diff --git a/apps/web-console/app.js b/apps/web-console/app.js
index a8827bf..5c67c1a 100755
--- a/apps/web-console/app.js
+++ b/apps/web-console/app.js
@@ -60,6 +60,8 @@ const state = {
vehicleStateTurn: -1,
seatTwin: null,
seatActuatorState: {},
+ seatRenderFingerprint: "",
+ domainRenderFingerprint: "",
seatFeedbackSource: "simulated",
seatFeedbackSources: { passenger: "simulated", driver: "unavailable" },
availableSeatAxes: null,
@@ -76,6 +78,14 @@ const state = {
modeRunTimer: null,
modeHighlightTimer: null,
latestModeRefreshKey: "",
+ modeProfileSync: {
+ initialized: false,
+ inFlight: false,
+ poller: null,
+ catalogRevision: "",
+ importedCount: 0,
+ rejectedCount: 0,
+ },
modeEditor: null,
directCanCommandPending: false,
};
@@ -90,6 +100,7 @@ const apiRequest = (input, options) => window.CognitiveAgentNetwork.request(inpu
const HARDWARE_REQUEST_TIMEOUT_MS = 15 * 60 * 1000;
const REQUEST_TIMEOUT_MS = 45 * 1000;
const DEFAULT_PHYSICAL_STATE_POLL_INTERVAL_MS = 5000;
+const MODE_PROFILE_SYNC_POLL_INTERVAL_MS = 1000;
const AUTHORITATIVE_CH1_SOURCES = new Set(["physical_can_ch1", "wireless_mqtt_ch1"]);
async function apiResponseError(response) {
@@ -2025,6 +2036,7 @@ function applyTwinSceneTheme(twin) {
canvas.dataset.themeRole = role;
canvas.dataset.themeAccent = `#${palette.accent.toString(16).padStart(6, "0")}`;
}
+ twin.requestRender?.({ hotspots: false });
}
function updateTwinVehicleVisual(systems, timestamp) {
@@ -2574,6 +2586,10 @@ function configureFixedTwinSeat(THREE, model, position, role) {
return model;
}
+function requestSeatTwinRender(options = {}) {
+ state.seatTwin?.requestRender?.(options);
+}
+
function setTwinSelection(selected) {
const twin = state.seatTwin;
if (!twin) return;
@@ -2609,6 +2625,7 @@ function setTwinSelection(selected) {
twin.view.targetX = 0;
twin.view.yaw = -0.62;
renderTwinReadout();
+ requestSeatTwinRender();
}
function twinDeviceForSeat(seat, actuatorState = state.seatTwin?.actuatorState || {}) {
@@ -2734,6 +2751,7 @@ function updateSeatTwin(actuatorState) {
});
});
renderTwinReadout();
+ requestSeatTwinRender();
}
const REFERENCE_VEHICLE_ROOT = "/assets/models/byd-tang/";
@@ -4080,7 +4098,7 @@ function initSeatTwin() {
return;
}
renderer.autoClear = false;
- renderer.setPixelRatio(Math.min(window.devicePixelRatio || 1, 2));
+ renderer.setPixelRatio(Math.min(window.devicePixelRatio || 1, 1.5));
if ("outputColorSpace" in renderer) renderer.outputColorSpace = THREE.SRGBColorSpace;
else renderer.outputEncoding = THREE.sRGBEncoding;
renderer.shadowMap.enabled = true;
@@ -4218,6 +4236,15 @@ function initSeatTwin() {
view: { yaw: -0.62, pitch: 0.31, distance: 10.2, targetX: 0 },
dragging: false,
pointer: { x: 0, y: 0 },
+ animationFrame: null,
+ renderRequested: false,
+ settleFrames: 0,
+ inViewport: true,
+ hotspotsDirty: true,
+ hotspotLastLayoutAt: Number.NEGATIVE_INFINITY,
+ hotspotMetrics: new Map(),
+ hotspotElements: new Map(),
+ requestRender,
};
applyTwinSceneTheme(state.seatTwin);
window.addEventListener("cognitive-agent:module-change", () => {
@@ -4284,6 +4311,7 @@ function initSeatTwin() {
distance: 10.2,
targetX: 0,
});
+ requestRender();
}
let stageWasVisible = false;
@@ -4294,6 +4322,8 @@ function initSeatTwin() {
camera.aspect = width / height;
camera.updateProjectionMatrix();
state.seatTwin.narrowViewport = width < 600;
+ state.seatTwin.hotspotMetrics.clear();
+ requestRender({ settleFrames: 2 });
}
function synchronizeTwinViewport({ reset = false } = {}) {
@@ -4317,6 +4347,31 @@ function initSeatTwin() {
stageObserver.observe(stage);
state.seatTwin.resizeObserver = stageObserver;
}
+ if (window.IntersectionObserver) {
+ const visibilityObserver = new IntersectionObserver(([entry]) => {
+ const twin = state.seatTwin;
+ if (!twin) return;
+ twin.inViewport = Boolean(entry?.isIntersecting);
+ if (!twin.inViewport && twin.animationFrame !== null) {
+ window.cancelAnimationFrame(twin.animationFrame);
+ twin.animationFrame = null;
+ } else if (twin.inViewport) {
+ requestRender({ settleFrames: 2 });
+ }
+ }, { root: null, rootMargin: "100px" });
+ visibilityObserver.observe(stage);
+ state.seatTwin.visibilityObserver = visibilityObserver;
+ }
+ document.addEventListener("visibilitychange", () => {
+ const twin = state.seatTwin;
+ if (!twin) return;
+ if (document.visibilityState !== "visible" && twin.animationFrame !== null) {
+ window.cancelAnimationFrame(twin.animationFrame);
+ twin.animationFrame = null;
+ return;
+ }
+ requestRender({ settleFrames: 2 });
+ });
window.addEventListener("resize", scheduleViewportSync);
window.addEventListener("cognitive-agent:module-change", scheduleViewportSync);
canvas.addEventListener("webglcontextlost", (event) => {
@@ -4342,6 +4397,7 @@ function initSeatTwin() {
refreshIcons();
window.setTimeout(() => { fallback.hidden = true; }, 3200);
}
+ requestRender({ settleFrames: 8 });
});
synchronizeTwinViewport({ reset: true });
stage.addEventListener("pointerdown", (event) => {
@@ -4349,6 +4405,7 @@ function initSeatTwin() {
state.seatTwin.pointer = { x: event.clientX, y: event.clientY };
stage.setPointerCapture(event.pointerId);
stage.classList.add("dragging");
+ requestRender({ settleFrames: 2 });
});
stage.addEventListener("pointermove", (event) => {
const twin = state.seatTwin;
@@ -4358,11 +4415,13 @@ function initSeatTwin() {
twin.pointer = { x: event.clientX, y: event.clientY };
twin.view.yaw -= dx * 0.006;
twin.view.pitch = Math.max(0.12, Math.min(0.68, twin.view.pitch + dy * 0.004));
+ requestRender({ settleFrames: 2 });
});
const endDrag = () => {
if (!state.seatTwin) return;
state.seatTwin.dragging = false;
stage.classList.remove("dragging");
+ requestRender({ settleFrames: 2 });
};
stage.addEventListener("pointerup", endDrag);
stage.addEventListener("pointercancel", endDrag);
@@ -4370,6 +4429,7 @@ function initSeatTwin() {
event.preventDefault();
const twin = state.seatTwin;
twin.view.distance = Math.max(9.4, Math.min(15.2, twin.view.distance + event.deltaY * 0.006));
+ requestRender({ settleFrames: 2 });
}, { passive: false });
$("#twinReset").addEventListener("click", resetView);
$$(".twin-seat-button").forEach((button) => button.addEventListener("click", () => setTwinSelection(button.dataset.twinSeat)));
@@ -4392,7 +4452,11 @@ function initSeatTwin() {
scene.updateMatrixWorld(true);
camera.updateMatrixWorld();
Object.entries(TWIN_DEVICE_HOTSPOT_LAYOUT).forEach(([deviceId, layout]) => {
- const button = $(`[data-twin-device="${deviceId}"]`, hotspotLayer);
+ let button = twin.hotspotElements.get(deviceId);
+ if (!button?.isConnected) {
+ button = $(`[data-twin-device="${deviceId}"]`, hotspotLayer);
+ if (button) twin.hotspotElements.set(deviceId, button);
+ }
if (!button || !twinDeviceWorldAnchor(THREE, twin, deviceId, hotspotWorldAnchor)) return;
projectedHotspot.copy(hotspotWorldAnchor).project(camera);
const anchorX = (projectedHotspot.x * 0.5 + 0.5) * width;
@@ -4412,8 +4476,18 @@ function initSeatTwin() {
button.dataset.anchorSource = "projected-3d";
const label = $(".v2-twin-hotspot-label", button);
- const halfWidth = Math.max(44, (label?.offsetWidth || 94) / 2);
- const halfHeight = Math.max(20, (label?.offsetHeight || 42) / 2);
+ let metrics = twin.hotspotMetrics.get(deviceId);
+ if (!metrics || metrics.label !== label) {
+ const measuredWidth = label?.offsetWidth || 94;
+ const measuredHeight = label?.offsetHeight || 42;
+ metrics = {
+ label,
+ halfWidth: Math.max(44, measuredWidth / 2),
+ halfHeight: Math.max(20, measuredHeight / 2),
+ };
+ twin.hotspotMetrics.set(deviceId, metrics);
+ }
+ const { halfWidth, halfHeight } = metrics;
const preferredX = anchorX + layout.labelOffset[0] * offsetScale;
const preferredY = anchorY + layout.labelOffset[1] * offsetScale;
const labelX = clampLabelCoordinate(
@@ -4448,22 +4522,84 @@ function initSeatTwin() {
window.CognitiveAgentConsoleV2?.positionTwinDevicePopover?.();
}
+ function queueTwinFrame() {
+ const twin = state.seatTwin;
+ if (!twin || twin.animationFrame !== null) return;
+ if (document.visibilityState !== "visible" || twin.inViewport === false) return;
+ twin.animationFrame = window.requestAnimationFrame(animate);
+ }
+
+ function requestRender({ hotspots = true, settleFrames = 36 } = {}) {
+ const twin = state.seatTwin;
+ if (!twin) return;
+ twin.renderRequested = true;
+ twin.settleFrames = Math.max(twin.settleFrames || 0, Math.max(0, Number(settleFrames) || 0));
+ if (hotspots) twin.hotspotsDirty = true;
+ queueTwinFrame();
+ }
+
+ function twinNeedsAnimation(twin) {
+ if (twin.dragging || twin.renderRequested || twin.hotspotsDirty || twin.settleFrames > 0) {
+ return true;
+ }
+ const movingSeat = Object.values(twin.models).some((model) => (
+ Object.keys(model.positions).some(
+ (axis) => Math.abs(model.targets[axis] - model.positions[axis]) >= 0.002,
+ )
+ || Object.keys(model.angles).some(
+ (axis) => Math.abs(model.angleTargets[axis] - model.angles[axis]) >= 0.002,
+ )
+ || ["ventilation", "heating"].some((feature) => (
+ Math.abs(model.thermalTargets[feature] - model.thermalLevels[feature]) >= 0.002
+ || model.thermalTargets[feature] > 0.015
+ || model.thermalLevels[feature] > 0.015
+ ))
+ ));
+ if (movingSeat) return true;
+ const systems = twin.vehicleSystems;
+ if (!systems) return false;
+ const desiredAmbient = systems.targets.ambientPower ? systems.targets.ambientBrightness : 0;
+ const movingSystem = [
+ [systems.current.ambientBrightness, desiredAmbient],
+ [systems.current.climateLevel, systems.targets.climateLevel],
+ [systems.current.roofTransmittance, systems.targets.roofTransmittance],
+ [systems.current.roofShadePosition, systems.targets.roofShadePosition],
+ [systems.current.lowBeam, systems.targets.lowBeam],
+ [systems.current.highBeam, systems.targets.highBeam],
+ [systems.current.fogLight, systems.targets.fogLight],
+ [systems.current.turnSignal, systems.targets.turnSignal],
+ ...Object.keys(systems.current.windowPositions).map((key) => [
+ systems.current.windowPositions[key],
+ systems.targets.windowPositions[key],
+ ]),
+ ].some(([current, target]) => Math.abs(Number(target) - Number(current)) >= 0.002);
+ return movingSystem
+ || systems.targets.turnSignal > 0.015
+ || systems.targets.climateLevel > 0.015
+ || systems.airflow.level > 0.015;
+ }
+
function animate(timestamp = 0) {
const twin = state.seatTwin;
if (!twin) return;
+ twin.animationFrame = null;
+ if (document.visibilityState !== "visible" || twin.inViewport === false) return;
if (!stageHasLayout() || canvas.dataset.contextLost === "true") {
stageWasVisible = false;
- window.requestAnimationFrame(animate);
+ twin.renderRequested = true;
return;
}
if (!stageWasVisible) synchronizeTwinViewport({ reset: true });
+ let geometryChanged = false;
Object.values(twin.models).forEach((model) => {
Object.keys(model.positions).forEach((axis) => {
const delta = model.targets[axis] - model.positions[axis];
+ if (Math.abs(delta) >= 0.002) geometryChanged = true;
model.positions[axis] += Math.abs(delta) < 0.03 ? delta : delta * 0.085;
});
Object.keys(model.angles).forEach((axis) => {
const delta = model.angleTargets[axis] - model.angles[axis];
+ if (Math.abs(delta) >= 0.002) geometryChanged = true;
model.angles[axis] += Math.abs(delta) < 0.03 ? delta : delta * 0.085;
});
model.slide.position.z = (model.positions.longitudinal - 50) * 0.012;
@@ -4499,6 +4635,7 @@ function initSeatTwin() {
);
updateTwinThermalVisual(model, timestamp);
});
+ if (geometryChanged) twin.hotspotsDirty = true;
updateTwinVehicleVisual(twin.vehicleSystems, timestamp);
const { view } = twin;
// Fit the whole reference vehicle against the limiting horizontal field
@@ -4519,7 +4656,11 @@ function initSeatTwin() {
);
camera.lookAt(cameraTargetX, 1.14, -0.08);
updateReferenceWindowOutlineLayers(twin.vehicleSystems, camera);
- positionTwinDeviceHotspots();
+ if (twin.hotspotsDirty && timestamp - twin.hotspotLastLayoutAt >= 100) {
+ positionTwinDeviceHotspots();
+ twin.hotspotsDirty = false;
+ twin.hotspotLastLayoutAt = timestamp;
+ }
canvas.dataset.framing = "whole-vehicle-centered";
renderer.clear();
camera.layers.set(0);
@@ -4532,10 +4673,12 @@ function initSeatTwin() {
scene.background = sceneBackground;
camera.layers.set(0);
if (!canvas.dataset.rendered) canvas.dataset.rendered = "true";
- window.requestAnimationFrame(animate);
+ twin.renderRequested = false;
+ twin.settleFrames = Math.max(0, twin.settleFrames - 1);
+ if (twinNeedsAnimation(twin)) queueTwinFrame();
}
setTwinSelection("passenger");
- animate();
+ requestRender({ settleFrames: 48 });
}
function showToast(message) {
@@ -5114,6 +5257,10 @@ function isUserModeProfile(mode) {
return mode?.origin === "user" || mode?.deletable === true;
}
+function isN7SyncedModeProfile(mode) {
+ return mode?.origin === "n7_mqtt" || mode?.source_topic === "from_n7/scenes";
+}
+
function isDynamicModeProfile(mode) {
const behavior = String(mode?.behavior || "").trim().toLowerCase();
if (["cyclic", "dynamic"].includes(behavior)) return true;
@@ -5179,10 +5326,14 @@ function createModeGalleryCard(mode) {
heading.className = "mode-gallery-card-heading";
const name = document.createElement("strong");
name.textContent = mode.name || mode.id;
+ const sourceBadge = document.createElement("span");
+ sourceBadge.className = "mode-gallery-source-badge";
+ sourceBadge.textContent = "N7 同步";
+ sourceBadge.hidden = !isN7SyncedModeProfile(mode);
const stateLabel = document.createElement("small");
stateLabel.className = "mode-gallery-state";
stateLabel.textContent = "点击执行";
- heading.append(name, stateLabel);
+ heading.append(name, sourceBadge, stateLabel);
const description = document.createElement("span");
description.className = "mode-gallery-card-description";
description.textContent = mode.description || "整车场景联动配置";
@@ -5382,6 +5533,93 @@ function refreshModeProfileFromResult(result) {
.catch(() => {});
}
+function modeProfileSyncCount(value) {
+ const count = Number(value);
+ return Number.isFinite(count) && count >= 0 ? Math.trunc(count) : 0;
+}
+
+function primeModeProfileSyncFromRuntime(runtime) {
+ const sync = state.modeProfileSync;
+ const catalogRevision = String(
+ runtime?.mode_scene_catalog?.catalog_revision || "",
+ );
+ if (catalogRevision) sync.catalogRevision = catalogRevision;
+ if (sync.initialized) return;
+ const ingress = runtime?.vehicle_mqtt?.mode_scene_import;
+ if (!ingress || typeof ingress !== "object") return;
+ sync.importedCount = modeProfileSyncCount(ingress.imported_count);
+ sync.rejectedCount = modeProfileSyncCount(ingress.rejected_count);
+ sync.initialized = true;
+}
+
+async function checkModeProfileSync() {
+ const sync = state.modeProfileSync;
+ if (document.visibilityState === "hidden" || sync.inFlight) return;
+ sync.inFlight = true;
+ try {
+ const response = await apiRequest("/api/mode-profiles/status", {
+ cache: "no-store",
+ });
+ if (response.status === 401) {
+ window.location.replace("/login");
+ return;
+ }
+ if (!response.ok) throw await apiResponseError(response);
+ const payload = await response.json();
+ const ingress = payload?.mode_scene_ingress || {};
+ const catalogRevision = String(payload?.catalog_revision || "");
+ const importedCount = modeProfileSyncCount(ingress.imported_count);
+ const rejectedCount = modeProfileSyncCount(ingress.rejected_count);
+ if (!sync.initialized) {
+ sync.catalogRevision = catalogRevision;
+ sync.importedCount = importedCount;
+ sync.rejectedCount = rejectedCount;
+ sync.initialized = true;
+ return;
+ }
+
+ const catalogChanged = Boolean(
+ catalogRevision && catalogRevision !== sync.catalogRevision,
+ );
+ const imported = importedCount > sync.importedCount;
+ const rejected = rejectedCount > sync.rejectedCount;
+ sync.catalogRevision = catalogRevision || sync.catalogRevision;
+ sync.importedCount = importedCount;
+ sync.rejectedCount = rejectedCount;
+
+ const sceneId = String(ingress.last_scene_id || "").trim();
+ const sceneAlreadyVisible = sceneId
+ ? modeProfiles().some((mode) => String(mode?.id || "") === sceneId)
+ : false;
+ if (catalogChanged || (imported && !sceneAlreadyVisible)) {
+ await loadRuntime();
+ }
+ if (imported) {
+ if (sceneId) revealModeProfile(sceneId);
+ const sceneName = String(
+ ingress.last_result?.scene_name || sceneId || "新模式",
+ );
+ showToast(`已从 N7 同步模式卡片：${sceneName}`);
+ } else if (rejected) {
+ const reason = String(ingress.last_error || "消息格式不符合要求");
+ showToast(`N7 模式卡片导入失败：${reason}`);
+ }
+ } catch (error) {
+ console.warn("N7 mode profile synchronization check failed", error);
+ } finally {
+ sync.inFlight = false;
+ }
+}
+
+function startModeProfileSyncPolling() {
+ const sync = state.modeProfileSync;
+ window.clearInterval(sync.poller);
+ sync.poller = window.setInterval(
+ () => void checkModeProfileSync(),
+ MODE_PROFILE_SYNC_POLL_INTERVAL_MS,
+ );
+}
+
function openModeGallery() {
const backdrop = $("#modeGalleryBackdrop");
if (!backdrop) return;
@@ -6639,8 +6877,16 @@ function setModeChipsDisabled(disabled) {
});
}
+function hasExecutableModeCommandFlow(mode) {
+ const flow = mode?.command_flow;
+ if (!mode?.id || !flow || typeof flow !== "object") return false;
+ const plans = flow.plans;
+ return Boolean(flow.source_request_id)
+ || (plans && typeof plans === "object" && Object.keys(plans).length > 0);
+}
+
async function executeSavedModeProfile(mode, { command = "" } = {}) {
- if (!mode?.id || !mode?.command_flow?.source_request_id) return false;
+ if (!hasExecutableModeCommandFlow(mode)) return false;
const modeCommand = String(command || `进入${mode.name || mode.id}`).trim();
const assistant = window.CognitiveAgentAssistant;
const driverOnlyCh1 = isDriverOnlyCh1Runtime();
@@ -6747,7 +6993,7 @@ function applyModeCommand(command, modeProfileId = null) {
setModeRailSelection(mode);
closeModeGallery({ restoreFocus: false });
assistant?.open?.();
- if (mode?.command_flow?.source_request_id) {
+ if (hasExecutableModeCommandFlow(mode)) {
void executeSavedModeProfile(mode, { command: modeCommand });
return true;
}
@@ -6809,6 +7055,7 @@ async function loadRuntime() {
const response = await apiRequest("/api/runtime", { cache: "no-store" });
if (!response.ok) throw await apiResponseError(response);
state.runtime = await response.json();
+ primeModeProfileSyncFromRuntime(state.runtime);
renderControlTransport();
applyRuntimeTargetPolicy(state.runtime);
populateVehicleSelector();
@@ -7157,6 +7404,8 @@ function resetSeatState() {
function resetVehicleStatusDisplay() {
state.seatActuatorState = {};
+ state.seatRenderFingerprint = "";
+ state.domainRenderFingerprint = "";
resetSeatState();
const setText = (selector, value) => {
const element = $(selector);
@@ -7227,6 +7476,28 @@ function resetVehicleStatusDisplay() {
summarySystem.textContent = "等待状态";
summarySystem.dataset.state = "waiting";
}
+ window.dispatchEvent(new CustomEvent("cognitive-agent:vehicle-state-rendered", {
+ detail: { scope: "reset", fingerprint: "" },
+ }));
+}
+
+const VEHICLE_RENDER_VOLATILE_KEYS = new Set([
+ "age_ms",
+ "capture_sequence",
+ "captured_at",
+ "frame_timestamp",
+ "last_seen_at",
+ "observed_at",
+ "received_at",
+ "request_id",
+ "timestamp",
+ "updated_at",
+]);
+
+function vehicleRenderFingerprint(value) {
+ return JSON.stringify(value, (key, item) => (
