fix: restore mode clicks and compose seat-aware assistant scenes
This commit is contained in:
vee
@@ -0,0 +1,235 @@
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from __future__ import annotations
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from unittest.mock import patch
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import pytest
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from cognitive_agent.application.assistant_capabilities import AssistantCapabilityCatalog
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from cognitive_agent.application.mode_profile import ModeProfileRegistry
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from cognitive_agent.application.scene_composer import normalize_scene_output
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from cognitive_agent.application.seat_service import REPOSITORY_ROOT, SeatDemoService
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from cognitive_agent.application.semantic_ir import resolve_scene_seat_scopes
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@pytest.fixture(scope="module")
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def scene_service(tmp_path_factory):
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service = SeatDemoService()
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service.artifact_root = tmp_path_factory.mktemp("scene-explicit-seat-scope")
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service.mode_profiles = ModeProfileRegistry(
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REPOSITORY_ROOT / "config" / "modes",
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user_root=tmp_path_factory.mktemp("scene-explicit-seat-user-modes"),
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)
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try:
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yield service, AssistantCapabilityCatalog(service).scene_composition_context()
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finally:
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service.close()
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def _plan(context, scopes):
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requests = []
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if "driver" in scopes:
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requests.append({
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"capability": "seat.set_driver_massage_native",
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"target_scope": "driver",
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"parameters": {"action": "mode", "mode": "relax"},
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})
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if "passenger" in scopes:
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requests.append({
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"capability": "seat.set_backrest_recline",
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"target_scope": "passenger",
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"parameters": {"position_pct": 45},
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})
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requests.append({
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"capability": "climate.set_temperature",
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"target_scope": "vehicle",
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"parameters": {"temperature_c": 24},
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})
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return normalize_scene_output({
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"requests": requests, "ambiguities": [], "confidence": 0.95,
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}, context)
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def _preview(
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scene_service, message, scopes=("driver", "passenger"), *, execution_mode="hardware",
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):
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service, context = scene_service
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with patch.object(
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service.hardware_execution, "reserve",
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side_effect=AssertionError("scene scope validation must not execute hardware"),
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):
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return service.preview_native_can(
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message,
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provider="local",
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conversation_id="conv-explicit-scene-seat-scope",
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execution_mode=execution_mode,
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vehicle_id="denza_n7",
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assistant_plan=_plan(context, scopes),
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)
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@pytest.mark.parametrize("message", (
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"构建一个主驾座椅舒适模式",
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"创建一个仅主驾舒适模式",
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"创建一个只给驾驶员坐着放松的功能模式",
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"构建一个副驾座椅舒适模式",
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"构建一个仅副驾舒适模式",
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"构建一个右前座椅舒适模式",
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"构建一个后排座椅舒适模式",
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"构建一个主驾座椅与副驾空调舒适模式",
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"构建一个主驾阅读灯与副驾座椅舒适模式",
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))
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def test_explicit_scene_seat_scope_rejects_cross_seat_plan_atomically(scene_service, message):
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result = _preview(scene_service, message)
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assert result["status"] != "succeeded"
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assert result.get("mode_profile_draft") is None
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assert result["hardware_execution_allowed"] is False
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assert result.get("command_plan") is None
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assert result.get("command_plans") == {}
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intent = result.get("intent_ir") or {}
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assert (intent.get("spec") or {}).get("actions", []) == []
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assert any("座位范围" in item["message"] for item in result["validation"])
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@pytest.mark.parametrize(("message", "scopes"), (
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("构建一个主驾座椅舒适模式", ("driver",)),
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("构建一个副驾座椅舒适模式", ("passenger",)),
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("创建一个仅主驾舒适模式", ("driver",)),
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("构建一个主驾和副驾座椅舒适模式", ("driver", "passenger")),
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("构建一个主副驾座椅舒适模式", ("driver", "passenger")),
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("构建一个云端座椅舒适模式", ("driver", "passenger")),
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("构建一个副驾空调与座椅舒适模式", ("driver", "passenger")),
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("构建一个座椅舒适与副驾阅读灯模式", ("driver", "passenger")),
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("构建一个主驾座椅与副驾空调舒适模式", ("driver",)),
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("构建一个主驾阅读灯与副驾座椅舒适模式", ("passenger",)),
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))
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def test_scene_scope_preserves_supported_targets_without_borrowing_other_device_zones(
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scene_service, message, scopes,
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):
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result = _preview(scene_service, message, scopes)
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assert result["status"] == "succeeded", result.get("validation")
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assert result["mode_profile_draft"]
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assert result["execution_mode"] == "dry_run"
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assert result["hardware_execution_allowed"] is False
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actions = result["intent_ir"]["spec"]["actions"]
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assert {
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action["target"]["instance"]
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for action in actions if action["domain"] == "seat"
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} == set(scopes)
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@pytest.mark.parametrize("message", (
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"构建一个主驾舒适模式，副驾不要动",
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"构建一个主驾舒适模式，不要动副驾",
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"构建一个舒展模式，座椅靠背调整到45%",
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))
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def test_explicit_atomic_requirements_do_not_receive_scene_scope_relaxation(
