mirror of
https://github.com/firestar5683/StarPilot.git
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firestar5683
718 lines
29 KiB
Python
Executable File
718 lines
29 KiB
Python
Executable File
#!/usr/bin/env python3
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import argparse
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import base64
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import io
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import os
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import math
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import json
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import pprint
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import webbrowser
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from collections import defaultdict
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from pathlib import Path
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import matplotlib.pyplot as plt
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from openpilot.tools.lib.logreader import LogReader
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from openpilot.system.hardware.hw import Paths
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def tabulate_html(rows, headers):
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builder = ["<table>", "<thead>", "<tr>"]
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for h in headers:
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builder.append(f"<th>{h}</th>")
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builder += ["</tr>", "</thead>", "<tbody>"]
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for row in rows:
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builder.append("<tr>")
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for cell in row:
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builder.append(f"<td>{cell}</td>")
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builder.append("</tr>")
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builder += ["</tbody>", "</table>"]
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return "\n".join(builder)
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def parse_log_marker(text):
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raw = text
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try:
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payload = json.loads(text)
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if isinstance(payload, dict):
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raw = payload.get("msg", text)
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except json.JSONDecodeError:
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pass
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if not isinstance(raw, str) or not raw.startswith("LONG_MANEUVER_"):
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return None
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parts = raw.split("|")
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event = parts[0].replace("LONG_MANEUVER_", "")
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fields = {}
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for p in parts[1:]:
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if "=" in p:
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k, v = p.split("=", 1)
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fields[k] = v
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return event, fields
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def extract_maneuver_intervals(msgs):
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intervals = []
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current = None
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for msg in msgs:
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which = msg.which()
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if which not in ("logMessage", "errorLogMessage"):
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continue
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text = msg.logMessage if which == "logMessage" else msg.errorLogMessage
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marker = parse_log_marker(text)
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if marker is None:
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continue
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event, fields = marker
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desc = fields.get("desc", "")
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run = int(fields.get("run", "0")) if fields.get("run", "0").isdigit() else 0
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if event == "START":
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current = {"desc": desc, "run": run, "start": msg.logMonoTime}
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elif event == "END" and current is not None:
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if not desc or desc == current["desc"]:
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intervals.append((current["desc"], current["run"], current["start"], msg.logMonoTime))
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current = None
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if current is not None:
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intervals.append((current["desc"], current["run"], current["start"], msgs[-1].logMonoTime))
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return intervals
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def format_car_params(CP):
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return pprint.pformat({k: v for k, v in CP.to_dict().items() if not k.endswith('DEPRECATED')}, indent=2)
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def is_informational_maneuver(description: str) -> bool:
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return "informational" in description.lower()
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def split_phase_suffix(description: str) -> tuple[str, str]:
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desc = description.strip()
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if desc.endswith("]") and " [" in desc:
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idx = desc.rfind(" [")
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phase = desc[idx + 2:-1].strip().lower()
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if phase in {"pedal-only", "pedal+paddle"}:
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return desc[:idx], phase
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return desc, "standard"
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def is_low_speed_stop_maneuver(description: str) -> bool:
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base_desc, _ = split_phase_suffix(description)
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return base_desc.lower().startswith("low-speed stop envelope:")
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def is_paddle_blend_probe(description: str) -> bool:
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base_desc, _ = split_phase_suffix(description)
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return base_desc.lower().startswith("paddle blend probe:")
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def is_terminal_stop_probe(description: str) -> bool:
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base_desc, _ = split_phase_suffix(description)
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return base_desc.lower().startswith("terminal stop probe:")
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def interp_scalar(x: float, xp: list[float], fp: list[float]) -> float:
