import streamlit as st
import numpy as np
import pandas as pd
import time
from rapidfuzz import process, fuzz

def get_contest_names(contest_frame):
    """
    Get all unique names from the contest dataframe's player columns.
    
    Args:
        contest_frame: DataFrame containing contest data
        
    Returns:
        list: List of unique player names
    """
    # Get columns that contain player names (excluding non-player columns)
    player_columns = [col for col in contest_frame.columns 
                     if col not in ['BaseName', 'EntryCount']]
    
    # Get all unique values from these columns
    unique_names = contest_frame[player_columns].values.flatten()
    unique_names = pd.unique(unique_names)  # Remove duplicates
    unique_names = unique_names[~pd.isna(unique_names)]  # Remove any NaN values
    
    return list(unique_names)