+ VEHICLE_RENDER_VOLATILE_KEYS.has(key) ? undefined : item
+ ));
}
function mergeSeatActuatorState(previousState, patchState) {
@@ -7246,20 +7517,6 @@ function mergeSeatActuatorState(previousState, patchState) {
mergedSeat.position = mergedPosition;
return;
}
- if (feature === "dynamic_mode") {
- const item = $(`.seat-card[data-seat="${seat}"] [data-dynamic-mode]`);
- if (!item) return;
- const running = value.state === "running";
- item.classList.toggle("running", running);
- const runtimeMinutes = Number(value.max_runtime_ms || 600000) / 60000;
- const runtimeLabel = Number.isInteger(runtimeMinutes)
- ? String(runtimeMinutes)
- : runtimeMinutes.toFixed(1);
- $("b", item).textContent = running
- ? `${value.name} · 循环中 · 最长${runtimeLabel}分钟`
- : "未运行";
- return;
- }
mergedSeat[feature] = value && typeof value === "object" && !Array.isArray(value)
? { ...(previousSeat[feature] || {}), ...value }
: value;
@@ -7270,13 +7527,15 @@ function mergeSeatActuatorState(previousState, patchState) {
}
function renderSeatState(actuatorState) {
- if (!actuatorState) return;
+ if (!actuatorState) return false;
const mergedActuatorState = mergeSeatActuatorState(
state.seatActuatorState,
actuatorState,
);
+ const renderFingerprint = vehicleRenderFingerprint(mergedActuatorState);
state.seatActuatorState = mergedActuatorState;
- resetSeatState();
+ if (renderFingerprint === state.seatRenderFingerprint) return false;
+ state.seatRenderFingerprint = renderFingerprint;
Object.entries(mergedActuatorState).forEach(([seat, functions]) => {
const displayFunctions = seat === "driver"
? twinDeviceForSeat("driver", { driver: functions })
@@ -7302,6 +7561,20 @@ function renderSeatState(actuatorState) {
: "CH1 状态已同步";
return;
}
+ if (feature === "dynamic_mode") {
+ const item = $(`.seat-card[data-seat="${seat}"] [data-dynamic-mode]`);
+ if (!item) return;
+ const running = value.state === "running";
+ item.classList.toggle("running", running);
+ const runtimeMinutes = Number(value.max_runtime_ms || 600000) / 60000;
+ const runtimeLabel = Number.isInteger(runtimeMinutes)
+ ? String(runtimeMinutes)
+ : runtimeMinutes.toFixed(1);
+ $("b", item).textContent = running
+ ? `${value.name} · 循环中 · 最长${runtimeLabel}分钟`
+ : "未运行";
+ return;
+ }
if (feature === "position") {
Object.entries(value).forEach(([axis, motion]) => {
const item = $(`.seat-card[data-seat="${seat}"] [data-axis="${axis}"]`);
@@ -7335,10 +7608,17 @@ function renderSeatState(actuatorState) {
});
});
updateSeatTwin(mergedActuatorState);
+ window.dispatchEvent(new CustomEvent("cognitive-agent:vehicle-state-rendered", {
+ detail: { scope: "seat", fingerprint: renderFingerprint },
+ }));
+ return true;
}
function renderDomainState(domainState) {
- if (!domainState) return;
+ if (!domainState) return false;
+ const renderFingerprint = vehicleRenderFingerprint(domainState);
+ if (renderFingerprint === state.domainRenderFingerprint) return false;
+ state.domainRenderFingerprint = renderFingerprint;
const outletModeLabel = (value) => {
const normalized = String(value || "").toLowerCase().replaceAll("-", "_");
const matrixLabels = {
@@ -7723,6 +8003,11 @@ function renderDomainState(domainState) {
});
}
}
+ requestSeatTwinRender();
+ window.dispatchEvent(new CustomEvent("cognitive-agent:vehicle-state-rendered", {
+ detail: { scope: "domain", fingerprint: renderFingerprint },
+ }));
+ return true;
}
function renderedConfig(result) {
@@ -9041,6 +9326,15 @@ window.addEventListener("cognitive-agent:request-complete", (event) => {
setModeExecutionState(modeProfileId, succeeded ? "succeeded" : "failed");
});
+document.addEventListener("visibilitychange", () => {
+ if (document.visibilityState === "visible") void checkModeProfileSync();
+});
+
+window.addEventListener("pagehide", () => {
+ window.clearInterval(state.modeProfileSync.poller);
+ state.modeProfileSync.poller = null;
+});
+
document.addEventListener("DOMContentLoaded", async () => {
initGlassThemeToggle();
initJointTwinLayout();
@@ -9147,6 +9441,8 @@ document.addEventListener("DOMContentLoaded", async () => {
$$('[data-download]').forEach((button) => button.addEventListener("click", () => downloadArtifact(button.dataset.download)));
await loadAuthStatus();
await loadRuntime();
+ startModeProfileSyncPolling();
+ void checkModeProfileSync();
if (!isDriverOnlyCh1Runtime()) {
await loadHardwareAccessStatus({ silent: true });
state.hardwareAccessPoller = window.setInterval(
diff --git a/apps/web-console/codepen-glass-theme.css b/apps/web-console/codepen-glass-theme.css
index e50279d..8e20291 100644
--- a/apps/web-console/codepen-glass-theme.css
+++ b/apps/web-console/codepen-glass-theme.css
@@ -466,6 +466,9 @@ body.console-v2 .v2-twin-device-popover {
background: oklch(0.16 0.045 285 / 0.74) !important;
border-color: var(--glass-line-strong) !important;
box-shadow: 0 10px 28px oklch(0.04 0.035 286 / 0.32), inset 0 1px 0 var(--glass-highlight) !important;
+}
+
+body.console-v2 .v2-twin-device-popover {
-webkit-backdrop-filter: blur(14px) saturate(1.18);
backdrop-filter: blur(14px) saturate(1.18);
}
@@ -526,8 +529,6 @@ body.console-v2 .v2-pet-nfc-field output {
background: oklch(0.11 0.035 286 / 0.42) !important;
border-color: var(--glass-line-strong) !important;
box-shadow: inset 0 1px 0 oklch(1 0 0 / 0.08) !important;
- -webkit-backdrop-filter: blur(10px) saturate(1.14);
- backdrop-filter: blur(10px) saturate(1.14);
}
body.console-v2 :is(input, textarea, select):focus {
diff --git a/apps/web-console/console-v2.js b/apps/web-console/console-v2.js
index 38a5838..73be120 100644
--- a/apps/web-console/console-v2.js
+++ b/apps/web-console/console-v2.js
@@ -1265,6 +1265,7 @@
pollTimer: null,
deviceFrame: null,
deviceFingerprint: "",
+ deviceRenderDirty: true,
activeDevice: null,
pinnedDevice: null,
previewClearTimer: null,
@@ -1523,9 +1524,13 @@
`;
}
- function renderSyncedDevices() {
+ function renderSyncedDevices({ force = false } = {}) {
const grid = $("#v2DeviceSyncGrid");
- if (!grid) return;
+ if (!grid) return false;
+ if (!force && !panelVisible("devices")) {
+ displaySync.deviceRenderDirty = true;
+ return false;
+ }
grid.innerHTML = syncedDevices.map((device) => {
const rows = deviceReadoutRows(device);
const waiting = rows.some(([, value]) => value === "-");
@@ -1553,7 +1558,9 @@
$(`.v2-synced-device[data-device="${displaySync.activeDevice}"]`)?.classList.add("active");
}
displaySync.deviceFingerprint = JSON.stringify(syncedDevices.map((device) => [device.id, deviceReadoutRows(device)]));
+ displaySync.deviceRenderDirty = false;
window.lucide?.createIcons({ attrs: { "aria-hidden": "true" } });
+ return true;
}
function storeDeviceControlDraft(input) {
@@ -1641,11 +1648,17 @@
}
function scheduleSyncedDeviceRender() {
+ if (!panelVisible("devices")) {
+ displaySync.deviceRenderDirty = true;
+ return;
+ }
if (displaySync.deviceFrame) return;
displaySync.deviceFrame = requestAnimationFrame(() => {
displaySync.deviceFrame = null;
const fingerprint = JSON.stringify(syncedDevices.map((device) => [device.id, deviceReadoutRows(device)]));
- if (fingerprint === displaySync.deviceFingerprint && $("#v2DeviceSyncGrid")?.childElementCount) return;
+ if (!displaySync.deviceRenderDirty
+ && fingerprint === displaySync.deviceFingerprint
+ && $("#v2DeviceSyncGrid")?.childElementCount) return;
renderSyncedDevices();
if (displaySync.activeDevice) presentTwinDevice(displaySync.activeDevice, {
pinned: Boolean(displaySync.pinnedDevice),
@@ -1748,7 +1761,11 @@
rightRail.toggleAttribute("inert", collapsed);
rightRail.dataset.openPanels = openPanels.join(" ") || "none";
}
+ if (key === "devices" && visible) renderSyncedDevices({ force: true });
window.lucide?.createIcons({ attrs: { "aria-hidden": "true" } });
+ window.dispatchEvent(new CustomEvent("cognitive-agent:side-panel-visibility", {
+ detail: { panel: key, visible: Boolean(visible) },
+ }));
window.dispatchEvent(new Event("resize"));
}
@@ -2550,19 +2567,10 @@
}
buildTwinDeviceInteractions();
cabinBand.classList.add("v2-source-state-only");
- new MutationObserver(scheduleSyncedDeviceRender).observe(cabinBand, {
- attributes: true,
- childList: true,
- characterData: true,
- subtree: true,
- });
- const stateBand = $(".state-band");
- if (stateBand) new MutationObserver(scheduleSyncedDeviceRender).observe(stateBand, {
- attributes: true,
- childList: true,
- characterData: true,
- subtree: true,
- });
+ window.addEventListener(
+ "cognitive-agent:vehicle-state-rendered",
+ scheduleSyncedDeviceRender,
+ );
}
setSidePanelVisibility("devices", false);
setSidePanelVisibility("extensions", false);
@@ -2983,8 +2991,8 @@
});
window.addEventListener("cognitive-agent:vehicle-feedback-state", () => {
syncRuntimePresentation();
- renderSyncedDevices();
- if (displaySync.activeDevice) {
+ scheduleSyncedDeviceRender();
+ if (panelVisible("devices") && displaySync.activeDevice) {
presentTwinDevice(displaySync.activeDevice, {
pinned: Boolean(displaySync.pinnedDevice),
selectSeat: false,
diff --git a/apps/web-console/energy-monitor.js b/apps/web-console/energy-monitor.js
index b90ec29..17f5450 100644
--- a/apps/web-console/energy-monitor.js
+++ b/apps/web-console/energy-monitor.js
@@ -869,7 +869,10 @@
createLayer();
seedHistory();
renderMonitor();
- monitor.timer = window.setInterval(() => sampleNow(), SAMPLE_INTERVAL_MS);
+ monitor.timer = window.setInterval(
+ () => sampleNow({ render: monitor.open }),
+ SAMPLE_INTERVAL_MS,
+ );
document.addEventListener("keydown", captureModalKeys, true);
window.addEventListener("cognitive-agent:power-telemetry", (event) => ingestPowerTelemetry(event.detail || {}, { sample: false }));
const existingUpdater = window.updateDevicePowerTelemetry;
diff --git a/apps/web-console/index.html b/apps/web-console/index.html
index e761b18..1d9d711 100755
--- a/apps/web-console/index.html
+++ b/apps/web-console/index.html
@@ -38,14 +38,14 @@
-
+
-
-
+
+
-
+
diff --git a/apps/web-console/self-extension.js b/apps/web-console/self-extension.js
index 18c28d1..658c7f5 100644
--- a/apps/web-console/self-extension.js
+++ b/apps/web-console/self-extension.js
@@ -389,6 +389,11 @@
let selectedPetCardId = null;
const petCardDrafts = new Map();
let nfcPollTimer = null;
+ let nfcDialogFingerprint = "";
+ let nfcDialogDirty = true;
+ let unifiedExtensionFingerprint = "";
+ let unifiedExtensionDirty = true;
+ let gscuHealthFingerprint = "";
let legacySameOriginChecked = false;
let legacyMigrationCompleted = false;
const legacyBridgeAttempts = new Set();
@@ -3673,12 +3678,50 @@
return reader?.error || "请连接 NFC 读卡器并确认 CH340 / CH341 驱动可用";
}
- function renderNfcDialog() {
+ function currentNfcDialogFingerprint() {
+ return JSON.stringify({
+ revision: nfcSnapshot.revision,
+ reader: nfcSnapshot.reader,
+ card: nfcSnapshot.card,
+ petRevision: petCardSnapshot.revision,
+ pets: petCardSnapshot.cards,
+ publisher: petCardSnapshot.publisher,
+ devices: state.devices.map((device) => ({
+ id: device.id,
+ name: device.name,
+ type: device.type,
+ cardUid: device.cardUid || null,
+ })),
+ capabilities: state.capabilities.map((capability) => ({
+ id: capability.id,
+ deviceId: capability.deviceId,
+ name: capability.name,
+ aliases: capability.aliases,
+ slot: capability.slot,
+ status: capability.status,
+ verified: capability.verified,
+ enabled: capability.enabled !== false,
+ })),
+ infraredCommands: state.infraredCommands,
+ });
+ }
+
+ function renderNfcDialog({ force = false } = {}) {
+ const dialog = $("#extensionNfcDialog");
+ if (!dialog) return false;
+ if (!force && !dialog.open) {
+ nfcDialogDirty = true;
+ return false;
+ }
+ const renderFingerprint = currentNfcDialogFingerprint();
+ if (!force && !nfcDialogDirty && renderFingerprint === nfcDialogFingerprint) {
+ return false;
+ }
const stage = $("#extensionNfcStage");
const body = $("#extensionNfcBody");
const status = $("#extensionNfcReaderStatus");
const badge = $("#extensionNfcReaderBadge");
- if (!stage || !body || !status || !badge) return;
+ if (!stage || !body || !status || !badge) return false;
const reader = nfcSnapshot.reader || {};
const card = nfcSnapshot.card;
@@ -3725,7 +3768,10 @@
${capabilities.length ? `${capabilities.map((capability) => ``).join("")}
` : `该设备 ID 暂无有效命令槽位可能已删除或改绑到其他设备 ID，请重新检查红外设置。
复选框状态会持久化为自然语言执行白名单。
`;
}
+ nfcDialogFingerprint = renderFingerprint;
+ nfcDialogDirty = false;
window.lucide?.createIcons({ attrs: { "aria-hidden": "true" } });
+ return true;
}
function buildUnifiedNfcDialog() {
@@ -3891,8 +3937,8 @@
}
function openNfcDialog() {
- renderNfcDialog();
openDialog("extensionNfcDialog");
+ renderNfcDialog({ force: true });
void refreshNfcStatus();
}
@@ -3969,10 +4015,73 @@
if (!mount) return false;
let snapshot = null;
- const render = () => {
+ const extensionViewFingerprint = (health) => JSON.stringify({
+ transport: health.transport,
+ connected: health.connected,
+ peerConnected: health.peer_connected,
+ peer: health.peer,
+ listening: health.listening,
+ message: health.message,
+ extensionCatalog: (snapshot?.extension?.catalog || []).map((item) => ({
+ id: item.id,
+ deviceId: item.device_id,
+ deviceName: item.device_name,
+ deviceType: item.device_type,
+ typeLabel: item.type_label,
+ action: item.action,
+ name: item.name,
+ cardUid: item.card_uid,
+ status: item.status,
+ enabled: item.enabled,
+ })),
+ lastAction: snapshot?.extension?.last_action ? {
+ command: snapshot.extension.last_action.command,
+ type: snapshot.extension.last_action.type,
+ } : null,
+ lastResult: snapshot?.extension?.result ? {
+ status: snapshot.extension.result.status,
+ message: snapshot.extension.result.message,
+ } : null,
+ nfc: {
+ revision: nfcSnapshot.revision,
+ reader: nfcSnapshot.reader,
+ card: nfcSnapshot.card,
+ },
+ pets: petCardSnapshot,
+ localDevices: state.devices.map((device) => ({
+ id: device.id,
+ name: device.name,
+ type: device.type,
+ cardUid: device.cardUid || null,
+ })),
+ localCapabilities: state.capabilities.map((capability) => ({
+ id: capability.id,
+ deviceId: capability.deviceId,
+ name: capability.name,
+ slot: capability.slot,
+ status: capability.status,
+ verified: capability.verified,
+ enabled: capability.enabled !== false,
+ })),
+ infraredCommands: state.infraredCommands,
+ });
+
+ const render = ({ force = false } = {}) => {
const health = snapshot?.extension_health || {};
healthState = health;
- if ($("#extensionGscuTcpDialog")?.open) renderGscuTcpDialog(health, false);
+ const nextGscuHealthFingerprint = JSON.stringify({
+ transport: health.transport,
+ connected: health.connected,
+ peerConnected: health.peer_connected,
+ peer: health.peer,
+ listening: health.listening,
+ message: health.message,
+ });
+ if ($("#extensionGscuTcpDialog")?.open
+ && (force || nextGscuHealthFingerprint !== gscuHealthFingerprint)) {
+ renderGscuTcpDialog(health, false);
+ }
+ gscuHealthFingerprint = nextGscuHealthFingerprint;
const embeddedNfc = health.nfc;
if (nfcSnapshot.revision < 0 && embeddedNfc) {
nfcSnapshot = {
@@ -3989,6 +4098,16 @@
}
}
if (health.pet_cards) applyPetCardSnapshot(health.pet_cards, { render: false });
+ const panel = mount.closest("#v2ExtensionPanel");
+ if (!force && (panel?.hidden || panel?.classList.contains("is-collapsed"))) {
+ unifiedExtensionDirty = true;
+ return false;
+ }
+ const renderFingerprint = extensionViewFingerprint(health);
+ if (!force
+ && !unifiedExtensionDirty
+ && renderFingerprint === unifiedExtensionFingerprint
+ && mount.childElementCount) return false;
const physicalConnected = health.transport !== "simulation"
&& Boolean(health.connected || health.peer_connected);
const listening = Boolean(health.listening);
@@ -4114,7 +4233,10 @@
最近联动${escapeHtml(visibleLastAction?.command || visibleLastAction?.type || "等待 NFC 外设感应")}
${escapeHtml(visibleLastAction ? (lastResult?.status || lastResult?.message || "STANDBY") : "STANDBY")}
`;
+ unifiedExtensionFingerprint = renderFingerprint;
+ unifiedExtensionDirty = false;
window.lucide?.createIcons({ attrs: { "aria-hidden": "true" } });
+ return true;
};
renderUnifiedExtensionView = render;
@@ -4125,6 +4247,11 @@
}
render();
});
+ window.addEventListener("cognitive-agent:side-panel-visibility", (event) => {
+ if (event.detail?.panel === "extensions" && event.detail?.visible) {
+ render({ force: true });
+ }
+ });
buildDialogs();
buildUnifiedNfcDialog();
bindUnifiedNfcEvents(mount);
diff --git a/apps/web-console/service-worker.js b/apps/web-console/service-worker.js
index ceb00e9..e864fb1 100644
--- a/apps/web-console/service-worker.js
+++ b/apps/web-console/service-worker.js
@@ -1,4 +1,4 @@
-const CACHE_VERSION = "cognitive-agent-pad-v317-nfc-auth-routing";
+const CACHE_VERSION = "cognitive-agent-pad-v321-n7-dispatch";
const SHELL_CACHE = `${CACHE_VERSION}-shell`;
const RUNTIME_CACHE = `${CACHE_VERSION}-runtime`;
const APP_SHELL = [
@@ -6,22 +6,22 @@ const APP_SHELL = [
"/index.html",
"/styles.css?v=dual-seat-23",
"/network.js?v=android-pad-2",
- "/app.js?v=dual-seat-141",
+ "/app.js?v=dual-seat-145-n7-dispatch",
"/gesture-control.js?v=android-pad-9",
"/pwa.js?v=android-pad-3",
"/console-v2.css?v=delivery-state-69",
- "/console-v2.js?v=local-first-76",
+ "/console-v2.js?v=local-first-77-performance",
"/self-extension.css?v=pet-settings-52",
- "/self-extension.js?v=pet-settings-52",
+ "/self-extension.js?v=pet-settings-53-performance",
"/speech-input.css?v=sensevoice-7",
"/speech-input.js?v=sensevoice-13",
"/speech-audio-worklet.js?v=sensevoice-5",
"/assistant-chat.css?v=codex-assistant-29",
"/assistant-chat.js?v=codex-assistant-34",
"/energy-monitor.css?v=energy-monitor-4",
- "/energy-monitor.js?v=energy-monitor-4",
+ "/energy-monitor.js?v=energy-monitor-5-performance",
"/ui-consistency.css?v=spatial-ui-8",
- "/codepen-glass-theme.css?v=creative-cloud-5",
+ "/codepen-glass-theme.css?v=creative-cloud-6-performance",
"/vue-ui.js?v=vue-presentation-3",
"/assets/pets/self-extension-cat.png?v=3",
"/assets/pets/self-extension-cat-entrance.png?v=3",
diff --git a/apps/web-console/styles.css b/apps/web-console/styles.css
index ddfd2da..e46fe65 100755
--- a/apps/web-console/styles.css
+++ b/apps/web-console/styles.css
@@ -724,6 +724,22 @@ body.mode-editor-open {
font-weight: 700;
}
+.mode-gallery-source-badge {
+ flex: 0 0 auto;
+ padding: 2px 5px;
+ color: #315eb8;
+ background: rgba(91, 132, 222, 0.14);
+ border: 1px solid rgba(91, 132, 222, 0.24);
+ border-radius: 999px;
+ font-size: 7px;
+ font-weight: 800;
+ line-height: 1;
+}
+
+.mode-gallery-source-badge[hidden] {
+ display: none;
+}
+
.mode-gallery-card-description,
.mode-gallery-card-meta {
overflow: hidden;
diff --git a/domains/seat/src/seat_domain/validator.py b/domains/seat/src/seat_domain/validator.py
index 65cdd55..5276dfc 100755
--- a/domains/seat/src/seat_domain/validator.py
+++ b/domains/seat/src/seat_domain/validator.py
@@ -40,7 +40,20 @@ def validate_semantics(
for index, deferred in enumerate(parsed.get("deferred_requests", [])):
domain = str(deferred.get("domain"))
capability = str(deferred.get("capability"))
- if domain not in detected_domains or not capability.startswith(f"{domain}."):
+ # An N7-synchronised scene may use a vehicle-owned capability namespace
+ # that intentionally differs from its routing domain (for example
+ # ``domain=local_vehicle`` with ``capability=local_scene.seat_preset``).
