Update app.py

app.py

@@ -51,14 +51,14 @@ def parse_po_items_with_filters(text):
         # Match the start of a new item
         item_match = re.match(r"^(?P<Item>\d+)\s+(?P<Description>.+)", line)
         if item_match:
-            # Save the previous item
+            # If current_item is not None, finalize and add the previous item
             if current_item:
+                # Only update description if there's a valid current_item
                 current_item["Description"] = clean_description(
                     " ".join(description_accumulator).strip(),
                     item_number=int(current_item["Item"]),
                 )
                 data.append(current_item)
-                description_accumulator = []
 
             # Start a new item
             current_item = {
@@ -69,7 +69,7 @@ def parse_po_items_with_filters(text):
                 "Unit Price": "",
                 "Total Price": "",
             }
-            description_accumulator.append(item_match.group("Description"))
+            description_accumulator = [item_match.group("Description")]  # Start accumulating description
         elif current_item:
             # Accumulate additional lines for the current item's description
             description_accumulator.append(line.strip())
@@ -95,10 +95,10 @@ def parse_po_items_with_filters(text):
                     item_number=int(current_item["Item"]),
                 )
                 data.append(current_item)
-                description_accumulator = []
                 current_item = None  # Reset for the next item
+                description_accumulator = []
 
-    # Save the last item if not already added
+    # Ensure the last item is added if necessary
     if current_item:
         current_item["Description"] = clean_description(
             " ".join(description_accumulator).strip(),
@@ -106,7 +106,7 @@ def parse_po_items_with_filters(text):
         )
         data.append(current_item)
 
-    # Remove invalid rows
+    # Remove invalid rows (e.g., missing descriptions)
     data = [row for row in data if row["Description"]]
 
     # Return data as a DataFrame