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实现批量任务进度跟踪已处理总条数

未完成
初级参考 完整示例代码供参考，建议自己理解后重新输入 
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')
    total = pd.read_sql_query("SELECT COUNT(*) as c FROM transfers WHERE transfer_type_id=3", conn).iloc[0]['c']
    done = pd.read_sql_query("SELECT COUNT(*) as c FROM transfers WHERE transfer_type_id=3 AND status='COMPLETED'", conn).iloc[0]['c']
    pct = done / total * 100 if total > 0 else 0
    print(f"总笔数: {total}")
    print(f"已完成: {done}")
    print(f"进度: {pct:.1f}%")
    conn.close()

示例

输入
solve()
期望输出
总笔数: 3
已完成: 3
进度: 100.0%
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