+ # It is not executed by this validator's local backend: the original
+ # action is forwarded unchanged to ``transto_n7/ctl``. Keep the strict
+ # namespace check for every ordinary deferred request, while allowing
+ # this explicitly marked transfer backend to retain the source contract.
+ n7_transfer = (
+ deferred.get("execution_backend") == "n7_vehicle_transfer"
+ and deferred.get("rejection_code") == "PC_CAPABILITY_UNAVAILABLE"
+ )
+ if domain not in detected_domains or (
+ not n7_transfer and not capability.startswith(f"{domain}.")
+ ):
issues.append(
{
"severity": "error",
diff --git a/src/cognitive_agent/application/assistant_capabilities.py b/src/cognitive_agent/application/assistant_capabilities.py
index 5b48cf4..f084f92 100644
--- a/src/cognitive_agent/application/assistant_capabilities.py
+++ b/src/cognitive_agent/application/assistant_capabilities.py
@@ -2225,8 +2225,24 @@ class AssistantCapabilityCatalog:
operations = _safe_mode_operations(
[item for item in requests if isinstance(item, Mapping)]
)
- callable_mode = bool(operation_ids) and all(
- capability_id in callable_capabilities for capability_id in operation_ids
+ n7_transfer_operation_ids = [
+ capability_id
+ for capability_id in operation_ids
+ if capability_id not in callable_capabilities
+ ]
+ command_flow = raw.get("command_flow")
+ command_plans = (
+ command_flow.get("plans")
+ if isinstance(command_flow, Mapping)
+ else None
+ )
+ n7_transfer_ready = (
+ raw.get("source_topic") == "from_n7/scenes"
+ and isinstance(command_plans, Mapping)
+ and bool(command_plans)
+ )
+ callable_mode = bool(operation_ids) and (
+ not n7_transfer_operation_ids or n7_transfer_ready
)
modes.append(
{
@@ -2240,6 +2256,9 @@ class AssistantCapabilityCatalog:
"operation_ids": operation_ids,
"operations": operations,
"assistant_callable": callable_mode,
+ "n7_transfer_operation_ids": (
+ n7_transfer_operation_ids if n7_transfer_ready else []
+ ),
"all_operations_have_native_binding": bool(operation_ids)
and all(
capability_id in native_capabilities for capability_id in operation_ids
diff --git a/src/cognitive_agent/application/mode_profile.py b/src/cognitive_agent/application/mode_profile.py
index 2f0648b..4dcc597 100644
--- a/src/cognitive_agent/application/mode_profile.py
+++ b/src/cognitive_agent/application/mode_profile.py
@@ -14,8 +14,31 @@ from typing import Any
import yaml
_MATCH_FORMATTING = re.compile(r"[\s（）()]+")
+_MODE_INVOCATION_FORMATTING = re.compile(r"[\s，。！？,.!?：:；;（）()]+")
_NON_ASCII_SLUG = re.compile(r"[^a-z0-9]+")
_MODE_ID = re.compile(r"^[a-z0-9][a-z0-9_-]{0,63}$")
+_EXACT_MODE_INVOCATION_PREFIXES = (
+ "",
+ "进入",
+ "执行",
+ "执行一下",
+ "开始",
+ "开始执行",
+ "启动",
+ "打开",
+ "切换到",
+ "切换进入",
+ "请进入",
+ "请执行",
+ "请执行一下",
+ "请启动",
+ "请打开",
+ "帮我进入",
+ "帮我执行",
+ "请帮我进入",
+ "请帮我执行",
+)
+_EXACT_MODE_INVOCATION_SUFFIXES = ("", "吧", "一下", "试试")
_MODE_REFERENCE_VERBS = (
"切换进入",
"切换到",
@@ -79,6 +102,34 @@ def _normalize_match_text(value: str) -> str:
return _MATCH_FORMATTING.sub("", value.casefold())
+def _exact_mode_invocation_matches(
+ utterance: str,
+ candidates: list[object],
+) -> bool:
+ """Accept a synchronized card only as the complete control intent.
+
+ N7 can legitimately name a card ``影院模式`` while the same words are a
+ parameter of another capability (for example an ambient-light mode). A
+ synchronized card therefore uses an exact, bounded invocation grammar
+ rather than ordinary substring matching.
+ """
+
+ compact = _MODE_INVOCATION_FORMATTING.sub("", str(utterance)).casefold()
+ if not compact:
+ return False
+ invocations = {
+ _MODE_INVOCATION_FORMATTING.sub(
+ "",
+ f"{prefix}{candidate}{suffix}",
+ ).casefold()
+ for candidate in candidates
+ if str(candidate).strip()
+ for prefix in _EXACT_MODE_INVOCATION_PREFIXES
+ for suffix in _EXACT_MODE_INVOCATION_SUFFIXES
+ }
+ return compact in invocations
+
+
def _mode_candidate_matches(utterance: str, candidate: object) -> bool:
"""Match a mode reference without treating device nouns as mode aliases.
@@ -156,6 +207,20 @@ def _clean_command_flow(value: Any) -> dict[str, Any] | None:
return json.loads(encoded)
+def _clean_sync_origin(value: Any) -> str:
+ cleaned = str(value or "").strip()
+ if cleaned not in {"", "from_n7/scenes"}:
+ raise ValueError("mode sync_origin is not supported")
+ return cleaned
+
+
+def _clean_upstream_origin(value: Any) -> str:
+ cleaned = str(value or "").strip()
+ if len(cleaned) > 64:
+ raise ValueError("mode upstream_origin must be at most 64 characters")
+ return cleaned
+
+
def _mode_aliases(name: str, aliases: list[str] | None = None) -> list[str]:
values = [name, *(aliases or [])]
if name.endswith("模式") and len(name) > 2:
@@ -451,6 +516,8 @@ class ModeProfile:
user_defined: bool = False
instruction: str = ""
command_flow: dict[str, Any] | None = None
+ sync_origin: str = ""
+ upstream_origin: str = ""
@classmethod
def from_yaml(cls, path: Path, profile_root: Path | None = None) -> "ModeProfile":
@@ -487,6 +554,10 @@ class ModeProfile:
user_defined=_is_user_profile_path(path, profile_root),
instruction=_clean_instruction(document.get("instruction", "")),
command_flow=_clean_command_flow(document.get("command_flow")),
+ sync_origin=_clean_sync_origin(document.get("sync_origin")),
+ upstream_origin=_clean_upstream_origin(
+ document.get("upstream_origin")
+ ),
)
def public_dict(self) -> dict[str, Any]:
@@ -508,11 +579,20 @@ class ModeProfile:
"vehicle_ids": list(self.vehicle_ids),
},
"behavior": "cyclic" if is_cyclic else "static",
- "origin": "user" if self.user_defined else "preset",
+ "origin": (
+ "n7_mqtt"
+ if self.sync_origin == "from_n7/scenes"
+ else "user"
+ if self.user_defined
+ else "preset"
+ ),
"deletable": self.user_defined,
"instruction": self.instruction,
"command_flow": self.command_flow,
}
+ if self.sync_origin:
+ result["source_topic"] = self.sync_origin
+ result["upstream_origin"] = self.upstream_origin or None
if self.timeline is not None:
result["timeline"] = self.timeline.public_dict()
return result
@@ -588,7 +668,11 @@ class ModeProfileRegistry:
public = []
for profile in profiles:
item = profile.public_dict()
- if profile.user_defined and profile.id in preset_ids:
+ if (
+ profile.user_defined
+ and profile.id in preset_ids
+ and not profile.sync_origin
+ ):
item["origin"] = "customized"
item["preset_override"] = True
public.append(item)
@@ -628,6 +712,19 @@ class ModeProfileRegistry:
matched_ids: set[str] = set()
for profile in self._visible_candidates_for_vehicle(vehicle_id):
candidates = [profile.id, profile.name, *profile.aliases]
+ effective_profile = selected[profile.id]
+ if (
+ effective_profile.sync_origin == "from_n7/scenes"
+ and not _exact_mode_invocation_matches(
+ utterance,
+ [
+ effective_profile.id,
+ effective_profile.name,
+ *effective_profile.aliases,
+ ],
+ )
+ ):
+ continue
if any(
candidate and _mode_candidate_matches(haystack, candidate)
for candidate in candidates
@@ -635,7 +732,7 @@ class ModeProfileRegistry:
if profile.id in matched_ids:
continue
matched_ids.add(profile.id)
- matches.append(selected[profile.id])
+ matches.append(effective_profile)
return matches
def resolve_exact_name(
@@ -684,6 +781,8 @@ class ModeProfileRegistry:
"timeline": profile.timeline.to_yaml() if profile.timeline is not None else None,
"instruction": profile.instruction,
"command_flow": profile.command_flow,
+ "sync_origin": profile.sync_origin,
+ "upstream_origin": profile.upstream_origin,
}
canonical = json.dumps(
document,
@@ -714,6 +813,8 @@ class ModeProfileRegistry:
instruction: str = "",
command_flow: dict[str, Any] | None = None,
timeline: ModeTimeline | None = None,
+ sync_origin: str = "",
+ upstream_origin: str = "",
expected_revision: str | None = None,
create_only: bool = False,
) -> ModeProfile:
@@ -729,6 +830,8 @@ class ModeProfileRegistry:
profile_id = _clean_mode_id(mode_id or _slugify_mode_id(clean_name))
clean_instruction = _clean_instruction(instruction)
clean_command_flow = _clean_command_flow(command_flow)
+ clean_sync_origin = _clean_sync_origin(sync_origin)
+ clean_upstream_origin = _clean_upstream_origin(upstream_origin)
scope = (
{"vehicle_ids": [vehicle_id]}
if vehicle_id
@@ -751,6 +854,9 @@ class ModeProfileRegistry:
document["command_flow"] = clean_command_flow
if timeline is not None:
document["timeline"] = timeline.to_yaml()
+ if clean_sync_origin:
+ document["sync_origin"] = clean_sync_origin
+ document["upstream_origin"] = clean_upstream_origin
path = (
self.user_root / "vehicles" / vehicle_id / "user" / f"{profile_id}.yaml"
if vehicle_id
@@ -891,6 +997,8 @@ class ModeProfileRegistry:
instruction=profile.instruction,
command_flow=profile.command_flow,
timeline=profile.timeline,
+ sync_origin=profile.sync_origin,
+ upstream_origin=profile.upstream_origin,
)
backup_path = _initial_backup_path(Path(updated.source))
if not backup_path.exists():
@@ -1024,6 +1132,9 @@ def _mode_profile_document(
document["instruction"] = profile.instruction
if profile.command_flow is not None:
document["command_flow"] = profile.command_flow
+ if profile.sync_origin:
+ document["sync_origin"] = profile.sync_origin
+ document["upstream_origin"] = profile.upstream_origin
return document
diff --git a/src/cognitive_agent/application/mode_scene_catalog.py b/src/cognitive_agent/application/mode_scene_catalog.py
index a4d72ce..ff0f626 100644
--- a/src/cognitive_agent/application/mode_scene_catalog.py
+++ b/src/cognitive_agent/application/mode_scene_catalog.py
@@ -242,11 +242,41 @@ def _scene_from_profile(
public_profile: dict[str, Any],
) -> dict[str, Any]:
effective_operations = _effective_scene_operations(profile)
+ source_scene = (
+ profile.command_flow.get("source_scene")
+ if profile.sync_origin == "from_n7/scenes"
+ and isinstance(profile.command_flow, dict)
+ else None
+ )
+ source_actions = (
+ source_scene.get("actions")
+ if isinstance(source_scene, dict)
+ and isinstance(source_scene.get("actions"), list)
+ else None
+ )
+ actions = (
+ deepcopy(source_actions)
+ if source_actions is not None
+ and len(source_actions) == len(effective_operations)
+ else [
+ _scene_action(
+ operation,
+ target=target,
+ operation_ref=operation_ref,
+ )
+ for operation, target, operation_ref in effective_operations
+ ]
+ )
scene = {
"id": profile.id,
"label": profile.name,
"name": profile.name,
- "background_time": _background_time(profile),
+ "background_time": (
+ str(source_scene.get("background_time") or "").strip()
+ if isinstance(source_scene, dict)
+ else ""
+ )
+ or _background_time(profile),
"description": profile.description,
"icon": profile.icon,
"aliases": list(profile.aliases),
@@ -257,19 +287,15 @@ def _scene_from_profile(
"operation_count": len(effective_operations),
"scope": deepcopy(public_profile.get("scope") or {}),
"profile_revision": registry.profile_revision(profile),
- "actions": [
- _scene_action(
- operation,
- target=target,
- operation_ref=operation_ref,
- )
- for operation, target, operation_ref in effective_operations
- ],
+ "actions": actions,
}
if public_profile.get("preset_override") is True:
scene["preset_override"] = True
if profile.timeline is not None:
scene["timeline"] = profile.timeline.public_dict()
+ if profile.sync_origin:
+ scene["source_topic"] = profile.sync_origin
+ scene["upstream_origin"] = profile.upstream_origin or None
return scene
diff --git a/src/cognitive_agent/application/mode_scene_ingress.py b/src/cognitive_agent/application/mode_scene_ingress.py
new file mode 100644
index 0000000..b1bde78
--- /dev/null
+++ b/src/cognitive_agent/application/mode_scene_ingress.py
@@ -0,0 +1,449 @@
+"""Validate and persist N7-originated mode cards outside the MQTT callback."""
+
+from __future__ import annotations
+
+import hashlib
+import json
+import queue
+import re
+import threading
+import time
+from collections.abc import Callable, Mapping
+from copy import deepcopy
+from datetime import UTC, datetime
+from typing import Any
+
+from cognitive_agent.infrastructure.can.gateway import CanGatewayError
+from cognitive_agent.infrastructure.can.mqtt_transport import (
+ MQTT_MODE_SCENE_INGRESS_TOPIC,
+ MQTT_MODE_SCENE_MAX_PAYLOAD_BYTES,
+ mqtt_mode_scene_payload,
+)
+
+
+DEFAULT_MODE_SCENE_INGRESS_QUEUE_SIZE = 32
+DEFAULT_MODE_SCENE_DEDUPLICATION_WINDOW_S = 5.0
+MAX_MODE_SCENE_ACTIONS = 256
+MAX_MODE_SCENE_AT_MS = 24 * 60 * 60 * 1000
+_MODE_ID_PATTERN = re.compile(r"^[a-z0-9][a-z0-9_-]{0,63}$")
+
+
+class ModeSceneIngressError(ValueError):
+ """Raised when an inbound ``from_n7/scenes`` card is not safe to import."""
+
+
+def _timestamp() -> str:
+ return datetime.now(UTC).isoformat(timespec="milliseconds").replace("+00:00", "Z")
+
+
+def _json_object_without_duplicate_keys(
+ pairs: list[tuple[str, Any]],
+) -> dict[str, Any]:
+ result: dict[str, Any] = {}
+ for key, value in pairs:
+ if key in result:
+ raise ModeSceneIngressError(
+ f"from_n7/scenes contains duplicate key: {key}"
+ )
+ result[key] = value
+ return result
+
+
+def _required_text(
+ value: Any,
+ *,
+ field: str,
+ maximum: int,
+) -> str:
+ if not isinstance(value, str):
+ raise ModeSceneIngressError(f"from_n7/scenes {field} must be text")
+ cleaned = value.strip()
+ if not cleaned or len(cleaned) > maximum:
+ raise ModeSceneIngressError(
+ f"from_n7/scenes {field} must contain between 1 and {maximum} characters"
+ )
+ return cleaned
+
+
+def parse_mode_scene_ingress_payload(raw_payload: bytes | str) -> dict[str, Any]:
+ """Parse one card using the exact outbound scene contract plus hard limits."""
