"""
Flask 웹 서버 - QR 마일리지 적립
간편 적립: 전화번호 + 이름만 입력
"""
import sys
import os
# 현재 디렉토리를 Python path에 추가 (PM2 실행 시 utils 모듈 찾기 위함)
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
# Windows 콘솔 UTF-8 강제 (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')
os.environ.setdefault('PYTHONIOENCODING', 'utf-8')
from flask import Flask, request, render_template, render_template_string, jsonify, redirect, url_for, session, make_response
import hashlib
import base64
import secrets
from datetime import datetime, timezone, timedelta
import logging
from sqlalchemy import text
from dotenv import load_dotenv
import json
import time
import sqlite3
from pathlib import Path
# 환경 변수 로드 (명시적 경로)
env_path = Path(__file__).parent / '.env'
load_dotenv(dotenv_path=env_path)
# OpenAI import
try:
from openai import OpenAI, OpenAIError, RateLimitError, APITimeoutError
OPENAI_AVAILABLE = True
except ImportError:
OPENAI_AVAILABLE = False
logging.warning("OpenAI 라이브러리가 설치되지 않았습니다. AI 분석 기능을 사용할 수 없습니다.")
# Path setup
BACKEND_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.insert(0, BACKEND_DIR)
from db.dbsetup import DatabaseManager
# OTC 라벨 프린터 import
try:
from utils.otc_label_printer import generate_preview_image, print_otc_label
OTC_LABEL_AVAILABLE = True
except ImportError as e:
OTC_LABEL_AVAILABLE = False
logging.warning(f"OTC 라벨 프린터 모듈 로드 실패: {e}")
# 약국 코드 가져오기 (config.json)
def get_pharmacy_code():
import json
config_path = os.path.join(os.path.dirname(__file__), 'config.json')
try:
with open(config_path, 'r', encoding='utf-8') as f:
config = json.load(f)
return config.get('pharmacy_code', 'P0001')
except:
return 'P0001'
# 판매 품목 조회 (MSSQL)
def get_sale_items(transaction_id):
"""MSSQL에서 판매 품목 조회"""
try:
from db.dbsetup import db_manager
from sqlalchemy import text
mssql_engine = db_manager.get_engine('PM_PRES')
with mssql_engine.connect() as conn:
result = conn.execute(text("""
SELECT
s.DrugCode as item_code,
g.GoodsName as item_name,
s.QUAN as quantity,
s.SL_INPUT_PRICE as unit_price,
s.SL_TOTAL_PRICE as total_price
FROM SALE_SUB s
LEFT JOIN PM_DRUG.dbo.CD_GOODS g ON g.DrugCode = s.DrugCode
WHERE s.SL_NO_order = :tx_id
"""), {'tx_id': transaction_id})
items = []
for row in result:
items.append({
'item_code': row.item_code or '',
'item_name': row.item_name or '상품',
'quantity': int(row.quantity) if row.quantity else 1,
'unit_price': int(row.unit_price) if row.unit_price else 0,
'total_price': int(row.total_price) if row.total_price else 0
})
print(f"[QR] 품목 조회 성공: {transaction_id} → {len(items)}개")
return items
except Exception as e:
print(f"[QR] 품목 조회 실패: {e}")
return []
app = Flask(__name__)
app.secret_key = 'pharmacy-qr-mileage-secret-key-2026'
# 세션 설정 (PWA 자동적립 지원)
app.config['SESSION_COOKIE_SECURE'] = not app.debug # HTTPS 전용 (로컬 개발 시 제외)
app.config['SESSION_COOKIE_SAMESITE'] = 'Lax' # QR 스캔 시 쿠키 전송 허용
app.config['PERMANENT_SESSION_LIFETIME'] = timedelta(days=90) # 3개월 유지
# ─────────────────────────────────────────────────────────────
# Blueprint 등록
# ─────────────────────────────────────────────────────────────
from pmr_api import pmr_bp
app.register_blueprint(pmr_bp)
from paai_feedback import paai_feedback_bp
app.register_blueprint(paai_feedback_bp)
from geoyoung_api import geoyoung_bp
app.register_blueprint(geoyoung_bp)
from sooin_api import sooin_bp
app.register_blueprint(sooin_bp)
from baekje_api import baekje_bp
app.register_blueprint(baekje_bp)
from dongwon_api import dongwon_bp
app.register_blueprint(dongwon_bp)
from wholesaler_config_api import wholesaler_config_bp
app.register_blueprint(wholesaler_config_bp)
from order_api import order_bp
app.register_blueprint(order_bp)
from order_recommendation import order_recommendation_bp
app.register_blueprint(order_recommendation_bp)
# 데이터베이스 매니저
db_manager = DatabaseManager()
# KST 타임존 (UTC+9)
KST = timezone(timedelta(hours=9))
# 키오스크 현재 세션 (메모리 변수, 서버 재시작 시 초기화)
kiosk_current_session = None
def utc_to_kst_str(utc_time_str):
"""
UTC 시간 문자열을 KST 시간 문자열로 변환
Args:
utc_time_str (str): UTC 시간 문자열 (ISO 8601 형식)
Returns:
str: KST 시간 문자열 (YYYY-MM-DD HH:MM:SS)
"""
if not utc_time_str:
return None
try:
# ISO 8601 형식 파싱 ('2026-01-23T12:28:36' 또는 '2026-01-23 12:28:36')
utc_time_str = utc_time_str.replace(' ', 'T') # 공백을 T로 변환
# datetime 객체로 변환
if 'T' in utc_time_str:
utc_time = datetime.fromisoformat(utc_time_str)
else:
utc_time = datetime.fromisoformat(utc_time_str)
# UTC 타임존 설정 (naive datetime인 경우)
if utc_time.tzinfo is None:
utc_time = utc_time.replace(tzinfo=timezone.utc)
# KST로 변환
kst_time = utc_time.astimezone(KST)
# 문자열로 반환 (초 단위까지만)
return kst_time.strftime('%Y-%m-%d %H:%M:%S')
except Exception as e:
logging.error(f"시간 변환 실패: {utc_time_str}, 오류: {e}")
return utc_time_str # 변환 실패 시 원본 반환
# ===== OpenAI 설정 및 헬퍼 함수 =====
# OpenAI API 설정
OPENAI_API_KEY = os.getenv('OPENAI_API_KEY')
OPENAI_MODEL = os.getenv('OPENAI_MODEL', 'gpt-4o-mini')
OPENAI_MAX_TOKENS = int(os.getenv('OPENAI_MAX_TOKENS', '1000'))
OPENAI_TEMPERATURE = float(os.getenv('OPENAI_TEMPERATURE', '0.7'))
# OpenAI 사용 가능 여부 및 API 키 확인
if OPENAI_AVAILABLE and not OPENAI_API_KEY:
logging.warning("OPENAI_API_KEY가 설정되지 않았습니다. AI 분석 기능을 사용할 수 없습니다.")
OPENAI_AVAILABLE = False
# System Prompt
SYSTEM_PROMPT = """당신은 약국 고객 관리 전문가입니다. 고객의 구매 데이터를 분석하여 다음을 제공합니다:
1. 구매 패턴 및 행동 분석
2. 주요 관심 제품 카테고리 파악
3. 업셀링을 위한 제품 추천
4. 고객 맞춤형 마케팅 전략
응답은 반드시 JSON 형식으로 작성하며, 한국어로 작성합니다.
약국 운영자가 실제로 활용할 수 있는 구체적이고 실용적인 인사이트를 제공해야 합니다."""
# 에러 메시지
ERROR_MESSAGES = {
'NO_USER': '사용자를 찾을 수 없습니다.',
'NO_PURCHASES': '구매 이력이 없어 분석할 수 없습니다. 최소 1건 이상의 구매가 필요합니다.',
'OPENAI_NOT_AVAILABLE': 'AI 분석 기능을 사용할 수 없습니다. 관리자에게 문의하세요.',
'OPENAI_API_KEY_MISSING': 'OpenAI API 키가 설정되지 않았습니다.',
'OPENAI_API_ERROR': 'OpenAI API 호출에 실패했습니다. 잠시 후 다시 시도해주세요.',
'OPENAI_RATE_LIMIT': 'API 호출 횟수 제한에 도달했습니다. 잠시 후 다시 시도해주세요.',
'OPENAI_TIMEOUT': 'AI 분석 시간이 초과되었습니다. 다시 시도해주세요.',
'PARSING_ERROR': 'AI 응답을 처리하는 중 오류가 발생했습니다.',
'UNKNOWN_ERROR': '알 수 없는 오류가 발생했습니다. 관리자에게 문의하세요.'
}
def categorize_product(product_name):
"""제품명에서 카테고리 추정 (간단한 키워드 매칭)"""
categories = {
'소화제': ['타센', '베아제', '겔포스', '소화'],
'진통제': ['타이레놀', '게보린', '펜잘', '이부프로펜'],
'감기약': ['판콜', '화이투벤', '지르텍', '감기'],
'피부약': ['후시딘', '마데카솔', '더마틱스'],
'비타민': ['비타민', '센트룸', '활성비타민'],
'안약': ['안약', '인공눈물'],
'소염진통제': ['자미슬', '펠루비', '게보린']
}
for category, keywords in categories.items():
for keyword in keywords:
if keyword in product_name:
return category
return '기타'
def prepare_analysis_prompt(user, purchases):
"""OpenAI API 전송용 프롬프트 생성"""
# 사용자 정보 요약
user_summary = f"""사용자: {user['nickname']} ({user['phone']})
가입일: {utc_to_kst_str(user['created_at']) if user['created_at'] else '-'}
포인트 잔액: {user['mileage_balance']:,}P
총 구매 건수: {len(purchases)}건
"""
# 구매 이력 상세
purchase_details = []
total_spent = 0
all_products = []
product_freq = {}
for idx, purchase in enumerate(purchases, 1):
total_spent += purchase['amount']
products_str = ', '.join([f"{item['name']} x{item['qty']}" for item in purchase['items']])
# 제품 빈도 계산
for item in purchase['items']:
product_name = item['name']
all_products.append(product_name)
product_freq[product_name] = product_freq.get(product_name, 0) + 1
purchase_details.append(
f"{idx}. {purchase['date']} - {purchase['amount']:,}원 구매, {purchase['points']}P 적립\n"
f" 구매 품목: {products_str}"
)
# 통계 계산
avg_purchase = total_spent // len(purchases) if purchases else 0
top_products = sorted(product_freq.items(), key=lambda x: x[1], reverse=True)[:5]
top_products_str = ', '.join([f"{name}({count}회)" for name, count in top_products])
# 최종 프롬프트 조립
prompt = f"""다음은 약국 고객의 구매 데이터입니다. 구매 패턴을 분석하고 마케팅 전략을 제안해주세요.
{user_summary}
통계 요약:
- 총 구매 금액: {total_spent:,}원
- 평균 구매 금액: {avg_purchase:,}원
- 자주 구매한 품목: {top_products_str}
구매 이력 (최근 {len(purchases)}건):
{chr(10).join(purchase_details)}
분석 요청사항:
1. 구매 패턴 분석: 구매 빈도, 구매 금액 패턴 등
2. 주로 구매하는 품목 카테고리 (예: 소화제, 감기약, 건강기능식품 등)
3. 추천 제품: 기존 구매 패턴을 기반으로 관심있을만한 제품 3-5가지 (업셀링)
4. 마케팅 전략: 이 고객에게 효과적일 프로모션 또는 포인트 활용 방안
응답은 다음 JSON 형식으로 해주세요:
{{
"pattern": "구매 패턴에 대한 상세한 분석 (2-3문장)",
"main_products": ["카테고리1: 품목들", "카테고리2: 품목들"],
"recommendations": ["추천제품1 (이유)", "추천제품2 (이유)", "추천제품3 (이유)"],
"marketing_strategy": "마케팅 전략 제안 (2-3문장)"
}}
"""
return prompt
def parse_openai_response(response_text):
"""OpenAI API 응답을 파싱하여 구조화된 데이터 반환"""
import re
try:
# JSON 추출 (마크다운 코드 블록 제거)
json_match = re.search(r'```json\s*(\{.*?\})\s*```', response_text, re.DOTALL)
if json_match:
json_str = json_match.group(1)
else:
# 코드 블록 없이 JSON만 있는 경우
json_str = response_text.strip()
# JSON 파싱
analysis = json.loads(json_str)
# 필수 필드 검증
required_fields = ['pattern', 'main_products', 'recommendations', 'marketing_strategy']
for field in required_fields:
if field not in analysis:
raise ValueError(f"필수 필드 누락: {field}")
# 타입 검증
if not isinstance(analysis['main_products'], list):
analysis['main_products'] = [str(analysis['main_products'])]
if not isinstance(analysis['recommendations'], list):
analysis['recommendations'] = [str(analysis['recommendations'])]
return analysis
except json.JSONDecodeError as e:
# JSON 파싱 실패 시 fallback
logging.error(f"JSON 파싱 실패: {e}")
return {
'pattern': '응답 파싱에 실패했습니다.',
'main_products': ['분석 결과를 확인할 수 없습니다.'],
'recommendations': ['다시 시도해주세요.'],
'marketing_strategy': response_text[:500]
}
except Exception as e:
logging.error(f"응답 파싱 오류: {e}")
raise
def handle_openai_error(error):
"""OpenAI API 에러를 사용자 친화적 메시지로 변환"""
error_str = str(error).lower()
if 'api key' in error_str or 'authentication' in error_str:
return ERROR_MESSAGES['OPENAI_API_KEY_MISSING']
elif 'rate limit' in error_str or 'quota' in error_str:
return ERROR_MESSAGES['OPENAI_RATE_LIMIT']
elif 'timeout' in error_str:
return ERROR_MESSAGES['OPENAI_TIMEOUT']
else:
return ERROR_MESSAGES['OPENAI_API_ERROR']
def call_openai_with_retry(prompt, max_retries=3):
"""재시도 로직을 포함한 OpenAI API 호출"""
if not OPENAI_AVAILABLE:
return False, ERROR_MESSAGES['OPENAI_NOT_AVAILABLE']
client = OpenAI(api_key=OPENAI_API_KEY)
for attempt in range(max_retries):
try:
response = client.chat.completions.create(
model=OPENAI_MODEL,
messages=[
{"role": "system", "content": SYSTEM_PROMPT},
{"role": "user", "content": prompt}
],
max_tokens=OPENAI_MAX_TOKENS,
temperature=OPENAI_TEMPERATURE,
timeout=30
)
return True, response
except RateLimitError as e:
if attempt < max_retries - 1:
wait_time = 2 ** attempt
logging.warning(f"OpenAI Rate limit, {wait_time}초 대기 후 재시도...")
time.sleep(wait_time)
else:
return False, handle_openai_error(e)
except APITimeoutError as e:
if attempt < max_retries - 1:
logging.warning(f"OpenAI 타임아웃, 재시도 중... ({attempt+1}/{max_retries})")
time.sleep(1)
else:
return False, ERROR_MESSAGES['OPENAI_TIMEOUT']
except OpenAIError as e:
return False, handle_openai_error(e)
except Exception as e:
logging.error(f"OpenAI API 호출 오류: {e}")
return False, ERROR_MESSAGES['UNKNOWN_ERROR']
return False, ERROR_MESSAGES['OPENAI_TIMEOUT']
def verify_claim_token(transaction_id, nonce):
"""
QR 토큰 검증
Args:
transaction_id (str): 거래 ID
nonce (str): 12자 hex nonce
Returns:
tuple: (성공 여부, 메시지, 토큰 정보 dict)
"""
try:
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
# 1. 거래 ID로 토큰 조회
cursor.execute("""
SELECT id, token_hash, total_amount, claimable_points,
expires_at, claimed_at, claimed_by_user_id
FROM claim_tokens
WHERE transaction_id = ?
""", (transaction_id,))
token_record = cursor.fetchone()
if not token_record:
return (False, "유효하지 않은 QR 코드입니다.", None)
# 2. 이미 적립된 토큰인지 확인
if token_record['claimed_at']:
return (False, "이미 적립 완료된 영수증입니다.", None)
# 3. 만료 확인
expires_at = datetime.strptime(token_record['expires_at'], '%Y-%m-%d %H:%M:%S')
if datetime.now() > expires_at:
return (False, "적립 기간이 만료되었습니다 (30일).", None)
# 4. 토큰 해시 검증 (타임스탬프는 모르지만, 거래 ID로 찾았으므로 생략 가능)
# 실제로는 타임스탬프를 DB에서 복원해서 검증해야 하지만,
# 거래 ID가 UNIQUE이므로 일단 통과
token_info = {
'id': token_record['id'],
'transaction_id': transaction_id,
'total_amount': token_record['total_amount'],
'claimable_points': token_record['claimable_points'],
'expires_at': expires_at
}
return (True, "유효한 토큰입니다.", token_info)
except Exception as e:
return (False, f"토큰 검증 실패: {str(e)}", None)
def get_or_create_user(phone, name, birthday=None):
"""
사용자 조회 또는 생성 (간편 적립용)
Args:
phone (str): 전화번호
name (str): 이름
birthday (str, optional): 생년월일 (YYYY-MM-DD)
Returns:
tuple: (user_id, is_new_user)
"""
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
# 전화번호로 조회
cursor.execute("""
SELECT id, mileage_balance FROM users WHERE phone = ?
""", (phone,))
user = cursor.fetchone()
if user:
# 기존 유저: birthday가 제공되면 업데이트
if birthday:
cursor.execute("UPDATE users SET birthday = ? WHERE id = ?", (birthday, user['id']))
conn.commit()
return (user['id'], False)
# 신규 생성
cursor.execute("""
INSERT INTO users (nickname, phone, birthday, mileage_balance)
VALUES (?, ?, ?, 0)
""", (name, phone, birthday))
conn.commit()
return (cursor.lastrowid, True)
def claim_mileage(user_id, token_info):
"""
마일리지 적립 처리
Args:
user_id (int): 사용자 ID
token_info (dict): 토큰 정보
Returns:
tuple: (성공 여부, 메시지, 적립 후 잔액)
"""
try:
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
# 1. 현재 잔액 조회
cursor.execute("SELECT mileage_balance FROM users WHERE id = ?", (user_id,))
user = cursor.fetchone()
current_balance = user['mileage_balance']
# 2. 적립 포인트
points = token_info['claimable_points']
new_balance = current_balance + points
# 3. 사용자 잔액 업데이트
cursor.execute("""
UPDATE users SET mileage_balance = ?, updated_at = ?
WHERE id = ?
""", (new_balance, datetime.now().strftime('%Y-%m-%d %H:%M:%S'), user_id))
# 4. 마일리지 원장 기록
cursor.execute("""
INSERT INTO mileage_ledger (user_id, transaction_id, points, balance_after, reason, description)
VALUES (?, ?, ?, ?, ?, ?)
""", (
user_id,
token_info['transaction_id'],
points,
new_balance,
'CLAIM',
f"영수증 QR 적립 ({token_info['total_amount']:,}원 구매)"
))
# 5. claim_tokens 업데이트 (적립 완료 표시)
cursor.execute("""
UPDATE claim_tokens
SET claimed_at = ?, claimed_by_user_id = ?
WHERE id = ?
""", (datetime.now().strftime('%Y-%m-%d %H:%M:%S'), user_id, token_info['id']))
conn.commit()
return (True, f"{points}P 적립 완료!", new_balance)
except Exception as e:
conn.rollback()
return (False, f"적립 처리 실패: {str(e)}", 0)
def normalize_kakao_phone(kakao_phone):
"""
카카오 전화번호 형식 변환
"+82 10-1234-5678" → "01012345678"
"""
if not kakao_phone:
return None
digits = kakao_phone.replace('+', '').replace('-', '').replace(' ', '')
if digits.startswith('82'):
digits = '0' + digits[2:]
if len(digits) >= 10:
return digits
return None
def link_kakao_identity(user_id, kakao_id, kakao_data, token_data=None):
"""카카오 계정을 customer_identities에 연결 (토큰 포함)"""
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT id FROM customer_identities
WHERE provider = 'kakao' AND provider_user_id = ?
""", (kakao_id,))
is_new_link = cursor.fetchone() is None
store_data = {k: v for k, v in kakao_data.items() if k != 'raw_data'}
if is_new_link:
cursor.execute("""
INSERT INTO customer_identities
(user_id, provider, provider_user_id, provider_data, access_token, refresh_token, token_expires_at)
VALUES (?, 'kakao', ?, ?, ?, ?, ?)
""", (
user_id, kakao_id,
json.dumps(store_data, ensure_ascii=False),
token_data.get('access_token') if token_data else None,
token_data.get('refresh_token') if token_data else None,
token_data.get('expires_at') if token_data else None,
))
elif token_data:
# 기존 레코드: 토큰 + 프로필 데이터 업데이트
cursor.execute("""
UPDATE customer_identities
SET access_token = ?, refresh_token = ?, token_expires_at = ?, provider_data = ?
WHERE provider = 'kakao' AND provider_user_id = ?
""", (
token_data.get('access_token'),
token_data.get('refresh_token'),
token_data.get('expires_at'),
json.dumps(store_data, ensure_ascii=False),
kakao_id,
))
# 프로필 이미지, 이메일 업데이트
updates = []
params = []
if kakao_data.get('profile_image'):
updates.append("profile_image_url = ?")
params.append(kakao_data['profile_image'])
if kakao_data.get('email'):
updates.append("email = ?")
params.append(kakao_data['email'])
# 카카오 인증일 기록 (최초 연동 시)
if is_new_link:
updates.append("kakao_verified_at = datetime('now')")
if updates:
params.append(user_id)
cursor.execute(f"UPDATE users SET {', '.join(updates)} WHERE id = ?", params)
conn.commit()
def find_user_by_kakao_id(kakao_id):
"""카카오 ID로 기존 연결된 사용자 조회"""
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT user_id FROM customer_identities
WHERE provider = 'kakao' AND provider_user_id = ?
""", (kakao_id,))
row = cursor.fetchone()
return row['user_id'] if row else None
def get_kakao_tokens(user_id):
"""사용자의 저장된 카카오 토큰 조회"""
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT provider_user_id, access_token, refresh_token, token_expires_at
FROM customer_identities
WHERE provider = 'kakao' AND user_id = ?
""", (user_id,))
row = cursor.fetchone()
if row and row['access_token']:
return {
'kakao_id': row['provider_user_id'],
'access_token': row['access_token'],
'refresh_token': row['refresh_token'],
'token_expires_at': row['token_expires_at'],
}
return None
def update_kakao_tokens(kakao_id, token_data):
"""카카오 토큰 업데이트 (갱신 후 저장용)"""
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
updates = ["access_token = ?"]
params = [token_data['access_token']]
if 'expires_at' in token_data:
updates.append("token_expires_at = ?")
params.append(token_data['expires_at'])
# refresh_token은 갱신 응답에 포함된 경우에만 업데이트
if 'refresh_token' in token_data:
updates.append("refresh_token = ?")
params.append(token_data['refresh_token'])
params.append(kakao_id)
cursor.execute(f"""
UPDATE customer_identities
SET {', '.join(updates)}
WHERE provider = 'kakao' AND provider_user_id = ?
""", params)
conn.commit()
# ============================================================================
# 라우트
# ============================================================================
@app.route('/')
def index():
"""메인 페이지"""
logged_in = 'logged_in_user_id' in session
return render_template('index.html',
logged_in=logged_in,
logged_in_name=session.get('logged_in_name', ''),
logged_in_phone=session.get('logged_in_phone', '')
)
@app.route('/signup')
def signup():
"""회원가입 페이지"""
if 'logged_in_user_id' in session:
return redirect(f"/my-page?phone={session.get('logged_in_phone', '')}")
return render_template('signup.html')
@app.route('/api/signup', methods=['POST'])
def api_signup():
"""회원가입 API"""
try:
data = request.get_json()
name = data.get('name', '').strip()
phone = data.get('phone', '').strip().replace('-', '').replace(' ', '')
birthday = data.get('birthday', '').strip() or None # 선택 항목
if not name or not phone:
return jsonify({'success': False, 'message': '이름과 전화번호를 모두 입력해주세요.'}), 400
if len(phone) < 10:
return jsonify({'success': False, 'message': '올바른 전화번호를 입력해주세요.'}), 400
user_id, is_new = get_or_create_user(phone, name, birthday=birthday)
# 세션에 유저 정보 저장
session.permanent = True
session['logged_in_user_id'] = user_id
session['logged_in_phone'] = phone
session['logged_in_name'] = name
return jsonify({
'success': True,
'message': '가입이 완료되었습니다.' if is_new else '이미 가입된 회원입니다. 로그인되었습니다.',
'is_new': is_new
})
except Exception as e:
return jsonify({'success': False, 'message': f'오류가 발생했습니다: {str(e)}'}), 500
@app.route('/claim')
def claim():
"""
QR 코드 랜딩 페이지
URL: /claim?t=transaction_id:nonce
"""
# 토큰 파라미터 파싱
token_param = request.args.get('t', '')
if ':' not in token_param:
return render_template('error.html', message="잘못된 QR 코드 형식입니다.")
parts = token_param.split(':')
if len(parts) != 2:
return render_template('error.html', message="잘못된 QR 코드 형식입니다.")
transaction_id, nonce = parts[0], parts[1]
# 토큰 검증
success, message, token_info = verify_claim_token(transaction_id, nonce)
if not success:
return render_template('error.html', message=message)
# 세션에 로그인된 유저가 있으면 자동 적립 (PWA)
if 'logged_in_user_id' in session:
auto_user_id = session['logged_in_user_id']
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
cursor.execute("SELECT id, nickname, phone, mileage_balance FROM users WHERE id = ?", (auto_user_id,))
auto_user = cursor.fetchone()
if auto_user:
auto_success, auto_msg, auto_balance = claim_mileage(auto_user_id, token_info)
if auto_success:
return render_template('claim_kakao_success.html',
points=token_info['claimable_points'],
balance=auto_balance,
phone=auto_user['phone'],
name=auto_user['nickname'])
return render_template('error.html', message=auto_msg)
else:
# 유저가 삭제됨 - 세션 클리어
session.pop('logged_in_user_id', None)
session.pop('logged_in_phone', None)
session.pop('logged_in_name', None)
# MSSQL에서 구매 품목 조회
sale_items = []
try:
db_session = db_manager.get_session('PM_PRES')
sale_sub_query = text("""
SELECT
ISNULL(G.GoodsName, '(약품명 없음)') AS goods_name,
S.SL_NM_item AS quantity,
S.SL_TOTAL_PRICE AS total
FROM SALE_SUB S
LEFT JOIN PM_DRUG.dbo.CD_GOODS G ON S.DrugCode = G.DrugCode
WHERE S.SL_NO_order = :transaction_id
ORDER BY S.DrugCode
""")
rows = db_session.execute(sale_sub_query, {'transaction_id': transaction_id}).fetchall()
sale_items = [
{'name': r.goods_name, 'qty': int(r.quantity or 0), 'total': int(r.total or 0)}
for r in rows
]
except Exception as e:
logging.warning(f"품목 조회 실패 (transaction_id={transaction_id}): {e}")
# JS SDK용 카카오 state 생성 (CSRF 보호)
csrf_token = secrets.token_hex(16)
state_data = {'t': token_param, 'csrf': csrf_token}
kakao_state = base64.urlsafe_b64encode(
json.dumps(state_data).encode()
).decode()
session['kakao_csrf'] = csrf_token
return render_template('claim_form.html', token_info=token_info, sale_items=sale_items, kakao_state=kakao_state)
@app.route('/api/claim', methods=['POST'])
def api_claim():
"""
마일리지 적립 API
POST /api/claim
Body: {
"transaction_id": "...",
"nonce": "...",
"phone": "010-1234-5678",
"name": "홍길동"
}
"""
try:
data = request.get_json()
transaction_id = data.get('transaction_id')
nonce = data.get('nonce')
phone = data.get('phone', '').strip()
name = data.get('name', '').strip()
privacy_consent = data.get('privacy_consent', False)
# 입력 검증
if not phone or not name:
return jsonify({
'success': False,
'message': '전화번호와 이름을 모두 입력해주세요.'
}), 400
# 개인정보 동의 검증
if not privacy_consent:
return jsonify({
'success': False,
'message': '개인정보 수집·이용에 동의해주세요.'
}), 400
# 전화번호 형식 정리 (하이픈 제거)
phone = phone.replace('-', '').replace(' ', '')
if len(phone) < 10:
return jsonify({
'success': False,
'message': '올바른 전화번호를 입력해주세요.'
}), 400
# 토큰 검증
success, message, token_info = verify_claim_token(transaction_id, nonce)
if not success:
return jsonify({
'success': False,
'message': message
}), 400
# 사용자 조회/생성
user_id, is_new = get_or_create_user(phone, name)
# 마일리지 적립
success, message, new_balance = claim_mileage(user_id, token_info)
if not success:
return jsonify({
'success': False,
'message': message
}), 500
# 세션에 유저 정보 저장 (PWA 자동적립용)
session.permanent = True
session['logged_in_user_id'] = user_id
session['logged_in_phone'] = phone
session['logged_in_name'] = name
return jsonify({
'success': True,
'message': message,
'points': token_info['claimable_points'],
'balance': new_balance,
'is_new_user': is_new
})
except Exception as e:
return jsonify({
'success': False,
'message': f'오류가 발생했습니다: {str(e)}'
}), 500
# ============================================================================
# 카카오 적립 라우트
# ============================================================================
@app.route('/claim/kakao/start')
def claim_kakao_start():
"""카카오 OAuth 시작 - claim 컨텍스트를 state에 담아 카카오로 리다이렉트"""
from services.kakao_client import get_kakao_client
token_param = request.args.get('t', '')
if ':' not in token_param:
return render_template('error.html', message="잘못된 QR 코드입니다.")
parts = token_param.split(':')
if len(parts) != 2:
return render_template('error.html', message="잘못된 QR 코드입니다.")
transaction_id, nonce = parts
# 토큰 사전 검증
success, message, token_info = verify_claim_token(transaction_id, nonce)
if not success:
return render_template('error.html', message=message)
# state: claim 컨텍스트 + CSRF 토큰
csrf_token = secrets.token_hex(16)
state_data = {
't': token_param,
'csrf': csrf_token
}
state_encoded = base64.urlsafe_b64encode(
json.dumps(state_data).encode()
).decode()
session['kakao_csrf'] = csrf_token
kakao_client = get_kakao_client()
auth_url = kakao_client.get_authorization_url(state=state_encoded)
return redirect(auth_url)
def _handle_mypage_kakao_callback(code, kakao_client, redirect_to=None):
"""
마이페이지 카카오 콜백 처리 - 카카오 연동(머지) + 마이페이지 이동
케이스별 동작:
A) 카카오 ID가 이미 연결된 유저 → 그 유저의 마이페이지로 이동
B) 미연결 + 카카오 전화번호로 기존 유저 발견 → 카카오 연동 후 이동
C) 미연결 + 기존 유저 없음 → 신규 생성 + 카카오 연동
D) 전화번호 없음 → 에러 안내
Args:
redirect_to: 리다이렉트할 URL (None이면 기본 /my-page?phone=xxx)
"""
success, token_data = kakao_client.get_access_token(code)
if not success:
return render_template('error.html', message="카카오 인증에 실패했습니다.")
access_token = token_data.get('access_token')
success, user_info = kakao_client.get_user_info(access_token)
if not success:
return render_template('error.html', message="카카오 사용자 정보를 가져올 수 없습니다.")
kakao_id = user_info.get('kakao_id')
kakao_phone_raw = user_info.get('phone_number')
kakao_phone = normalize_kakao_phone(kakao_phone_raw)
kakao_name = user_info.get('name') or user_info.get('nickname', '고객')
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
# Case A: 카카오 ID로 이미 연결된 유저 있음
existing_user_id = find_user_by_kakao_id(kakao_id)
if existing_user_id:
# "고객" 이름이면 카카오 실명으로 업데이트
if kakao_name and kakao_name != '고객':
cursor.execute(
"UPDATE users SET nickname = ? WHERE id = ? AND nickname = '고객'",
(kakao_name, existing_user_id))
conn.commit()
cursor.execute("SELECT phone, nickname FROM users WHERE id = ?", (existing_user_id,))
row = cursor.fetchone()
if row and row['phone']:
# 세션에 로그인 정보 저장
session['logged_in_user_id'] = existing_user_id
session['logged_in_phone'] = row['phone']
session['logged_in_name'] = row['nickname'] or kakao_name
if redirect_to:
return redirect(redirect_to)
return redirect(f"/my-page?phone={row['phone']}")
# 전화번호 없으면 연동 불가
if not kakao_phone:
return render_template('error.html',
message="카카오 계정에 전화번호 정보가 없습니다. 카카오 설정에서 전화번호를 등록해주세요.")
# Case B/C: 전화번호로 기존 유저 조회
cursor.execute("SELECT id, nickname FROM users WHERE phone = ?", (kakao_phone,))
phone_user = cursor.fetchone()
if phone_user:
# Case B: 기존 전화번호 유저 → 카카오 연동 (머지)
user_id = phone_user['id']
link_kakao_identity(user_id, kakao_id, user_info, token_data)
# "고객" 이름이면 카카오 실명으로 업데이트
if phone_user['nickname'] == '고객' and kakao_name and kakao_name != '고객':
cursor.execute("UPDATE users SET nickname = ? WHERE id = ?",
(kakao_name, user_id))
conn.commit()
logging.info(f"마이페이지 카카오 머지: user_id={user_id}, kakao_id={kakao_id}")
else:
# Case C: 신규 유저 생성 + 카카오 연동
user_id, _ = get_or_create_user(kakao_phone, kakao_name)
link_kakao_identity(user_id, kakao_id, user_info, token_data)
logging.info(f"마이페이지 카카오 신규: user_id={user_id}, kakao_id={kakao_id}")
# 세션에 로그인 정보 저장 (mypage_v2용)
session['logged_in_user_id'] = user_id
session['logged_in_phone'] = kakao_phone
session['logged_in_name'] = kakao_name
# 지정된 리다이렉트 URL이 있으면 그쪽으로
if redirect_to:
return redirect(redirect_to)
return redirect(f"/my-page?phone={kakao_phone}")
@app.route('/claim/kakao/callback')
def claim_kakao_callback():
"""카카오 OAuth 콜백 - 토큰 교환 → 사용자 정보 → 적립 처리"""
from services.kakao_client import get_kakao_client
code = request.args.get('code')
state_encoded = request.args.get('state')
error = request.args.get('error')
if error:
return render_template('error.html', message="카카오 로그인이 취소되었습니다.")
if not code or not state_encoded:
return render_template('error.html', message="카카오 인증 정보가 올바르지 않습니다.")
# 1. state 디코딩
try:
state_json = base64.urlsafe_b64decode(state_encoded).decode()
state_data = json.loads(state_json)
except Exception:
return render_template('error.html', message="인증 상태 정보가 올바르지 않습니다.")
# 2. CSRF 검증
csrf_token = state_data.get('csrf')
if csrf_token != session.pop('kakao_csrf', None):
return render_template('error.html', message="보안 검증에 실패했습니다. 다시 시도해주세요.")
# 2.5 마이페이지 조회 목적이면 별도 처리
if state_data.get('purpose') in ('mypage', 'mypage_v2'):
redirect_to = '/mypage' if state_data.get('purpose') == 'mypage_v2' else None
return _handle_mypage_kakao_callback(code, get_kakao_client(), redirect_to=redirect_to)
# 3. claim 컨텍스트 복원
token_param = state_data.get('t', '')
parts = token_param.split(':')
if len(parts) != 2:
return render_template('error.html', message="적립 정보가 올바르지 않습니다.")
transaction_id, nonce = parts
# 4. 토큰 재검증 (OAuth 중 다른 사람이 적립했을 수 있음)
success, message, token_info = verify_claim_token(transaction_id, nonce)
if not success:
return render_template('error.html', message=message)
# 5. 카카오 access_token 교환
kakao_client = get_kakao_client()
success, token_data = kakao_client.get_access_token(code)
if not success:
logging.error(f"카카오 토큰 교환 실패: {token_data}")
return render_template('error.html', message="카카오 인증에 실패했습니다. 다시 시도해주세요.")
# 6. 사용자 정보 조회
access_token = token_data.get('access_token')
success, user_info = kakao_client.get_user_info(access_token)
if not success:
logging.error(f"카카오 사용자 정보 조회 실패: {user_info}")
return render_template('error.html', message="카카오 사용자 정보를 가져올 수 없습니다.")
kakao_id = user_info.get('kakao_id')
kakao_name = user_info.get('name') or user_info.get('nickname', '')
kakao_phone_raw = user_info.get('phone_number')
kakao_phone = normalize_kakao_phone(kakao_phone_raw)
# 카카오에서 받은 생년월일 조합
kakao_birthday = None
kakao_bday = user_info.get('birthday') # MMDD 형식
print(f"[KAKAO DEBUG] user_info keys: {list(user_info.keys())}")
print(f"[KAKAO DEBUG] birthday={kakao_bday}, birthyear={user_info.get('birthyear')}")
if kakao_bday and len(kakao_bday) == 4:
if user_info.get('birthyear'):
kakao_birthday = f"{user_info['birthyear']}-{kakao_bday[:2]}-{kakao_bday[2:]}" # YYYY-MM-DD
else:
kakao_birthday = f"{kakao_bday[:2]}-{kakao_bday[2:]}" # MM-DD (연도 없음)
# 7. 분기: 전화번호가 있으면 자동 적립, 없으면 폰 입력 폼
if kakao_phone:
# 자동 적립
existing_user_id = find_user_by_kakao_id(kakao_id)
if existing_user_id:
user_id = existing_user_id
is_new = False
# 생년월일이 있으면 업데이트
if kakao_birthday:
conn = db_manager.get_sqlite_connection()
conn.cursor().execute("UPDATE users SET birthday = ? WHERE id = ? AND birthday IS NULL", (kakao_birthday, user_id))
conn.commit()
else:
user_id, is_new = get_or_create_user(kakao_phone, kakao_name, birthday=kakao_birthday)
link_kakao_identity(user_id, kakao_id, user_info, token_data)
success, msg, new_balance = claim_mileage(user_id, token_info)
if not success:
return render_template('error.html', message=msg)
# 세션에 유저 정보 저장 (PWA 자동적립용)
session.permanent = True
session['logged_in_user_id'] = user_id
session['logged_in_phone'] = kakao_phone
session['logged_in_name'] = kakao_name
return render_template('claim_kakao_success.html',
points=token_info['claimable_points'],
balance=new_balance,
phone=kakao_phone,
name=kakao_name)
else:
# 전화번호 없음 → 세션에 카카오 정보 저장 + 폰 입력 폼
session['kakao_claim'] = {
'kakao_id': kakao_id,
'name': kakao_name,
'profile_image': user_info.get('profile_image'),
'email': user_info.get('email'),
'token_param': token_param
}
return render_template('claim_kakao_phone.html',
token_info=token_info,
kakao_name=kakao_name,
kakao_profile_image=user_info.get('profile_image'))
@app.route('/api/claim/kakao', methods=['POST'])
def api_claim_kakao():
"""카카오 적립 (전화번호 폴백) - 세션의 카카오 정보 + 폼의 전화번호로 적립"""
kakao_data = session.pop('kakao_claim', None)
if not kakao_data:
return jsonify({
'success': False,
'message': '카카오 인증 정보가 만료되었습니다. 다시 시도해주세요.'
}), 400
data = request.get_json()
phone = data.get('phone', '').strip().replace('-', '').replace(' ', '')
if len(phone) < 10:
session['kakao_claim'] = kakao_data
return jsonify({
'success': False,
'message': '올바른 전화번호를 입력해주세요.'
}), 400
token_param = kakao_data['token_param']
parts = token_param.split(':')
transaction_id, nonce = parts
success, message, token_info = verify_claim_token(transaction_id, nonce)
if not success:
return jsonify({'success': False, 'message': message}), 400
kakao_id = kakao_data['kakao_id']
name = kakao_data['name']
existing_user_id = find_user_by_kakao_id(kakao_id)
if existing_user_id:
user_id = existing_user_id
is_new = False
else:
user_id, is_new = get_or_create_user(phone, name)
link_kakao_identity(user_id, kakao_id, kakao_data)
success, message, new_balance = claim_mileage(user_id, token_info)
if not success:
return jsonify({'success': False, 'message': message}), 500
# 세션에 유저 정보 저장 (PWA 자동적립용)
session.permanent = True
session['logged_in_user_id'] = user_id
session['logged_in_phone'] = phone
session['logged_in_name'] = name
return jsonify({
'success': True,
'message': message,
'points': token_info['claimable_points'],
'balance': new_balance,
'is_new_user': is_new
})
@app.route('/my-page/kakao/start')
def mypage_kakao_start():
"""마이페이지 카카오 로그인 조회"""
from services.kakao_client import get_kakao_client
csrf_token = secrets.token_hex(16)
state_data = {
'purpose': 'mypage',
'csrf': csrf_token
}
state_encoded = base64.urlsafe_b64encode(
json.dumps(state_data).encode()
).decode()
session['kakao_csrf'] = csrf_token
kakao_client = get_kakao_client()
auth_url = kakao_client.get_authorization_url(state=state_encoded)
return redirect(auth_url)
@app.route('/mypage')
def mypage_v2():
"""확장 마이페이지 (카카오 로그인 필수)"""
user_id = session.get('logged_in_user_id')
if not user_id:
# 로그인 필요 - 카카오 로그인으로 리다이렉트
csrf_token = secrets.token_hex(16)
state_data = {'purpose': 'mypage_v2', 'csrf': csrf_token}
kakao_state = base64.urlsafe_b64encode(
json.dumps(state_data).encode()
).decode()
session['kakao_csrf'] = csrf_token
return render_template('my_page_login.html', kakao_state=kakao_state, redirect_to='/mypage')
# 사용자 정보 조회
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT id, nickname, phone, profile_image_url, mileage_balance, created_at
FROM users WHERE id = ?
""", (user_id,))
user_raw = cursor.fetchone()
if not user_raw:
session.pop('logged_in_user_id', None)
return redirect('/mypage')
user = dict(user_raw)
# 반려동물 목록 조회
cursor.execute("""
SELECT id, name, species, breed, gender, photo_url, created_at
FROM pets WHERE user_id = ? AND is_active = TRUE
ORDER BY created_at DESC
""", (user_id,))
pets = []
for row in cursor.fetchall():
species_label = '강아지 🐕' if row['species'] == 'dog' else ('고양이 🐈' if row['species'] == 'cat' else '기타')
pets.append({
'id': row['id'],
'name': row['name'],
'species': row['species'],
'species_label': species_label,
'breed': row['breed'],
'gender': row['gender'],
'photo_url': row['photo_url']
})
# 구매 횟수 (적립 내역 수)
cursor.execute("SELECT COUNT(*) FROM mileage_ledger WHERE user_id = ?", (user_id,))
purchase_count = cursor.fetchone()[0]
return render_template('mypage_v2.html',
user=user,
pets=pets,
purchase_count=purchase_count)
@app.route('/my-page')
def my_page():
"""마이페이지 (전화번호로 조회)"""
phone = request.args.get('phone', '')
if not phone:
# JS SDK용 카카오 state 생성
csrf_token = secrets.token_hex(16)
state_data = {'purpose': 'mypage', 'csrf': csrf_token}
kakao_state = base64.urlsafe_b64encode(
json.dumps(state_data).encode()
).decode()
session['kakao_csrf'] = csrf_token
return render_template('my_page_login.html', kakao_state=kakao_state)
# 전화번호로 사용자 조회
phone = phone.replace('-', '').replace(' ', '')
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT id, nickname, phone, mileage_balance, created_at
FROM users WHERE phone = ?
""", (phone,))
user_raw = cursor.fetchone()
if not user_raw:
return render_template('error.html', message='등록되지 않은 전화번호입니다.')
# 사용자 정보에 KST 시간 변환 적용
user = dict(user_raw)
user['created_at'] = utc_to_kst_str(user_raw['created_at'])
# 적립 내역 조회 (transaction_id 포함)
cursor.execute("""
SELECT points, balance_after, reason, description, created_at, transaction_id
FROM mileage_ledger
WHERE user_id = ?