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if x <= xp[0]:
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return fp[0]
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for i in range(1, len(xp)):
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if x <= xp[i]:
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x0, x1 = xp[i - 1], xp[i]
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y0, y1 = fp[i - 1], fp[i]
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if x1 == x0:
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return y1
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return y0 + (y1 - y0) * ((x - x0) / (x1 - x0))
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return fp[-1]
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def clamp(x: float, lo: float, hi: float) -> float:
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return max(lo, min(hi, x))
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def first_true_time(times: list[float], values: list[bool]) -> float | None:
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for t, v in zip(times, values, strict=True):
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if v:
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return t
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return None
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def sample_nearest(times: list[float], values: list[float], t_target: float) -> float:
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if not times:
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return 0.0
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idx = min(range(len(times)), key=lambda i: abs(times[i] - t_target))
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return values[idx]
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def integrate_distance(times: list[float], speeds: list[float], start_t: float, end_t: float | None = None) -> float:
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if len(times) < 2:
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return 0.0
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total = 0.0
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end_val = times[-1] if end_t is None else end_t
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if end_val <= start_t:
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return 0.0
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for i in range(1, len(times)):
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t0, t1 = times[i - 1], times[i]
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v0, v1 = speeds[i - 1], speeds[i]
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if t1 <= start_t:
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continue
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if t0 >= end_val:
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break
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seg_start = max(t0, start_t)
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seg_end = min(t1, end_val)
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if seg_end <= seg_start:
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continue
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dt = max(t1 - t0, 1e-3)
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alpha_start = (seg_start - t0) / dt
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alpha_end = (seg_end - t0) / dt
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vs = v0 + (v1 - v0) * alpha_start
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ve = v0 + (v1 - v0) * alpha_end
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total += 0.5 * (vs + ve) * (seg_end - seg_start)
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return total
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def extract_regen_paddle_state_from_can(msgs, t_ref_nanos: int) -> tuple[list[float], list[bool], str]:
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by_src: dict[int, list[tuple[float, bool]]] = defaultdict(list)
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for m in msgs:
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if m.which() != "can":
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continue
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t = (m.logMonoTime - t_ref_nanos) / 1e9
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for c in m.can:
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if int(c.address) != 189:
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continue
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dat = bytes(c.dat)
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if len(dat) == 0:
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continue
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# DBC: EBCMRegenPaddle.RegenPaddle is 4-bit signal at start bit 7 (motorola/big-endian), i.e. high nibble of byte 0.
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paddle_raw = (dat[0] >> 4) & 0xF
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by_src[int(c.src)].append((t, paddle_raw != 0))
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if by_src.get(128):
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samples = by_src[128]
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times = [s[0] for s in samples]
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states = [s[1] for s in samples]
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return times, states, "can src 128"
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if by_src:
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best_src = max(by_src.keys(), key=lambda s: len(by_src[s]))
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samples = by_src[best_src]
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times = [s[0] for s in samples]
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states = [s[1] for s in samples]
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return times, states, f"can src {best_src}"
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return [], [], "unavailable"
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def report(platform, route, _description, CP, ID, maneuvers):
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output_path = Path(__file__).resolve().parent / "longitudinal_reports"
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output_fn = output_path / f"{platform}_{route.replace('/', '_')}.html"
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output_path.mkdir(exist_ok=True)
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target_cross_times = defaultdict(list)
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low_speed_stop_rows = []
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paddle_blend_rows = []
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builder = [
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"<style>summary { cursor: pointer; }\n td, th { padding: 8px; } </style>\n",
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"<h1>Longitudinal maneuver report</h1>\n",
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f"<h3>{platform}</h3>\n",
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f"<h3>{route}</h3>\n",
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f"<h3>{ID.gitCommit}, {ID.gitBranch}, {ID.gitRemote}</h3>\n",
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]
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if _description is not None:
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builder.append(f"<h3>Description: {_description}</h3>\n")
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builder.append(f"<details><summary><h3 style='display: inline-block;'>CarParams</h3></summary><pre>{format_car_params(CP)}</pre></details>\n")
