From 13e9950c07be03b68531e3cf28adbd069d16a42e Mon Sep 17 00:00:00 2001
From: Sindre Stephansen <sindre@sindrestephansen.com>
Date: Mon, 22 Sep 2025 09:16:45 +0200
Subject: [PATCH] Add configurable output file names per bank

---
 ynab-karianne.py | 36 ++++++++++++++++++++++++++----------
 1 file changed, 26 insertions(+), 10 deletions(-)

diff --git a/ynab-karianne.py b/ynab-karianne.py
index 12a1abe..bb1feb3 100644
--- a/ynab-karianne.py
+++ b/ynab-karianne.py
@@ -26,11 +26,11 @@ def parse_norwegian_date(date_str):
     if pd.isna(date_str) or date_str == '':
         return ''
     try:
-        # Parse DD.MM.YYYY and convert to YYYY-MM-DD
-        date_obj = pd.to_datetime(date_str, format='%d.%m.%Y')
-        return date_obj.strftime('%Y-%m-%d')
+        # Parse DD.MM.YYYY and convert to date object
+        return pd.to_datetime(date_str, format='%d.%m.%Y')
     except (ValueError, TypeError):
-        return str(date_str)  # Return original if parsing fails 
+        print(f"Invalid date format: {date_str}")
+        exit(1)
 
 def parse_bank_sparebank1(data):
     """
@@ -85,11 +85,13 @@ def parse_bank_norwegian(data):
 BANKS = {
     "Sparebank1": {
         "patterns": ["OversiktKonti*.csv"],
+        "output_filename": "YNAB-{bank}-FROM-{first_date}-TO-{last_date}",
         "parse_function": parse_bank_sparebank1,
         "delimiter": ";"
     },
     "Norwegian": {
         "patterns": ["BankNorwegian*.xlsx", "Statement*.xlsx"], 
+        "output_filename": "YNAB-{bank}-FROM-{first_date}-TO-{last_date}",
         "parse_function": parse_bank_norwegian
     }
     # Add more banks and patterns as needed
@@ -205,12 +207,26 @@ def convert_bank_statements_to_ynab(input_files=None):
             print(f"No data processed for {file_path}")
             continue
         
-        # Define output file with "ynab-" prefix
-        output_filename = f"ynab-{file_path.name}"
-        if not output_filename.endswith('.csv'):
-            output_filename = Path(output_filename).stem + '.csv'
-        
-        output_file = output_directory / output_filename
+        filename_placeholders = {
+            'bank': bank_name,
+            'first_date': ynab_data['Date'].min().date(),
+            'last_date': ynab_data['Date'].max().date(),
+        }
+
+        file_retry_count = 0
+        while True:
+            output_filename = bank_config["output_filename"].format(**filename_placeholders)
+
+            if file_retry_count > 0:
+                output_filename += f" ({file_retry_count})"
+            
+            output_filename += ".csv"
+            output_file = output_directory / output_filename
+
+            if not output_file.exists():
+                break
+
+            file_retry_count += 1
         
         # Export to CSV for YNAB import
         ynab_data.to_csv(output_file, index=False)