github-actions[bot]
3dcc048299
date: 2026-06-19T21:43:27 master commit: 5d90689776fdc7a3be31fc1335003aee20a2ba62
239 lines
8.7 KiB
Python
239 lines
8.7 KiB
Python
#!/usr/bin/env python3
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import argparse
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from collections.abc import Iterable
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from pathlib import Path
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import numpy as np
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from cereal import log
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from openpilot.selfdrive.locationd.curvatured import CurvatureDLookup
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from openpilot.tools.lib.logreader import LogReader, ReadMode
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def speed_label(speed_idx: int) -> str:
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speed_kph = CurvatureDLookup.SPEED_ANCHORS[speed_idx] * 3.6
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return f"{speed_kph:.0f} km/h"
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def curvature_bucket_label(curvature_idx: int) -> str:
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low = CurvatureDLookup.CURVATURE_BUCKET_EDGES[curvature_idx]
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high = CurvatureDLookup.CURVATURE_BUCKET_EDGES[curvature_idx + 1]
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return f"{low:.2e} .. {high:.2e}"
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def iter_param_entries(init_data) -> Iterable:
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params = getattr(init_data, "params", None)
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if params is None:
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return []
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entries = getattr(params, "entries", None)
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if entries is None:
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return []
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return entries
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def decode_cached_param(init_data):
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for entry in iter_param_entries(init_data):
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if getattr(entry, "key", None) != "LiveCurvatureParameters":
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continue
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raw_value = bytes(entry.value)
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result = {
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"byte_len": len(raw_value),
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"decoded": None,
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"error": None,
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"redacted": False,
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}
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if len(raw_value) == 0:
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result["redacted"] = True
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return result
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try:
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with log.Event.from_bytes(raw_value) as evt:
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result["decoded"] = evt.liveCurvatureParameters
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except Exception as e:
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result["error"] = repr(e)
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return result
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return None
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def message_summary(msg) -> dict:
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payload = msg.liveCurvatureParameters
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return {
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"valid": bool(msg.valid),
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"live_valid": bool(payload.liveValid),
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"version": int(payload.version),
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"use_params": bool(payload.useParams),
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"cal_perc": int(payload.calPerc),
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"total_points": int(payload.totalBucketPoints),
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"bucket_speed": int(payload.bucketSpeed),
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"bucket_curvature": int(payload.bucketCurvature),
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"bucket_points": int(payload.currentBucketPoints),
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"current_bias": float(payload.currentBias),
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"current_correction": float(payload.currentCorrection),
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}
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def print_bucket_details(counts: np.ndarray, biases: np.ndarray, corrections: np.ndarray,
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fit_valid: np.ndarray, speed_idx: int, focus_idx: int | None = None) -> None:
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print(" buckets:")
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for curvature_idx in range(len(CurvatureDLookup.CURVATURE_BUCKET_CENTERS)):
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marker = "*" if focus_idx is not None and curvature_idx == focus_idx else " "
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bucket_range = curvature_bucket_label(curvature_idx)
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bucket_points = int(round(float(counts[speed_idx, curvature_idx])))
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bucket_bias = float(biases[speed_idx, curvature_idx])
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bucket_corr = float(corrections[speed_idx, curvature_idx])
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bucket_valid = bool(fit_valid[speed_idx, curvature_idx])
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print(
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f" {marker} idx={curvature_idx} range={bucket_range} "
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f"points={bucket_points} fitValid={bucket_valid} "
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f"bias={bucket_bias:.8f} corr={bucket_corr:.8f}"
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)
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def print_message_summary(title: str, payload) -> None:
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has_debug_arrays = len(list(payload.counts)) == CurvatureDLookup.total_size() and len(list(payload.biases)) == CurvatureDLookup.total_size()
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counts = CurvatureDLookup.unflatten_bucket(list(payload.counts)) if has_debug_arrays else np.zeros(CurvatureDLookup.bucket_shape(), dtype=np.float32)
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biases = CurvatureDLookup.unflatten_bucket(list(payload.biases)) if has_debug_arrays else np.zeros(CurvatureDLookup.bucket_shape(), dtype=np.float32)
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corrections = CurvatureDLookup.unflatten_bucket(list(payload.corrections))
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fit_valid = CurvatureDLookup.unflatten_bucket(list(payload.fitValid), dtype=bool)
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print(title)
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print(f" version: {int(payload.version)}")
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print(f" liveValid: {bool(payload.liveValid)}")
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print(f" useParams: {bool(payload.useParams)}")
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print(f" calPerc: {int(payload.calPerc)}")
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print(f" totalBucketPoints: {int(payload.totalBucketPoints)}")
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print(f" currentCorrection: {float(payload.currentCorrection):.8f}")
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print(f" currentBias: {float(payload.currentBias):.8f}")
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print(f" currentBucket: ({int(payload.bucketSpeed)}, {int(payload.bucketCurvature)})")
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if not has_debug_arrays:
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print(" debugArrays: omitted")
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speed_entries = []
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for speed_idx in range(len(CurvatureDLookup.SPEED_ANCHORS)):
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speed_counts = counts[speed_idx]
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speed_valid = CurvatureDLookup.speed_curve_valid(counts, speed_idx) if has_debug_arrays else bool(np.any(fit_valid[speed_idx]))
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valid_bucket_count = int(np.count_nonzero(speed_counts >= CurvatureDLookup.MIN_BUCKET_POINTS)) if has_debug_arrays else int(np.count_nonzero(fit_valid[speed_idx]))
