# -*- coding: utf-8 -*-
import pyodbc

conn_str = (
    'DRIVER={ODBC Driver 17 for SQL Server};'
    'SERVER=192.168.0.4\\PM2014;'
    'DATABASE=PM_DRUG;'
    'UID=sa;'
    'PWD=tmddls214!%(;'
    'TrustServerCertificate=yes;'
    'Connection Timeout=10'
)

conn = pyodbc.connect(conn_str, timeout=10)
cur = conn.cursor()

# 라식스 약품 정보 조회 (전체 컬럼)
cur.execute("""
    SELECT TOP 1 *
    FROM CD_GOODS 
    WHERE DrugCode = '652100200'
""")

row = cur.fetchone()
if row:
    columns = [desc[0] for desc in cur.description]
    print("=== 라식스 약품 정보 ===")
    for i, col in enumerate(columns):
        if 'price' in col.lower() or 'cost' in col.lower() or 'amount' in col.lower():
            print(f"{col}: {row[i]}")

# 처방전에서 라식스 DRUPRICE 확인
conn2 = pyodbc.connect(conn_str.replace('PM_DRUG', 'PM_PRES'), timeout=10)
cur2 = conn2.cursor()

cur2.execute("""
    SELECT TOP 5 DrugCode, QUAN, Days, DRUPRICE
    FROM PS_sub_pharm
    WHERE DrugCode = '652100200'
    ORDER BY Indate DESC
""")

print("\n=== 최근 처방 라식스 DRUPRICE ===")
for row in cur2.fetchall():
    print(f"DrugCode: {row.DrugCode}, QUAN: {row.QUAN}, Days: {row.Days}, DRUPRICE: {row.DRUPRICE}")
    dose = row.QUAN * row.Days
    amount = row.DRUPRICE * row.QUAN * row.Days
    print(f"  → 투약량: {dose}, 매출액: {amount:,}")