Refactor ledger processing to explicit mapping which will make automated classfication easy

toldg.py

@@ -0,0 +1,42 @@
+import os.path
+import csv
+import logging
+import src.utils
+import src.process
+from src.models import Transaction
+from rich.logging import RichHandler
+from typing import List
+
+
+def write_mappings(unmatched_transactions: List[Transaction], mappings_directory: str):
+    """ Write mappings for unmatched expenses for update by the user. """
+    if not unmatched_transactions:
+        return
+    fn = os.path.join(mappings_directory, "unmatched.csv")
+    with open(fn, 'a') as f:
+        writer = csv.writer(f)
+        for t in unmatched_transactions:
+            e = ["expenses", t.description,
+                 f"credit={t.credit};date={t.date}"]
+            writer.writerow(e)
+
+
+def init_logging():
+    logging.basicConfig(
+        level=logging.INFO,
+        format="%(message)s",
+        datefmt="[%X]",
+        handlers=[RichHandler()],
+    )
+
+
+def main():
+    init_logging()
+    config = src.utils.load_config()
+    src.utils.remove_if_exists(config.output_file)
+    src.process.process_ldg_files(config)
+    src.process.process_csv_files(config)
+
+
+if __name__ == "__main__":
+    main()