import datetime
+
+session = get_db_session('PM_DRUG')
+
+# 1. 기존 데이터에서 가격 정보 가져오기
+print('1. 기존 레코드에서 가격 정보 조회...')
+existing = session.execute(text("""
+    SELECT TOP 1 CD_MY_UNIT, CD_IN_UNIT 
+    FROM CD_ITEM_UNIT_MEMBER 
+    WHERE DRUGCODE = 'LB000003158'
+    ORDER BY SN DESC
+""")).fetchone()
+
+sale_price = existing.CD_MY_UNIT
+purchase_price = existing.CD_IN_UNIT
+print(f'   판매가: {sale_price:,.0f}원')
+print(f'   입고가: {purchase_price:,.0f}원')
+
+# 2. 오늘 날짜
+today = datetime.now().strftime('%Y%m%d')
+print(f'\n2. 날짜: {today}')
+
+# 3. INSERT 실행 (SN은 IDENTITY 자동 생성)
+print('\n3. INSERT 실행...')
+apc_code = '0230237010107'  # 안텔민뽀삐 10정
+
+try:
+    session.execute(text("""
+        INSERT INTO CD_ITEM_UNIT_MEMBER (
+            DRUGCODE,
+            CD_CD_UNIT,
+            CD_NM_UNIT,
+            CD_MY_UNIT,
+            CD_IN_UNIT,
+            CD_CD_BARCODE,
+            CD_CD_POS,
+            CHANGE_DATE
+        ) VALUES (
+            :drugcode,
+            :unit,
+            :nm_unit,
+            :my_unit,
+            :in_unit,
+            :barcode,
+            :pos,
+            :change_date
+        )
+    """), {
+        'drugcode': 'LB000003158',
+        'unit': '015',
+        'nm_unit': 1.0,
+        'my_unit': sale_price,
+        'in_unit': purchase_price,
+        'barcode': apc_code,
+        'pos': '',
+        'change_date': today
+    })
+    
+    session.commit()
+    print(f'   ✅ 성공! APC {apc_code} 추가됨')
+    
+    # 4. 확인
+    print('\n4. 결과 확인...')
+    result = session.execute(text("""
+        SELECT * FROM CD_ITEM_UNIT_MEMBER 
+        WHERE DRUGCODE = 'LB000003158' AND CD_CD_BARCODE = :apc
+    """), {'apc': apc_code})
+    
+    row = result.fetchone()
+    if row:
+        print('   --- 추가된 레코드 ---')
+        for col in result.keys():
+            print(f'   {col}: {getattr(row, col)}')
+    
+except Exception as e:
+    session.rollback()
+    print(f'   ❌ 실패: {e}')
+
+session.close()

backend/scripts/list_petfarm.py

@@ -0,0 +1,36 @@
+# -*- coding: utf-8 -*-
+import sys, io
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
+sys.path.insert(0, 'c:\\Users\\청춘약국\\source\\pharmacy-pos-qr-system\\backend')
+
+from db.dbsetup import get_db_session
+from sqlalchemy import text
+
+session = get_db_session('PM_DRUG')
+
+print('=== 펫팜 공급 동물약 ===\n')
+result = session.execute(text("""
+    SELECT 
+        G.DrugCode,
+        G.GoodsName,
+        G.POS_BOON,
+        S.SplName,
+        (
+            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%'
+        ) AS APC_CODE
+    FROM CD_GOODS G
+    LEFT JOIN CD_SALEGOODS S ON G.DrugCode = S.DrugCode
+    WHERE S.SplName LIKE N'%펫팜%'
+    ORDER BY G.GoodsName
+"""))
+
+for row in result:
+    apc_status = f'✅ {row.APC_CODE}' if row.APC_CODE else '❌ 없음'
+    boon_status = '🐾' if row.POS_BOON == '010103' else '  '
+    print(f'{boon_status} {row.GoodsName}')
+    print(f'    APC: {apc_status}')
+
+session.close()