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builder.append('{ summary }') # to be replaced below
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for description, runs in maneuvers:
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print(f'plotting maneuver: {description}, runs: {len(runs)}')
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builder.append("<div style='border-top: 1px solid #000; margin: 20px 0;'></div>\n")
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builder.append(f"<h2>{description}</h2>\n")
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for run, msgs in enumerate(runs):
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cc_pairs = [(m.logMonoTime, m.carControl) for m in msgs if m.which() == 'carControl']
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co_pairs = [(m.logMonoTime, m.carOutput) for m in msgs if m.which() == 'carOutput']
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cs_pairs = [(m.logMonoTime, m.carState) for m in msgs if m.which() == 'carState']
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lp_pairs = [(m.logMonoTime, m.livePose) for m in msgs if m.which() == 'livePose']
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plan_pairs = [(m.logMonoTime, m.longitudinalPlan) for m in msgs if m.which() == 'longitudinalPlan']
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if not (cc_pairs and co_pairs and cs_pairs and lp_pairs and plan_pairs):
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continue
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t_carControl, carControl = zip(*cc_pairs, strict=True)
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t_carOutput, carOutput = zip(*co_pairs, strict=True)
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t_carState, carState = zip(*cs_pairs, strict=True)
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t_livePose, livePose = zip(*lp_pairs, strict=True)
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t_longitudinalPlan, longitudinalPlan = zip(*plan_pairs, strict=True)
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# make time relative seconds
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t_carControl = [(t - t_carControl[0]) / 1e9 for t in t_carControl]
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t_carOutput = [(t - t_carOutput[0]) / 1e9 for t in t_carOutput]
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t_carState = [(t - t_carState[0]) / 1e9 for t in t_carState]
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t_livePose = [(t - t_livePose[0]) / 1e9 for t in t_livePose]
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t_longitudinalPlan = [(t - t_longitudinalPlan[0]) / 1e9 for t in t_longitudinalPlan]
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# maneuver validity
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longActive = [m.longActive for m in carControl]
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maneuver_valid = all(longActive) and (not any(cs.cruiseState.standstill for cs in carState) or CP.autoResumeSng)
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_open = 'open' if maneuver_valid else ''
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title = f'Run #{int(run)+1}' + (' <span style="color: red">(invalid maneuver!)</span>' if not maneuver_valid else '')
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builder.append(f"<details {_open}><summary><h3 style='display: inline-block;'>{title}</h3></summary>\n")
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info_only = is_informational_maneuver(description)
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# get first acceleration target and first intersection
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aTarget = longitudinalPlan[0].aTarget
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target_cross_time = None
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initial_speed = carState[0].vEgo
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builder.append(f'<h3 style="font-weight: normal">Initial aTarget: {round(aTarget, 2)} m/s^2')
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# Localizer is noisy, require two consecutive 20Hz frames above threshold
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prev_crossed = False
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for t, lp in zip(t_livePose, livePose, strict=True):
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crossed = (0 < aTarget < lp.accelerationDevice.x) or (0 > aTarget > lp.accelerationDevice.x)
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if crossed and prev_crossed:
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builder.append(f', <strong>crossed in {t:.3f}s</strong>')
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target_cross_time = t
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if maneuver_valid:
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target_cross_times[description].append(t)
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break
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prev_crossed = crossed
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else:
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builder.append(', <strong>not crossed</strong>')
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builder.append('</h3>')
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builder.append(
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f'<h3 style="font-weight: normal">Initial speed: <strong>{initial_speed:.2f} m/s '
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f'({initial_speed * 2.23694:.1f} mph)</strong></h3>'
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)
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if abs(aTarget) > 1e-3:
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if aTarget < 0:
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achieved = min((lp.accelerationDevice.x for lp in livePose), default=0.0)
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ratio = achieved / aTarget if aTarget != 0 else 0.0
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est_power_kw = (CP.mass * initial_speed * abs(aTarget)) / 1000.0
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ref = " vs 70 kW reference" if CP.carName == "gm" else ""
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builder.append(
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f'<h3 style="font-weight: normal">Estimated wheel regen demand: '
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f'<strong>{est_power_kw:.1f} kW</strong>{ref}</h3>'
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)
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else:
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achieved = max((lp.accelerationDevice.x for lp in livePose), default=0.0)
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ratio = achieved / aTarget if aTarget != 0 else 0.0
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builder.append(
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f'<h3 style="font-weight: normal">Peak achieved accel: <strong>{achieved:.2f} m/s^2</strong>, '
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f'Achieved/target ratio: <strong>{ratio:.2f}</strong></h3>'
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)
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if info_only:
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builder.append('<h3 style="font-weight: normal">Result type: <strong>informational</strong> (pedal/regen authority check)</h3>')
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cc_accels = [m.actuators.accel for m in carControl]
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co_accels = [m.actuatorsOutput.accel for m in carOutput]
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cs_accels = [m.aEgo for m in carState]