+
+ if isinstance(raw_payload, bytes):
+ encoded = raw_payload
+ try:
+ text = raw_payload.decode("utf-8")
+ except UnicodeDecodeError as exc:
+ raise ModeSceneIngressError(
+ "from_n7/scenes payload must be UTF-8 JSON"
+ ) from exc
+ elif isinstance(raw_payload, str):
+ text = raw_payload
+ encoded = raw_payload.encode("utf-8")
+ else:
+ raise ModeSceneIngressError(
+ "from_n7/scenes payload must be UTF-8 JSON"
+ )
+ if not encoded or len(encoded) > MQTT_MODE_SCENE_MAX_PAYLOAD_BYTES:
+ raise ModeSceneIngressError(
+ "from_n7/scenes payload must contain 1-512 KiB"
+ )
+
+ try:
+ scene = json.loads(
+ text,
+ object_pairs_hook=_json_object_without_duplicate_keys,
+ )
+ except ModeSceneIngressError:
+ raise
+ except (json.JSONDecodeError, TypeError, ValueError) as exc:
+ raise ModeSceneIngressError(
+ "from_n7/scenes payload must be valid JSON"
+ ) from exc
+ if not isinstance(scene, Mapping):
+ raise ModeSceneIngressError(
+ "from_n7/scenes payload must contain one scene object"
+ )
+ try:
+ mqtt_mode_scene_payload(scene)
+ except CanGatewayError as exc:
+ raise ModeSceneIngressError(str(exc)) from exc
+
+ normalized = deepcopy(dict(scene))
+ scene_id = _required_text(
+ normalized.get("id"), field="id", maximum=64
+ )
+ if not _MODE_ID_PATTERN.fullmatch(scene_id):
+ raise ModeSceneIngressError(
+ "from_n7/scenes id must use lowercase letters, numbers, underscores, or hyphens"
+ )
+ normalized["id"] = scene_id
+ normalized["name"] = _required_text(
+ normalized.get("name"), field="name", maximum=64
+ )
+ normalized["label"] = _required_text(
+ normalized.get("label"), field="label", maximum=64
+ )
+ normalized["icon"] = _required_text(
+ normalized.get("icon"), field="icon", maximum=64
+ )
+ normalized["background_time"] = _required_text(
+ normalized.get("background_time"),
+ field="background_time",
+ maximum=32,
+ )
+ normalized["origin"] = _required_text(
+ normalized.get("origin"), field="origin", maximum=64
+ )
+ normalized["behavior"] = _required_text(
+ normalized.get("behavior"), field="behavior", maximum=32
+ )
+ normalized["profile_revision"] = _required_text(
+ normalized.get("profile_revision"),
+ field="profile_revision",
+ maximum=128,
+ )
+ if not isinstance(normalized.get("deletable"), bool):
+ raise ModeSceneIngressError(
+ "from_n7/scenes deletable must be boolean"
+ )
+ description = normalized.get("description")
+ if not isinstance(description, str) or len(description) > 500:
+ raise ModeSceneIngressError(
+ "from_n7/scenes description must be text with at most 500 characters"
+ )
+ aliases = normalized.get("aliases")
+ if (
+ not isinstance(aliases, list)
+ or len(aliases) > 64
+ or any(
+ not isinstance(alias, str)
+ or not alias.strip()
+ or len(alias.strip()) > 64
+ for alias in aliases
+ )
+ ):
+ raise ModeSceneIngressError(
+ "from_n7/scenes aliases must contain at most 64 non-empty text values"
+ )
+ normalized["aliases"] = [alias.strip() for alias in aliases]
+ domains = normalized.get("domains")
+ if (
+ not isinstance(domains, list)
+ or not 1 <= len(domains) <= 64
+ or any(
+ not isinstance(domain, str)
+ or not domain.strip()
+ or len(domain.strip()) > 64
+ for domain in domains
+ )
+ ):
+ raise ModeSceneIngressError(
+ "from_n7/scenes domains must contain 1-64 non-empty text values"
+ )
+ normalized["domains"] = [domain.strip() for domain in domains]
+
+ scope = normalized.get("scope")
+ if not isinstance(scope, Mapping):
+ raise ModeSceneIngressError("from_n7/scenes scope must be an object")
+ vehicle_ids = scope.get("vehicle_ids", [])
+ if "common" in scope and not isinstance(scope.get("common"), bool):
+ raise ModeSceneIngressError(
+ "from_n7/scenes scope.common must be boolean"
+ )
+ if not isinstance(vehicle_ids, list) or len(vehicle_ids) > 64 or any(
+ not isinstance(vehicle_id, str)
+ or not vehicle_id.strip()
+ or len(vehicle_id.strip()) > 64
+ for vehicle_id in vehicle_ids
+ ):
+ raise ModeSceneIngressError(
+ "from_n7/scenes scope.vehicle_ids must be an array of vehicle ids"
+ )
+
+ actions = normalized.get("actions")
+ if not isinstance(actions, list) or not 1 <= len(actions) <= MAX_MODE_SCENE_ACTIONS:
+ raise ModeSceneIngressError(
+ f"from_n7/scenes actions must contain 1-{MAX_MODE_SCENE_ACTIONS} items"
+ )
+ for index, action in enumerate(actions):
+ if not isinstance(action, Mapping):
+ raise ModeSceneIngressError(
+ f"from_n7/scenes action {index} must be an object"
+ )
+ at_ms = action.get("at_ms")
+ if (
+ isinstance(at_ms, bool)
+ or not isinstance(at_ms, int)
+ or not 0 <= at_ms <= MAX_MODE_SCENE_AT_MS
+ ):
+ raise ModeSceneIngressError(
+ f"from_n7/scenes action {index} at_ms must be in range 0-{MAX_MODE_SCENE_AT_MS}"
+ )
+ for field, maximum in (
+ ("type", 64),
+ ("domain", 64),
+ ("capability", 128),
+ ("target_scope", 128),
+ ("operation", 64),
+ ):
+ action[field] = _required_text(
+ action.get(field),
+ field=f"actions[{index}].{field}",
+ maximum=maximum,
+ )
+ if not isinstance(action.get("parameters"), Mapping):
+ raise ModeSceneIngressError(
+ f"from_n7/scenes action {index} parameters must be an object"
+ )
+ target = action.get("target")
+ if target is not None and not isinstance(target, Mapping):
+ raise ModeSceneIngressError(
+ f"from_n7/scenes action {index} target must be an object"
+ )
+ operation_ref = action.get("operation_ref")
+ if operation_ref is not None and (
+ not isinstance(operation_ref, str)
+ or not operation_ref.strip()
+ or len(operation_ref.strip()) > 128
+ ):
+ raise ModeSceneIngressError(
+ f"from_n7/scenes action {index} operation_ref must be non-empty text"
+ )
+ return normalized
+
+
+class ModeSceneIngressConsumer:
+ """Deduplicate and persist inbound cards on one bounded worker thread."""
+
+ def __init__(
+ self,
+ importer: Callable[[Mapping[str, Any]], Mapping[str, Any]],
+ *,
+ queue_size: int = DEFAULT_MODE_SCENE_INGRESS_QUEUE_SIZE,
+ deduplication_window_s: float = DEFAULT_MODE_SCENE_DEDUPLICATION_WINDOW_S,
+ ) -> None:
+ if queue_size <= 0:
+ raise ValueError("queue_size must be greater than zero")
+ if deduplication_window_s <= 0:
+ raise ValueError("deduplication_window_s must be greater than zero")
+ self._importer = importer
+ self._queue: queue.Queue[tuple[bytes, float, str]] = queue.Queue(queue_size)
+ self._deduplication_window_s = float(deduplication_window_s)
+ self._recent_digests: dict[str, float] = {}
+ self._lock = threading.RLock()
+ self._stop = threading.Event()
+ self._thread: threading.Thread | None = None
+ self._status: dict[str, Any] = {
+ "state": "stopped",
+ "topic": MQTT_MODE_SCENE_INGRESS_TOPIC,
+ "received_count": 0,
+ "processed_count": 0,
+ "imported_count": 0,
+ "duplicate_count": 0,
+ "rejected_count": 0,
+ "last_scene_id": None,
+ "last_received_at": None,
+ "last_completed_at": None,
+ "last_latency_ms": None,
+ "last_result": None,
+ "last_error": None,
+ }
+
+ def start(self) -> None:
+ if self._thread and self._thread.is_alive():
+ return
+ self._stop.clear()
+ with self._lock:
+ self._status.update(state="waiting", last_error=None)
+ self._thread = threading.Thread(
+ target=self._run,
+ name="n7-mode-scene-ingress",
+ daemon=True,
+ )
+ self._thread.start()
+
+ def close(self) -> None:
+ self._stop.set()
+ thread = self._thread
+ if thread and thread.is_alive():
+ thread.join(timeout=2.0)
+ self._thread = None
+ with self._lock:
+ self._status["state"] = "stopped"
+
+ def submit(self, raw_payload: bytes) -> None:
+ """Queue broker bytes immediately; parsing and disk I/O happen later."""
+
+ if self._stop.is_set():
+ raise RuntimeError("mode scene ingress consumer is stopped")
+ payload = bytes(raw_payload)
+ if not payload or len(payload) > MQTT_MODE_SCENE_MAX_PAYLOAD_BYTES:
+ raise ModeSceneIngressError(
+ "from_n7/scenes payload must contain 1-512 KiB"
+ )
+ received_at = _timestamp()
+ try:
+ self._queue.put_nowait((payload, time.monotonic(), received_at))
+ except queue.Full as exc:
+ with self._lock:
+ self._status.update(
+ state="queue_full",
+ last_error="from_n7/scenes queue is full",
+ )
+ raise RuntimeError("from_n7/scenes queue is full") from exc
+ with self._lock:
+ self._status.update(
+ state="queued",
+ received_count=int(self._status["received_count"]) + 1,
+ last_received_at=received_at,
+ last_error=None,
+ )
+
+ def snapshot(self) -> dict[str, Any]:
+ with self._lock:
+ return {
+ **deepcopy(self._status),
+ "queue_depth": self._queue.qsize(),
+ "queue_capacity": self._queue.maxsize,
+ "deduplication_window_ms": round(
+ self._deduplication_window_s * 1000
+ ),
+ }
+
+ def _is_duplicate(self, digest: str, now: float) -> bool:
+ cutoff = now - self._deduplication_window_s
+ self._recent_digests = {
+ key: observed_at
+ for key, observed_at in self._recent_digests.items()
+ if observed_at >= cutoff
+ }
+ previous = self._recent_digests.get(digest)
+ return previous is not None and previous >= cutoff
+
+ def _process(self, item: tuple[bytes, float, str]) -> None:
+ raw_payload, received_monotonic, received_at = item
+ with self._lock:
+ self._status.update(
+ state="validating",
+ last_received_at=received_at,
+ last_error=None,
+ )
+ try:
+ scene = parse_mode_scene_ingress_payload(raw_payload)
+ canonical = json.dumps(
+ scene,
+ ensure_ascii=False,
+ sort_keys=True,
+ separators=(",", ":"),
+ allow_nan=False,
+ )
+ digest = hashlib.sha256(canonical.encode("utf-8")).hexdigest()
+ now = time.monotonic()
+ with self._lock:
+ duplicate = self._is_duplicate(digest, now)
+ if duplicate:
+ with self._lock:
+ self._status.update(
+ state="duplicate_ignored",
+ processed_count=int(self._status["processed_count"]) + 1,
+ duplicate_count=int(self._status["duplicate_count"]) + 1,
+ last_scene_id=scene["id"],
+ last_completed_at=_timestamp(),
+ last_latency_ms=round(
+ max(0.0, now - received_monotonic) * 1000
+ ),
+ last_error=None,
+ )
+ return
+ result = self._importer(deepcopy(scene))
+ if not isinstance(result, Mapping):
+ raise TypeError("mode scene importer returned an invalid result")
+ with self._lock:
+ self._recent_digests[digest] = time.monotonic()
+ except Exception as exc: # noqa: BLE001 - reject one card, keep worker alive
+ with self._lock:
+ self._status.update(
+ state="rejected",
+ processed_count=int(self._status["processed_count"]) + 1,
+ rejected_count=int(self._status["rejected_count"]) + 1,
+ last_completed_at=_timestamp(),
+ last_latency_ms=round(
+ max(0.0, time.monotonic() - received_monotonic) * 1000
+ ),
+ last_result=None,
+ last_error=str(exc)[:240],
+ )
+ return
+
+ with self._lock:
+ self._status.update(
+ state="imported",
+ processed_count=int(self._status["processed_count"]) + 1,
+ imported_count=int(self._status["imported_count"]) + 1,
+ last_scene_id=scene["id"],
+ last_completed_at=_timestamp(),
+ last_latency_ms=round(
+ max(0.0, time.monotonic() - received_monotonic) * 1000
+ ),
+ last_result=deepcopy(dict(result)),
+ last_error=None,
+ )
+
+ def _run(self) -> None:
+ while not self._stop.is_set():
+ try:
+ item = self._queue.get(timeout=0.1)
+ except queue.Empty:
+ continue
+ try:
+ self._process(item)
+ finally:
+ self._queue.task_done()
+ with self._lock:
+ if self._queue.empty() and self._status["state"] in {
+ "imported",
+ "duplicate_ignored",
+ }:
+ # Keep the outcome visible while accurately reporting that
+ # the worker is ready for the next broker message.
+ self._status["worker_state"] = "waiting"
diff --git a/src/cognitive_agent/application/seat_service.py b/src/cognitive_agent/application/seat_service.py
index 17ce329..e632c27 100755
--- a/src/cognitive_agent/application/seat_service.py
+++ b/src/cognitive_agent/application/seat_service.py
@@ -2,14 +2,16 @@
from __future__ import annotations
+import hashlib
import json
import os
import re
import sys
+import threading
import time
import uuid
from collections import Counter
-from collections.abc import Callable
+from collections.abc import Callable, Mapping
from concurrent.futures import ThreadPoolExecutor
from copy import deepcopy
from datetime import UTC, datetime
@@ -50,6 +52,10 @@ from cognitive_agent.application.domain_runtime import ConfiguredDomainRuntime
from cognitive_agent.application.mode_profile import ( # noqa: E402
ModeProfile,
ModeProfileRegistry,
+ ModeTimeline,
+)
+from cognitive_agent.application.mode_scene_ingress import ( # noqa: E402
+ ModeSceneIngressConsumer,
)
from cognitive_agent.application.mode_scene_catalog import ( # noqa: E402
DEFAULT_N7_SCENE_SERVER_ID,
@@ -130,7 +136,9 @@ from cognitive_agent.infrastructure.can.hardware import ( # noqa: E402
VehicleMqttSettings,
)
from cognitive_agent.infrastructure.can.mqtt_transport import ( # noqa: E402
+ MQTT_MODE_SCENE_INGRESS_TOPIC,
MQTT_MODE_SCENE_TOPIC,
+ MQTT_N7_CONTROL_TRANSFER_TOPIC,
MqttCanTransport,
)
from cognitive_agent.infrastructure.llm.openai_responses import ( # noqa: E402
@@ -446,6 +454,14 @@ class SeatDemoService:
lambda scene: self._vehicle_mqtt_transport.publish_mode_scene(scene),
topic=MQTT_MODE_SCENE_TOPIC,
)
+ self._mode_scene_ingress = ModeSceneIngressConsumer(
+ self.import_n7_mode_scene,
+ )
+ self._vehicle_mqtt_transport.set_mode_scene_ingress_handler(
+ self._mode_scene_ingress.submit
+ )
+ self._n7_transfer_lock = threading.RLock()
+ self._n7_transfer_publications: dict[str, float] = {}
self.scene_templates = SceneTemplateRegistry(
repository_root / "config" / "scene_templates"
)
@@ -546,6 +562,18 @@ class SeatDemoService:
def mode_scene_catalog_status(self) -> dict[str, Any]:
return deepcopy(self._mode_scene_catalog_status)
+ def mode_profile_sync_status(self) -> dict[str, Any]:
+ """Return the lightweight state used by the browser's scene watcher."""
+
+ catalog = self.mode_scene_catalog_status()
+ return {
+ "catalog_revision": catalog.get("catalog_revision"),
+ "scene_count": int(catalog.get("scene_count") or 0),
+ "catalog_state": str(catalog.get("state") or "unknown"),
+ "catalog_error": catalog.get("last_error"),
+ "mode_scene_ingress": self._mode_scene_ingress.snapshot(),
+ }
+
def publish_saved_mode_scene(
self,
mode_id: str,
@@ -591,6 +619,142 @@ class SeatDemoService:
return self.publish_saved_mode_scene(mode_id, vehicle_id)
+ @staticmethod
+ def _imported_scene_function_configs(
+ scene: dict[str, Any],
+ ) -> dict[str, dict[str, Any]]:
+ """Retain only local peripheral metadata needed for later authorization."""
+
+ extension_operations: list[dict[str, Any]] = []
+ for index, action in enumerate(scene.get("actions", [])):
+ if (
+ not isinstance(action, dict)
+ or action.get("domain") != "self_extension"
+ or action.get("capability") != "infrared.emit"
+ ):
+ continue
+ target = action.get("target")
+ target_document = (
+ deepcopy(target)
+ if isinstance(target, dict)
+ else {"device": str(action.get("target_scope") or "")}
+ )
+ extension_operations.append(
+ {
+ "id": str(action.get("operation_ref") or f"n7-ir-{index + 1}"),
+ "domain": "self_extension",
+ "capability": "infrared.emit",
+ "target_scope": str(action.get("target_scope") or ""),
+ "target": target_document,
+ "operation": str(action.get("operation") or "emit"),
+ "parameters": deepcopy(dict(action.get("parameters") or {})),
+ "parse_source": "from_n7_scene",
+ }
+ )
+ if not extension_operations:
+ return {}
+ return {
+ "self_extension": {
+ "apiVersion": "cognitive-agent.io/v1alpha1",
+ "kind": "FunctionConfig",
+ "metadata": {
+ "id": f"from-n7-{scene['id']}-self-extension",
+ "name": f"{scene['name']} imported infrared actions",
+ "labels": {"source_topic": MQTT_MODE_SCENE_INGRESS_TOPIC},
+ },
+ "spec": {
+ "domain": "self_extension",
+ "operations": extension_operations,
+ },
+ }
+ }
+
+ def import_n7_mode_scene(
+ self,
+ scene: Mapping[str, Any],
+ ) -> dict[str, Any]:
+ """Upsert one validated N7 card without publishing it back to the broker."""
+
+ document = deepcopy(dict(scene))
+ actions = document.get("actions")
+ if not isinstance(actions, list) or not actions:
+ raise ValueError("from_n7/scenes card must contain executable actions")
+ operations = [
+ {
+ "domain": str(action["domain"]),
+ "capability": str(action["capability"]),
+ "target_scope": str(action["target_scope"]),
+ "operation": str(action["operation"]),
+ "parameters": deepcopy(dict(action["parameters"])),
+ "reason": (
+ f"由 {MQTT_MODE_SCENE_INGRESS_TOPIC} 导入的模式动作。"
+ ),
+ }
+ for action in actions
+ ]
+ timeline = None
+ raw_timeline = document.get("timeline")
+ if raw_timeline is not None:
+ if not isinstance(raw_timeline, dict):
+ raise ValueError("from_n7/scenes timeline must be an object")
+ timeline = ModeTimeline.from_dict(raw_timeline)
+ command_flow = {
+ "schema": "cognitive-agent-mode-command-flow/v1",
+ "source_topic": MQTT_MODE_SCENE_INGRESS_TOPIC,
+ "imported_at": _now(),
+ "source_scene": document,
+ "function_configs": self._imported_scene_function_configs(document),
+ # The execution path recompiles the canonical ModeOperation list
+ # against this PC's capability registry. This marker makes the
+ # card directly executable while avoiding trust in foreign CAN bytes.
+ "plans": {
+ "from_n7_scene": {
+ "spec": {
+ "commands": [
+ {
+ "operation_ref": str(
+ action.get("operation_ref") or f"action-{index + 1}"
+ ),
+ "at_ms": int(action.get("at_ms", 0)),
+ }
+ for index, action in enumerate(actions)
+ ]
+ }
+ }
+ },
+ "execution_steps": [],
+ }
+ scope = document.get("scope") or {}
+ vehicle_ids = scope.get("vehicle_ids", []) if isinstance(scope, dict) else []
+ common = bool(scope.get("common", not vehicle_ids)) if isinstance(scope, dict) else False
+ resolved_vehicle_id = (
+ None
+ if common and not vehicle_ids
+ else self.vehicle_profiles.default().id
+ )
+ saved = self.mode_profiles.save_mode(
+ str(document["name"]),
+ operations,
+ mode_id=str(document["id"]),
+ aliases=[str(alias) for alias in document.get("aliases", [])],
+ vehicle_id=resolved_vehicle_id,
+ description=str(document.get("description") or "由 N7 同步的模式卡片。"),
+ icon=str(document.get("icon") or "radio-tower"),
+ instruction=f"进入{document['name']}",
+ command_flow=command_flow,
+ timeline=timeline,
+ sync_origin=MQTT_MODE_SCENE_INGRESS_TOPIC,
+ upstream_origin=str(document.get("origin") or ""),
+ )
+ return {
+ "status": "imported",
+ "scene_id": saved.id,
+ "scene_name": saved.name,
+ "source_topic": MQTT_MODE_SCENE_INGRESS_TOPIC,
+ "profile_revision": self.mode_profiles.profile_revision(saved),
+ "storage": "persistent_yaml",
+ }
+
@property
def driver_only_ch1_execution_active(self) -> bool:
"""Return whether deployment policy authorizes only the CH1 vehicle path."""
@@ -646,6 +810,7 @@ class SeatDemoService:
"last_error": None,
}
vehicle_mqtt_info = self._vehicle_mqtt_transport.public_info()
+ vehicle_mqtt_info["mode_scene_import"] = self._mode_scene_ingress.snapshot()
return {
"service": "cabin-cognitive-orchestrator",
"domain": "cabin",
@@ -807,6 +972,207 @@ class SeatDemoService:
resolved_vehicle_id = vehicle_id or self.vehicle_profiles.default().id
return self.mode_profiles.get_profile(mode_id, resolved_vehicle_id)
+ @staticmethod
+ def _fallback_scene_action(
+ operation: Any,
+ *,
+ index: int,
+ ) -> dict[str, Any]:
+ return {
+ "type": "control",
+ "at_ms": 0,
+ "domain": operation.domain,
+ "capability": operation.capability,
+ "target_scope": operation.target_scope,
+ "operation": operation.operation,
+ "parameters": deepcopy(operation.parameters),
+ "operation_ref": f"action-{index + 1}",
+ }
+
+ def _mode_requests_and_n7_transfers(
+ self,
+ profile: ModeProfile,
+ ) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]:
+ """Separate locally understood operations from N7-only capabilities."""
+
+ requests = self.mode_profiles.requests_for_profiles([profile])
+ if profile.sync_origin != MQTT_MODE_SCENE_INGRESS_TOPIC:
+ return requests, []
+ source_scene = (
+ profile.command_flow.get("source_scene")
+ if isinstance(profile.command_flow, dict)
+ else None
+ )
+ source_actions = (
+ source_scene.get("actions")
+ if isinstance(source_scene, dict)
+ and isinstance(source_scene.get("actions"), list)
+ else []
+ )
+ local_requests: list[dict[str, Any]] = []
+ transfer_actions: list[dict[str, Any]] = []
+ for index, (operation, request) in enumerate(
+ zip(profile.operations, requests, strict=True)
+ ):
+ if (
+ operation.domain == "self_extension"
+ and operation.capability == "infrared.emit"
+ ):
+ # The server's durable NFC allowlist owns this local TCP path.
