fix sock price order

app.py

@@ -80,13 +80,13 @@ def format_df(data):
     if data  == '' : return tables
 
     df = pd.json_normalize(data)
-    # Check if column exists
+    # Check if column exists (number)
     for col in ["price", "created_at"]:
         if col not in df.columns:
             # If not, add the column and fill with NaN or other default
             df[col] = 0
 
-    # Check if column exists
+    # Check if column exists (sting)
     for col in ["stock_out_source", "stock_out_id"]:
         if col not in df.columns:
             # If not, add the column and fill with NaN or other default
@@ -109,9 +109,11 @@ def format_df(data):
     grouped_data = df.groupby("stock_price_id").agg(
         {"product_name": "first", "outlet_name": "first", "price": "first", 
         "stock_in": "first", "stock_out_total": "first", "stock_in_source": "first", 
-        "stock_in_id": "first", "stock in": "first", "date_in":"first"}
+        "stock_in_id": "first", "stock in": "first", "date_in":"first", "created_at_in": "first"}
     ).reset_index()        
 
+    grouped_data = grouped_data.sort_values(by="created_at_in")
+
     # Iterate through groups and display main and detail tables
     for index, row in grouped_data.iterrows():
         main_table = pd.DataFrame([row], columns=["stock in", "price", "stock_in"])