Files
NODEDC_MISSION_CORE/scripts/check_stationary_bootstrap.py
DCCONSTRUCTIONS e515ab1b8c feat(planning): consolidate recorded-route localization and spatial scene
Preserve the completed teach-and-repeat laboratory stage: reference preparation, cascaded acquisition, local tracking and recovery, recording lifecycle, replay qualification, and persistent Rerun scene controls. Document the open grid-picking regression and Rerun upgrade contract. No autonomous driving or loop-closure optimization is claimed.
2026-09-21 08:47:19 +03:00

155 lines
6.3 KiB
Python

"""Frozen stationary-to-fresh functional experiment on independent archived walks."""
import argparse
import json
import platform
import shutil
import time
from pathlib import Path
import numpy as np
from k1link.artifacts import utc_now_iso
from k1link.device_plugins.xgrids_k1.planning_replay import iter_planning_events
from k1link.missions.causal_replay import digest
from k1link.missions.stationary_bootstrap import BOOTSTRAP_POLICY
from k1link.missions.stationary_replay import replay_stationary
def write(path, value):
path.write_text(json.dumps(value, indent=2, allow_nan=False))
def code_hashes():
root = Path(__file__).resolve().parents[1]
paths = [
Path(__file__).resolve(),
*sorted((root / "src/k1link/missions").glob("*.py")),
root / "src/k1link/device_plugins/xgrids_k1/planning_replay.py",
root / "src/k1link/device_plugins/xgrids_k1/planning_live.py",
root / "src/k1link/device_plugins/xgrids_k1/localization_source.py",
root / "tests/test_stationary_bootstrap.py",
]
return {str(p.relative_to(root)): digest(p) for p in paths}
def main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"--stage", choices=["prepare", "correct-entry", "wrong-region"], required=True
)
parser.add_argument("--predecessor", type=Path)
parser.add_argument("--output", type=Path, required=True)
args = parser.parse_args()
root = args.output
if args.stage == "prepare":
previous = args.predecessor
old = json.loads((previous / "manifest.json").read_text())
inputs = {**old["input_digests"], str(previous / "reference.npz"): old["reference_sha256"]}
inputs[str(previous / "manifest.json")] = digest(previous / "manifest.json")
if any(digest(Path(p)) != sha for p, sha in inputs.items()):
raise ValueError("Predecessor input digest mismatch.")
root.mkdir(parents=True, exist_ok=False)
code = code_hashes()
for name in code:
target = root / "executed-source" / name
target.parent.mkdir(parents=True, exist_ok=True)
shutil.copyfile(name, target)
a_path = next(
p
for p in old["input_digests"]
if p.endswith(".json")
and json.loads(Path(p).read_text()).get("session_id") == old["reference_session"]
)
poses = json.loads(Path(a_path).read_text())["poses"]
wrong_path = np.array([p["position"] for p in poses if 130 <= p["distance_m"] <= 155])
with np.load(old["negative_file"], allow_pickle=False) as data:
np.savez_compressed(
root / "wrong-reference.npz", reference=data["reference"], reference_path=wrong_path
)
# The old archive supplies fixed A geometry only; no previous B fitted
# transform, mask or future B pose is used as an initialization seed.
inputs[str(root / "wrong-reference.npz")] = digest(root / "wrong-reference.npz")
write(
root / "manifest.json",
dict(
schema_version="missioncore.stationary-bootstrap-probe/v1",
created_at_utc=utc_now_iso(),
created_monotonic_ns=time.monotonic_ns(),
query_raw=old["query_raw"],
query_session=old["query_session"],
reference_session=old["reference_session"],
references={
"correct-entry": str(previous / "reference.npz"),
"wrong-region": str(root / "wrong-reference.npz"),
},
input_digests=inputs,
implementation_sha256=code,
protocol=BOOTSTRAP_POLICY,
maximum_seconds=65.0,
maximum_distance_m=40.0,
expectations=dict(
correct_entry="complete search -> provisional -> three fresh consistent fits",
wrong_region="no current candidate or tracking",
freshness="all validation observations after ready; windows have disjoint IDs",
pace="original receipt clocks, 1x; no offline B heading or transform",
),
notes="Engineering qualification only. Frame continuity is unverified; "
"one pre-ready receipt gap permits a hypothesis, not a tracking result. "
"No new capture, device commands, UI changes or live activation.",
vehicle_control=False,
localization_confirmed=False,
),
)
print(json.dumps(dict(stage="prepared", output=str(root))), flush=True)
return
manifest = json.loads((root / "manifest.json").read_text())
inputs = manifest["input_digests"]
code = code_hashes()
if code != manifest["implementation_sha256"]:
raise ValueError("Implementation changed since protocol freeze.")
if any(digest(Path(p)) != sha for p, sha in inputs.items()):
raise ValueError("Source changed before replay.")
with np.load(manifest["references"][args.stage], allow_pickle=False) as data:
reference, path = data["reference"], data["reference_path"]
events = iter_planning_events(Path(manifest["query_raw"]), manifest["query_session"])
report = replay_stationary(
events,
reference,
path,
root / args.stage,
max_seconds=manifest["maximum_seconds"],
max_distance=manifest["maximum_distance_m"],
)
report.update(
input_digests=inputs,
source_integrity_verified=all(digest(Path(p)) == h for p, h in inputs.items()),
implementation_sha256=code,
code_integrity_verified=code_hashes() == code,
runtime=dict(
system=platform.system(), machine=platform.machine(), python=platform.python_version()
),
)
write(root / args.stage / "report.json", report)
print(
json.dumps(
{
k: report.get(k)
for k in (
"state",
"first_prior_s",
"first_candidate_s",
"first_tracking_s",
"transitions",
"source_integrity_verified",
"code_integrity_verified",
)
}
),
flush=True,
)
if __name__ == "__main__":
main()