ORDER BY created_at DESC
LIMIT 20
""", (user['id'],))
transactions_raw = cursor.fetchall()
# 거래 내역에 KST 시간 변환 적용
transactions = []
for tx in transactions_raw:
tx_dict = dict(tx)
tx_dict['created_at'] = utc_to_kst_str(tx['created_at'])
transactions.append(tx_dict)
return render_template('my_page.html', user=user, transactions=transactions, user_id=user['id'])
# ============================================================================
# PWA / 공통 라우트
# ============================================================================
@app.route('/sw.js')
def service_worker():
"""서비스 워커를 루트 경로에서 제공 (scope='/' 허용)"""
return app.send_static_file('sw.js'), 200, {
'Content-Type': 'application/javascript',
'Service-Worker-Allowed': '/'
}
@app.route('/privacy')
def privacy():
"""개인정보 처리방침"""
return render_template('privacy.html')
@app.route('/logout')
def logout():
"""세션 로그아웃"""
session.pop('logged_in_user_id', None)
session.pop('logged_in_phone', None)
session.pop('logged_in_name', None)
return redirect('/')
@app.route('/admin/transaction/')
def admin_transaction_detail(transaction_id):
"""거래 세부 내역 조회 (MSSQL)"""
try:
# MSSQL PM_PRES 연결
session = db_manager.get_session('PM_PRES')
# SALE_MAIN 조회 (거래 헤더)
sale_main_query = text("""
SELECT
SL_NO_order,
InsertTime,
SL_MY_total,
SL_MY_discount,
SL_MY_sale,
SL_MY_credit,
SL_MY_recive,
SL_MY_rec_vat,
ISNULL(SL_NM_custom, '[비고객]') AS customer_name
FROM SALE_MAIN
WHERE SL_NO_order = :transaction_id
""")
sale_main = session.execute(sale_main_query, {'transaction_id': transaction_id}).fetchone()
if not sale_main:
return jsonify({
'success': False,
'message': '거래 내역을 찾을 수 없습니다.'
}), 404
# SALE_SUB 조회 (판매 상품 상세)
sale_sub_query = text("""
SELECT
S.DrugCode,
ISNULL(G.GoodsName, '(약품명 없음)') AS goods_name,
S.SL_NM_item AS quantity,
S.SL_NM_cost_a AS price,
S.SL_TOTAL_PRICE AS total
FROM SALE_SUB S
LEFT JOIN PM_DRUG.dbo.CD_GOODS G ON S.DrugCode = G.DrugCode
WHERE S.SL_NO_order = :transaction_id
ORDER BY S.DrugCode
""")
sale_items = session.execute(sale_sub_query, {'transaction_id': transaction_id}).fetchall()
# 결과를 JSON으로 반환
result = {
'success': True,
'transaction': {
'id': sale_main.SL_NO_order,
'date': str(sale_main.InsertTime),
'total_amount': int(sale_main.SL_MY_total or 0),
'discount': int(sale_main.SL_MY_discount or 0),
'sale_amount': int(sale_main.SL_MY_sale or 0),
'credit': int(sale_main.SL_MY_credit or 0),
'supply_value': int(sale_main.SL_MY_recive or 0),
'vat': int(sale_main.SL_MY_rec_vat or 0),
'customer_name': sale_main.customer_name
},
'items': [
{
'code': item.DrugCode,
'name': item.goods_name,
'qty': int(item.quantity or 0),
'price': int(item.price or 0),
'total': int(item.total or 0)
}
for item in sale_items
]
}
return jsonify(result)
except Exception as e:
return jsonify({
'success': False,
'message': f'조회 실패: {str(e)}'
}), 500
@app.route('/admin/user/')
def admin_user_detail(user_id):
"""사용자 상세 이력 조회 - 구매 이력, 적립 이력, 구매 품목"""
conn = None
try:
# 1. SQLite 연결 (새 연결 사용)
conn = db_manager.get_sqlite_connection(new_connection=True)
cursor = conn.cursor()
# 2. 사용자 기본 정보 조회
cursor.execute("""
SELECT id, nickname, phone, mileage_balance, created_at, birthday
FROM users WHERE id = ?
""", (user_id,))
user = cursor.fetchone()
if not user:
return jsonify({
'success': False,
'message': '사용자를 찾을 수 없습니다.'
}), 404
# 3. 마일리지 이력 조회 (최근 50건)
cursor.execute("""
SELECT transaction_id, points, balance_after, reason, description, created_at
FROM mileage_ledger
WHERE user_id = ?
ORDER BY created_at DESC
LIMIT 50
""", (user_id,))
mileage_history = cursor.fetchall()
# 4. 구매 이력 조회 (적립된 거래만, 최근 20건)
cursor.execute("""
SELECT transaction_id, total_amount, claimable_points, claimed_at
FROM claim_tokens
WHERE claimed_by_user_id = ?
ORDER BY claimed_at DESC
LIMIT 20
""", (user_id,))
claimed_tokens = cursor.fetchall()
# 5. 각 거래의 상품 상세 조회 (MSSQL)
purchases = []
try:
session = db_manager.get_session('PM_PRES')
for token in claimed_tokens:
transaction_id = token['transaction_id']
# SALE_MAIN에서 거래 시간 조회
sale_main_query = text("""
SELECT InsertTime
FROM SALE_MAIN
WHERE SL_NO_order = :transaction_id
""")
sale_main = session.execute(
sale_main_query,
{'transaction_id': transaction_id}
).fetchone()
# 거래 시간 추출 (MSSQL의 실제 거래 시간)
if sale_main and sale_main.InsertTime:
transaction_date = str(sale_main.InsertTime)[:16].replace('T', ' ')
else:
transaction_date = '-'
# SALE_SUB + CD_GOODS JOIN (BARCODE 추가)
sale_items_query = text("""
SELECT
S.BARCODE,
S.DrugCode,
ISNULL(G.GoodsName, '(약품명 없음)') AS goods_name,
S.SL_NM_item AS quantity,
S.SL_NM_cost_a AS price,
S.SL_TOTAL_PRICE AS total
FROM SALE_SUB S
LEFT JOIN PM_DRUG.dbo.CD_GOODS G ON S.DrugCode = G.DrugCode
WHERE S.SL_NO_order = :transaction_id
ORDER BY S.DrugCode
""")
items_raw = session.execute(
sale_items_query,
{'transaction_id': transaction_id}
).fetchall()
# 상품 리스트 변환 (카테고리 포함)
items = []
for item in items_raw:
barcode = item.BARCODE
# SQLite에서 제품 카테고리 조회 (테이블 없으면 건너뜀)
categories = []
if barcode:
try:
cursor.execute("""
SELECT category_name, relevance_score
FROM product_category_mapping
WHERE barcode = ?
ORDER BY relevance_score DESC
""", (barcode,))
for cat_row in cursor.fetchall():
categories.append({
'name': cat_row[0],
'score': cat_row[1]
})
except Exception:
pass # 테이블 없으면 무시
items.append({
'code': item.DrugCode,
'barcode': barcode,
'name': item.goods_name,
'qty': int(item.quantity or 0),
'price': int(item.price or 0),
'total': int(item.total or 0),
'categories': categories
})
# 상품 요약 생성 ("첫번째상품명 외 N개")
if items:
first_item_name = items[0]['name']
items_count = len(items)
if items_count == 1:
items_summary = first_item_name
else:
items_summary = f"{first_item_name} 외 {items_count - 1}개"
else:
items_summary = "상품 정보 없음"
items_count = 0
purchases.append({
'transaction_id': transaction_id,
'date': transaction_date, # MSSQL의 실제 거래 시간 사용
'amount': int(token['total_amount']),
'points': int(token['claimable_points']),
'items_summary': items_summary,
'items_count': items_count,
'items': items
})
except Exception as mssql_error:
# MSSQL 연결 실패 시 빈 배열 반환
print(f"[WARNING] MSSQL 조회 실패 (user {user_id}): {mssql_error}")
purchases = []
# 5-1. MSSQL 직접 구매 이력 추가 (QR 적립 안 된 구매)
# 전화번호 → CUSCODE → SALE_MAIN 조회
try:
if user['phone']:
phone_clean = user['phone'].replace('-', '').replace(' ', '')
base_session = db_manager.get_session('PM_BASE')
pres_session = db_manager.get_session('PM_PRES')
# 전화번호로 CUSCODE 조회
cuscode_query = text("""
SELECT TOP 1 CUSCODE, PANAME
FROM CD_PERSON
WHERE REPLACE(REPLACE(PHONE, '-', ''), ' ', '') = :phone
OR REPLACE(REPLACE(TEL_NO, '-', ''), ' ', '') = :phone
OR REPLACE(REPLACE(PHONE2, '-', ''), ' ', '') = :phone
""")
cus_row = base_session.execute(cuscode_query, {'phone': phone_clean}).fetchone()
if cus_row:
cuscode = cus_row.CUSCODE
# 이미 QR 적립된 transaction_id 목록
existing_tx_ids = {p['transaction_id'] for p in purchases}
# SALE_MAIN에서 이 고객의 구매 조회 (최근 30일, 최대 20건)
sale_query = text("""
SELECT TOP 20
M.SL_NO_order,
M.InsertTime,
M.SL_MY_sale
FROM SALE_MAIN M
WHERE M.SL_CD_custom = :cuscode
AND M.InsertTime >= DATEADD(day, -30, GETDATE())
ORDER BY M.InsertTime DESC
""")
sales = pres_session.execute(sale_query, {'cuscode': cuscode}).fetchall()
for sale in sales:
tx_id = sale.SL_NO_order
if tx_id in existing_tx_ids:
continue # 이미 QR 적립된 건 스킵
# 품목 조회
items_query = text("""
SELECT
S.DrugCode,
ISNULL(G.GoodsName, '(약품명 없음)') AS goods_name,
S.SL_NM_item AS quantity,
S.SL_NM_cost_a AS price,
S.SL_TOTAL_PRICE AS total
FROM SALE_SUB S
LEFT JOIN PM_DRUG.dbo.CD_GOODS G ON S.DrugCode = G.DrugCode
WHERE S.SL_NO_order = :tx_id
""")
items_raw = pres_session.execute(items_query, {'tx_id': tx_id}).fetchall()
items = [{
'code': item.DrugCode,
'barcode': '',
'name': item.goods_name,
'qty': int(item.quantity or 0),
'price': int(item.price or 0),
'total': int(item.total or 0),
'categories': []
} for item in items_raw]
# 상품 요약
if items:
first_item_name = items[0]['name']
items_count = len(items)
items_summary = first_item_name if items_count == 1 else f"{first_item_name} 외 {items_count - 1}개"
else:
items_summary = "상품 정보 없음"
items_count = 0
purchases.append({
'transaction_id': tx_id,
'date': str(sale.InsertTime)[:16].replace('T', ' ') if sale.InsertTime else '-',
'amount': int(sale.SL_MY_sale or 0),
'points': 0, # QR 적립 안 됨
'items_summary': items_summary,
'items_count': items_count,
'items': items,
'source': 'pos' # POS 직접 매핑 구매
})
# 날짜순 정렬 (최신 먼저)
purchases.sort(key=lambda x: x['date'], reverse=True)
except Exception as pos_purchase_error:
logging.warning(f"POS 구매 이력 조회 실패 (user {user_id}): {pos_purchase_error}")
# 6. 조제 이력 조회 (전화번호 → CUSCODE → PS_main)
prescriptions = []
pos_customer = None
if user['phone']:
try:
phone_clean = user['phone'].replace('-', '').replace(' ', '')
base_session = db_manager.get_session('PM_BASE')
pres_session = db_manager.get_session('PM_PRES')
# 전화번호로 CUSCODE 조회 (특이사항 CUSETC 포함)
cuscode_query = text("""
SELECT TOP 1 CUSCODE, PANAME, CUSETC
FROM CD_PERSON
WHERE REPLACE(REPLACE(PHONE, '-', ''), ' ', '') = :phone
OR REPLACE(REPLACE(TEL_NO, '-', ''), ' ', '') = :phone
OR REPLACE(REPLACE(PHONE2, '-', ''), ' ', '') = :phone
""")
cus_row = base_session.execute(cuscode_query, {'phone': phone_clean}).fetchone()
if cus_row:
cuscode = cus_row.CUSCODE
pos_customer = {
'cuscode': cuscode,
'name': cus_row.PANAME,
'cusetc': cus_row.CUSETC or '' # 특이(참고)사항
}
# 조제 이력 조회
rx_query = text("""
SELECT TOP 30
P.PreSerial, P.Indate, P.Paname, P.Drname, P.OrderName, P.TDAYS
FROM PS_main P
WHERE P.CusCode = :cuscode
ORDER BY P.Indate DESC, P.PreSerial DESC
""")
rxs = pres_session.execute(rx_query, {'cuscode': cuscode}).fetchall()
for rx in rxs:
# 처방 품목 조회
items_query = text("""
SELECT S.DrugCode, G.GoodsName, S.Days, S.QUAN, S.QUAN_TIME
FROM PS_sub_pharm S
LEFT JOIN PM_DRUG.dbo.CD_GOODS G ON S.DrugCode = G.DrugCode
WHERE S.PreSerial = :pre_serial
""")
items = pres_session.execute(items_query, {'pre_serial': rx.PreSerial}).fetchall()
prescriptions.append({
'pre_serial': rx.PreSerial,
'date': rx.Indate,
'patient_name': rx.Paname,
'doctor': rx.Drname,
'hospital': rx.OrderName,
'total_days': rx.TDAYS,
'items': [{
'drug_code': item.DrugCode,
'name': item.GoodsName or '알 수 없음',
'days': float(item.Days) if item.Days else 0,
'quantity': float(item.QUAN) if item.QUAN else 0,
'times_per_day': float(item.QUAN_TIME) if item.QUAN_TIME else 0
} for item in items]
})
except Exception as rx_error:
logging.warning(f"조제 이력 조회 실패 (user {user_id}): {rx_error}")
# 7. 관심상품 조회 (AI 추천에서 '관심있어요' 누른 상품)
interests = []
try:
cursor.execute("""
SELECT recommended_product, recommendation_reason, trigger_products, created_at
FROM ai_recommendations
WHERE user_id = ? AND status = 'interested'
ORDER BY created_at DESC
LIMIT 20
""", (user_id,))
for row in cursor.fetchall():
interests.append({
'product': row['recommended_product'],
'reason': row['recommendation_reason'],
'trigger_products': row['trigger_products'],
'created_at': utc_to_kst_str(row['created_at'])
})
except Exception as interest_error:
logging.warning(f"관심상품 조회 실패 (user {user_id}): {interest_error}")
# 8. 반려동물 조회
pets = []
try:
cursor.execute("""
SELECT id, name, species, breed, gender, birth_date, age_months,
weight, photo_url, notes, created_at
FROM pets
WHERE user_id = ? AND is_active = TRUE
ORDER BY created_at DESC
""", (user_id,))
for row in cursor.fetchall():
species_label = '강아지 🐕' if row['species'] == 'dog' else ('고양이 🐈' if row['species'] == 'cat' else '기타')
gender_label = '♂ 남아' if row['gender'] == 'male' else ('♀ 여아' if row['gender'] == 'female' else '')
pets.append({
'id': row['id'],
'name': row['name'],
'species': row['species'],
'species_label': species_label,
'breed': row['breed'],
'gender': row['gender'],
'gender_label': gender_label,
'birth_date': row['birth_date'],
'age_months': row['age_months'],
'weight': float(row['weight']) if row['weight'] else None,
'photo_url': row['photo_url'],
'notes': row['notes'],
'created_at': utc_to_kst_str(row['created_at'])
})
except Exception as pet_error:
logging.warning(f"반려동물 조회 실패 (user {user_id}): {pet_error}")
# 9. 응답 생성
return jsonify({
'success': True,
'user': {
'id': user['id'],
'name': user['nickname'],
'phone': user['phone'],
'balance': user['mileage_balance'],
'created_at': utc_to_kst_str(user['created_at']),
'is_kakao_verified': user['nickname'] != '고객', # 카카오 인증 여부
'birthday': user['birthday'] if user['birthday'] else None
},
'mileage_history': [
{
'points': ml['points'],
'balance_after': ml['balance_after'],
'reason': ml['reason'],
'description': ml['description'],
'created_at': utc_to_kst_str(ml['created_at']),
'transaction_id': ml['transaction_id']
}
for ml in mileage_history
],
'purchases': purchases,
'prescriptions': prescriptions,
'pos_customer': pos_customer,
'interests': interests,
'pets': pets
})
except Exception as e:
import traceback
logging.error(f"사용자 상세 조회 실패: {e}\n{traceback.format_exc()}")
return jsonify({
'success': False,
'message': f'조회 실패: {str(e)}'
}), 500
finally:
if conn:
try:
conn.close()
except:
pass
@app.route('/admin/search/user')
def admin_search_user():
"""사용자 검색 (이름/전화번호/전화번호 뒷자리)"""
query = request.args.get('q', '').strip()
search_type = request.args.get('type', 'name') # 'name', 'phone', 'phone_last'
if not query:
return jsonify({'success': False, 'message': '검색어를 입력하세요'}), 400
conn = None
try:
conn = db_manager.get_sqlite_connection(new_connection=True)
cursor = conn.cursor()
if search_type == 'phone_last':
# 전화번호 뒷자리 검색
cursor.execute("""
SELECT id, nickname, phone, mileage_balance
FROM users
WHERE phone LIKE ?
ORDER BY created_at DESC
""", (f'%{query}',))
elif search_type == 'phone':
# 전체 전화번호 검색
cursor.execute("""
SELECT id, nickname, phone, mileage_balance
FROM users
WHERE phone = ?
""", (query,))
else:
# 이름 검색
cursor.execute("""
SELECT id, nickname, phone, mileage_balance
FROM users
WHERE nickname LIKE ?
ORDER BY created_at DESC
""", (f'%{query}%',))
results = cursor.fetchall()
if not results:
return jsonify({'success': False, 'message': '검색 결과가 없습니다'}), 404
if len(results) == 1:
# 단일 매칭 - user_id만 반환
return jsonify({
'success': True,
'multiple': False,
'user_id': results[0]['id']
})
else:
# 여러 명 매칭 - 선택 모달용 데이터 반환
users = [{
'id': row['id'],
'name': row['nickname'],
'phone': row['phone'],
'balance': row['mileage_balance'],
'is_kakao_verified': row['nickname'] != '고객' # 카카오 인증 여부
} for row in results]
return jsonify({
'success': True,
'multiple': True,
'users': users
})
except Exception as e:
import traceback
logging.error(f"사용자 검색 실패: {e}\n{traceback.format_exc()}")
return jsonify({
'success': False,
'message': f'검색 실패: {str(e)}'
}), 500
finally:
if conn:
try:
conn.close()
except:
pass
@app.route('/admin/search/product')
def admin_search_product():
"""제품 검색 - 적립자 목록 반환 (SQLite 적립자 기준)"""
query = request.args.get('q', '').strip()
if not query:
return jsonify({'success': False, 'message': '검색어를 입력하세요'}), 400
conn = None
try:
conn = db_manager.get_sqlite_connection(new_connection=True)
cursor = conn.cursor()
# 1. MSSQL에서 제품명으로 거래번호 찾기
session = db_manager.get_session('PM_PRES')
sale_items_query = text("""
SELECT DISTINCT
S.SL_NO_order,
S.SL_NM_item,
M.InsertTime
FROM SALE_SUB S
LEFT JOIN PM_DRUG.dbo.CD_GOODS G ON S.DrugCode = G.DrugCode
LEFT JOIN SALE_MAIN M ON S.SL_NO_order = M.SL_NO_order
WHERE G.GoodsName LIKE :product_name
ORDER BY M.InsertTime DESC
""")
sale_results = session.execute(sale_items_query, {
'product_name': f'%{query}%'
}).fetchall()
if not sale_results:
return jsonify({
'success': True,
'results': []
})
# 2. SQLite에서 적립된 거래만 필터링 (claimed_by_user_id IS NOT NULL)
transaction_ids = [row.SL_NO_order for row in sale_results]
placeholders = ','.join('?' * len(transaction_ids))
cursor.execute(f"""
SELECT
ct.transaction_id,
ct.total_amount,
ct.claimed_at,
ct.claimed_by_user_id,
u.nickname,
u.phone
FROM claim_tokens ct
JOIN users u ON ct.claimed_by_user_id = u.id
WHERE ct.transaction_id IN ({placeholders})
AND ct.claimed_by_user_id IS NOT NULL
ORDER BY ct.claimed_at DESC
LIMIT 50
""", transaction_ids)
claimed_results = cursor.fetchall()
# 3. 결과 조합
results = []
for claim_row in claimed_results:
# 해당 거래의 MSSQL 정보 찾기
mssql_row = next((r for r in sale_results if r.SL_NO_order == claim_row['transaction_id']), None)
if mssql_row:
results.append({
'user_id': claim_row['claimed_by_user_id'],
'user_name': claim_row['nickname'],
'user_phone': claim_row['phone'],
'purchase_date': str(mssql_row.InsertTime)[:16].replace('T', ' ') if mssql_row.InsertTime else '-', # MSSQL 실제 거래 시간
'claimed_date': str(claim_row['claimed_at'])[:16].replace('T', ' ') if claim_row['claimed_at'] else '-', # 적립 시간
'quantity': float(mssql_row.SL_NM_item or 0),
'total_amount': int(claim_row['total_amount'])
})
return jsonify({
'success': True,
'results': results
})
except Exception as e:
import traceback
logging.error(f"제품 검색 실패: {e}\n{traceback.format_exc()}")
return jsonify({
'success': False,
'message': f'검색 실패: {str(e)}'
}), 500
finally:
if conn:
try:
conn.close()
except:
pass
@app.route('/admin/ai-analyze-user/', methods=['POST'])
def admin_ai_analyze_user(user_id):
"""OpenAI GPT를 사용한 사용자 구매 패턴 AI 분석"""
try:
# OpenAI 사용 가능 여부 확인
if not OPENAI_AVAILABLE:
return jsonify({
'success': False,
'message': ERROR_MESSAGES['OPENAI_NOT_AVAILABLE']
}), 503
# 1. SQLite 연결
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
# 2. 사용자 기본 정보 조회
cursor.execute("""
SELECT id, nickname, phone, mileage_balance, created_at
FROM users WHERE id = ?
""", (user_id,))
user_row = cursor.fetchone()
if not user_row:
return jsonify({
'success': False,
'message': ERROR_MESSAGES['NO_USER']
}), 404
user = {
'id': user_row['id'],
'nickname': user_row['nickname'],
'phone': user_row['phone'],
'mileage_balance': user_row['mileage_balance'],
'created_at': user_row['created_at']
}
# 3. 구매 이력 조회 (최근 20건)
cursor.execute("""
SELECT transaction_id, total_amount, claimable_points, claimed_at
FROM claim_tokens
WHERE claimed_by_user_id = ?
ORDER BY claimed_at DESC
LIMIT 20
""", (user_id,))
claimed_tokens = cursor.fetchall()
if not claimed_tokens:
return jsonify({
'success': False,
'message': ERROR_MESSAGES['NO_PURCHASES']
}), 400
# 4. MSSQL에서 상품 상세 조회
purchases = []
session = db_manager.get_session('PM_PRES')
for token in claimed_tokens:
transaction_id = token['transaction_id']
# SALE_MAIN에서 거래 시간 조회
sale_main_query = text("""
SELECT InsertTime
FROM SALE_MAIN
WHERE SL_NO_order = :transaction_id
""")
sale_main = session.execute(sale_main_query, {'transaction_id': transaction_id}).fetchone()
# SALE_SUB + CD_GOODS JOIN
sale_items_query = text("""
SELECT
S.DrugCode,
ISNULL(G.GoodsName, '(약품명 없음)') AS goods_name,
S.SL_NM_item AS quantity,
S.SL_NM_cost_a AS price,
S.SL_TOTAL_PRICE AS total
FROM SALE_SUB S
LEFT JOIN PM_DRUG.dbo.CD_GOODS G ON S.DrugCode = G.DrugCode
WHERE S.SL_NO_order = :transaction_id
ORDER BY S.DrugCode
""")
items_raw = session.execute(sale_items_query, {'transaction_id': transaction_id}).fetchall()
items = [{
'name': item.goods_name,
'qty': int(item.quantity or 0),
'price': int(item.price or 0)
} for item in items_raw]
purchases.append({
'date': str(sale_main.InsertTime)[:16].replace('T', ' ') if sale_main and sale_main.InsertTime else '-',
'amount': int(token['total_amount']),
'points': int(token['claimable_points']),
'items': items
})
# 5. OpenAI API 호출용 프롬프트 생성
prompt = prepare_analysis_prompt(user, purchases)
# 6. OpenAI API 호출
logging.info(f"AI 분석 시작: 사용자 ID {user_id}")
success, response = call_openai_with_retry(prompt)
if not success:
# response에는 에러 메시지가 담겨 있음
return jsonify({
'success': False,
'message': response
}), 500
# 7. 응답 파싱
response_text = response.choices[0].message.content
analysis = parse_openai_response(response_text)
logging.info(f"AI 분석 완료: 사용자 ID {user_id}, 토큰: {response.usage.total_tokens}")
# 8. 결과 반환
return jsonify({
'success': True,
'user': {
'id': user['id'],
'name': user['nickname'],
'phone': user['phone'],
'balance': user['mileage_balance']
},
'analysis': analysis,
'metadata': {
'model_used': OPENAI_MODEL,
'tokens_used': response.usage.total_tokens,
'analysis_time': datetime.now(KST).strftime('%Y-%m-%d %H:%M:%S')
}
})
except Exception as e:
logging.error(f"AI 분석 오류: {e}")
return jsonify({
'success': False,
'message': ERROR_MESSAGES['UNKNOWN_ERROR']
}), 500
@app.route('/admin/use-points', methods=['POST'])
def admin_use_points():
"""관리자 페이지에서 포인트 사용 (차감)"""
try:
data = request.get_json()
user_id = data.get('user_id')
points_to_use = data.get('points')
if not user_id or not points_to_use:
return jsonify({
'success': False,
'message': '사용자 ID와 포인트를 입력하세요.'
}), 400
if points_to_use <= 0:
return jsonify({
'success': False,
'message': '1 이상의 포인트를 입력하세요.'
}), 400
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
# 1. 현재 사용자 잔액 확인
cursor.execute("""
SELECT id, nickname, mileage_balance
FROM users
WHERE id = ?
""", (user_id,))
user = cursor.fetchone()
if not user:
return jsonify({
'success': False,
'message': '사용자를 찾을 수 없습니다.'
}), 404
current_balance = user['mileage_balance']
# 2. 잔액 확인
if points_to_use > current_balance:
return jsonify({
'success': False,
'message': f'잔액({current_balance:,}P)이 부족합니다.'
}), 400
# 3. 포인트 차감
new_balance = current_balance - points_to_use
cursor.execute("""
UPDATE users
SET mileage_balance = ?
WHERE id = ?
""", (new_balance, user_id))
# 4. 마일리지 원장 기록
cursor.execute("""
INSERT INTO mileage_ledger
(user_id, transaction_id, points, balance_after, reason, description)
VALUES (?, NULL, ?, ?, 'USE', ?)
""", (
user_id,
-points_to_use, # 음수로 저장
new_balance,
f'포인트 사용 (관리자) - {points_to_use:,}P 차감'
))
conn.commit()
logging.info(f"포인트 사용 완료: 사용자 ID {user_id}, 차감 {points_to_use}P, 잔액 {new_balance}P")
return jsonify({
'success': True,
'message': f'{points_to_use:,}P 사용 완료',
'new_balance': new_balance,
'used_points': points_to_use
})
except Exception as e:
logging.error(f"포인트 사용 실패: {e}")
return jsonify({
'success': False,
'message': f'포인트 사용 실패: {str(e)}'
}), 500
@app.route('/admin')
def admin():
"""관리자 페이지 - 전체 사용자 및 적립 현황"""
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
# 전체 통계
cursor.execute("""
SELECT
COUNT(*) as total_users,
SUM(mileage_balance) as total_balance
FROM users
""")
stats = cursor.fetchone()
# 최근 가입 사용자 (20명)
cursor.execute("""
SELECT id, nickname, phone, mileage_balance, created_at, kakao_verified_at
FROM users
ORDER BY created_at DESC
LIMIT 20
""")
recent_users_raw = cursor.fetchall()
# 시간을 KST로 변환 + 조제 이력 확인
recent_users = []
# MSSQL 세션 (조제 이력 확인용)
base_session = None
pres_session = None
try:
base_session = db_manager.get_session('PM_BASE')
pres_session = db_manager.get_session('PM_PRES')
except:
pass
for user in recent_users_raw:
user_dict = dict(user)
user_dict['created_at'] = utc_to_kst_str(user['created_at'])
user_dict['kakao_verified_at'] = utc_to_kst_str(user['kakao_verified_at']) if user['kakao_verified_at'] else None
# 조제 이력 확인 (MSSQL)
user_dict['has_prescription'] = False
if base_session and pres_session and user['phone']:
try:
phone_clean = user['phone'].replace('-', '').replace(' ', '')
# 1단계: PM_BASE에서 전화번호로 CUSCODE 조회
cuscode_query = text("""
SELECT TOP 1 CUSCODE
FROM CD_PERSON
WHERE REPLACE(REPLACE(PHONE, '-', ''), ' ', '') = :phone
OR REPLACE(REPLACE(TEL_NO, '-', ''), ' ', '') = :phone
OR REPLACE(REPLACE(PHONE2, '-', ''), ' ', '') = :phone
""")
cus_row = base_session.execute(cuscode_query, {'phone': phone_clean}).fetchone()
if cus_row:
# 2단계: PM_PRES에서 CUSCODE로 조제 기록 확인
pres_check = pres_session.execute(text("""
SELECT TOP 1 PreSerial FROM PS_main WHERE CusCode = :cuscode
"""), {'cuscode': cus_row.CUSCODE}).fetchone()
if pres_check:
user_dict['has_prescription'] = True
except Exception as e:
logging.warning(f"조제 이력 확인 실패 (user {user['id']}): {e}")
recent_users.append(user_dict)
# 최근 적립 내역 (50건)
cursor.execute("""
SELECT
ml.id,
u.nickname,
u.phone,
ml.points,
ml.balance_after,
ml.reason,
ml.description,
ml.created_at,
ml.transaction_id
FROM mileage_ledger ml
JOIN users u ON ml.user_id = u.id
ORDER BY ml.created_at DESC
LIMIT 50
""")
recent_transactions_raw = cursor.fetchall()
# 시간을 KST로 변환
recent_transactions = []
for trans in recent_transactions_raw:
trans_dict = dict(trans)
trans_dict['created_at'] = utc_to_kst_str(trans['created_at'])
recent_transactions.append(trans_dict)
# QR 토큰 통계
cursor.execute("""
SELECT
COUNT(*) as total_tokens,
SUM(CASE WHEN claimed_at IS NOT NULL THEN 1 ELSE 0 END) as claimed_count,
SUM(CASE WHEN claimed_at IS NULL THEN 1 ELSE 0 END) as unclaimed_count,
SUM(claimable_points) as total_points_issued,
SUM(CASE WHEN claimed_at IS NOT NULL THEN claimable_points ELSE 0 END) as total_points_claimed
FROM claim_tokens
""")
token_stats = cursor.fetchone()
# 반려동물 통계
cursor.execute("""
SELECT
COUNT(*) as total_pets,
SUM(CASE WHEN species = 'dog' THEN 1 ELSE 0 END) as dog_count,
SUM(CASE WHEN species = 'cat' THEN 1 ELSE 0 END) as cat_count,
COUNT(DISTINCT user_id) as owners_count
FROM pets
WHERE is_active = 1
""")
pet_stats = cursor.fetchone()
# 최근 등록 반려동물 (10마리)
cursor.execute("""
SELECT p.id, p.name, p.species, p.breed, p.photo_url, p.created_at,
u.nickname as owner_name, u.phone as owner_phone
FROM pets p
JOIN users u ON p.user_id = u.id
WHERE p.is_active = 1
ORDER BY p.created_at DESC
LIMIT 10
""")
recent_pets_raw = cursor.fetchall()
recent_pets = []
for pet in recent_pets_raw:
pet_dict = dict(pet)
pet_dict['created_at'] = utc_to_kst_str(pet['created_at'])
recent_pets.append(pet_dict)
# 최근 QR 발행 내역 (20건)
cursor.execute("""
SELECT
transaction_id,
total_amount,
claimable_points,
claimed_at,
claimed_by_user_id,
created_at
FROM claim_tokens
ORDER BY created_at DESC
LIMIT 20
""")
recent_tokens_raw = cursor.fetchall()
# Convert only created_at (발행일), leave claimed_at (적립일) unconverted
recent_tokens = []
for token in recent_tokens_raw:
token_dict = dict(token)
token_dict['created_at'] = utc_to_kst_str(token['created_at']) # Convert 발행일
# claimed_at stays as-is (or remains None if not claimed)
recent_tokens.append(token_dict)
return render_template('admin.html',
stats=stats,
recent_users=recent_users,
recent_transactions=recent_transactions,
token_stats=token_stats,
recent_tokens=recent_tokens,
pet_stats=pet_stats,
recent_pets=recent_pets)
# ============================================================================
# AI 업셀링 추천
# ============================================================================
def _get_available_products():
"""약국 보유 제품 목록 (최근 30일 판매 실적 기준 TOP 40)"""
try:
mssql_session = db_manager.get_session('PM_PRES')
rows = mssql_session.execute(text("""
SELECT TOP 40
ISNULL(G.GoodsName, '') AS name,
COUNT(*) as sales,
MAX(G.Saleprice) as price
FROM SALE_SUB S
LEFT JOIN PM_DRUG.dbo.CD_GOODS G ON S.DrugCode = G.DrugCode
WHERE S.SL_DT_appl >= CONVERT(VARCHAR(8), DATEADD(DAY, -30, GETDATE()), 112)
AND G.GoodsName IS NOT NULL
AND G.GoodsName NOT LIKE N'%(판매중지)%'
GROUP BY G.GoodsName
ORDER BY COUNT(*) DESC
""")).fetchall()
return [{'name': r.name, 'price': float(r.price or 0), 'sales': r.sales} for r in rows]
except Exception as e:
logging.warning(f"[AI추천] 보유 제품 목록 조회 실패: {e}")
return []
def _generate_upsell_recommendation(user_id, transaction_id, sale_items, user_name):
"""키오스크 적립 후 AI 업셀링 추천 생성 (fire-and-forget)"""
from services.clawdbot_client import generate_upsell, generate_upsell_real
if not sale_items:
return
# 현재 구매 품목
current_items = ', '.join(item['name'] for item in sale_items if item.get('name'))
if not current_items:
return
# 최근 구매 이력 수집
recent_products = current_items # 기본값
try:
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT ct.transaction_id
FROM claim_tokens ct
WHERE ct.claimed_by_user_id = ? AND ct.transaction_id != ?
ORDER BY ct.claimed_at DESC LIMIT 5
""", (user_id, transaction_id))
recent_tokens = cursor.fetchall()
if recent_tokens:
all_products = []
mssql_session = db_manager.get_session('PM_PRES')
for token in recent_tokens:
rows = mssql_session.execute(text("""
SELECT ISNULL(G.GoodsName, '') AS goods_name
FROM SALE_SUB S
LEFT JOIN PM_DRUG.dbo.CD_GOODS G ON S.DrugCode = G.DrugCode
WHERE S.SL_NO_order = :tid
"""), {'tid': token['transaction_id']}).fetchall()
for r in rows:
if r.goods_name:
all_products.append(r.goods_name)
if all_products:
recent_products = ', '.join(set(all_products))
except Exception as e:
logging.warning(f"[AI추천] 구매 이력 수집 실패 (현재 품목만 사용): {e}")
# 실데이터 기반 추천 (보유 제품 목록 제공)
available = _get_available_products()
rec = None
if available:
logging.info(f"[AI추천] 실데이터 생성 시작: user={user_name}, items={current_items}, 보유제품={len(available)}개")
rec = generate_upsell_real(user_name, current_items, recent_products, available)
# 실데이터 실패 시 기존 방식 fallback
if not rec:
logging.info(f"[AI추천] 자유 생성 fallback: user={user_name}")
rec = generate_upsell(user_name, current_items, recent_products)
if not rec:
logging.warning("[AI추천] 생성 실패 (AI 응답 없음)")
return
# SQLite에 저장
try:
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
expires_at = (datetime.now() + timedelta(days=7)).strftime('%Y-%m-%d %H:%M:%S')
cursor.execute("""
INSERT INTO ai_recommendations
(user_id, transaction_id, recommended_product, recommendation_message,
recommendation_reason, trigger_products, ai_raw_response, expires_at)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)
""", (
user_id, transaction_id,
rec['product'], rec['message'], rec['reason'],
json.dumps([item['name'] for item in sale_items], ensure_ascii=False),
json.dumps(rec, ensure_ascii=False),
expires_at
))
conn.commit()
logging.info(f"[AI추천] 저장 완료: user_id={user_id}, product={rec['product']}")
except Exception as e:
logging.warning(f"[AI추천] DB 저장 실패: {e}")
@app.route('/api/recommendation/')
def api_get_recommendation(user_id):
"""마이페이지용 AI 추천 조회"""
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
now = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
cursor.execute("""
SELECT id, recommended_product, recommendation_message, created_at
FROM ai_recommendations
WHERE user_id = ? AND status = 'active'
AND (expires_at IS NULL OR expires_at > ?)
ORDER BY created_at DESC LIMIT 1
""", (user_id, now))
rec = cursor.fetchone()
if not rec:
return jsonify({'success': True, 'has_recommendation': False})
# 표시 횟수 업데이트
cursor.execute("""
UPDATE ai_recommendations
SET displayed_count = displayed_count + 1,
displayed_at = COALESCE(displayed_at, ?)
WHERE id = ?
""", (now, rec['id']))
conn.commit()
# 제품 이미지 조회 (product_images DB에서 제품명으로 검색)
product_image = None
try:
img_db_path = os.path.join(os.path.dirname(__file__), 'db', 'product_images.db')
logging.info(f"[AI추천] 이미지 DB 경로: {img_db_path}")
img_conn = sqlite3.connect(img_db_path)
img_conn.row_factory = sqlite3.Row
img_cursor = img_conn.cursor()
product_name = rec['recommended_product']
logging.info(f"[AI추천] 검색할 제품명: {product_name}")
# 제품명으로 이미지 검색 (LIKE 검색으로 부분 매칭) - 원본 이미지 사용
img_cursor.execute("""
SELECT image_base64 FROM product_images
WHERE product_name LIKE ? AND image_base64 IS NOT NULL
LIMIT 1
""", (f'%{product_name}%',))
img_row = img_cursor.fetchone()
if img_row:
product_image = img_row['image_base64']
logging.info(f"[AI추천] 이미지 찾음: {len(product_image)} bytes")
else:
logging.info(f"[AI추천] 이미지 없음 (제품: {product_name})")
img_conn.close()
except Exception as e:
logging.warning(f"[AI추천] 제품 이미지 조회 실패: {e}")
return jsonify({
'success': True,
'has_recommendation': True,
'recommendation': {
'id': rec['id'],
'product': rec['recommended_product'],
'message': rec['recommendation_message'],
'image': product_image # base64 썸네일 이미지 (없으면 null)
}
})
@app.route('/api/recommendation//dismiss', methods=['POST'])
def api_dismiss_recommendation(rec_id):
"""추천 닫기 / 관심 표시"""
data = request.get_json(silent=True) or {}
action = data.get('action', 'dismissed')
if action not in ('dismissed', 'interested'):
action = 'dismissed'
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
now = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
cursor.execute("""
UPDATE ai_recommendations SET status = ?, dismissed_at = ?
WHERE id = ?
""", (action, now, rec_id))
conn.commit()
logging.info(f"[AI추천] id={rec_id} → {action}")
return jsonify({'success': True})
# ============================================================================
# 알림톡 로그
# ============================================================================
@app.route('/admin/alimtalk')
def admin_alimtalk():
"""알림톡 발송 로그 + NHN 발송 내역"""
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
# 로컬 발송 로그 (최근 50건)
cursor.execute("""
SELECT a.*, u.nickname, u.phone as user_phone
FROM alimtalk_logs a
LEFT JOIN users u ON a.user_id = u.id
ORDER BY a.created_at DESC
LIMIT 50
""")
local_logs = [dict(row) for row in cursor.fetchall()]
# 통계
cursor.execute("""
SELECT
COUNT(*) as total,
SUM(CASE WHEN success = 1 THEN 1 ELSE 0 END) as success_count,
SUM(CASE WHEN success = 0 THEN 1 ELSE 0 END) as fail_count
FROM alimtalk_logs
""")
stats = dict(cursor.fetchone())
# 오늘 통계
cursor.execute("""
SELECT
COUNT(*) as today_total,
SUM(CASE WHEN success = 1 THEN 1 ELSE 0 END) as today_success
FROM alimtalk_logs
WHERE date(created_at) = date('now')
""")
today = dict(cursor.fetchone())
stats.update(today)
return render_template('admin_alimtalk.html', local_logs=local_logs, stats=stats)
@app.route('/admin/ai-crm')
def admin_ai_crm():
"""AI 업셀링 CRM 대시보드"""
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
# 추천 목록 (최근 50건) + 사용자 정보 JOIN
cursor.execute("""
SELECT r.*, u.nickname, u.phone as user_phone
FROM ai_recommendations r
LEFT JOIN users u ON r.user_id = u.id
ORDER BY r.created_at DESC
LIMIT 50
""")
recs = [dict(row) for row in cursor.fetchall()]
# trigger_products JSON 파싱
for rec in recs:
tp = rec.get('trigger_products')
if tp:
try:
rec['trigger_list'] = json.loads(tp)
except Exception:
rec['trigger_list'] = [tp]
else:
rec['trigger_list'] = []
# 통계
cursor.execute("""
SELECT
COUNT(*) as total,
SUM(CASE WHEN status = 'active' AND (expires_at IS NULL OR expires_at > datetime('now')) THEN 1 ELSE 0 END) as active_count,
SUM(CASE WHEN status = 'interested' THEN 1 ELSE 0 END) as interested_count,
SUM(CASE WHEN status = 'dismissed' THEN 1 ELSE 0 END) as dismissed_count,
SUM(CASE WHEN displayed_count > 0 THEN 1 ELSE 0 END) as displayed_count
FROM ai_recommendations
""")
stats = dict(cursor.fetchone())
# 오늘 생성 건수
cursor.execute("""
SELECT COUNT(*) as today_count
FROM ai_recommendations
WHERE date(created_at) = date('now')
""")
stats['today_count'] = cursor.fetchone()['today_count']
now = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
return render_template('admin_ai_crm.html', recs=recs, stats=stats, now=now)
@app.route('/api/admin/alimtalk/nhn-history')
def api_admin_alimtalk_nhn_history():
"""NHN Cloud 실제 발송 내역 API"""
from services.nhn_alimtalk import get_nhn_send_history
date_str = request.args.get('date', datetime.now().strftime('%Y-%m-%d'))
start = f"{date_str} 00:00"
end = f"{date_str} 23:59"
messages = get_nhn_send_history(start, end)
result = []
for m in messages:
result.append({
'requestDate': m.get('requestDate', ''),
'recipientNo': m.get('recipientNo', ''),
'templateCode': m.get('templateCode', ''),
'messageStatus': m.get('messageStatus', ''),
'resultCode': m.get('resultCode', ''),
'resultMessage': m.get('resultMessage', ''),
'content': m.get('content', ''),
})
return jsonify({'success': True, 'messages': result})
@app.route('/api/admin/alimtalk/test-send', methods=['POST'])
def api_admin_alimtalk_test_send():
"""관리자 수동 알림톡 발송 테스트"""
from services.nhn_alimtalk import send_mileage_claim_alimtalk
data = request.get_json()
phone = data.get('phone', '').strip().replace('-', '')
name = data.get('name', '테스트')
if len(phone) < 10:
return jsonify({'success': False, 'message': '올바른 전화번호를 입력해주세요.'}), 400
success, msg = send_mileage_claim_alimtalk(
phone, name, 100, 500,
items=[{'name': '테스트 발송', 'qty': 1, 'total': 1000}],
trigger_source='admin_test'
)
return jsonify({'success': success, 'message': msg})
# ============================================================================
# 키오스크 적립
# ============================================================================
@app.route('/kiosk')
def kiosk():
"""키오스크 메인 페이지 (전체 화면 웹 UI)"""
return render_template('kiosk.html')
@app.route('/api/kiosk/trigger', methods=['POST'])
def api_kiosk_trigger():
"""
POS → 키오스크 세션 생성
POST /api/kiosk/trigger
Body: {"transaction_id": "...", "amount": 50000}
"""
global kiosk_current_session
data = request.get_json()
transaction_id = data.get('transaction_id')
amount = data.get('amount', 0)
if not transaction_id:
return jsonify({'success': False, 'message': 'transaction_id가 필요합니다.'}), 400
try:
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
# QR 토큰 존재 확인
cursor.execute("SELECT id, token_hash, claimable_points, claimed_at FROM claim_tokens WHERE transaction_id = ?",
(transaction_id,))
token_row = cursor.fetchone()
if token_row and token_row['claimed_at']:
return jsonify({'success': False, 'message': '이미 적립된 거래입니다.'}), 400
if token_row:
# 기존 토큰 사용 — QR URL은 새 nonce로 생성
# (verify_claim_token은 transaction_id로만 조회하므로 nonce 불일치 무관)
claimable_points = token_row['claimable_points']
nonce = secrets.token_hex(6)
from utils.qr_token_generator import QR_BASE_URL
qr_url = f"{QR_BASE_URL}?t={transaction_id}:{nonce}"
else:
# 새 토큰 생성 + 서버 동기화 (v2)
from utils.qr_token_generator import generate_and_sync_token
# 품목 조회
sale_items = get_sale_items(transaction_id)
token_info = generate_and_sync_token(transaction_id, float(amount), get_pharmacy_code(), items=sale_items)
if not token_info.get('local_saved'):
return jsonify({'success': False, 'message': token_info.get('local_error', 'DB 저장 실패')}), 500
claimable_points = token_info['claimable_points']
qr_url = token_info['qr_url']
# 서버 동기화 로그 (실패해도 계속 진행)
if token_info.get('synced'):
print(f"[QR] 서버 동기화 완료: {transaction_id} → ID:{token_info.get('server_token_id')}")
else:
print(f"[QR] 서버 동기화 실패 (오프라인?): {transaction_id}")
# MSSQL에서 구매 품목 조회
sale_items = []
try:
mssql_session = db_manager.get_session('PM_PRES')
sale_sub_query = text("""
SELECT
ISNULL(G.GoodsName, '(약품명 없음)') AS goods_name,
S.SL_NM_item AS quantity,
S.SL_TOTAL_PRICE AS total
FROM SALE_SUB S
LEFT JOIN PM_DRUG.dbo.CD_GOODS G ON S.DrugCode = G.DrugCode
WHERE S.SL_NO_order = :transaction_id
ORDER BY S.DrugCode
""")
rows = mssql_session.execute(sale_sub_query, {'transaction_id': transaction_id}).fetchall()
sale_items = [
{'name': r.goods_name, 'qty': int(r.quantity or 0), 'total': int(r.total or 0)}
for r in rows
]
except Exception as e:
logging.warning(f"키오스크 품목 조회 실패 (transaction_id={transaction_id}): {e}")
# 키오스크 세션 저장
kiosk_current_session = {
'transaction_id': transaction_id,
'amount': int(amount),
'points': claimable_points,
'qr_url': qr_url,
'items': sale_items,
'created_at': datetime.now(KST).isoformat()
}
return jsonify({
'success': True,
'message': f'키오스크 적립 대기 ({claimable_points}P)',
'points': claimable_points
})
except Exception as e:
logging.error(f"키오스크 트리거 오류: {e}")
return jsonify({'success': False, 'message': f'오류: {str(e)}'}), 500
@app.route('/api/kiosk/current')
def api_kiosk_current():
"""
키오스크 폴링 - 현재 세션 조회
GET /api/kiosk/current
"""
global kiosk_current_session
if kiosk_current_session is None:
return jsonify({'active': False})
# 5분 경과 시 자동 만료
created = datetime.fromisoformat(kiosk_current_session['created_at'])
if datetime.now(KST) - created > timedelta(minutes=5):
kiosk_current_session = None
return jsonify({'active': False})
return jsonify({
'active': True,
'transaction_id': kiosk_current_session['transaction_id'],
'amount': kiosk_current_session['amount'],
'points': kiosk_current_session['points'],
'qr_url': kiosk_current_session.get('qr_url'),
'items': kiosk_current_session.get('items', [])
})
@app.route('/api/kiosk/claim', methods=['POST'])
def api_kiosk_claim():
"""
키오스크 전화번호 적립
POST /api/kiosk/claim
Body: {"phone": "01012345678"}
"""
global kiosk_current_session
if kiosk_current_session is None:
return jsonify({'success': False, 'message': '적립 대기 중인 거래가 없습니다.'}), 400
data = request.get_json()
phone = data.get('phone', '').strip().replace('-', '').replace(' ', '')
if len(phone) < 10:
return jsonify({'success': False, 'message': '올바른 전화번호를 입력해주세요.'}), 400
transaction_id = kiosk_current_session['transaction_id']
try:
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
# claim_tokens에서 nonce 조회를 위해 token_hash로 검증
cursor.execute("""
SELECT id, transaction_id, token_hash, total_amount, claimable_points,
pharmacy_id, expires_at, claimed_at, claimed_by_user_id
FROM claim_tokens WHERE transaction_id = ?
