"""Current-road Maps projection; source ordering/freshness stays in MapTracker.""" import hashlib import json import math from dataclasses import dataclass from openpilot.starpilot.speed_limits import acceptance as acc from openpilot.starpilot.speed_limits import map_source as ms from openpilot.starpilot.speed_limits.map_source import copy_frame as copy_frame @dataclass(frozen=True) class Upcoming: observation: acc.Observation distance_m: float boundary_id: str way_id: int class MapSource: """Plannerd's map observation owner; never grants longitudinal authority.""" def __init__(self): self.tracker = ms.MapTracker() self.upcoming: Upcoming | None = None self.way_id = 0 def reset(self): self.tracker.reset() self.upcoming = None self.way_id = 0 def step(self, frame: ms.MapFrame | None, *, received: bool, now_boot_ns: int, transport_alive: bool, drive_session: str, car_fingerprint: str) -> acc.Observation: self.upcoming = None self.way_id = 0 evidence = self.tracker.step(frame, received=received, now_boot_ns=now_boot_ns, transport_alive=transport_alive) if evidence.observation.kind is acc.ObservationKind.STALE: return evidence.observation accepted = self.tracker.diagnostic(now_boot_ns=now_boot_ns).frame if (evidence.kind != 'matched_limit_unqualified' or accepted is None or accepted.way_selection != 'current' or any(type(value) is not str or not 0 < len(value) <= 256 or not value.strip() or any(ord(c) < 32 for c in value) for value in (drive_session, car_fingerprint))): # Missing speed metadata, coverage/GPS loss and ambiguous/lookahead ways # are incomplete evidence, not a new limit or regulatory absence. return acc.Observation(acc.ObservationKind.UNKNOWN) identity = hashlib.sha256(json.dumps((drive_session, car_fingerprint, accepted.producer_session, accepted.generation, accepted.source, accepted.way_id), separators=(',', ':')).encode()).hexdigest() self.way_id = accepted.way_id boundary = accepted.preview_boundary_id if (type(boundary) is str and len(boundary) == 64 and all(c in '0123456789abcdef' for c in boundary) and type(accepted.preview_speed_mps) is float and math.isfinite(accepted.preview_speed_mps) and accepted.preview_speed_mps >= 1.0 and abs(accepted.preview_speed_mps - accepted.speed_mps) > .02 and type(accepted.preview_distance_m) is float and math.isfinite(accepted.preview_distance_m) and 0 < accepted.preview_distance_m <= 500 and type(accepted.preview_way_id) is int and accepted.preview_way_id > 0): preview_identity = hashlib.sha256(f'{identity}:{boundary}'.encode()).hexdigest() observation = acc.Observation(acc.ObservationKind.VALID, acc.Candidate('map', acc.ObservationIdentity(acc.IdentityKind.GEOGRAPHIC, value=preview_identity), accepted.preview_speed_mps)) self.upcoming = Upcoming(observation, accepted.preview_distance_m, boundary, accepted.preview_way_id) return acc.Observation(acc.ObservationKind.VALID, acc.Candidate('map', acc.ObservationIdentity(acc.IdentityKind.GEOGRAPHIC, value=identity), accepted.speed_mps))