James McCool
Refactor import statements across multiple files to replace 'fuzzywuzzy' with 'rapidfuzz' for improved performance and consistency in string matching functionality. Additionally, clean up unused imports in app.py and related global functions to enhance code clarity and maintainability.
d9db89f
| import streamlit as st | |
| import numpy as np | |
| import pandas as pd | |
| import time | |
| from rapidfuzz import process | |
| import re | |
| 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'])) | |
| # 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) | |
| 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 | |
| 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() | |
| # 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 |