data_extraction.py

import streamlit as st
import pandas as pd

crypto_wallet_history = upload_csv('Crypto)
fiat_wallet_history = upload_csv('Fiat')
visa_card_history = upload_csv('Visa')
features = fetch_feature_flags()
combined_history = pd.concat([crypto_wallet_history, fiat_wallet_history, visa_card_history])

if not combined_history.empty:
    total_investment = investment_histroy[
        (investment_histroy['Currency'] == 'USD')
        & (investment_histroy['Transaction Kind'] == 'van_purchase')
    ]['Amount'].sum()
    if 'summary' in features:
        st.metric(label='Total Investment',
                     value='$ {0}'.format(total_investment))
    if 'raw_table' in features:
        st.write(combined_history)