Update app.py

app.py

@@ -51,29 +51,41 @@ def parse_txt_file(content: str):
         line_check = line.replace('-', '').replace('=', '').strip()
         if not line_check:
             continue
+
+        # ---- Account name and values ----
         account_match = re.match(r'^([A-Z\s/(),.\-&]+?)\s{2,}(-?\d)', line)
         if account_match:
             account_name = account_match.group(1).strip()
             numbers_line = line[len(account_match.group(1)):].strip()
             all_values = re.findall(r'(-?\d{1,3}(?:,\d{3})*(?:\.\d+)?|n/m)', numbers_line)
-            row = {'Account Description': account_name}
-            column_mapping = [
-                f'YTD Actual {current_period}',
-                f'% {current_period} (YTD)',
-                f'YTD Budget {current_period}',
-                f'% {current_period} (Budget)',
-                f'YTD Actual {prior_period}',
-                f'% {prior_period}',
-                '% Inc/Dec vs Budget',
-                '% Inc/Dec vs SPLY',
-                f'QTD Actual {current_period}',
-                f'QTD Budget {current_period}',
-                f'QTD Actual {prior_period}'
-            ]
-            for idx, col_name in enumerate(column_mapping):
-                if idx < len(all_values):
-                    row[col_name] = all_values[idx]
-            data.append(row)
+        else:
+            # NEW FIX ➜ include rows with no numeric values
+            account_name = line.strip()
+            all_values = []
+
+        # Always build a row, even if no numbers found
+        row = {'Account Description': account_name}
+        column_mapping = [
+            f'YTD Actual {current_period}',
+            f'% {current_period} (YTD)',
+            f'YTD Budget {current_period}',
+            f'% {current_period} (Budget)',
+            f'YTD Actual {prior_period}',
+            f'% {prior_period}',
+            '% Inc/Dec vs Budget',
+            '% Inc/Dec vs SPLY',
+            f'QTD Actual {current_period}',
+            f'QTD Budget {current_period}',
+            f'QTD Actual {prior_period}'
+        ]
+        for idx, col_name in enumerate(column_mapping):
+            if idx < len(all_values):
+                row[col_name] = all_values[idx]
+            else:
+                row[col_name] = ''  # blank if missing numeric
+
+        data.append(row)
+
     return data, periods
 
 # ----------------------------