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统计各渠道日终交易量与手续费汇总

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_08/account_types.csv").read()
    payment_channels_csv = open_url("https://data.zuihe.com/dbd/payment/state_08/payment_channels.csv").read()
    accounts_csv = open_url("https://data.zuihe.com/dbd/payment/state_08/accounts.csv").read()
    transfers_csv = open_url("https://data.zuihe.com/dbd/payment/state_08/transfers.csv").read()
    clearing_batches_csv = open_url("https://data.zuihe.com/dbd/payment/state_08/clearing_batches.csv").read()
    channel_stats_csv = open_url("https://data.zuihe.com/dbd/payment/state_08/channel_stats.csv").read()
    import sqlite3, pandas as pd
    from io import StringIO
    conn = sqlite3.connect(':memory:')
    pd.read_csv(StringIO(channel_stats_csv)).to_sql('channel_stats', conn, index=False, if_exists='replace')
    result = pd.read_sql_query("SELECT channel_id, SUM(tx_count) as tx_count, SUM(total_amount) as total_amount, SUM(total_fee) as total_fee FROM channel_stats GROUP BY channel_id ORDER BY total_amount DESC", conn)
    print(result.to_string(index=False))
    conn.close()

示例

输入
solve()
期望输出
channel_id  tx_count  total_amount  total_fee
          6        18     2230000.0         90
          1        27     1500000.0          0
          5         5     1200000.0        600
          2        59      710000.0          0
          7        15      420000.0          0
          8        42      185000.0        185
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