feat: 完善 N7 智能座舱交互与控制链路

domains/seat/tests/integration/test_seat_service.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import os
 import tempfile
 import unittest
 from pathlib import Path
@@ -11,6 +12,16 @@ from cognitive_agent.infrastructure.llm.openai_responses import OpenAIIntentErro
 
 class SeatServiceIntegrationTests(unittest.TestCase):
     def setUp(self) -> None:
+        self.memory_environment = patch.dict(
+            os.environ,
+            {
+                "COGNITIVE_AGENT_DRIVER_SEAT_MEMORY_PATH": str(
+                    REPOSITORY_ROOT / "tests" / "fixtures" / "driver_seat_memory.json"
+                )
+            },
+        )
+        self.memory_environment.start()
+        self.addCleanup(self.memory_environment.stop)
         self.service = SeatDemoService(REPOSITORY_ROOT)
         self.temporary_directory = tempfile.TemporaryDirectory()
         self.addCleanup(self.temporary_directory.cleanup)
@@ -32,6 +43,26 @@ class SeatServiceIntegrationTests(unittest.TestCase):
         for event in result["trace_events"]:
             self.assertEqual(self.service.contracts.validate(event), [])
 
+    def test_explicit_legrest_height_does_not_execute_the_seat_height_axis(self) -> None:
+        result = self.service.preview_native_can(
+            "副驾腿托高度调到50%",
+            provider="local",
+            execution_mode="dry_run",
+            conversation_id="conv-legrest-height-regression",
+        )
+
+        self.assertEqual(result["status"], "succeeded")
+        actions = result["intent_ir"]["spec"]["actions"]
+        self.assertEqual(len(actions), 1)
+        self.assertEqual(actions[0]["capability"], "seat.set_legrest_height")
+        self.assertEqual(actions[0]["parameters"], {"position_pct": 50})
+        self.assertEqual(
+            result["actuator_state"]["passenger"]["position"]["legrest_height"][
+                "position_pct"
+            ],
+            50,
+        )
+
     def test_dynamic_mode_runs_until_explicit_natural_language_stop(self) -> None:
         conversation_id = "conv-dynamic-stop"
         started = self.service.process(