feat(perception): add diagnostic semantic SLAM replay

src/k1link/laboratory/execution.py

@@ -315,6 +315,7 @@ def canonical_laboratory_adapters() -> dict[str, LaboratoryAdapter]:
         "canonical.e33-worker-shadow/v1": _run_e33,
         "canonical.e35-degradation-recovery/v1": _run_e35,
         "canonical.e46j-raw-fisheye-realtime/v1": _run_e46j,
+        "experimental.e47-semantic-slam-shadow/v1": _run_e47,
     }
 
 
@@ -375,6 +376,22 @@ def _run_e46j(request: LaboratoryRunRequest) -> LaboratoryAdapterResult:
     )
 
 
+def _run_e47(request: LaboratoryRunRequest) -> LaboratoryAdapterResult:
+    from k1link.perception.semantic_slam_replay import build_semantic_slam_replay
+
+    result = build_semantic_slam_replay(
+        repository_root=request.inputs["repository_root"],
+        semantic_result_root=request.inputs["semantic_result_root"],
+        threat_result_root=request.inputs["threat_result_root"],
+        geometry_result_root=request.inputs["geometry_result_root"],
+        output_root=request.output_root,
+    )
+    return LaboratoryAdapterResult(
+        result_root=result.result_root,
+        result_id=result.result_id,
+    )
+
+
 def _validate_request(
     request: LaboratoryRunRequest,
     definition: LaboratoryExecutionDefinition,