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cs_speeds = [m.vEgo for m in carState]
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plan_a_targets = [m.aTarget for m in longitudinalPlan]
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if is_low_speed_stop_maneuver(description) or is_terminal_stop_probe(description):
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should_stop_t = first_true_time(t_longitudinalPlan, [m.shouldStop for m in longitudinalPlan])
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stop_threshold = 0.20
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stop_t = first_true_time(t_carState, [v <= stop_threshold for v in cs_speeds])
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stop_time = stop_t if stop_t is not None else float("nan")
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target_decel = min(plan_a_targets)
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achieved_decel = min(cs_accels)
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ratio = (abs(achieved_decel) / max(abs(target_decel), 1e-3)) if target_decel < -1e-3 else 0.0
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min_speed = min(cs_speeds) if cs_speeds else float("nan")
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final_speed = cs_speeds[-1] if cs_speeds else float("nan")
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stop_reached = bool(cs_speeds) and (min_speed <= stop_threshold)
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rollout_m = float("nan")
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if should_stop_t is not None:
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rollout_end = stop_t if stop_t is not None else t_carState[-1]
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rollout_m = integrate_distance(t_carState, cs_speeds, should_stop_t, rollout_end)
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terminal_zone = [i for i, v in enumerate(cs_speeds) if 0.20 <= v <= 2.00]
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terminal_target = float("nan")
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terminal_achieved = float("nan")
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terminal_ratio = float("nan")
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if terminal_zone:
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terminal_achieved = min(cs_accels[i] for i in terminal_zone)
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terminal_targets = [sample_nearest(t_longitudinalPlan, plan_a_targets, t_carState[i]) for i in terminal_zone]
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terminal_target = min(terminal_targets) if terminal_targets else float("nan")
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if not math.isnan(terminal_target) and terminal_target < -1e-3:
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terminal_ratio = abs(terminal_achieved) / max(abs(terminal_target), 1e-3)
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linger_s = 0.0
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for i in range(1, len(t_carState)):
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if 0.20 <= cs_speeds[i - 1] <= 1.50 and 0.20 <= cs_speeds[i] <= 1.50:
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linger_s += (t_carState[i] - t_carState[i - 1])
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init_mph = initial_speed * 2.23694
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expected_ratio_floor = interp_scalar(init_mph, [6.0, 8.0, 12.0, 16.0, 20.0], [0.38, 0.45, 0.60, 0.72, 0.82])
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ratio_deficit = max(expected_ratio_floor - ratio, 0.0)
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terminal_ratio_goal = 0.95
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terminal_deficit = 0.0 if math.isnan(terminal_ratio) else max(terminal_ratio_goal - terminal_ratio, 0.0)
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_, phase_tag = split_phase_suffix(description)
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# In paddle mode, lower regen_gain_ratio => stronger commanded decel (since accel_term_scale uses 1/gain).
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# Delta is relative to goal tracking in the terminal zone.
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suggested_paddle_gain_delta_pct = 0.0
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if phase_tag == "pedal+paddle" and (not math.isnan(terminal_ratio)):
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suggested_paddle_gain_delta_pct = clamp(100.0 * ((terminal_ratio / max(terminal_ratio_goal, 1e-3)) - 1.0), -20.0, 10.0)
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suggested_accel_min_delta = 0.0
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if (not stop_reached) or ratio_deficit > 0.03 or terminal_deficit > 0.05:
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suggested_accel_min_delta = -clamp(0.05 + 0.40 * max(ratio_deficit, terminal_deficit), 0.05, 0.35)
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rollout_excess = 0.0 if math.isnan(rollout_m) else max(rollout_m - 2.0, 0.0)
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linger_excess = max(linger_s - 2.0, 0.0)
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suggested_stop_margin_m = clamp((0.60 * rollout_excess) + (0.40 * linger_excess), 0.0, 3.0)
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suggested_stop_margin_ft = suggested_stop_margin_m * 3.28084
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if not stop_reached:
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stop_grade = "NO_STOP"
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elif ratio >= expected_ratio_floor and (math.isnan(terminal_ratio) or terminal_ratio >= terminal_ratio_goal) and (math.isnan(rollout_m) or rollout_m <= 2.0) and linger_s <= 2.0:
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stop_grade = "OK"
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elif ratio >= 0.88 * expected_ratio_floor and min_speed <= 0.35 and (math.isnan(rollout_m) or rollout_m <= 3.5) and linger_s <= 3.5:
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stop_grade = "MARGINAL"
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else:
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stop_grade = "LIMITED"
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if not stop_reached:
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if phase_tag == "pedal+paddle" and abs(suggested_paddle_gain_delta_pct) >= 1.0:
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gain_text = f" and adjust low-speed `regen_gain_ratio` by {suggested_paddle_gain_delta_pct:+.0f}%"
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else:
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gain_text = ""
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tuning_hint = (
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f"No true stop: lower low-speed `accel_min` by {abs(suggested_accel_min_delta):.2f} m/s^2"
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f"{gain_text}."
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)
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elif ratio_deficit > 0.03 or terminal_deficit > 0.05:
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if phase_tag == "pedal+paddle" and abs(suggested_paddle_gain_delta_pct) >= 1.0:
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tuning_hint = (
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f"Terminal decel deficit: adjust low-speed `regen_gain_ratio` by {suggested_paddle_gain_delta_pct:+.0f}% "
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f"(negative = stronger paddle+pedal decel) and lower low-speed `accel_min` by {abs(suggested_accel_min_delta):.2f} m/s^2."
