feat(telemetry): add bounded native pipeline lifecycle

tests/test_e15_shadow_inference.py

@@ -371,6 +371,46 @@ def test_persistent_worker_request_is_single_run_d_backed_and_token_bounded(
         )
 
 
+def test_persistent_worker_derives_native_telemetry_from_accepted_runtime() -> None:
+    module = _module()
+    common = {
+        "live": {"source": {"source_id": "sensor.camera.right"}},
+        "stability": {"profile_id": "lab-e23-warm-worker-inline-temporal-v1"},
+        "worker_package": {"package_id": "e15-worker-package-example"},
+    }
+    request = {
+        "request_id": "physical-k1-shadow-001",
+        "telemetry": {
+            "contour_id": "worker-006",
+            "agent_id": "worker-006",
+            "node_id": "DESKTOP-OPJ8J04",
+        },
+    }
+
+    identity = module._persistent_run_telemetry_identity(common, request)
+
+    assert identity is not None
+    assert identity.lab_id == "lab-e23-warm-worker-inline-temporal-v1"
+    assert identity.run_id == "physical-k1-shadow-001"
+    assert identity.request_id == "physical-k1-shadow-001"
+    assert identity.source_id == "sensor.camera.right"
+    assert identity.source_package_id == "e15-worker-package-example"
+    assert identity.method_id == "warm-worker-inline-bounded-temporal-2d-3d-semantic/v1"
+    assert module._persistent_run_telemetry_identity(
+        common,
+        {"request_id": "legacy-request"},
+    ) is None
+
+    with pytest.raises(RuntimeError, match="telemetry identity"):
+        module._persistent_run_telemetry_identity(
+            common,
+            {
+                "request_id": "invalid-telemetry",
+                "telemetry": {"contour_id": "worker-006"},
+            },
+        )
+
+
 def test_runtime_telemetry_captures_bounded_queue_snapshots() -> None:
     module = _module()
     stream = io.StringIO()
@@ -422,3 +462,44 @@ def test_stage_execution_telemetry_measures_named_spans_without_process_claims()
         telemetry.measure("unregistered"),
     ):
         pass
+
+
+def test_stage_execution_telemetry_writes_native_frame_lifecycle() -> None:
+    module = _module()
+    published: list[dict[str, object]] = []
+
+    class Sink:
+        def publish(self, _topic: str, payload: bytes) -> None:
+            published.append(json.loads(payload))
+
+    identity = module.PipelineTelemetryIdentity(
+        contour_id="worker-006",
+        agent_id="worker-006",
+        node_id="DESKTOP-OPJ8J04",
+        lab_id="lab-e23-warm-worker-inline-temporal-v1",
+        run_id="run-001",
+        request_id="run-001",
+        source_id="sensor.camera.right",
+        source_package_id="e15-worker-package-example",
+        method_id="warm-worker-inline-bounded-temporal-2d-3d-semantic/v1",
+    )
+    telemetry = module._StageExecutionTelemetry(
+        ("detector",),
+        identity=identity,
+        sink=module._FailureIsolatingPipelineTelemetrySink(Sink()),
+    )
+
+    with telemetry.measure("detector", frame_index=42):
+        pass
+    with telemetry.measure("detector", frame_index=43):
+        pass
+
+    assert telemetry.native_events_enabled is True
+    assert [row["stage_state"] for row in published] == ["started"]
+    telemetry.finalize_native()
+    assert [row["stage_state"] for row in published] == ["started", "completed"]
+    assert [row["frame_index"] for row in published] == [42, 43]
+    assert published[-1]["payload"]["event"]["activation_count"] == 2
+
+    telemetry.finalize_native()
+    assert len(published) == 2