113 lines
5.1 KiB
Python
113 lines
5.1 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""对比「带 CAN」与「拔掉 CAN」两轮扫描，分离每拍负担的组成。
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用途：判断 ECAT 速度上限究竟由什么决定 —— 是每拍都要跑的过程数据交换
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（PDI_Isr / PDO 填充，与 CAN 无关），还是叠加在上面的 CAN 收发处理。
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判读：两条 load 曲线的**垂直间距**就是 CAN 在每个周期档上贡献的负担。
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间距近似恒定 → CAN 负担与周期无关，上限由纯 ECAT 那条线单独决定；
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间距随频率张开 → CAN 负担本身也按拍放大，提速会被 CAN 先拖垮。
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用法：
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python scripts/plot_ecat_nocan_vs_can.py \
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--nocan lab/ecat_rate_sweep_nocan.csv --withcan lab/ecat_rate_sweep_withcan.csv
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"""
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import argparse
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import csv
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import os
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import matplotlib
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matplotlib.use("Agg")
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import matplotlib.pyplot as plt
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from matplotlib import rcParams
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rcParams["font.sans-serif"] = ["Microsoft YaHei", "SimHei", "DejaVu Sans"]
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rcParams["axes.unicode_minus"] = False
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rcParams["figure.dpi"] = 130
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def load(path):
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out = {}
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for r in csv.DictReader(open(path, encoding="utf-8")):
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def num(k):
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v = r.get(k, "")
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try:
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return float(v) if v not in ("", "None", None) else None
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except ValueError:
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return None
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out[float(r["period_ms"])] = {
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"load": num("gd32_load_pct"), "hz": num("measured_hz"),
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"achieve": num("achieve_pct"), "skip": num("skip_per_s"),
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"wkc_ok": r.get("wkc") == r.get("expected_wkc"),
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"stale": num("gd32_load_stale")}
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return out
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def main():
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ap = argparse.ArgumentParser(description="带 CAN vs 无 CAN 每拍负担分离")
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d = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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ap.add_argument("--nocan", default=os.path.join(d, "lab", "ecat_rate_sweep_nocan.csv"))
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ap.add_argument("--withcan", default=os.path.join(d, "lab", "ecat_rate_sweep_withcan.csv"))
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ap.add_argument("--out", default=None)
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a = ap.parse_args()
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no, wc = load(a.nocan), load(a.withcan)
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common = sorted(set(no) & set(wc), reverse=True)
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out = a.out or os.path.splitext(a.nocan)[0] + "_vs.png"
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fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(13.0, 5.2))
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fig.suptitle("每拍负担分离：拔掉 CAN 之后，速度上限由谁决定", fontsize=13)
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# 只取两侧 wkc 都达预期的档位：从站停报后 load_perm 会保留**残值**
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# （实测楔死后仍报 99.2%），留在图里会被当成真数据、把 Δ 趋势带歪。
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healthy = [t for t in common if no[t]["wkc_ok"] and wc[t]["wkc_ok"]]
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dropped = [t for t in common if t not in healthy]
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T = [t for t in healthy if no[t]["load"] is not None and wc[t]["load"] is not None]
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if not T:
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raise SystemExit("两文件没有可对比的公共档位（且均需有效负载读数）")
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Hz = [1000.0 / t for t in T]
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ax1.plot(Hz, [wc[t]["load"] for t in T], "o-", color="#d62728", lw=2,
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label="带 CAN（电机在报 STATUS/CONFIG）")
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ax1.plot(Hz, [no[t]["load"] for t in T], "s-", color="#1f77b4", lw=2,
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label="拔掉全部 CAN 设备")
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for t, h in zip(T, Hz):
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ax1.annotate(f"Δ={wc[t]['load'] - no[t]['load']:.1f}pp", (h, no[t]["load"]),
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textcoords="offset points", xytext=(0, -14), ha="center", fontsize=8)
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ax1.axhline(100, ls=":", color="k", lw=1)
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ax1.set_xscale("log"); ax1.set_ylim(0, 112)
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ax1.set_xlabel("循环率 (Hz)"); ax1.set_ylabel("load_perm (%)")
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ax1.set_title("从站每拍负担（load_perm 口径，非整机 CPU）")
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ax1.legend(fontsize=8, loc="upper left"); ax1.grid(alpha=0.3)
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ax2.plot(Hz, [wc[t]["skip"] for t in T], "o-", color="#d62728", lw=2, label="带 CAN")
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ax2.plot(Hz, [no[t]["skip"] for t in T], "s-", color="#1f77b4", lw=2, label="无 CAN")
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ax2.set_xscale("log"); ax2.set_yscale("symlog", linthresh=1)
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ax2.set_xlabel("循环率 (Hz)"); ax2.set_ylabel("skip_total (次/s)")
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ax2.set_title("主站错拍率：CAN 有无对节拍精度的影响")
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ax2.legend(fontsize=8, loc="upper left"); ax2.grid(alpha=0.3)
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fig.tight_layout(rect=(0, 0, 1, 0.94))
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fig.savefig(out, bbox_inches="tight")
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print(f"对比图 -> {out}\n")
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print(f"{'周期':>7} {'循环率':>8} {'带CAN':>8} {'无CAN':>8} {'Δpp':>7} {'带CAN skip':>11} {'无CAN skip':>11}")
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for t in T:
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print(f"{t:>6}ms {1000.0/t:>7.0f}Hz {wc[t]['load']:>7.1f}% {no[t]['load']:>7.1f}% "
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f"{wc[t]['load']-no[t]['load']:>6.1f} {wc[t]['skip']:>10.2f} {no[t]['skip']:>10.2f}")
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skipped = [t for t in common if t not in T]
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if skipped:
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print(f"\n排除的档位：{skipped}")
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for t in skipped:
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why = []
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if not no[t]["wkc_ok"]:
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why.append("无CAN 侧 wkc 不达预期（从站已停报，load_perm 为残值）")
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if not wc[t]["wkc_ok"]:
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why.append("带CAN 侧 wkc 不达预期")
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if no[t]["load"] is None or wc[t]["load"] is None:
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why.append("缺有效负载读数")
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print(f" {t}ms: " + "; ".join(why or ["未知"]))
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if __name__ == "__main__":
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main()
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