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import streamlit as st
import numpy as np
import pandas as pd
import time
from fuzzywuzzy import process
def load_dk_fd_file(lineups, csv_file):
df = csv_file.copy()
try:
name_dict = dict(zip(df['Name + ID'], df['Name']))
except:
name_dict = dict(zip(df['Id'], df['Nickname']))
print(name_dict)
# Now load and process the lineups file
try:
if lineups.name.endswith('.csv'):
lineups_df = pd.read_csv(lineups)
elif lineups.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
print(lineups_df)
try:
lineups_df = lineups_df.drop(columns=['Entry ID', 'Contest Name', 'Contest ID', 'Entry Fee'])
except:
pass
export_df = lineups_df.copy()
print(lineups_df)
print(export_df)
# Map the IDs to names
for col in lineups_df.columns:
lineups_df[col] = lineups_df[col].map(name_dict)
return export_df, lineups_df
except Exception as e:
st.error(f'Error loading lineups file: {str(e)}')
return None, None |