backend/scripts/perf_test.py

@@ -0,0 +1,68 @@
+# -*- coding: utf-8 -*-
+"""APC 매칭 성능 측정"""
+import sys, io, time
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
+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
+
+print('=== APC 매칭 성능 측정 ===\n')
+
+# 1. MSSQL: 동물약 + APC 조회
+start = time.time()
+session = get_db_session('PM_DRUG')
+result = session.execute(text("""
+    SELECT G.DrugCode, G.GoodsName,
+        (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%') AS APC_CODE
+    FROM CD_GOODS G 
+    WHERE G.POS_BOON = '010103' AND G.GoodsSelCode = 'B'
+"""))
+mssql_rows = list(result)
+no_apc = [r for r in mssql_rows if not r.APC_CODE]
+has_apc = [r for r in mssql_rows if r.APC_CODE]
+mssql_time = time.time() - start
+print(f'1. MSSQL 동물약 조회: {mssql_time:.3f}초')
+print(f'   - 총 제품: {len(mssql_rows)}개')
+print(f'   - APC 있음: {len(has_apc)}개 ✅')
+print(f'   - APC 없음: {len(no_apc)}개 ❌')
+
+# 2. PostgreSQL 연결 + 매칭 검색
+pg = create_engine('postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master').connect()
+
+# 샘플 매칭 테스트
+sample_count = min(5, len(no_apc))
+start = time.time()
+match_count = 0
+for drug in no_apc[:sample_count]:
+    search_name = drug.GoodsName.replace('(판)', '').split('(')[0].strip()
+    res = pg.execute(text("""
+        SELECT apc, product_name FROM apc 
+        WHERE product_name ILIKE :p LIMIT 5
+    """), {'p': f'%{search_name}%'})
+    if list(res):
+        match_count += 1
+pg_search_time = time.time() - start
+per_search = pg_search_time / sample_count if sample_count > 0 else 0
+print(f'\n2. PostgreSQL 매칭 검색: {pg_search_time:.3f}초 ({sample_count}개 샘플)')
+print(f'   - 건당 소요: {per_search*1000:.1f}ms')
+print(f'   - 매칭 성공: {match_count}/{sample_count}')
+print(f'   - 예상 전체: {per_search * len(no_apc):.1f}초 ({len(no_apc)}개)')
+
+# 3. APC 테이블 통계
+start = time.time()
+total_apc = pg.execute(text("SELECT COUNT(*) FROM apc")).scalar()
+with_image = pg.execute(text("SELECT COUNT(*) FROM apc WHERE image_url1 IS NOT NULL AND image_url1 != ''")).scalar()
+pg.close()
+print(f'\n3. APDB 통계:')
+print(f'   - 전체 APC: {total_apc:,}개')
+print(f'   - 이미지 있음: {with_image:,}개 ({with_image/total_apc*100:.1f}%)')
+
+# 4. CD_ITEM_UNIT_MEMBER 구조 확인
+print(f'\n4. 현재 APC 매핑 상태:')
+for r in has_apc[:5]:
+    print(f'   ✅ {r.GoodsName[:25]:<25} → {r.APC_CODE}')
+
+session.close()
+print('\n=== 측정 완료 ===')

