feat: route mode cards through AI assistant

tests/unit/test_assistant_frontend_contract.py

@@ -19,7 +19,7 @@ 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-v275"' in service_worker
+    assert 'const CACHE_VERSION = "cognitive-agent-pad-v276"' in service_worker
     assert '"/assistant-chat.css?v=codex-assistant-26"' in service_worker
     assert '"/assistant-chat.js?v=codex-assistant-26"' in service_worker
 

tests/unit/test_energy_monitor_frontend_contract.py

@@ -38,7 +38,7 @@ def test_energy_monitor_assets_are_versioned_and_cached() -> None:
     assert html.index("/assistant-chat.js?v=codex-assistant-26") < html.index(
         "/energy-monitor.js?v=energy-monitor-4"
     )
-    assert 'const CACHE_VERSION = "cognitive-agent-pad-v275"' in service_worker
+    assert 'const CACHE_VERSION = "cognitive-agent-pad-v276"' in service_worker
 
 
 def test_energy_monitor_uses_the_fifth_shared_dock_icon_and_starts_closed() -> None:

tests/unit/test_frontend_theme_contract.py

@@ -47,7 +47,7 @@ def test_theme_asset_versions_are_consistent_with_the_pwa_shell() -> None:
     ):
         assert asset in html
         assert f'"{asset}"' in service_worker
-    assert 'const CACHE_VERSION = "cognitive-agent-pad-v275"' in service_worker
+    assert 'const CACHE_VERSION = "cognitive-agent-pad-v276"' in service_worker
 
 
 def test_vehicle_twin_icons_and_nested_overlays_use_semantic_tokens() -> None:

tests/unit/test_mode_gallery_grouping.py

@@ -248,3 +248,114 @@ def test_top_mode_action_formatter_uses_device_target_action_and_parameter_value
         "action": "设置空调温度",
         "parameters": "目标温度：25 ℃",
     }
+
+
+def test_mode_cards_open_assistant_and_submit_enter_mode_command() -> None:
+    app = (WEB / "app.js").read_text(encoding="utf-8")
+    start = app.index("function applyModeCommand")
+    end = app.index("\n\nfunction applyRuntimeTargetPolicy", start)
+    snippet = app[start:end]
+    script = "const snippet = " + json.dumps(snippet) + ";\n" + r"""
+const vm = require("node:vm");
+const calls = [];
+const input = {
+  value: "",
+  dataset: { speechStage: "final", speechUtteranceId: "old", speechValue: "old" },
+  dispatchEvent(event) { calls.push(["input", event.type, event.bubbles, this.value]); },
+};
+const form = { requestSubmit() { calls.push(["submit", input.value]); } };
+const runButton = { disabled: false };
+const savedMode = {
+  id: "reading-user",
+  name: "阅读模式",
+  command_flow: { source_request_id: "saved-request" },
+};
+const context = {
+  Event: class Event {
+    constructor(type, options = {}) { this.type = type; this.bubbles = options.bubbles; }
+  },
+  window: {
+    CognitiveAgentAssistant: {
+      isPending() { return false; },
+      open() { calls.push(["open"]); },
+    },
+  },
+  modeProfiles() { return [savedMode]; },
+  setModeRailSelection(mode) { calls.push(["select", mode?.id]); },
+  closeModeGallery(options) { calls.push(["close", options.restoreFocus]); },
+  showToast(message) { calls.push(["toast", message]); },
+  $(selector) {
+    return { "#utterance": input, "#requestForm": form, "#runButton": runButton }[selector];
+  },
+};
+vm.createContext(context);
+vm.runInContext(snippet + '\nthis.result = applyModeCommand(" 进入阅读模式 ", "reading-user");', context);
+console.log(JSON.stringify({
+  result: context.result,
+  calls,
+  value: input.value,
+  speechDataset: input.dataset,
+}));
+"""
+    completed = subprocess.run(
+        [node_runtime(), "-e", script],
+        check=True,
+        capture_output=True,
+        text=True,
+        encoding="utf-8",
+    )
+    result = json.loads(completed.stdout)
+
+    assert result["result"] is True
+    assert result["calls"] == [
+        ["select", "reading-user"],
+        ["close", False],
+        ["open"],
+        ["input", "input", True, "进入阅读模式"],
+        ["submit", "进入阅读模式"],
+    ]
+    assert result["value"] == "进入阅读模式"
+    assert result["speechDataset"] == {}
+    assert "executeSavedModeProfile" not in snippet
+
+
+def test_mode_cards_do_not_submit_while_assistant_is_busy() -> None:
+    app = (WEB / "app.js").read_text(encoding="utf-8")
+    start = app.index("function applyModeCommand")
+    end = app.index("\n\nfunction applyRuntimeTargetPolicy", start)
+    snippet = app[start:end]
+    script = "const snippet = " + json.dumps(snippet) + ";\n" + r"""
+const vm = require("node:vm");
+const calls = [];
+const context = {
+  window: { CognitiveAgentAssistant: { isPending() { return true; } } },
+  showToast(message) { calls.push(message); },
+};
+vm.createContext(context);
+vm.runInContext(snippet + '\nthis.result = applyModeCommand("进入办公模式", "office");', context);
+console.log(JSON.stringify({ result: context.result, calls }));
+"""
+    completed = subprocess.run(
+        [node_runtime(), "-e", script],
+        check=True,
+        capture_output=True,
+        text=True,
+        encoding="utf-8",
+    )
+    result = json.loads(completed.stdout)
+
+    assert result == {
+        "result": False,
+        "calls": ["AI助手正在处理上一条指令，请稍候"],
+    }
+
+
+def test_top_and_management_mode_cards_share_the_assistant_submission_entrypoint() -> None:
+    app = (WEB / "app.js").read_text(encoding="utf-8")
+    install_start = app.index('document.addEventListener("DOMContentLoaded"')
+    handlers = app[install_start:]
+
+    assert handlers.count("if (button) applyModeCommand(") == 2
+    assert '$(".mode-chips").addEventListener("click"' in handlers
+    assert '$("#modeGalleryGroups").addEventListener("click"' in handlers
+    assert app.count('button.dataset.modeCommand = `进入${mode.name}`;') == 2