+ # Authorization failures must not be converted into N7 retries.
+ continue
+ registered = self.model_plan_adapter.capabilities.get(
+ operation.capability
+ )
+ native_candidate = {
+ "domain": operation.domain,
+ "capability": operation.capability,
+ "target": operation.target_scope,
+ "parameters": deepcopy(operation.parameters),
+ "operation": operation.operation,
+ }
+ if registered is not None or self.native_can_runtime.supports(
+ native_candidate
+ ):
+ local_requests.append(request)
+ continue
+ raw_action = (
+ source_actions[index]
+ if index < len(source_actions)
+ and isinstance(source_actions[index], dict)
+ else None
+ )
+ action = (
+ deepcopy(raw_action)
+ if raw_action is not None
+ else self._fallback_scene_action(operation, index=index)
+ )
+ transfer_actions.append(action)
+ return local_requests, transfer_actions
+
+ @staticmethod
+ def _has_local_mode_peripheral(profile: ModeProfile) -> bool:
+ return any(
+ operation.domain == "self_extension"
+ and operation.capability == "infrared.emit"
+ for operation in profile.operations
+ )
+
+ @staticmethod
+ def _n7_transfer_deferred_requests(
+ actions: list[dict[str, Any]],
+ ) -> list[dict[str, Any]]:
+ return [
+ {
+ "domain": str(action.get("domain") or ""),
+ "capability": str(action.get("capability") or ""),
+ "target_scope": str(action.get("target_scope") or ""),
+ "desired_change": str(action.get("operation") or "set"),
+ "parameters": deepcopy(dict(action.get("parameters") or {})),
+ "reason": "当前 PC 未注册该能力，将由 N7 端继续处理。",
+ "execution_backend": "n7_vehicle_transfer",
+ "rejection_code": "PC_CAPABILITY_UNAVAILABLE",
+ "transport_submitted": False,
+ }
+ for action in actions
+ ]
+
+ def _finalize_n7_control_transfer(
+ self,
+ result: dict[str, Any],
+ *,
+ execution_mode: str,
+ local_preview: bool,
+ ) -> dict[str, Any]:
+ """Forward only N7-originated actions never submitted by this PC."""
+
+ actions = result.get("n7_transfer_candidates")
+ scene = result.get("n7_source_scene")
+ if (
+ execution_mode != "hardware"
+ or local_preview
+ or not isinstance(actions, list)
+ or not actions
+ or not isinstance(scene, dict)
+ ):
+ return result
+ if str(result.get("status") or "") not in {
+ "succeeded",
+ "partially_succeeded",
+ "capability_unavailable",
+ }:
+ return result
+ if result.get("execution_outcome") == "failed_or_blocked":
+ return result
+ request_id = str(result.get("request_id") or "").strip()
+ scene_id = str(scene.get("id") or "").strip()
+ scene_name = str(scene.get("name") or "").strip()
+ if not request_id or not scene_id or not scene_name:
+ return result
+ transfer_actions = [deepcopy(action) for action in actions if isinstance(action, dict)]
+ if not transfer_actions:
+ return result
+ payload = {
+ "scene_id": scene_id,
+ "scene_name": scene_name,
+ "request_id": request_id,
+ "operation_count": len(transfer_actions),
+ "actions": transfer_actions,
+ }
+ digest = json.dumps(
+ payload,
+ ensure_ascii=False,
+ sort_keys=True,
+ separators=(",", ":"),
+ )
+ publication_key = f"{request_id}:{hashlib.sha256(digest.encode('utf-8')).hexdigest()}"
+ now = time.monotonic()
+ with self._n7_transfer_lock:
+ cutoff = now - 300.0
+ self._n7_transfer_publications = {
+ key: published_at
+ for key, published_at in self._n7_transfer_publications.items()
+ if published_at >= cutoff
+ }
+ if publication_key in self._n7_transfer_publications:
+ result["n7_control_transfer"] = {
+ "state": "duplicate_ignored",
+ "topic": MQTT_N7_CONTROL_TRANSFER_TOPIC,
+ "scene_id": scene_id,
+ "operation_count": len(transfer_actions),
+ }
+ return result
+ try:
+ publication = self._vehicle_mqtt_transport.publish_n7_control_transfer(
+ payload
+ )
+ except Exception as exc: # noqa: BLE001 - local execution result remains valid
+ result["n7_control_transfer"] = {
+ "state": "publish_failed",
+ "topic": MQTT_N7_CONTROL_TRANSFER_TOPIC,
+ "scene_id": scene_id,
+ "operation_count": len(transfer_actions),
+ "last_error": str(exc)[:240],
+ }
+ return result
+ with self._n7_transfer_lock:
+ self._n7_transfer_publications[publication_key] = now
+ result["n7_control_transfer"] = {
+ "state": "published",
+ "scene_id": scene_id,
+ "operation_count": len(transfer_actions),
+ "payload": payload,
+ **dict(publication),
+ }
+ result["decision_summary"] = [
+ *list(result.get("decision_summary") or []),
+ (
+ f"当前 PC 未注册的 {len(transfer_actions)} 条 N7 来源动作已发送至 "
+ f"{MQTT_N7_CONTROL_TRANSFER_TOPIC}；PC 已提交或被安全门禁拦截的动作未转发。"
+ ),
+ ]
+ return result
+
def execute_mode_profile_card(
self,
mode_id: str,
@@ -1183,6 +1549,10 @@ class SeatDemoService:
instruction=clean_instruction,
command_flow=command_flow,
timeline=profile.timeline if profile is not None else None,
+ sync_origin=profile.sync_origin if profile is not None else "",
+ upstream_origin=(
+ profile.upstream_origin if profile is not None else ""
+ ),
expected_revision=draft_existing_mode_revision or None,
create_only=not bool(clean_mode_id),
)
@@ -1379,6 +1749,7 @@ class SeatDemoService:
if self._vehicle_state_monitor is not None:
self._vehicle_state_monitor.start()
self._mode_scene_mqtt_publisher.start()
+ self._mode_scene_ingress.start()
self._vehicle_mqtt_transport.start()
def close(self) -> None:
@@ -1386,6 +1757,7 @@ class SeatDemoService:
self._vehicle_state_monitor.close()
self._mode_scene_mqtt_publisher.close()
self._vehicle_mqtt_transport.close()
+ self._mode_scene_ingress.close()
def publish_pet_message(self, payload: dict[str, str]) -> dict[str, Any]:
"""Publish one NFC-authorized pet card through the shared vehicle broker."""
@@ -2416,7 +2788,7 @@ class SeatDemoService:
# The head unit owns both physical CAN channels in wireless mode.
# Local T2G/ZLG hardware access, firmware profiles and the local
# physical-bench lease are unrelated to MQTT relay execution.
- return self._process_once(
+ result = self._process_once(
utterance,
provider,
conversation_id,
@@ -2438,11 +2810,16 @@ class SeatDemoService:
mode_profile_draft_context=_mode_profile_draft_context,
cloud_instruction_context=_cloud_instruction_context,
)
+ return self._finalize_n7_control_transfer(
+ result,
+ execution_mode=execution_mode,
+ local_preview=_local_preview,
+ )
if hardware_access_bypass or self._driver_only_vehicle_execution_active(
control_transport
):
with self.hardware_execution.reserve():
- return self._process_once(
+ result = self._process_once(
utterance,
provider,
conversation_id,
@@ -2464,10 +2841,15 @@ class SeatDemoService:
mode_profile_draft_context=_mode_profile_draft_context,
cloud_instruction_context=_cloud_instruction_context,
)
+ return self._finalize_n7_control_transfer(
+ result,
+ execution_mode=execution_mode,
+ local_preview=_local_preview,
+ )
authorized_client_id = self.hardware_access.ensure_authorized(hardware_client_id)
with self.hardware_execution.reserve():
with self.hardware_access.use(authorized_client_id):
- return self._process_once(
+ result = self._process_once(
utterance,
provider,
conversation_id,
@@ -2489,6 +2871,11 @@ class SeatDemoService:
mode_profile_draft_context=_mode_profile_draft_context,
cloud_instruction_context=_cloud_instruction_context,
)
+ return self._finalize_n7_control_transfer(
+ result,
+ execution_mode=execution_mode,
+ local_preview=_local_preview,
+ )
def _process_once(
self,
@@ -2768,8 +3155,8 @@ class SeatDemoService:
traces,
)
if direct_mode_profile is not None:
- mode_requests = self.mode_profiles.requests_for_profiles(
- [direct_mode_profile]
+ mode_requests, n7_transfer_actions = (
+ self._mode_requests_and_n7_transfers(direct_mode_profile)
)
detected_domains = list(
dict.fromkeys(
@@ -2814,6 +3201,28 @@ class SeatDemoService:
*list(parsed.get("native_can_actions", [])),
*saved_native_actions,
]
+ if n7_transfer_actions:
+ parsed["deferred_requests"] = [
+ *list(parsed.get("deferred_requests", [])),
+ *self._n7_transfer_deferred_requests(
+ n7_transfer_actions
+ ),
+ ]
+ parsed["_n7_transfer_actions"] = n7_transfer_actions
+ parsed["_n7_scene_profile"] = {
+ "id": direct_mode_profile.id,
+ "name": direct_mode_profile.name,
+ }
+ parsed["detected_domains"] = self._merge_domains(
+ list(parsed.get("detected_domains", [])),
+ [
+ str(action.get("domain") or "")
+ for action in n7_transfer_actions
+ if str(action.get("domain") or "")
+ ],
+ )
+ if self._has_local_mode_peripheral(direct_mode_profile):
+ parsed["_saved_mode_local_peripheral"] = True
provider_used = "saved_mode_command_flow"
provider_notice = None
elif direct_can_batch is not None:
@@ -2951,6 +3360,12 @@ class SeatDemoService:
)
),
)
+ n7_transfer_actions = parsed.get("_n7_transfer_actions", [])
+ n7_scene_profile = parsed.get("_n7_scene_profile")
+ if isinstance(n7_transfer_actions, list) and n7_transfer_actions:
+ result["n7_transfer_candidates"] = deepcopy(n7_transfer_actions)
+ if isinstance(n7_scene_profile, dict):
+ result["n7_source_scene"] = deepcopy(n7_scene_profile)
result["parsed_control_signatures"] = [
list(self._control_signature(action))
for action in [
@@ -2969,7 +3384,10 @@ class SeatDemoService:
)
)
if (
- allow_empty_control_result
+ (
+ allow_empty_control_result
+ or parsed.get("_saved_mode_local_peripheral") is True
+ )
and not has_control
and not parsed.get("ambiguities")
):
@@ -3019,7 +3437,11 @@ class SeatDemoService:
"hardware mode refuses virtual or unverified vehicle actions: "
+ ", ".join(unsupported)
)
- if not parsed.get("actions") and not parsed.get("native_can_actions"):
+ if (
+ not parsed.get("actions")
+ and not parsed.get("native_can_actions")
+ and not parsed.get("_n7_transfer_actions")
+ ):
raise HardwareSafetyError(
"hardware mode requires at least one verified seat or vehicle CAN operation"
)
@@ -4070,7 +4492,10 @@ class SeatDemoService:
if safety_ambiguities:
return parsed
- mode_requests = self.mode_profiles.requests_for_profiles(matched_modes)
+ matched_profile = matched_modes[0]
+ mode_requests, n7_transfer_actions = (
+ self._mode_requests_and_n7_transfers(matched_profile)
+ )
detected_domains = []
for request in mode_requests:
if request["domain"] not in detected_domains:
@@ -4136,6 +4561,26 @@ class SeatDemoService:
float(mode_parsed.get("confidence", 0)),
float(parsed.get("confidence", 0)),
)
+ if n7_transfer_actions:
+ merged["deferred_requests"] = self._merge_unique(
+ list(merged.get("deferred_requests", [])),
+ self._n7_transfer_deferred_requests(n7_transfer_actions),
+ )
+ merged["_n7_transfer_actions"] = deepcopy(n7_transfer_actions)
+ merged["_n7_scene_profile"] = {
+ "id": matched_profile.id,
+ "name": matched_profile.name,
+ }
+ merged["detected_domains"] = self._merge_domains(
+ list(merged.get("detected_domains", [])),
+ [
+ str(action.get("domain") or "")
+ for action in n7_transfer_actions
+ if str(action.get("domain") or "")
+ ],
+ )
+ if self._has_local_mode_peripheral(matched_profile):
+ merged["_saved_mode_local_peripheral"] = True
return merged
@staticmethod
diff --git a/src/cognitive_agent/infrastructure/can/mqtt_transport.py b/src/cognitive_agent/infrastructure/can/mqtt_transport.py
index 2ba16e4..060652c 100644
--- a/src/cognitive_agent/infrastructure/can/mqtt_transport.py
+++ b/src/cognitive_agent/infrastructure/can/mqtt_transport.py
@@ -43,6 +43,11 @@ MQTT_EXTENSION_CONTROL_TOPIC = "extension/ctl"
MQTT_EXTENSION_CONTROL_QOS = 1
MQTT_EXTENSION_CONTROL_MAX_PAYLOAD_BYTES = 256 * 1024
MQTT_MODE_SCENE_TOPIC = "from_pc/scenes"
+MQTT_MODE_SCENE_INGRESS_TOPIC = "from_n7/scenes"
+MQTT_MODE_SCENE_INGRESS_QOS = 1
+MQTT_MODE_SCENE_MAX_PAYLOAD_BYTES = 512 * 1024
+MQTT_N7_CONTROL_TRANSFER_TOPIC = "transto_n7/ctl"
+MQTT_N7_CONTROL_TRANSFER_QOS = 1
MQTT_POLL_INTERVAL_MS = 500
WIRELESS_MQTT_CH1_SOURCE = "wireless_mqtt_ch1"
MQTT_VALID_FD_PAYLOAD_LENGTHS = frozenset(
@@ -727,11 +732,86 @@ def mqtt_mode_scene_payload(payload: Mapping[str, Any]) -> str:
)
except (TypeError, ValueError) as exc:
raise CanGatewayError("mode scene MQTT payload is not valid JSON") from exc
- if len(raw_payload.encode("utf-8")) > 512 * 1024:
+ if len(raw_payload.encode("utf-8")) > MQTT_MODE_SCENE_MAX_PAYLOAD_BYTES:
raise CanGatewayError("mode scene MQTT payload exceeds 512 KiB")
return raw_payload
+_N7_CONTROL_TRANSFER_REQUIRED_KEYS = frozenset(
+ {
+ "scene_id",
+ "scene_name",
+ "request_id",
+ "operation_count",
+ "actions",
+ }
+)
+
+
+def mqtt_n7_control_transfer_payload(payload: Mapping[str, Any]) -> str:
+ """Serialize PC-unavailable actions for the originating N7 scene."""
+
+ if not isinstance(payload, Mapping):
+ raise CanGatewayError("N7 control transfer payload must be a JSON object")
+ missing = sorted(_N7_CONTROL_TRANSFER_REQUIRED_KEYS - set(payload))
+ if missing:
+ raise CanGatewayError(
+ "N7 control transfer payload is missing required fields: "
+ + ", ".join(missing)
+ )
+ for key, maximum in (("scene_id", 64), ("scene_name", 64), ("request_id", 128)):
+ value = payload.get(key)
+ if not isinstance(value, str) or not value.strip() or len(value) > maximum:
+ raise CanGatewayError(
+ f"N7 control transfer {key} must contain between 1 and {maximum} characters"
+ )
+ operation_count = payload.get("operation_count")
+ actions = payload.get("actions")
+ if (
+ isinstance(operation_count, bool)
+ or not isinstance(operation_count, int)
+ or operation_count < 1
+ ):
+ raise CanGatewayError(
+ "N7 control transfer operation_count must be a positive integer"
+ )
+ if not isinstance(actions, list) or len(actions) != operation_count:
+ raise CanGatewayError(
+ "N7 control transfer actions must match operation_count"
+ )
+ for action in actions:
+ if not isinstance(action, Mapping):
+ raise CanGatewayError(
+ "N7 control transfer actions must contain JSON objects"
+ )
+ missing_action_keys = sorted(
+ _MODE_SCENE_ACTION_REQUIRED_KEYS - set(action)
+ )
+ if missing_action_keys:
+ raise CanGatewayError(
+ "N7 control transfer action is missing required fields: "
+ + ", ".join(missing_action_keys)
+ )
+ if not isinstance(action.get("parameters"), Mapping):
+ raise CanGatewayError(
+ "N7 control transfer action parameters must be an object"
+ )
+ try:
+ raw_payload = json.dumps(
+ deepcopy(dict(payload)),
+ ensure_ascii=False,
+ separators=(",", ":"),
+ allow_nan=False,
+ )
+ except (TypeError, ValueError) as exc:
+ raise CanGatewayError(
+ "N7 control transfer payload is not valid JSON"
+ ) from exc
+ if len(raw_payload.encode("utf-8")) > MQTT_MODE_SCENE_MAX_PAYLOAD_BYTES:
+ raise CanGatewayError("N7 control transfer payload exceeds 512 KiB")
+ return raw_payload
+
+
def _validate_native_seat_motion_control(data: bytes) -> None:
"""Validate the firmware-native 0x300 semantic runtime subset.
@@ -863,6 +943,13 @@ class MqttCanTransport:
self._extension_control_retained_count = 0
self._extension_control_last_received_at: str | None = None
self._extension_control_last_error: str | None = None
+ self._mode_scene_ingress_handler: Callable[[bytes], None] | None = None
+ self._mode_scene_ingress_received_count = 0
+ self._mode_scene_ingress_dispatched_count = 0
+ self._mode_scene_ingress_rejected_count = 0
+ self._mode_scene_ingress_retained_count = 0
+ self._mode_scene_ingress_last_received_at: str | None = None
+ self._mode_scene_ingress_last_error: str | None = None
def _build_client(self) -> Any:
if self.client_factory is not None:
@@ -968,6 +1055,18 @@ class MqttCanTransport:
self._extension_control_rejection_handler = handler
self._condition.notify_all()
+ def set_mode_scene_ingress_handler(
+ self,
+ handler: Callable[[bytes], None] | None,
+ ) -> None:
+ """Register the non-blocking application queue for ``from_n7/scenes``."""
+
+ if handler is not None and not callable(handler):
+ raise TypeError("mode scene ingress handler must be callable")
+ with self._condition:
+ self._mode_scene_ingress_handler = handler
+ self._condition.notify_all()
+
def _notify_extension_control_rejection(self, error: str, kind: str) -> None:
with self._condition:
handler = self._extension_control_rejection_handler
@@ -1003,6 +1102,7 @@ class MqttCanTransport:
subscriptions = (
(self.settings.condition_topic, self.settings.qos),
(MQTT_EXTENSION_CONTROL_TOPIC, MQTT_EXTENSION_CONTROL_QOS),
+ (MQTT_MODE_SCENE_INGRESS_TOPIC, MQTT_MODE_SCENE_INGRESS_QOS),
)
failed_subscription: tuple[str, int] | None = None
try:
@@ -1054,6 +1154,9 @@ class MqttCanTransport:
if topic == MQTT_EXTENSION_CONTROL_TOPIC:
self._dispatch_extension_control_message(message)
return
+ if topic == MQTT_MODE_SCENE_INGRESS_TOPIC:
+ self._dispatch_mode_scene_ingress_message(message)
+ return
if topic != self.settings.condition_topic:
return
try:
@@ -1134,6 +1237,45 @@ class MqttCanTransport:
self._condition.notify_all()
self._notify_extension_control_rejection(error, rejection_kind)
+ def _dispatch_mode_scene_ingress_message(self, message: Any) -> None:
+ """Forward a fresh scene payload without blocking the MQTT network loop."""
+
+ received_at = _now()
+ with self._condition:
+ self._mode_scene_ingress_received_count += 1
+ self._mode_scene_ingress_last_received_at = received_at
+ handler = self._mode_scene_ingress_handler
+ retained = bool(getattr(message, "retain", False))
+ if retained:
+ self._mode_scene_ingress_retained_count += 1
+
+ try:
+ if retained:
+ raise CanGatewayError(
+ "retained from_n7/scenes messages are not imported"
+ )
+ payload = bytes(message.payload)
+ if not payload or len(payload) > MQTT_MODE_SCENE_MAX_PAYLOAD_BYTES:
+ raise CanGatewayError(
+ "from_n7/scenes payload must contain 1-512 KiB"
+ )
+ if handler is None:
+ raise CanGatewayError(
+ "from_n7/scenes handler is not configured"
+ )
+ handler(payload)
+ except Exception as exc: # noqa: BLE001 - isolate MQTT network loop
+ with self._condition:
+ self._mode_scene_ingress_rejected_count += 1
+ self._mode_scene_ingress_last_error = str(exc)[:240]
+ self._condition.notify_all()
+ return
+
+ with self._condition:
+ self._mode_scene_ingress_dispatched_count += 1
+ self._mode_scene_ingress_last_error = None
+ self._condition.notify_all()
+
def _record_frame(self, frame: CanFrame) -> None:
if (
frame.channel not in MQTT_ACCEPTED_FEEDBACK_IDS
@@ -1431,6 +1573,38 @@ class MqttCanTransport:
"message_id": getattr(result, "mid", None),
}
+ def publish_n7_control_transfer(
+ self,
+ payload: Mapping[str, Any],
+ ) -> dict[str, Any]:
+ """Queue PC-unavailable scene actions for execution by the N7 side."""