backend/scripts/prepare_apc_insert.py

@@ -0,0 +1,89 @@
+# -*- coding: utf-8 -*-
+"""
+안텔민뽀삐 APC 추가 준비 스크립트
+- CD_ITEM_UNIT_MEMBER 구조 확인
+- 안텔민킹 레코드 참고
+- INSERT 쿼리 생성 (실행 안 함)
+"""
+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
+
+session = get_db_session('PM_DRUG')
+
+print('=' * 60)
+print('1. CD_ITEM_UNIT_MEMBER 테이블 구조')
+print('=' * 60)
+result = session.execute(text("""
+    SELECT COLUMN_NAME, DATA_TYPE, IS_NULLABLE, CHARACTER_MAXIMUM_LENGTH
+    FROM INFORMATION_SCHEMA.COLUMNS
+    WHERE TABLE_NAME = 'CD_ITEM_UNIT_MEMBER'
+    ORDER BY ORDINAL_POSITION
+"""))
+for r in result:
+    nullable = 'NULL' if r.IS_NULLABLE == 'YES' else 'NOT NULL'
+    length = f'({r.CHARACTER_MAXIMUM_LENGTH})' if r.CHARACTER_MAXIMUM_LENGTH else ''
+    print(f'  {r.COLUMN_NAME}: {r.DATA_TYPE}{length} {nullable}')
+
+print('\n' + '=' * 60)
+print('2. 안텔민킹 APC 레코드 (참고용)')
+print('=' * 60)
+result = session.execute(text("""
+    SELECT * FROM CD_ITEM_UNIT_MEMBER 
+    WHERE DRUGCODE = 'LB000003157' 
+      AND CD_CD_BARCODE LIKE '023%'
+"""))
+row = result.fetchone()
+if row:
+    cols = result.keys()
+    for col in cols:
+        val = getattr(row, col)
+        print(f'  {col}: {val}')
+
+print('\n' + '=' * 60)
+print('3. 안텔민뽀삐 현재 레코드')
+print('=' * 60)
+result2 = session.execute(text("""
+    SELECT * FROM CD_ITEM_UNIT_MEMBER 
+    WHERE DRUGCODE = 'LB000003158'
+    ORDER BY SN DESC
+"""))
+rows = list(result2)
+print(f'  총 {len(rows)}개 레코드')
+for row in rows[:3]:
+    print(f'\n  --- SN: {row.SN} ---')
+    cols = result2.keys()
+    for col in cols:
+        val = getattr(row, col)
+        print(f'    {col}: {val}')
+
+print('\n' + '=' * 60)
+print('4. 다음 SN 값 확인')
+print('=' * 60)
+result3 = session.execute(text("SELECT MAX(SN) as max_sn FROM CD_ITEM_UNIT_MEMBER"))
+max_sn = result3.fetchone().max_sn
+print(f'  현재 MAX(SN): {max_sn}')
+print(f'  다음 SN: {max_sn + 1}')
+
+session.close()
+
+print('\n' + '=' * 60)
+print('5. PostgreSQL에서 안텔민뽀삐 APC 확인')
+print('=' * 60)
+from sqlalchemy import create_engine
+pg = create_engine('postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master').connect()
+result4 = pg.execute(text("""
+    SELECT apc, product_name 
+    FROM apc 
+    WHERE product_name ILIKE '%안텔민%뽀삐%' OR product_name ILIKE '%안텔민%5kg%이하%'
+    ORDER BY apc
+"""))
+for r in result4:
+    print(f'  APC: {r.apc}')
+    print(f'  제품명: {r.product_name}')
+    print()
+pg.close()

