Removed unsupported match/case from modules.

modules.py

@@ -2,6 +2,8 @@ import pandas as pd
 
 SUPPORTED_TYPES = [".csv", ".json", ".xlsx"]
 
+def hello_world(): return "hello world!"
+
 def load_file(file):
     """
     Takes a file given by Streamlit and loads into a DataFrame.
@@ -13,22 +15,22 @@ def load_file(file):
     """
     df = pd.DataFrame()  
 
-    if file is None: return df, ""
+    if file is None: return df, ("", ""), ""
 
     filename = file.name
     extension = filename.split(".")[-1] 
     metadata = (filename, extension)
 
+    import_functions = {
+        "csv": pd.read_csv,
+        "json": pd.read_json,
+        "xlsx": pd.read_excel
+    }
     try:
-        match extension:
-            case "csv":
-                df = pd.read_csv(file)
-            case "json":
-                df = pd.read_json(file)
-            case "xlsx":
-                df = pd.read_excel(file)
-            case _:
-                return df, metadata, f"Error: Invalid extension '{extension}'"
+        reader = import_functions.get(extension, None)
+        if reader is None: 
+            return df, metadata, f"Error: Invalid extension '{extension}'"
+        df = reader(file)
         rows, columns = df.shape
         return df, metadata, f"File '{filename}' loaded successfully.\nFound {rows} rows, {columns} columns."
     except Exception as error:
@@ -44,13 +46,14 @@ def create_file(df, extension):
     @param extension: The desired filetype.
     @return: A file container ready for download.
     """
-    match extension:
-        case "csv":
-            return df.to_csv()
-        case "json":
-            return df.to_json()
-        case "xlsx":
-            return df.to_excel()
+    export_functions = {
+        "csv": pd.DataFrame.to_csv,
+        "json": pd.DataFrame.to_json,
+        "xlsx": pd.DataFrame.to_excel
+    }
+    exporter = export_functions.get(extension, None)
+    if exporter is None: return None
+    return exporter(df)
 
 def data_cleaner(df, drop_missing=False, remove_duplicates=True):
     """