compare M4.7 threat parity by component identity
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@@ -134,10 +134,15 @@ def compare_reference_graph_to_accepted_ledgers(
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]
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if observed_camera_uncertainty != expected_camera_uncertainty:
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mismatch["camera_uncertainty"] += 1
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if [item.to_dict() for item in delivery.threats] != _array(
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threat,
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"assessments",
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):
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observed_assessments = _assessment_index(
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[item.to_dict() for item in delivery.threats],
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"graph threat assessments",
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)
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expected_assessments = _assessment_index(
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_array(threat, "assessments"),
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"accepted threat assessments",
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)
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if observed_assessments != expected_assessments:
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mismatch["threat_assessments"] += 1
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compared += 1
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if temporal_stream.readline() or threat_stream.readline():
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@@ -204,6 +209,19 @@ def _boolean(document: dict[str, object], key: str) -> bool:
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return value
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def _assessment_index(
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rows: list[dict[str, object]],
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label: str,
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) -> dict[str, dict[str, object]]:
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indexed: dict[str, dict[str, object]] = {}
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for row in rows:
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component_id = _string(row, "component_id")
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if component_id in indexed:
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raise ReferenceGraphParityError(f"{label} contains a duplicate component")
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indexed[component_id] = row
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return indexed
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__all__ = [
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"REFERENCE_GRAPH_PARITY_SCHEMA",
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"ReferenceGraphParityError",
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@@ -3,7 +3,7 @@ from __future__ import annotations
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import json
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from pathlib import Path
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from k1link.perception.contracts import LocalObstacleMap, SourceAccounting
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from k1link.perception.contracts import LocalObstacleMap, SourceAccounting, ThreatAssessment
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from k1link.perception.graph_contracts import (
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REFERENCE_GRAPH_ID_V2,
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DeliveredFrame,
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@@ -18,7 +18,7 @@ from k1link.perception.reference_graph_parity import (
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)
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def _result():
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def _result(threats: tuple[ThreatAssessment, ...] = ()):
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obstacle_map = LocalObstacleMap(
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source_id="RAVNOVES00",
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session_id="20260720T065719Z_viewer_live",
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@@ -48,7 +48,7 @@ def _result():
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reason="object-payload-delivered",
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),
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),
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deliveries=(DeliveredFrame(0, obstacle_map, ()),),
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deliveries=(DeliveredFrame(0, obstacle_map, threats),),
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queue_high_watermarks=(("detector", 1),),
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)
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@@ -119,3 +119,43 @@ def test_reference_graph_parity_reports_threat_drift(tmp_path: Path) -> None:
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assert report.accepted is False
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assert dict(report.mismatch_counts)["threat_assessments"] == 1
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def test_reference_graph_parity_treats_assessment_order_as_nonsemantic(
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tmp_path: Path,
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) -> None:
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first = {
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"schema_version": "missioncore.threat-assessment/v1",
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"assessment_id": "threat-first",
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"component_id": "component-first",
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"rig_profile_id": "rig-test",
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"corridor_profile_id": "corridor-test",
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"qualification": "unqualified",
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"relative_speed_mps": None,
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"closest_approach_m": None,
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"ttc_seconds": None,
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"corridor_intersection": "unknown",
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"decision": "unknown",
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"reason_codes": ["test-unavailable"],
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"authority": "replay-simulated",
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"physical_collision_accepted": False,
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"actuation_allowed": False,
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}
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second = {
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**first,
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"assessment_id": "threat-second",
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"component_id": "component-second",
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}
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temporal, threat = _write_ledgers(
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tmp_path,
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threat_assessments=[second, first],
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)
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report = compare_reference_graph_to_accepted_ledgers(
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_result((ThreatAssessment.from_dict(first), ThreatAssessment.from_dict(second))),
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temporal_frames_path=temporal,
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threat_frames_path=threat,
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expected_frames=1,
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)
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assert report.accepted is True
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