backend/scripts/query_aniparm.py

@@ -0,0 +1,168 @@
+# -*- coding: utf-8 -*-
+"""
+애니팜 PostgreSQL 조회 스크립트
+Usage:
+    python scripts/query_aniparm.py schema          # 테이블 구조 확인
+    python scripts/query_aniparm.py search <제품명>  # 제품 검색
+    python scripts/query_aniparm.py barcode <바코드> # 바코드로 검색
+    python scripts/query_aniparm.py sample          # 샘플 데이터
+    python scripts/query_aniparm.py stats           # 통계
+"""
+import sys
+import io
+import json
+
+# ═══════════════════════════════════════════════════════════
+# 인코딩 설정 (Windows CP949 문제 방지)
+# ═══════════════════════════════════════════════════════════
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8', errors='replace')
+sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8', errors='replace')
+from sqlalchemy import create_engine, text
+
+# PostgreSQL 연결
+DATABASE_URI = 'postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master'
+
+def get_connection():
+    engine = create_engine(DATABASE_URI)
+    return engine.connect()
+
+def cmd_schema():
+    """apc 테이블 구조 확인"""
+    conn = get_connection()
+    result = conn.execute(text("""
+        SELECT column_name, data_type, character_maximum_length
+        FROM information_schema.columns
+        WHERE table_name = 'apc'
+        ORDER BY ordinal_position
+    """))
+    
+    print('=== apc 테이블 컬럼 ===')
+    for row in result:
+        length = f'({row.character_maximum_length})' if row.character_maximum_length else ''
+        print(f'  {row.column_name}: {row.data_type}{length}')
+    
+    conn.close()
+
+def cmd_search(keyword):
+    """제품명으로 검색"""
+    conn = get_connection()
+    result = conn.execute(text("""
+        SELECT idx, apc, product_name, company_name, 
+               image_url1, godoimage_url_f, for_pets
+        FROM apc
+        WHERE product_name ILIKE :keyword
+        LIMIT 20
+    """), {'keyword': f'%{keyword}%'})
+    
+    print(f'=== "{keyword}" 검색 결과 ===')
+    count = 0
+    for row in result:
+        count += 1
+        print(f'\n[{count}] {row.product_name}')
+        print(f'    APC: {row.apc}')
+        print(f'    제조사: {row.company_name}')
+        print(f'    동물용: {row.for_pets}')
+        if row.image_url1:
+            print(f'    이미지1: {row.image_url1[:50]}...')
+        if row.godoimage_url_f:
+            print(f'    고도몰F: {row.godoimage_url_f[:50]}...')
+    
+    if count == 0:
+        print('(결과 없음)')
+    
+    conn.close()
+
+def cmd_barcode(barcode):
+    """바코드로 검색 - 바코드 컬럼이 있는지 먼저 확인"""
+    conn = get_connection()
+    
+    # 바코드 관련 컬럼 찾기
+    result = conn.execute(text("""
+        SELECT column_name FROM information_schema.columns
+        WHERE table_name = 'apc' 
+          AND column_name ILIKE '%barcode%'
+    """))
+    
+    barcode_cols = [row.column_name for row in result]
+    
+    if not barcode_cols:
+        print('apc 테이블에 barcode 관련 컬럼이 없습니다.')
+        print('다른 컬럼으로 검색해야 합니다.')
+    else:
+        print(f'바코드 컬럼 발견: {barcode_cols}')
+        # TODO: 바코드로 검색 구현
+    
+    conn.close()
+
+def cmd_sample():
+    """샘플 데이터 (동물용 제품)"""
+    conn = get_connection()
+    result = conn.execute(text("""
+        SELECT idx, apc, product_name, company_name,
+               image_url1, godoimage_url_f, for_pets
+        FROM apc
+        WHERE for_pets = true
+        LIMIT 10
+    """))
+    
+    print('=== 동물용 제품 샘플 ===')
+    count = 0
+    for row in result:
+        count += 1
+        print(f'\n[{count}] {row.product_name}')
+        print(f'    APC: {row.apc}')
+        print(f'    제조사: {row.company_name}')
+        img = row.image_url1 or row.godoimage_url_f or '(없음)'
+        if len(img) > 50:
+            img = img[:50] + '...'
+        print(f'    이미지: {img}')
+    
+    if count == 0:
+        print('(동물용 제품 없음 - for_pets 필터 확인 필요)')
+    
+    conn.close()
+
+def cmd_stats():
+    """통계"""
+    conn = get_connection()
+    
+    result = conn.execute(text("""
+        SELECT 
+            COUNT(*) as total,
+            SUM(CASE WHEN for_pets = true THEN 1 ELSE 0 END) as pet_count,
+            SUM(CASE WHEN image_url1 IS NOT NULL AND image_url1 != '' THEN 1 ELSE 0 END) as has_img1,
+            SUM(CASE WHEN godoimage_url_f IS NOT NULL AND godoimage_url_f != '' THEN 1 ELSE 0 END) as has_godo_f
+        FROM apc
+    """))
+    
+    row = result.fetchone()
+    print('=== apc 테이블 통계 ===')
+    print(f'전체 제품: {row.total:,}개')
+    print(f'동물용(for_pets=true): {row.pet_count:,}개')
+    print(f'image_url1 있음: {row.has_img1:,}개')
+    print(f'godoimage_url_f 있음: {row.has_godo_f:,}개')
+    
+    conn.close()
+
+def main():
+    if len(sys.argv) < 2:
+        print(__doc__)
+        return
+    
+    cmd = sys.argv[1]
+    
+    if cmd == 'schema':
+        cmd_schema()
+    elif cmd == 'search' and len(sys.argv) > 2:
+        cmd_search(sys.argv[2])
+    elif cmd == 'barcode' and len(sys.argv) > 2:
+        cmd_barcode(sys.argv[2])
+    elif cmd == 'sample':
+        cmd_sample()
+    elif cmd == 'stats':
+        cmd_stats()
+    else:
+        print(__doc__)
+
+if __name__ == '__main__':
+    main()