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)
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else:
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tuning_hint = (
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f"Terminal decel deficit: lower low-speed `accel_min` by {abs(suggested_accel_min_delta):.2f} m/s^2 "
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f"(pedal-only authority path)."
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)
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elif rollout_excess > 0.0 or linger_excess > 0.0:
|
|
tuning_hint = (
|
|
f"Late-stop rollout/linger: increase `IncreasedStoppingDistance` by ~{max(suggested_stop_margin_ft, 0.5):.1f} ft "
|
|
f"(or add equivalent planner shouldStop margin)."
|
|
)
|
|
else:
|
|
tuning_hint = "Low-speed stop authority is within target; focus next on paddle-transition smoothness."
|
|
|
|
builder.append(
|
|
f'<h3 style="font-weight: normal">Low-speed stop metrics: '
|
|
f'expected ratio floor <strong>{expected_ratio_floor:.2f}</strong>, '
|
|
f'achieved ratio <strong>{ratio:.2f}</strong>, '
|
|
f'terminal ratio (0.2-2.0 m/s) <strong>{"n/a" if math.isnan(terminal_ratio) else f"{terminal_ratio:.2f}"}</strong>, '
|
|
f'linger in 0.2-1.5 m/s <strong>{linger_s:.2f}s</strong>, '
|
|
f'stop time <strong>{"n/a" if math.isnan(stop_time) else f"{stop_time:.2f}s"}</strong>, '
|
|
f'rollout after shouldStop <strong>{"n/a" if math.isnan(rollout_m) else f"{rollout_m:.2f}m"}</strong>, '
|
|
f'min speed <strong>{"n/a" if math.isnan(min_speed) else f"{min_speed:.2f} m/s"}</strong>, '
|
|
f'suggested paddle gain delta <strong>{suggested_paddle_gain_delta_pct:+.0f}%</strong>, '
|
|
f'suggested accel_min delta <strong>{suggested_accel_min_delta:.2f} m/s^2</strong>, '
|
|
f'suggested stop margin <strong>{suggested_stop_margin_ft:.1f} ft</strong>, '
|
|
f'grade <strong>{stop_grade}</strong></h3>'
|
|
)
|
|
builder.append(f'<h3 style="font-weight: normal">Tuning hint: <strong>{tuning_hint}</strong></h3>')
|
|
|
|
low_speed_stop_rows.append([
|
|
description,
|
|
phase_tag,
|
|
int(run) + 1,
|
|
round(init_mph, 1),
|
|
round(target_decel, 2),
|
|
round(achieved_decel, 2),
|
|
round(expected_ratio_floor, 2),
|
|
round(ratio, 2),
|
|
"n/a" if math.isnan(stop_time) else round(stop_time, 2),
|
|
"n/a" if math.isnan(rollout_m) else round(rollout_m, 2),
|
|
"n/a" if math.isnan(terminal_ratio) else round(terminal_ratio, 2),
|
|
round(linger_s, 2),
|
|
"n/a" if math.isnan(min_speed) else round(min_speed, 2),
|
|
round(final_speed, 2),
|
|
round(suggested_paddle_gain_delta_pct, 0),
|
|
round(suggested_accel_min_delta, 2),
|
|
round(suggested_stop_margin_ft, 1),
|
|
stop_grade,
|
|
tuning_hint,
|
|
])
|
|
|
|
if is_paddle_blend_probe(description):
|
|
regen_times, regen_states, regen_source = extract_regen_paddle_state_from_can(msgs, cs_pairs[0][0])
|
|
if not regen_states:
|
|
regen_times = list(t_carState)
|
|
regen_states = [bool(getattr(m, "regenBraking", False)) for m in carState]
