Started changing print statements to logging statements in tagger.py

Refined the load dataframe section in tagger.py

Beginning work on changing the tagging functions to use vectorized inputs instead of iterrows

deck_builder.py

@@ -429,7 +429,7 @@ class DeckBuilder:
                               ['colorless', 'black', 'green', 'red', 'blue', 'white', 'golgari', 'rakdos',
                                'dimir', 'orzhov', 'gruul', 'simic', 'selesnya', 'izzet', 'boros', 'azorius',
                                'jund', 'sultai', 'abzan', 'grixis', 'mardu', 'esper', 'temur', 'naya',
-                               'bant', 'jeska', 'glint', 'dune','witch', 'yore', 'ink', 'wubrg'])
+                               'bant', 'jeskai', 'glint', 'dune','witch', 'yore', 'ink', 'wubrg'])
         }
         
         try:
@@ -471,12 +471,50 @@ class DeckBuilder:
             logging.error(f"Error in determine_color_identity: {e}")
             raise
     
+    def read_csv(self, filename: str, converters: dict | None = None) -> pd.DataFrame:
+        """Read CSV file with error handling and logging.
+        
+        Args:
+            filename: Name of the CSV file without extension
+            converters: Dictionary of converters for specific columns
+        
+        Returns:
+            DataFrame from CSV file
+        """
+        try:
+            filepath = f'{csv_directory}/{filename}_cards.csv'
+            df = pd.read_csv(filepath, converters=converters or {'themeTags': pd.eval, 'creatureTypes': pd.eval})
+            logging.debug(f"Successfully read {filename}_cards.csv")
+            return df
+        except FileNotFoundError as e:
+            logging.error(f"File {filename}_cards.csv not found: {e}")
+            raise
+        except Exception as e:
+            logging.error(f"Error reading {filename}_cards.csv: {e}")
+            raise
+
+    def write_csv(self, df: pd.DataFrame, filename: str) -> None:
+        """Write DataFrame to CSV with error handling and logging.
+        
+        Args:
+            df: DataFrame to write
+            filename: Name of the CSV file without extension
+        """
+        try:
+            filepath = f'{csv_directory}/{filename}.csv'
+            df.to_csv(filepath, index=False)
+            logging.debug(f"Successfully wrote {filename}.csv")
+        except Exception as e:
+            logging.error(f"Error writing {filename}.csv: {e}")
+            raise
+
     def setup_dataframes(self):
+        """Initialize and setup all required DataFrames."""
         all_df = []
         for file in self.files_to_load:
-            df = pd.read_csv(f'{csv_directory}/{file}_cards.csv', converters={'themeTags': pd.eval, 'creatureTypes': pd.eval})
+            df = self.read_csv(file)
             all_df.append(df)
-        self.full_df = pd.concat(all_df,ignore_index=True)
+        self.full_df = pd.concat(all_df, ignore_index=True)
         self.full_df.sort_values(by='edhrecRank', inplace=True)
         
         self.land_df = self.full_df[self.full_df['type'].str.contains('Land')].copy()