backend/scripts/show_llm_pharm.py

@@ -0,0 +1,27 @@
+# -*- coding: utf-8 -*-
+import sys, io, json
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
+from sqlalchemy import create_engine, text
+
+pg = create_engine('postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master').connect()
+
+# 안텔민킹 llm_pharm 전체 확인
+result = pg.execute(text("""
+    SELECT product_name, llm_pharm FROM apc WHERE apc = '0230237810109'
+"""))
+row = result.fetchone()
+
+print('=== 안텔민킹 llm_pharm 전체 키 ===\n')
+data = row.llm_pharm
+for k in sorted(data.keys()):
+    val = str(data[k])
+    if len(val) > 60:
+        val = val[:60] + '...'
+    print(f'  {k}: {val}')
+
+# 동물약 전체 개수
+print('\n=== PostgreSQL 동물약 전체 개수 ===')
+result2 = pg.execute(text("SELECT COUNT(*) FROM apc"))
+print(f'  전체: {result2.fetchone()[0]}개')
+
+pg.close()

backend/scripts/start_server.bat

@@ -0,0 +1,4 @@
+@echo off
+chcp 65001 >nul
+powershell -ExecutionPolicy Bypass -File "%~dp0start_server.ps1"
+pause

backend/scripts/start_server.ps1

@@ -0,0 +1,35 @@
+# start_server.ps1 - Flask 서버 시작 스크립트
+# 기존 프로세스 종료 후 새로 시작
+
+$PORT = 7001
+$SCRIPT_DIR = Split-Path -Parent $MyInvocation.MyCommand.Path
+$BACKEND_DIR = Split-Path -Parent $SCRIPT_DIR
+
+Write-Host "=== 청춘약국 마일리지 서버 시작 ===" -ForegroundColor Cyan
+
+# 1. 기존 포트 사용 프로세스 종료
+Write-Host "1. 포트 $PORT 확인 중..." -ForegroundColor Yellow
+$netstat = netstat -ano | Select-String ":$PORT.*LISTENING"
+if ($netstat) {
+    $pid = ($netstat -split '\s+')[-1]
+    Write-Host "   기존 프로세스 발견 (PID: $pid). 종료합니다..." -ForegroundColor Red
+    taskkill /F /PID $pid 2>$null
+    Start-Sleep -Seconds 2
+}
+
+# 2. 서버 시작
+Write-Host "2. 서버 시작 중..." -ForegroundColor Yellow
+Set-Location $BACKEND_DIR
+Start-Process python -ArgumentList "app.py" -WindowStyle Hidden
+
+# 3. 시작 확인
+Start-Sleep -Seconds 3
+$check = netstat -ano | Select-String ":$PORT.*LISTENING"
+if ($check) {
+    Write-Host "=== 서버 시작 완료! ===" -ForegroundColor Green
+    Write-Host "URL: http://localhost:$PORT" -ForegroundColor Cyan
+    Write-Host "외부: http://192.168.0.14:$PORT" -ForegroundColor Cyan
+} else {
+    Write-Host "=== 서버 시작 실패 ===" -ForegroundColor Red
+    Write-Host "로그를 확인하세요." -ForegroundColor Red
+}

backend/scripts/stop_server.bat

@@ -0,0 +1,4 @@
+@echo off
+chcp 65001 >nul
+powershell -ExecutionPolicy Bypass -File "%~dp0stop_server.ps1"
+pause