|
|
regen_source = "carState.regenBraking"
|
|
edge_times = [regen_times[i] for i in range(1, len(regen_states)) if regen_states[i] != regen_states[i - 1]]
|
|
|
|
jerks = []
|
|
jerk_times = []
|
|
for i in range(1, len(livePose)):
|
|
dt = max(t_livePose[i] - t_livePose[i - 1], 1e-3)
|
|
da = livePose[i].accelerationDevice.x - livePose[i - 1].accelerationDevice.x
|
|
jerks.append(da / dt)
|
|
jerk_times.append(t_livePose[i])
|
|
|
|
edge_jerk_peaks = []
|
|
edge_cmd_steps = []
|
|
edge_out_steps = []
|
|
for edge_t in edge_times:
|
|
local_jerks = [abs(j) for tj, j in zip(jerk_times, jerks, strict=True) if abs(tj - edge_t) <= 0.5]
|
|
if local_jerks:
|
|
edge_jerk_peaks.append(max(local_jerks))
|
|
|
|
cc_pre = sample_nearest(t_carControl, cc_accels, edge_t - 0.25)
|
|
cc_post = sample_nearest(t_carControl, cc_accels, edge_t + 0.25)
|
|
edge_cmd_steps.append(abs(cc_post - cc_pre))
|
|
|
|
co_pre = sample_nearest(t_carOutput, co_accels, edge_t - 0.25)
|
|
co_post = sample_nearest(t_carOutput, co_accels, edge_t + 0.25)
|
|
edge_out_steps.append(abs(co_post - co_pre))
|
|
|
|
max_edge_jerk = max(edge_jerk_peaks) if edge_jerk_peaks else float("nan")
|
|
max_cmd_step = max(edge_cmd_steps) if edge_cmd_steps else float("nan")
|
|
max_out_step = max(edge_out_steps) if edge_out_steps else float("nan")
|
|
suggested_blend_step_reduction = 0.0
|
|
suggested_confirm_frames_add = 0
|
|
if not math.isnan(max_cmd_step) and max_cmd_step > 0.45:
|
|
suggested_blend_step_reduction = clamp((1.0 - (0.45 / max_cmd_step)) * 100.0, 0.0, 50.0)
|
|
if not math.isnan(max_edge_jerk) and max_edge_jerk > 2.5:
|
|
suggested_confirm_frames_add = int(clamp(math.ceil((max_edge_jerk - 2.5) / 0.8), 1, 3))
|
|
|
|
if len(edge_times) == 0:
|
|
blend_grade = "NO_EDGES"
|
|
elif not math.isnan(max_edge_jerk) and max_edge_jerk <= 2.5 and (math.isnan(max_cmd_step) or max_cmd_step <= 0.45):
|
|
blend_grade = "SMOOTH"
|
|
elif not math.isnan(max_edge_jerk) and max_edge_jerk <= 3.5:
|
|
blend_grade = "OK"
|
|
else:
|
|
blend_grade = "HARSH"
|
|
|
|
if blend_grade == "NO_EDGES":
|
|
blend_hint = "Probe did not toggle regen paddle; verify pedal+paddle phase was active."
|
|
elif blend_grade == "HARSH":
|
|
adjustments = []
|
|
if suggested_blend_step_reduction > 0.0:
|
|
adjustments.append(f"reduce blend step rates by ~{suggested_blend_step_reduction:.0f}%")
|
|
if suggested_confirm_frames_add > 0:
|
|
adjustments.append(f"increase press/release confirm frames by +{suggested_confirm_frames_add}")
|
|
if not adjustments:
|
|
adjustments.append("increase paddle min on/off hold by +1 frame")
|
|
blend_hint = f"Harsh paddle transitions: {', '.join(adjustments)}."
|
|
elif blend_grade == "OK":
|
|
if suggested_confirm_frames_add > 0:
|
|
blend_hint = f"Mostly stable; +{suggested_confirm_frames_add} confirm frame may remove remaining edge pulse."
|
|
else:
|
|
blend_hint = "Mostly stable; transition behavior is acceptable."
|
|
else:
|
|
blend_hint = "Transition behavior is already smooth."
