remove end datae

src/etl/transform.py

@@ -15,16 +15,16 @@ def get_employee_list():
     return employee["Employee_Type"].unique()
 
 
-def get_released_product_list(start_date=None, end_date=None):
+def get_released_product_list(start_date=None):
     
-    released_orders = ex.read_released_orders_data(
+    released_orders = ex.read_orders_data(
         start_date=start_date, 
-        end_date=end_date
+        # end_date=end_date
     )
     
     
     product_list = released_orders["Material Number"].unique().tolist()
-    print(f"Released products for date range {start_date} to {end_date}: {len(product_list)} products")
+    print(f"Released products for date range {start_date}: {len(product_list)} products")
     return product_list
 
 
@@ -36,7 +36,7 @@ def get_available_dates():
         tuple: (start_dates, end_dates) - 고유한 시작 날짜와 종료 날짜 리스트
     """
     # 모든 데이터를 가져옴 (날짜 필터링 없이)
-    released_orders = ex.read_released_orders_data()
+    released_orders = ex.read_orders_data()
     
     # 날짜 컬럼을 datetime으로 변환 (이미 extract.py에서 변환되지만 확실히 하기 위해)
     released_orders["Basic start date"] = pd.to_datetime(released_orders["Basic start date"])
@@ -59,7 +59,7 @@ def get_date_ranges():
     Returns:
         list: 사용 가능한 (start_date, end_date) 조합 리스트
     """
-    released_orders = ex.read_released_orders_data()
+    released_orders = ex.read_orders_data()
     
     # 날짜 컬럼을 datetime으로 변환
     released_orders["Basic start date"] = pd.to_datetime(released_orders["Basic start date"])