backend/scripts/stop_server.ps1

@@ -0,0 +1,15 @@
+# stop_server.ps1 - Flask 서버 중지 스크립트
+
+$PORT = 7001
+
+Write-Host "=== 청춘약국 마일리지 서버 중지 ===" -ForegroundColor Cyan
+
+$netstat = netstat -ano | Select-String ":$PORT.*LISTENING"
+if ($netstat) {
+    $pid = ($netstat -split '\s+')[-1]
+    Write-Host "서버 프로세스 종료 중 (PID: $pid)..." -ForegroundColor Yellow
+    taskkill /F /PID $pid 2>$null
+    Write-Host "=== 서버 중지 완료 ===" -ForegroundColor Green
+} else {
+    Write-Host "실행 중인 서버가 없습니다." -ForegroundColor Yellow
+}

backend/scripts/tag_animal_drugs.py

@@ -0,0 +1,201 @@
+"""
+동물약 태깅 및 MSSQL 동기화
+1. 키워드로 CD_GOODS에서 동물약 검색
+2. SQLite drug_tags.db에 태깅
+3. MSSQL CD_GOODS.POS_BOON = '010103' 업데이트
+"""
+import sqlite3
+from pathlib import Path
+import sys
+
+sys.path.insert(0, str(Path(__file__).parent.parent))
+from db.dbsetup import db_manager
+from sqlalchemy import text
+
+# SQLite DB 경로
+DB_PATH = Path(__file__).parent.parent / 'db' / 'drug_tags.db'
+
+# 동물약 키워드
+ANIMAL_KEYWORDS = [
+    '동물', '반려', '애견', '강아지', '고양이', '반려견',
+    '넥스가드', '브라벡토', '심파리카', '크레델리오', '컴포티스',
+    '하트세이버', '하트가드', '다이로하트', '하트웜', '하트캅',
+    '안텔민', '파라캅', '제스타제',
+    '캐치원', '셀라이트', '가드닐', '리펠로', '심피드독',
+    '세레니아', '아포퀄', '갈리프란트', '클라펫',
+    '펫팜', '동물약품', '애니팜'
+]
+
+# 동물약 공급처 (SplName이 이 값이면 전부 동물약)
+ANIMAL_SUPPLIERS = [
+    '펫팜'
+]
+
+# 제외 키워드 (사람용 약)
+EXCLUDE_KEYWORDS = [
+    '헤리펫사', '토피라펫', '메타트레이스', '페리돈', '세파라캅'
+]
+
+def init_sqlite_db():
+    """SQLite DB 초기화"""
+    DB_PATH.parent.mkdir(parents=True, exist_ok=True)
+    conn = sqlite3.connect(DB_PATH)
+    cursor = conn.cursor()
+    
+    cursor.execute('''
+        CREATE TABLE IF NOT EXISTS drug_tags (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            drug_code TEXT NOT NULL,
+            drug_name TEXT,
+            barcode TEXT,
+            tag_type TEXT NOT NULL,
+            tag_value TEXT,
+            note TEXT,
+            source TEXT DEFAULT 'keyword',
+            confidence REAL DEFAULT 0.8,
+            is_active BOOLEAN DEFAULT 1,
+            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+            UNIQUE(drug_code, tag_type)
+        )
+    ''')
+    conn.commit()
+    conn.close()
+    print(f"✅ SQLite DB 준비: {DB_PATH}")
+
+def search_animal_drugs():
+    """MSSQL에서 동물약 검색 (키워드 + 공급처)"""
+    print("🔍 CD_GOODS에서 동물약 검색 중...")
+
+    session = db_manager.get_session('PM_DRUG')
+
+    # 키워드 조건
+    keyword_conds = ' OR '.join([f"GoodsName LIKE '%{kw}%'" for kw in ANIMAL_KEYWORDS])
+
+    # 공급처 조건
+    supplier_conds = ' OR '.join([f"SplName = '{sp}'" for sp in ANIMAL_SUPPLIERS])
+
+    query = text(f"""
+        SELECT DrugCode, GoodsName, BARCODE, POS_BOON, SplName
+        FROM CD_GOODS
+        WHERE (({keyword_conds}) OR ({supplier_conds}))
+          AND GoodsSelCode = 'B'
+    """)
+
+    result = session.execute(query)
+    drugs = result.fetchall()
+
+    # 키워드 vs 공급처 통계
+    by_keyword = [d for d in drugs if any(kw in (d.GoodsName or '') for kw in ANIMAL_KEYWORDS)]
+    by_supplier = [d for d in drugs if d.SplName in ANIMAL_SUPPLIERS]
+    supplier_only = [d for d in by_supplier if not any(kw in (d.GoodsName or '') for kw in ANIMAL_KEYWORDS)]
