global_func/load_dk_fd_file.py

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

sport_headers = {
    'Draftkings': {
        'Classic' : {
            'MMA' : ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6'],
            'GOLF' : ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6'],
            'F1' : ['CPT', 'DRIVER1', 'DRIVER2', 'DRIVER3', 'DRIVER4', 'CONST'],
            'SOC' : ['F1', 'F2', 'M1', 'M2', 'D1', 'D2', 'GK', 'UTIL'],
            'TENNIS' : ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6'],
            'WNBA' : ['G1', 'G2', 'F1', 'F2', 'F3', 'UTIL'],
            'NASCAR' : ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6'],
            'MLB' : ['SP1', 'SP2', 'C', '1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3'],
            'NFL' : ['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST'],
            'CFL' : ['QB', 'RB', 'WR1', 'WR2', 'FLEX1', 'FLEX2', 'DST'],
            'LOL' : ['CPT', 'TOP', 'JNG', 'MID', 'ADC', 'SUP', 'TEAM'],
            'CSGO' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'COD' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'TEAM'],
            'NHL' : ['C1', 'C2', 'W1', 'W2', 'W3', 'D1', 'D2', 'UTIL', 'G'],
            'NCAAF' : ['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'FLEX', 'SFLEX'],
        },
        'Showdown' : {
            'MMA' : ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6'],
            'GOLF' : ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6'],
            'F1' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'SOC' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'TENNIS' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'WNBA' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'NASCAR' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'MLB' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'NFL' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'CFL' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'LOL' : ['CPT1', 'CPT2', 'FLEX1', 'FLEX2'],
            'CSGO' : ['CPT1', 'CPT2', 'FLEX1', 'FLEX2'],
            'COD' : ['CPT1', 'CPT2', 'FLEX1', 'FLEX2'],
            'NHL' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'NCAAF' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
        },
    },
    'Fanduel': {
        'Classic' : {
            'MMA' : ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6'],
            'GOLF' : ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6'],
            'F1' : ['CPT', 'DRIVER1', 'DRIVER2', 'DRIVER3', 'DRIVER4', 'CONST'],
            'SOC' : ['F1', 'F2', 'M1', 'M2', 'D1', 'D2', 'GK', 'UTIL'],
            'TENNIS' : ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6'],
            'WNBA' : ['G1', 'G2', 'G3', 'F1', 'F2', 'F3', 'F4'],
            'NASCAR' : ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6'],
            'MLB' : ['P', 'C/1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'UTIL'],
            'NFL' : ['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST'],
            'CFL' : ['QB', 'RB', 'WR1', 'WR2', 'FLEX1', 'FLEX2', 'DST'],
            'LOL' : ['CPT', 'TOP', 'JNG', 'MID', 'ADC', 'SUP', 'TEAM'],
            'CSGO' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'COD' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'TEAM'],
            'NHL' : ['C1', 'C2', 'W1', 'W2', 'W3', 'D1', 'D2', 'UTIL', 'G'],
            'NCAAF' : ['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'FLEX', 'SFLEX'],
        },
        'Showdown' : {
            'MMA' : ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6'],
            'GOLF' : ['FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'FLEX6'],
            'F1' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'SOC' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'TENNIS' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'WNBA' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'NASCAR' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'MLB' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'NFL' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'CFL' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'LOL' : ['CPT1', 'CPT2', 'FLEX1', 'FLEX2'],
            'CSGO' : ['CPT1', 'CPT2', 'FLEX1', 'FLEX2'],
            'COD' : ['CPT1', 'CPT2', 'FLEX1', 'FLEX2'],
            'NHL' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
            'NCAAF' : ['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5'],
        },
    },
}

def load_dk_fd_file(lineups, csv_file, site_var, type_var, sport_var):
    df = csv_file.copy()
    try:
        name_dict = dict(zip(df['Name + ID'], df['Name']))
    except:
        name_dict = dict(zip(df['Id'], df['Nickname']))

    # Now load and process the lineups file
    try:
        clean_name = re.sub(r' \(\d+\)', '', lineups.name)
        
        if clean_name.endswith('.csv'):
            lineups_df = pd.read_csv(lineups)
        elif clean_name.endswith(('.xls', '.xlsx')):
            lineups_df = pd.read_excel(lineups)
        else:
            st.error('Please upload either a CSV or Excel file for lineups')
            return None, None

        try:
            lineups_df = lineups_df.drop(columns=['Entry ID', 'Contest Name', 'Contest ID', 'Entry Fee'])
        except:
            pass

        lineups_df.columns = sport_headers[site_var][type_var][sport_var]

        export_df = lineups_df.copy()
        
        # Map the IDs to names
        for col in lineups_df.columns:
            def map_or_clean(value):
                # First try to map using the dictionary
                if value in name_dict:
                    return name_dict[value]
                else:
                    # If no match found, remove the ID portion
                    match = re.search(r' \(', str(value))
                    if match:
                        return str(value)[:match.start()]
                    return value
            
            lineups_df[col] = lineups_df[col].apply(map_or_clean)
        
        return export_df, lineups_df
        
    except Exception as e:
        st.error(f'Error loading lineups file: {str(e)}')
        return None, None