|
|
|
|
builder.append(
|
|
f'<h3 style="font-weight: normal">Paddle blend metrics: '
|
|
f'edge source <strong>{regen_source}</strong>, '
|
|
f'edges <strong>{len(edge_times)}</strong>, '
|
|
f'max |jerk| near edges <strong>{"n/a" if math.isnan(max_edge_jerk) else f"{max_edge_jerk:.2f} m/s^3"}</strong>, '
|
|
f'max command step <strong>{"n/a" if math.isnan(max_cmd_step) else f"{max_cmd_step:.2f} m/s^2"}</strong>, '
|
|
f'max output step <strong>{"n/a" if math.isnan(max_out_step) else f"{max_out_step:.2f} m/s^2"}</strong>, '
|
|
f'suggested blend-step reduction <strong>{suggested_blend_step_reduction:.0f}%</strong>, '
|
|
f'suggested confirm-frame add <strong>+{suggested_confirm_frames_add}</strong>, '
|
|
f'grade <strong>{blend_grade}</strong></h3>'
|
|
)
|
|
builder.append(f'<h3 style="font-weight: normal">Tuning hint: <strong>{blend_hint}</strong></h3>')
|
|
|
|
_, phase_tag = split_phase_suffix(description)
|
|
paddle_blend_rows.append([
|
|
description,
|
|
phase_tag,
|
|
int(run) + 1,
|
|
regen_source,
|
|
len(edge_times),
|
|
"n/a" if math.isnan(max_edge_jerk) else round(max_edge_jerk, 2),
|
|
"n/a" if math.isnan(max_cmd_step) else round(max_cmd_step, 2),
|
|
"n/a" if math.isnan(max_out_step) else round(max_out_step, 2),
|
|
round(suggested_blend_step_reduction, 0),
|
|
suggested_confirm_frames_add,
|
|
blend_grade,
|
|
blend_hint,
|
|
])
|
|
|
|
pitches = [math.degrees(m.orientationNED[1]) for m in carControl]
|
|
builder.append(f'<h3 style="font-weight: normal">Average pitch: <strong>{sum(pitches) / len(pitches):0.2f} degrees</strong></h3>')
|
|
|
|
plt.rcParams['font.size'] = 40
|
|
fig = plt.figure(figsize=(30, 26))
|
|
ax = fig.subplots(4, 1, sharex=True, gridspec_kw={'height_ratios': [5, 3, 1, 1]})
|
|
|
|
ax[0].grid(linewidth=4)
|
|
ax[0].plot(t_carControl, [m.actuators.accel for m in carControl], label='carControl.actuators.accel', linewidth=6)
|
|
ax[0].plot(t_carOutput, [m.actuatorsOutput.accel for m in carOutput], label='carOutput.actuatorsOutput.accel', linewidth=6)
|
|
ax[0].plot(t_longitudinalPlan, [m.aTarget for m in longitudinalPlan], label='longitudinalPlan.aTarget', linewidth=6)
|
|
ax[0].plot(t_carState, [m.aEgo for m in carState], label='carState.aEgo', linewidth=6)
|
|
ax[0].plot(t_livePose, [m.accelerationDevice.x for m in livePose], label='livePose.accelerationDevice.x', linewidth=6)
|
|
# TODO localizer accel
|
|
ax[0].set_ylabel('Acceleration (m/s^2)')
|
|
#ax[0].set_ylim(-6.5, 6.5)
|
|
ax[0].legend(prop={'size': 30})
|
|
|
|
if target_cross_time is not None:
|
|
ax[0].plot(target_cross_time, aTarget, marker='o', markersize=50, markeredgewidth=7, markeredgecolor='black', markerfacecolor='None')
|
|
|
|
ax[1].grid(linewidth=4)
|
|
ax[1].plot(t_carState, [m.vEgo for m in carState], 'g', label='vEgo', linewidth=6)
|
|
ax[1].set_ylabel('Velocity (m/s)')
|
|
ax[1].legend()
|
|
|
|
ax[2].plot(t_carControl, longActive, label='longActive', linewidth=6)
|
|
ax[3].plot(t_carState, [m.gasPressed for m in carState], label='gasPressed', linewidth=6)
|
|
ax[3].plot(t_carState, [m.brakePressed for m in carState], label='brakePressed', linewidth=6)
|
|
for i in (2, 3):
|
|
ax[i].set_yticks([0, 1], minor=False)
|
|
ax[i].set_ylim(-1, 2)
|
|
ax[i].legend()
|
|
|
|
ax[-1].set_xlabel("Time (s)")
|
|
fig.tight_layout()
|
|
|
|
buffer = io.BytesIO()
|
|
fig.savefig(buffer, format='webp')
|
|
plt.close(fig)
|
|
buffer.seek(0)
|
|
builder.append(f"<img src='data:image/webp;base64,{base64.b64encode(buffer.getvalue()).decode()}' style='width:100%; max-width:800px;'>\n")
|
|
builder.append("</details>\n")
|
|
|
|
summary = ["<h2>Summary</h2>\n"]
|
|