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total_points = int(round(float(speed_counts.sum()))) if has_debug_arrays else int(np.count_nonzero(fit_valid[speed_idx]))
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if total_points == 0 and not speed_valid:
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continue
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best_idx = int(np.argmax(speed_counts)) if total_points > 0 else 0
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best_points = int(round(float(speed_counts[best_idx])))
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best_bias = float(biases[speed_idx, best_idx])
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best_corr = float(corrections[speed_idx, best_idx])
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best_bucket = curvature_bucket_label(best_idx)
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fit_points = int(np.count_nonzero(fit_valid[speed_idx]))
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focus_idx = best_idx
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if int(payload.bucketSpeed) == speed_idx and int(payload.bucketCurvature) >= 0:
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focus_idx = int(payload.bucketCurvature)
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speed_entries.append((speed_idx, focus_idx,
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f" {speed_label(speed_idx)}: valid={speed_valid} total={total_points} "
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f"validBuckets={valid_bucket_count} fitPoints={fit_points} "
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f"topBucket={best_idx} ({best_bucket}) points={best_points} "
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f"bias={best_bias:.8f} corr={best_corr:.8f}")
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)
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if speed_entries:
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print(" speed anchors:")
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for speed_idx, focus_idx, line in speed_entries:
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print(line)
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if has_debug_arrays:
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print_bucket_details(counts, biases, corrections, fit_valid, speed_idx, focus_idx)
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def main() -> None:
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parser = argparse.ArgumentParser(
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description="Dump liveCurvatureParameters from a route, segment, local log file, or URL using the local schema."
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)
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parser.add_argument(
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"route_or_segment_name",
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help="Route id, segment range, local rlog/qlog path, or comma URL accepted by LogReader",
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)
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parser.add_argument(
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"--segment",
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help="Optional segment selector to append to a bare route id, e.g. 0, -1, or 2:6",
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)
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parser.add_argument(
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"--mode",
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choices=[m.value for m in ReadMode],
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default=ReadMode.AUTO.value,
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help="LogReader mode: r=rlog, q=qlog, a=auto, i=auto interactive",
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)
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parser.add_argument("--limit", type=int, default=5, help="How many liveCurvatureParameters events to sample")
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args = parser.parse_args()
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target = args.route_or_segment_name.strip()
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is_local_path = Path(target).exists()
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if args.segment and not is_local_path and "://" not in target:
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selector = args.segment.strip().lstrip("/")
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if "/q" not in target and "/r" not in target and "/a" not in target and "/i" not in target:
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target = f"{target.rstrip('/')}/{selector}"
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lr = LogReader(target, default_mode=ReadMode(args.mode))
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init_data = None
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curvature_msgs = []
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valid_count = 0
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live_valid_count = 0
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for msg in lr:
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which = msg.which()
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if which == "initData" and init_data is None:
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init_data = msg.initData
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elif which == "liveCurvatureParameters":
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curvature_msgs.append(msg)
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valid_count += int(bool(msg.valid))
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live_valid_count += int(bool(msg.liveCurvatureParameters.liveValid))
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print(f"liveCurvatureParameters events: {len(curvature_msgs)}")
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if curvature_msgs:
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print(f"transport valid count: {valid_count}")
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print(f"payload liveValid count: {live_valid_count}")
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first = message_summary(curvature_msgs[0])
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last = message_summary(curvature_msgs[-1])
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print("first event:")
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for key, value in first.items():
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print(f" {key}: {value}")
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print("last event:")
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for key, value in last.items():
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print(f" {key}: {value}")
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sample_indices = np.linspace(0, len(curvature_msgs) - 1, min(args.limit, len(curvature_msgs)), dtype=int)
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printed = set()
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for idx in sample_indices:
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idx = int(idx)
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if idx in printed:
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continue
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printed.add(idx)
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print_message_summary(f"sample event #{idx}", curvature_msgs[idx].liveCurvatureParameters)
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else:
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print("No liveCurvatureParameters events found.")
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if init_data is None:
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print("No initData found.")
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return
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cached = decode_cached_param(init_data)
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if cached is None:
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print("initData: no LiveCurvatureParameters param entry found.")
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return
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print(f"initData cache bytes: {cached['byte_len']}")
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if cached["redacted"]:
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print("initData cache: redacted (DONT_LOG)")
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elif cached["decoded"] is not None:
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print_message_summary("decoded initData cache", cached["decoded"])
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else:
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print(f"initData cache decode error: {cached['error']}")
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if __name__ == "__main__":
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main()
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