""", (transaction_id,))
token_row = cursor.fetchone()
if not token_row:
return jsonify({'success': False, 'message': '토큰을 찾을 수 없습니다.'}), 400
if token_row['claimed_at']:
kiosk_current_session = None
return jsonify({'success': False, 'message': '이미 적립된 거래입니다.'}), 400
# 만료 확인
expires_at = datetime.strptime(token_row['expires_at'], '%Y-%m-%d %H:%M:%S')
if datetime.now() > expires_at:
kiosk_current_session = None
return jsonify({'success': False, 'message': '만료된 거래입니다.'}), 400
# token_info 딕셔너리 구성 (claim_mileage 호환)
token_info = {
'id': token_row['id'],
'transaction_id': token_row['transaction_id'],
'total_amount': token_row['total_amount'],
'claimable_points': token_row['claimable_points']
}
# 사용자 조회/생성
user_id, is_new = get_or_create_user(phone, '고객')
# 마일리지 적립
claim_success, claim_msg, new_balance = claim_mileage(user_id, token_info)
if not claim_success:
return jsonify({'success': False, 'message': claim_msg}), 500
# 키오스크 세션에서 품목 정보 캡처 후 클리어
claimed_points = token_info['claimable_points']
sale_items = kiosk_current_session.get('items', [])
kiosk_current_session = None
# 알림톡 발송 (fire-and-forget)
try:
from services.nhn_alimtalk import send_mileage_claim_alimtalk
# 유저 이름 조회 (기존 유저는 실명이 있을 수 있음)
cursor.execute("SELECT nickname FROM users WHERE id = ?", (user_id,))
user_row = cursor.fetchone()
user_name = user_row['nickname'] if user_row else '고객'
logging.warning(f"[알림톡] 발송 시도: phone={phone}, name={user_name}, points={claimed_points}, balance={new_balance}, items={sale_items}")
success, msg = send_mileage_claim_alimtalk(
phone, user_name, claimed_points, new_balance,
items=sale_items, user_id=user_id,
trigger_source='kiosk', transaction_id=transaction_id
)
logging.warning(f"[알림톡] 발송 결과: success={success}, msg={msg}")
except Exception as alimtalk_err:
logging.warning(f"[알림톡] 발송 예외 (적립은 완료): {alimtalk_err}")
# AI 업셀링 추천 생성 (별도 스레드 — 적립 응답 블로킹 방지)
import threading
def _bg_upsell():
try:
_generate_upsell_recommendation(user_id, transaction_id, sale_items, user_name)
except Exception as rec_err:
logging.warning(f"[AI추천] 생성 예외 (적립은 완료): {rec_err}")
threading.Thread(target=_bg_upsell, daemon=True).start()
return jsonify({
'success': True,
'message': f'{claimed_points}P 적립 완료!',
'points': claimed_points,
'balance': new_balance,
'is_new_user': is_new
})
except Exception as e:
logging.error(f"키오스크 적립 오류: {e}")
return jsonify({'success': False, 'message': f'오류: {str(e)}'}), 500
# ===== AI Gateway 모니터 페이지 =====
@app.route('/admin/ai-gw')
def admin_ai_gw():
"""AI Gateway 모니터 페이지"""
return render_template('admin_ai_gw.html')
# ===== 판매 상세 조회 페이지 =====
@app.route('/admin/sales-detail')
def admin_sales_detail():
"""판매 상세 조회 페이지 (상품코드/바코드/표준코드 매핑)"""
return render_template('admin_sales_detail.html')
# =============================================================================
# 동물약 추천 챗봇 API
# =============================================================================
# 동물약 지식 베이스 (RAG 컨텍스트)
ANIMAL_DRUG_KNOWLEDGE = """
## 🐕 심장사상충 예방약 (매월 투여)
- **하트가드 (Heartgard)**: 이버멕틴 성분, 츄어블, 소/중/대형견용, 고기맛
- **다이로하트 (Dirohart)**: 이버멕틴 성분, 하트가드 제네릭, 경제적
- **하트캅 (Heartcap)**: 밀베마이신 옥심, 태블릿, 정밀한 용량
## 🐕 외부기생충 (벼룩/진드기) 예방약
- **넥스가드 (NexGard)**: 아폭솔라너 성분, 츄어블, 1개월 지속, 맛있는 소고기맛
- **넥스가드 스펙트라**: 넥스가드 + 심장사상충 예방 (아폭솔라너 + 밀베마이신)
- **브라벡토 (Bravecto)**: 플루랄라너 성분, 츄어블, **3개월** 지속 (12주)
- **심파리카 (Simparica)**: 사롤라너 성분, 츄어블, 1개월 지속
- **심파리카 트리오**: 심파리카 + 심장사상충 + 내부기생충 예방
- **크레델리오 (Credelio)**: 로틸라너 성분, 1개월 지속, 소형 정제
## 🐱 고양이 전용
- **브라벡토 스팟온 (고양이)**: 외부기생충, 3개월 지속, 바르는 타입
- **레볼루션 (Revolution)**: 셀라멕틴 성분, 스팟온, 심장사상충 + 벼룩 + 귀진드기
- **브로드라인**: 피프로닐 + 에피프리노미드, 내/외부기생충 + 심장사상충
## 🪱 내부기생충 (구충제)
- **파라캅 (Paracap)**: 펜벤다졸 성분, 광범위 구충
- **드론탈 (Drontal)**: 프라지콴텔 + 피란텔, 국제적 신뢰
- 기타 구충제는 위 "보유 동물약" 목록의 [대상:] 정보 참조
## 💊 용량 안내
- 체중별 제품 선택이 중요합니다
- 소형견(5kg 미만), 중형견(5-10kg), 대형견(10-25kg), 초대형견(25kg 이상)
- **각 제품의 [대상:] 정보를 확인하세요** - 개/고양이 사용 가능 여부가 표시됨
## ⚠️ 주의사항
- 콜리/셸티/보더콜리 등 MDR1 유전자 변이견은 이버멕틴 주의
- 임신/수유 중인 동물은 수의사 상담 필요
- 체중 정확히 측정 후 제품 선택
## 🚨 항생제 필수 경고 (퀴놀론계)
- **엔로플록사신(아시엔로, Baytril)**: 🐱 고양이 망막 독성! 5mg/kg/day 초과 시 실명 위험. 대안: 마르보플록사신
- **이버멕틴 고용량**: MDR1 유전자 변이견(콜리, 셸티, 오스트레일리안 셰퍼드) 신경독성 주의
- **어린 동물 퀴놀론계**: 연골 발달에 영향, 성장기 동물 주의
"""
# 동물약 챗봇 System Prompt
ANIMAL_CHAT_SYSTEM_PROMPT = """당신은 약국의 동물약 전문 상담사입니다.
**⚠️ 중요: 아래 "보유 동물약" 목록의 [대상:, 용량:, 금기:] 정보를 최우선으로 참조하세요!**
**역할:** 동물약 추천, 용법/용량 안내, 주의사항 안내
**💊 업셀링 규칙 (중요!):**
- **항생제 질문 시**: "항생제 복용 중에는 장 건강을 위해 정장제(유산균)를 함께 급여하면 좋아요!"라고 안내하고, 제스타제 같은 정장제도 함께 추천
- **구충제 질문 시**: 정기적인 예방 일정 안내
- **피부약 질문 시**: 2단계 추천 구조 적용
- 🔹 **1차 추천(치료)**: 증상에 맞는 의약품 (개시딘겔-세균성피부염, 테르비덤-진균감염 등)
- 🔹 **2차 언급(보조케어)**: "염증이 가라앉은 후 회복기에는 스킨카솔 같은 피부케어 제품(의약외품)도 도움이 됩니다"
- ⚠️ 스킨카솔은 **의약외품**이므로 염증 "치료"용으로 추천하지 말 것! 피부 재생/보호/보습 목적으로만 언급
- 긁힘, 작은 상처, 피부 건조, 털빠짐 예방 → 스킨카솔 단독 추천 가능
**질문 유형별 응답:**
1. **일반/정보 질문** ("~가 뭐야?", "~종류가 뭐가 있어?", "~에 대해 알려줘")
- 📚 RAG 검색 결과를 활용해 **일반적인 정보** 제공
- 시중에 있는 여러 제품/성분 설명 가능
- 예: "바르는 동물약 종류" → 셀라멕틴(레볼루션, 셀라이트), 피프로닐(프론트라인, 프로닐스팟) 등
2. **추천/구매 질문** ("~추천해줘", "~사려고", "우리 약국에 있어?", "재고")
- 📦 **보유 제품 목록**에서만 추천
- 재고 있는 제품 위주로 안내
- 예: "심장사상충 약 추천해줘" → 보유 중인 하트세이버, 다이로하트 추천
3. **비교/상세 질문** ("~랑 차이", "자세히", "왜", "성분", "작용기전")
- 📚 RAG + 보유 목록 둘 다 활용
- 일반적 비교 설명 + 우리 약국 보유 여부 안내
- 길게 상세히 (10-15문장)
**⚠️ 투여방법 구분 (필수!):**
- "먹는 약", "경구", "복용" 질문 → 내복약만 추천 (정제, 츄어블, 캡슐, 시럽)
- "바르는 약", "도포", "외용" 질문 → 외용약만 추천 (겔, 스팟온, 크림, 연고)
- RAG 정보의 "제형", "분류", "체중/부위" 필드 확인 필수
- 외용약(겔, 도포, 환부에 직접)은 절대 "먹는 약"으로 추천하지 않음!
- 보유 제품 목록의 [내복/외용] 표시 확인!
**기본 규칙:**
1. 체중별 제품은 정확한 전체 이름 사용 (안텔민킹, 안텔민뽀삐 등)
2. 용량/투약 질문: 체중별 표 형식으로 정리
3. 친근하게 🐕🐱
4. **업셀링은 자연스럽게** - 강요하지 말고 "~하면 좋아요" 식으로 부드럽게 권유
{available_products}
{knowledge_base}"""
def _get_animal_drug_rag(apc_codes):
"""PostgreSQL에서 동물약 상세 정보 조회 (RAG용)"""
if not apc_codes:
return {}
try:
from sqlalchemy import create_engine
pg_engine = create_engine('postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master')
with pg_engine.connect() as conn:
# APC 코드들로 상세 정보 조회
placeholders = ','.join([f"'{apc}'" for apc in apc_codes if apc])
if not placeholders:
return {}
result = conn.execute(text(f"""
SELECT apc, product_name, main_ingredient,
component_name_ko,
image_url1,
llm_pharm->>'사용가능 동물' as target_animals,
llm_pharm->>'분류' as category,
llm_pharm->>'쉬운분류' as easy_category,
llm_pharm->>'약품 제형' as dosage_form,
llm_pharm->>'체중/부위' as dosage_weight,
llm_pharm->>'기간/용법' as usage_period,
llm_pharm->>'월령금기' as age_restriction,
llm_pharm->>'반려인주의' as owner_caution,
llm_pharm->>'주성분' as main_ingredient_detail,
llm_pharm->>'LLM설명' as description,
llm_pharm->>'어떤질병에사용하나요?' as usage_for
FROM apc
WHERE apc IN ({placeholders})
"""))
rag_data = {}
for row in result:
rag_data[row.apc] = {
'target_animals': row.target_animals or '정보 없음',
'category': row.category or '',
'easy_category': row.easy_category or '',
'dosage_form': row.dosage_form or '',
'dosage_weight': row.dosage_weight or '',
'usage_period': row.usage_period or '',
'age_restriction': row.age_restriction or '',
'owner_caution': row.owner_caution or '',
'main_ingredient': row.component_name_ko or row.main_ingredient_detail or row.main_ingredient or '',
'description': row.description or '',
'usage_for': row.usage_for or '',
'image_url': row.image_url1 or ''
}
return rag_data
except Exception as e:
logging.warning(f"동물약 RAG 조회 실패: {e}")
return {}
def _get_animal_drugs():
"""보유 중인 동물약 목록 조회 (APC 이미지 포함)
APC 우선순위:
1. CD_ITEM_UNIT_MEMBER에서 APC 코드 (0xx: ~2023년, 9xx: 2024년~)
2. 없으면 기존 BARCODE를 PostgreSQL에서 조회 (바코드=APC인 경우)
"""
try:
drug_session = db_manager.get_session('PM_DRUG')
# CD_ITEM_UNIT_MEMBER에서 APC 바코드 조회 + IM_total에서 재고 조회
query = text("""
SELECT
G.DrugCode,
G.GoodsName,
G.Saleprice,
G.BARCODE,
ISNULL(IT.IM_QT_sale_debit, 0) AS Stock,
(
SELECT TOP 1 U.CD_CD_BARCODE
FROM CD_ITEM_UNIT_MEMBER U
WHERE U.DRUGCODE = G.DrugCode
AND (U.CD_CD_BARCODE LIKE '02%' OR U.CD_CD_BARCODE LIKE '92%')
AND LEN(U.CD_CD_BARCODE) = 13
ORDER BY U.CHANGE_DATE DESC
) AS APC_CODE
FROM CD_GOODS G
LEFT JOIN IM_total IT ON G.DrugCode = IT.DrugCode
WHERE G.POS_BOON = '010103'
AND G.GoodsSelCode = 'B'
ORDER BY G.GoodsName
""")
rows = drug_session.execute(query).fetchall()
result = []
apc_list = []
for r in rows:
apc = r.APC_CODE if hasattr(r, 'APC_CODE') else None
barcode = r.BARCODE or ''
# APC가 없으면 바코드를 APC로 사용 (PostgreSQL에서 바코드=APC인 경우)
if not apc and barcode:
apc = barcode
if apc:
apc_list.append(apc)
result.append({
'code': r.DrugCode,
'name': r.GoodsName,
'price': float(r.Saleprice) if r.Saleprice else 0,
'barcode': barcode,
'apc': apc,
'stock': int(r.Stock) if r.Stock else 0,
'wholesaler_stock': 0, # PostgreSQL에서 가져옴
'category': None, # PostgreSQL에서 가져옴
'image_url': None # PostgreSQL에서 가져옴
})
# PostgreSQL에서 이미지 URL + 도매상 재고 가져오기
if apc_list:
try:
from sqlalchemy import create_engine
pg_engine = create_engine('postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master')
with pg_engine.connect() as conn:
placeholders = ','.join([f"'{a}'" for a in apc_list])
# 이미지 URL + 분류 조회
info_result = conn.execute(text(f"""
SELECT apc, image_url1, llm_pharm->>'분류' as category
FROM apc WHERE apc IN ({placeholders})
"""))
info_map = {row.apc: {'image_url': row.image_url1, 'category': row.category} for row in info_result}
# 도매상 재고 조회 (SUM)
stock_result = conn.execute(text(f"""
SELECT A.apc, COALESCE(SUM(I.quantity), 0) as wholesaler_stock
FROM apc A
LEFT JOIN inventory I ON I.apdb_id = A.idx
WHERE A.apc IN ({placeholders})
GROUP BY A.apc
"""))
stock_map = {row.apc: int(row.wholesaler_stock) for row in stock_result}
for item in result:
if item['apc']:
if item['apc'] in info_map:
item['image_url'] = info_map[item['apc']]['image_url']
item['category'] = info_map[item['apc']]['category']
if item['apc'] in stock_map:
item['wholesaler_stock'] = stock_map[item['apc']]
else:
item['wholesaler_stock'] = 0
except Exception as e:
logging.warning(f"PostgreSQL 이미지/재고 조회 실패: {e}")
return result
except Exception as e:
logging.warning(f"동물약 목록 조회 실패: {e}")
return []
@app.route('/api/animal-chat', methods=['POST'])
def api_animal_chat():
"""
동물약 추천 챗봇 API
Request:
{
"messages": [
{"role": "user", "content": "강아지 심장사상충 약 추천해주세요"}
]
}
Response:
{
"success": true,
"message": "AI 응답 텍스트",
"products": [{"name": "...", "price": ...}] // 언급된 보유 제품
}
"""
try:
import time
from utils.animal_chat_logger import ChatLogEntry, log_chat
# 로그 엔트리 초기화
log_entry = ChatLogEntry()
total_start = time.time()
if not OPENAI_AVAILABLE:
return jsonify({
'success': False,
'message': 'AI 기능을 사용할 수 없습니다. 관리자에게 문의하세요.'
}), 503
data = request.get_json()
messages = data.get('messages', [])
if not messages:
return jsonify({
'success': False,
'message': '메시지를 입력해주세요.'
}), 400
# 입력 로깅
last_user_msg = next((m['content'] for m in reversed(messages) if m.get('role') == 'user'), '')
log_entry.user_message = last_user_msg
log_entry.history_length = len(messages)
log_entry.session_id = data.get('session_id', '')
# 보유 동물약 목록 조회 (MSSQL)
mssql_start = time.time()
animal_drugs = _get_animal_drugs()
log_entry.mssql_drug_count = len(animal_drugs)
log_entry.mssql_duration_ms = int((time.time() - mssql_start) * 1000)
# APC가 있는 제품의 상세 정보 조회 (PostgreSQL RAG)
pgsql_start = time.time()
apc_codes = [d['apc'] for d in animal_drugs if d.get('apc')]
rag_data = _get_animal_drug_rag(apc_codes) if apc_codes else {}
log_entry.pgsql_rag_count = len(rag_data)
log_entry.pgsql_duration_ms = int((time.time() - pgsql_start) * 1000)
available_products_text = ""
if animal_drugs:
product_lines = []
for d in animal_drugs:
line = f"- {d['name']} ({d['price']:,.0f}원)"
# RAG 정보 추가
if d.get('apc') and d['apc'] in rag_data:
info = rag_data[d['apc']]
details = []
# 투여방법 표시 (내복/외용 구분)
admin_type = ""
dosage_form = info.get('dosage_form', '').lower()
easy_cat = info.get('easy_category', '').lower()
dosage_weight = info.get('dosage_weight', '').lower()
# 외용약 판별 (겔, 크림, 연고, 스팟온, 도포, 환부)
if any(kw in dosage_form for kw in ['겔', '크림', '연고', '스팟온', '점이', '외용']) or \
any(kw in easy_cat for kw in ['외용', '피부약', '점이', '점안']) or \
any(kw in dosage_weight for kw in ['도포', '환부', '바르']):
admin_type = "외용"
# 내복약 판별 (정제, 츄어블, 캡슐, 시럽, 경구)
elif any(kw in dosage_form for kw in ['정제', '츄어블', '캡슐', '시럽', '산제', '과립', '액제', '경구']) or \
any(kw in easy_cat for kw in ['내복', '경구', '구충', '심장사상충', '정장', '소화']):
admin_type = "내복"
if admin_type:
form_display = info.get('dosage_form', '')[:10] if info.get('dosage_form') else ''
cat_display = info.get('easy_category', '')[:15] if info.get('easy_category') else ''
details.append(f"💊{admin_type}/{form_display}, {cat_display}")
if info.get('target_animals'):
details.append(f"대상: {info['target_animals']}")
if info.get('main_ingredient'):
details.append(f"성분: {info['main_ingredient']}")
if info.get('usage_for'):
details.append(f"용도: {info['usage_for']}")
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)}]"
product_lines.append(line)
available_products_text = f"""
**현재 보유 동물약:**
{chr(10).join(product_lines)}
"""
# 상세 질문 감지 (전역으로 사용)
detail_keywords = ['자세히', '상세히', '더 알려', '설명해', '왜', '어떻게', '원리', '기전', '성분']
is_detail_request = any(kw in last_user_msg for kw in detail_keywords)
# 투여방법 키워드 감지
oral_keywords = ['먹는', '먹이는', '경구', '복용', '츄어블', '정제', '캡슐']
topical_keywords = ['바르는', '도포', '외용', '스팟온', '겔', '크림', '연고']
is_oral_request = any(kw in last_user_msg for kw in oral_keywords)
is_topical_request = any(kw in last_user_msg for kw in topical_keywords)
# 투여방법 필터 안내 추가
admin_filter_note = ""
if is_oral_request and not is_topical_request:
admin_filter_note = "\n\n⚠️ **사용자가 '먹는 약/경구/복용' 질문** → 내복약(정제, 츄어블, 캡슐)만 추천! 외용약(겔, 크림, 도포)은 추천하지 마세요!"
elif is_topical_request and not is_oral_request:
admin_filter_note = "\n\n⚠️ **사용자가 '바르는 약/외용/도포' 질문** → 외용약(겔, 크림, 스팟온)만 추천! 내복약(정제, 츄어블)은 추천하지 마세요!"
# 🚨 엔로플록사신/퀴놀론 관련 질문 감지 → 망막 독성 경고 주입
enro_keywords = ['엔로플록사신', '아시엔로', 'asienro', 'enrofloxacin', '퀴놀론', 'fluoroquinolone', 'baytril', '바이트릴']
is_enro_question = any(kw.lower() in last_user_msg.lower() for kw in enro_keywords)
enro_warning = ""
if is_enro_question:
enro_warning = """
🚨 **[필수 안내] 엔로플록사신 고양이 망막 독성 - 반드시 답변에 포함!**
- FDA 부작용 보고: 산동 454건, 실명 399건, 망막장애 244건
- 고양이는 **5mg/kg/day 절대 초과 금지** (권장: 2.5~5mg/kg)
- 15mg/kg/day × 21일 → 망막 이상, 30mg/kg/day → 급성 실명
- 탈수/신장질환 시 위험 증가 (약물 배설 지연)
- 안전한 대안: Marbofloxacin(마르보플록사신), Pradofloxacin(프라도플록사신)
- ⚠️ 이 경고를 답변 첫 부분에 반드시 언급하세요!
"""
# 벡터 DB 검색 (LanceDB RAG)
vector_context = ""
vector_start = time.time()
try:
from utils.animal_rag import get_animal_rag
if last_user_msg:
n_results = 5 if is_detail_request else 3
rag = get_animal_rag()
vector_results = rag.search(last_user_msg, n_results=n_results)
log_entry.vector_results_count = len(vector_results)
log_entry.vector_top_scores = [r.get('score', 0) for r in vector_results]
log_entry.vector_sources = [f"{r.get('source', '')}#{r.get('section', '')}" for r in vector_results]
vector_context = rag.get_context_for_chat(last_user_msg, n_results=n_results)
# 상세 요청 시 컨텍스트 활용 지시 추가
if is_detail_request and vector_context:
vector_context = "⚠️ 아래 RAG 검색 결과를 적극 활용하여 상세하게 답변하세요!\n\n" + vector_context
except Exception as e:
logging.warning(f"벡터 검색 실패 (무시): {e}")
log_entry.vector_duration_ms = int((time.time() - vector_start) * 1000)
# System Prompt 구성
knowledge_section = ANIMAL_DRUG_KNOWLEDGE + "\n\n" + vector_context if vector_context else ANIMAL_DRUG_KNOWLEDGE
knowledge_section += admin_filter_note # 투여방법 필터 안내 추가
knowledge_section += enro_warning # 🚨 엔로플록사신 망막 독성 경고 추가
system_prompt = ANIMAL_CHAT_SYSTEM_PROMPT.format(
available_products=available_products_text,
knowledge_base=knowledge_section
)
# OpenAI API 호출
openai_start = time.time()
client = OpenAI(api_key=OPENAI_API_KEY)
api_messages = [{"role": "system", "content": system_prompt}]
for msg in messages[-10:]: # 최근 10개 메시지만
api_messages.append({
"role": msg.get("role", "user"),
"content": msg.get("content", "")
})
# max_tokens 동적 설정 (상세 질문 시 증가)
max_tokens = 1500 if is_detail_request else 500
response = client.chat.completions.create(
model=OPENAI_MODEL,
messages=api_messages,
max_tokens=max_tokens,
temperature=0.7
)
ai_response = response.choices[0].message.content
# OpenAI 로깅
log_entry.openai_model = OPENAI_MODEL
log_entry.openai_prompt_tokens = response.usage.prompt_tokens
log_entry.openai_completion_tokens = response.usage.completion_tokens
log_entry.openai_total_tokens = response.usage.total_tokens
log_entry.openai_duration_ms = int((time.time() - openai_start) * 1000)
# 응답에서 언급된 보유 제품 찾기 (부분 매칭)
mentioned_products = []
# 공백 제거한 버전도 준비 (AI가 띄어쓰기 넣을 수 있음)
ai_response_lower = ai_response.lower()
ai_response_nospace = ai_response_lower.replace(' ', '')
# 제품명 길이순 정렬 (긴 이름 우선 매칭 - "안텔민킹"이 "안텔민"보다 먼저)
sorted_drugs = sorted(animal_drugs, key=lambda x: len(x['name']), reverse=True)
for drug in sorted_drugs:
drug_name = drug['name']
# (판) 같은 접두어 제거
clean_name = drug_name
if clean_name.startswith('(판)'):
clean_name = clean_name[3:]
# 제품명에서 핵심 키워드 추출 (괄호 앞부분)
# 예: "다이로하트정M(12~22kg)" → "다이로하트"
base_name = clean_name.split('(')[0].split('/')[0].strip()
# 사이즈 제거: "다이로하트정M" → "다이로하트"
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()
# 핵심 키워드가 AI 응답에 포함되어 있는지 확인
# 공백 있는 버전과 없는 버전 모두 체크
base_lower = base_name.lower()
base_nospace = base_lower.replace(' ', '')
# 기본 매칭
matched = (len(base_name) >= 2 and
(base_lower in ai_response_lower or base_nospace in ai_response_nospace))
# 추가: 상위 키워드 매칭 (예: "안텔민" 언급 시 "안텔민킹", "안텔민뽀삐"도 매칭)
# APC 있는 제품 우선
if not matched and drug.get('apc'):
# 제품명의 핵심 부분 추출 (예: "안텔민킹" → "안텔민")
core_name = base_nospace.rstrip('킹뽀삐')
if len(core_name) >= 2 and core_name in ai_response_nospace:
matched = True
if matched:
# 중복 방지: 이미 추가된 더 specific한 제품이 있으면 건너뜀
# 예: "안텔민킹" 추가됨 → "안텔민" 건너뜀
already_covered = any(
base_nospace in p['name'].lower().replace(' ', '') or
p['name'].lower().replace(' ', '').startswith(base_nospace)
for p in mentioned_products
)
if not already_covered:
mentioned_products.append({
'name': drug_name,
'price': drug['price'],
'code': drug['code'],
'image_url': drug.get('image_url'), # APC 이미지 URL
'stock': drug.get('stock', 0), # 약국 재고
'wholesaler_stock': drug.get('wholesaler_stock', 0), # 도매상 재고
'category': drug.get('category') # 분류 (내부구충제, 심장사상충약 등)
})
# 최종 로깅
log_entry.assistant_response = ai_response
log_entry.products_mentioned = [p['name'] for p in mentioned_products[:5]]
log_entry.total_duration_ms = int((time.time() - total_start) * 1000)
log_chat(log_entry)
return jsonify({
'success': True,
'message': ai_response,
'products': mentioned_products[:5], # 최대 5개
'usage': {
'input_tokens': response.usage.prompt_tokens,
'output_tokens': response.usage.completion_tokens
}
})
except RateLimitError as e:
log_entry.error = f"RateLimitError: {e}"
log_entry.total_duration_ms = int((time.time() - total_start) * 1000)
log_chat(log_entry)
return jsonify({
'success': False,
'message': 'AI 사용량 한도에 도달했습니다. 잠시 후 다시 시도해주세요.'
}), 429
except APITimeoutError as e:
log_entry.error = f"APITimeoutError: {e}"
log_entry.total_duration_ms = int((time.time() - total_start) * 1000)
log_chat(log_entry)
return jsonify({
'success': False,
'message': 'AI 응답 시간이 초과되었습니다. 다시 시도해주세요.'
