查询企业当日所有批量任务状态

def solve():
    from pyodide.http import open_url
    account_types_csv = open_url("https://data.zuihe.com/dbd/payment/state_03/account_types.csv").read()
    payment_channels_csv = open_url("https://data.zuihe.com/dbd/payment/state_03/payment_channels.csv").read()
    transfer_types_csv = open_url("https://data.zuihe.com/dbd/payment/state_03/transfer_types.csv").read()
    transaction_limits_csv = open_url("https://data.zuihe.com/dbd/payment/state_03/transaction_limits.csv").read()
    accounts_csv = open_url("https://data.zuihe.com/dbd/payment/state_03/accounts.csv").read()
    transfers_csv = open_url("https://data.zuihe.com/dbd/payment/state_03/transfers.csv").read()
    fraud_rules_csv = open_url("https://data.zuihe.com/dbd/payment/state_03/fraud_rules.csv").read()
    import sqlite3, pandas as pd
    from io import StringIO
    conn = sqlite3.connect(':memory:')
    pd.read_csv(StringIO(transfers_csv)).to_sql('transfers', conn, index=False, if_exists='replace')
    result = pd.read_sql_query("SELECT status, COUNT(*) as count, SUM(amount) as total_amount FROM transfers WHERE from_account_id=11 GROUP BY status", conn)
    print(result.to_string(index=False))
    conn.close()