Add support for xlsx files

src/utils/common.py

@@ -1,7 +1,8 @@
 import csv
 import re
 from typing import List, Dict, Union, TextIO
-from io import TextIOBase
+from io import TextIOBase, StringIO
+from xlsx2csv import Xlsx2csv
 from dateutil import parser
 from pathlib import Path
 from rich.console import Console
@@ -24,7 +25,7 @@ def list_key_values(data: List[Dict], key):
     output.discard(None)
     return output
 
-def read_and_normalize_csv(input_file: Union[List[TextIO], List[Path], TextIO, Path]) -> List[dict]:
+def read_and_normalize_csv_or_xlsx(input_file: Union[List[TextIO], List[Path], TextIO, Path]) -> List[dict]:
     """
     Reads CSV file(s) from the provided input file path(s) or file object(s), 
     and returns a list of dictionaries with normalized keys and values 
@@ -51,8 +52,18 @@ def read_and_normalize_csv(input_file: Union[List[TextIO], List[Path], TextIO, P
     
     for f in file_list:
         if isinstance(f, Path):
-            f = f.open()    
-        reader = csv.DictReader(f)
+            if f.suffix.lower() == ".csv":
+                with f.open("r", encoding="utf-8") as f:
+                    reader = csv.DictReader(f)
+
+            elif f.suffix.lower() == ".xlsx":
+                output = StringIO()
+                Xlsx2csv(f, outputencoding="utf-8").convert(output)
+                output.seek(0)
+                reader = csv.DictReader(output)
+
+            else:
+                raise ValueError("File must be a .csv or .xlsx")
         for row in reader:
             normalized_row = normalize_row(row, normalization_config)
             result_data.append(normalized_row)
@@ -157,7 +168,7 @@ def parse_datetime(data: List[Dict]):
 
 def import_gamebygame(data: Union[List[Dict], TextIO, Path]) -> List[Dict]:
     if isinstance(data, TextIOBase) or isinstance(data, Path) :
-        data = read_and_normalize_csv(data)
+        data = read_and_normalize_csv_or_xlsx(data)
 
     header = data[0].keys()
     visitor_home_order_reversed = is_visitor_home_order_reversed(list(header))