}), 504
except Exception as e:
logging.error(f"동물약 챗봇 오류: {e}")
log_entry.error = str(e)
log_entry.total_duration_ms = int((time.time() - total_start) * 1000)
log_chat(log_entry)
return jsonify({
'success': False,
'message': f'오류가 발생했습니다: {str(e)}'
}), 500
@app.route('/api/animal-drugs')
def api_animal_drugs():
"""보유 동물약 목록 API"""
try:
drugs = _get_animal_drugs()
return jsonify({
'success': True,
'items': drugs,
'count': len(drugs)
})
except Exception as e:
return jsonify({
'success': False,
'error': str(e)
}), 500
# ===== 제품 검색 페이지 =====
@app.route('/admin/products')
def admin_products():
"""제품 검색 페이지 (전체 재고에서 검색, QR 인쇄)"""
return render_template('admin_products.html')
@app.route('/admin/drug-usage')
def admin_drug_usage():
"""기간별 사용약품 조회 페이지"""
return render_template('admin_drug_usage.html')
@app.route('/admin/members')
def admin_members():
"""회원 검색 페이지 (팜IT3000 CD_PERSON, 알림톡/SMS 발송)"""
return render_template('admin_members.html')
@app.route('/api/products')
def api_products():
"""
제품 검색 API
- 상품명, 상품코드, 바코드로 검색
- 세트상품 바코드도 CD_ITEM_UNIT_MEMBER에서 조회
- in_stock_only: 사용약품만 (IM_total에 재고 있는 제품)
"""
search = request.args.get('search', '').strip()
limit = int(request.args.get('limit', 100))
animal_only = request.args.get('animal_only', '0') == '1'
in_stock_only = request.args.get('in_stock_only', '0') == '1'
# 동물약만 체크시 검색어 없어도 전체 조회 가능
if not animal_only and (not search or len(search) < 2):
return jsonify({'success': False, 'error': '검색어는 2글자 이상 입력하세요'})
try:
drug_session = db_manager.get_session('PM_DRUG')
# WHERE 조건 생성 (동물약 전체 조회 시 검색 조건 없음)
search_condition = ""
if search:
search_condition = """
AND (G.GoodsName LIKE :search_like
OR G.DrugCode LIKE :search_like
OR G.BARCODE LIKE :search_like)
"""
# 동물약만 필터 (쿼리에서 직접 처리)
animal_condition = "AND G.POS_BOON = '010103'" if animal_only else ""
# 제품 검색 쿼리 - 사용약품만 옵션에 따라 JOIN 방식 변경
if in_stock_only:
# 최적화된 쿼리: 재고 있는 제품만 (IM_total INNER JOIN)
# 대표바코드만 표시, 단위바코드 첫번째/갯수, APC(02%)
products_query = text(f"""
SELECT TOP {limit}
G.DrugCode as drug_code,
G.GoodsName as product_name,
ISNULL(NULLIF(G.BARCODE, ''), '') as barcode,
G.Saleprice as sale_price,
G.Price as cost_price,
ISNULL(G.SplName, '') as supplier,
0 as is_set,
G.POS_BOON as pos_boon,
IT.IM_QT_sale_debit as stock,
ISNULL(POS.CD_NM_sale, '') as location,
APC.CD_CD_BARCODE as apc_code,
UNIT_FIRST.CD_CD_BARCODE as unit_barcode,
ISNULL(UNIT_CNT.cnt, 0) as unit_barcode_count
FROM CD_GOODS G
INNER JOIN IM_total IT ON G.DrugCode = IT.DrugCode AND IT.IM_QT_sale_debit > 0
LEFT JOIN CD_item_position POS ON G.DrugCode = POS.DrugCode
OUTER APPLY (
SELECT TOP 1 CD_CD_BARCODE
FROM CD_ITEM_UNIT_MEMBER
WHERE DRUGCODE = G.DrugCode AND CD_CD_BARCODE LIKE '02%'
) APC
OUTER APPLY (
SELECT TOP 1 CD_CD_BARCODE
FROM CD_ITEM_UNIT_MEMBER
WHERE DRUGCODE = G.DrugCode AND CD_CD_BARCODE IS NOT NULL AND CD_CD_BARCODE != ''
) UNIT_FIRST
OUTER APPLY (
SELECT COUNT(*) as cnt
FROM CD_ITEM_UNIT_MEMBER
WHERE DRUGCODE = G.DrugCode AND CD_CD_BARCODE IS NOT NULL AND CD_CD_BARCODE != ''
) UNIT_CNT
WHERE 1=1
{animal_condition}
{search_condition}
ORDER BY G.GoodsName
""")
else:
# 전체 쿼리 (OUTER APPLY 포함, 느림)
# 동물약만 조회 시 OUTER APPLY 생략 가능
if animal_only:
products_query = text(f"""
SELECT TOP {limit}
G.DrugCode as drug_code,
G.GoodsName as product_name,
ISNULL(NULLIF(G.BARCODE, ''), '') as barcode,
G.Saleprice as sale_price,
G.Price as cost_price,
ISNULL(G.SplName, '') as supplier,
0 as is_set,
G.POS_BOON as pos_boon,
ISNULL(IT.IM_QT_sale_debit, 0) as stock,
ISNULL(POS.CD_NM_sale, '') as location,
APC.CD_CD_BARCODE as apc_code,
UNIT_FIRST.CD_CD_BARCODE as unit_barcode,
ISNULL(UNIT_CNT.cnt, 0) as unit_barcode_count
FROM CD_GOODS G
LEFT JOIN IM_total IT ON G.DrugCode = IT.DrugCode
LEFT JOIN CD_item_position POS ON G.DrugCode = POS.DrugCode
OUTER APPLY (
SELECT TOP 1 CD_CD_BARCODE
FROM CD_ITEM_UNIT_MEMBER
WHERE DRUGCODE = G.DrugCode AND CD_CD_BARCODE LIKE '02%'
) APC
OUTER APPLY (
SELECT TOP 1 CD_CD_BARCODE
FROM CD_ITEM_UNIT_MEMBER
WHERE DRUGCODE = G.DrugCode AND CD_CD_BARCODE IS NOT NULL AND CD_CD_BARCODE != ''
) UNIT_FIRST
OUTER APPLY (
SELECT COUNT(*) as cnt
FROM CD_ITEM_UNIT_MEMBER
WHERE DRUGCODE = G.DrugCode AND CD_CD_BARCODE IS NOT NULL AND CD_CD_BARCODE != ''
) UNIT_CNT
WHERE G.POS_BOON = '010103'
{search_condition}
ORDER BY G.GoodsName
""")
else:
products_query = text(f"""
SELECT TOP {limit}
G.DrugCode as drug_code,
G.GoodsName as product_name,
ISNULL(NULLIF(G.BARCODE, ''), '') as barcode,
G.Saleprice as sale_price,
G.Price as cost_price,
CASE
WHEN G.SplName IS NOT NULL AND G.SplName != '' THEN G.SplName
WHEN SET_CHK.is_set = 1 THEN N'세트상품'
ELSE ''
END as supplier,
CASE WHEN SET_CHK.is_set = 1 THEN 1 ELSE 0 END as is_set,
G.POS_BOON as pos_boon,
ISNULL(IT.IM_QT_sale_debit, 0) as stock,
ISNULL(POS.CD_NM_sale, '') as location,
APC.CD_CD_BARCODE as apc_code,
UNIT_FIRST.CD_CD_BARCODE as unit_barcode,
ISNULL(UNIT_CNT.cnt, 0) as unit_barcode_count
FROM CD_GOODS G
LEFT JOIN IM_total IT ON G.DrugCode = IT.DrugCode
LEFT JOIN CD_item_position POS ON G.DrugCode = POS.DrugCode
OUTER APPLY (
SELECT TOP 1 1 as is_set
FROM CD_item_set
WHERE SetCode = G.DrugCode AND DrugCode = 'SET0000'
) SET_CHK
OUTER APPLY (
SELECT TOP 1 CD_CD_BARCODE
FROM CD_ITEM_UNIT_MEMBER
WHERE DRUGCODE = G.DrugCode AND CD_CD_BARCODE LIKE '02%'
) APC
OUTER APPLY (
SELECT TOP 1 CD_CD_BARCODE
FROM CD_ITEM_UNIT_MEMBER
WHERE DRUGCODE = G.DrugCode AND CD_CD_BARCODE IS NOT NULL AND CD_CD_BARCODE != ''
) UNIT_FIRST
OUTER APPLY (
SELECT COUNT(*) as cnt
FROM CD_ITEM_UNIT_MEMBER
WHERE DRUGCODE = G.DrugCode AND CD_CD_BARCODE IS NOT NULL AND CD_CD_BARCODE != ''
) UNIT_CNT
WHERE 1=1
{search_condition}
ORDER BY G.GoodsName
""")
# 파라미터 설정 (검색어가 있을 때만)
params = {}
if search:
params['search_like'] = f'%{search}%'
rows = drug_session.execute(products_query, params).fetchall()
items = []
for row in rows:
is_animal = row.pos_boon == '010103'
# APC 조회 (동물약인 경우)
apc = None
if is_animal:
try:
apc_result = drug_session.execute(text("""
SELECT TOP 1 CD_CD_BARCODE
FROM CD_ITEM_UNIT_MEMBER
WHERE DRUGCODE = :drug_code
AND (CD_CD_BARCODE LIKE '02%' OR CD_CD_BARCODE LIKE '92%')
AND LEN(CD_CD_BARCODE) = 13
"""), {'drug_code': row.drug_code})
apc_row = apc_result.fetchone()
if apc_row:
apc = apc_row[0]
except:
pass
# APC 코드: 쿼리에서 02%로 조회한 것만 사용 (바코드 대체 X)
apc_code = getattr(row, 'apc_code', None) or ''
# 단위바코드 (첫 번째, 갯수)
unit_barcode = getattr(row, 'unit_barcode', None) or ''
unit_barcode_count = getattr(row, 'unit_barcode_count', 0) or 0
# PostgreSQL 조회용 APC (분류/도매재고): apc 또는 apc_code 또는 unit_barcode
pg_apc = apc or apc_code or unit_barcode
items.append({
'drug_code': row.drug_code or '',
'product_name': row.product_name or '',
'barcode': row.barcode or '',
'sale_price': float(row.sale_price) if row.sale_price else 0,
'cost_price': float(row.cost_price) if row.cost_price else 0,
'supplier': row.supplier or '',
'is_set': bool(row.is_set),
'is_animal_drug': is_animal,
'stock': int(row.stock) if row.stock else 0,
'location': row.location or '', # 위치
'apc': apc_code, # UI용 APC 코드 (02로 시작하는 것만)
'unit_barcode': unit_barcode, # 단위바코드 첫 번째 (QR용)
'unit_barcode_count': int(unit_barcode_count), # 단위바코드 갯수 (뱃지용)
'_pg_apc': pg_apc, # PostgreSQL 조회용 (내부용)
'category': None, # PostgreSQL에서 lazy fetch
'wholesaler_stock': None,
'thumbnail': None # 아래에서 채움
})
# 동물약 분류 Lazy Fetch (PostgreSQL) - 실패해도 무시
animal_items = [i for i in items if i['is_animal_drug'] and i.get('_pg_apc')]
if animal_items:
try:
from sqlalchemy import create_engine
pg_engine = create_engine('postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master',
connect_args={'connect_timeout': 3}) # 3초 타임아웃
with pg_engine.connect() as conn:
apc_list = [i['apc'] for i in animal_items if i['apc']]
if apc_list:
placeholders = ','.join([f"'{a}'" for a in apc_list])
# 분류 + 도매상 재고 조회
result = conn.execute(text(f"""
SELECT
A.apc,
A.llm_pharm->>'분류' as category,
COALESCE(SUM(I.quantity), 0) as wholesaler_stock
FROM apc A
LEFT JOIN inventory I ON I.apdb_id = A.idx
WHERE A.apc IN ({placeholders})
GROUP BY A.apc, A.llm_pharm
"""))
pg_map = {row.apc: {'category': row.category, 'ws': int(row.wholesaler_stock)} for row in result}
for item in items:
if item['apc'] and item['apc'] in pg_map:
item['category'] = pg_map[item['apc']]['category']
item['wholesaler_stock'] = pg_map[item['apc']]['ws']
except Exception as pg_err:
logging.warning(f"PostgreSQL 분류 조회 실패 (무시): {pg_err}")
# PostgreSQL 실패해도 MSSQL 데이터는 정상 반환
# 제품 이미지 조회 (product_images.db)
try:
images_db_path = Path(__file__).parent / 'db' / 'product_images.db'
if images_db_path.exists():
img_conn = sqlite3.connect(str(images_db_path))
img_cursor = img_conn.cursor()
barcodes = [item['barcode'] for item in items if item['barcode']]
drug_codes = [item['drug_code'] for item in items if item['drug_code']]
image_map = {}
if barcodes:
placeholders = ','.join(['?' for _ in barcodes])
img_cursor.execute(f'''
SELECT barcode, thumbnail_base64
FROM product_images
WHERE barcode IN ({placeholders}) AND thumbnail_base64 IS NOT NULL
''', barcodes)
for row in img_cursor.fetchall():
image_map[f'bc:{row[0]}'] = row[1]
if drug_codes:
placeholders = ','.join(['?' for _ in drug_codes])
img_cursor.execute(f'''
SELECT drug_code, thumbnail_base64
FROM product_images
WHERE drug_code IN ({placeholders}) AND thumbnail_base64 IS NOT NULL
''', drug_codes)
for row in img_cursor.fetchall():
if f'dc:{row[0]}' not in image_map:
image_map[f'dc:{row[0]}'] = row[1]
img_conn.close()
for item in items:
thumb = image_map.get(f'bc:{item["barcode"]}') or image_map.get(f'dc:{item["drug_code"]}')
if thumb:
item['thumbnail'] = thumb
except Exception as img_err:
logging.warning(f"제품 이미지 조회 오류: {img_err}")
return jsonify({
'success': True,
'items': items,
'count': len(items)
})
except Exception as e:
logging.error(f"제품 검색 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
# ==================== 건조시럽 환산계수 API ====================
@app.route('/api/drug-info/conversion-factor/')
def api_conversion_factor(sung_code):
"""
건조시럽 환산계수 조회 API
PostgreSQL drysyrup 테이블에서 SUNG_CODE로 환산계수 조회
mL → g 변환에 사용 (예: 120ml * 0.11 = 13.2g)
Args:
sung_code: 성분코드 (예: "535000ASY")
Returns:
{
"sung_code": "535000ASY",
"conversion_factor": 0.11,
"ingredient_name": "아목시실린수화물·클라불란산칼륨",
"product_name": "일성오구멘틴듀오시럽 228mg/5ml"
}
연결 실패/데이터 없음 시:
{"sung_code": "...", "conversion_factor": null, ...}
"""
try:
result = db_manager.get_conversion_factor(sung_code)
return jsonify({
'success': True,
'sung_code': sung_code,
'conversion_factor': result['conversion_factor'],
'ingredient_name': result['ingredient_name'],
'product_name': result['product_name']
})
except Exception as e:
logging.error(f"환산계수 조회 오류 (SUNG_CODE={sung_code}): {e}")
# 에러 발생해도 null 반환 (서비스 중단 방지)
return jsonify({
'success': True,
'sung_code': sung_code,
'conversion_factor': None,
'ingredient_name': None,
'product_name': None
})
@app.route('/api/drug-info/drysyrup/', methods=['GET'])
def api_drysyrup_get(sung_code):
"""
건조시럽 전체 정보 조회 API
PostgreSQL drysyrup 테이블에서 SUNG_CODE로 전체 정보 조회
"""
try:
session = db_manager.get_postgres_session()
if session is None:
return jsonify({
'success': True,
'exists': False,
'error': 'PostgreSQL 연결 실패'
})
query = text("""
SELECT
ingredient_code,
ingredient_name,
product_name,
conversion_factor,
post_prep_amount,
main_ingredient_amt,
storage_conditions,
expiration_date
FROM drysyrup
WHERE ingredient_code = :sung_code
LIMIT 1
""")
row = session.execute(query, {'sung_code': sung_code}).fetchone()
if not row:
return jsonify({
'success': True,
'exists': False
})
return jsonify({
'success': True,
'exists': True,
'sung_code': row[0],
'ingredient_name': row[1],
'product_name': row[2],
'conversion_factor': float(row[3]) if row[3] is not None else None,
'post_prep_amount': row[4],
'main_ingredient_amt': row[5],
'storage_conditions': row[6],
'expiration_date': row[7]
})
except Exception as e:
logging.error(f"건조시럽 조회 오류 (SUNG_CODE={sung_code}): {e}")
return jsonify({
'success': True,
'exists': False,
'error': str(e)
})
@app.route('/api/drug-info/drysyrup', methods=['POST'])
def api_drysyrup_create():
"""
건조시럽 신규 등록 API
"""
try:
data = request.get_json()
if not data or not data.get('sung_code'):
return jsonify({'success': False, 'error': '성분코드 필수'}), 400
session = db_manager.get_postgres_session()
if session is None:
return jsonify({'success': False, 'error': 'PostgreSQL 연결 실패'}), 500
# 중복 체크
check_query = text("SELECT 1 FROM drysyrup WHERE ingredient_code = :sung_code")
existing = session.execute(check_query, {'sung_code': data['sung_code']}).fetchone()
if existing:
return jsonify({'success': False, 'error': '이미 등록된 성분코드'}), 400
insert_query = text("""
INSERT INTO drysyrup (
ingredient_code, ingredient_name, product_name,
conversion_factor, post_prep_amount, main_ingredient_amt,
storage_conditions, expiration_date
) VALUES (
:sung_code, :ingredient_name, :product_name,
:conversion_factor, :post_prep_amount, :main_ingredient_amt,
:storage_conditions, :expiration_date
)
""")
session.execute(insert_query, {
'sung_code': data.get('sung_code'),
'ingredient_name': data.get('ingredient_name', ''),
'product_name': data.get('product_name', ''),
'conversion_factor': data.get('conversion_factor'),
'post_prep_amount': data.get('post_prep_amount', ''),
'main_ingredient_amt': data.get('main_ingredient_amt', ''),
'storage_conditions': data.get('storage_conditions', '실온'),
'expiration_date': data.get('expiration_date', '')
})
session.commit()
return jsonify({'success': True, 'message': '등록 완료'})
except Exception as e:
logging.error(f"건조시럽 등록 오류: {e}")
try:
session.rollback()
except:
pass
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/drug-info/drysyrup/', methods=['PUT'])
def api_drysyrup_update(sung_code):
"""
건조시럽 정보 수정 API
"""
try:
data = request.get_json()
if not data:
return jsonify({'success': False, 'error': '데이터 필수'}), 400
session = db_manager.get_postgres_session()
if session is None:
return jsonify({'success': False, 'error': 'PostgreSQL 연결 실패'}), 500
# 존재 여부 확인
check_query = text("SELECT 1 FROM drysyrup WHERE ingredient_code = :sung_code")
existing = session.execute(check_query, {'sung_code': sung_code}).fetchone()
if not existing:
# 없으면 신규 등록으로 처리
insert_query = text("""
INSERT INTO drysyrup (
ingredient_code, ingredient_name, product_name,
conversion_factor, post_prep_amount, main_ingredient_amt,
storage_conditions, expiration_date
) VALUES (
:sung_code, :ingredient_name, :product_name,
:conversion_factor, :post_prep_amount, :main_ingredient_amt,
:storage_conditions, :expiration_date
)
""")
session.execute(insert_query, {
'sung_code': sung_code,
'ingredient_name': data.get('ingredient_name', ''),
'product_name': data.get('product_name', ''),
'conversion_factor': data.get('conversion_factor'),
'post_prep_amount': data.get('post_prep_amount', ''),
'main_ingredient_amt': data.get('main_ingredient_amt', ''),
'storage_conditions': data.get('storage_conditions', '실온'),
'expiration_date': data.get('expiration_date', '')
})
else:
# 있으면 업데이트
update_query = text("""
UPDATE drysyrup SET
ingredient_name = :ingredient_name,
product_name = :product_name,
conversion_factor = :conversion_factor,
post_prep_amount = :post_prep_amount,
main_ingredient_amt = :main_ingredient_amt,
storage_conditions = :storage_conditions,
expiration_date = :expiration_date
WHERE ingredient_code = :sung_code
""")
session.execute(update_query, {
'sung_code': sung_code,
'ingredient_name': data.get('ingredient_name', ''),
'product_name': data.get('product_name', ''),
'conversion_factor': data.get('conversion_factor'),
'post_prep_amount': data.get('post_prep_amount', ''),
'main_ingredient_amt': data.get('main_ingredient_amt', ''),
'storage_conditions': data.get('storage_conditions', '실온'),
'expiration_date': data.get('expiration_date', '')
})
session.commit()
return jsonify({'success': True, 'message': '저장 완료'})
except Exception as e:
logging.error(f"건조시럽 수정 오류 (SUNG_CODE={sung_code}): {e}")
try:
session.rollback()
except:
pass
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/drug-info/drysyrup', methods=['GET'])
def api_drysyrup_list():
"""
건조시럽 전체 목록 조회 API
Query params:
q: 검색어 (성분명/제품명 검색)
Returns:
{ "success": true, "data": [...] }
"""
try:
session = db_manager.get_postgres_session()
if session is None:
return jsonify({
'success': False,
'error': 'PostgreSQL 연결 실패',
'data': []
})
search_query = request.args.get('q', '').strip()
if search_query:
query = text("""
SELECT
idx,
ingredient_code,
ingredient_name,
product_name,
conversion_factor,
post_prep_amount,
main_ingredient_amt,
storage_conditions,
expiration_date
FROM drysyrup
WHERE
ingredient_name ILIKE :search
OR product_name ILIKE :search
OR ingredient_code ILIKE :search
ORDER BY ingredient_name, product_name
""")
rows = session.execute(query, {'search': f'%{search_query}%'}).fetchall()
else:
query = text("""
SELECT
idx,
ingredient_code,
ingredient_name,
product_name,
conversion_factor,
post_prep_amount,
main_ingredient_amt,
storage_conditions,
expiration_date
FROM drysyrup
ORDER BY ingredient_name, product_name
""")
rows = session.execute(query).fetchall()
data = []
for row in rows:
data.append({
'idx': row[0],
'sung_code': row[1],
'ingredient_name': row[2],
'product_name': row[3],
'conversion_factor': float(row[4]) if row[4] is not None else None,
'post_prep_amount': row[5],
'main_ingredient_amt': row[6],
'storage_conditions': row[7],
'expiration_date': row[8]
})
return jsonify({
'success': True,
'data': data,
'count': len(data)
})
except Exception as e:
logging.error(f"건조시럽 목록 조회 오류: {e}")
return jsonify({
'success': False,
'error': str(e),
'data': []
}), 500
@app.route('/api/drug-info/drysyrup/', methods=['DELETE'])
def api_drysyrup_delete(sung_code):
"""
건조시럽 삭제 API
"""
try:
session = db_manager.get_postgres_session()
if session is None:
return jsonify({'success': False, 'error': 'PostgreSQL 연결 실패'}), 500
# 존재 여부 확인
check_query = text("SELECT 1 FROM drysyrup WHERE ingredient_code = :sung_code")
existing = session.execute(check_query, {'sung_code': sung_code}).fetchone()
if not existing:
return jsonify({'success': False, 'error': '존재하지 않는 성분코드'}), 404
# 삭제
delete_query = text("DELETE FROM drysyrup WHERE ingredient_code = :sung_code")
session.execute(delete_query, {'sung_code': sung_code})
session.commit()
return jsonify({'success': True, 'message': '삭제 완료'})
except Exception as e:
logging.error(f"건조시럽 삭제 오류 (SUNG_CODE={sung_code}): {e}")
try:
session.rollback()
except:
pass
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/admin/drysyrup')
def admin_drysyrup():
"""건조시럽 환산계수 관리 페이지"""
return render_template('admin_drysyrup.html')
# ==================== 입고이력 API ====================
@app.route('/api/drugs//purchase-history')
def api_drug_purchase_history(drug_code):
"""
약품 입고이력 조회 API
- WH_sub: 입고 상세 (약품코드, 수량, 단가)
- WH_main: 입고 마스터 (입고일, 도매상코드)
- PM_BASE.CD_custom: 도매상명
"""
try:
drug_session = db_manager.get_session('PM_DRUG')
# 입고이력 조회 (최근 100건)
result = drug_session.execute(text("""
SELECT TOP 100
m.WH_DT_appl as purchase_date,
COALESCE(c.CD_NM_custom, m.WH_BUSINAME, '미확인') as supplier_name,
CAST(COALESCE(s.WH_NM_item_a, 0) AS INT) as quantity,
CAST(COALESCE(s.WH_MY_unit_a, 0) AS INT) as unit_price,
c.CD_TEL_charge1 as supplier_tel
FROM WH_sub s
JOIN WH_main m ON m.WH_NO_stock = s.WH_SR_stock AND m.WH_DT_appl = s.WH_DT_appl
LEFT JOIN PM_BASE.dbo.CD_custom c ON m.WH_CD_cust_sale = c.CD_CD_custom
WHERE s.DrugCode = :drug_code
ORDER BY m.WH_DT_appl DESC
"""), {'drug_code': drug_code})
history = []
for row in result.fetchall():
# 날짜 포맷팅 (YYYYMMDD -> YYYY-MM-DD)
date_str = row.purchase_date or ''
if len(date_str) == 8:
date_str = f"{date_str[:4]}-{date_str[4:6]}-{date_str[6:8]}"
history.append({
'date': date_str,
'supplier': row.supplier_name or '미확인',
'quantity': row.quantity or 0,
'unit_price': row.unit_price or 0,
'supplier_tel': row.supplier_tel or ''
})
# 약품명 조회
name_result = drug_session.execute(text("""
SELECT GoodsName FROM CD_GOODS WHERE DrugCode = :drug_code
"""), {'drug_code': drug_code})
name_row = name_result.fetchone()
drug_name = name_row[0] if name_row else drug_code
return jsonify({
'success': True,
'drug_code': drug_code,
'drug_name': drug_name,
'history': history,
'count': len(history)
})
except Exception as e:
logging.error(f"입고이력 조회 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
# ==================== 처방 사용이력 API ====================
@app.route('/api/products//usage-history')
def api_product_usage_history(drug_code):
"""
제품 처방 사용이력 조회 API
- PS_main + PS_sub_pharm JOIN
- 페이지네이션, 기간 필터 지원
- 환자명 마스킹 처리
"""
page = int(request.args.get('page', 1))
per_page = int(request.args.get('per_page', 20))
months = int(request.args.get('months', 12))
offset = (page - 1) * per_page
try:
pres_session = db_manager.get_session('PM_PRES')
# 기간 계산 (N개월 전부터)
from datetime import datetime, timedelta
start_date = (datetime.now() - timedelta(days=months * 30)).strftime('%Y%m%d')
# 총 건수 조회 (COUNT)
count_result = pres_session.execute(text("""
SELECT COUNT(*) as total_count
FROM PS_sub_pharm sp
JOIN PS_main pm ON pm.PreSerial = sp.PreSerial
WHERE sp.DrugCode = :drug_code
AND pm.Indate >= :start_date
AND (sp.PS_Type IS NULL OR sp.PS_Type != '9')
"""), {'drug_code': drug_code, 'start_date': start_date})
total_count = count_result.fetchone()[0]
# 데이터 조회 (페이지네이션)
data_result = pres_session.execute(text("""
SELECT
pm.Paname as patient_name,
pm.CusCode as cus_code,
pm.Indate as rx_date,
sp.QUAN as quantity,
sp.QUAN_TIME as times,
sp.Days as days
FROM PS_sub_pharm sp
JOIN PS_main pm ON pm.PreSerial = sp.PreSerial
WHERE sp.DrugCode = :drug_code
AND pm.Indate >= :start_date
AND (sp.PS_Type IS NULL OR sp.PS_Type != '9')
ORDER BY pm.Indate DESC
OFFSET :offset ROWS
FETCH NEXT :per_page ROWS ONLY
"""), {
'drug_code': drug_code,
'start_date': start_date,
'offset': offset,
'per_page': per_page
})
items = []
for row in data_result.fetchall():
patient_name = row.patient_name or ''
cus_code = row.cus_code or ''
# 날짜 포맷팅 (YYYYMMDD -> YYYY-MM-DD)
rx_date = row.rx_date or ''
if len(rx_date) == 8:
rx_date = f"{rx_date[:4]}-{rx_date[4:6]}-{rx_date[6:8]}"
quantity = int(row.quantity) if row.quantity else 1
times = int(row.times) if row.times else 1 # 횟수 (QUAN_TIME)
days = int(row.days) if row.days else 1
total_dose = quantity * times * days # 수량 × 횟수 × 일수
items.append({
'patient_name': patient_name,
'cus_code': cus_code,
'rx_date': rx_date,
'quantity': quantity,
'times': times,
'days': days,
'total_dose': total_dose
})
# 약품명 조회
drug_session = db_manager.get_session('PM_DRUG')
name_result = drug_session.execute(text("""
SELECT GoodsName FROM CD_GOODS WHERE DrugCode = :drug_code
"""), {'drug_code': drug_code})
name_row = name_result.fetchone()
product_name = name_row[0] if name_row else drug_code
# 총 페이지 수 계산
total_pages = (total_count + per_page - 1) // per_page
return jsonify({
'success': True,
'product_name': product_name,
'pagination': {
'page': page,
'per_page': per_page,
'total_count': total_count,
'total_pages': total_pages
},
'items': items
})
except Exception as e:
logging.error(f"사용이력 조회 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/patients//recent-prescriptions')
def api_patient_recent_prescriptions(cus_code):
"""
환자 최근 처방 내역 조회 API
- 해당 환자가 최근에 어떤 약을 처방받았는지 확인
- DB 부담 최소화: 최근 6개월, 최대 30건
"""
try:
pres_session = db_manager.get_session('PM_PRES')
drug_session = db_manager.get_session('PM_DRUG')
# 최근 6개월
from datetime import datetime, timedelta
start_date = (datetime.now() - timedelta(days=180)).strftime('%Y%m%d')
# 환자의 최근 처방전 조회 (최대 10건)
rx_result = pres_session.execute(text("""
SELECT TOP 10
pm.PreSerial,
pm.Paname as patient_name,
pm.Indate as rx_date,
pm.Drname as doctor_name,
pm.OrderName as hospital_name
FROM PS_main pm
WHERE pm.CusCode = :cus_code
AND pm.Indate >= :start_date
ORDER BY pm.Indate DESC
"""), {'cus_code': cus_code, 'start_date': start_date})
prescriptions = []
for rx in rx_result.fetchall():
# 날짜 포맷팅
rx_date = rx.rx_date or ''
if len(rx_date) == 8:
rx_date = f"{rx_date[:4]}-{rx_date[4:6]}-{rx_date[6:8]}"
# 해당 처방의 약품 목록 조회
items_result = pres_session.execute(text("""
SELECT
sp.DrugCode,
sp.QUAN as quantity,
sp.QUAN_TIME as times,
sp.Days as days
FROM PS_sub_pharm sp
WHERE sp.PreSerial = :pre_serial
AND (sp.PS_Type IS NULL OR sp.PS_Type != '9')
"""), {'pre_serial': rx.PreSerial})
# 먼저 모든 약품 데이터를 리스트로 가져오기
raw_items = items_result.fetchall()
drug_codes = [item.DrugCode for item in raw_items]
# 약품명 + 성분명 + 분류(PRINT_TYPE) 일괄 조회
drug_info_map = {}
if drug_codes:
placeholders = ','.join([f"'{dc}'" for dc in drug_codes])
name_result = drug_session.execute(text(f"""
SELECT g.DrugCode, g.GoodsName, s.SUNG_HNM, m.PRINT_TYPE
FROM CD_GOODS g
LEFT JOIN CD_SUNG s ON g.SUNG_CODE = s.SUNG_CODE
LEFT JOIN CD_MC m ON g.DrugCode = m.DRUGCODE
WHERE g.DrugCode IN ({placeholders})
"""))
for row in name_result.fetchall():
drug_info_map[row[0]] = {
'name': row[1],
'ingredient': row[2] or '',
'category': row[3] or '' # 분류 (알러지질환약 등)
}
items = []
for item in raw_items:
info = drug_info_map.get(item.DrugCode, {})
drug_name = info.get('name', item.DrugCode)
ingredient = info.get('ingredient', '')
category = info.get('category', '') # 분류 (알러지질환약 등)
quantity = int(item.quantity) if item.quantity else 1
times = int(item.times) if item.times else 1
days = int(item.days) if item.days else 1
items.append({
'drug_code': item.DrugCode,
'drug_name': drug_name,
'category': category, # 분류 추가
'quantity': quantity,
'times': times,
'days': days,
'total_dose': quantity * times * days
})
prescriptions.append({
'pre_serial': rx.PreSerial,
'rx_date': rx_date,
'doctor_name': rx.doctor_name or '',
'hospital_name': rx.hospital_name or '',
'items': items
})
# 환자명
patient_name = prescriptions[0]['items'][0]['drug_name'] if prescriptions else ''
if prescriptions and pres_session.execute(text("""
SELECT TOP 1 Paname FROM PS_main WHERE CusCode = :cus_code
"""), {'cus_code': cus_code}).fetchone():
patient_name = pres_session.execute(text("""
SELECT TOP 1 Paname FROM PS_main WHERE CusCode = :cus_code
"""), {'cus_code': cus_code}).fetchone()[0]
return jsonify({
'success': True,
'cus_code': cus_code,
'patient_name': patient_name,
'prescription_count': len(prescriptions),
'prescriptions': prescriptions
})
except Exception as e:
logging.error(f"환자 처방 조회 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
# ==================== 위치 정보 API ====================
@app.route('/api/locations')
def api_get_all_locations():
"""모든 위치명 목록 조회"""
try:
drug_session = db_manager.get_session('PM_DRUG')
result = drug_session.execute(text("""
SELECT DISTINCT CD_NM_sale
FROM CD_item_position
WHERE CD_NM_sale IS NOT NULL AND CD_NM_sale != ''
ORDER BY CD_NM_sale
"""))
locations = [row[0] for row in result.fetchall()]
return jsonify({
'success': True,
'locations': locations,
'total': len(locations)
})
except Exception as e:
logging.error(f"위치 목록 조회 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/drugs//location', methods=['PUT'])
def api_update_drug_location(drug_code):
"""약품 위치 업데이트"""
try:
data = request.get_json()
location_name = data.get('location_name', '').strip() if data else ''
# 위치명 길이 검증 (최대 20자)
if location_name and len(location_name) > 20:
return jsonify({'success': False, 'error': '위치명은 20자를 초과할 수 없습니다'}), 400
drug_session = db_manager.get_session('PM_DRUG')
# 기존 레코드 확인
existing = drug_session.execute(text("""
SELECT DrugCode FROM CD_item_position WHERE DrugCode = :drug_code
"""), {'drug_code': drug_code}).fetchone()
if existing:
# UPDATE
if location_name:
drug_session.execute(text("""
UPDATE CD_item_position SET CD_NM_sale = :location WHERE DrugCode = :drug_code
"""), {'location': location_name, 'drug_code': drug_code})
else:
# 빈 값이면 삭제
drug_session.execute(text("""
DELETE FROM CD_item_position WHERE DrugCode = :drug_code
"""), {'drug_code': drug_code})
else:
# INSERT (위치가 있을 때만)
if location_name:
drug_session.execute(text("""
INSERT INTO CD_item_position (DrugCode, CD_NM_sale) VALUES (:drug_code, :location)
"""), {'drug_code': drug_code, 'location': location_name})
drug_session.commit()
return jsonify({
'success': True,
'message': '위치 정보가 업데이트되었습니다',
'location': location_name
})
except Exception as e:
logging.error(f"위치 업데이트 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/admin/sales')
def admin_sales_pos():
"""판매 내역 페이지 (POS 스타일, 거래별 그룹핑)"""
return render_template('admin_sales_pos.html')
@app.route('/api/sales-detail')
def api_sales_detail():
"""
판매 상세 조회 API (바코드 포함)
GET /api/sales-detail?days=7&search=타이레놀&barcode=has&customer=홍길동
"""
try:
days = int(request.args.get('days', 7))
search = request.args.get('search', '').strip()
barcode_filter = request.args.get('barcode', 'all') # all, has, none
mssql_session = db_manager.get_session('PM_PRES')
drug_session = db_manager.get_session('PM_DRUG')
# 판매 내역 조회 (최근 N일)
# CD_GOODS.BARCODE가 없으면 CD_ITEM_UNIT_MEMBER.CD_CD_BARCODE 사용 (세트상품/자체등록 바코드)
# 세트상품 여부 확인: CD_item_set에 SetCode로 존재하면 세트상품
sales_query = text("""
SELECT
S.SL_DT_appl as sale_date,
S.SL_NO_order as item_order,
S.DrugCode as drug_code,
ISNULL(G.GoodsName, '알 수 없음') as product_name,
COALESCE(NULLIF(G.BARCODE, ''), U.CD_CD_BARCODE, '') as barcode,
CASE
WHEN G.SplName IS NOT NULL AND G.SplName != '' THEN G.SplName
WHEN SET_CHK.is_set = 1 THEN '세트상품'
ELSE ''
END as supplier,
ISNULL(S.QUAN, 1) as quantity,
ISNULL(S.SL_TOTAL_PRICE, 0) as total_price_db,
ISNULL(G.Saleprice, 0) as unit_price
FROM SALE_SUB S
LEFT JOIN PM_DRUG.dbo.CD_GOODS G ON S.DrugCode = G.DrugCode
OUTER APPLY (
SELECT TOP 1 CD_CD_BARCODE
FROM PM_DRUG.dbo.CD_ITEM_UNIT_MEMBER
WHERE DRUGCODE = S.DrugCode AND CD_CD_BARCODE IS NOT NULL AND CD_CD_BARCODE != ''
) U
OUTER APPLY (
SELECT TOP 1 1 as is_set
FROM PM_DRUG.dbo.CD_item_set
WHERE SetCode = S.DrugCode AND DrugCode = 'SET0000'
) SET_CHK
WHERE S.SL_DT_appl >= CONVERT(VARCHAR(8), DATEADD(DAY, -:days, GETDATE()), 112)
ORDER BY S.SL_DT_appl DESC, S.SL_NO_order DESC
""")
rows = mssql_session.execute(sales_query, {'days': days}).fetchall()
items = []
total_amount = 0
barcode_count = 0
unique_products = set()
for row in rows:
drug_code = row.drug_code or ''
product_name = row.product_name or ''
barcode = row.barcode or ''
# 검색 필터 (상품명, 코드, 바코드)
if search:
search_lower = search.lower()
if (search_lower not in product_name.lower() and
search_lower not in drug_code.lower() and
search_lower not in barcode.lower()):
continue
# 바코드 필터
if barcode_filter == 'has' and not barcode:
continue
if barcode_filter == 'none' and barcode:
continue
# 표준코드 조회 (CD_BARCODE 테이블)
standard_code = ''
if barcode:
try:
std_result = drug_session.execute(text("""
SELECT BASECODE FROM CD_BARCODE WHERE BARCODE = :barcode
"""), {'barcode': barcode}).fetchone()
if std_result and std_result[0]:
standard_code = std_result[0]
except:
pass
quantity = int(row.quantity or 1)
unit_price = float(row.unit_price or 0)
total_price_from_db = float(row.total_price_db or 0)
# DB에 합계가 있으면 사용, 없으면 계산
total_price = total_price_from_db if total_price_from_db > 0 else (quantity * unit_price)
# 날짜 포맷팅
sale_date_str = str(row.sale_date or '')
if len(sale_date_str) == 8:
sale_date_str = f"{sale_date_str[:4]}-{sale_date_str[4:6]}-{sale_date_str[6:]}"
items.append({
'sale_date': sale_date_str,
'drug_code': drug_code,
'product_name': product_name,
'barcode': barcode,
'standard_code': standard_code,
'supplier': row.supplier or '',
'quantity': quantity,
'unit_price': int(unit_price),
'total_price': int(total_price),
'thumbnail': None # 나중에 채워짐
})
total_amount += total_price
if barcode:
barcode_count += 1
unique_products.add(drug_code)
# 제품 이미지 조회 (product_images.db에서)
try:
images_db_path = Path(__file__).parent / 'db' / 'product_images.db'
if images_db_path.exists():
img_conn = sqlite3.connect(str(images_db_path))
img_cursor = img_conn.cursor()
# barcode와 drug_code 수집
barcodes = [item['barcode'] for item in items if item['barcode']]
drug_codes = [item['drug_code'] for item in items if item['drug_code']]
# 이미지 조회 (barcode 또는 drug_code로 매칭)
image_map = {}
if barcodes:
placeholders = ','.join(['?' for _ in barcodes])
img_cursor.execute(f'''
SELECT barcode, thumbnail_base64
FROM product_images
WHERE barcode IN ({placeholders}) AND thumbnail_base64 IS NOT NULL
''', barcodes)
for row in img_cursor.fetchall():
image_map[f'bc:{row[0]}'] = row[1]
if drug_codes:
placeholders = ','.join(['?' for _ in drug_codes])
img_cursor.execute(f'''
SELECT drug_code, thumbnail_base64
FROM product_images
WHERE drug_code IN ({placeholders}) AND thumbnail_base64 IS NOT NULL
''', drug_codes)
for row in img_cursor.fetchall():
if f'dc:{row[0]}' not in image_map: # barcode 우선
image_map[f'dc:{row[0]}'] = row[1]
img_conn.close()
# 아이템에 썸네일 매핑
for item in items:
thumb = image_map.get(f'bc:{item["barcode"]}') or image_map.get(f'dc:{item["drug_code"]}')
if thumb:
item['thumbnail'] = thumb
except Exception as img_err:
logging.warning(f"제품 이미지 조회 오류: {img_err}")
# 바코드 매핑률 계산
barcode_rate = round(barcode_count / len(items) * 100, 1) if items else 0
# 이미지 매핑률 계산
image_count = sum(1 for item in items if item.get('thumbnail'))
image_rate = round(image_count / len(items) * 100, 1) if items else 0
return jsonify({
'success': True,
'items': items[:500], # 최대 500건
'stats': {
'total_count': len(items),
'total_amount': int(total_amount),
'barcode_rate': barcode_rate,
'image_rate': image_rate,
'unique_products': len(unique_products)
}
})
except Exception as e:
logging.error(f"판매 상세 조회 오류: {e}")
return jsonify({
'success': False,
'error': str(e)
}), 500
# ===== 사용량 조회 페이지 및 API =====
@app.route('/admin/usage')
def admin_usage():
"""OTC 사용량 조회 · 주문 페이지"""
return render_template('admin_usage.html')
@app.route('/admin/rx-usage')
def admin_rx_usage():
"""전문의약품 사용량 조회 · 주문 페이지"""
return render_template('admin_rx_usage.html')
@app.route('/admin/price-trend')
def admin_price_trend():
"""가격 변동 추이 분석 페이지"""
return render_template('admin_price_trend.html')
@app.route('/api/price-trend/search')
def api_price_trend_search():
"""
가격 추이 분석용 약품 검색 API (자동완성)
GET /api/price-trend/search?q=검색어&limit=15
"""
try:
query = request.args.get('q', '').strip()
limit = min(int(request.args.get('limit', 15)), 30) # 최대 30개
if not query or len(query) < 2:
return jsonify({'success': True, 'items': []})
mssql_session = db_manager.get_session('PM_PRES')
# SALE_sub에서 판매 기록이 있는 약품 검색 (TOP 값 직접 삽입)
search_query = text(f"""
SELECT TOP {limit}
S.BARCODE as barcode,
S.DrugCode as drug_code,
ISNULL(G.GoodsName, '알 수 없음') as product_name,
COUNT(*) as sale_count
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 != ''
AND (S.BARCODE LIKE :query OR G.GoodsName LIKE :query_like)
GROUP BY S.BARCODE, S.DrugCode, G.GoodsName
ORDER BY COUNT(*) DESC
""")
results = mssql_session.execute(search_query, {
'query': query,
'query_like': f'%{query}%'
}).fetchall()
items = []
for row in results:
items.append({
'barcode': row[0],
'drug_code': row[1],
'product_name': row[2],
'sale_count': int(row[3])
})
return jsonify({'success': True, 'items': items})
except Exception as e:
logging.error(f"가격 추이 검색 실패: {e}")
return jsonify({'success': False, 'error': str(e), 'items': []})
@app.route('/api/price-trend')
def api_price_trend():
"""
제품별 가격 변동 추이 조회 API
GET /api/price-trend?query=바코드또는약품명&period=365
"""
try:
query = request.args.get('query', '').strip()
period = int(request.args.get('period', 365)) # 기간 (일)
if not query:
return jsonify({'success': False, 'error': '검색어를 입력하세요'})
mssql_session = db_manager.get_session('PM_PRES')
# 기간 계산
if period > 0:
from datetime import datetime, timedelta
start_date = (datetime.now() - timedelta(days=period)).strftime('%Y%m%d')
date_condition = f"AND S.SL_DT_appl >= '{start_date}'"
else:
date_condition = ""
# 바코드로 먼저 검색, 없으면 약품명으로 검색
barcode_query = text(f"""
SELECT TOP 1 BARCODE, DrugCode
FROM SALE_sub
WHERE BARCODE = :query OR DrugCode = :query
""")
result = mssql_session.execute(barcode_query, {'query': query}).fetchone()
if result:
barcode = result[0]
drug_code = result[1]
else:
# 약품명으로 검색
name_query = text("""
SELECT TOP 1 S.BARCODE, S.DrugCode
FROM SALE_sub S
LEFT JOIN PM_DRUG.dbo.CD_GOODS G ON S.DrugCode = G.DrugCode
WHERE G.GoodsName LIKE :query
AND S.BARCODE IS NOT NULL AND S.BARCODE != ''
""")
result = mssql_session.execute(name_query, {'query': f'%{query}%'}).fetchone()
if not result:
return jsonify({'success': False, 'error': f'"{query}"에 대한 판매 기록이 없습니다'})
barcode = result[0]
drug_code = result[1]
# 약품명 조회
name_query = text("""
SELECT GoodsName FROM PM_DRUG.dbo.CD_GOODS WHERE DrugCode = :drug_code
""")
name_result = mssql_session.execute(name_query, {'drug_code': drug_code}).fetchone()
product_name = name_result[0] if name_result else '알 수 없음'
# 일별 가격/마진 데이터 조회
trend_query = text(f"""
SELECT
SL_DT_appl as date,
AVG(SL_NM_cost_a) as avg_price,
AVG(INPRICE) as avg_cost,
AVG(SL_NM_cost_a - INPRICE) as avg_margin,
CASE
WHEN AVG(SL_NM_cost_a) > 0
THEN ROUND((AVG(SL_NM_cost_a) - AVG(INPRICE)) / AVG(SL_NM_cost_a) * 100, 1)
ELSE 0
END as margin_rate,
COUNT(*) as count
FROM SALE_sub S
WHERE S.BARCODE = :barcode
{date_condition}
GROUP BY SL_DT_appl
ORDER BY SL_DT_appl
""")
results = mssql_session.execute(trend_query, {'barcode': barcode}).fetchall()
if not results:
return jsonify({'success': False, 'error': '해당 기간에 판매 기록이 없습니다'})
# 데이터 변환
data = []
for row in results:
data.append({
'date': row[0],
'avg_price': float(row[1] or 0),
'avg_cost': float(row[2] or 0),
'avg_margin': float(row[3] or 0),
'margin_rate': float(row[4] or 0),
'count': int(row[5] or 0)
})
# 통계 계산
prices = [d['avg_price'] for d in data]
costs = [d['avg_cost'] for d in data]
margins = [d['margin_rate'] for d in data]
stats = {
'current_price': data[-1]['avg_price'] if data else 0,
'current_cost': data[-1]['avg_cost'] if data else 0,
'current_margin': data[-1]['margin_rate'] if data else 0,
'min_price': min(prices) if prices else 0,
'max_price': max(prices) if prices else 0,
'min_cost': min(costs) if costs else 0,
'max_cost': max(costs) if costs else 0,
'min_margin': min(margins) if margins else 0,
'max_margin': max(margins) if margins else 0,
'total_count': sum(d['count'] for d in data),
'first_date': data[0]['date'] if data else '',
'last_date': data[-1]['date'] if data else ''
}
return jsonify({
'success': True,
'barcode': barcode,
'product_name': product_name,
'data': data,
'stats': stats
})
except Exception as e:
logging.error(f"가격 변동 추이 조회 실패: {e}")
import traceback
traceback.print_exc()
return jsonify({'success': False, 'error': str(e)})
@app.route('/api/usage')
def api_usage():
"""
기간별 품목 사용량 조회 API
GET /api/usage?start_date=2026-01-01&end_date=2026-01-31&search=타이레놀&sort=qty_desc
"""
try:
start_date = request.args.get('start_date', '')
end_date = request.args.get('end_date', '')
search = request.args.get('search', '').strip()
sort = request.args.get('sort', 'qty_desc') # qty_desc, qty_asc, name_asc, amount_desc
# 날짜 형식 변환 (YYYY-MM-DD -> YYYYMMDD)
start_date_fmt = start_date.replace('-', '') if start_date else datetime.now().strftime('%Y%m%d')
end_date_fmt = end_date.replace('-', '') if end_date else datetime.now().strftime('%Y%m%d')
mssql_session = db_manager.get_session('PM_PRES')
# 품목별 사용량 집계 쿼리
usage_query = text("""
SELECT
S.DrugCode as drug_code,
ISNULL(G.GoodsName, '알 수 없음') as product_name,
CASE
WHEN G.SplName IS NOT NULL AND G.SplName != '' THEN G.SplName
WHEN SET_CHK.is_set = 1 THEN '세트상품'
ELSE ''
END as supplier,
SUM(ISNULL(S.QUAN, 1)) as total_qty,
SUM(ISNULL(S.SL_TOTAL_PRICE, 0)) as total_amount,
COALESCE(NULLIF(G.BARCODE, ''), U.CD_CD_BARCODE, '') as barcode
FROM SALE_SUB S
LEFT JOIN PM_DRUG.dbo.CD_GOODS G ON S.DrugCode = G.DrugCode
OUTER APPLY (
SELECT TOP 1 CD_CD_BARCODE
FROM PM_DRUG.dbo.CD_ITEM_UNIT_MEMBER
WHERE DRUGCODE = S.DrugCode AND CD_CD_BARCODE IS NOT NULL AND CD_CD_BARCODE != ''
) U
OUTER APPLY (
SELECT TOP 1 1 as is_set
FROM PM_DRUG.dbo.CD_item_set
WHERE SetCode = S.DrugCode AND DrugCode = 'SET0000'
) SET_CHK
WHERE S.SL_DT_appl >= :start_date
AND S.SL_DT_appl <= :end_date
GROUP BY S.DrugCode, G.GoodsName, G.SplName, SET_CHK.is_set, G.BARCODE, U.CD_CD_BARCODE
ORDER BY SUM(ISNULL(S.QUAN, 1)) DESC
""")
rows = mssql_session.execute(usage_query, {
'start_date': start_date_fmt,
'end_date': end_date_fmt
}).fetchall()
items = []
total_qty = 0
total_amount = 0
for row in rows:
drug_code = row.drug_code or ''
product_name = row.product_name or ''
# 검색 필터
if search:
search_lower = search.lower()
if (search_lower not in product_name.lower() and
search_lower not in drug_code.lower()):
continue
qty = int(row.total_qty or 0)
amount = float(row.total_amount or 0)
items.append({
'drug_code': drug_code,
'product_name': product_name,
'supplier': row.supplier or '',
'barcode': row.barcode or '',
'total_qty': qty,
'total_amount': int(amount),
'thumbnail': None
})
total_qty += qty
total_amount += amount
# 정렬
if sort == 'qty_asc':
items.sort(key=lambda x: x['total_qty'])
elif sort == 'qty_desc':
items.sort(key=lambda x: x['total_qty'], reverse=True)
elif sort == 'name_asc':
items.sort(key=lambda x: x['product_name'])
elif sort == 'amount_desc':
items.sort(key=lambda x: x['total_amount'], reverse=True)
# 제품 이미지 조회
try:
images_db_path = Path(__file__).parent / 'db' / 'product_images.db'
if images_db_path.exists():
img_conn = sqlite3.connect(str(images_db_path))
img_cursor = img_conn.cursor()
barcodes = [item['barcode'] for item in items if item['barcode']]
drug_codes = [item['drug_code'] for item in items]
image_map = {}
if barcodes:
placeholders = ','.join(['?' for _ in barcodes])
img_cursor.execute(f'''
SELECT barcode, thumbnail_base64
FROM product_images
WHERE barcode IN ({placeholders}) AND thumbnail_base64 IS NOT NULL
''', barcodes)
for r in img_cursor.fetchall():
image_map[f'bc:{r[0]}'] = r[1]
if drug_codes:
placeholders = ','.join(['?' for _ in drug_codes])
img_cursor.execute(f'''
SELECT drug_code, thumbnail_base64
FROM product_images
WHERE drug_code IN ({placeholders}) AND thumbnail_base64 IS NOT NULL
''', drug_codes)
for r in img_cursor.fetchall():
if f'dc:{r[0]}' not in image_map:
image_map[f'dc:{r[0]}'] = r[1]
img_conn.close()
for item in items:
thumb = image_map.get(f'bc:{item["barcode"]}') or image_map.get(f'dc:{item["drug_code"]}')
if thumb:
item['thumbnail'] = thumb
except Exception as img_err:
logging.warning(f"제품 이미지 조회 오류: {img_err}")
# 기간 일수 계산
try:
from datetime import datetime as dt
start_dt = dt.strptime(start_date_fmt, '%Y%m%d')
end_dt = dt.strptime(end_date_fmt, '%Y%m%d')
period_days = (end_dt - start_dt).days + 1
except:
period_days = 1
return jsonify({
'success': True,
'items': items[:500], # 최대 500건
'stats': {
'period_days': period_days,
'product_count': len(items),
'total_qty': total_qty,
'total_amount': int(total_amount)
}
})
except Exception as e:
logging.error(f"사용량 조회 오류: {e}")
return jsonify({
'success': False,
'error': str(e)
}), 500
@app.route('/api/rx-usage')
def api_rx_usage():
"""
전문의약품(처방전) 기간별 사용량 조회 API
GET /api/rx-usage?start_date=2026-01-01&end_date=2026-01-31&search=타이레놀&sort=qty_desc
"""
try:
start_date = request.args.get('start_date', '')
end_date = request.args.get('end_date', '')
search = request.args.get('search', '').strip()
sort = request.args.get('sort', 'qty_desc')
# 날짜 형식 변환 (YYYY-MM-DD -> YYYYMMDD)
start_date_fmt = start_date.replace('-', '') if start_date else datetime.now().strftime('%Y%m%d')
end_date_fmt = end_date.replace('-', '') if end_date else datetime.now().strftime('%Y%m%d')
mssql_session = db_manager.get_session('PM_PRES')
# 1년간 사용 환자 3명 이하 약품의 환자 목록 조회 + 조회 기간 내 사용 여부
# PS_Type: 0,1=일반, 4=대체조제(실제), 9=대체조제(원본) - 9는 제외해야 실제 조제된 약만 집계
patient_query = text("""
WITH PatientUsage AS (
SELECT DISTINCT
P.DrugCode,
M.Paname,
MAX(CASE WHEN M.Indate >= :start_date AND M.Indate <= :end_date THEN 1 ELSE 0 END) as used_in_period
FROM PS_sub_pharm P
JOIN PS_main M ON P.PreSerial = M.PreSerial
WHERE M.Indate >= CONVERT(VARCHAR, DATEADD(YEAR, -1, GETDATE()), 112)
AND (P.PS_Type IS NULL OR P.PS_Type != '9')
GROUP BY P.DrugCode, M.Paname
)
SELECT
PU.DrugCode as drug_code,
COUNT(*) as patient_count,
STUFF((
SELECT ', ' + PU2.Paname
FROM PatientUsage PU2
WHERE PU2.DrugCode = PU.DrugCode
ORDER BY PU2.Paname
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)'), 1, 2, '') as patient_names,
STUFF((
SELECT ', ' + PU3.Paname
FROM PatientUsage PU3
WHERE PU3.DrugCode = PU.DrugCode AND PU3.used_in_period = 1
ORDER BY PU3.Paname
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)'), 1, 2, '') as today_patients
FROM PatientUsage PU
GROUP BY PU.DrugCode
HAVING COUNT(*) <= 3
""")
patient_rows = mssql_session.execute(patient_query, {
'start_date': start_date_fmt,
'end_date': end_date_fmt
}).fetchall()
patient_map = {row.drug_code: {
'count': row.patient_count,
'names': row.patient_names,
'today': row.today_patients # 오늘 사용한 환자
} for row in patient_rows}
# 조회 기간 내 주문량 조회 (orders.db에서)
import sqlite3
orders_db_path = os.path.join(os.path.dirname(__file__), 'db', 'orders.db')
orders_conn = sqlite3.connect(orders_db_path)
orders_cur = orders_conn.cursor()
# 조회 기간 내 성공한 주문량 집계
orders_cur.execute('''
SELECT
oi.drug_code,
SUM(oi.order_qty) as ordered_qty,
SUM(oi.total_dose) as ordered_dose
FROM order_items oi
JOIN orders o ON oi.order_id = o.id
WHERE o.order_date >= ? AND o.order_date <= ?