+
+    print(f"✅ 발견: {len(drugs)}개 (키워드: {len(by_keyword)}, 공급처 추가: {len(supplier_only)})")
+    if supplier_only:
+        print("  📦 공급처 기반 신규:")
+        for d in supplier_only:
+            print(f"    {d.DrugCode}: {d.GoodsName} ({d.SplName})")
+
+    return drugs
+
+def tag_to_sqlite(drugs):
+    """SQLite에 동물약 태깅"""
+    print("\n📝 SQLite 태깅 중...")
+    
+    conn = sqlite3.connect(DB_PATH)
+    cursor = conn.cursor()
+    
+    added = 0
+    skipped = 0
+    excluded = 0
+    
+    for drug in drugs:
+        drug_code = drug[0]
+        drug_name = drug[1] or ''
+        barcode = drug[2]
+        spl_name = drug[4] if len(drug) > 4 else ''
+
+        # 제외 키워드 체크
+        if any(ex in drug_name for ex in EXCLUDE_KEYWORDS):
+            excluded += 1
+            print(f"  ⛔ 제외: {drug_code} - {drug_name}")
+            continue
+
+        # 매칭 소스 구분
+        by_kw = any(kw in drug_name for kw in ANIMAL_KEYWORDS)
+        by_sp = spl_name in ANIMAL_SUPPLIERS
+        source = 'keyword' if by_kw else 'supplier'
+        note = '키워드 자동 태깅' if by_kw else f'공급처({spl_name}) 자동 태깅'
+
+        try:
+            cursor.execute('''
+                INSERT INTO drug_tags (drug_code, drug_name, barcode, tag_type, tag_value, note, source)
+                VALUES (?, ?, ?, 'animal_drug', 'all', ?, ?)
+            ''', (drug_code, drug_name, barcode, note, source))
+            added += 1
+            print(f"  ✅ {drug_code}: {drug_name} [{source}]")
+        except sqlite3.IntegrityError:
+            skipped += 1
+    
+    conn.commit()
+    conn.close()
+    
+    print(f"\n📊 태깅 결과: 추가 {added}개, 중복 {skipped}개, 제외 {excluded}개")
+    return added
+
+def sync_to_mssql():
+    """SQLite 태그를 MSSQL POS_BOON에 동기화"""
+    print("\n🔄 MSSQL 동기화 중...")
+    
+    # SQLite에서 동물약 목록 가져오기
+    conn = sqlite3.connect(DB_PATH)
+    cursor = conn.cursor()
+    cursor.execute('''
+        SELECT drug_code, drug_name FROM drug_tags 
+        WHERE tag_type = 'animal_drug' AND is_active = 1
+    ''')
+    animal_drugs = cursor.fetchall()
+    conn.close()
+    
+    print(f"  동물약 {len(animal_drugs)}개 → POS_BOON='010103' 업데이트")
+    
+    # MSSQL 업데이트
+    session = db_manager.get_session('PM_DRUG')
+    updated = 0
+    
+    for drug_code, drug_name in animal_drugs:
+        try:
+            result = session.execute(text('''
+                UPDATE CD_GOODS SET POS_BOON = '010103' WHERE DrugCode = :dc
+            '''), {'dc': drug_code})
+            session.commit()
+            if result.rowcount > 0:
+                updated += 1
+                print(f"  ✅ {drug_code}: {drug_name}")
+        except Exception as e:
+            print(f"  ❌ {drug_code}: {e}")
+    
+    print(f"\n🎉 완료! MSSQL 업데이트: {updated}개")
+
+def main():
+    print("=" * 50)
+    print("🐾 동물약 태깅 시스템")
+    print("=" * 50)
+    
+    # 1. SQLite 초기화
+    init_sqlite_db()
+    
+    # 2. 동물약 검색
+    drugs = search_animal_drugs()
+    
+    # 3. SQLite 태깅
+    tag_to_sqlite(drugs)
+    
+    # 4. MSSQL 동기화
+    sync_to_mssql()
+    
+    print("\n" + "=" * 50)
+    print("✅ 모든 작업 완료!")
+    print("=" * 50)
+
+if __name__ == '__main__':
+    main()

