Create file_utils.py

file_utils.py

@@ -0,0 +1,47 @@
+import pickle  
+import pandas as pd
+
+def load_service_data(file_path: str) -> pd.DataFrame:
+    """
+    Loads a CSV file into a Pandas DataFrame and sets the index to the 'service' column.
+
+    Parameters:
+        file_path (str): Path to the CSV file.
+
+    Returns:
+        pd.DataFrame: DataFrame with 'service' as the index.
+    """
+    try:
+        df = pd.read_csv(file_path)
+        df = df.set_index("service")  # Set 'service' as index
+        return df
+    except FileNotFoundError:
+        print(f"Error: The file '{file_path}' was not found.")
+        return pd.DataFrame()  # Return an empty DataFrame on error
+    except Exception as e:
+        print(f"Error loading CSV file '{file_path}': {e}")
+        return pd.DataFrame()
+        
+def load_pickle(file_path: str):
+    """Loads and returns data from a Pickle (.pkl) file."""
+    try:
+        with open(file_path, "rb") as file:  # Open in 'rb' (read binary) mode
+            return pickle.load(file)
+    except FileNotFoundError:
+        print(f"Error: The file '{file_path}' was not found.")
+        return None
+    except Exception as e:
+        print(f"Error reading Pickle file '{file_path}': {e}")
+        return None
+
+def load_file(file_path: str) -> str:
+    """Reads the text from a file safely."""
+    try:
+        with open(file_path, "r", encoding="utf-8") as file:
+            return file.read()
+    except FileNotFoundError:
+        print(f"Error: The file '{file_path}' was not found.")
+        return ""
+    except Exception as e:
+        print(f"Error reading file '{file_path}': {e}")
+        return ""