Update app.py

app.py

@@ -136,13 +136,13 @@ inventory_date = datetime.today().strftime('%Y-%m-%d')
 apis = [
     # fetch warehouse ID
     {
-        "url": "http://193.203.162.39:8383/nxt-wms/userWarehouse/fetchWarehouseForUserId?",
+        "url": "http://193.203.162.39:81/nxt-wms/userWarehouse/fetchWarehouseForUserId?",
         "params": {"query": warehouse_name, "userId": 164}
     },
 
     # Stock summary based on warehouse id
     {
-        "url": "http://193.203.162.39:8383/nxt-wms/transactionHistory/stockSummary?",
+        "url": "http://193.203.162.39:81/nxt-wms/transactionHistory/stockSummary?",
         "params": {"branchId": 343, "onDate": inventory_date, "warehouseId": warehouse_id}
     }
 ]
@@ -1178,6 +1178,7 @@ def handle_large_dataset(df, create_document,isDataFrame):
                 # List of required columns
                 required_columns = ['BROKER', 'ACCOUNT NUMBER', 'EMPLOYEE NAME', 'ACCOUNT NAME', 'ACCOUNT ID']
                 # Filter the DataFrame to include only the required columns
+            print(df[required_columns])
                 limited_data = df[required_columns]
                 limited_data = limited_data.head(3)
                 limited_data_without_first_column = limited_data.iloc[:, 1:]