用于仅分析 DSS 事务的过滤器如下：

• 路由 ID值：0xA20

• 路由 ID 掩码：0xFFE

• 采样窗口：0x4000

仅对 EMIF0 进行了分析。

每帧发送的总字节通过以下公式计算：dss-frame-thru-calc.py

# Author: Jared McArthur

import csv
import matplotlib.pyplot as plt
from argparse import ArgumentParser
from textwrap import dedent

def main():
    total_bytes = []
    time_stamps = []

    parser = ArgumentParser(prog="dss-frame-thru-calc.py")
    parser.add_argument("file", type=str)
    parser.add_argument("frame_start", type=float)
    parser.add_argument("frame_end", type=float)

    args = parser.parse_args()
    start = args.frame_start
    end = args.frame_end

    with open(args.file, "r") as csvfile:
        data = csv.DictReader(csvfile)

        first_stamp = 0

        for row in data:
            if row.get("Master ID") != "":
                total_byte = int(row.get("Byte Transactions"), base=16)
                time_stamp = int(row.get("Global Timestamp"), base=16)

                if len(time_stamps) == 0:
                    first_stamp = time_stamp

                total_bytes.append(total_byte)
                time_stamps.append((time_stamp - first_stamp) / (1000000000 / 5))

    stamps_len = len(time_stamps)
    for index, stamp in enumerate(reversed(time_stamps)):
        if stamp < start or stamp > end:
            time_stamps.pop(stamps_len - 1 - index)
            total_bytes.pop(stamps_len - 1 - index)

    bytes_in_frame = 0
    for val in total_bytes:
        bytes_in_frame += val

    print(dedent(f"""
        Num periods in segment: {len(time_stamps)}
        Time elapsed in segment: {time_stamps[-1] - time_stamps[0]}
        Bytes sent in segment: {bytes_in_frame}"""))

    plt.plot(time_stamps, total_bytes)
    plt.show()

if __name__ == "__main__":
    main()