+
+ raw_payload = mqtt_n7_control_transfer_payload(payload)
+ with self._condition:
+ client = self._client
+ state = self._state
+ if client is None or state != "online":
+ raise CanGatewayError("N7 control transfer MQTT publisher is not connected")
+ result = client.publish(
+ MQTT_N7_CONTROL_TRANSFER_TOPIC,
+ raw_payload,
+ qos=MQTT_N7_CONTROL_TRANSFER_QOS,
+ retain=False,
+ )
+ if int(getattr(result, "rc", 0)) != 0:
+ raise CanGatewayError(
+ f"N7 control transfer MQTT publish failed with code {result.rc}"
+ )
+ is_published = getattr(result, "is_published", None)
+ broker_confirmed = bool(is_published()) if callable(is_published) else False
+ return {
+ "topic": MQTT_N7_CONTROL_TRANSFER_TOPIC,
+ "qos": MQTT_N7_CONTROL_TRANSFER_QOS,
+ "retain": False,
+ "delivery_status": "published" if broker_confirmed else "queued",
+ "message_id": getattr(result, "mid", None),
+ }
+
def _receive_after(
self,
cursor: int,
@@ -1500,6 +1674,18 @@ class MqttCanTransport:
"last_received_at": self._extension_control_last_received_at,
"last_error": self._extension_control_last_error,
}
+ info["mode_scene_ingress"] = {
+ "mode": "persistent_mqtt_subscription",
+ "topic": MQTT_MODE_SCENE_INGRESS_TOPIC,
+ "qos": MQTT_MODE_SCENE_INGRESS_QOS,
+ "handler_configured": self._mode_scene_ingress_handler is not None,
+ "received_count": self._mode_scene_ingress_received_count,
+ "dispatched_count": self._mode_scene_ingress_dispatched_count,
+ "rejected_count": self._mode_scene_ingress_rejected_count,
+ "retained_count": self._mode_scene_ingress_retained_count,
+ "last_received_at": self._mode_scene_ingress_last_received_at,
+ "last_error": self._mode_scene_ingress_last_error,
+ }
return info
diff --git a/src/cognitive_agent/lan_scene_server.py b/src/cognitive_agent/lan_scene_server.py
index bb2415c..e844b33 100644
--- a/src/cognitive_agent/lan_scene_server.py
+++ b/src/cognitive_agent/lan_scene_server.py
@@ -5,6 +5,7 @@ from __future__ import annotations
import argparse
import json
import os
+import socket
import threading
from http import HTTPStatus
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
@@ -64,7 +65,16 @@ class SceneCatalogSource:
class N7SceneHttpServer(ThreadingHTTPServer):
daemon_threads = True
- allow_reuse_address = True
+ allow_reuse_address = os.name != "nt"
+
+ def server_bind(self) -> None:
+ if os.name == "nt" and hasattr(socket, "SO_EXCLUSIVEADDRUSE"):
+ self.socket.setsockopt(
+ socket.SOL_SOCKET,
+ socket.SO_EXCLUSIVEADDRUSE,
+ 1,
+ )
+ super().server_bind()
def __init__(self, address: tuple[str, int], source: SceneCatalogSource) -> None:
self.catalog_source = source
@@ -145,7 +155,16 @@ class N7SceneRequestHandler(BaseHTTPRequestHandler):
class N7SceneUdpServer(ThreadingUDPServer):
daemon_threads = True
- allow_reuse_address = True
+ allow_reuse_address = os.name != "nt"
+
+ def server_bind(self) -> None:
+ if os.name == "nt" and hasattr(socket, "SO_EXCLUSIVEADDRUSE"):
+ self.socket.setsockopt(
+ socket.SOL_SOCKET,
+ socket.SO_EXCLUSIVEADDRUSE,
+ 1,
+ )
+ super().server_bind()
class N7SceneDiscoveryHandler(BaseRequestHandler):
diff --git a/src/cognitive_agent/server.py b/src/cognitive_agent/server.py
index e5418f9..298e8c5 100755
--- a/src/cognitive_agent/server.py
+++ b/src/cognitive_agent/server.py
@@ -358,6 +358,9 @@ class SeatDemoHandler(BaseHTTPRequestHandler):
if path == "/api/assistant/capabilities":
self._json(self._assistant_capability_catalog().snapshot())
return
+ if path == "/api/mode-profiles/status":
+ self._json(self.service.mode_profile_sync_status())
+ return
if path == "/api/runtime":
self._json(self.service.runtime_info())
return
@@ -1592,6 +1595,107 @@ class SeatDemoHandler(BaseHTTPRequestHandler):
spec["status"] = str(result.get("status") or "blocked")
return result
+ def _exact_n7_mode_invocation(
+ self,
+ utterance: str,
+ vehicle_id: str | None,
+ ) -> object | None:
+ """Resolve a standalone spoken/text invocation of one N7-synced card."""
+
+ if not str(utterance).strip():
+ return None
+ registry = getattr(self.service, "mode_profiles", None)
+ match_text = getattr(registry, "match_text", None)
+ if not callable(match_text):
+ # Lightweight service doubles used by peripheral-only routes do
+ # not own a mode registry. They must keep their existing routing
+ # behaviour instead of failing before the peripheral parser runs.
+ return None
+ matches = [
+ profile
+ for profile in match_text(
+ utterance,
+ vehicle_id=vehicle_id,
+ )
+ if getattr(profile, "sync_origin", "") == "from_n7/scenes"
+ ]
+ # ``ModeProfileRegistry.match_text`` applies the bounded, exact
+ # invocation grammar to N7-synchronised cards. Keeping that rule in
+ # one place prevents text, speech and card-click routes from drifting.
+ return matches[0] if len(matches) == 1 else None
+
+ def _execute_n7_named_mode_request(
+ self,
+ path: str,
+ common_arguments: dict[str, object],
+ ) -> dict[str, object] | None:
+ utterance = str(common_arguments.get("utterance") or "").strip()
+ vehicle_id = (
+ str(common_arguments["vehicle_id"])
+ if common_arguments.get("vehicle_id")
+ else None
+ )
+ profile = self._exact_n7_mode_invocation(utterance, vehicle_id)
+ if profile is None:
+ return None
+ execution_mode = (
+ "dry_run"
+ if path == "/api/requests/preview"
+ else str(common_arguments.get("execution_mode") or "dry_run")
+ )
+ conversation_id = (
+ str(common_arguments["conversation_id"])
+ if common_arguments.get("conversation_id")
+ else None
+ )
+ entries = self._saved_mode_infrared_entries(profile)
+ can_result = self.service.execute_mode_profile_card(
+ str(getattr(profile, "id")),
+ conversation_id=conversation_id,
+ execution_mode=execution_mode,
+ approval_token=(
+ str(common_arguments["approval_token"])
+ if common_arguments.get("approval_token")
+ else None
+ ),
+ vehicle_id=vehicle_id,
+ simulation_fault=str(
+ common_arguments.get("simulation_fault") or "normal"
+ ),
+ hardware_client_id=(
+ str(common_arguments["hardware_client_id"])
+ if common_arguments.get("hardware_client_id")
+ else None
+ ),
+ hardware_access_bypass=bool(
+ common_arguments.get("hardware_access_bypass", True)
+ ),
+ control_transport=str(
+ common_arguments.get("control_transport") or "wired_can"
+ ),
+ )
+ if not entries:
+ can_result["utterance"] = utterance
+ return can_result
+ infrared_result = self._execute_local_peripheral_actions(
+ utterance,
+ entries,
+ provider="saved_mode_command_flow",
+ conversation_id=conversation_id,
+ execution_mode=execution_mode,
+ )
+ result = self._merge_can_and_peripheral_results(
+ utterance,
+ can_result,
+ infrared_result,
+ entries,
+ )
+ result["provider_used"] = "saved_mode_command_flow"
+ result["orchestration_route"] = "saved_mode_command_flow"
+ result["mode_profile"] = profile.public_dict()
+ self.service.persist_composed_result(result)
+ return result
+
def _execute_request_with_peripherals(
self,
path: str,
@@ -1626,6 +1730,12 @@ class SeatDemoHandler(BaseHTTPRequestHandler):
**mode_arguments,
_on_commands_validated=callback,
)
+ n7_mode_result = self._execute_n7_named_mode_request(
+ path,
+ common_arguments,
+ )
+ if n7_mode_result is not None:
+ return n7_mode_result
catalog = self._peripheral_routing_catalog()
nfc_snapshot = self.nfc.snapshot()
partition = partition_active_peripheral_intent(
@@ -4198,6 +4308,22 @@ class SeatDemoHandler(BaseHTTPRequestHandler):
)
+class N7WebHttpServer(ThreadingHTTPServer):
+ """Prevent multiple Windows processes from silently sharing one port."""
+
+ daemon_threads = True
+ allow_reuse_address = os.name != "nt"
+
+ def server_bind(self) -> None:
+ if os.name == "nt" and hasattr(socket, "SO_EXCLUSIVEADDRUSE"):
+ self.socket.setsockopt(
+ socket.SOL_SOCKET,
+ socket.SO_EXCLUSIVEADDRUSE,
+ 1,
+ )
+ super().server_bind()
+
+
def main() -> None:
parser = argparse.ArgumentParser(description="Run the cabin orchestration demo")
parser.add_argument("--host", default=os.getenv("HOST", "127.0.0.1"))
@@ -4221,7 +4347,7 @@ def main() -> None:
args.scene_catalog,
server_id=args.scene_server_id,
)
- server = ThreadingHTTPServer((args.host, args.port), SeatDemoHandler)
+ server = N7WebHttpServer((args.host, args.port), SeatDemoHandler)
SeatDemoHandler.speech.start()
SeatDemoHandler.assistant.start(
f"http://127.0.0.1:{server.server_port}/api/internal/codex/vehicle-control"
diff --git a/tests/e2e/test_seat_web_api.py b/tests/e2e/test_seat_web_api.py
index fe80c8e..cafa5a5 100755
--- a/tests/e2e/test_seat_web_api.py
+++ b/tests/e2e/test_seat_web_api.py
@@ -151,6 +151,12 @@ class SeatWebApiTests(unittest.TestCase):
with self.assertRaises(urllib.error.HTTPError) as caught:
unauthenticated.open(f"{self.base_url}/api/runtime", timeout=3)
self.assertEqual(caught.exception.code, 401)
+ with self.assertRaises(urllib.error.HTTPError) as sync_status_denied:
+ unauthenticated.open(
+ f"{self.base_url}/api/mode-profiles/status",
+ timeout=3,
+ )
+ self.assertEqual(sync_status_denied.exception.code, 401)
with self.assertRaises(urllib.error.HTTPError) as state_denied:
unauthenticated.open(
@@ -292,7 +298,9 @@ class SeatWebApiTests(unittest.TestCase):
self.assertGreaterEqual(catalog["scene_count"], 13)
self.assertEqual(catalog["scene_count"], len(catalog["scenes"]))
office = next(scene for scene in catalog["scenes"] if scene["id"] == "office")
- self.assertIn(office["origin"], {"preset", "customized"})
+ self.assertIn(office["origin"], {"preset", "customized", "n7_mqtt"})
+ if office["origin"] == "n7_mqtt":
+ self.assertEqual(office["source_topic"], "from_n7/scenes")
self.assertTrue(office["actions"])
self.assertIn("capability", office["actions"][0])
self.assertNotIn("command_flow", json.dumps(catalog, ensure_ascii=False))
@@ -306,6 +314,20 @@ class SeatWebApiTests(unittest.TestCase):
self.assertEqual(response.headers["Access-Control-Allow-Origin"], "*")
self.assertIn("GET", response.headers["Access-Control-Allow-Methods"])
+ def test_mode_profile_sync_status_is_lightweight_and_authenticated(self) -> None:
+ with self.opener.open(
+ f"{self.base_url}/api/mode-profiles/status",
+ timeout=3,
+ ) as response:
+ payload = json.loads(response.read().decode("utf-8"))
+
+ self.assertEqual(response.status, 200)
+ self.assertIn("catalog_revision", payload)
+ self.assertIn("scene_count", payload)
+ self.assertIn("mode_scene_ingress", payload)
+ self.assertIn("imported_count", payload["mode_scene_ingress"])
+ self.assertNotIn("modes", payload)
+
def test_user_mode_delete_endpoint_removes_only_user_profiles(self) -> None:
original_registry = self.service.mode_profiles
with tempfile.TemporaryDirectory() as directory:
@@ -932,14 +954,14 @@ operations:
vite_entry = (web_console_root / "src" / "main.js").read_text(
encoding="utf-8"
)
- with self.opener.open(f"{self.base_url}/app.js?v=dual-seat-141", timeout=3) as response:
+ with self.opener.open(f"{self.base_url}/app.js?v=dual-seat-145-n7-dispatch", timeout=3) as response:
app_script = response.read().decode("utf-8")
with self.opener.open(
f"{self.base_url}/gesture-control.js?v=android-pad-9", timeout=3
) as response:
gesture_script = response.read().decode("utf-8")
with self.opener.open(
- f"{self.base_url}/console-v2.js?v=local-first-76", timeout=3
+ f"{self.base_url}/console-v2.js?v=local-first-77-performance", timeout=3
) as response:
console_script = response.read().decode("utf-8")
with self.opener.open(
@@ -959,7 +981,7 @@ operations:
) as response:
speech_worklet = response.read().decode("utf-8")
with self.opener.open(
- f"{self.base_url}/self-extension.js?v=pet-settings-52", timeout=3
+ f"{self.base_url}/self-extension.js?v=pet-settings-53-performance", timeout=3
) as response:
extension_script = response.read().decode("utf-8")
with self.opener.open(
@@ -971,7 +993,7 @@ operations:
) as response:
assistant_script = response.read().decode("utf-8")
with self.opener.open(
- f"{self.base_url}/energy-monitor.js?v=energy-monitor-4", timeout=3
+ f"{self.base_url}/energy-monitor.js?v=energy-monitor-5-performance", timeout=3
) as response:
energy_script = response.read().decode("utf-8")
with self.opener.open(
@@ -1018,10 +1040,10 @@ operations:
self.assertIn("CMD 0x431 · FB 0x41A · CH1", template)
self.assertIn("CMD 0x431 · FB 0x388 · CH1", template)
self.assertNotIn("透明车体 · 实体设备", template)
- self.assertIn('src="/app.js?v=dual-seat-141"', html)
+ self.assertIn('src="/app.js?v=dual-seat-145-n7-dispatch"', html)
self.assertIn('import "../styles.css";', vite_entry)
self.assertNotIn('class="vehicle-system-hud"', template)
- self.assertIn('src="/console-v2.js?v=local-first-76"', html)
+ self.assertIn('src="/console-v2.js?v=local-first-77-performance"', html)
self.assertIn('import "../console-v2.css";', vite_entry)
self.assertIn('src="/speech-input.js?v=sensevoice-13"', html)
self.assertIn('import "../speech-input.css";', vite_entry)
@@ -1030,7 +1052,7 @@ operations:
self.assertIn('', html)
self.assertIn('id="v2BootScreen"', template)
self.assertIn('正在加载车机控制与实时状态', template)
- self.assertIn('src="/self-extension.js?v=pet-settings-52"', html)
+ self.assertIn('src="/self-extension.js?v=pet-settings-53-performance"', html)
self.assertIn('import "../self-extension.css";', vite_entry)
self.assertNotIn("self-calibration", template)
self.assertNotIn("self-repair", template)
@@ -1041,7 +1063,7 @@ operations:
self.assertIn('import "../assistant-chat.css";', vite_entry)
self.assertIn('src="/assistant-chat.js?v=codex-assistant-34"', html)
self.assertIn('import "../energy-monitor.css";', vite_entry)
- self.assertIn('src="/energy-monitor.js?v=energy-monitor-4"', html)
+ self.assertIn('src="/energy-monitor.js?v=energy-monitor-5-performance"', html)
self.assertIn('import "../codepen-glass-theme.css";', vite_entry)
self.assertEqual(extension_control_status["source_label"], "车端 MQTT")
self.assertIn("action_statuses", extension_control_status)
@@ -1331,16 +1353,16 @@ operations:
self.assertIn('canvas.addEventListener("webglcontextlost"', app_script)
self.assertIn('"cognitive-agent:module-change"', app_script)
self.assertIn(
- 'const CACHE_VERSION = "cognitive-agent-pad-v317-nfc-auth-routing"',
+ 'const CACHE_VERSION = "cognitive-agent-pad-v321-n7-dispatch"',
service_worker,
)
self.assertIn('/console-v2.css?v=delivery-state-69', service_worker)
- self.assertIn('/console-v2.js?v=local-first-76', service_worker)
+ self.assertIn('/console-v2.js?v=local-first-77-performance', service_worker)
self.assertIn('/assistant-chat.css?v=codex-assistant-29', service_worker)
self.assertIn('/assistant-chat.js?v=codex-assistant-34', service_worker)
self.assertIn('/energy-monitor.css?v=energy-monitor-4', service_worker)
- self.assertIn('/energy-monitor.js?v=energy-monitor-4', service_worker)
- self.assertIn('"/app.js?v=dual-seat-141"', service_worker)
+ self.assertIn('/energy-monitor.js?v=energy-monitor-5-performance', service_worker)
+ self.assertIn('"/app.js?v=dual-seat-145-n7-dispatch"', service_worker)
self.assertIn('"/speech-input.js?v=sensevoice-13"', service_worker)
self.assertIn('"/speech-input.css?v=sensevoice-7"', service_worker)
self.assertIn('"/speech-audio-worklet.js?v=sensevoice-5"', service_worker)
@@ -1800,7 +1822,7 @@ operations:
) as response:
extension_script = response.read().decode("utf-8")
with self.opener.open(
- f"{self.base_url}/app.js?v=dual-seat-141", timeout=3
+ f"{self.base_url}/app.js?v=dual-seat-145-n7-dispatch", timeout=3
) as response:
app_script = response.read().decode("utf-8")
diff --git a/tests/unit/test_assistant_capability_catalog.py b/tests/unit/test_assistant_capability_catalog.py