backend/scripts/test_gestage_api.py

@@ -0,0 +1,16 @@
+# -*- coding: utf-8 -*-
+import sys, io
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
+sys.path.insert(0, 'c:\\Users\\청춘약국\\source\\pharmacy-pos-qr-system\\backend')
+
+from app import _get_animal_drugs
+
+drugs = _get_animal_drugs()
+gestage = [d for d in drugs if '제스타제' in d['name']]
+
+print('=== 제스타제 API 결과 ===\n')
+for d in gestage:
+    print(f"name: {d['name']}")
+    print(f"barcode: {d['barcode']}")
+    print(f"apc: {d['apc']}")
+    print(f"image_url: {d['image_url']}")

backend/scripts/test_pets_migration.py

@@ -0,0 +1,23 @@
+# -*- coding: utf-8 -*-
+"""pets 테이블 마이그레이션 테스트"""
+import sys, io
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
+sys.path.insert(0, 'c:\\Users\\청춘약국\\source\\pharmacy-pos-qr-system\\backend')
+
+from db.dbsetup import db_manager
+
+# SQLite 연결 (마이그레이션 자동 실행)
+conn = db_manager.get_sqlite_connection()
+cursor = conn.cursor()
+
+# pets 테이블 확인
+cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='pets'")
+if cursor.fetchone():
+    print('✅ pets 테이블 생성 완료')
+    cursor.execute('PRAGMA table_info(pets)')
+    columns = cursor.fetchall()
+    print('\n컬럼 목록:')
+    for col in columns:
+        print(f'  - {col[1]} ({col[2]})')
+else:
+    print('❌ pets 테이블 없음')

backend/scripts/update_gesidin_category.py

@@ -0,0 +1,43 @@
+# -*- coding: utf-8 -*-
+import sys, io
+sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
+sys.path.insert(0, 'c:\\Users\\청춘약국\\source\\pharmacy-pos-qr-system\\backend')
+
+from db.dbsetup import get_db_session
+from sqlalchemy import text
+
+session = get_db_session('PM_DRUG')
+
+print('1. 현재 상태 확인...')
+result = session.execute(text("""
+    SELECT DrugCode, GoodsName, POS_BOON 
+    FROM CD_GOODS 
+    WHERE DrugCode = 'LB000003140'
+"""))
+row = result.fetchone()
+print(f'   {row.GoodsName}: POS_BOON = {row.POS_BOON}')
+
+print('\n2. POS_BOON을 동물약(010103)으로 업데이트...')
+try:
+    session.execute(text("""
+        UPDATE CD_GOODS 
+        SET POS_BOON = '010103'
+        WHERE DrugCode = 'LB000003140'
+    """))
+    session.commit()
+    print('   ✅ 성공!')
+    
+    # 확인
+    result2 = session.execute(text("""
+        SELECT DrugCode, GoodsName, POS_BOON 
+        FROM CD_GOODS 
+        WHERE DrugCode = 'LB000003140'
+    """))
+    row2 = result2.fetchone()
+    print(f'   {row2.GoodsName}: POS_BOON = {row2.POS_BOON}')
+    
+except Exception as e:
+    session.rollback()
+    print(f'   ❌ 실패: {e}')
+
+session.close()