cols = ['maneuver', 'type', 'crossed', 'runs', 'mean', 'min', 'max']
|
|
table = []
|
|
for description, runs in maneuvers:
|
|
times = target_cross_times[description]
|
|
row_type = 'informational' if is_informational_maneuver(description) else 'required'
|
|
l = [description, row_type, len(times), len(runs)]
|
|
if len(times):
|
|
l.extend([round(sum(times) / len(times), 2), round(min(times), 2), round(max(times), 2)])
|
|
table.append(l)
|
|
summary.append(tabulate_html(table, cols) + '\n')
|
|
|
|
if low_speed_stop_rows:
|
|
summary.append("<h3>Low-Speed Stop Envelope</h3>\n")
|
|
summary.append(
|
|
tabulate_html(
|
|
low_speed_stop_rows,
|
|
[
|
|
"maneuver",
|
|
"phase",
|
|
"run",
|
|
"initial mph",
|
|
"target decel",
|
|
"achieved decel",
|
|
"expected ratio floor",
|
|
"achieved ratio",
|
|
"time to stop (s)",
|
|
"rollout after shouldStop (m)",
|
|
"terminal ratio (0.2-2.0m/s)",
|
|
"linger 0.2-1.5m/s (s)",
|
|
"min speed (m/s)",
|
|
"final speed (m/s)",
|
|
"suggested paddle gain delta (%)",
|
|
"suggested accel_min delta",
|
|
"suggested stop margin (ft)",
|
|
"grade",
|
|
"tuning hint",
|
|
],
|
|
) + '\n'
|
|
)
|
|
|
|
if paddle_blend_rows:
|
|
summary.append("<h3>Paddle Blend Transition Probe</h3>\n")
|
|
summary.append(
|
|
tabulate_html(
|
|
paddle_blend_rows,
|
|
[
|
|
"maneuver",
|
|
"phase",
|
|
"run",
|
|
"edge source",
|
|
"regen edges",
|
|
"max |jerk| near edges (m/s^3)",
|
|
"max command step (m/s^2)",
|
|
"max output step (m/s^2)",
|
|
"suggested blend-step reduction (%)",
|
|
"suggested confirm-frame add",
|
|
"grade",
|
|
"tuning hint",
|
|
],
|
|
) + '\n'
|
|
)
|
|
|
|
sum_idx = builder.index('{ summary }')
|
|
builder[sum_idx:sum_idx + 1] = summary
|
|
|
|
with open(output_fn, "w") as f:
|
|
f.write(''.join(builder))
|
|
|
|
print(f"\nOpening report: {output_fn}\n")
|
|
webbrowser.open_new_tab(str(output_fn))
|
|
|
|
|
|
if __name__ == '__main__':
|
|
parser = argparse.ArgumentParser(description='Generate longitudinal maneuver report from route')
|
|
parser.add_argument('route', type=str, help='Route name (e.g. 00000000--5f742174be)')
|
|
parser.add_argument('description', type=str, nargs='?')
|
|
|
|
args = parser.parse_args()
|
|
|
|
if '/' in args.route or '|' in args.route:
|
|
lr = LogReader(args.route)
|
|
else:
|
|
segs = [seg for seg in os.listdir(Paths.log_root()) if args.route in seg]
|
|
lr = LogReader([os.path.join(Paths.log_root(), seg, 'rlog.zst') for seg in segs])
|
|
|
|
CP = lr.first('carParams')
|
|
ID = lr.first('initData')
|
|
platform = CP.carFingerprint
|
|
print('processing report for', platform)
|
|
|
|
maneuvers: list[tuple[str, list[list]]] = []
|
|
msgs = list(lr)
|
|
intervals = extract_maneuver_intervals(msgs)
|
|
|
|
if intervals:
|
|
grouped: dict[str, list[list]] = defaultdict(list)
|
|
for desc, _, start, end in intervals:
|
|
run_msgs = [m for m in msgs if start <= m.logMonoTime <= end]
|
|
if run_msgs:
|
|
grouped[desc].append(run_msgs)
|
|
maneuvers = list(grouped.items())
|
|
else:
|
|
# Fallback for logs generated by the original alertDebug-based implementation.
|
|
active_prev = False
|
|
description_prev = None
|
|
for msg in msgs:
|
|
if msg.which() == 'alertDebug':
|
|
active = 'Maneuver Active' in msg.alertDebug.alertText1
|
|
if active and not active_prev:
|
|
if msg.alertDebug.alertText2 == description_prev:
|
|
maneuvers[-1][1].append([])
|
|
else:
|
|
maneuvers.append((msg.alertDebug.alertText2, [[]]))
|
|
description_prev = maneuvers[-1][0]
|
|
active_prev = active
|
|
if active_prev:
|
|
maneuvers[-1][1][-1].append(msg)
|
|
|
|
report(platform, args.route, args.description, CP, ID, maneuvers)
|