import csv
import os
from typing import List, Dict, Any
def fetch_data() -> List[Dict[str, Any]]:
"""
Fetches all previously stored user data from the 'registration.csv' file
and returns it as a list of dictionaries, suitable for table display.
Returns:
List[Dict[str, Any]]: A list of dictionaries, where each dictionary
represents a registered user with 'Name', 'email', and 'dob' keys.
Returns an empty list if no users are registered or an error occurs.
"""
file_path = 'registration.csv'
if not os.path.exists(file_path):
return [] # Return empty list if file doesn't exist
users = []
try:
with open(file_path, 'r', newline='') as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
# Ensure consistent keys, even if some are missing in a row
user_data = {
'Name': row.get('Name', 'N/A'),
'Email': row.get('email', 'N/A'), # Changed key to 'Email' for better display
'DOB': row.get('dob', 'N/A') # Changed key to 'DOB' for better display
}
users.append(user_data)
return users
except Exception as e:
# Do not use st.error here as this is a backend tool.
# The calling Streamlit app (llm.py) will handle displaying errors
# based on the empty list returned.
print(f"Error fetching data in fetch.py: {e}") # Log the error for debugging
return [] # Return empty list on error