index bd211ec..1ed6108 100644
--- a/tests/unit/test_assistant_capability_catalog.py
+++ b/tests/unit/test_assistant_capability_catalog.py
@@ -16,8 +16,13 @@ from cognitive_agent.generated.can_semantic_protocol import (
@pytest.fixture(scope="module")
-def vehicle_service() -> SeatDemoService:
- return SeatDemoService()
+def vehicle_service(tmp_path_factory: pytest.TempPathFactory) -> SeatDemoService:
+ service = SeatDemoService()
+ service.mode_profiles = type(service.mode_profiles)(
+ service.root / "config" / "modes",
+ user_root=tmp_path_factory.mktemp("assistant-capability-modes"),
+ )
+ return service
def _catalog(
@@ -269,7 +274,16 @@ def test_all_modes_are_discoverable_and_reference_callable_capabilities(
"zero_gravity",
}
assert all(item["assistant_callable"] is True for item in modes)
- assert all(set(item["operation_ids"]) <= callable_ids for item in modes)
+ assert all(
+ set(item["operation_ids"])
+ <= callable_ids | set(item.get("n7_transfer_operation_ids", []))
+ for item in modes
+ )
+ assert all(
+ not item.get("n7_transfer_operation_ids")
+ or item.get("origin") == "n7_mqtt"
+ for item in modes
+ )
assert (
next(item for item in modes if item["id"] == "baby_nap")[
"all_operations_have_native_binding"
diff --git a/tests/unit/test_assistant_frontend_contract.py b/tests/unit/test_assistant_frontend_contract.py
index a60303b..4877c58 100644
--- a/tests/unit/test_assistant_frontend_contract.py
+++ b/tests/unit/test_assistant_frontend_contract.py
@@ -27,7 +27,7 @@ def test_console_contains_ai_assistant_surface():
def test_codex_assistant_assets_are_versioned_together_in_the_service_worker():
service_worker = (ROOT / "apps/web-console/service-worker.js").read_text(encoding="utf-8")
assert (
- 'const CACHE_VERSION = "cognitive-agent-pad-v317-nfc-auth-routing"'
+ 'const CACHE_VERSION = "cognitive-agent-pad-v321-n7-dispatch"'
in service_worker
)
assert '"/assistant-chat.css?v=codex-assistant-29"' in service_worker
diff --git a/tests/unit/test_energy_monitor_frontend_contract.py b/tests/unit/test_energy_monitor_frontend_contract.py
index e3673f2..959cc6a 100644
--- a/tests/unit/test_energy_monitor_frontend_contract.py
+++ b/tests/unit/test_energy_monitor_frontend_contract.py
@@ -32,16 +32,16 @@ def test_energy_monitor_assets_are_versioned_and_cached() -> None:
for asset in (
"/energy-monitor.css?v=energy-monitor-4",
- "/energy-monitor.js?v=energy-monitor-4",
+ "/energy-monitor.js?v=energy-monitor-5-performance",
):
assert f'"{asset}"' in service_worker
assert 'import "../energy-monitor.css";' in vite_entry
- assert "/energy-monitor.js?v=energy-monitor-4" in html
+ assert "/energy-monitor.js?v=energy-monitor-5-performance" in html
assert html.index("/assistant-chat.js?v=codex-assistant-34") < html.index(
- "/energy-monitor.js?v=energy-monitor-4"
+ "/energy-monitor.js?v=energy-monitor-5-performance"
)
assert (
- 'const CACHE_VERSION = "cognitive-agent-pad-v316-sidebar-accordion"'
+ 'const CACHE_VERSION = "cognitive-agent-pad-v321-n7-dispatch"'
in service_worker
)
@@ -140,7 +140,7 @@ def test_energy_monitor_samples_integrates_and_bounds_its_curves() -> None:
assert 'id="energyMonitorChartLine"' in script
assert 'id="energyMonitorChartArea"' in script
assert "polylinePoints(values, maximum" in script
- assert 'window.setInterval(() => sampleNow(), SAMPLE_INTERVAL_MS)' in script
+ assert '() => sampleNow({ render: monitor.open })' in script
assert 'ingestPowerTelemetry(event.detail || {}, { sample: false })' in script
assert 'ingestPowerTelemetry(payload, { sample: false })' in script
assert 'new CustomEvent("cognitive-agent:energy-snapshot"' in script
diff --git a/tests/unit/test_frontend_performance_contract.py b/tests/unit/test_frontend_performance_contract.py
new file mode 100644
index 0000000..562a87c
--- /dev/null
+++ b/tests/unit/test_frontend_performance_contract.py
@@ -0,0 +1,103 @@
+from __future__ import annotations
+
+from pathlib import Path
+
+
+ROOT = Path(__file__).resolve().parents[2]
+WEB = ROOT / "apps" / "web-console"
+
+
+def source(name: str) -> str:
+ return (WEB / name).read_text(encoding="utf-8")
+
+
+def section(content: str, start: str, end: str) -> str:
+ start_index = content.index(start)
+ end_index = content.index(end, start_index)
+ return content[start_index:end_index]
+
+
+def test_vehicle_twin_renders_on_demand_and_throttles_hotspot_layout() -> None:
+ app = source("app.js")
+ animation = section(app, " function animate(timestamp = 0) {", " setTwinSelection(")
+
+ assert "function requestRender({ hotspots = true, settleFrames = 36 } = {})" in app
+ assert "if (twinNeedsAnimation(twin)) queueTwinFrame();" in animation
+ assert "window.requestAnimationFrame(animate)" not in animation
+ assert "document.visibilityState !== \"visible\"" in app
+ assert "new IntersectionObserver" in app
+ assert "timestamp - twin.hotspotLastLayoutAt >= 100" in animation
+ assert "hotspotMetrics: new Map()" in app
+ assert "label?.offsetWidth" in app
+ assert "renderer.setPixelRatio(Math.min(window.devicePixelRatio || 1, 1.5))" in app
+
+
+def test_unchanged_vehicle_state_skips_dom_and_device_panel_rebuilds() -> None:
+ app = source("app.js")
+ console = source("console-v2.js")
+ seat_render = section(app, "function renderSeatState(actuatorState) {", "\nfunction renderDomainState")
+
+ assert "vehicleRenderFingerprint(mergedActuatorState)" in seat_render
+ assert "renderFingerprint === state.seatRenderFingerprint" in seat_render
+ assert "resetSeatState();" not in seat_render
+ assert 'new CustomEvent("cognitive-agent:vehicle-state-rendered"' in app
+ assert '"cognitive-agent:vehicle-state-rendered"' in console
+ assert "observe(cabinBand" not in console
+ assert "observe(stateBand" not in console
+ assert 'if (!panelVisible("devices"))' in console
+ assert "renderSyncedDevices({ force: true })" in console
+
+
+def test_nfc_polling_keeps_its_frequency_without_rendering_hidden_surfaces() -> None:
+ extension = source("self-extension.js")
+
+ assert "const NFC_POLL_INTERVAL_MS = 700" in extension
+ assert "currentNfcDialogFingerprint()" in extension
+ assert "if (!force && !dialog.open)" in extension
+ assert "renderFingerprint === nfcDialogFingerprint" in extension
+ assert 'panel?.classList.contains("is-collapsed")' in extension
+ assert "renderFingerprint === unifiedExtensionFingerprint" in extension
+ assert '"cognitive-agent:side-panel-visibility"' in extension
+
+
+def test_hidden_energy_monitor_samples_without_repainting() -> None:
+ monitor = source("energy-monitor.js")
+
+ assert "SAMPLE_INTERVAL_MS = 1000" in monitor
+ assert "() => sampleNow({ render: monitor.open })" in monitor
+ assert "if (next)" in monitor
+ assert "renderMonitor();" in section(monitor, " function setOpen(open) {", "\n function selectSeries")
+
+
+def test_high_frequency_fields_and_hotspots_do_not_add_compositor_blur() -> None:
+ theme = source("codepen-glass-theme.css")
+ field_rule = section(
+ theme,
+ "body.console-v2 :is(input, textarea, select),",
+ "body.console-v2 :is(input, textarea, select):focus",
+ )
+
+ assert "backdrop-filter" not in field_rule
+ assert "body.console-v2 .v2-twin-device-popover {" in theme
+ shared_hotspot_rule = section(
+ theme,
+ "body.console-v2 .v2-twin-hotspot-label,",
+ "body.console-v2 .v2-twin-device-popover {\n -webkit-backdrop-filter",
+ )
+ assert "backdrop-filter" not in shared_hotspot_rule
+
+
+def test_performance_assets_have_a_new_cache_generation() -> None:
+ html = source("index.html")
+ worker = source("service-worker.js")
+
+ for asset in (
+ "/app.js?v=dual-seat-145-n7-dispatch",
+ "/console-v2.js?v=local-first-77-performance",
+ "/self-extension.js?v=pet-settings-53-performance",
+ "/energy-monitor.js?v=energy-monitor-5-performance",
+ ):
+ assert asset in html
+ assert f'"{asset}"' in worker
+ assert 'const CACHE_VERSION = "cognitive-agent-pad-v321-n7-dispatch"' in worker
+ assert '"/codepen-glass-theme.css?v=creative-cloud-6-performance"' in worker
diff --git a/tests/unit/test_frontend_theme_contract.py b/tests/unit/test_frontend_theme_contract.py
index 6f6b2b6..239d0e6 100644
--- a/tests/unit/test_frontend_theme_contract.py
+++ b/tests/unit/test_frontend_theme_contract.py
@@ -47,12 +47,12 @@ def test_theme_asset_versions_are_consistent_with_the_pwa_shell() -> None:
('import "../console-v2.css"', "/console-v2.css?v=delivery-state-69"),
('import "../self-extension.css"', "/self-extension.css?v=pet-settings-52"),
('import "../speech-input.css"', "/speech-input.css?v=sensevoice-7"),
- ('import "../codepen-glass-theme.css"', "/codepen-glass-theme.css?v=creative-cloud-5"),
+ ('import "../codepen-glass-theme.css"', "/codepen-glass-theme.css?v=creative-cloud-6-performance"),
):
assert source_asset in main
assert f'"{cached_asset}"' in service_worker
assert 'import "./styles/design-system.css"' in main
- assert 'const CACHE_VERSION = "cognitive-agent-pad-v316-sidebar-accordion"' in service_worker
+ assert 'const CACHE_VERSION = "cognitive-agent-pad-v321-n7-dispatch"' in service_worker
def test_reference_glass_theme_covers_the_complete_workspace() -> None:
diff --git a/tests/unit/test_mode_card_dispatch_integrity.py b/tests/unit/test_mode_card_dispatch_integrity.py
new file mode 100644
index 0000000..f50b1ea
--- /dev/null
+++ b/tests/unit/test_mode_card_dispatch_integrity.py
@@ -0,0 +1,61 @@
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from cognitive_agent.application.mode_profile import ModeProfileRegistry
+from cognitive_agent.application.seat_service import REPOSITORY_ROOT, SeatDemoService
+
+
+def test_all_repository_mode_cards_preserve_every_operation_in_dry_run(
+ tmp_path: Path,
+) -> None:
+ """Every visible preset must reach a validated executable configuration."""
+
+ service = SeatDemoService(REPOSITORY_ROOT)
+ service.mode_profiles = ModeProfileRegistry(
+ REPOSITORY_ROOT / "config" / "modes",
+ user_root=tmp_path / "user-modes",
+ )
+ service.artifact_root = tmp_path / "runs"
+ vehicle_id = "denza_n7"
+ failures: list[dict[str, object]] = []
+
+ for card in service.mode_profiles.public_modes(vehicle_id):
+ profile = service.mode_profiles.get_profile(str(card["id"]), vehicle_id)
+ result = service.process(
+ profile.instruction or f"进入{profile.name}",
+ provider="local",
+ conversation_id=f"conv-mode-integrity-{profile.id.replace('_', '-')}",
+ execution_mode="dry_run",
+ vehicle_id=vehicle_id,
+ control_transport="wireless_mqtt",
+ )
+ compiled_operations = [
+ operation
+ for config in result.get("function_configs", {}).values()
+ for operation in config.get("spec", {}).get("operations", [])
+ ]
+ validation_errors = [
+ issue
+ for issue in result.get("validation", [])
+ if issue.get("severity") == "error"
+ ]
+ if (
+ result.get("status") != "succeeded"
+ or validation_errors
+ or result.get("deferred_requests")
+ or len(compiled_operations) != len(profile.operations)
+ ):
+ failures.append(
+ {
+ "id": profile.id,
+ "expected_operations": len(profile.operations),
+ "compiled_operations": len(compiled_operations),
+ "status": result.get("status"),
+ "deferred_requests": result.get("deferred_requests"),
+ "validation_errors": validation_errors,
+ }
+ )
+
+ assert not failures, json.dumps(failures, ensure_ascii=False, indent=2)
diff --git a/tests/unit/test_mode_gallery_grouping.py b/tests/unit/test_mode_gallery_grouping.py
index cf36abd..9e4b8de 100644
--- a/tests/unit/test_mode_gallery_grouping.py
+++ b/tests/unit/test_mode_gallery_grouping.py
@@ -310,6 +310,11 @@ const context = {
setModeRailSelection(mode) { calls.push(["select", mode?.id]); },
closeModeGallery(options) { calls.push(["close", options.restoreFocus]); },
showToast(message) { calls.push(["toast", message]); },
+ hasExecutableModeCommandFlow(mode) {
+ const flow = mode?.command_flow;
+ return Boolean(flow?.source_request_id)
+ || Boolean(flow?.plans && Object.keys(flow.plans).length);
+ },
executeSavedModeProfile(mode, options) {
calls.push(["execute", mode.id, options.command]);
return Promise.resolve(true);
@@ -346,6 +351,42 @@ console.log(JSON.stringify({
assert "executeSavedModeProfile" in snippet
+def test_n7_mode_command_flow_is_directly_executable_without_source_request_id() -> None:
+ app = (WEB / "app.js").read_text(encoding="utf-8")
+ start = app.index("function hasExecutableModeCommandFlow")
+ end = app.index("\n\nasync function executeSavedModeProfile", start)
+ helper = app[start:end]
+ script = helper + r"""
+console.log(JSON.stringify({
+ imported: hasExecutableModeCommandFlow({
+ id: "cinema",
+ command_flow: {
+ source_topic: "from_n7/scenes",
+ plans: { from_n7_scene: { spec: { commands: [] } } },
+ },
+ }),
+ generated: hasExecutableModeCommandFlow({
+ id: "reading-user",
+ command_flow: { source_request_id: "req-reading" },
+ }),
+ missing: hasExecutableModeCommandFlow({ id: "office" }),
+}));
+"""
+ completed = subprocess.run(
+ [node_runtime(), "-e", script],
+ check=True,
+ capture_output=True,
+ text=True,
+ encoding="utf-8",
+ )
+
+ assert json.loads(completed.stdout) == {
+ "imported": True,
+ "generated": True,
+ "missing": False,
+ }
+
+
def test_mode_card_without_saved_flow_falls_back_to_assistant_submission() -> None:
app = (WEB / "app.js").read_text(encoding="utf-8")
start = app.index("function applyModeCommand")
@@ -378,6 +419,11 @@ const context = {
setModeExecutionState(modeId, status) { calls.push(["state", modeId, status]); },
closeModeGallery(options) { calls.push(["close", options.restoreFocus]); },
showToast(message) { calls.push(["toast", message]); },
+ hasExecutableModeCommandFlow(mode) {
+ const flow = mode?.command_flow;
+ return Boolean(flow?.source_request_id)
+ || Boolean(flow?.plans && Object.keys(flow.plans).length);
+ },
$(selector) {
return { "#utterance": input, "#requestForm": form, "#runButton": runButton }[selector];
},
diff --git a/tests/unit/test_mode_scene_ingress.py b/tests/unit/test_mode_scene_ingress.py
new file mode 100644
index 0000000..3fbfd51
--- /dev/null
+++ b/tests/unit/test_mode_scene_ingress.py
@@ -0,0 +1,555 @@
+from __future__ import annotations
+
+import json
+import time
+from copy import deepcopy
+from pathlib import Path
+from unittest.mock import MagicMock
+
+import pytest
+
+from cognitive_agent.application.assistant_capabilities import (
+ AssistantCapabilityCatalog,
+)
+from cognitive_agent.application.mode_profile import ModeProfileRegistry
+from cognitive_agent.application.mode_scene_ingress import (
+ ModeSceneIngressConsumer,
+ ModeSceneIngressError,
+ parse_mode_scene_ingress_payload,
+)
+from cognitive_agent.application.seat_service import REPOSITORY_ROOT, SeatDemoService
+
+
+def scene_card(*, temperature: int = 24) -> dict[str, object]:
+ return {
+ "id": "n7-reading",
+ "label": "N7 阅读模式",
+ "name": "N7 阅读模式",
+ "background_time": "evening",
+ "description": "由车端同步的阅读场景。",
+ "icon": "book-open",
+ "aliases": ["N7 阅读模式", "车端阅读"],
+ "origin": "user",
+ "deletable": True,
+ "behavior": "static",
+ "domains": ["climate"],
+ "operation_count": 1,
+ "scope": {"common": False, "vehicle_ids": ["denza_n7"]},
+ "profile_revision": f"remote-{temperature}",
+ "actions": [
+ {
+ "type": "climate_temperature",
+ "at_ms": 250,
+ "domain": "climate",
+ "capability": "climate.set_temperature",
+ "target_scope": "passenger",
+ "operation": "set",
+ "parameters": {"temperature_c": temperature},
+ "zone": "passenger",
+ "celsius": temperature,
+ }
+ ],
+ }
+
+
+def cinema_scene_card() -> dict[str, object]:
+ """Representative N7 card containing local and head-unit-only actions."""