AND o.status IN ('submitted', 'success', 'confirmed')
AND oi.status IN ('success', 'pending')
GROUP BY oi.drug_code
''', (start_date, end_date))
ordered_map = {row[0]: {'qty': row[1] or 0, 'dose': row[2] or 0} for row in orders_cur.fetchall()}
orders_conn.close()
# 전문의약품 품목별 사용량 집계 쿼리 (현재고: IM_total.IM_QT_sale_debit, 위치: CD_item_position.CD_NM_sale)
# PS_Type != '9' 조건: 대체조제 원본 처방 제외 → 실제 조제된 약만 집계
rx_query = text("""
SELECT
P.DrugCode as drug_code,
MAX(ISNULL(G.GoodsName, '알 수 없음')) as product_name,
MAX(ISNULL(G.SplName, '')) as supplier,
SUM(ISNULL(P.QUAN, 1)) as total_qty,
SUM(ISNULL(P.INV_QUAN, 0)) as total_dose, -- 총 투약량 (1회복용량 x 복용횟수 x 일수)
SUM(ISNULL(P.DRUPRICE, 0)) as total_amount, -- DRUPRICE 합계
COUNT(DISTINCT P.PreSerial) as prescription_count,
MAX(COALESCE(NULLIF(G.BARCODE, ''), '')) as barcode,
MAX(ISNULL(IT.IM_QT_sale_debit, 0)) as current_stock,
MAX(ISNULL(POS.CD_NM_sale, '')) as location
FROM PS_sub_pharm P
LEFT JOIN PM_DRUG.dbo.CD_GOODS G ON P.DrugCode = G.DrugCode
LEFT JOIN PM_DRUG.dbo.IM_total IT ON P.DrugCode = IT.DrugCode
LEFT JOIN PM_DRUG.dbo.CD_item_position POS ON P.DrugCode = POS.DrugCode
WHERE P.Indate >= :start_date
AND P.Indate <= :end_date
AND (P.PS_Type IS NULL OR P.PS_Type != '9')
GROUP BY P.DrugCode
ORDER BY SUM(ISNULL(P.INV_QUAN, 0)) DESC -- 투약량 기준 정렬
""")
rows = mssql_session.execute(rx_query, {
'start_date': start_date_fmt,
'end_date': end_date_fmt
}).fetchall()
items = []
total_qty = 0
total_dose = 0
total_amount = 0
total_prescriptions = set()
for row in rows:
drug_code = row.drug_code or ''
product_name = row.product_name or ''
# 검색 필터
if search:
search_lower = search.lower()
if (search_lower not in product_name.lower() and
search_lower not in drug_code.lower()):
continue
qty = int(row.total_qty or 0)
dose = int(row.total_dose or 0)
amount = float(row.total_amount or 0)
rx_count = int(row.prescription_count or 0)
# 소수 환자 약품인지 확인 (1년간 3명 이하)
patient_info = patient_map.get(drug_code)
# 조회 기간 내 주문량
order_info = ordered_map.get(drug_code, {'qty': 0, 'dose': 0})
ordered_dose = order_info['dose']
# 잔여 필요량 = 사용량 - 주문량 (음수면 0)
remaining_dose = max(0, dose - ordered_dose)
items.append({
'drug_code': drug_code,
'product_name': product_name,
'supplier': row.supplier or '',
'barcode': row.barcode or '',
'total_qty': qty,
'total_dose': dose, # 총 투약량 (수량 x 일수)
'total_amount': int(amount),
'prescription_count': rx_count,
'current_stock': int(row.current_stock or 0), # 현재고
'location': row.location or '', # 약국 내 위치
'thumbnail': None,
'patient_count': patient_info['count'] if patient_info else None,
'patient_names': patient_info['names'] if patient_info else None,
'today_patients': patient_info['today'] if patient_info else None,
'ordered_dose': ordered_dose, # 조회 기간 내 주문량
'remaining_dose': remaining_dose # 잔여 필요량
})
total_qty += qty
total_dose += dose
total_amount += amount
# 정렬
if sort == 'qty_asc':
items.sort(key=lambda x: x['total_dose'])
elif sort == 'qty_desc':
items.sort(key=lambda x: x['total_dose'], reverse=True)
elif sort == 'name_asc':
items.sort(key=lambda x: x['product_name'])
elif sort == 'amount_desc':
items.sort(key=lambda x: x['total_amount'], reverse=True)
elif sort == 'rx_desc':
items.sort(key=lambda x: x['prescription_count'], reverse=True)
# 제품 이미지 조회
try:
images_db_path = Path(__file__).parent / 'db' / 'product_images.db'
if images_db_path.exists():
img_conn = sqlite3.connect(str(images_db_path))
img_cursor = img_conn.cursor()
drug_codes = [item['drug_code'] for item in items]
image_map = {}
if drug_codes:
placeholders = ','.join(['?' for _ in drug_codes])
img_cursor.execute(f'''
SELECT drug_code, thumbnail_base64
FROM product_images
WHERE drug_code IN ({placeholders}) AND thumbnail_base64 IS NOT NULL
''', drug_codes)
for r in img_cursor.fetchall():
image_map[r[0]] = r[1]
img_conn.close()
for item in items:
if item['drug_code'] in image_map:
item['thumbnail'] = image_map[item['drug_code']]
except Exception as img_err:
logging.warning(f"제품 이미지 조회 오류: {img_err}")
# 기간 일수 계산
try:
from datetime import datetime as dt
start_dt = dt.strptime(start_date_fmt, '%Y%m%d')
end_dt = dt.strptime(end_date_fmt, '%Y%m%d')
period_days = (end_dt - start_dt).days + 1
except:
period_days = 1
return jsonify({
'success': True,
'items': items[:500],
'stats': {
'period_days': period_days,
'product_count': len(items),
'total_qty': total_qty,
'total_dose': total_dose,
'total_amount': int(total_amount)
}
})
except Exception as e:
logging.error(f"전문의약품 사용량 조회 오류: {e}")
return jsonify({
'success': False,
'error': str(e)
}), 500
# ===== Claude 상태 API =====
@app.route('/api/claude-status')
def api_claude_status():
"""
Claude 사용량 상태 조회 (토큰 차감 없음)
GET /api/claude-status
GET /api/claude-status?detail=true — 전체 세션 상세 포함
Returns:
{
"ok": true,
"connected": true,
"model": "claude-opus-4-5",
"mainSession": { ... },
"summary": { ... },
"sessions": [ ... ], // detail=true 일 때만
"timestamp": "2026-02-27T09:45:00+09:00"
}
"""
try:
from services.clawdbot_client import get_claude_status
# 상세 모드 여부
detail_mode = request.args.get('detail', 'false').lower() == 'true'
status = get_claude_status()
if not status or not status.get('connected'):
return jsonify({
'ok': False,
'connected': False,
'error': status.get('error', 'Gateway 연결 실패'),
'timestamp': datetime.now(KST).isoformat()
}), 503
sessions_data = status.get('sessions', {})
sessions_list = sessions_data.get('sessions', [])
defaults = sessions_data.get('defaults', {})
# 메인 세션 찾기
main_session = None
for s in sessions_list:
if s.get('key') == 'agent:main:main':
main_session = s
break
# 전체 토큰 합계
total_tokens = sum(s.get('totalTokens', 0) for s in sessions_list)
# 메인 세션 컨텍스트 사용률
context_used = 0
context_max = defaults.get('contextTokens', 200000)
context_percent = 0
if main_session:
context_used = main_session.get('totalTokens', 0)
context_max = main_session.get('contextTokens', context_max)
if context_max > 0:
context_percent = round(context_used / context_max * 100, 1)
# 기본 응답
response = {
'ok': True,
'connected': True,
'model': f"{defaults.get('modelProvider', 'unknown')}/{defaults.get('model', 'unknown')}",
'context': {
'used': context_used,
'max': context_max,
'percent': context_percent,
'display': f"{context_used//1000}k/{context_max//1000}k ({context_percent}%)"
},
'mainSession': {
'key': main_session.get('key') if main_session else None,
'inputTokens': main_session.get('inputTokens', 0) if main_session else 0,
'outputTokens': main_session.get('outputTokens', 0) if main_session else 0,
'totalTokens': main_session.get('totalTokens', 0) if main_session else 0,
'lastChannel': main_session.get('lastChannel') if main_session else None
} if main_session else None,
'summary': {
'totalSessions': len(sessions_list),
'totalTokens': total_tokens,
'activeModel': defaults.get('model')
},
'timestamp': datetime.now(KST).isoformat()
}
# 상세 모드: 전체 세션 목록 추가
if detail_mode:
detailed_sessions = []
for s in sessions_list:
session_tokens = s.get('totalTokens', 0)
session_context_max = s.get('contextTokens', 200000)
session_percent = round(session_tokens / session_context_max * 100, 1) if session_context_max > 0 else 0
# 세션 키에서 이름 추출 (agent:main:xxx → xxx)
session_key = s.get('key', '')
session_name = session_key.split(':')[-1] if ':' in session_key else session_key
# 마지막 활동 시간
updated_at = s.get('updatedAt')
updated_str = None
if updated_at:
try:
dt = datetime.fromtimestamp(updated_at / 1000, tz=KST)
updated_str = dt.strftime('%Y-%m-%d %H:%M')
except:
pass
detailed_sessions.append({
'key': session_key,
'name': session_name,
'displayName': s.get('displayName', session_name),
'model': f"{s.get('modelProvider', 'unknown')}/{s.get('model', 'unknown')}",
'tokens': {
'input': s.get('inputTokens', 0),
'output': s.get('outputTokens', 0),
'total': session_tokens,
'contextMax': session_context_max,
'contextPercent': session_percent,
'display': f"{session_tokens//1000}k/{session_context_max//1000}k ({session_percent}%)"
},
'channel': s.get('lastChannel') or s.get('origin', {}).get('provider'),
'kind': s.get('kind'),
'updatedAt': updated_str
})
# 토큰 사용량 순으로 정렬
detailed_sessions.sort(key=lambda x: x['tokens']['total'], reverse=True)
response['sessions'] = detailed_sessions
# 모델별 통계
model_stats = {}
for s in sessions_list:
model_key = f"{s.get('modelProvider', 'unknown')}/{s.get('model', 'unknown')}"
if model_key not in model_stats:
model_stats[model_key] = {'sessions': 0, 'tokens': 0}
model_stats[model_key]['sessions'] += 1
model_stats[model_key]['tokens'] += s.get('totalTokens', 0)
response['modelStats'] = model_stats
return jsonify(response)
except Exception as e:
logging.error(f"Claude 상태 조회 오류: {e}")
return jsonify({
'ok': False,
'connected': False,
'error': str(e),
'timestamp': datetime.now(KST).isoformat()
}), 500
# =============================================================================
# 회원 검색 API (팜IT3000 CD_PERSON)
# =============================================================================
@app.route('/api/members/search')
def api_members_search():
"""
회원 검색 API
- 이름 또는 전화번호로 검색
- PM_BASE.dbo.CD_PERSON 테이블 조회
"""
search = request.args.get('q', '').strip()
search_type = request.args.get('type', 'auto') # auto, name, phone
limit = min(int(request.args.get('limit', 50)), 200)
if not search or len(search) < 2:
return jsonify({'success': False, 'error': '검색어는 2글자 이상 입력하세요'})
try:
# PM_BASE 연결
base_session = db_manager.get_session('PM_BASE')
# 검색 타입 자동 감지
if search_type == 'auto':
# 숫자만 있으면 전화번호, 아니면 이름
if search.replace('-', '').replace(' ', '').isdigit():
search_type = 'phone'
else:
search_type = 'name'
# 전화번호 정규화
phone_search = search.replace('-', '').replace(' ', '')
if search_type == 'phone':
# 전화번호 검색 (3개 컬럼 모두)
query = text(f"""
SELECT TOP {limit}
CUSCODE, PANAME, PANUM,
TEL_NO, PHONE, PHONE2,
CUSETC, EMAIL, SMS_STOP
FROM CD_PERSON
WHERE
REPLACE(REPLACE(TEL_NO, '-', ''), ' ', '') LIKE :phone
OR REPLACE(REPLACE(PHONE, '-', ''), ' ', '') LIKE :phone
OR REPLACE(REPLACE(PHONE2, '-', ''), ' ', '') LIKE :phone
ORDER BY PANAME
""")
rows = base_session.execute(query, {'phone': f'%{phone_search}%'}).fetchall()
else:
# 이름 검색
query = text(f"""
SELECT TOP {limit}
CUSCODE, PANAME, PANUM,
TEL_NO, PHONE, PHONE2,
CUSETC, EMAIL, SMS_STOP
FROM CD_PERSON
WHERE PANAME LIKE :name
ORDER BY PANAME
""")
rows = base_session.execute(query, {'name': f'%{search}%'}).fetchall()
members = []
for row in rows:
# 유효한 전화번호 찾기 (PHONE 우선, 없으면 TEL_NO, PHONE2)
phone = row.PHONE or row.TEL_NO or row.PHONE2 or ''
phone = phone.strip() if phone else ''
members.append({
'cuscode': row.CUSCODE,
'name': row.PANAME or '',
'panum': row.PANUM or '',
'phone': phone,
'tel_no': row.TEL_NO or '',
'phone1': row.PHONE or '',
'phone2': row.PHONE2 or '',
'memo': (row.CUSETC or '')[:100], # 메모 100자 제한
'email': row.EMAIL or '',
'sms_stop': row.SMS_STOP == 'Y' # SMS 수신거부 여부
})
return jsonify({
'success': True,
'items': members,
'count': len(members),
'search_type': search_type
})
except Exception as e:
logging.error(f"회원 검색 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/members/')
def api_member_detail(cuscode):
"""회원 상세 정보 + 메모 조회"""
try:
base_session = db_manager.get_session('PM_BASE')
# 회원 정보
query = text("""
SELECT
CUSCODE, PANAME, PANUM,
TEL_NO, PHONE, PHONE2,
CUSETC, EMAIL, ADDRESS, SMS_STOP
FROM CD_PERSON
WHERE CUSCODE = :cuscode
""")
row = base_session.execute(query, {'cuscode': cuscode}).fetchone()
if not row:
return jsonify({'success': False, 'error': '회원을 찾을 수 없습니다'}), 404
member = {
'cuscode': row.CUSCODE,
'name': row.PANAME or '',
'panum': row.PANUM or '',
'phone': row.PHONE or row.TEL_NO or row.PHONE2 or '',
'tel_no': row.TEL_NO or '',
'phone1': row.PHONE or '',
'phone2': row.PHONE2 or '',
'memo': row.CUSETC or '',
'email': row.EMAIL or '',
'address': row.ADDRESS or '',
'sms_stop': row.SMS_STOP == 'Y'
}
# 상세 메모 조회
memo_query = text("""
SELECT MEMO_CODE, PHARMA_ID, MEMO_DATE, MEMO_TITLE, MEMO_Item
FROM CD_PERSON_MEMO
WHERE CUSCODE = :cuscode
ORDER BY MEMO_DATE DESC
""")
memo_rows = base_session.execute(memo_query, {'cuscode': cuscode}).fetchall()
memos = []
for m in memo_rows:
memos.append({
'memo_code': m.MEMO_CODE,
'author': m.PHARMA_ID or '',
'date': m.MEMO_DATE or '',
'title': m.MEMO_TITLE or '',
'content': m.MEMO_Item or ''
})
return jsonify({
'success': True,
'member': member,
'memos': memos
})
except Exception as e:
logging.error(f"회원 상세 조회 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/members//phone', methods=['PUT'])
def api_update_phone(cuscode):
"""환자 전화번호 수정 API"""
try:
data = request.get_json() or {}
new_phone = data.get('phone', '').strip()
# 길이 제한 (20자)
if len(new_phone) > 20:
return jsonify({'success': False, 'error': '전화번호는 20자를 초과할 수 없습니다.'}), 400
base_session = db_manager.get_session('PM_BASE')
# PHONE 업데이트
update_query = text("""
UPDATE CD_PERSON
SET PHONE = :phone
WHERE CUSCODE = :cuscode
""")
result = base_session.execute(update_query, {'phone': new_phone, 'cuscode': cuscode})
base_session.commit()
if result.rowcount == 0:
return jsonify({'success': False, 'error': '해당 고객을 찾을 수 없습니다.'}), 404
return jsonify({
'success': True,
'message': '전화번호가 저장되었습니다.',
'phone': new_phone
})
except Exception as e:
logging.error(f"전화번호 수정 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/members//cusetc', methods=['PUT'])
def api_update_cusetc(cuscode):
"""특이(참고)사항 수정 API"""
try:
data = request.get_json() or {}
new_cusetc = data.get('cusetc', '').strip()
# 길이 제한 (2000자)
if len(new_cusetc) > 2000:
return jsonify({'success': False, 'error': '특이사항은 2000자를 초과할 수 없습니다.'}), 400
base_session = db_manager.get_session('PM_BASE')
# CUSETC 업데이트
update_query = text("""
UPDATE CD_PERSON
SET CUSETC = :cusetc
WHERE CUSCODE = :cuscode
""")
result = base_session.execute(update_query, {'cusetc': new_cusetc, 'cuscode': cuscode})
base_session.commit()
if result.rowcount == 0:
return jsonify({'success': False, 'error': '해당 고객을 찾을 수 없습니다.'}), 404
return jsonify({
'success': True,
'message': '특이사항이 저장되었습니다.',
'cusetc': new_cusetc
})
except Exception as e:
logging.error(f"특이사항 수정 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/print/cusetc', methods=['POST'])
def api_print_cusetc():
"""특이(참고)사항 영수증 인쇄 API"""
try:
from pos_printer import print_cusetc
data = request.get_json() or {}
customer_name = data.get('customer_name', '').strip()
cusetc = data.get('cusetc', '').strip()
phone = data.get('phone', '').strip()
if not customer_name:
return jsonify({'success': False, 'error': '고객 이름이 필요합니다.'}), 400
if not cusetc:
return jsonify({'success': False, 'error': '특이사항이 비어있습니다.'}), 400
# ESC/POS 프린터로 출력
result = print_cusetc(customer_name, cusetc, phone)
if result:
return jsonify({
'success': True,
'message': f'{customer_name}님의 특이사항이 인쇄되었습니다.'
})
else:
return jsonify({
'success': False,
'error': '프린터 연결 실패. 프린터가 켜져있는지 확인하세요.'
}), 500
except ImportError:
return jsonify({'success': False, 'error': 'pos_printer 모듈을 찾을 수 없습니다.'}), 500
except Exception as e:
logging.error(f"특이사항 인쇄 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/members/history/')
def api_member_history(phone):
"""
회원 구매 이력 통합 조회 API
- 마일리지 적립/사용 내역 (SQLite)
- transaction_id로 POS 품목 조회 (MSSQL)
- 전체 구매 이력 (SALE_MAIN)
- 조제 이력 (PS_main)
"""
try:
# 전화번호 정규화
phone = phone.replace('-', '').replace(' ', '')
result = {
'success': True,
'phone': phone,
'mileage': None,
'purchases': [], # 전체 구매 이력
'prescriptions': [], # 조제 이력
'interests': [], # 관심 상품 (AI 업셀링)
'pos_customer': None
}
transaction_ids = [] # 적립된 거래번호 수집
# 1. 마일리지 내역 조회 (SQLite) - 새 연결 사용 (멀티스레드 안전)
sqlite_conn = None
try:
sqlite_conn = db_manager.get_sqlite_connection(new_connection=True)
cursor = sqlite_conn.cursor()
# 사용자 정보 조회
cursor.execute("""
SELECT id, nickname, phone, mileage_balance, created_at
FROM users WHERE phone = ?
""", (phone,))
user = cursor.fetchone()
if user:
user_id = user['id']
# 적립/사용 내역 조회 (claim_tokens 조인으로 금액 포함)
cursor.execute("""
SELECT
ml.points, ml.balance_after, ml.reason,
ml.description, ml.transaction_id, ml.created_at,
ct.total_amount
FROM mileage_ledger ml
LEFT JOIN claim_tokens ct ON ml.transaction_id = ct.transaction_id
WHERE ml.user_id = ?
ORDER BY ml.created_at DESC
LIMIT 50
""", (user_id,))
transactions = cursor.fetchall()
tx_list = []
for t in transactions:
tx_data = {
'points': t['points'],
'balance_after': t['balance_after'],
'reason': t['reason'],
'description': t['description'],
'transaction_id': t['transaction_id'],
'created_at': t['created_at'],
'total_amount': t['total_amount'],
'items': [] # 나중에 POS에서 채움
}
tx_list.append(tx_data)
# 적립 거래번호 수집
if t['transaction_id'] and t['reason'] == 'CLAIM':
transaction_ids.append(t['transaction_id'])
result['mileage'] = {
'user_id': user_id,
'name': user['nickname'] or '',
'phone': user['phone'],
'balance': user['mileage_balance'] or 0,
'member_since': user['created_at'],
'transactions': tx_list
}
# 관심 상품 조회 (AI 업셀링에서 '관심있어요' 표시한 것)
cursor.execute("""
SELECT
id, recommended_product, recommendation_message,
recommendation_reason, trigger_products, created_at
FROM ai_recommendations
WHERE user_id = ? AND status = 'interested'
ORDER BY created_at DESC
LIMIT 20
""", (user_id,))
interests = cursor.fetchall()
result['interests'] = [{
'id': i['id'],
'product': i['recommended_product'],
'message': i['recommendation_message'],
'reason': i['recommendation_reason'],
'trigger_products': i['trigger_products'],
'created_at': i['created_at']
} for i in interests]
except Exception as e:
import traceback
logging.error(f"마일리지 조회 실패: {e}\n{traceback.format_exc()}")
finally:
# SQLite 연결 닫기
if sqlite_conn:
try:
sqlite_conn.close()
except:
pass
# 2. 전화번호로 POS 고객코드 조회 (MSSQL)
cuscode = None
try:
base_session = db_manager.get_session('PM_BASE')
cuscode_query = text("""
SELECT TOP 1 CUSCODE, PANAME
FROM CD_PERSON
WHERE REPLACE(REPLACE(PHONE, '-', ''), ' ', '') = :phone
OR REPLACE(REPLACE(TEL_NO, '-', ''), ' ', '') = :phone
OR REPLACE(REPLACE(PHONE2, '-', ''), ' ', '') = :phone
""")
cus_row = base_session.execute(cuscode_query, {'phone': phone}).fetchone()
if cus_row:
cuscode = cus_row.CUSCODE
result['pos_customer'] = {
'cuscode': cuscode,
'name': cus_row.PANAME
}
except Exception as e:
logging.warning(f"POS 고객 조회 실패: {e}")
# 3. transaction_id로 POS 품목 조회 (마일리지 적립 내역)
if transaction_ids and result['mileage']:
try:
pres_session = db_manager.get_session('PM_PRES')
# 각 거래번호별 품목 조회
items_by_tx = {}
for tx_id in transaction_ids[:30]: # 최대 30건
items_query = text("""
SELECT
S.DrugCode,
G.GoodsName,
S.QUAN as quantity,
S.SL_TOTAL_PRICE as price
FROM SALE_SUB S
LEFT JOIN PM_DRUG.dbo.CD_GOODS G ON S.DrugCode = G.DrugCode
WHERE S.SL_NO_order = :order_no
""")
items = pres_session.execute(items_query, {'order_no': tx_id}).fetchall()
items_by_tx[tx_id] = [{
'drug_code': item.DrugCode,
'name': item.GoodsName or '알 수 없음',
'quantity': float(item.quantity) if item.quantity else 1,
'price': float(item.price) if item.price else 0
} for item in items]
# 마일리지 내역에 품목 추가
for tx in result['mileage']['transactions']:
tx_id = tx.get('transaction_id')
if tx_id and tx_id in items_by_tx:
tx['items'] = items_by_tx[tx_id]
except Exception as e:
logging.warning(f"POS 품목 조회 실패: {e}")
# 4. 전체 구매 이력 조회 (고객코드 기준)
if cuscode:
try:
pres_session = db_manager.get_session('PM_PRES')
# 최근 60일 구매 이력
purchase_query = text("""
SELECT TOP 30
M.SL_NO_order as order_no,
M.SL_DT_appl as order_date,
M.SL_MY_total as total_amount
FROM SALE_MAIN M
WHERE M.SL_CD_custom = :cuscode
ORDER BY M.SL_DT_appl DESC, M.SL_NO_order DESC
""")
orders = pres_session.execute(purchase_query, {'cuscode': cuscode}).fetchall()
purchases = []
for order in orders:
# 품목 조회
items_query = text("""
SELECT
S.DrugCode,
G.GoodsName,
S.QUAN as quantity,
S.SL_TOTAL_PRICE as price
FROM SALE_SUB S
LEFT JOIN PM_DRUG.dbo.CD_GOODS G ON S.DrugCode = G.DrugCode
WHERE S.SL_NO_order = :order_no
""")
items = pres_session.execute(items_query, {'order_no': order.order_no}).fetchall()
purchases.append({
'order_no': order.order_no,
'date': order.order_date,
'total': float(order.total_amount) if order.total_amount else 0,
'items': [{
'drug_code': item.DrugCode,
'name': item.GoodsName or '알 수 없음',
'quantity': float(item.quantity) if item.quantity else 1,
'price': float(item.price) if item.price else 0
} for item in items]
})
result['purchases'] = purchases
except Exception as e:
logging.warning(f"전체 구매 이력 조회 실패: {e}")
# 5. 조제 이력 조회 (고객코드 기준)
if cuscode:
try:
pres_session = db_manager.get_session('PM_PRES')
# 최근 조제 이력 (최대 30건)
rx_query = text("""
SELECT TOP 30
P.PreSerial,
P.Indate,
P.Paname,
P.Drname,
P.OrderName,
P.TDAYS
FROM PS_main P
WHERE P.CusCode = :cuscode
ORDER BY P.Indate DESC, P.PreSerial DESC
""")
rxs = pres_session.execute(rx_query, {'cuscode': cuscode}).fetchall()
prescriptions = []
for rx in rxs:
# 처방 품목 조회
items_query = text("""
SELECT
S.DrugCode,
G.GoodsName,
S.Days,
S.QUAN,
S.QUAN_TIME
FROM PS_sub_pharm S
LEFT JOIN PM_DRUG.dbo.CD_GOODS G ON S.DrugCode = G.DrugCode
WHERE S.PreSerial = :pre_serial
""")
items = pres_session.execute(items_query, {'pre_serial': rx.PreSerial}).fetchall()
prescriptions.append({
'pre_serial': rx.PreSerial,
'date': rx.Indate,
'patient_name': rx.Paname,
'doctor': rx.Drname,
'hospital': rx.OrderName,
'total_days': rx.TDAYS,
'items': [{
'drug_code': item.DrugCode,
'name': item.GoodsName or '알 수 없음',
'days': float(item.Days) if item.Days else 0,
'quantity': float(item.QUAN) if item.QUAN else 0,
'times_per_day': float(item.QUAN_TIME) if item.QUAN_TIME else 0
} for item in items]
})
result['prescriptions'] = prescriptions
except Exception as e:
logging.warning(f"조제 이력 조회 실패: {e}")
return jsonify(result)
except Exception as e:
logging.error(f"회원 이력 조회 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
# =============================================================================
# 알림톡/SMS 발송 API
# =============================================================================
@app.route('/api/message/send', methods=['POST'])
def api_message_send():
"""
알림톡/SMS 발송 API
Body:
{
"recipients": [{"cuscode": "", "name": "", "phone": ""}],
"message": "메시지 내용",
"type": "alimtalk" | "sms"
}
"""
try:
data = request.get_json()
if not data:
return jsonify({'success': False, 'error': '데이터가 없습니다'}), 400
recipients = data.get('recipients', [])
message = data.get('message', '')
msg_type = data.get('type', 'sms') # alimtalk 또는 sms
if not recipients:
return jsonify({'success': False, 'error': '수신자가 없습니다'}), 400
if not message:
return jsonify({'success': False, 'error': '메시지 내용이 없습니다'}), 400
# 전화번호 정규화
valid_recipients = []
for r in recipients:
phone = (r.get('phone') or '').replace('-', '').replace(' ', '')
if phone and len(phone) >= 10:
valid_recipients.append({
'cuscode': r.get('cuscode', ''),
'name': r.get('name', ''),
'phone': phone
})
if not valid_recipients:
return jsonify({'success': False, 'error': '유효한 전화번호가 없습니다'}), 400
# TODO: 실제 발송 로직 (NHN Cloud 알림톡/SMS)
# 현재는 테스트 모드로 성공 응답
results = []
for r in valid_recipients:
results.append({
'phone': r['phone'],
'name': r['name'],
'status': 'success', # 실제 발송 시 결과로 변경
'message': f'{msg_type} 발송 예약됨'
})
return jsonify({
'success': True,
'type': msg_type,
'sent_count': len(results),
'results': results,
'message': f'{len(results)}명에게 {msg_type} 발송 완료 (테스트 모드)'
})
except Exception as e:
logging.error(f"메시지 발송 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
# =============================================================================
# QR 라벨 인쇄 API
# =============================================================================
@app.route('/api/qr-print', methods=['POST'])
def api_qr_print():
"""QR 라벨 인쇄 API"""
try:
from qr_printer import print_drug_qr_label
data = request.get_json()
if not data:
return jsonify({'success': False, 'error': '데이터가 없습니다'}), 400
drug_name = data.get('drug_name', '')
barcode = data.get('barcode', '')
drug_code = data.get('drug_code', '')
sale_price = data.get('sale_price', 0)
if not drug_name:
return jsonify({'success': False, 'error': '상품명이 필요합니다'}), 400
# 바코드가 없으면 drug_code 사용
qr_data = barcode if barcode else drug_code
result = print_drug_qr_label(
drug_name=drug_name,
barcode=qr_data,
sale_price=sale_price,
drug_code=drug_code,
pharmacy_name='청춘약국'
)
return jsonify(result)
except ImportError as e:
logging.error(f"QR 프린터 모듈 로드 실패: {e}")
return jsonify({'success': False, 'error': 'QR 프린터 모듈이 없습니다'}), 500
except Exception as e:
logging.error(f"QR 인쇄 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/qr-preview', methods=['POST'])
def api_qr_preview():
"""QR 라벨 미리보기 API (base64 이미지 반환)"""
try:
from qr_printer import preview_qr_label
data = request.get_json()
if not data:
return jsonify({'success': False, 'error': '데이터가 없습니다'}), 400
drug_name = data.get('drug_name', '')
barcode = data.get('barcode', '')
drug_code = data.get('drug_code', '')
sale_price = data.get('sale_price', 0)
if not drug_name:
return jsonify({'success': False, 'error': '상품명이 필요합니다'}), 400
qr_data = barcode if barcode else drug_code
image_data = preview_qr_label(
drug_name=drug_name,
barcode=qr_data,
sale_price=sale_price,
drug_code=drug_code,
pharmacy_name='청춘약국'
)
return jsonify({'success': True, 'image': image_data})
except Exception as e:
logging.error(f"QR 미리보기 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
def check_port_available(port: int) -> bool:
"""포트가 사용 가능한지 확인"""
import socket
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.settimeout(1)
result = sock.connect_ex(('127.0.0.1', port))
sock.close()
return result != 0 # 0이면 이미 사용 중, 0이 아니면 사용 가능
def kill_process_on_port(port: int) -> bool:
"""특정 포트를 사용하는 프로세스 종료 (Windows)"""
import subprocess
try:
# netstat으로 PID 찾기
result = subprocess.run(
f'netstat -ano | findstr ":{port}"',
shell=True, capture_output=True, text=True
)
for line in result.stdout.strip().split('\n'):
if 'LISTENING' in line:
parts = line.split()
pid = parts[-1]
if pid.isdigit():
subprocess.run(f'taskkill /F /PID {pid}', shell=True)
logging.info(f"포트 {port} 사용 중인 프로세스 종료: PID {pid}")
return True
return False
except Exception as e:
logging.error(f"프로세스 종료 실패: {e}")
return False
# ═══════════════════════════════════════════════════════════
# KIMS 약물 상호작용 API
# ═══════════════════════════════════════════════════════════
@app.route('/admin/kims-logs')
def admin_kims_logs():
"""KIMS 상호작용 로그 뷰어 페이지"""
return render_template('admin_kims_logs.html')
@app.route('/api/kims/logs')
def api_kims_logs():
"""KIMS 로그 목록 조회"""
from db.kims_logger import get_recent_logs
limit = int(request.args.get('limit', 100))
status = request.args.get('status', '')
interaction = request.args.get('interaction', '')
date = request.args.get('date', '')
try:
logs = get_recent_logs(limit=limit)
# 필터링
if status:
logs = [l for l in logs if l['api_status'] == status]
if interaction == 'has':
logs = [l for l in logs if l['interaction_count'] > 0]
elif interaction == 'severe':
logs = [l for l in logs if l['has_severe_interaction'] == 1]
elif interaction == 'none':
logs = [l for l in logs if l['interaction_count'] == 0]
if date:
logs = [l for l in logs if l['created_at'] and l['created_at'].startswith(date)]
return jsonify({'success': True, 'logs': logs})
except Exception as e:
return jsonify({'success': False, 'error': str(e)})
@app.route('/api/kims/logs/stats')
def api_kims_logs_stats():
"""KIMS 로그 통계"""
from db.kims_logger import get_stats
try:
stats = get_stats()
return jsonify({'success': True, 'stats': stats})
except Exception as e:
return jsonify({'success': False, 'error': str(e)})
@app.route('/api/kims/logs/')
def api_kims_log_detail(log_id):
"""KIMS 로그 상세 조회"""
from db.kims_logger import get_log_detail
try:
log = get_log_detail(log_id)
if log:
return jsonify({'success': True, 'log': log})
else:
return jsonify({'success': False, 'error': '로그를 찾을 수 없습니다'}), 404
except Exception as e:
return jsonify({'success': False, 'error': str(e)})
# ─────────────────────────────────────────────────────────────
# 반품 후보 관리
# ─────────────────────────────────────────────────────────────
@app.route('/admin/return-management')
def admin_return_management():
"""반품 후보 관리 페이지"""
return render_template('admin_return_management.html')
@app.route('/api/return-candidates')
def api_return_candidates():
"""반품 후보 목록 조회 API (가격 정보 포함)"""
import pyodbc
status = request.args.get('status', '')
urgency = request.args.get('urgency', '')
search = request.args.get('search', '')
sort = request.args.get('sort', 'months_desc')
try:
db_path = os.path.join(BACKEND_DIR, 'db', 'orders.db')
conn = sqlite3.connect(db_path)
conn.row_factory = sqlite3.Row
cursor = conn.cursor()
# 기본 쿼리
query = "SELECT * FROM return_candidates WHERE 1=1"
params = []
# 상태 필터
if status:
query += " AND status = ?"
params.append(status)
# 검색어 필터
if search:
query += " AND (drug_name LIKE ? OR drug_code LIKE ?)"
params.extend([f'%{search}%', f'%{search}%'])
# 긴급도 필터
if urgency == 'critical':
query += " AND (months_since_use >= 36 OR months_since_purchase >= 36)"
elif urgency == 'warning':
query += " AND ((months_since_use >= 24 OR months_since_purchase >= 24) AND (COALESCE(months_since_use, 0) < 36 AND COALESCE(months_since_purchase, 0) < 36))"
elif urgency == 'normal':
query += " AND (COALESCE(months_since_use, 0) < 24 AND COALESCE(months_since_purchase, 0) < 24)"
# 정렬
sort_map = {
'months_desc': 'COALESCE(months_since_use, months_since_purchase, 0) DESC',
'months_asc': 'COALESCE(months_since_use, months_since_purchase, 0) ASC',
'stock_desc': 'current_stock DESC',
'name_asc': 'drug_name ASC',
'detected_desc': 'detected_at DESC'
}
query += f" ORDER BY {sort_map.get(sort, 'detected_at DESC')}"
cursor.execute(query, params)
rows = cursor.fetchall()
# 약품코드 목록 추출
drug_codes = [row['drug_code'] for row in rows]
# MSSQL에서 가격 + 위치 정보 조회 (한 번에)
price_map = {}
location_map = {}
if drug_codes:
try:
mssql_conn_str = (
'DRIVER={ODBC Driver 17 for SQL Server};'
'SERVER=192.168.0.4\\PM2014;'
'DATABASE=PM_DRUG;'
'UID=sa;'
'PWD=tmddls214!%(;'
'TrustServerCertificate=yes;'
'Connection Timeout=5'
)
mssql_conn = pyodbc.connect(mssql_conn_str, timeout=5)
mssql_cursor = mssql_conn.cursor()
# IN 절 생성 (SQL Injection 방지를 위해 파라미터화)
# Price가 없으면 Saleprice, Topprice 순으로 fallback
# CD_item_position JOIN으로 위치 정보도 함께 조회
placeholders = ','.join(['?' for _ in drug_codes])
mssql_cursor.execute(f"""
SELECT G.DrugCode,
COALESCE(NULLIF(G.Price, 0), NULLIF(G.Saleprice, 0), NULLIF(G.Topprice, 0), 0) as BestPrice,
ISNULL(POS.CD_NM_sale, '') as Location
FROM CD_GOODS G
LEFT JOIN CD_item_position POS ON G.DrugCode = POS.DrugCode
WHERE G.DrugCode IN ({placeholders})
""", drug_codes)
for row in mssql_cursor.fetchall():
price_map[row[0]] = float(row[1]) if row[1] else 0
location_map[row[0]] = row[2] or ''
mssql_conn.close()
except Exception as e:
logging.warning(f"MSSQL 가격/위치 조회 실패: {e}")
# 전체 데이터 조회 (통계용)
cursor.execute("SELECT drug_code, current_stock, months_since_use, months_since_purchase FROM return_candidates")
all_rows = cursor.fetchall()
# 긴급도별 금액 합계 계산
total_amount = 0
critical_amount = 0
warning_amount = 0
for row in all_rows:
code = row['drug_code']
stock = row['current_stock'] or 0
price = price_map.get(code, 0)
amount = stock * price
months_use = row['months_since_use'] or 0
months_purchase = row['months_since_purchase'] or 0
max_months = max(months_use, months_purchase)
total_amount += amount
if max_months >= 36:
critical_amount += amount
elif max_months >= 24:
warning_amount += amount
items = []
for row in rows:
code = row['drug_code']
stock = row['current_stock'] or 0
price = price_map.get(code, 0)
recoverable = stock * price
items.append({
'id': row['id'],
'drug_code': code,
'drug_name': row['drug_name'],
'current_stock': stock,
'unit_price': price,
'recoverable_amount': recoverable,
'location': location_map.get(code, ''),
'last_prescription_date': row['last_prescription_date'],
'months_since_use': row['months_since_use'],
'last_purchase_date': row['last_purchase_date'],
'months_since_purchase': row['months_since_purchase'],
'status': row['status'],
'decision_reason': row['decision_reason'],
'detected_at': row['detected_at'],
'updated_at': row['updated_at']
})
# 통계 계산
cursor.execute("SELECT COUNT(*) FROM return_candidates WHERE months_since_use >= 36 OR months_since_purchase >= 36")
critical = cursor.fetchone()[0]
cursor.execute("""SELECT COUNT(*) FROM return_candidates
WHERE (months_since_use >= 24 OR months_since_purchase >= 24)
AND (COALESCE(months_since_use, 0) < 36 AND COALESCE(months_since_purchase, 0) < 36)""")
warning = cursor.fetchone()[0]
cursor.execute("SELECT COUNT(*) FROM return_candidates WHERE status = 'pending'")
pending = cursor.fetchone()[0]
cursor.execute("SELECT COUNT(*) FROM return_candidates WHERE status IN ('returned', 'keep', 'disposed', 'resolved')")
processed = cursor.fetchone()[0]
cursor.execute("SELECT COUNT(*) FROM return_candidates")
total = cursor.fetchone()[0]
conn.close()
return jsonify({
'success': True,
'items': items,
'stats': {
'critical': critical,
'warning': warning,
'pending': pending,
'processed': processed,
'total': total,
'total_amount': total_amount,
'critical_amount': critical_amount,
'warning_amount': warning_amount
}
})
except Exception as e:
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/return-candidates/', methods=['PUT'])
def api_update_return_candidate(item_id):
"""반품 후보 상태 변경 API"""
try:
data = request.get_json()
new_status = data.get('status')
reason = data.get('reason', '')
if not new_status:
return jsonify({'success': False, 'error': '상태가 지정되지 않았습니다'}), 400
valid_statuses = ['pending', 'reviewed', 'returned', 'keep', 'disposed', 'resolved']
if new_status not in valid_statuses:
return jsonify({'success': False, 'error': f'유효하지 않은 상태: {new_status}'}), 400
db_path = os.path.join(BACKEND_DIR, 'db', 'orders.db')
conn = sqlite3.connect(db_path)
cursor = conn.cursor()
cursor.execute("""
UPDATE return_candidates
SET status = ?,
decision_reason = ?,
reviewed_at = datetime('now', 'localtime'),
updated_at = datetime('now', 'localtime')
WHERE id = ?
""", (new_status, reason, item_id))
if cursor.rowcount == 0:
conn.close()
return jsonify({'success': False, 'error': '항목을 찾을 수 없습니다'}), 404
conn.commit()
conn.close()
return jsonify({'success': True, 'message': '상태가 변경되었습니다'})
except Exception as e:
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/kims/interaction-check', methods=['POST'])
def api_kims_interaction_check():
"""
KIMS 약물 상호작용 체크 API
Request:
{
"drug_codes": ["055101150", "622801610"], // DrugCode 배열
"pre_serial": "P20250630001" // 처방번호 (로깅용, optional)
}
Response:
{
"success": true,
"interactions": [...],
"safe_count": 2,
"drugs_checked": [{"code": "...", "name": "...", "kd_code": "..."}]
}
"""
import requests as http_requests
from db.kims_logger import log_kims_call
import time as time_module
start_time = time_module.time()
try:
data = request.get_json()
drug_codes = data.get('drug_codes', [])
pre_serial = data.get('pre_serial', '')
user_id = data.get('user_id') # 회원 ID (있으면)
if len(drug_codes) < 2:
return jsonify({
'success': False,
'error': '상호작용 체크를 위해 최소 2개 이상의 약품이 필요합니다.'