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scene_service, message,
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):
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result = _preview(scene_service, message, execution_mode="dry_run")
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assert result["status"] != "succeeded"
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assert result.get("mode_profile_draft") is None
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assert result["hardware_execution_allowed"] is False
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def test_explicit_atomic_requirements_override_label_without_adding_model_actions(scene_service):
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result = _preview(scene_service, "构建一个主驾舒适模式，副驾靠背调整到45%")
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assert result["status"] == "succeeded"
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assert result["execution_mode"] == "dry_run"
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actions = result["intent_ir"]["spec"]["actions"]
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assert len(actions) == 1
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assert actions[0]["capability"] == "seat.set_backrest_recline"
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assert actions[0]["target"]["instance"] == "passenger"
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assert actions[0]["parameters"]["position_pct"] == 45
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def test_rear_window_scene_is_not_rejected_as_an_unsupported_seat(scene_service):
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service, context = scene_service
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plan = normalize_scene_output({
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"requests": [{
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"capability": "window.set_position",
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"target_scope": "rear_right",
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"parameters": {"position_pct": 45},
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}],
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"ambiguities": [], "confidence": 0.95,
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}, context)
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result = service.preview_native_can(
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"构建一个后排换气模式", provider="local",
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conversation_id="conv-rear-window-not-seat",
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execution_mode="dry_run", vehicle_id="denza_n7", assistant_plan=plan,
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)
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assert result["status"] == "succeeded"
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assert result["mode_profile_draft"]
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@pytest.mark.parametrize(("text", "expected"), (
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("进入主驾舒适模式", frozenset({"driver"})),
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("进入仅副驾舒适模式", frozenset({"passenger"})),
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("进入主副驾座椅舒适模式", frozenset({"driver", "passenger"})),
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("进入主驾座椅与副驾的空调舒适模式", frozenset({"driver"})),
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("进入副驾座椅与主驾的阅读灯模式", frozenset({"passenger"})),
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("进入座椅舒适与右前车窗模式", None),
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("进入座椅舒适与后排阅读灯模式", None),
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("进入后排座椅舒适模式", frozenset({"unsupported"})),
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))
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def test_scene_scope_resolution_only_uses_seat_or_unqualified_scene_targets(text, expected):
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assert resolve_scene_seat_scopes(text) == expected
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def test_new_creation_cannot_borrow_draft_reference_to_bypass_explicit_scope(scene_service):
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service, context = scene_service
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built = _preview(scene_service, "构建一个主驾独享舒适模式", ("driver",))
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reference = {key: built["mode_profile_draft"][key] for key in (
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"name", "source_request_id", "vehicle_id",
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)}
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result = service.preview_native_can(
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"构建一个主驾独享舒适模式", provider="local",
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conversation_id="conv-explicit-scene-seat-scope", execution_mode="dry_run",
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vehicle_id="denza_n7", assistant_plan=_plan(context, ("driver", "passenger")),
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mode_profile_draft_context=reference,
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)
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assert result["status"] != "succeeded"
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assert not result.get("mode_profile_draft")
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@pytest.mark.parametrize(("initial_scope", "name", "change", "added_capability"), (
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("driver", "主驾释压舒适模式", "副驾座椅通风调整为1档", "seat.set_ventilation"),
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("passenger", "副驾释压舒适模式", "主驾座椅通风调整为低档", "seat.set_driver_ventilation_native"),
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))
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def test_explicit_revision_can_extend_old_label_scope_then_save_and_replay(
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scene_service, initial_scope, name, change, added_capability,
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):
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service, _context = scene_service
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built = _preview(scene_service, f"构建一个{name}", (initial_scope,))
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source_draft = built["mode_profile_draft"]
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reference = {key: source_draft[key] for key in (
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"name", "source_request_id", "vehicle_id",
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)}
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revised = service.preview_native_can(
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f"把{name}的{change}", provider="local",
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conversation_id="conv-explicit-scene-seat-scope", execution_mode="dry_run",
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vehicle_id="denza_n7", mode_profile_draft_context=reference,
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)
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assert revised["status"] == "succeeded", revised.get("validation")
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draft = revised["mode_profile_draft"]
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assert draft["generation_source"] == "draft_revision"
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assert draft["operation_count"] == source_draft["operation_count"] + 1
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actions = revised["intent_ir"]["spec"]["actions"]
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assert added_capability in {action["capability"] for action in actions}
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assert {
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action["target"]["instance"] for action in actions if action["domain"] == "seat"
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} == {"driver", "passenger"}
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saved = service.create_mode_profile_card(
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draft["name"], draft["instruction"], draft["source_request_id"], draft["vehicle_id"],
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)
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assert saved["status"] == "succeeded"
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replayed = service.execute_mode_profile_card(
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saved["mode_profile"]["id"], execution_mode="dry_run", vehicle_id="denza_n7",
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)
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assert replayed["status"] == "succeeded", replayed.get("validation")
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assert {
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(action["capability"], action["target"]["instance"])
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for action in replayed["intent_ir"]["spec"]["actions"] if action["domain"] == "seat"
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} == {
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(action["capability"], action["target"]["instance"])
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for action in actions if action["domain"] == "seat"
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}
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