logging and clean up

src/auto_archiver/modules/gsheet_feeder_db/gsheet_feeder_db.py

@@ -10,7 +10,7 @@ The filtered rows are processed into `Metadata` objects.
 """
 
 import os
-from typing import Tuple, Union
+from typing import Tuple, Union, Iterator
 from urllib.parse import quote
 
 import gspread
@@ -33,10 +33,10 @@ class GsheetsFeederDB(Feeder, Database):
     def open_sheet(self):
         if self.sheet:
             return self.gsheets_client.open(self.sheet)
-        else:  # self.sheet_id
+        else:
             return self.gsheets_client.open_by_key(self.sheet_id)
 
-    def __iter__(self) -> Metadata:
+    def __iter__(self) -> Iterator[Metadata]:
         sh = self.open_sheet()
         for ii, worksheet in enumerate(sh.worksheets()):
             if not self.should_process_sheet(worksheet.title):
@@ -45,14 +45,14 @@ class GsheetsFeederDB(Feeder, Database):
             logger.info(f"Opening worksheet {ii=}: {worksheet.title=} header={self.header}")
             gw = GWorksheet(worksheet, header_row=self.header, columns=self.columns)
             if len(missing_cols := self.missing_required_columns(gw)):
-                logger.warning(
+                logger.debug(
                     f"SKIPPED worksheet '{worksheet.title}' due to missing required column(s) for {missing_cols}"
                 )
                 continue
 
             # process and yield metadata here:
             yield from self._process_rows(gw)
-            logger.success(f"Finished worksheet {worksheet.title}")
+            logger.info(f"Finished worksheet {worksheet.title}")
 
     def _process_rows(self, gw: GWorksheet):
         for row in range(1 + self.header, gw.count_rows() + 1):