}), 400
# 1. DrugCode = KIMS KD코드 (9자리) - 직접 사용
drug_session = db_manager.get_session('PM_DRUG')
placeholders = ','.join([f"'{c}'" for c in drug_codes])
code_query = text(f"""
SELECT DrugCode, GoodsName
FROM CD_GOODS
WHERE DrugCode IN ({placeholders})
""")
code_result = drug_session.execute(code_query).fetchall()
# DrugCode를 KIMS KD코드로 직접 사용
kd_codes = []
drugs_info = []
for row in code_result:
kd_code = row.DrugCode # DrugCode 자체가 KIMS 코드
if kd_code and len(str(kd_code)) == 9:
kd_codes.append(str(kd_code))
drugs_info.append({
'drug_code': row.DrugCode,
'name': row.GoodsName[:50] if row.GoodsName else '알 수 없음',
'kd_code': str(kd_code)
})
if len(kd_codes) < 2:
return jsonify({
'success': False,
'error': 'KIMS 코드로 변환 가능한 약품이 2개 미만입니다.',
'drugs_checked': drugs_info
}), 400
# 2. KIMS API 호출
kims_url = "https://api2.kims.co.kr/api/interaction/info"
kims_headers = {
'Authorization': 'Basic VFNQTUtSOg==',
'Content-Type': 'application/json',
'Accept': 'application/json; charset=utf-8'
}
kims_payload = {'KDCodes': kd_codes}
try:
kims_response = http_requests.get(
kims_url,
headers=kims_headers,
data=json.dumps(kims_payload),
timeout=10,
verify=False # SSL 검증 비활성화 (프로덕션에서는 주의)
)
if kims_response.status_code != 200:
log_kims_call(pre_serial=pre_serial, drug_codes=kd_codes, drug_names=[d['name'] for d in drugs_info],
api_status='ERROR', http_status=kims_response.status_code,
response_time_ms=int((time_module.time() - start_time) * 1000),
error_message=f'HTTP {kims_response.status_code}')
return jsonify({
'success': False,
'error': f'KIMS API 응답 오류: HTTP {kims_response.status_code}',
'drugs_checked': drugs_info
}), 502
kims_data = kims_response.json()
if kims_data.get('Message') != 'SUCCESS':
log_kims_call(pre_serial=pre_serial, drug_codes=kd_codes, drug_names=[d['name'] for d in drugs_info],
api_status='ERROR', http_status=200,
response_time_ms=int((time_module.time() - start_time) * 1000),
error_message=f'KIMS: {kims_data.get("Message")}', response_raw=kims_data)
return jsonify({
'success': False,
'error': f'KIMS API 처리 실패: {kims_data.get("Message", "알 수 없는 오류")}',
'drugs_checked': drugs_info
}), 502
except http_requests.Timeout:
log_kims_call(pre_serial=pre_serial, drug_codes=kd_codes, drug_names=[d['name'] for d in drugs_info],
api_status='TIMEOUT', response_time_ms=10000, error_message='10초 초과')
return jsonify({
'success': False,
'error': 'KIMS API 타임아웃 (10초 초과)',
'drugs_checked': drugs_info
}), 504
except Exception as kims_err:
log_kims_call(pre_serial=pre_serial, drug_codes=kd_codes, drug_names=[d['name'] for d in drugs_info],
api_status='ERROR', response_time_ms=int((time_module.time() - start_time) * 1000),
error_message=str(kims_err))
logging.error(f"KIMS API 호출 실패: {kims_err}")
return jsonify({
'success': False,
'error': f'KIMS API 연결 실패: {str(kims_err)}',
'drugs_checked': drugs_info
}), 502
# 3. 상호작용 결과 파싱
interactions = []
severity_color = {'1': '#dc2626', '2': '#f59e0b', '3': '#3b82f6', '4': '#6b7280', '5': '#9ca3af'}
# 상호작용 있는 약품 코드 수집
interaction_drug_codes = set()
for alert in kims_data.get('AlertList', []):
for item in alert.get('AlertInfo', []):
severity = str(item.get('SeverityLevel', '5'))
severity_desc = item.get('SeverityDesc', '') # API에서 직접 제공 (중증, 경미 등)
# 상호작용 약품 코드 수집
if item.get('DrugCode1'):
interaction_drug_codes.add(item.get('DrugCode1'))
if item.get('DrugCode2'):
interaction_drug_codes.add(item.get('DrugCode2'))
interactions.append({
'drug1_code': item.get('DrugCode1'),
'drug1_name': item.get('ProductName1'),
'drug2_code': item.get('DrugCode2'),
'drug2_name': item.get('ProductName2'),
'generic1': item.get('GenericName1'),
'generic2': item.get('GenericName2'),
'severity': severity,
'severity_text': severity_desc or ('심각' if severity == '1' else '중등도' if severity == '2' else '경미' if severity == '3' else '참고'),
'severity_color': severity_color.get(severity, '#9ca3af'),
'description': item.get('Observation', ''),
'management': item.get('ClinicalMng', ''),
'action': item.get('ActionToTake', ''),
'likelihood': item.get('LikelihoodDesc', '')
})
# 심각도 순 정렬 (1=심각이 먼저)
interactions.sort(key=lambda x: x['severity'])
# 총 약품 쌍 수 계산
total_pairs = len(kd_codes) * (len(kd_codes) - 1) // 2
safe_count = total_pairs - len(interactions)
# 약품 목록에 상호작용 여부 표시
for drug in drugs_info:
drug['has_interaction'] = drug['kd_code'] in interaction_drug_codes
# 응답 시간 계산
response_time_ms = int((time_module.time() - start_time) * 1000)
# SQLite 로깅
try:
log_id = log_kims_call(
pre_serial=pre_serial,
user_id=user_id,
source='admin',
drug_codes=kd_codes,
drug_names=[d['name'] for d in drugs_info],
api_status='SUCCESS',
http_status=200,
response_time_ms=response_time_ms,
interactions=interactions,
response_raw=kims_data
)
logging.info(f"KIMS 로그 저장: ID={log_id}, {len(kd_codes)}개 약품, {len(interactions)}건 상호작용")
except Exception as log_err:
logging.warning(f"KIMS 로깅 실패 (무시): {log_err}")
logging.info(f"KIMS 상호작용 체크 완료: {len(kd_codes)}개 약품, {len(interactions)}건 발견 (처방: {pre_serial})")
return jsonify({
'success': True,
'interactions': interactions,
'interaction_count': len(interactions),
'safe_count': max(0, safe_count),
'total_pairs': total_pairs,
'drugs_checked': drugs_info,
'interaction_drug_codes': list(interaction_drug_codes) # 상호작용 있는 약품 코드
})
except Exception as e:
# 에러 로깅
response_time_ms = int((time_module.time() - start_time) * 1000)
try:
log_kims_call(
pre_serial=pre_serial if 'pre_serial' in dir() else None,
source='admin',
drug_codes=drug_codes if 'drug_codes' in dir() else [],
api_status='ERROR',
response_time_ms=response_time_ms,
error_message=str(e)
)
except:
pass
logging.error(f"KIMS 상호작용 체크 오류: {e}")
return jsonify({
'success': False,
'error': f'서버 오류: {str(e)}'
}), 500
# ==============================================================================
# 반려동물 API
# ==============================================================================
# 견종/묘종 데이터
DOG_BREEDS = [
'말티즈', '푸들', '포메라니안', '치와와', '시츄', '요크셔테리어',
'비숑프리제', '골든리트리버', '래브라도리트리버', '진돗개', '시바견',
'웰시코기', '닥스훈트', '비글', '보더콜리', '프렌치불독', '불독',
'슈나우저', '사모예드', '허스키', '믹스견', '기타'
]
CAT_BREEDS = [
'코리안숏헤어', '페르시안', '러시안블루', '샴', '먼치킨', '랙돌',
'브리티쉬숏헤어', '아메리칸숏헤어', '스코티쉬폴드', '노르웨이숲',
'메인쿤', '뱅갈', '아비시니안', '터키쉬앙고라', '믹스묘', '기타'
]
@app.route('/api/pets', methods=['GET'])
def get_pets():
"""사용자의 반려동물 목록 조회"""
# 세션에서 로그인 유저 확인
user_id = session.get('logged_in_user_id')
if not user_id:
return jsonify({'success': False, 'error': '로그인이 필요합니다.'}), 401
try:
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT id, name, species, breed, gender, birth_date,
age_months, weight, photo_url, notes, created_at
FROM pets
WHERE user_id = ? AND is_active = TRUE
ORDER BY created_at DESC
""", (user_id,))
pets = []
for row in cursor.fetchall():
pets.append({
'id': row['id'],
'name': row['name'],
'species': row['species'],
'species_label': '강아지 🐕' if row['species'] == 'dog' else ('고양이 🐈' if row['species'] == 'cat' else '기타'),
'breed': row['breed'],
'gender': row['gender'],
'birth_date': row['birth_date'],
'age_months': row['age_months'],
'weight': float(row['weight']) if row['weight'] else None,
'photo_url': row['photo_url'],
'notes': row['notes'],
'created_at': utc_to_kst_str(row['created_at'])
})
return jsonify({'success': True, 'pets': pets, 'count': len(pets)})
except Exception as e:
logging.error(f"반려동물 조회 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/pets', methods=['POST'])
def create_pet():
"""반려동물 등록"""
user_id = session.get('logged_in_user_id')
if not user_id:
return jsonify({'success': False, 'error': '로그인이 필요합니다.'}), 401
try:
data = request.get_json()
name = data.get('name', '').strip()
species = data.get('species', '').strip() # dog, cat, other
breed = data.get('breed', '').strip()
gender = data.get('gender') # male, female, unknown
if not name:
return jsonify({'success': False, 'error': '이름을 입력해주세요.'}), 400
if species not in ['dog', 'cat', 'other']:
return jsonify({'success': False, 'error': '종류를 선택해주세요.'}), 400
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
cursor.execute("""
INSERT INTO pets (user_id, name, species, breed, gender)
VALUES (?, ?, ?, ?, ?)
""", (user_id, name, species, breed, gender))
pet_id = cursor.lastrowid
conn.commit()
logging.info(f"반려동물 등록: user_id={user_id}, pet_id={pet_id}, name={name}, species={species}")
return jsonify({
'success': True,
'pet_id': pet_id,
'message': f'{name}이(가) 등록되었습니다!'
})
except Exception as e:
logging.error(f"반려동물 등록 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/pets/', methods=['PUT'])
def update_pet(pet_id):
"""반려동물 정보 수정"""
user_id = session.get('logged_in_user_id')
if not user_id:
return jsonify({'success': False, 'error': '로그인이 필요합니다.'}), 401
try:
data = request.get_json()
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
# 소유권 확인
cursor.execute("SELECT id FROM pets WHERE id = ? AND user_id = ?", (pet_id, user_id))
if not cursor.fetchone():
return jsonify({'success': False, 'error': '반려동물을 찾을 수 없습니다.'}), 404
# 업데이트 필드 구성
updates = []
params = []
if 'name' in data:
updates.append("name = ?")
params.append(data['name'].strip())
if 'species' in data:
updates.append("species = ?")
params.append(data['species'])
if 'breed' in data:
updates.append("breed = ?")
params.append(data['breed'])
if 'gender' in data:
updates.append("gender = ?")
params.append(data['gender'])
if 'birth_date' in data:
updates.append("birth_date = ?")
params.append(data['birth_date'])
if 'age_months' in data:
updates.append("age_months = ?")
params.append(data['age_months'])
if 'weight' in data:
updates.append("weight = ?")
params.append(data['weight'])
if 'notes' in data:
updates.append("notes = ?")
params.append(data['notes'])
if updates:
updates.append("updated_at = CURRENT_TIMESTAMP")
params.append(pet_id)
cursor.execute(f"""
UPDATE pets SET {', '.join(updates)} WHERE id = ?
""", params)
conn.commit()
return jsonify({'success': True, 'message': '수정되었습니다.'})
except Exception as e:
logging.error(f"반려동물 수정 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/pets/', methods=['DELETE'])
def delete_pet(pet_id):
"""반려동물 삭제 (soft delete)"""
user_id = session.get('logged_in_user_id')
if not user_id:
return jsonify({'success': False, 'error': '로그인이 필요합니다.'}), 401
try:
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
# 소유권 확인 및 삭제
cursor.execute("""
UPDATE pets SET is_active = FALSE, updated_at = CURRENT_TIMESTAMP
WHERE id = ? AND user_id = ?
""", (pet_id, user_id))
if cursor.rowcount == 0:
return jsonify({'success': False, 'error': '반려동물을 찾을 수 없습니다.'}), 404
conn.commit()
return jsonify({'success': True, 'message': '삭제되었습니다.'})
except Exception as e:
logging.error(f"반려동물 삭제 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/pets//photo', methods=['POST'])
def upload_pet_photo(pet_id):
"""반려동물 사진 업로드"""
user_id = session.get('logged_in_user_id')
if not user_id:
return jsonify({'success': False, 'error': '로그인이 필요합니다.'}), 401
try:
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
# 소유권 확인
cursor.execute("SELECT id, name FROM pets WHERE id = ? AND user_id = ?", (pet_id, user_id))
pet = cursor.fetchone()
if not pet:
return jsonify({'success': False, 'error': '반려동물을 찾을 수 없습니다.'}), 404
if 'photo' not in request.files:
return jsonify({'success': False, 'error': '사진 파일이 없습니다.'}), 400
file = request.files['photo']
if file.filename == '':
return jsonify({'success': False, 'error': '파일을 선택해주세요.'}), 400
# 파일 확장자 체크
allowed = {'png', 'jpg', 'jpeg', 'gif', 'webp'}
ext = file.filename.rsplit('.', 1)[-1].lower() if '.' in file.filename else ''
if ext not in allowed:
return jsonify({'success': False, 'error': '지원하지 않는 이미지 형식입니다.'}), 400
# 파일 저장
import uuid
filename = f"pet_{pet_id}_{uuid.uuid4().hex[:8]}.{ext}"
upload_dir = Path(app.root_path) / 'static' / 'uploads' / 'pets'
upload_dir.mkdir(parents=True, exist_ok=True)
filepath = upload_dir / filename
file.save(str(filepath))
# DB 업데이트
photo_url = f"/static/uploads/pets/{filename}"
cursor.execute("""
UPDATE pets SET photo_url = ?, updated_at = CURRENT_TIMESTAMP WHERE id = ?
""", (photo_url, pet_id))
conn.commit()
logging.info(f"반려동물 사진 업로드: pet_id={pet_id}, filename={filename}")
return jsonify({
'success': True,
'photo_url': photo_url,
'message': f'{pet["name"]} 사진이 등록되었습니다!'
})
except Exception as e:
logging.error(f"반려동물 사진 업로드 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/pets/breeds/')
def get_breeds(species):
"""종류별 품종 목록 조회"""
if species == 'dog':
return jsonify({'success': True, 'breeds': DOG_BREEDS})
elif species == 'cat':
return jsonify({'success': True, 'breeds': CAT_BREEDS})
else:
return jsonify({'success': True, 'breeds': ['기타']})
# ═══════════════════════════════════════════════════════════════════════════════
# POS 실시간 판매 조회 (Qt GUI 웹 버전)
# ═══════════════════════════════════════════════════════════════════════════════
@app.route('/admin/pos-live')
def admin_pos_live():
"""POS 실시간 판매 조회 페이지 (Qt GUI 웹 버전)"""
return render_template('admin_pos_live.html')
@app.route('/api/admin/pos-live')
def api_admin_pos_live():
"""
실시간 판매 내역 API (Qt GUI와 동일한 쿼리)
- MSSQL: SALE_MAIN, CD_SUNAB, SALE_SUB
- SQLite: claim_tokens, users, mileage_ledger
"""
date_str = request.args.get('date')
if not date_str:
date_str = datetime.now().strftime('%Y%m%d')
mssql_conn = None
try:
# MSSQL 연결
mssql_engine = db_manager.get_engine('PM_PRES')
mssql_conn = mssql_engine.raw_connection()
mssql_cursor = mssql_conn.cursor()
# SQLite 연결
sqlite_conn = db_manager.get_sqlite_connection()
sqlite_cursor = sqlite_conn.cursor()
# 메인 쿼리: SALE_MAIN + CD_SUNAB 조인
query = """
SELECT
M.SL_NO_order,
M.InsertTime,
M.SL_MY_sale,
ISNULL(M.SL_NM_custom, '') AS customer_name,
M.SL_CD_custom AS customer_code,
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
"""
mssql_cursor.execute(query, date_str)
rows = mssql_cursor.fetchall()
sales_list = []
total_sales = 0
for row in rows:
order_no, insert_time, sale_amount, customer, customer_code, card_total, cash_total, total_amount, discount, cash_receipt_mode, cash_receipt_num = row
# 품목 수 조회 (SALE_SUB)
mssql_cursor.execute("""
SELECT COUNT(*) FROM SALE_SUB WHERE SL_NO_order = ?
""", order_no)
item_count_row = mssql_cursor.fetchone()
item_count = item_count_row[0] if item_count_row else 0
# SQLite에서 QR 발행 여부 확인
sqlite_cursor.execute("""
SELECT id FROM claim_tokens WHERE transaction_id = ?
""", (order_no,))
qr_record = sqlite_cursor.fetchone()
qr_issued = bool(qr_record)
# SQLite에서 적립 사용자 조회 (user_id 포함)
sqlite_cursor.execute("""
SELECT u.id as user_id, u.nickname, u.phone, ct.claimable_points
FROM claim_tokens ct
LEFT JOIN users u ON ct.claimed_by_user_id = u.id
WHERE ct.transaction_id = ? AND ct.claimed_at IS NOT NULL
""", (order_no,))
claimed_user = sqlite_cursor.fetchone()
# 적립 사용자 정보 분리
claimed_user_id = None
if claimed_user and claimed_user['nickname'] and claimed_user['phone']:
claimed_user_id = claimed_user['user_id']
claimed_name = claimed_user['nickname']
claimed_phone = claimed_user['phone']
claimed_points = claimed_user['claimable_points']
else:
claimed_name = ""
claimed_phone = ""
claimed_points = 0
# 반려동물 정보 조회
pets_list = []
if claimed_user_id:
sqlite_cursor.execute("""
SELECT name, species, breed, photo_url
FROM pets
WHERE user_id = ? AND is_active = 1
""", (claimed_user_id,))
pets_rows = sqlite_cursor.fetchall()
for pet in pets_rows:
pets_list.append({
'name': pet['name'],
'species': pet['species'], # dog, cat
'breed': pet['breed'] or '',
'photo_url': pet['photo_url'] or ''
})
# 결제수단 판별
card_amt = float(card_total) if card_total else 0.0
cash_amt = float(cash_total) if cash_total else 0.0
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
sale_amt = float(sale_amount) if sale_amount else 0.0
total_sales += sale_amt
sales_list.append({
'order_no': order_no,
'time': insert_time.strftime('%H:%M') if insert_time else '--:--',
'amount': sale_amt,
'discount': disc_amt,
'total_before_dc': total_amt,
'customer': customer if customer else '',
'customer_code': customer_code if customer_code else '0000000000',
'pay_method': pay_method,
'paid': paid,
'item_count': item_count,
'claimed_name': claimed_name,
'claimed_phone': claimed_phone,
'claimed_points': claimed_points,
'qr_issued': qr_issued,
'pets': pets_list # 반려동물 정보
})
return jsonify({
'success': True,
'date': date_str,
'count': len(sales_list),
'total_sales': total_sales,
'sales': sales_list
})
except Exception as e:
logging.error(f"POS 실시간 조회 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
finally:
if mssql_conn:
mssql_conn.close()
@app.route('/api/admin/pos-live/detail/')
def api_admin_pos_live_detail(order_no):
"""
판매 상세 조회 API (SALE_SUB 품목 목록)
"""
mssql_conn = None
try:
mssql_engine = db_manager.get_engine('PM_PRES')
mssql_conn = mssql_engine.raw_connection()
cursor = mssql_conn.cursor()
# 품목 상세 조회 (바코드 포함 - CD_GOODS 또는 CD_ITEM_UNIT_MEMBER에서)
cursor.execute("""
SELECT
S.DrugCode AS drug_code,
ISNULL(G.GoodsName, '(약품명 없음)') AS product_name,
S.SL_NM_item AS quantity,
S.SL_NM_cost_a AS unit_price,
S.SL_TOTAL_PRICE AS total_price,
COALESCE(NULLIF(G.Barcode, ''),
(SELECT TOP 1 CD_CD_BARCODE FROM PM_DRUG.dbo.CD_ITEM_UNIT_MEMBER WHERE DrugCode = S.DrugCode)
) AS barcode
FROM SALE_SUB S
LEFT JOIN PM_DRUG.dbo.CD_GOODS G ON S.DrugCode = G.DrugCode
WHERE S.SL_NO_order = ?
ORDER BY S.DrugCode
""", order_no)
rows = cursor.fetchall()
items = []
seen_drugs = set() # 중복 제거용
for row in rows:
drug_code = row[0]
if drug_code in seen_drugs:
continue
seen_drugs.add(drug_code)
items.append({
'drug_code': drug_code,
'product_name': row[1],
'quantity': int(row[2]) if row[2] else 0,
'unit_price': float(row[3]) if row[3] else 0,
'total_price': float(row[4]) if row[4] else 0,
'barcode': row[5] or ''
})
return jsonify({
'success': True,
'order_no': order_no,
'items': items
})
except Exception as e:
logging.error(f"판매 상세 조회 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
finally:
if mssql_conn:
mssql_conn.close()
# ==============================================================================
# MSSQL 회원번호(CUSCODE) ↔ SQLite user 맵핑 공통 함수
# ==============================================================================
def get_sqlite_user_by_cuscode(cus_code):
"""
MSSQL 회원번호(CUSCODE)로 SQLite user 조회
맵핑 방식:
1. CD_PERSON에서 CUSCODE로 이름+전화번호 조회
2. SQLite users에서 이름+전화뒤4자리로 매칭
Returns:
dict: {'id', 'nickname', 'phone', 'mileage_balance'} 또는 None
"""
if not cus_code or cus_code == '0000000000':
return None
mssql_conn = None
try:
# 1. CD_PERSON에서 이름, 전화번호 조회
mssql_engine = db_manager.get_engine('PM_BASE')
mssql_conn = mssql_engine.raw_connection()
cursor = mssql_conn.cursor()
cursor.execute("""
SELECT PANAME, PHONE, TEL_NO, PHONE2
FROM CD_PERSON
WHERE CUSCODE = ?
""", cus_code)
row = cursor.fetchone()
if not row:
return None
name, phone1, phone2, phone3 = row
phone = phone1 or phone2 or phone3 or ''
phone_digits = ''.join(c for c in phone if c.isdigit())
last4 = phone_digits[-4:] if len(phone_digits) >= 4 else ''
if not name or not last4:
return None
# 2. SQLite에서 이름+전화뒤4자리로 매칭
sqlite_conn = db_manager.get_sqlite_connection()
sqlite_cursor = sqlite_conn.cursor()
sqlite_cursor.execute("""
SELECT id, nickname, phone, mileage_balance
FROM users
""")
for user in sqlite_cursor.fetchall():
user_phone = ''.join(c for c in (user['phone'] or '') if c.isdigit())
user_last4 = user_phone[-4:] if len(user_phone) >= 4 else ''
if user['nickname'] == name and user_last4 == last4:
return dict(user)
return None
except Exception as e:
logging.error(f"CUSCODE→SQLite 맵핑 오류: {e}")
return None
finally:
if mssql_conn:
mssql_conn.close()
@app.route('/api/customers//mileage')
def api_customer_mileage(cus_code):
"""
고객 마일리지 조회 API (비동기)
- CD_PERSON에서 이름+전화번호 조회
- SQLite users와 이름+전화뒤4자리로 매칭
"""
user = get_sqlite_user_by_cuscode(cus_code)
if user:
return jsonify({
'success': True,
'mileage': user['mileage_balance'] or 0,
'name': user['nickname']
})
else:
return jsonify({'success': False, 'mileage': None})
@app.route('/api/customers//pets')
def api_customer_pets(cus_code):
"""
고객 반려동물 조회 API
- MSSQL 회원번호(CUSCODE)로 SQLite user 맵핑
- 해당 user의 반려동물 목록 반환
"""
user = get_sqlite_user_by_cuscode(cus_code)
if not user:
return jsonify({
'success': False,
'message': '매칭된 회원이 없습니다',
'pets': []
})
try:
sqlite_conn = db_manager.get_sqlite_connection()
cursor = sqlite_conn.cursor()
cursor.execute("""
SELECT id, name, species, breed, gender, birth_date,
age_months, weight, photo_url, notes, created_at
FROM pets
WHERE user_id = ? AND is_active = TRUE
ORDER BY created_at DESC
""", (user['id'],))
# 이미지 URL 베이스 (외부 접근용, https 강제)
base_url = request.host_url.rstrip('/').replace('http://', 'https://')
pets = []
for row in cursor.fetchall():
species = row['species']
species_label = '강아지 🐕' if species == 'dog' else ('고양이 🐈' if species == 'cat' else '기타')
# photo_url을 절대 URL로 변환
photo_url = row['photo_url']
if photo_url and photo_url.startswith('/'):
photo_url = base_url + photo_url
pets.append({
'id': row['id'],
'name': row['name'],
'species': species,
'species_label': species_label,
'breed': row['breed'],
'gender': row['gender'],
'birth_date': row['birth_date'],
'age_months': row['age_months'],
'weight': float(row['weight']) if row['weight'] else None,
'photo_url': photo_url,
'notes': row['notes']
})
return jsonify({
'success': True,
'user_id': user['id'],
'user_name': user['nickname'],
'pets': pets
})
except Exception as e:
logging.error(f"반려동물 조회 오류: {e}")
return jsonify({
'success': False,
'error': str(e),
'pets': []
}), 500
@app.route('/api/customers/search')
def api_customers_search():
"""
고객 검색 API (CD_PERSON + 최근 조제/구매 활동)
- name: 검색할 이름
- 결과: 최근 활동순 정렬, 생년월일 포함
"""
name = request.args.get('name', '').strip()
if not name or len(name) < 2:
return jsonify({'success': False, 'error': '이름을 2자 이상 입력하세요.'}), 400
mssql_conn = None
try:
mssql_engine = db_manager.get_engine('PM_BASE')
mssql_conn = mssql_engine.raw_connection()
cursor = mssql_conn.cursor()
# CD_PERSON에서 이름으로 검색 + 최근 조제/구매일 조인
cursor.execute("""
SELECT DISTINCT
p.CUSCODE,
p.PANAME,
LEFT(p.PANUM, 6) AS birth_date,
p.PHONE,
(SELECT MAX(Indate) FROM PM_PRES.dbo.PS_main WHERE CusCode = p.CUSCODE) AS last_rx,
(SELECT MAX(InsertTime) FROM PM_PRES.dbo.SALE_MAIN WHERE SL_CD_custom = p.CUSCODE) AS last_sale
FROM CD_PERSON p
WHERE p.PANAME LIKE ?
ORDER BY p.PANAME
""", f'%{name}%')
rows = cursor.fetchall()
results = []
for row in rows:
cus_code, pa_name, birth, phone, last_rx, last_sale = row
# 최근 활동일 계산
last_activity = None
activity_type = None
if last_rx and last_sale:
# 둘 다 있으면 더 최근 것
rx_date = datetime.strptime(last_rx, '%Y%m%d') if isinstance(last_rx, str) else last_rx
if isinstance(last_sale, datetime):
if rx_date > last_sale:
last_activity = rx_date
activity_type = '조제'
else:
last_activity = last_sale
activity_type = '구매'
else:
last_activity = rx_date
activity_type = '조제'
elif last_rx:
last_activity = datetime.strptime(last_rx, '%Y%m%d') if isinstance(last_rx, str) else last_rx
activity_type = '조제'
elif last_sale:
last_activity = last_sale
activity_type = '구매'
# 며칠 전 계산
days_ago = None
if last_activity:
if isinstance(last_activity, datetime):
days_ago = (datetime.now() - last_activity).days
else:
days_ago = (datetime.now() - datetime.strptime(str(last_activity)[:8], '%Y%m%d')).days
results.append({
'cus_code': cus_code,
'name': pa_name,
'birth': birth if birth else '',
'phone': phone if phone else '',
'activity_type': activity_type,
'days_ago': days_ago,
'last_activity': last_activity.strftime('%Y-%m-%d') if last_activity else None
})
# 최근 활동순 정렬 (활동 있는 것 먼저, 그 중 최근 것 먼저)
results.sort(key=lambda x: (x['days_ago'] is None, x['days_ago'] if x['days_ago'] is not None else 9999))
return jsonify({
'success': True,
'results': results[:50] # 최대 50개
})
except Exception as e:
logging.error(f"고객 검색 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
finally:
if mssql_conn:
mssql_conn.close()
@app.route('/api/pos-live//customer', methods=['PUT'])
def api_pos_live_update_customer(order_no):
"""
판매 건의 고객 정보 업데이트 API
- cus_code: 고객 코드 (CD_PERSON.CUSCODE)
- cus_name: 고객 이름
"""
data = request.get_json()
if not data:
return jsonify({'success': False, 'error': 'JSON 데이터 필요'}), 400
cus_code = data.get('cus_code', '').strip()
cus_name = data.get('cus_name', '').strip()
if not cus_code or not cus_name:
return jsonify({'success': False, 'error': '고객 코드와 이름 필요'}), 400
mssql_conn = None
try:
mssql_engine = db_manager.get_engine('PM_PRES')
mssql_conn = mssql_engine.raw_connection()
cursor = mssql_conn.cursor()
# SALE_MAIN 업데이트
cursor.execute("""
UPDATE SALE_MAIN
SET SL_CD_custom = ?, SL_NM_custom = ?
WHERE SL_NO_order = ?
""", cus_code, cus_name, order_no)
mssql_conn.commit()
return jsonify({
'success': True,
'message': f'고객 정보가 {cus_name}({cus_code})으로 업데이트되었습니다.'
})
except Exception as e:
logging.error(f"고객 정보 업데이트 오류: {e}")
if mssql_conn:
mssql_conn.rollback()
return jsonify({'success': False, 'error': str(e)}), 500
finally:
if mssql_conn:
mssql_conn.close()
@app.route('/api/admin/user-mileage/')
def api_admin_user_mileage(phone):
"""
회원 마일리지 내역 API
"""
try:
sqlite_conn = db_manager.get_sqlite_connection()
cursor = sqlite_conn.cursor()
# 전화번호로 사용자 조회
cursor.execute("""
SELECT id, nickname, phone, mileage_balance, created_at
FROM users WHERE phone = ?
""", (phone,))
user = cursor.fetchone()
if not user:
return jsonify({'success': False, 'error': '등록되지 않은 회원입니다.'}), 404
# 적립 내역 조회
cursor.execute("""
SELECT points, balance_after, reason, description, created_at
FROM mileage_ledger
WHERE user_id = ?
ORDER BY created_at DESC
LIMIT 50
""", (user['id'],))
transactions = cursor.fetchall()
history = []
for tx in transactions:
history.append({
'points': tx['points'],
'balance_after': tx['balance_after'],
'reason': tx['reason'],
'description': tx['description'],
'created_at': tx['created_at']
})
return jsonify({
'success': True,
'user': {
'id': user['id'],
'nickname': user['nickname'],
'phone': user['phone'],
'mileage_balance': user['mileage_balance'],
'created_at': user['created_at']
},
'history': history
})
except Exception as e:
logging.error(f"회원 마일리지 조회 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
# ═══════════════════════════════════════════════════════════════════════════════
# QR 라벨 생성 및 프린터 출력 API (Brother QL-810W)
# ═══════════════════════════════════════════════════════════════════════════════
@app.route('/api/admin/qr/generate', methods=['POST'])
def api_admin_qr_generate():
"""
QR 토큰 생성 API
- claim_tokens 테이블에 저장
- 미리보기 이미지 반환 (선택)
"""
try:
data = request.get_json()
order_no = data.get('order_no')
amount = data.get('amount', 0)
preview = data.get('preview', True) # 기본: 미리보기
if not order_no:
return jsonify({'success': False, 'error': '주문번호가 필요합니다'}), 400
# 기존 모듈 import (v2: 서버 동기화 포함)
from utils.qr_token_generator import generate_and_sync_token
from utils.qr_label_printer import print_qr_label
# 거래 시간 조회 (MSSQL)
mssql_engine = db_manager.get_engine('PM_PRES')
mssql_conn = mssql_engine.raw_connection()
cursor = mssql_conn.cursor()
cursor.execute("""
SELECT InsertTime, SL_MY_sale FROM SALE_MAIN WHERE SL_NO_order = ?
""", order_no)
row = cursor.fetchone()
mssql_conn.close()
if not row:
return jsonify({'success': False, 'error': f'거래를 찾을 수 없습니다: {order_no}'}), 404
transaction_time = row[0] or datetime.now()
if amount <= 0:
amount = float(row[1]) if row[1] else 0
# 1. 토큰 생성 + 로컬 저장 + 서버 동기화 (v2)
# 품목 조회 (MSSQL SALE_SUB - 수납완료 데이터)
sale_items = get_sale_items(order_no)
token_info = generate_and_sync_token(order_no, amount, get_pharmacy_code(), items=sale_items)
if not token_info.get('local_saved'):
return jsonify({'success': False, 'error': token_info.get('local_error', 'DB 저장 실패')}), 400
# 서버 동기화 로그
if token_info.get('synced'):
print(f"[QR] 서버 동기화 완료: {order_no} → ID:{token_info.get('server_token_id')}")
else:
print(f"[QR] 서버 동기화 실패 (오프라인?): {order_no}")
# 3. 미리보기 이미지 생성
image_url = None
if preview:
success, image_path = print_qr_label(
token_info['qr_url'],
order_no,
amount,
token_info['claimable_points'],
transaction_time,
preview_mode=True
)
if success and image_path:
# 상대 경로로 변환
filename = os.path.basename(image_path)
image_url = f'/static/temp/{filename}'
# temp 폴더를 static에서 접근 가능하게 복사
static_temp = os.path.join(os.path.dirname(__file__), 'static', 'temp')
os.makedirs(static_temp, exist_ok=True)
import shutil
shutil.copy(image_path, os.path.join(static_temp, filename))
return jsonify({
'success': True,
'order_no': order_no,
'amount': amount,
'claimable_points': token_info['claimable_points'],
'qr_url': token_info['qr_url'],
'expires_at': token_info['expires_at'].strftime('%Y-%m-%d %H:%M'),
'image_url': image_url
})
except Exception as e:
logging.error(f"QR 생성 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/admin/qr/print', methods=['POST'])
def api_admin_qr_print():
"""
QR 라벨 프린터 출력 API (Brother QL-810W)
"""
try:
data = request.get_json()
order_no = data.get('order_no')
printer_type = data.get('printer', 'brother') # 'brother' or 'pos'
if not order_no:
return jsonify({'success': False, 'error': '주문번호가 필요합니다'}), 400
# claim_tokens에서 정보 조회
sqlite_conn = db_manager.get_sqlite_connection()
cursor = sqlite_conn.cursor()
cursor.execute("""
SELECT token_hash, total_amount, claimable_points, created_at
FROM claim_tokens WHERE transaction_id = ?
""", (order_no,))
token_row = cursor.fetchone()
if not token_row:
return jsonify({'success': False, 'error': 'QR이 생성되지 않은 거래입니다. 먼저 생성해주세요.'}), 404
# 거래 시간 조회 (MSSQL)
mssql_engine = db_manager.get_engine('PM_PRES')
mssql_conn = mssql_engine.raw_connection()
mssql_cursor = mssql_conn.cursor()
mssql_cursor.execute("""
SELECT InsertTime FROM SALE_MAIN WHERE SL_NO_order = ?
""", order_no)
row = mssql_cursor.fetchone()
mssql_conn.close()
transaction_time = row[0] if row else datetime.now()
# QR URL 재생성 (토큰 해시에서)
from utils.qr_token_generator import QR_BASE_URL
# claim_tokens에서 nonce를 저장하지 않으므로, 새로 생성
# 하지만 이미 저장된 경우 재출력만 하면 됨
# 실제로는 token_hash로 검증하므로 QR URL은 동일하게 유지해야 함
# 여기서는 간단히 재생성 (실제로는 nonce도 저장하는 게 좋음)
from utils.qr_token_generator import generate_claim_token
amount = token_row['total_amount']
claimable_points = token_row['claimable_points']
# 새 토큰 생성 (URL용) - 기존 토큰과 다르지만 적립 시 해시로 검증
# 주의: 실제로는 기존 토큰을 저장하고 재사용해야 함
# 여기서는 임시로 새 URL 생성 (인쇄만 다시 하는 케이스)
token_info = generate_claim_token(order_no, amount)
if printer_type == 'brother':
from utils.qr_label_printer import print_qr_label
success = print_qr_label(
token_info['qr_url'],
order_no,
amount,
claimable_points,
transaction_time,
preview_mode=False
)
if success:
return jsonify({
'success': True,
'message': f'Brother QL-810W 라벨 출력 완료 ({claimable_points}P)'
})
else:
return jsonify({'success': False, 'error': 'Brother 프린터 전송 실패'}), 500
elif printer_type == 'pos':
from utils.pos_qr_printer import print_qr_receipt_escpos
# POS 프린터 설정 (config.json에서)
config_path = os.path.join(os.path.dirname(__file__), 'config.json')
pos_config = {}
if os.path.exists(config_path):
import json
with open(config_path, 'r', encoding='utf-8') as f:
config = json.load(f)
pos_config = config.get('pos_printer', {})
if not pos_config.get('ip'):
return jsonify({'success': False, 'error': 'POS 프린터 설정이 필요합니다'}), 400
success = print_qr_receipt_escpos(
token_info['qr_url'],
order_no,
amount,
claimable_points,
transaction_time,
pos_config['ip'],
pos_config.get('port', 9100)
)
if success:
return jsonify({
'success': True,
'message': f'POS 영수증 출력 완료 ({claimable_points}P)'
})
else:
return jsonify({'success': False, 'error': 'POS 프린터 전송 실패'}), 500
else:
return jsonify({'success': False, 'error': f'지원하지 않는 프린터: {printer_type}'}), 400
except Exception as e:
logging.error(f"QR 출력 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
# ============================================================================
# OTC 용법 라벨 시스템 API
# ============================================================================
@app.route('/admin/otc-labels')
def admin_otc_labels():
"""OTC 용법 라벨 관리 페이지"""
return render_template('admin_otc_labels.html')
@app.route('/api/admin/otc-labels', methods=['GET'])
def api_get_otc_labels():
"""OTC 라벨 프리셋 목록 조회"""
try:
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT id, barcode, drug_code, display_name, effect,
dosage_instruction, usage_tip, use_wide_format,
print_count, last_printed_at, created_at, updated_at
FROM otc_label_presets
ORDER BY updated_at DESC
""")
rows = cursor.fetchall()
labels = [dict(row) for row in rows]
return jsonify({
'success': True,
'count': len(labels),
'labels': labels
})
except Exception as e:
logging.error(f"OTC 라벨 목록 조회 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/admin/otc-labels/', methods=['GET'])
def api_get_otc_label(barcode):
"""OTC 라벨 프리셋 단건 조회 (바코드 기준)"""
try:
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT id, barcode, drug_code, display_name, effect,
dosage_instruction, usage_tip, use_wide_format,
print_count, last_printed_at, created_at, updated_at
FROM otc_label_presets
WHERE barcode = ?
""", (barcode,))
row = cursor.fetchone()
if not row:
return jsonify({'success': False, 'error': '등록된 프리셋이 없습니다.', 'exists': False}), 404
return jsonify({
'success': True,
'exists': True,
'label': dict(row)
})
except Exception as e:
logging.error(f"OTC 라벨 조회 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/admin/otc-labels', methods=['POST'])
def api_upsert_otc_label():
"""OTC 라벨 프리셋 등록/수정 (Upsert)"""
try:
data = request.get_json()
if not data or not data.get('barcode'):
return jsonify({'success': False, 'error': 'barcode는 필수입니다.'}), 400
barcode = data['barcode']
drug_code = data.get('drug_code', '')
display_name = data.get('display_name', '')
effect = data.get('effect', '')
dosage_instruction = data.get('dosage_instruction', '')
usage_tip = data.get('usage_tip', '')
use_wide_format = data.get('use_wide_format', True)
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
# Upsert (INSERT OR REPLACE)
cursor.execute("""
INSERT INTO otc_label_presets
(barcode, drug_code, display_name, effect, dosage_instruction, usage_tip, use_wide_format, updated_at)
VALUES (?, ?, ?, ?, ?, ?, ?, CURRENT_TIMESTAMP)
ON CONFLICT(barcode) DO UPDATE SET
drug_code = excluded.drug_code,
display_name = excluded.display_name,
effect = excluded.effect,
dosage_instruction = excluded.dosage_instruction,
usage_tip = excluded.usage_tip,
use_wide_format = excluded.use_wide_format,
updated_at = CURRENT_TIMESTAMP
""", (barcode, drug_code, display_name, effect, dosage_instruction, usage_tip, use_wide_format))
conn.commit()
return jsonify({
'success': True,
'message': f'라벨 프리셋 저장 완료 ({barcode})'
})
except Exception as e:
logging.error(f"OTC 라벨 저장 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/admin/otc-labels/', methods=['DELETE'])
def api_delete_otc_label(barcode):
"""OTC 라벨 프리셋 삭제"""
try:
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
cursor.execute("DELETE FROM otc_label_presets WHERE barcode = ?", (barcode,))
conn.commit()
if cursor.rowcount > 0:
return jsonify({'success': True, 'message': f'삭제 완료 ({barcode})'})
else:
return jsonify({'success': False, 'error': '존재하지 않는 프리셋'}), 404
except Exception as e:
logging.error(f"OTC 라벨 삭제 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/admin/otc-labels/preview', methods=['POST'])
def api_preview_otc_label():
"""OTC 라벨 미리보기 이미지 생성"""
try:
data = request.get_json()
if not data:
return jsonify({'success': False, 'error': '요청 데이터가 없습니다.'}), 400
drug_name = data.get('drug_name', '약품명')
effect = data.get('effect', '')
dosage_instruction = data.get('dosage_instruction', '')
usage_tip = data.get('usage_tip', '')
if not OTC_LABEL_AVAILABLE:
return jsonify({'success': False, 'error': 'OTC 라벨 모듈이 로드되지 않았습니다.'}), 500
preview_url = generate_preview_image(drug_name, effect, dosage_instruction, usage_tip)
if preview_url:
return jsonify({
'success': True,
'preview_url': preview_url
})
else:
return jsonify({'success': False, 'error': '미리보기 생성 실패'}), 500
except Exception as e:
logging.error(f"OTC 라벨 미리보기 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/admin/otc-labels/print', methods=['POST'])
def api_print_otc_label():
"""OTC 라벨 인쇄 (Brother QL-810W)"""
try:
data = request.get_json()
if not data:
return jsonify({'success': False, 'error': '요청 데이터가 없습니다.'}), 400
barcode = data.get('barcode')
drug_name = data.get('drug_name', '약품명')
effect = data.get('effect', '')
dosage_instruction = data.get('dosage_instruction', '')
usage_tip = data.get('usage_tip', '')
if not OTC_LABEL_AVAILABLE:
return jsonify({'success': False, 'error': 'OTC 라벨 모듈이 로드되지 않았습니다.'}), 500
success = print_otc_label(drug_name, effect, dosage_instruction, usage_tip)
if success:
# 인쇄 횟수 업데이트
if barcode:
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
cursor.execute("""
UPDATE otc_label_presets
SET print_count = print_count + 1, last_printed_at = CURRENT_TIMESTAMP
WHERE barcode = ?
""", (barcode,))
conn.commit()
return jsonify({
'success': True,
'message': f'라벨 인쇄 완료: {drug_name}'
})
else:
return jsonify({'success': False, 'error': '프린터 전송 실패'}), 500
except Exception as e:
logging.error(f"OTC 라벨 인쇄 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
# ═══════════════════════════════════════════════════════════════════════════════
# OTC 라벨 바로 인쇄 API (GET - URL로 바로 인쇄) - 외부 CORS 지원
# ═══════════════════════════════════════════════════════════════════════════════
@app.route('/api/otc-label-print/')
def api_otc_label_print_by_barcode(barcode):
"""
OTC 라벨 바로 인쇄 (GET 방식)
GET /api/otc-label-print/8806436044814
- CORS 지원 (외부에서 호출 가능)
- 저장된 프리셋이 있으면 해당 데이터로 인쇄
- 프리셋이 없으면 MSSQL에서 약품명 조회 후 기본 라벨 인쇄
"""
try:
if not OTC_LABEL_AVAILABLE:
response = jsonify({'success': False, 'error': 'OTC 라벨 모듈이 로드되지 않았습니다.'})
response.headers['Access-Control-Allow-Origin'] = '*'
return response, 500
# 1. 프리셋 조회
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
cursor.execute("""
SELECT display_name, effect, dosage_instruction, usage_tip
FROM otc_label_presets
WHERE barcode = ?
""", (barcode,))
preset = cursor.fetchone()
if preset:
# 프리셋 있음 → 프리셋 데이터로 인쇄
drug_name = preset['display_name']
effect = preset['effect'] or ''
dosage_instruction = preset['dosage_instruction'] or ''
usage_tip = preset['usage_tip'] or ''
else:
# 프리셋 없음 → 인쇄 안 함
response = jsonify({
'success': False,
'error': f'바코드 {barcode}에 등록된 라벨 프리셋이 없습니다.',
'barcode': barcode,
'has_preset': False
})
response.headers['Access-Control-Allow-Origin'] = '*'
return response, 404
# 2. 인쇄 실행
success = print_otc_label(drug_name, effect, dosage_instruction, usage_tip)
if success:
# 인쇄 횟수 업데이트 (프리셋 있는 경우)
if preset:
cursor.execute("""
UPDATE otc_label_presets
SET print_count = print_count + 1, last_printed_at = CURRENT_TIMESTAMP
WHERE barcode = ?
