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import streamlit as st
import numpy as np
import pandas as pd
import time
from rapidfuzz import process
import re
def load_ss_file(lineups, csv_file):
df = csv_file.copy()
try:
name_dict = dict(zip(df['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)
print(clean_name)
print(lineups.name)
if clean_name.endswith('.csv'):
lineups_df = pd.read_csv(lineups)
lineups_df = lineups_df.replace(0, np.nan)
elif clean_name.endswith(('.xls', '.xlsx')):
lineups_df = pd.read_excel(lineups)
lineups_df = lineups_df.replace(0, np.nan)
else:
st.error('Please upload either a CSV or Excel file for lineups')
return None, None
lineups_df = lineups_df.dropna(how='any')
export_df = lineups_df.copy()
# 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 |