Update toshiba.py

toshiba.py

@@ -23,22 +23,20 @@ def extract_toshiba_data(pdf_file):
 
             # Extract item details
             for line in text:
-                parts = line.split()
-                try:
-                    pos = int(parts[0])
-                    if 10 <= pos <= 450:
-                        item_code = parts[1]
-                        unit = parts[3]  # Assuming unit appears in a fixed position
-                        delivery_date = parts[4]  # Assuming delivery date is next
-                        quantity = float(parts[5])
-                        basic_price = float(parts[6])
-                        amount = quantity * basic_price
-                        sub_total = float(parts[-1])  # Assuming subtotal is the last item on the line
-                        data.append([purchase_order, order_date, pos, item_code, unit, delivery_date, quantity, basic_price, amount, sub_total])
-                except (ValueError, IndexError):
-                    continue
+                item_match = re.match(r'(\d+)\s+(\d+)\s+(NOS|PCS)\s+([\d-]+)\s+([\d.]+)\s+([\d.]+)\s+([\d.]+)', line)
+                if item_match:
+                    pos = int(item_match.group(1))
+                    item_code = item_match.group(2)
+                    unit = item_match.group(3)
+                    delivery_date = item_match.group(4)
+                    quantity = float(item_match.group(5))
+                    basic_price = float(item_match.group(6))
+                    amount = quantity * basic_price
+                    sub_total = float(item_match.group(7))
 
-    # Define DataFrame with the new structure
+                    data.append([purchase_order, order_date, pos, item_code, unit, delivery_date, quantity, basic_price, amount, sub_total])
+
+    # Define DataFrame with the corrected structure
     df = pd.DataFrame(data, columns=["Purchase Order", "Order Date", "Pos", "Item Code", "Unit", "Delivery Date", "Quantity", "Basic Price", "Amount", "SUB TOTAL"])
     
     # Save to Excel file