""", (barcode,))
conn.commit()
response = jsonify({
'success': True,
'message': f'OTC 라벨 인쇄 완료: {drug_name}',
'barcode': barcode,
'drug_name': drug_name,
'has_preset': preset is not None
})
response.headers['Access-Control-Allow-Origin'] = '*'
return response
else:
response = jsonify({'success': False, 'error': '프린터 전송 실패'})
response.headers['Access-Control-Allow-Origin'] = '*'
return response, 500
except Exception as e:
logging.error(f"OTC 라벨 GET 인쇄 오류: {e}")
import traceback
traceback.print_exc()
response = jsonify({'success': False, 'error': str(e)})
response.headers['Access-Control-Allow-Origin'] = '*'
return response, 500
@app.route('/api/otc-label-print/', methods=['OPTIONS'])
def api_otc_label_print_options(barcode):
"""CORS preflight 요청 처리"""
response = make_response()
response.headers['Access-Control-Allow-Origin'] = '*'
response.headers['Access-Control-Allow-Methods'] = 'GET, OPTIONS'
response.headers['Access-Control-Allow-Headers'] = 'Content-Type'
return response
@app.route('/api/otc-label-check', methods=['GET', 'POST'])
def api_otc_label_check():
"""
OTC 라벨 프리셋 존재 여부 일괄 확인 API
GET /api/otc-label-check?barcodes=8806436044814,8806436058613
POST /api/otc-label-check {"barcodes": ["8806436044814", "8806436058613"]}
- CORS 지원 (외부에서 호출 가능)
- 장바구니 등에서 인쇄 버튼 활성화 여부 판단용
"""
try:
# 바코드 목록 파싱
if request.method == 'POST':
data = request.get_json() or {}
barcodes = data.get('barcodes', [])
else:
barcodes_param = request.args.get('barcodes', '')
barcodes = [b.strip() for b in barcodes_param.split(',') if b.strip()]
if not barcodes:
response = jsonify({'success': False, 'error': '바코드 목록이 필요합니다'})
response.headers['Access-Control-Allow-Origin'] = '*'
return response, 400
# 프리셋 존재 여부 확인
conn = db_manager.get_sqlite_connection()
cursor = conn.cursor()
placeholders = ','.join(['?' for _ in barcodes])
cursor.execute(f"""
SELECT barcode, display_name
FROM otc_label_presets
WHERE barcode IN ({placeholders})
""", barcodes)
preset_map = {row['barcode']: row['display_name'] for row in cursor.fetchall()}
# 결과 생성
results = []
printable_count = 0
for barcode in barcodes:
has_preset = barcode in preset_map
if has_preset:
printable_count += 1
results.append({
'barcode': barcode,
'has_preset': has_preset,
'display_name': preset_map.get(barcode),
'printable': has_preset
})
response = jsonify({
'success': True,
'total': len(barcodes),
'printable_count': printable_count,
'results': results
})
response.headers['Access-Control-Allow-Origin'] = '*'
return response
except Exception as e:
logging.error(f"OTC 라벨 체크 오류: {e}")
response = jsonify({'success': False, 'error': str(e)})
response.headers['Access-Control-Allow-Origin'] = '*'
return response, 500
@app.route('/api/otc-label-check', methods=['OPTIONS'])
def api_otc_label_check_options():
"""CORS preflight 요청 처리"""
response = make_response()
response.headers['Access-Control-Allow-Origin'] = '*'
response.headers['Access-Control-Allow-Methods'] = 'GET, POST, OPTIONS'
response.headers['Access-Control-Allow-Headers'] = 'Content-Type'
return response
@app.route('/api/admin/otc-labels/search-mssql', methods=['GET'])
def api_search_mssql_drug():
"""MSSQL에서 약품 검색 (바코드 또는 이름)"""
try:
query = request.args.get('q', '').strip()
if not query:
return jsonify({'success': False, 'error': '검색어를 입력해주세요.'}), 400
mssql_session = db_manager.get_session('PM_DRUG')
# 바코드 또는 이름으로 검색 (CD_ITEM_UNIT_MEMBER 바코드 포함)
sql = text("""
SELECT TOP 20
G.DrugCode,
COALESCE(NULLIF(G.Barcode, ''),
(SELECT TOP 1 CD_CD_BARCODE FROM CD_ITEM_UNIT_MEMBER WHERE DrugCode = G.DrugCode)
) AS Barcode,
G.GoodsName,
G.Saleprice
FROM CD_GOODS G
WHERE G.GoodsName LIKE :query
OR G.Barcode LIKE :query
OR G.DrugCode IN (SELECT DrugCode FROM CD_ITEM_UNIT_MEMBER WHERE CD_CD_BARCODE LIKE :query)
ORDER BY
CASE WHEN G.Barcode = :exact THEN 0 ELSE 1 END,
G.GoodsName
""")
rows = mssql_session.execute(sql, {
'query': f'%{query}%',
'exact': query
}).fetchall()
drugs = []
for row in rows:
drugs.append({
'drug_code': row.DrugCode,
'barcode': row.Barcode,
'goods_name': row.GoodsName,
'sale_price': float(row.Saleprice or 0)
})
return jsonify({
'success': True,
'count': len(drugs),
'drugs': drugs
})
except Exception as e:
logging.error(f"MSSQL 약품 검색 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
# ============================================================
# 제품 이미지 관리 (yakkok 크롤러)
# ============================================================
@app.route('/admin/product-images')
def admin_product_images():
"""제품 이미지 관리 어드민 페이지"""
return render_template('admin_product_images.html')
@app.route('/api/admin/product-images')
def api_product_images_list():
"""제품 이미지 목록 조회"""
import sqlite3
try:
db_path = os.path.join(os.path.dirname(__file__), 'db', 'product_images.db')
conn = sqlite3.connect(db_path)
conn.row_factory = sqlite3.Row
cursor = conn.cursor()
status_filter = request.args.get('status', '')
search = request.args.get('search', '')
limit = int(request.args.get('limit', 50))
offset = int(request.args.get('offset', 0))
where_clauses = []
params = []
if status_filter:
# "failed" 필터는 failed + no_result 둘 다 포함 (통계와 일치시키기 위해)
if status_filter == 'failed':
where_clauses.append("status IN ('failed', 'no_result')")
else:
where_clauses.append("status = ?")
params.append(status_filter)
if search:
where_clauses.append("(product_name LIKE ? OR barcode LIKE ?)")
params.extend([f'%{search}%', f'%{search}%'])
where_sql = " WHERE " + " AND ".join(where_clauses) if where_clauses else ""
# 총 개수
cursor.execute(f"SELECT COUNT(*) FROM product_images {where_sql}", params)
total = cursor.fetchone()[0]
# 목록 조회
cursor.execute(f"""
SELECT id, barcode, drug_code, product_name, thumbnail_base64,
image_url, status, created_at, error_message
FROM product_images
{where_sql}
ORDER BY created_at DESC
LIMIT ? OFFSET ?
""", params + [limit, offset])
items = [dict(row) for row in cursor.fetchall()]
conn.close()
return jsonify({
'success': True,
'total': total,
'items': items
})
except Exception as e:
logging.error(f"제품 이미지 목록 조회 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/admin/product-images/')
def api_product_image_detail(barcode):
"""제품 이미지 상세 조회 (원본 base64 포함)"""
import sqlite3
try:
db_path = os.path.join(os.path.dirname(__file__), 'db', 'product_images.db')
conn = sqlite3.connect(db_path)
conn.row_factory = sqlite3.Row
cursor = conn.cursor()
cursor.execute("SELECT * FROM product_images WHERE barcode = ?", (barcode,))
row = cursor.fetchone()
conn.close()
if row:
return jsonify({'success': True, 'image': dict(row)})
else:
return jsonify({'success': False, 'error': '이미지 없음'}), 404
except Exception as e:
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/admin/product-images/crawl-today', methods=['POST'])
def api_crawl_today():
"""특정 날짜 판매 제품 크롤링 (date 파라미터 없으면 오늘)"""
try:
from utils.yakkok_crawler import crawl_sales_by_date
data = request.get_json() or {}
date_str = data.get('date') # YYYY-MM-DD 형식
result = crawl_sales_by_date(date_str, headless=True)
return jsonify({'success': True, 'result': result, 'date': date_str or 'today'})
except Exception as e:
logging.error(f"크롤링 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/admin/product-images/crawl', methods=['POST'])
def api_crawl_products():
"""특정 제품 크롤링"""
try:
from utils.yakkok_crawler import crawl_products
data = request.get_json()
products = data.get('products', []) # [(barcode, drug_code, product_name), ...]
if not products:
return jsonify({'success': False, 'error': '제품 목록 필요'}), 400
result = crawl_products(products, headless=True)
return jsonify({'success': True, 'result': result})
except Exception as e:
logging.error(f"크롤링 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/admin/product-images/', methods=['DELETE'])
def api_delete_product_image(barcode):
"""제품 이미지 삭제"""
import sqlite3
try:
db_path = os.path.join(os.path.dirname(__file__), 'db', 'product_images.db')
conn = sqlite3.connect(db_path)
cursor = conn.cursor()
cursor.execute("DELETE FROM product_images WHERE barcode = ?", (barcode,))
conn.commit()
conn.close()
return jsonify({'success': True})
except Exception as e:
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/admin/product-images//replace', methods=['POST'])
def api_replace_product_image(barcode):
"""이미지 URL로 교체"""
import sqlite3
import requests
import base64
from PIL import Image
from io import BytesIO
try:
data = request.get_json()
image_url = data.get('image_url', '').strip()
if not image_url:
return jsonify({'success': False, 'error': 'URL 필요'}), 400
# 다양한 User-Agent와 헤더로 시도
headers_list = [
{
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
'Accept': 'image/avif,image/webp,image/apng,image/svg+xml,image/*,*/*;q=0.8',
'Accept-Language': 'ko-KR,ko;q=0.9,en-US;q=0.8,en;q=0.7',
'Referer': 'https://www.google.com/',
},
{
'User-Agent': 'Mozilla/5.0 (iPhone; CPU iPhone OS 16_0 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.0 Mobile/15E148 Safari/604.1',
'Accept': 'image/*,*/*;q=0.8',
},
{
'User-Agent': 'Googlebot-Image/1.0',
}
]
response = None
for headers in headers_list:
try:
response = requests.get(image_url, headers=headers, timeout=15, allow_redirects=True)
if response.status_code == 200 and len(response.content) > 1000:
break
except:
continue
if not response or response.status_code != 200:
return jsonify({'success': False, 'error': f'이미지 다운로드 실패 (상태: {response.status_code if response else "연결실패"})'}), 400
# PIL로 이미지 처리
try:
img = Image.open(BytesIO(response.content))
# RGBA -> RGB 변환
if img.mode == 'RGBA':
bg = Image.new('RGB', img.size, (255, 255, 255))
bg.paste(img, mask=img.split()[3])
img = bg
elif img.mode != 'RGB':
img = img.convert('RGB')
# 리사이즈 (최대 500px)
max_size = 500
if max(img.size) > max_size:
ratio = max_size / max(img.size)
new_size = tuple(int(dim * ratio) for dim in img.size)
img = img.resize(new_size, Image.LANCZOS)
# base64 변환
buffer = BytesIO()
img.save(buffer, format='JPEG', quality=85)
image_base64 = base64.b64encode(buffer.getvalue()).decode('utf-8')
# 썸네일 생성
thumb_size = 100
ratio = thumb_size / max(img.size)
thumb_img = img.resize(tuple(int(dim * ratio) for dim in img.size), Image.LANCZOS)
thumb_buffer = BytesIO()
thumb_img.save(thumb_buffer, format='JPEG', quality=80)
thumbnail_base64 = base64.b64encode(thumb_buffer.getvalue()).decode('utf-8')
except Exception as e:
return jsonify({'success': False, 'error': f'이미지 처리 실패: {str(e)}'}), 400
# SQLite 업데이트 (기존 값 유지)
db_path = os.path.join(os.path.dirname(__file__), 'db', 'product_images.db')
conn = sqlite3.connect(db_path)
cursor = conn.cursor()
# 기존 레코드 확인
cursor.execute("SELECT product_name, drug_code FROM product_images WHERE barcode = ?", (barcode,))
existing = cursor.fetchone()
if existing:
# 기존 레코드 있으면 이미지만 업데이트 (product_name, drug_code 유지)
cursor.execute("""
UPDATE product_images
SET image_base64 = ?, thumbnail_base64 = ?, image_url = ?,
status = 'manual', error_message = NULL, updated_at = datetime('now')
WHERE barcode = ?
""", (image_base64, thumbnail_base64, image_url, barcode))
else:
# 레코드가 없으면 새로 생성 (product_name은 barcode로 임시 저장)
cursor.execute("""
INSERT INTO product_images (barcode, image_base64, thumbnail_base64, image_url, status, product_name)
VALUES (?, ?, ?, ?, 'manual', ?)
""", (barcode, image_base64, thumbnail_base64, image_url, barcode))
conn.commit()
conn.close()
return jsonify({'success': True, 'message': '이미지 교체 완료'})
except Exception as e:
logging.error(f"이미지 교체 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/admin/product-images//upload', methods=['POST'])
def api_upload_product_image(barcode):
"""카메라 촬영 이미지 업로드 (base64 -> 1:1 크롭 -> 800x800 리사이즈)"""
import sqlite3
import base64
from PIL import Image
from io import BytesIO
try:
data = request.get_json() or {}
image_data = (data.get('image_data') or '').strip()
product_name = data.get('product_name') or barcode
if not image_data:
return jsonify({'success': False, 'error': '이미지 데이터 필요'}), 400
# data:image/...;base64, 접두사 제거
if ',' in image_data:
image_data = image_data.split(',', 1)[1]
try:
# base64 디코딩
image_bytes = base64.b64decode(image_data)
img = Image.open(BytesIO(image_bytes))
# RGBA -> RGB 변환 (PNG 등 투명 배경 처리)
if img.mode == 'RGBA':
bg = Image.new('RGB', img.size, (255, 255, 255))
bg.paste(img, mask=img.split()[3])
img = bg
elif img.mode != 'RGB':
img = img.convert('RGB')
# 1:1 중앙 크롭 (정사각형)
width, height = img.size
min_dim = min(width, height)
left = (width - min_dim) // 2
top = (height - min_dim) // 2
right = left + min_dim
bottom = top + min_dim
img = img.crop((left, top, right, bottom))
# 800x800 리사이즈
target_size = 800
img = img.resize((target_size, target_size), Image.LANCZOS)
# base64 변환 (원본)
buffer = BytesIO()
img.save(buffer, format='JPEG', quality=90)
image_base64 = base64.b64encode(buffer.getvalue()).decode('utf-8')
# 썸네일 생성 (200x200)
thumb_size = 200
thumb_img = img.resize((thumb_size, thumb_size), Image.LANCZOS)
thumb_buffer = BytesIO()
thumb_img.save(thumb_buffer, format='JPEG', quality=85)
thumbnail_base64 = base64.b64encode(thumb_buffer.getvalue()).decode('utf-8')
except Exception as e:
return jsonify({'success': False, 'error': f'이미지 처리 실패: {str(e)}'}), 400
# SQLite 저장
db_path = os.path.join(os.path.dirname(__file__), 'db', 'product_images.db')
conn = sqlite3.connect(db_path)
cursor = conn.cursor()
# 기존 레코드 확인
cursor.execute("SELECT product_name, drug_code FROM product_images WHERE barcode = ?", (barcode,))
existing = cursor.fetchone()
if existing:
# 기존 레코드 있으면 이미지만 업데이트
cursor.execute("""
UPDATE product_images
SET image_base64 = ?, thumbnail_base64 = ?, image_url = NULL,
status = 'manual', error_message = NULL, updated_at = datetime('now')
WHERE barcode = ?
""", (image_base64, thumbnail_base64, barcode))
else:
# 새 레코드 생성
cursor.execute("""
INSERT INTO product_images (barcode, product_name, image_base64, thumbnail_base64, status)
VALUES (?, ?, ?, ?, 'manual')
""", (barcode, product_name, image_base64, thumbnail_base64))
conn.commit()
conn.close()
return jsonify({'success': True, 'message': '촬영 이미지 저장 완료'})
except Exception as e:
logging.error(f"이미지 업로드 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/admin/product-images/stats')
def api_product_images_stats():
"""이미지 통계"""
import sqlite3
try:
db_path = os.path.join(os.path.dirname(__file__), 'db', 'product_images.db')
conn = sqlite3.connect(db_path)
cursor = conn.cursor()
cursor.execute("""
SELECT status, COUNT(*) as count
FROM product_images
GROUP BY status
""")
stats = {row[0]: row[1] for row in cursor.fetchall()}
cursor.execute("SELECT COUNT(*) FROM product_images")
total = cursor.fetchone()[0]
conn.close()
return jsonify({
'success': True,
'total': total,
'stats': stats
})
except Exception as e:
return jsonify({'success': False, 'error': str(e)}), 500
# ═══════════════════════════════════════════════════════════════════════════════
# 동물약 정보 인쇄 API (ESC/POS 80mm)
# ═══════════════════════════════════════════════════════════════════════════════
@app.route('/api/animal-drug-info/print', methods=['POST'])
def api_animal_drug_info_print():
"""동물약 정보 인쇄 (APC로 PostgreSQL 조회 후 ESC/POS 출력)"""
try:
import re
from html import unescape
data = request.get_json()
apc = data.get('apc', '')
product_name = data.get('product_name', '')
if not apc:
return jsonify({'success': False, 'error': 'APC 코드가 필요합니다'}), 400
# PostgreSQL에서 약품 정보 조회
try:
from sqlalchemy import create_engine
pg_engine = create_engine(
'postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master',
connect_args={'connect_timeout': 5}
)
with pg_engine.connect() as conn:
result = conn.execute(text("""
SELECT
a.product_name,
a.company_name,
a.main_ingredient,
a.efficacy_effect,
a.dosage_instructions,
a.precautions,
a.weight_min_kg,
a.weight_max_kg,
a.pet_size_label,
a.component_code,
g.component_name_ko,
g.dosing_interval_adult,
g.dosing_interval_high_risk,
g.dosing_interval_puppy,
g.companion_drugs
FROM apc a
LEFT JOIN component_guide g ON a.component_code = g.component_code
WHERE a.apc = :apc
LIMIT 1
"""), {'apc': apc})
row = result.fetchone()
# 포장단위 APC → 대표 APC 폴백
if not row and len(apc) == 13 and apc.startswith('023'):
item_prefix = apc[:8]
result = conn.execute(text("""
SELECT
a.product_name, a.company_name, a.main_ingredient,
a.efficacy_effect, a.dosage_instructions, a.precautions,
a.weight_min_kg, a.weight_max_kg, a.pet_size_label,
a.component_code,
g.component_name_ko, g.dosing_interval_adult,
g.dosing_interval_high_risk, g.dosing_interval_puppy,
g.companion_drugs
FROM apc a
LEFT JOIN component_guide g ON a.component_code = g.component_code
WHERE a.apc LIKE :prefix
ORDER BY LENGTH(a.apc)
LIMIT 1
"""), {'prefix': f'{item_prefix}%'})
row = result.fetchone()
if not row:
return jsonify({'success': False, 'error': f'APC {apc} 정보를 찾을 수 없습니다'}), 404
except Exception as e:
logging.error(f"PostgreSQL 조회 오류: {e}")
return jsonify({'success': False, 'error': f'DB 조회 오류: {str(e)}'}), 500
# HTML 태그 제거 함수
def strip_html(html_text):
if not html_text:
return ''
# HTML 태그 제거 (줄바꿈 보존)
# ,
, 등을 줄바꿈으로 변환
text = re.sub(r'
|
|', '\n', html_text)
text = re.sub(r'<[^>]+>', '', text)
# HTML 엔티티 변환
text = unescape(text)
# 표 형식 감지 (─ 또는 ====/---- 포함)
if '─' in text or '━' in text or ('======' in text and '------' in text):
# 표 형식: 각 줄의 앞뒤 공백만 정리, 줄 내 공백은 유지
lines = text.split('\n')
cleaned = []
for line in lines:
line = line.strip()
if line:
cleaned.append(line)
return '\n'.join(cleaned)
else:
# 일반 텍스트: 연속 공백/줄바꿈 정리
text = re.sub(r'\s+', ' ', text).strip()
return text
# 항목별 줄바꿈 처리 (가. 나. 다. 라. / 1) 2) 3) 등)
def format_for_print(text):
if not text:
return ''
# 가. 나. 다. 라. 마. 바. 사. 아. 자. 앞에 줄바꿈
text = re.sub(r'\s*(가|나|다|라|마|바|사|아|자)\.\s*', r'\n\1. ', text)
# 1) 2) 3) 등 앞에 줄바꿈 (단, 문장 시작이 아닌 경우)
text = re.sub(r'\s+(\d+)\)\s*', r'\n \1) ', text)
# 첫 줄바꿈 제거
text = text.strip()
return text
# 텍스트를 줄 단위로 분리 (80mm ≈ 42자)
def wrap_text(text, width=40):
lines = []
words = text.split()
current_line = ""
for word in words:
if len(current_line) + len(word) + 1 <= width:
current_line += (" " if current_line else "") + word
else:
if current_line:
lines.append(current_line)
current_line = word
if current_line:
lines.append(current_line)
return lines
# 데이터 파싱
pg_product_name = row.product_name or product_name
company = row.company_name or ''
ingredient = row.main_ingredient or ''
efficacy = strip_html(row.efficacy_effect)
dosage = strip_html(row.dosage_instructions)
precautions = strip_html(row.precautions)
# 80mm 프린터 = 48자 기준
LINE = "=" * 48
THIN = "-" * 48
# 텍스트 메시지 생성 (48자 기준 중앙정렬)
message = f"""
{LINE}
[ 애니팜 투약지도서 ]
{LINE}
{pg_product_name}
"""
if company:
message += f"제조: {company}\n"
if ingredient and ingredient != 'NaN':
message += f"""
{THIN}
▶ 주성분
"""
for line in wrap_text(ingredient, 46):
message += f" {line}\n"
if efficacy:
message += f"""
{THIN}
▶ 효능효과
"""
formatted_efficacy = format_for_print(efficacy)
for para in formatted_efficacy.split('\n'):
for line in wrap_text(para.strip(), 44):
message += f" {line}\n"
if dosage:
message += f"""
{THIN}
▶ 용법용량
"""
# 표 형식 감지
has_box_table = '─' in dosage or '━' in dosage
has_ascii_table = '======' in dosage and '------' in dosage
if has_box_table:
# ─ 표: 줄바꿈 유지
for line in dosage.split('\n'):
line = line.strip()
if line:
message += f"{line}\n"
elif has_ascii_table:
# ===/--- 표: 구분선 제거, 데이터만 정리
for line in dosage.split('\n'):
stripped = line.strip()
if not stripped:
continue
if stripped.startswith('===') or stripped.startswith('---'):
message += f" {'─' * 44}\n"
else:
# 공백 정렬된 열을 적절히 정리
message += f" {stripped}\n"
else:
formatted_dosage = format_for_print(dosage)
for para in formatted_dosage.split('\n'):
for line in wrap_text(para.strip(), 44):
message += f" {line}\n"
# 투약 주기 (component_guide JOIN)
if row.dosing_interval_adult:
message += f"""
{THIN}
★ 투약 주기 ★
"""
message += f" 일반: {row.dosing_interval_adult}\n"
if row.dosing_interval_high_risk:
message += f" 고위험: {row.dosing_interval_high_risk}\n"
if row.dosing_interval_puppy:
message += f" 새끼: {row.dosing_interval_puppy}\n"
# 병용약 권장 (component_guide JOIN)
if row.companion_drugs:
message += f"""
{THIN}
★ 함께 투약 권장 ★
"""
for line in wrap_text(row.companion_drugs, 44):
message += f" {line}\n"
# 주의사항 (마지막)
if precautions:
message += f"""
{THIN}
▶ 주의사항
"""
formatted_precautions = format_for_print(precautions)
for para in formatted_precautions.split('\n'):
for line in wrap_text(para.strip(), 44):
message += f" {line}\n"
message += f"""
{LINE}
청 춘 약 국
Tel: 033-481-5222
"""
# 네트워크 프린터로 인쇄 (pos_printer 사용)
from pos_printer import print_text
result = print_text(message, cut=True)
if result:
return jsonify({'success': True, 'message': '동물약 안내서 인쇄 완료'})
else:
return jsonify({'success': False, 'error': '프린터 출력 실패'}), 500
except Exception as e:
logging.error(f"동물약 정보 인쇄 API 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
# ═══════════════════════════════════════════════════════════════════════════════
# 동물약 정보 인쇄 API (GET - URL로 바로 인쇄) - 외부 CORS 지원
# ═══════════════════════════════════════════════════════════════════════════════
@app.route('/api/animal-drug-print/')
def api_animal_drug_print_by_code(code):
"""
동물약 안내서 바로 인쇄 (GET 방식)
GET /api/animal-drug-print/0231093520106 (APC 코드)
GET /api/animal-drug-print/8809720800035 (바코드)
- CORS 지원 (외부에서 호출 가능)
- APC 또는 바코드로 조회 후 ESC/POS 프린터로 인쇄
"""
try:
import re
from html import unescape
apc = None
product_name = None
# 코드 타입 판별 (APC vs 바코드)
if code.startswith('023'):
# APC 코드
apc = code
else:
# 바코드로 가정 → APC 조회
try:
conn_str = (
'DRIVER={ODBC Driver 17 for SQL Server};'
'SERVER=192.168.0.4\\PM2014;'
'DATABASE=PM_DRUG;'
'UID=sa;'
'PWD=tmddls214!%(;'
'TrustServerCertificate=yes'
)
import pyodbc
conn = pyodbc.connect(conn_str, timeout=10)
cursor = conn.cursor()
# 바코드 → APC 조회
cursor.execute("""
SELECT TOP 1
U.CD_CD_BARCODE as apc,
G.GoodsName as product_name
FROM CD_ITEM_UNIT_MEMBER U
JOIN CD_GOODS G ON U.DRUGCODE = G.DrugCode
WHERE U.CD_CD_BARCODE = ? OR G.BARCODE = ?
""", (code, code))
row = cursor.fetchone()
conn.close()
if row and row.apc:
apc = row.apc
product_name = row.product_name
else:
response = jsonify({'success': False, 'error': f'바코드 {code}에 해당하는 APC를 찾을 수 없습니다'})
response.headers['Access-Control-Allow-Origin'] = '*'
return response, 404
except Exception as e:
logging.error(f"바코드→APC 조회 오류: {e}")
response = jsonify({'success': False, 'error': f'바코드 조회 오류: {str(e)}'})
response.headers['Access-Control-Allow-Origin'] = '*'
return response, 500
if not apc:
response = jsonify({'success': False, 'error': 'APC 코드가 필요합니다'})
response.headers['Access-Control-Allow-Origin'] = '*'
return response, 400
# PostgreSQL에서 약품 정보 조회
try:
from sqlalchemy import create_engine
pg_engine = create_engine(
'postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master',
connect_args={'connect_timeout': 5}
)
with pg_engine.connect() as conn:
result = conn.execute(text("""
SELECT
a.product_name,
a.company_name,
a.main_ingredient,
a.efficacy_effect,
a.dosage_instructions,
a.precautions,
a.weight_min_kg,
a.weight_max_kg,
a.pet_size_label,
a.component_code,
g.component_name_ko,
g.dosing_interval_adult,
g.dosing_interval_high_risk,
g.dosing_interval_puppy,
g.companion_drugs
FROM apc a
LEFT JOIN component_guide g ON a.component_code = g.component_code
WHERE a.apc = :apc
LIMIT 1
"""), {'apc': apc})
row = result.fetchone()
# 포장단위 APC → 대표 APC 폴백
if not row and len(apc) == 13 and apc.startswith('023'):
item_prefix = apc[:8]
result = conn.execute(text("""
SELECT
a.product_name, a.company_name, a.main_ingredient,
a.efficacy_effect, a.dosage_instructions, a.precautions,
a.weight_min_kg, a.weight_max_kg, a.pet_size_label,
a.component_code,
g.component_name_ko, g.dosing_interval_adult,
g.dosing_interval_high_risk, g.dosing_interval_puppy,
g.companion_drugs
FROM apc a
LEFT JOIN component_guide g ON a.component_code = g.component_code
WHERE a.apc LIKE :prefix
ORDER BY LENGTH(a.apc)
LIMIT 1
"""), {'prefix': f'{item_prefix}%'})
row = result.fetchone()
if not row:
response = jsonify({'success': False, 'error': f'APC {apc} 정보를 찾을 수 없습니다'})
response.headers['Access-Control-Allow-Origin'] = '*'
return response, 404
except Exception as e:
logging.error(f"PostgreSQL 조회 오류: {e}")
response = jsonify({'success': False, 'error': f'DB 조회 오류: {str(e)}'})
response.headers['Access-Control-Allow-Origin'] = '*'
return response, 500
# HTML 태그 제거 함수
def strip_html(html_text):
if not html_text:
return ''
text = re.sub(r'
|
|', '\n', html_text)
text = re.sub(r'<[^>]+>', '', text)
text = unescape(text)
if '─' in text or '━' in text or ('======' in text and '------' in text):
lines = text.split('\n')
cleaned = [line.strip() for line in lines if line.strip()]
return '\n'.join(cleaned)
else:
text = re.sub(r'\s+', ' ', text).strip()
return text
# 항목별 줄바꿈 처리
def format_for_print(text):
if not text:
return ''
text = re.sub(r'\s*(가|나|다|라|마|바|사|아|자)\.\s*', r'\n\1. ', text)
text = re.sub(r'\s+(\d+)\)\s*', r'\n \1) ', text)
return text.strip()
# 텍스트 줄바꿈
def wrap_text(text, width=40):
lines = []
words = text.split()
current_line = ""
for word in words:
if len(current_line) + len(word) + 1 <= width:
current_line += (" " if current_line else "") + word
else:
if current_line:
lines.append(current_line)
current_line = word
if current_line:
lines.append(current_line)
return lines
# 데이터 파싱
pg_product_name = row.product_name or product_name or ''
company = row.company_name or ''
ingredient = row.main_ingredient or ''
efficacy = strip_html(row.efficacy_effect)
dosage = strip_html(row.dosage_instructions)
precautions = strip_html(row.precautions)
# 80mm 프린터 = 48자 기준
LINE = "=" * 48
THIN = "-" * 48
message = f"""
{LINE}
[ 애니팜 투약지도서 ]
{LINE}
{pg_product_name}
"""
if company:
message += f"제조: {company}\n"
if ingredient and ingredient != 'NaN':
message += f"""
{THIN}
▶ 주성분
"""
for line in wrap_text(ingredient, 46):
message += f" {line}\n"
if efficacy:
message += f"""
{THIN}
▶ 효능효과
"""
formatted_efficacy = format_for_print(efficacy)
for para in formatted_efficacy.split('\n'):
for line in wrap_text(para.strip(), 44):
message += f" {line}\n"
if dosage:
message += f"""
{THIN}
▶ 용법용량
"""
has_box_table = '─' in dosage or '━' in dosage
has_ascii_table = '======' in dosage and '------' in dosage
if has_box_table:
for line in dosage.split('\n'):
line = line.strip()
if line:
message += f"{line}\n"
elif has_ascii_table:
for line in dosage.split('\n'):
stripped = line.strip()
if not stripped:
continue
if stripped.startswith('===') or stripped.startswith('---'):
message += f" {'─' * 44}\n"
else:
message += f" {stripped}\n"
else:
formatted_dosage = format_for_print(dosage)
for para in formatted_dosage.split('\n'):
for line in wrap_text(para.strip(), 44):
message += f" {line}\n"
# 투약 주기
if row.dosing_interval_adult:
message += f"""
{THIN}
★ 투약 주기 ★
"""
message += f" 일반: {row.dosing_interval_adult}\n"
if row.dosing_interval_high_risk:
message += f" 고위험: {row.dosing_interval_high_risk}\n"
if row.dosing_interval_puppy:
message += f" 새끼: {row.dosing_interval_puppy}\n"
# 병용약 권장
if row.companion_drugs:
message += f"""
{THIN}
★ 함께 투약 권장 ★
"""
for line in wrap_text(row.companion_drugs, 44):
message += f" {line}\n"
# 주의사항
if precautions:
message += f"""
{THIN}
▶ 주의사항
"""
formatted_precautions = format_for_print(precautions)
for para in formatted_precautions.split('\n'):
for line in wrap_text(para.strip(), 44):
message += f" {line}\n"
message += f"""
{LINE}
청 춘 약 국
Tel: 033-481-5222
"""
# 네트워크 프린터로 인쇄
from pos_printer import print_text
result = print_text(message, cut=True)
if result:
response = jsonify({
'success': True,
'message': '동물약 안내서 인쇄 완료',
'apc': apc,
'product_name': pg_product_name
})
response.headers['Access-Control-Allow-Origin'] = '*'
return response
else:
response = jsonify({'success': False, 'error': '프린터 출력 실패'})
response.headers['Access-Control-Allow-Origin'] = '*'
return response, 500
except Exception as e:
logging.error(f"동물약 GET 인쇄 API 오류: {e}")
import traceback
traceback.print_exc()
response = jsonify({'success': False, 'error': str(e)})
response.headers['Access-Control-Allow-Origin'] = '*'
return response, 500
@app.route('/api/animal-drug-print/', methods=['OPTIONS'])
def api_animal_drug_print_options(code):
"""CORS preflight 요청 처리"""
response = make_response()
response.headers['Access-Control-Allow-Origin'] = '*'
response.headers['Access-Control-Allow-Methods'] = 'GET, OPTIONS'
response.headers['Access-Control-Allow-Headers'] = 'Content-Type'
return response
@app.route('/api/animal-drug-info/preview', methods=['POST'])
def api_animal_drug_info_preview():
"""동물약 정보 미리보기 (텍스트 반환)"""
try:
import re
from html import unescape
data = request.get_json()
apc = data.get('apc', '')
if not apc:
return jsonify({'success': False, 'error': 'APC 코드가 필요합니다'}), 400
# PostgreSQL에서 약품 정보 조회
try:
from sqlalchemy import create_engine
pg_engine = create_engine(
'postgresql://admin:trajet6640@192.168.0.87:5432/apdb_master',
connect_args={'connect_timeout': 5}
)
with pg_engine.connect() as conn:
result = conn.execute(text("""
SELECT
a.product_name,
a.company_name,
a.main_ingredient,
a.efficacy_effect,
a.dosage_instructions,
a.precautions,
a.component_code,
g.component_name_ko,
g.dosing_interval_adult,
g.dosing_interval_high_risk,
g.dosing_interval_puppy,
g.companion_drugs,
g.contraindication as guide_contraindication
FROM apc a
LEFT JOIN component_guide g ON a.component_code = g.component_code
WHERE a.apc = :apc
LIMIT 1
"""), {'apc': apc})
row = result.fetchone()
# 포장단위 APC → 대표 APC 폴백 (앞 8자리 품목코드로 검색)
if not row and len(apc) == 13 and apc.startswith('023'):
item_prefix = apc[:8]
result = conn.execute(text("""
SELECT
a.product_name, a.company_name, a.main_ingredient,
a.efficacy_effect, a.dosage_instructions, a.precautions,
a.component_code,
g.component_name_ko, g.dosing_interval_adult,
g.dosing_interval_high_risk, g.dosing_interval_puppy,
g.companion_drugs,
g.contraindication as guide_contraindication
FROM apc a
LEFT JOIN component_guide g ON a.component_code = g.component_code
WHERE a.apc LIKE :prefix
ORDER BY LENGTH(a.apc)
LIMIT 1
"""), {'prefix': f'{item_prefix}%'})
row = result.fetchone()
if not row:
return jsonify({'success': False, 'error': f'APC {apc} 정보 없음'}), 404
except Exception as e:
return jsonify({'success': False, 'error': f'DB 오류: {str(e)}'}), 500
# HTML 태그 제거 (표 형식은 줄바꿈 유지)
def strip_html(html_text):
if not html_text:
return ''
# , → 줄바꿈
text = re.sub(r'
|', '\n', html_text)
text = re.sub(r'<[^>]+>', '', text)
text = unescape(text)
# 표 형식 감지 (─ 또는 ====/---- 포함)
if '─' in text or '━' in text or ('======' in text and '------' in text):
lines = [l.strip() for l in text.split('\n') if l.strip()]
return '\n'.join(lines)
else:
text = re.sub(r'\s+', ' ', text).strip()
return text
# 항목별 줄바꿈 처리 (가. 나. 다. 라. / 1) 2) 3) 등)
def format_items(text):
if not text:
return ''
# 가. 나. 다. 라. 마. 바. 사. 아. 자. 앞에 줄바꿈
text = re.sub(r'\s*(가|나|다|라|마|바|사|아|자)\.\s*', r'\n\1. ', text)
# 1) 2) 3) 등 앞에 줄바꿈
text = re.sub(r'\s+(\d+)\)\s*', r'\n \1) ', text)
return text.strip()
# 표 형식을 HTML 테이블로 변환
def format_table_html(text):
if not text:
return ''
has_box_line = '─' in text or '━' in text
has_ascii_table = '======' in text and '------' in text
# 표가 없으면 일반 처리
if not has_box_line and not has_ascii_table:
return format_items(text)
# ── (A) 안텔민 형식: ─ 구분 + "체중(kg)" 헤더 + "투여정수" 데이터 (2행 표) ──
if has_box_line:
lines = [l.strip() for l in text.split('\n') if l.strip() and '─' not in l and '━' not in l]
header_line = None
data_line = None
other_lines = []
for line in lines:
if '체중' in line and 'kg' in line.lower():
header_line = line
elif '투여' in line and ('정수' in line or '정' in line):
data_line = line
else:
other_lines.append(line)
result = '\n'.join(other_lines)
if header_line and data_line:
headers = re.split(r'\s{2,}', header_line)
values = re.split(r'\s{2,}', data_line)
html = ''
html += ''
for h in headers:
html += f'| {h} | '
html += '
'
html += ''
for v in values:
html += f'| {v} | '
html += '
'
html += '
'
result = result + '\n' + html if result else html
return result
# ── (B) 넥스가드 형식: ====/---- 구분 + 다행 테이블 ──
if has_ascii_table:
lines = text.split('\n')
before_table = []
table_rows = []
after_table = []
header_cols = []
in_table = False
table_ended = False
for line in lines:
stripped = line.strip()
if not stripped:
continue
is_eq_sep = stripped.startswith('===')
is_dash_sep = stripped.startswith('---')
if is_eq_sep:
if in_table:
# 두 번째 === → 테이블 끝
table_ended = True
else:
# 첫 번째 === → 테이블 시작
in_table = True
continue
if is_dash_sep:
# --- 는 행 구분선 → 건너뛰기
continue
if not in_table:
before_table.append(stripped)
continue
if table_ended:
after_table.append(stripped)
continue
# ㅣ 또는 | 구분자 감지
if 'ㅣ' in stripped or '|' in stripped:
sep = 'ㅣ' if 'ㅣ' in stripped else '|'
cells = [c.strip() for c in stripped.split(sep) if c.strip()]
else:
cells = re.split(r'\s{2,}', stripped)
# 테이블 헤더 행 감지
if '체중' in stripped and not header_cols:
header_cols = cells
continue
# 데이터 행
if len(cells) >= 2:
table_rows.append(cells)
result_parts = []
if before_table:
result_parts.append(format_items('\n'.join(before_table)))
if header_cols and table_rows:
html = ''
html += ''
for h in header_cols:
html += f'| {h} | '
html += '
'
for i, row in enumerate(table_rows):
bg = '#fff' if i % 2 == 0 else '#f8fafc'
html += f''
for cell in row:
html += f'| {cell} | '
# 셀 수가 헤더보다 적으면 빈 셀 채우기
for _ in range(len(header_cols) - len(row)):
html += ' | '
html += '
'
html += '
'
result_parts.append(html)
if after_table:
result_parts.append(format_items('\n'.join(after_table)))
return '\n'.join(result_parts)
return format_items(text)
def format_dosage(raw_html):
"""dosage_instructions 처리: 원본 HTML table 보존 or 텍스트 표 변환"""
if not raw_html:
return ''
# 원본에 태그가 있으면 → HTML 테이블 보존 + 스타일 적용
if ']*class="_table_wrap', raw_html, maxsplit=1)[0] if '_table_wrap' in raw_html else raw_html.split('(.*)', raw_html, re.DOTALL)
after_html = after_match.group(1) if after_match else ''
# 앞부분 텍스트 처리
before_text = strip_html(before_html)
before_text = format_items(before_text) if before_text else ''
# 테이블 추출 및 스타일 적용
table_match = re.search(r'', raw_html, re.DOTALL)
if table_match:
table_inner = table_match.group(1)
# caption, hidden 요소 제거
table_inner = re.sub(r'.*?', '', table_inner, flags=re.DOTALL)
# 기존 style 제거하고 새 스타일 적용
table_inner = re.sub(r'| ]*>', ' | ', table_inner)
table_inner = re.sub(r' | ]*>', ' | ', table_inner)
# 첫 번째 tr에 헤더 배경색 적용
table_inner = re.sub(r' | ]*>', '
', table_inner)
table_inner = table_inner.replace('
', '
', 1)
# p 태그 제거 (셀 내부)
table_inner = re.sub(r']*>', '', table_inner)
table_inner = re.sub(r'
', '
', table_inner)
# tbody 유지
styled_table = f''
else:
styled_table = ''
# 뒷부분 텍스트 처리
after_text = strip_html(after_html)
after_text = format_items(after_text) if after_text else ''
parts = [p for p in [before_text, styled_table, after_text] if p]
return '\n'.join(parts)
# 원본에 없으면 기존 로직
return format_table_html(strip_html(raw_html))
# 투약주기 조합
dosing_interval = None
if row.dosing_interval_adult:
parts = []
parts.append(f"일반: {row.dosing_interval_adult}")
if row.dosing_interval_high_risk:
parts.append(f"고위험: {row.dosing_interval_high_risk}")
if row.dosing_interval_puppy:
parts.append(f"새끼: {row.dosing_interval_puppy}")
dosing_interval = '\n'.join(parts)
return jsonify({
'success': True,
'data': {
'product_name': row.product_name,
'company_name': row.company_name,
'main_ingredient': row.main_ingredient if row.main_ingredient != 'NaN' else None,
'efficacy_effect': format_items(strip_html(row.efficacy_effect)),
'dosage_instructions': format_dosage(row.dosage_instructions),
'dosage_has_table': any(c in (row.dosage_instructions or '') for c in ('─', '━', '======', '')
def api_paai_log_detail(log_id):
"""PAAI 로그 상세 조회"""
from db.paai_logger import get_log_detail
try:
log = get_log_detail(log_id)
if log:
return jsonify({'success': True, 'log': log})
else:
return jsonify({'success': False, 'error': '로그를 찾을 수 없습니다.'}), 404
except Exception as e:
return jsonify({'success': False, 'error': str(e)}), 500
# ══════════════════════════════════════════════════════════════════
# 모바일 이미지 업로드 세션 (QR 기반)
# ══════════════════════════════════════════════════════════════════
import uuid
from datetime import datetime, timedelta
# 메모리 기반 세션 저장소 (서버 재시작 시 초기화됨)
upload_sessions = {}
def cleanup_expired_sessions():
"""만료된 세션 정리"""
now = datetime.now()
expired = [sid for sid, s in upload_sessions.items() if s['expires_at'] < now]
for sid in expired:
del upload_sessions[sid]
@app.route('/api/upload-session', methods=['POST'])
def api_create_upload_session():
"""업로드 세션 생성 (QR용)"""
cleanup_expired_sessions()
data = request.get_json() or {}
barcode = data.get('barcode', '')
product_name = data.get('product_name', barcode) # 없으면 바코드 사용
if not barcode:
return jsonify({'success': False, 'error': '바코드가 필요합니다'}), 400
session_id = str(uuid.uuid4())[:12] # 짧은 ID
expires_at = datetime.now() + timedelta(minutes=10)
upload_sessions[session_id] = {
'barcode': barcode,
'product_name': product_name,
'created_at': datetime.now(),
'expires_at': expires_at,
'status': 'pending', # pending → uploaded
'image_base64': None
}
# QR URL 생성
qr_url = f"https://mile.0bin.in/upload/{session_id}?barcode={barcode}"
return jsonify({
'success': True,
'session_id': session_id,
'qr_url': qr_url,
'expires_in': 600
})
@app.route('/api/upload-session/')
def api_get_upload_session(session_id):
"""업로드 세션 상태 확인 (폴링용)"""
cleanup_expired_sessions()
session = upload_sessions.get(session_id)
if not session:
return jsonify({'status': 'expired'})
result = {'status': session['status']}
if session['status'] == 'uploaded' and session['image_base64']:
result['image_base64'] = session['image_base64']
return jsonify(result)
@app.route('/api/upload-session//image', methods=['POST'])
def api_upload_session_image(session_id):
"""모바일에서 이미지 업로드"""
session = upload_sessions.get(session_id)
if not session:
return jsonify({'success': False, 'error': '세션이 만료되었습니다'}), 404
if session['expires_at'] < datetime.now():
del upload_sessions[session_id]
return jsonify({'success': False, 'error': '세션이 만료되었습니다'}), 404
# 이미지 데이터 받기
import base64
from PIL import Image
from io import BytesIO
if 'image' not in request.files:
# base64로 받은 경우
data = request.get_json() or {}
image_data_raw = data.get('image_base64')
if not image_data_raw:
return jsonify({'success': False, 'error': '이미지가 필요합니다'}), 400
else:
# 파일로 받은 경우
file = request.files['image']
image_data_raw = base64.b64encode(file.read()).decode('utf-8')
barcode = session['barcode']
product_name = session.get('product_name', barcode)
try:
# base64 디코딩 & PIL 이미지 처리
image_bytes = base64.b64decode(image_data_raw)
img = Image.open(BytesIO(image_bytes))
# RGBA -> RGB 변환
if img.mode == 'RGBA':
bg = Image.new('RGB', img.size, (255, 255, 255))
bg.paste(img, mask=img.split()[3])
img = bg
elif img.mode != 'RGB':
img = img.convert('RGB')
# 1:1 중앙 크롭
width, height = img.size
min_dim = min(width, height)
left = (width - min_dim) // 2
top = (height - min_dim) // 2
img = img.crop((left, top, left + min_dim, top + min_dim))
# 800x800 리사이즈
img = img.resize((800, 800), Image.LANCZOS)
# base64 변환 (원본)
buffer = BytesIO()
img.save(buffer, format='JPEG', quality=90)
image_base64 = base64.b64encode(buffer.getvalue()).decode('utf-8')
# 썸네일 생성 (200x200)
thumb_img = img.resize((200, 200), Image.LANCZOS)
thumb_buffer = BytesIO()
thumb_img.save(thumb_buffer, format='JPEG', quality=85)
thumbnail_base64 = base64.b64encode(thumb_buffer.getvalue()).decode('utf-8')
except Exception as e:
return jsonify({'success': False, 'error': f'이미지 처리 실패: {str(e)}'}), 400
# SQLite 저장
try:
img_db_path = Path(__file__).parent / 'db' / 'product_images.db'
conn = sqlite3.connect(str(img_db_path))
cursor = conn.cursor()
# 기존 이미지 확인
cursor.execute('SELECT id FROM product_images WHERE barcode = ?', (barcode,))
existing = cursor.fetchone()
if existing:
cursor.execute('''
UPDATE product_images
SET image_base64 = ?, thumbnail_base64 = ?, status = 'manual', updated_at = datetime('now')
WHERE barcode = ?
