Mdified comparison route and roundoff values checking also.

AppCode/FileHandler.py

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+import os
+
+
+class FileHandler:
+
+    UPLOAD_FOLDER = 'uploads'
+    RESULT_FILE = 'unmatched_result.xlsx'
+
+    @staticmethod
+    def check_or_create_folder_exists():
+       
+       if not os.path.exists(FileHandler.UPLOAD_FOLDER):
+            os.makedirs(FileHandler.UPLOAD_FOLDER)
+

AppCode/ServerPort.py

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+
+# Server config.
+class CompGSTServer:
+    host='0.0.0.0'
+    port=5001

AppCode/compare_excel.py

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+import pandas as pd
+
+class Comparison:
+
+    @staticmethod
+    def normalize_value(val):
+        """Normalize non-numeric values (date, string)."""
+        if pd.isna(val):
+            return ""
+
+        # Normalize dates
+        if isinstance(val, pd.Timestamp):
+            return val.date().isoformat()
+
+        # Normalize strings
+        return str(val).strip().upper().replace(" ", "")
+
+    @staticmethod
+    def round_amount(val, decimals=0):
+        """Round numeric values safely for comparison."""
+        if pd.isna(val):
+            return ""
+        try:
+            return round(float(val), decimals)
+        except Exception:
+            return val
+
+    @staticmethod
+    def find_unmatched_rows(sheet1_df, sheet2_df):
+        # Clean column names
+        sheet1_df.columns = sheet1_df.columns.str.strip()
+        sheet2_df.columns = sheet2_df.columns.str.strip()
+
+        comparison_columns = [
+            'Date',
+            'GSTIN/UIN',
+            'Voucher Ref. No.',
+            'Total Tax',
+            'Total Amount'
+        ]
+
+        amount_columns = ['Total Tax', 'Total Amount']
+
+        # Validate required columns
+        for col in comparison_columns:
+            if col not in sheet1_df.columns or col not in sheet2_df.columns:
+                raise ValueError(f"Missing column '{col}' in one of the sheets.")
+
+        # Normalize values
+        for col in comparison_columns:
+            if col in amount_columns:
+                sheet1_df[col] = sheet1_df[col].apply(
+                    lambda x: Comparison.round_amount(x, 0)
+                )
+                sheet2_df[col] = sheet2_df[col].apply(
+                    lambda x: Comparison.round_amount(x, 0)
+                )
+            else:
+                sheet1_df[col] = sheet1_df[col].apply(Comparison.normalize_value)
+                sheet2_df[col] = sheet2_df[col].apply(Comparison.normalize_value)
+
+        # Create comparison keys
+        sheet1_keys = sheet1_df[comparison_columns].apply(tuple, axis=1)
+        sheet2_keys = sheet2_df[comparison_columns].apply(tuple, axis=1)
+
+        # Find unmatched rows
+        unmatched_sheet1 = sheet1_df[~sheet1_keys.isin(sheet2_keys)].copy()
+        unmatched_sheet2 = sheet2_df[~sheet2_keys.isin(sheet1_keys)].copy()
+
+        # Add source column
+        unmatched_sheet1["Source"] = "Portal"
+        unmatched_sheet2["Source"] = "Tally"
+
+        return unmatched_sheet1, unmatched_sheet2