+
+ actions: list[dict[str, object]] = [
+ *[
+ {
+ "type": "window_position",
+ "at_ms": 0,
+ "domain": "window",
+ "capability": "window.set_position",
+ "target_scope": target,
+ "operation": "set",
+ "parameters": {"position_pct": 0},
+ }
+ for target in ("front_left", "front_right", "rear_left", "rear_right")
+ ],
+ {
+ "type": "roof_shade_position",
+ "at_ms": 0,
+ "domain": "roof",
+ "capability": "roof.set_shade_position",
+ "target_scope": "vehicle",
+ "operation": "set",
+ "parameters": {"position_pct": 0},
+ },
+ {
+ "type": "seat_preset",
+ "at_ms": 0,
+ "domain": "local_vehicle",
+ "capability": "local_scene.seat_preset",
+ "target_scope": "vehicle",
+ "operation": "set",
+ "parameters": {"targets_pulse": [246, 112, 405, 342]},
+ },
+ {
+ "type": "seat_ventilation",
+ "at_ms": 0,
+ "domain": "seat",
+ "capability": "seat.set_ventilation",
+ "target_scope": "passenger",
+ "operation": "set",
+ "parameters": {"state": "off"},
+ },
+ {
+ "type": "climate_power",
+ "at_ms": 0,
+ "domain": "climate",
+ "capability": "climate.set_power",
+ "target_scope": "vehicle",
+ "operation": "set",
+ "parameters": {"state": "on"},
+ },
+ {
+ "type": "climate_fan",
+ "at_ms": 0,
+ "domain": "climate",
+ "capability": "climate.set_fan_level",
+ "target_scope": "vehicle",
+ "operation": "set",
+ "parameters": {"level": 2},
+ },
+ {
+ "type": "climate_outlet_mode",
+ "at_ms": 0,
+ "domain": "climate",
+ "capability": "climate.set_outlet_mode",
+ "target_scope": "vehicle",
+ "operation": "set",
+ "parameters": {"mode": "face"},
+ },
+ {
+ "type": "climate_cycle_mode",
+ "at_ms": 0,
+ "domain": "climate",
+ "capability": "climate.set_cycle_mode",
+ "target_scope": "vehicle",
+ "operation": "set",
+ "parameters": {"mode": "internal"},
+ },
+ {
+ "type": "climate_control_mode",
+ "at_ms": 0,
+ "domain": "climate",
+ "capability": "climate.set_control_mode",
+ "target_scope": "vehicle",
+ "operation": "set",
+ "parameters": {"mode": "manual"},
+ },
+ {
+ "type": "climate_temperature",
+ "at_ms": 0,
+ "domain": "climate",
+ "capability": "climate.set_temperature",
+ "target_scope": "vehicle",
+ "operation": "set",
+ "parameters": {"temperature_c": 25},
+ },
+ {
+ "type": "interior_light_reading_power",
+ "at_ms": 0,
+ "domain": "interior_light",
+ "capability": "interior_light.set_reading_power",
+ "target_scope": "all",
+ "operation": "set",
+ "parameters": {"state": "off"},
+ },
+ {
+ "type": "ambient_light_power",
+ "at_ms": 0,
+ "domain": "ambient_light",
+ "capability": "ambient_light.set_power",
+ "target_scope": "vehicle",
+ "operation": "set",
+ "parameters": {"state": "on"},
+ },
+ {
+ "type": "ambient_light_color",
+ "at_ms": 0,
+ "domain": "ambient_light",
+ "capability": "ambient_light.set_color_index",
+ "target_scope": "vehicle",
+ "operation": "set",
+ "parameters": {"color_index": 36},
+ },
+ {
+ "type": "ambient_light_brightness",
+ "at_ms": 0,
+ "domain": "ambient_light",
+ "capability": "ambient_light.set_brightness_level",
+ "target_scope": "vehicle",
+ "operation": "set",
+ "parameters": {"brightness_level": 4},
+ },
+ ]
+ return {
+ "id": "cinema",
+ "label": "Cinema mode",
+ "name": "Cinema mode",
+ "background_time": "night",
+ "description": "Representative N7 mixed-domain scene.",
+ "icon": "bookmark-plus",
+ "aliases": ["Cinema mode"],
+ "origin": "headunit",
+ "deletable": True,
+ "behavior": "static",
+ "domains": list(dict.fromkeys(str(item["domain"]) for item in actions)),
+ "operation_count": len(actions),
+ "scope": {"common": False, "vehicle_ids": ["denza_n7"]},
+ "actions": actions,
+ "profile_revision": "cinema-test-revision",
+ }
+
+
+def wait_until(predicate, timeout: float = 1.5) -> bool:
+ deadline = time.monotonic() + timeout
+ while time.monotonic() < deadline:
+ if predicate():
+ return True
+ time.sleep(0.01)
+ return bool(predicate())
+
+
+def configured_service(tmp_path: Path) -> SeatDemoService:
+ service = SeatDemoService(REPOSITORY_ROOT)
+ service.mode_profiles = ModeProfileRegistry(
+ tmp_path / "presets",
+ user_root=tmp_path / "profiles",
+ )
+ service.artifact_root = tmp_path / "runs"
+ return service
+
+
+def test_parser_uses_exact_single_card_contract_and_rejects_duplicate_keys() -> None:
+ scene = scene_card()
+ parsed = parse_mode_scene_ingress_payload(
+ json.dumps(scene, ensure_ascii=False).encode("utf-8")
+ )
+ assert parsed == scene
+
+ duplicate = (
+ '{"id":"one","id":"two","label":"x","name":"x",'
+ '"background_time":"noon","description":"",'
+ '"icon":"x","aliases":[],"origin":"user",'
+ '"deletable":true,"behavior":"static","domains":["x"],'
+ '"operation_count":1,"scope":{},"profile_revision":"x",'
+ '"actions":[]}'
+ )
+ with pytest.raises(ModeSceneIngressError, match="duplicate key"):
+ parse_mode_scene_ingress_payload(duplicate)
+
+
+def test_three_identical_frames_are_imported_once() -> None:
+ imports: list[dict[str, object]] = []
+ consumer = ModeSceneIngressConsumer(
+ lambda scene: imports.append(dict(scene)) or {"status": "imported"},
+ deduplication_window_s=1.0,
+ )
+ payload = json.dumps(scene_card(), ensure_ascii=False).encode("utf-8")
+ consumer.start()
+ try:
+ for _ in range(3):
+ consumer.submit(payload)
+ assert wait_until(lambda: consumer.snapshot()["processed_count"] == 3)
+ assert imports == [scene_card()]
+ status = consumer.snapshot()
+ assert status["imported_count"] == 1
+ assert status["duplicate_count"] == 2
+ assert status["rejected_count"] == 0
+ finally:
+ consumer.close()
+
+
+def test_failed_import_does_not_suppress_identical_retry() -> None:
+ importer = MagicMock(
+ side_effect=[
+ RuntimeError("temporary persistence failure"),
+ {"status": "imported"},
+ ]
+ )
+ consumer = ModeSceneIngressConsumer(
+ importer,
+ deduplication_window_s=1.0,
+ )
+ payload = json.dumps(scene_card(), ensure_ascii=False).encode("utf-8")
+ consumer.start()
+ try:
+ consumer.submit(payload)
+ assert wait_until(lambda: consumer.snapshot()["processed_count"] == 1)
+ first_status = consumer.snapshot()
+ assert first_status["rejected_count"] == 1
+ assert first_status["imported_count"] == 0
+
+ consumer.submit(payload)
+ assert wait_until(lambda: consumer.snapshot()["processed_count"] == 2)
+ retry_status = consumer.snapshot()
+ assert retry_status["rejected_count"] == 1
+ assert retry_status["imported_count"] == 1
+ assert retry_status["duplicate_count"] == 0
+ assert importer.call_count == 2
+
+ consumer.submit(payload)
+ assert wait_until(lambda: consumer.snapshot()["processed_count"] == 3)
+ final_status = consumer.snapshot()
+ assert final_status["duplicate_count"] == 1
+ assert importer.call_count == 2
+ finally:
+ consumer.close()
+
+
+def test_import_upserts_yaml_refreshes_catalog_and_does_not_echo(
+ tmp_path: Path,
+) -> None:
+ service = configured_service(tmp_path)
+ service.configure_mode_scene_catalog(tmp_path / "scenes.json")
+ outbound = MagicMock()
+ service._vehicle_mqtt_transport.publish_mode_scene = outbound
+
+ first = service.import_n7_mode_scene(scene_card(temperature=24))
+ updated = service.import_n7_mode_scene(scene_card(temperature=26))
+
+ assert first["scene_id"] == "n7-reading"
+ assert updated["scene_id"] == "n7-reading"
+ profiles = service.mode_profiles.public_modes("denza_n7")
+ assert len(profiles) == 1
+ profile = profiles[0]
+ assert profile["origin"] == "n7_mqtt"
+ assert profile["source_topic"] == "from_n7/scenes"
+ assert profile["upstream_origin"] == "user"
+ assert profile["operations"][0]["parameters"] == {"temperature_c": 26}
+
+ catalog = service.mode_scene_catalog("denza_n7")
+ assert catalog["scene_count"] == 1
+ card = catalog["scenes"][0]
+ assert card["origin"] == "n7_mqtt"
+ assert card["source_topic"] == "from_n7/scenes"
+ assert card["actions"] == scene_card(temperature=26)["actions"]
+ assert card["actions"][0]["at_ms"] == 250
+ assert outbound.call_count == 0
+
+ yaml_path = Path(service.mode_profiles.get_profile("n7-reading", "denza_n7").source)
+ yaml_text = yaml_path.read_text(encoding="utf-8")
+ assert "sync_origin: from_n7/scenes" in yaml_text
+ assert "upstream_origin: user" in yaml_text
+
+
+def test_unknown_n7_action_is_forwarded_once_only_during_hardware_execution(
+ tmp_path: Path,
+) -> None:
+ service = configured_service(tmp_path)
+ unknown = scene_card()
+ unknown.update(
+ domains=["media"],
+ operation_count=1,
+ actions=[
+ {
+ "type": "media_play_favorite",
+ "at_ms": 0,
+ "domain": "media",
+ "capability": "media.play_favorite",
+ "target_scope": "vehicle",
+ "operation": "play",
+ "parameters": {"playlist": "focus"},
+ }
+ ],
+ )
+ service.import_n7_mode_scene(unknown)
+ publisher = MagicMock(
+ return_value={
+ "topic": "transto_n7/ctl",
+ "qos": 1,
+ "retain": False,
+ "delivery_status": "published",
+ "message_id": 7,
+ }
+ )
+ service._vehicle_mqtt_transport.publish_n7_control_transfer = publisher
+
+ dry_run = service.execute_mode_profile_card(
+ "n7-reading",
+ execution_mode="dry_run",
+ control_transport="wireless_mqtt",
+ )
+ assert dry_run["status"] == "capability_unavailable"
+ publisher.assert_not_called()
+
+ result = service.execute_mode_profile_card(
+ "n7-reading",
+ execution_mode="hardware",
+ control_transport="wireless_mqtt",
+ )
+
+ assert result["status"] == "capability_unavailable"
+ assert result["n7_control_transfer"]["state"] == "published"
+ publisher.assert_called_once()
+ payload = publisher.call_args.args[0]
+ assert payload == {
+ "scene_id": "n7-reading",
+ "scene_name": "N7 阅读模式",
+ "request_id": result["request_id"],
+ "operation_count": 1,
+ "actions": deepcopy(unknown["actions"]),
+ }
+ assert result["deferred_requests"][0]["transport_submitted"] is False
+
+
+def test_mixed_n7_scene_compiles_every_local_action_and_preserves_transfer(
+ tmp_path: Path,
+) -> None:
+ service = configured_service(tmp_path)
+ scene = cinema_scene_card()
+ service.import_n7_mode_scene(scene)
+
+ result = service.execute_mode_profile_card(
+ "cinema",
+ execution_mode="dry_run",
+ control_transport="wireless_mqtt",
+ )
+
+ assert result["status"] == "partially_succeeded"
+ assert not [
+ issue
+ for issue in result["validation"]
+ if issue.get("severity") == "error"
+ ]
+ compiled_operations = [
+ operation
+ for config in result["function_configs"].values()
+ for operation in config["spec"]["operations"]
+ ]
+ assert len(compiled_operations) == 16
+ assert all(
+ operation.get("parse_source") == "saved_mode_command_flow"
+ for operation in compiled_operations
+ )
+ assert {
+ operation["target"]["zone"]
+ for operation in compiled_operations
+ if operation["capability"] == "window.set_position"
+ } == {"front_left", "front_right", "rear_left", "rear_right"}
+ transferred = scene["actions"][5]
+ assert result["n7_transfer_candidates"] == [transferred]
+ assert result["deferred_requests"] == [
+ {
+ "domain": "local_vehicle",
+ "capability": "local_scene.seat_preset",
+ "target_scope": "vehicle",
+ "desired_change": "set",
+ "parameters": {"targets_pulse": [246, 112, 405, 342]},
+ "reason": "当前 PC 未注册该能力，将由 N7 端继续处理。",
+ "execution_backend": "n7_vehicle_transfer",
+ "rejection_code": "PC_CAPABILITY_UNAVAILABLE",
+ "transport_submitted": False,
+ }
+ ]
+ assert len(compiled_operations) + len(result["n7_transfer_candidates"]) == len(
+ scene["actions"]
+ )
+
+ text_result = service.process(
+ "进入Cinema mode模式",
+ provider="local",
+ conversation_id="conv-n7-cinema-text",
+ execution_mode="dry_run",
+ vehicle_id="denza_n7",
+ control_transport="wireless_mqtt",
+ )
+ assert text_result["status"] == "partially_succeeded"
+ assert text_result["mode_profile"] is None
+ assert [item["id"] for item in text_result["matched_modes"]] == ["cinema"]
+ assert len(text_result["n7_transfer_candidates"]) == 1
+ assert service.mode_profiles.match_text(
+ "氛围灯设置为Cinema mode模式",
+ vehicle_id="denza_n7",
+ ) == []
+
+ catalog_mode = next(
+ mode
+ for mode in AssistantCapabilityCatalog(service).snapshot("denza_n7")["modes"]
+ if mode["id"] == "cinema"
+ )
+ assert catalog_mode["assistant_callable"] is True
+ assert catalog_mode["n7_transfer_operation_ids"] == [
+ "local_scene.seat_preset"
+ ]
+
+
+@pytest.mark.parametrize(
+ ("domain", "target_scope", "parameters"),
+ [
+ ("media", "passenger", {"temperature_c": 24}),
+ ("climate", "unsupported_zone", {"temperature_c": 24}),
+ ("climate", "passenger", {"unsupported_parameter": 24}),
+ ],
+)
+def test_registered_but_invalid_action_is_not_forwarded_to_n7(
+ tmp_path: Path,
+ domain: str,
+ target_scope: str,
+ parameters: dict[str, object],
+) -> None:
+ service = configured_service(tmp_path)
+ invalid = scene_card()
+ invalid["actions"] = [
+ {
+ "type": "climate_temperature",
+ "at_ms": 0,
+ "domain": domain,
+ "capability": "climate.set_temperature",
+ "target_scope": target_scope,
+ "operation": "set",
+ "parameters": parameters,
+ }
+ ]
+ service.import_n7_mode_scene(invalid)
+ profile = service.get_mode_profile_card("n7-reading", "denza_n7")
+
+ local_requests, transfer_actions = service._mode_requests_and_n7_transfers(profile)
+
+ assert len(local_requests) == 1
+ assert transfer_actions == []
+
+
+def test_frontend_marks_n7_synchronized_cards() -> None:
+ script = (REPOSITORY_ROOT / "apps" / "web-console" / "app.js").read_text(
+ encoding="utf-8"
+ )
+ styles = (
+ REPOSITORY_ROOT / "apps" / "web-console" / "styles.css"
+ ).read_text(encoding="utf-8")
+ assert 'mode?.origin === "n7_mqtt"' in script
+ assert 'sourceBadge.textContent = "N7 同步"' in script
+ assert ".mode-gallery-source-badge" in styles
+
+
+def test_mode_profile_sync_status_exposes_catalog_and_ingress_counters(
+ tmp_path: Path,
+) -> None:
+ service = configured_service(tmp_path)
+ service.configure_mode_scene_catalog(tmp_path / "scenes.json")
+
+ status = service.mode_profile_sync_status()
+
+ assert len(status["catalog_revision"]) == 16
+ assert status["scene_count"] == 0
+ assert status["catalog_state"] == "ready"
+ assert status["mode_scene_ingress"]["imported_count"] == 0
+
+
+def test_frontend_polls_lightweight_status_and_refreshes_on_n7_import() -> None:
+ script = (REPOSITORY_ROOT / "apps" / "web-console" / "app.js").read_text(
+ encoding="utf-8"
+ )
+
+ assert 'apiRequest("/api/mode-profiles/status"' in script
+ assert "MODE_PROFILE_SYNC_POLL_INTERVAL_MS = 1000" in script
+ assert 'document.visibilityState === "hidden"' in script
+ assert "if (catalogChanged || (imported && !sceneAlreadyVisible))" in script
+ assert "await loadRuntime()" in script
+ assert "revealModeProfile(sceneId)" in script
+ assert "已从 N7 同步模式卡片" in script
+ assert "N7 模式卡片导入失败" in script
diff --git a/tests/unit/test_mqtt_can_transport.py b/tests/unit/test_mqtt_can_transport.py
index ce555d3..cf9f74e 100644
--- a/tests/unit/test_mqtt_can_transport.py
+++ b/tests/unit/test_mqtt_can_transport.py
@@ -19,11 +19,14 @@ from cognitive_agent.infrastructure.can.mqtt_transport import (
MQTT_CAN_SCHEMA,
MQTT_EXTENSION_CONTROL_TOPIC,
MQTT_EXTENSION_TOY_TOPIC,
+ MQTT_MODE_SCENE_INGRESS_TOPIC,
MQTT_MODE_SCENE_TOPIC,
+ MQTT_N7_CONTROL_TRANSFER_TOPIC,
MQTT_PET_TOPIC,
MqttCanTransport,
mqtt_extension_toy_payload,
mqtt_mode_scene_payload,
+ mqtt_n7_control_transfer_payload,
mqtt_pet_payload,
parse_mqtt_can_payload,
)
@@ -739,6 +742,82 @@ class MqttCanTransportTests(unittest.TestCase):
}
)
+ def test_n7_mode_scene_ingress_dispatches_raw_bytes_and_rejects_retained(
+ self,
+ ) -> None:
+ received: list[bytes] = []
+ self.transport.set_mode_scene_ingress_handler(received.append)
+ scene = {
+ "id": "n7-reading",
+ "label": "N7 阅读模式",
+ "name": "N7 阅读模式",
+ "background_time": "noon",
+ "description": "车端同步模式。",
+ "icon": "book-open",
+ "aliases": ["N7 阅读模式"],
+ "origin": "user",
+ "deletable": True,
+ "behavior": "static",
+ "domains": ["interior_light"],
+ "operation_count": 1,
+ "scope": {"common": False, "vehicle_ids": ["denza_n7"]},
+ "profile_revision": "remote-revision",
+ "actions": [
+ {
+ "type": "interior_light_reading_power",
+ "at_ms": 0,
+ "domain": "interior_light",
+ "capability": "interior_light.set_reading_power",
+ "target_scope": "all",
+ "operation": "set",
+ "parameters": {"state": "on"},
+ }
+ ],
+ }
+
+ self.client.emit(MQTT_MODE_SCENE_INGRESS_TOPIC, scene)
+ self.client.emit(MQTT_MODE_SCENE_INGRESS_TOPIC, scene, retain=True)
+
+ self.assertEqual(len(received), 1)
+ self.assertEqual(json.loads(received[0]), scene)
+ status = self.transport.public_info()["mode_scene_ingress"]
+ self.assertTrue(status["handler_configured"])
+ self.assertEqual(status["received_count"], 2)
+ self.assertEqual(status["dispatched_count"], 1)
+ self.assertEqual(status["rejected_count"], 1)
+ self.assertEqual(status["retained_count"], 1)
+
+ def test_n7_control_transfer_uses_fixed_qos_one_topic_and_never_retains(
+ self,
+ ) -> None:
+ payload = {
+ "scene_id": "n7-reading",
+ "scene_name": "N7 阅读模式",
+ "request_id": "req-20260916000000-1234567890abcdef",
+ "operation_count": 1,
+ "actions": [
+ {
+ "type": "n7_media",
+ "at_ms": 0,
+ "domain": "media",
+ "capability": "media.play_favorite",
+ "target_scope": "vehicle",
+ "operation": "play",
+ "parameters": {"playlist": "focus"},
+ }
+ ],
+ }
+
+ publication = self.transport.publish_n7_control_transfer(payload)
+
+ topic, raw_payload, qos, retain = self.client.published[-1]
+ self.assertEqual(topic, MQTT_N7_CONTROL_TRANSFER_TOPIC)
+ self.assertEqual(raw_payload, mqtt_n7_control_transfer_payload(payload))
+ self.assertEqual(json.loads(raw_payload), payload)
+ self.assertEqual(qos, 1)
+ self.assertFalse(retain)
+ self.assertEqual(publication["delivery_status"], "published")
+
def test_condition_frames_use_existing_decoder_and_snapshot_contract(self) -> None:
self.client.emit(
"n7/n7-headunit/can/state",
@@ -775,6 +854,7 @@ class MqttCanTransportTests(unittest.TestCase):
[
("n7/n7-headunit/can/state", 1),
(MQTT_EXTENSION_CONTROL_TOPIC, 1),
+ (MQTT_MODE_SCENE_INGRESS_TOPIC, 1),
],
)
diff --git a/tests/unit/test_nfc_frontend_contract.py b/tests/unit/test_nfc_frontend_contract.py
index 64834f1..bc0c483 100644
--- a/tests/unit/test_nfc_frontend_contract.py
+++ b/tests/unit/test_nfc_frontend_contract.py
@@ -61,7 +61,7 @@ def test_unified_console_exposes_device_id_based_nfc_authorization() -> None:
assert '.v2-nfc-command-list' in styles
assert '.v2-nfc-command-option' in styles
assert '.v2-nfc-select-all' in styles
- assert 'self-extension.js?v=pet-settings-52' in html
+ assert 'self-extension.js?v=pet-settings-53-performance' in html
assert 'import "../self-extension.css";' in vite_entry
@@ -209,5 +209,5 @@ def test_main_parsed_control_panel_renders_validated_infrared_operations() -> No
assert "下发控制指令" in console
assert "已解析控制指令" not in console
assert 'li[data-can-channel="IR"]' in styles
- assert "console-v2.js?v=local-first-76" in html
+ assert "console-v2.js?v=local-first-77-performance" in html
assert 'speech_semantic: "语音语义"' in console
diff --git a/tests/unit/test_start_n7web.py b/tests/unit/test_start_n7web.py
new file mode 100644
index 0000000..7c0c34d
--- /dev/null
+++ b/tests/unit/test_start_n7web.py
@@ -0,0 +1,36 @@
+from __future__ import annotations
+
+import socket
+from types import SimpleNamespace
+
+import pytest
+
+from tools import start_n7web
+
+
+def test_tcp_port_probe_detects_an_existing_listener() -> None:
+ with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as listener:
+ listener.bind(("127.0.0.1", 0))
+ listener.listen(1)
+
+ assert start_n7web._tcp_port_is_listening( # noqa: SLF001
+ "0.0.0.0",
+ listener.getsockname()[1],
+ )
+
+
+def test_startup_rejects_a_duplicate_service_port(monkeypatch: pytest.MonkeyPatch) -> None:
+ args = SimpleNamespace(
+ host="127.0.0.1",
+ port=8000,
+ scene_bind="0.0.0.0",
+ scene_port=8090,
+ )
+ monkeypatch.setattr(
+ start_n7web,
+ "_tcp_port_is_listening",
+ lambda _host, port: port == 8000,
+ )
+
+ with pytest.raises(RuntimeError, match="stop the previous N7Web instance"):
+ start_n7web._ensure_service_ports_available(args) # noqa: SLF001
diff --git a/tests/unit/test_vue_frontend_contract.py b/tests/unit/test_vue_frontend_contract.py
index 8932297..50b6efb 100644
--- a/tests/unit/test_vue_frontend_contract.py
+++ b/tests/unit/test_vue_frontend_contract.py
@@ -31,7 +31,7 @@ def test_vue_vite_application_is_the_primary_frontend_entry() -> None:
assert package["scripts"]["build"] == "vite build"
assert 'import vue from "@vitejs/plugin-vue"' in vite
assert 'outDir: outputRoot' in vite
- assert 'const CACHE_VERSION = "cognitive-agent-pad-v317-nfc-auth-routing"' in service_worker
+ assert 'const CACHE_VERSION = "cognitive-agent-pad-v321-n7-dispatch"' in service_worker
assert "unpkg.com" not in html
assert "cdn.jsdelivr.net" not in html
diff --git a/tools/start_n7web.py b/tools/start_n7web.py
index af025e4..15e6e07 100644
--- a/tools/start_n7web.py
+++ b/tools/start_n7web.py
@@ -8,6 +8,7 @@ import json
import os
import shlex
import shutil
+import socket
import subprocess
import sys
import time
@@ -183,6 +184,41 @@ def _display_command(command: Sequence[str]) -> str:
return shlex.join(command)
+def _probe_host(bind_address: str) -> str:
+ address = str(bind_address).strip()
+ if address in {"", "0.0.0.0"}:
+ return "127.0.0.1"
+ if address == "::":
+ return "::1"
+ return address
+
+
+def _tcp_port_is_listening(bind_address: str, port: int) -> bool:
+ try:
+ with socket.create_connection((_probe_host(bind_address), port), timeout=0.25):
+ return True
+ except OSError:
+ return False
+
+
+def _ensure_service_ports_available(args: argparse.Namespace) -> None:
+ endpoints = (
+ ("main N7Web service", args.host, args.port),
+ ("LAN mode-card service", args.scene_bind, args.scene_port),
+ )
+ occupied = [
+ f"{name} ({_probe_host(host)}:{port})"
+ for name, host, port in endpoints
+ if _tcp_port_is_listening(host, port)
+ ]
+ if occupied:
+ joined = ", ".join(occupied)
+ raise RuntimeError(
+ f"service port already in use: {joined}; stop the previous N7Web "
+ "instance before starting another"
+ )
+
+
def _resolve_npm() -> Path:
executable = shutil.which("npm.cmd" if os.name == "nt" else "npm")
if not executable:
@@ -314,13 +350,13 @@ def run(argv: Sequence[str] | None = None) -> int:
if args.dry_run:
return 0
-
- if npm is not None:
- try:
+ try:
+ _ensure_service_ports_available(args)
+ if npm is not None:
_build_web_console(npm)
- except RuntimeError as exc:
- print(f"startup failed: {exc}", file=sys.stderr, flush=True)
- return 1
+ except RuntimeError as exc:
+ print(f"startup failed: {exc}", file=sys.stderr, flush=True)
+ return 1
children: list[ChildProcess] = []
interrupted = False