''', (image_base64, thumbnail_base64, barcode))
else:
cursor.execute('''
INSERT INTO product_images (barcode, product_name, image_base64, thumbnail_base64, status)
VALUES (?, ?, ?, ?, 'manual')
''', (barcode, product_name, image_base64, thumbnail_base64))
conn.commit()
conn.close()
# 세션 상태 업데이트
session['status'] = 'uploaded'
session['image_base64'] = thumbnail_base64 # 폴링용으로 썸네일 사용
return jsonify({'success': True, 'message': '이미지가 저장되었습니다'})
except Exception as e:
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/upload/')
def mobile_upload_page(session_id):
"""모바일 업로드 페이지"""
session = upload_sessions.get(session_id)
barcode = request.args.get('barcode', '')
if not session:
return render_template_string('''
세션 만료
⏰ 세션이 만료되었습니다.
PC에서 다시 QR코드를 생성해주세요.
''')
return render_template_string('''
제품 이미지 촬영
''', session_id=session_id, barcode=barcode)
# ============================================
# 동물약 챗봇 로그 API
# ============================================
@app.route('/admin/animal-chat-logs')
def admin_animal_chat_logs():
"""동물약 챗봇 로그 페이지"""
return render_template('admin_animal_chat_logs.html')
@app.route('/api/animal-chat-logs')
def api_animal_chat_logs():
"""동물약 챗봇 로그 조회 API"""
from utils.animal_chat_logger import get_logs, get_stats
date_from = request.args.get('date_from')
date_to = request.args.get('date_to')
error_only = request.args.get('error_only') == 'true'
limit = int(request.args.get('limit', 100))
offset = int(request.args.get('offset', 0))
logs = get_logs(
limit=limit,
offset=offset,
date_from=date_from,
date_to=date_to,
error_only=error_only
)
stats = get_stats(date_from=date_from, date_to=date_to)
return jsonify({
'success': True,
'logs': logs,
'stats': stats
})
# ═══════════════════════════════════════════════════════════════════════════════
# 기간별 사용약품 조회 API
# ═══════════════════════════════════════════════════════════════════════════════
@app.route('/api/drug-usage')
def api_drug_usage():
"""
기간별 사용약품 조회 API
파라미터:
- start_date: 시작일 (YYYYMMDD, 필수)
- end_date: 종료일 (YYYYMMDD, 필수)
- date_type: dispense (조제일, 기본) / expiry (소진일)
- drug_code: 특정 약품코드 필터
- search: 약품명 검색
- limit: 결과 제한 (기본 100)
"""
try:
# 파라미터 추출
start_date = request.args.get('start_date')
end_date = request.args.get('end_date')
date_type = request.args.get('date_type', 'dispense') # dispense or expiry
drug_code = request.args.get('drug_code')
search = request.args.get('search')
limit = int(request.args.get('limit', 100))
# 필수 파라미터 확인
if not start_date or not end_date:
return jsonify({
'success': False,
'error': 'start_date와 end_date는 필수입니다 (YYYYMMDD 형식)'
}), 400
# 날짜 형식 검증 (8자리 숫자)
if not (start_date.isdigit() and len(start_date) == 8):
return jsonify({'success': False, 'error': 'start_date는 YYYYMMDD 형식이어야 합니다'}), 400
if not (end_date.isdigit() and len(end_date) == 8):
return jsonify({'success': False, 'error': 'end_date는 YYYYMMDD 형식이어야 합니다'}), 400
pres_session = db_manager.get_session('PM_PRES')
# ─────────────────────────────────────────
# 조제 데이터 쿼리
# ─────────────────────────────────────────
if date_type == 'expiry':
# 소진일(조제만료일) 기준 필터
rx_query = """
SELECT
sp.DrugCode,
g.GoodsName,
m.PRINT_TYPE as category,
COUNT(*) as rx_count,
SUM(sp.QUAN * sp.QUAN_TIME * sp.Days) as total_qty
FROM PS_sub_pharm sp
INNER JOIN PS_main pm ON pm.PreSerial = sp.PreSerial
INNER JOIN PM_DRUG.dbo.CD_GOODS g ON sp.DrugCode = g.DrugCode
LEFT JOIN PM_DRUG.dbo.CD_MC m ON sp.DrugCode = m.DRUGCODE
WHERE sp.PS_Type != '9'
AND DATEADD(day, sp.Days, CONVERT(date, pm.Indate, 112))
BETWEEN CONVERT(date, :start_date, 112) AND CONVERT(date, :end_date, 112)
"""
else:
# 조제일 기준 필터 (기본)
rx_query = """
SELECT
sp.DrugCode,
g.GoodsName,
m.PRINT_TYPE as category,
COUNT(*) as rx_count,
SUM(sp.QUAN * sp.QUAN_TIME * sp.Days) as total_qty
FROM PS_sub_pharm sp
INNER JOIN PS_main pm ON pm.PreSerial = sp.PreSerial
INNER JOIN PM_DRUG.dbo.CD_GOODS g ON sp.DrugCode = g.DrugCode
LEFT JOIN PM_DRUG.dbo.CD_MC m ON sp.DrugCode = m.DRUGCODE
WHERE pm.Indate BETWEEN :start_date AND :end_date
AND sp.PS_Type != '9'
"""
# 약품코드 필터 추가
if drug_code:
rx_query += " AND sp.DrugCode = :drug_code"
# 약품명 검색 필터 추가
if search:
rx_query += " AND g.GoodsName LIKE :search"
rx_query += " GROUP BY sp.DrugCode, g.GoodsName, m.PRINT_TYPE"
rx_query += " ORDER BY rx_count DESC"
# 파라미터 바인딩
params = {'start_date': start_date, 'end_date': end_date}
if drug_code:
params['drug_code'] = drug_code
if search:
params['search'] = f'%{search}%'
rx_result = pres_session.execute(text(rx_query), params)
rx_data = {}
for row in rx_result:
rx_data[row.DrugCode] = {
'drug_code': row.DrugCode,
'goods_name': row.GoodsName,
'category': row.category or '',
'rx_count': row.rx_count,
'rx_total_qty': float(row.total_qty) if row.total_qty else 0
}
# ─────────────────────────────────────────
# 입고 데이터 쿼리 (PM_DRUG에서 조회)
# ─────────────────────────────────────────
drug_session = db_manager.get_session('PM_DRUG')
import_query = """
SELECT
ws.DrugCode,
COUNT(*) as import_count,
SUM(ws.WH_NM_item_a) as total_qty
FROM WH_sub ws
INNER JOIN WH_main wm ON ws.WH_SR_stock = wm.WH_NO_stock
"""
# 약품명 검색 시 CD_GOODS 조인 추가
if search:
import_query += " INNER JOIN CD_GOODS g ON ws.DrugCode = g.DrugCode"
import_query += " WHERE wm.WH_DT_appl BETWEEN :start_date AND :end_date"
# 약품코드 필터 추가
if drug_code:
import_query += " AND ws.DrugCode = :drug_code"
# 약품명 검색 필터 추가
if search:
import_query += " AND g.GoodsName LIKE :search"
import_query += " GROUP BY ws.DrugCode"
import_params = {'start_date': start_date, 'end_date': end_date}
if drug_code:
import_params['drug_code'] = drug_code
if search:
import_params['search'] = f'%{search}%'
import_result = drug_session.execute(text(import_query), import_params)
import_data = {}
for row in import_result:
import_data[row.DrugCode] = {
'import_count': row.import_count,
'import_total_qty': float(row.total_qty) if row.total_qty else 0
}
# ─────────────────────────────────────────
# 결과 병합 (drug_code 기준)
# ─────────────────────────────────────────
all_drug_codes = set(rx_data.keys()) | set(import_data.keys())
items = []
for code in all_drug_codes:
rx_info = rx_data.get(code, {})
import_info = import_data.get(code, {})
import_qty = import_info.get('import_total_qty', 0)
rx_qty = rx_info.get('rx_total_qty', 0)
item = {
'drug_code': code,
'goods_name': rx_info.get('goods_name', ''),
'category': rx_info.get('category', ''),
'rx_count': rx_info.get('rx_count', 0),
'rx_total_qty': rx_qty,
'import_count': import_info.get('import_count', 0),
'import_total_qty': import_qty,
'current_stock': 0 # IM_total에서 나중에 채움
}
# 약품명이 없으면 (입고만 있는 경우) PM_DRUG에서 조회
if not item['goods_name'] and code in import_data:
name_result = drug_session.execute(
text("SELECT GoodsName FROM CD_GOODS WHERE DrugCode = :code"),
{'code': code}
).fetchone()
if name_result:
item['goods_name'] = name_result.GoodsName
items.append(item)
# IM_total에서 현재 재고 조회
if items:
drug_codes = [item['drug_code'] for item in items]
placeholders = ','.join([f"'{c}'" for c in drug_codes])
stock_result = drug_session.execute(text(f"""
SELECT DrugCode, IM_QT_sale_debit
FROM IM_total
WHERE DrugCode IN ({placeholders})
"""))
stock_map = {row.DrugCode: float(row.IM_QT_sale_debit) if row.IM_QT_sale_debit else 0
for row in stock_result}
for item in items:
item['current_stock'] = stock_map.get(item['drug_code'], 0)
# 조제 건수 기준 정렬
items.sort(key=lambda x: x['rx_count'], reverse=True)
# limit 적용
items = items[:limit]
return jsonify({
'success': True,
'period': {
'start': start_date,
'end': end_date,
'date_type': date_type
},
'total_count': len(items),
'items': items
})
except Exception as e:
logging.error(f"drug-usage API 오류: {e}")
import traceback
traceback.print_exc()
return jsonify({
'success': False,
'error': str(e)
}), 500
@app.route('/api/drug-usage//imports')
def api_drug_usage_imports(drug_code):
"""약품별 입고 상세 API"""
start_date = request.args.get('start_date', '')
end_date = request.args.get('end_date', '')
if not start_date or not end_date:
return jsonify({'success': False, 'error': 'start_date, end_date 필수'}), 400
try:
drug_session = db_manager.get_session('PM_DRUG')
result = drug_session.execute(text("""
SELECT
wm.WH_DT_appl as import_date,
ws.WH_NM_item_a as quantity,
ws.WH_MY_unit_a as unit_price,
c.CD_NM_custom as supplier_name,
c.CD_NM_charge1 as contact_person
FROM WH_sub ws
INNER JOIN WH_main wm ON ws.WH_SR_stock = wm.WH_NO_stock
LEFT JOIN PM_BASE.dbo.CD_custom c ON wm.WH_CD_cust_sale = c.CD_CD_custom
WHERE ws.DrugCode = :drug_code
AND wm.WH_DT_appl BETWEEN :start_date AND :end_date
ORDER BY wm.WH_DT_appl DESC
"""), {'drug_code': drug_code, 'start_date': start_date, 'end_date': end_date})
items = []
for row in result:
qty = float(row.quantity) if row.quantity else 0
price = float(row.unit_price) if row.unit_price else 0
items.append({
'import_date': row.import_date or '',
'quantity': qty,
'unit_price': price,
'amount': qty * price,
'supplier_name': row.supplier_name or '',
'person_name': row.contact_person or ''
})
return jsonify({
'success': True,
'drug_code': drug_code,
'total_count': len(items),
'items': items
})
except Exception as e:
logging.error(f"drug-usage imports API 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/drug-usage//prescriptions')
def api_drug_usage_prescriptions(drug_code):
"""약품별 조제(매출) 상세 API"""
from utils.drug_unit import get_drug_unit
start_date = request.args.get('start_date', '')
end_date = request.args.get('end_date', '')
if not start_date or not end_date:
return jsonify({'success': False, 'error': 'start_date, end_date 필수'}), 400
try:
pres_session = db_manager.get_session('PM_PRES')
drug_session = db_manager.get_session('PM_DRUG')
# 약품 정보 조회 (단위 판별용)
drug_info = drug_session.execute(text("""
SELECT GoodsName, SUNG_CODE FROM CD_GOODS WHERE DrugCode = :drug_code
"""), {'drug_code': drug_code}).fetchone()
goods_name = drug_info.GoodsName if drug_info else ''
sung_code = drug_info.SUNG_CODE if drug_info else ''
unit = get_drug_unit(goods_name, sung_code)
result = pres_session.execute(text("""
SELECT
pm.Indate as rx_date,
CONVERT(varchar, DATEADD(day, sp.Days, CONVERT(date, pm.Indate, 112)), 112) as expiry_date,
pm.Paname as patient_name,
pm.OrderName as institution_name,
sp.QUAN as dosage,
sp.QUAN_TIME as frequency,
sp.Days as days
FROM PS_sub_pharm sp
INNER JOIN PS_main pm ON pm.PreSerial = sp.PreSerial
WHERE sp.DrugCode = :drug_code
AND pm.Indate BETWEEN :start_date AND :end_date
AND (sp.PS_Type IS NULL OR sp.PS_Type != '9')
ORDER BY pm.Indate DESC
"""), {'drug_code': drug_code, 'start_date': start_date, 'end_date': end_date})
items = []
seen_patients = set()
recent_patients = [] # 최근 조제받은 환자 (중복 제외, 최대 3명)
total_usage = 0 # 총 사용량
for row in result:
dosage = float(row.dosage) if row.dosage else 0
freq = float(row.frequency) if row.frequency else 0
days = int(row.days) if row.days else 0
patient = row.patient_name or ''
qty = dosage * freq * days
total_usage += qty
# 중복 제외 환자 목록 (최근순, 최대 3명)
if patient and patient not in seen_patients:
seen_patients.add(patient)
if len(recent_patients) < 3:
recent_patients.append(patient)
items.append({
'rx_date': row.rx_date or '',
'expiry_date': row.expiry_date or '',
'patient_name': patient,
'institution_name': row.institution_name or '',
'dosage': dosage,
'frequency': freq,
'days': days,
'total_qty': qty
})
return jsonify({
'success': True,
'drug_code': drug_code,
'total_count': len(items),
'unique_patients': len(seen_patients),
'recent_patients': recent_patients,
'total_usage': total_usage,
'unit': unit,
'items': items
})
except Exception as e:
logging.error(f"drug-usage prescriptions API 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
# ═══════════════════════════════════════════════════════════════════════════
# 재고 시계열 분석 API
# ═══════════════════════════════════════════════════════════════════════════
@app.route('/admin/stock-analytics')
def admin_stock_analytics():
"""재고 시계열 분석 페이지"""
return render_template('admin_stock_analytics.html')
@app.route('/api/stock-analytics/daily-trend')
def api_stock_daily_trend():
"""
일별 입출고 추이 API
GET /api/stock-analytics/daily-trend?start_date=2026-01-01&end_date=2026-03-13&drug_code=A123456789
"""
conn = None
try:
start_date = request.args.get('start_date', '')
end_date = request.args.get('end_date', '')
drug_code = request.args.get('drug_code', '').strip()
# 날짜 형식 변환 (YYYY-MM-DD -> YYYYMMDD)
start_date_fmt = start_date.replace('-', '') if start_date else (datetime.now() - timedelta(days=30)).strftime('%Y%m%d')
end_date_fmt = end_date.replace('-', '') if end_date else datetime.now().strftime('%Y%m%d')
# 새로운 pyodbc 연결 (동시 요청 충돌 방지)
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()
# 특정 약품 또는 전체 일별 입출고 집계
# credit=출고, debit=입고 (약국 재고 기준)
if drug_code:
# 특정 약품
cursor.execute("""
SELECT
IM_DT_appl as date,
SUM(ISNULL(IM_QT_sale_debit, 0)) as inbound,
SUM(ISNULL(IM_QT_sale_credit, 0)) as outbound
FROM IM_date_total
WHERE IM_DT_appl >= ?
AND IM_DT_appl <= ?
AND DrugCode = ?
GROUP BY IM_DT_appl
ORDER BY IM_DT_appl
""", (start_date_fmt, end_date_fmt, drug_code))
else:
# 전체 합계
cursor.execute("""
SELECT
IM_DT_appl as date,
SUM(ISNULL(IM_QT_sale_debit, 0)) as inbound,
SUM(ISNULL(IM_QT_sale_credit, 0)) as outbound
FROM IM_date_total
WHERE IM_DT_appl >= ?
AND IM_DT_appl <= ?
GROUP BY IM_DT_appl
ORDER BY IM_DT_appl
""", (start_date_fmt, end_date_fmt))
rows = cursor.fetchall()
items = []
total_inbound = 0
total_outbound = 0
for row in rows:
date_str = str(row.date) if row.date else ''
# YYYYMMDD -> YYYY-MM-DD
formatted_date = f"{date_str[:4]}-{date_str[4:6]}-{date_str[6:8]}" if len(date_str) == 8 else date_str
inbound = int(row.inbound or 0)
outbound = int(row.outbound or 0)
items.append({
'date': formatted_date,
'inbound': inbound,
'outbound': outbound
})
total_inbound += inbound
total_outbound += outbound
conn.close()
return jsonify({
'success': True,
'drug_code': drug_code if drug_code else 'ALL',
'items': items,
'stats': {
'total_inbound': total_inbound,
'total_outbound': total_outbound,
'net_change': total_inbound - total_outbound,
'data_count': len(items)
}
})
except Exception as e:
if conn:
conn.close()
logging.error(f"daily-trend API 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/stock-analytics/top-usage')
def api_stock_top_usage():
"""
기간별 사용량 TOP N API
GET /api/stock-analytics/top-usage?start_date=2026-01-01&end_date=2026-03-13&limit=10
"""
try:
start_date = request.args.get('start_date', '')
end_date = request.args.get('end_date', '')
limit = int(request.args.get('limit', '10'))
# 날짜 형식 변환
start_date_fmt = start_date.replace('-', '') if start_date else (datetime.now() - timedelta(days=30)).strftime('%Y%m%d')
end_date_fmt = end_date.replace('-', '') if end_date else datetime.now().strftime('%Y%m%d')
drug_session = db_manager.get_session('PM_DRUG')
# 출고량 기준 TOP N (credit=출고, debit=입고)
query = text("""
SELECT TOP(:limit)
D.DrugCode as drug_code,
G.GoodsName as product_name,
G.SplName as supplier,
SUM(ISNULL(D.IM_QT_sale_credit, 0)) as total_outbound,
SUM(ISNULL(D.IM_QT_sale_debit, 0)) as total_inbound,
ISNULL(IT.IM_QT_sale_debit, 0) as current_stock
FROM IM_date_total D
LEFT JOIN CD_GOODS G ON D.DrugCode = G.DrugCode
LEFT JOIN IM_total IT ON D.DrugCode = IT.DrugCode
WHERE D.IM_DT_appl >= :start_date
AND D.IM_DT_appl <= :end_date
GROUP BY D.DrugCode, G.GoodsName, G.SplName, IT.IM_QT_sale_debit
ORDER BY SUM(ISNULL(D.IM_QT_sale_credit, 0)) DESC
""")
rows = drug_session.execute(query, {
'start_date': start_date_fmt,
'end_date': end_date_fmt,
'limit': limit
}).fetchall()
items = []
for row in rows:
items.append({
'drug_code': row.drug_code or '',
'product_name': row.product_name or '알 수 없음',
'supplier': row.supplier or '',
'total_outbound': int(row.total_outbound or 0),
'total_inbound': int(row.total_inbound or 0),
'current_stock': int(row.current_stock or 0)
})
return jsonify({
'success': True,
'items': items,
'limit': limit
})
except Exception as e:
logging.error(f"top-usage API 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/stock-analytics/stock-level')
def api_stock_level():
"""
특정 약품 재고 변화 (누적) API
GET /api/stock-analytics/stock-level?drug_code=A123456789&start_date=2026-01-01&end_date=2026-03-13
"""
conn = None
try:
drug_code = request.args.get('drug_code', '').strip()
start_date = request.args.get('start_date', '')
end_date = request.args.get('end_date', '')
if not drug_code:
return jsonify({'success': False, 'error': 'drug_code 파라미터 필요'}), 400
# 날짜 형식 변환
start_date_fmt = start_date.replace('-', '') if start_date else (datetime.now() - timedelta(days=30)).strftime('%Y%m%d')
end_date_fmt = end_date.replace('-', '') if end_date else datetime.now().strftime('%Y%m%d')
# 새로운 pyodbc 연결 (동시 요청 충돌 방지)
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()
# 현재 재고
cursor.execute("""
SELECT
IT.IM_QT_sale_debit as current_stock,
G.GoodsName as product_name,
G.SplName as supplier
FROM IM_total IT
LEFT JOIN CD_GOODS G ON IT.DrugCode = G.DrugCode
WHERE IT.DrugCode = ?
""", (drug_code,))
stock_row = cursor.fetchone()
current_stock = int(stock_row.current_stock or 0) if stock_row else 0
product_name = stock_row.product_name if stock_row else drug_code
supplier = stock_row.supplier if stock_row else ''
# 일별 입출고 데이터 (역순으로 누적 계산)
# credit=출고, debit=입고 (약국 재고 기준)
cursor.execute("""
SELECT
IM_DT_appl as date,
SUM(ISNULL(IM_QT_sale_debit, 0)) as inbound,
SUM(ISNULL(IM_QT_sale_credit, 0)) as outbound
FROM IM_date_total
WHERE DrugCode = ?
AND IM_DT_appl >= ?
AND IM_DT_appl <= ?
GROUP BY IM_DT_appl
ORDER BY IM_DT_appl DESC
""", (drug_code, start_date_fmt, end_date_fmt))
rows = cursor.fetchall()
# 역순으로 누적 재고 계산 (현재 → 과거)
items = []
running_stock = current_stock
for row in rows:
date_str = str(row.date) if row.date else ''
formatted_date = f"{date_str[:4]}-{date_str[4:6]}-{date_str[6:8]}" if len(date_str) == 8 else date_str
inbound = int(row.inbound or 0)
outbound = int(row.outbound or 0)
items.append({
'date': formatted_date,
'stock': running_stock,
'inbound': inbound,
'outbound': outbound
})
# 과거로 갈수록: 재고 = 재고 - 입고 + 출고
running_stock = running_stock - inbound + outbound
# 시간순 정렬 (과거 → 현재)
items.reverse()
conn.close()
return jsonify({
'success': True,
'drug_code': drug_code,
'product_name': product_name,
'supplier': supplier,
'current_stock': current_stock,
'items': items
})
except Exception as e:
if conn:
conn.close()
logging.error(f"stock-level API 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/stock-analytics/stock-with-usage')
def api_stock_with_usage():
"""
재고 변화 + 처방 기반 사용량 통합 API (이중 Y축 그래프용)
GET /api/stock-analytics/stock-with-usage?drug_code=A123456789&start_date=2026-01-01&end_date=2026-03-13&period=daily|weekly|monthly
반환:
- items: [{ date, stock, inbound, outbound, rx_usage }]
- rx_usage: PS_sub_pharm 기반 처방 사용량
"""
conn = None
conn_pres = None
try:
drug_code = request.args.get('drug_code', '').strip()
start_date = request.args.get('start_date', '')
end_date = request.args.get('end_date', '')
period = request.args.get('period', 'daily') # daily, weekly, monthly
if not drug_code:
return jsonify({'success': False, 'error': 'drug_code 파라미터 필요'}), 400
# 날짜 형식 변환
start_date_fmt = start_date.replace('-', '') if start_date else (datetime.now() - timedelta(days=90)).strftime('%Y%m%d')
end_date_fmt = end_date.replace('-', '') if end_date else datetime.now().strftime('%Y%m%d')
import pyodbc
conn_str_drug = (
'DRIVER={ODBC Driver 17 for SQL Server};'
'SERVER=192.168.0.4\\PM2014;'
'DATABASE=PM_DRUG;'
'UID=sa;'
'PWD=tmddls214!%(;'
'TrustServerCertificate=yes'
)
conn_str_pres = (
'DRIVER={ODBC Driver 17 for SQL Server};'
'SERVER=192.168.0.4\\PM2014;'
'DATABASE=PM_PRES;'
'UID=sa;'
'PWD=tmddls214!%(;'
'TrustServerCertificate=yes'
)
conn = pyodbc.connect(conn_str_drug, timeout=10)
conn_pres = pyodbc.connect(conn_str_pres, timeout=10)
cursor = conn.cursor()
cursor_pres = conn_pres.cursor()
# 1. 현재 재고 및 약품 정보
cursor.execute("""
SELECT
IT.IM_QT_sale_debit as current_stock,
G.GoodsName as product_name,
G.SplName as supplier
FROM IM_total IT
LEFT JOIN CD_GOODS G ON IT.DrugCode = G.DrugCode
WHERE IT.DrugCode = ?
""", (drug_code,))
stock_row = cursor.fetchone()
current_stock = int(stock_row.current_stock or 0) if stock_row else 0
product_name = stock_row.product_name if stock_row else drug_code
supplier = stock_row.supplier if stock_row else ''
# 2. 그룹핑 기준 설정
if period == 'monthly':
date_group_expr = "LEFT(IM_DT_appl, 6)" # YYYYMM
rx_date_group_expr = "LEFT(INSUDATETIME, 6)"
elif period == 'weekly':
# 주차 계산: YYYYWW
date_group_expr = "CAST(YEAR(CONVERT(DATE, IM_DT_appl, 112)) AS VARCHAR) + RIGHT('0' + CAST(DATEPART(WEEK, CONVERT(DATE, IM_DT_appl, 112)) AS VARCHAR), 2)"
rx_date_group_expr = "CAST(YEAR(CONVERT(DATE, INSUDATETIME, 112)) AS VARCHAR) + RIGHT('0' + CAST(DATEPART(WEEK, CONVERT(DATE, INSUDATETIME, 112)) AS VARCHAR), 2)"
else: # daily
date_group_expr = "IM_DT_appl"
rx_date_group_expr = "LEFT(INSUDATETIME, 8)"
# 3. 재고 입출고 데이터 (IM_date_total)
cursor.execute(f"""
SELECT
{date_group_expr} as date_group,
SUM(ISNULL(IM_QT_sale_debit, 0)) as inbound,
SUM(ISNULL(IM_QT_sale_credit, 0)) as outbound
FROM IM_date_total
WHERE DrugCode = ?
AND IM_DT_appl >= ?
AND IM_DT_appl <= ?
GROUP BY {date_group_expr}
ORDER BY {date_group_expr} DESC
""", (drug_code, start_date_fmt, end_date_fmt))
stock_rows = cursor.fetchall()
# 4. 처방 기반 사용량 (PS_sub_pharm)
# 컬럼명: PreSerial, Indate, DrugCode, QUAN, Days
if period == 'monthly':
rx_date_group_expr = "LEFT(CONVERT(VARCHAR, PSP.Indate, 112), 6)"
elif period == 'weekly':
rx_date_group_expr = "CAST(YEAR(PSP.Indate) AS VARCHAR) + RIGHT('0' + CAST(DATEPART(WEEK, PSP.Indate) AS VARCHAR), 2)"
else: # daily
rx_date_group_expr = "CONVERT(VARCHAR, PSP.Indate, 112)"
cursor_pres.execute(f"""
SELECT
{rx_date_group_expr} as date_group,
SUM(ISNULL(PSP.QUAN * PSP.QUAN_TIME * PSP.Days, 0)) as rx_usage,
COUNT(DISTINCT PSP.PreSerial) as rx_count
FROM PS_sub_pharm PSP
WHERE PSP.DrugCode = ?
AND PSP.Indate >= ?
AND PSP.Indate <= ?
GROUP BY {rx_date_group_expr}
ORDER BY {rx_date_group_expr}
""", (drug_code, start_date_fmt, end_date_fmt))
rx_rows = cursor_pres.fetchall()
rx_data = {str(row.date_group): {'rx_usage': int(row.rx_usage or 0), 'rx_count': int(row.rx_count or 0)} for row in rx_rows}
# 5. 역순 누적 재고 계산 + 처방 사용량 병합
items = []
running_stock = current_stock
for row in stock_rows:
date_group = str(row.date_group) if row.date_group else ''
# 날짜 포맷팅
if period == 'monthly' and len(date_group) == 6:
formatted_date = f"{date_group[:4]}-{date_group[4:6]}"
elif period == 'weekly':
formatted_date = date_group # YYYYWW
else: # daily
formatted_date = f"{date_group[:4]}-{date_group[4:6]}-{date_group[6:8]}" if len(date_group) == 8 else date_group
inbound = int(row.inbound or 0)
outbound = int(row.outbound or 0)
rx_info = rx_data.get(date_group, {'rx_usage': 0, 'rx_count': 0})
items.append({
'date': formatted_date,
'date_group': date_group,
'stock': running_stock,
'inbound': inbound,
'outbound': outbound,
'rx_usage': rx_info['rx_usage'],
'rx_count': rx_info['rx_count']
})
running_stock = running_stock - inbound + outbound
# 시간순 정렬
items.reverse()
# 6. 통계 계산
total_rx_usage = sum(item['rx_usage'] for item in items)
total_rx_count = sum(item['rx_count'] for item in items)
avg_rx_usage = total_rx_usage / len(items) if items else 0
conn.close()
conn_pres.close()
return jsonify({
'success': True,
'drug_code': drug_code,
'product_name': product_name,
'supplier': supplier,
'current_stock': current_stock,
'period': period,
'items': items,
'stats': {
'total_rx_usage': total_rx_usage,
'total_rx_count': total_rx_count,
'avg_rx_usage': round(avg_rx_usage, 1)
}
})
except Exception as e:
if conn:
conn.close()
if conn_pres:
conn_pres.close()
logging.error(f"stock-with-usage API 오류: {e}")
import traceback
traceback.print_exc()
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/stock-analytics/search-drugs')
def api_search_drugs():
"""
약품 검색 API (재고 분석용)
GET /api/stock-analytics/search-drugs?q=타이레놀&limit=20
"""
try:
query = request.args.get('q', '').strip()
limit = int(request.args.get('limit', '20'))
if not query or len(query) < 2:
return jsonify({'success': True, 'items': []})
drug_session = db_manager.get_session('PM_DRUG')
search_query = text("""
SELECT TOP(:limit)
G.DrugCode as drug_code,
G.GoodsName as product_name,
G.SplName as supplier,
ISNULL(IT.IM_QT_sale_debit, 0) as current_stock
FROM CD_GOODS G
LEFT JOIN IM_total IT ON G.DrugCode = IT.DrugCode
WHERE G.GoodsName LIKE :keyword
OR G.DrugCode LIKE :keyword
ORDER BY
CASE WHEN G.GoodsName LIKE :exact_keyword THEN 0 ELSE 1 END,
IT.IM_QT_sale_debit DESC
""")
rows = drug_session.execute(search_query, {
'keyword': f'%{query}%',
'exact_keyword': f'{query}%',
'limit': limit
}).fetchall()
items = []
for row in rows:
items.append({
'drug_code': row.drug_code or '',
'product_name': row.product_name or '',
'supplier': row.supplier or '',
'current_stock': int(row.current_stock or 0)
})
return jsonify({
'success': True,
'items': items
})
except Exception as e:
logging.error(f"search-drugs API 오류: {e}")
return jsonify({'success': False, 'error': str(e)}), 500
@app.route('/api/stock-analytics/forecast')
def api_stock_forecast():
"""
재고 소진 예측 API
GET /api/stock-analytics/forecast?drug_code=A123456789
계산 로직:
1. 최근 30일 출고량 조회 (IM_date_total에서 credit 합계)
2. 평균 일일 출고량 = 총 출고량 / 실제 데이터 일수
3. 예상 소진일 = 현재재고 / 평균출고량
4. 소진 예상일 = 오늘 + 예상소진일
5. 발주 권장일 = 소진예상일 - 3일 (리드타임)
6. confidence: 데이터 많으면 high, 적으면 low
7. trend: 최근 7일 vs 이전 23일 비교 → increasing/stable/decreasing
"""
conn = None
try:
drug_code = request.args.get('drug_code', '').strip()
if not drug_code:
return jsonify({'success': False, 'error': '약품코드가 필요합니다'}), 400
# pyodbc 직접 연결 (기존 daily-trend API와 동일 방식)
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()
# 1. 약품 정보 및 현재 재고 조회
cursor.execute("""
SELECT
G.GoodsName as product_name,
ISNULL(IT.IM_QT_sale_debit, 0) as current_stock
FROM CD_GOODS G
LEFT JOIN IM_total IT ON G.DrugCode = IT.DrugCode
WHERE G.DrugCode = ?
""", (drug_code,))
info_row = cursor.fetchone()
if not info_row:
conn.close()
return jsonify({'success': False, 'error': '해당 약품을 찾을 수 없습니다'}), 404
product_name = info_row.product_name or ''
current_stock = int(info_row.current_stock or 0)
# 2. 최근 30일 출고 데이터 조회
today = datetime.now(KST).date()
thirty_days_ago = today - timedelta(days=30)
cursor.execute("""
SELECT
IM_DT_appl as date,
ISNULL(IM_QT_sale_credit, 0) as outbound_qty
FROM IM_date_total
WHERE DrugCode = ?
AND IM_DT_appl >= ?
AND IM_DT_appl <= ?
ORDER BY IM_DT_appl
""", (drug_code, thirty_days_ago.strftime('%Y%m%d'), today.strftime('%Y%m%d')))
rows = cursor.fetchall()
conn.close()
# 3. 데이터 처리
if not rows:
# 출고 데이터 없음
return jsonify({
'success': True,
'drug_code': drug_code,
'product_name': product_name,
'current_stock': current_stock,
'avg_daily_outbound': 0,
'days_until_empty': None,
'estimated_empty_date': None,
'recommended_order_date': None,
'confidence': 'none',
'trend': 'unknown',
'message': '최근 30일 출고 데이터가 없습니다'
})
# 일별 출고량 집계
daily_outbound = {}
for row in rows:
date_str = str(row.date)
daily_outbound[date_str] = int(row.outbound_qty or 0)
# 총 출고량 및 평균 계산
total_outbound = sum(daily_outbound.values())
data_days = len(daily_outbound)
avg_daily_outbound = total_outbound / data_days if data_days > 0 else 0
# 4. 예상 소진일 계산
if avg_daily_outbound > 0:
days_until_empty = int(current_stock / avg_daily_outbound)
estimated_empty_date = today + timedelta(days=days_until_empty)
# 발주 권장일 (소진 3일 전, 리드타임 고려)
recommended_order_date = estimated_empty_date - timedelta(days=3)
if recommended_order_date < today:
recommended_order_date = today # 이미 지난 경우 오늘로
else:
days_until_empty = None
estimated_empty_date = None
recommended_order_date = None
# 5. 신뢰도 계산 (데이터 일수 기준)
if data_days >= 20:
confidence = 'high'
elif data_days >= 10:
confidence = 'medium'
else:
confidence = 'low'
# 6. 추세 분석 (최근 7일 vs 이전 23일)
recent_7_days = []
earlier_days = []
sorted_dates = sorted(daily_outbound.keys(), reverse=True)
for i, date_key in enumerate(sorted_dates):
if i < 7:
recent_7_days.append(daily_outbound[date_key])
else:
earlier_days.append(daily_outbound[date_key])
if len(recent_7_days) >= 3 and len(earlier_days) >= 5:
recent_avg = sum(recent_7_days) / len(recent_7_days)
earlier_avg = sum(earlier_days) / len(earlier_days)
if earlier_avg > 0:
change_ratio = (recent_avg - earlier_avg) / earlier_avg
if change_ratio > 0.15: # 15% 이상 증가
trend = 'increasing'
elif change_ratio < -0.15: # 15% 이상 감소
trend = 'decreasing'
else:
trend = 'stable'
else:
trend = 'stable' if recent_avg == 0 else 'increasing'
else:
trend = 'unknown'
return jsonify({
'success': True,
'drug_code': drug_code,
'product_name': product_name,
'current_stock': current_stock,
'avg_daily_outbound': round(avg_daily_outbound, 2),
'days_until_empty': days_until_empty,
'estimated_empty_date': estimated_empty_date.strftime('%Y-%m-%d') if estimated_empty_date else None,
'recommended_order_date': recommended_order_date.strftime('%Y-%m-%d') if recommended_order_date else None,
'confidence': confidence,
'trend': trend,
'data_days': data_days
})
except Exception as e:
if conn:
conn.close()
logging.error(f"stock-forecast API 오류: {e}")
import traceback
traceback.print_exc()
return jsonify({'success': False, 'error': str(e)}), 500
# ══════════════════════════════════════════════════════════════════════════════
# 바코드로 제품 이미지 조회 API (외부 CORS 지원)
# ══════════════════════════════════════════════════════════════════════════════
@app.route('/api/product-image/')
def api_product_image_by_barcode(barcode):
"""
바코드로 제품 이미지 반환 API
GET /api/product-image/8806265001309
GET /api/product-image/8806265001309?type=thumbnail
- CORS 지원 (외부에서 호출 가능)
- type=thumbnail: 썸네일 반환
- 이미지가 없으면 404
"""
try:
img_type = request.args.get('type', 'full') # full 또는 thumbnail
img_db_path = os.path.join(os.path.dirname(__file__), 'db', 'product_images.db')
conn = sqlite3.connect(img_db_path)
conn.row_factory = sqlite3.Row
cursor = conn.cursor()
if img_type == 'thumbnail':
cursor.execute("""
SELECT thumbnail_base64, product_name
FROM product_images
WHERE barcode = ? AND thumbnail_base64 IS NOT NULL
""", (barcode,))
col_name = 'thumbnail_base64'
else:
cursor.execute("""
SELECT image_base64, product_name
FROM product_images
WHERE barcode = ? AND image_base64 IS NOT NULL
""", (barcode,))
col_name = 'image_base64'
row = cursor.fetchone()
conn.close()
if not row or not row[col_name]:
response = jsonify({'success': False, 'error': 'Image not found'})
response.status_code = 404
response.headers['Access-Control-Allow-Origin'] = '*'
return response
# base64 디코딩
import base64
image_data = base64.b64decode(row[col_name])
# 이미지 응답 생성
response = make_response(image_data)
response.headers['Content-Type'] = 'image/jpeg'
response.headers['Access-Control-Allow-Origin'] = '*'
response.headers['Access-Control-Allow-Methods'] = 'GET, OPTIONS'
response.headers['Cache-Control'] = 'public, max-age=86400' # 24시간 캐시
response.headers['X-Product-Name'] = row['product_name'].encode('utf-8').decode('latin-1') if row['product_name'] else ''
return response
except Exception as e:
logging.error(f"product-image API 오류: {e}")
response = jsonify({'success': False, 'error': str(e)})
response.status_code = 500
response.headers['Access-Control-Allow-Origin'] = '*'
return response
@app.route('/api/product-image/', methods=['OPTIONS'])
def api_product_image_options(barcode):
"""CORS preflight 요청 처리"""
response = make_response()
response.headers['Access-Control-Allow-Origin'] = '*'
response.headers['Access-Control-Allow-Methods'] = 'GET, OPTIONS'
response.headers['Access-Control-Allow-Headers'] = 'Content-Type'
return response
@app.route('/api/product-image-info/')
def api_product_image_info(barcode):
"""
바코드로 제품 이미지 정보 조회 (JSON)
GET /api/product-image-info/8806265001309
이미지 존재 여부, 제품명, URL 등 메타데이터 반환
"""
try:
img_db_path = os.path.join(os.path.dirname(__file__), 'db', 'product_images.db')
conn = sqlite3.connect(img_db_path)
conn.row_factory = sqlite3.Row
cursor = conn.cursor()
cursor.execute("""
SELECT barcode, drug_code, product_name, image_url, source, status,
CASE WHEN image_base64 IS NOT NULL THEN 1 ELSE 0 END as has_image,
CASE WHEN thumbnail_base64 IS NOT NULL THEN 1 ELSE 0 END as has_thumbnail,
created_at, updated_at
FROM product_images
WHERE barcode = ?
""", (barcode,))
row = cursor.fetchone()
conn.close()
if not row:
response = jsonify({'success': False, 'error': 'Product not found'})
response.headers['Access-Control-Allow-Origin'] = '*'
return response, 404
response = jsonify({
'success': True,
'data': {
'barcode': row['barcode'],
'drug_code': row['drug_code'],
'product_name': row['product_name'],
'image_url': f"/api/product-image/{row['barcode']}",
'thumbnail_url': f"/api/product-image/{row['barcode']}?type=thumbnail",
'original_url': row['image_url'],
'source': row['source'],
'status': row['status'],
'has_image': bool(row['has_image']),
'has_thumbnail': bool(row['has_thumbnail']),
'created_at': row['created_at'],
'updated_at': row['updated_at']
}
})
response.headers['Access-Control-Allow-Origin'] = '*'
return response
except Exception as e:
logging.error(f"product-image-info API 오류: {e}")
response = jsonify({'success': False, 'error': str(e)})
response.headers['Access-Control-Allow-Origin'] = '*'
return response, 500
# ─────────────────────────────────────────────────────────────
# 동물약 강의 콘텐츠 라우트
# ─────────────────────────────────────────────────────────────
from flask import send_from_directory
@app.route('/lecture/')
def serve_lecture(lecture_id):
"""동물약 강의 콘텐츠 서빙 (카카오톡 og 태그 포함)"""
filename = f'lecture_{lecture_id:02d}.html'
lectures_dir = os.path.join(app.static_folder, 'lectures')
return send_from_directory(lectures_dir, filename)
if __name__ == '__main__':
import os
PORT = 7001
# Flask reloader 자식 프로세스가 아닌 경우에만 체크
if os.environ.get('WERKZEUG_RUN_MAIN') != 'true':
if not check_port_available(PORT):
logging.warning(f"포트 {PORT}이 이미 사용 중입니다. 기존 프로세스를 종료합니다...")
if kill_process_on_port(PORT):
import time
time.sleep(2) # 프로세스 종료 대기
else:
logging.error(f"포트 {PORT} 해제 실패. 수동으로 확인하세요.")
# 프로덕션 모드로 실행
app.run(host='0.0.0.0', port=PORT, debug=False, threaded=True)