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初级

实现上报数据包大小限制

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
    from io import StringIO
    import pandas as pd
    logs_csv = open_url("https://data.zuihe.com/dbd/ms-devhub/state_03/upload_logs.csv").read()
    logs = pd.read_csv(StringIO(logs_csv))
    MAX_SIZE = 65536
    def check_payload_size(size_bytes):
        if size_bytes > MAX_SIZE:
            return False, "413 Payload Too Large: "+str(size_bytes)+"B"
        return True, "ok: "+str(size_bytes)+"B"
    test_sizes = [128, 1024, 4096, 65537, 131072]
    for size in test_sizes:
        ok, msg = check_payload_size(size)
        print(msg)
    print("Log stats:")
    print("  max payload: "+str(logs['payload_size'].max())+"B")
    print("  over 64KB: "+str((logs['payload_size']>MAX_SIZE).sum()))

示例

输入
solve()
期望输出
ok: 128B
ok: 1024B
ok: 4096B
413 Payload Too Large: 65537B
413 Payload Too Large: 131072B
Log stats:
  max payload: 4096B
  over 64KB: 0
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