18a0e7664a
- Removed unused core action mirror functionality from PluginRunnerSupervisor. - Simplified action and command execution logic in send_service.py. - Introduced ComponentQueryService for unified component querying in plugin runtime. - Enhanced message component handling with new binary component support. - Improved message sequence construction and detection of outbound message flags. - Updated methods for sending messages to streamline the process and improve readability.
285 lines
9.9 KiB
Python
285 lines
9.9 KiB
Python
"""核心组件查询层与插件运行时聚合测试。"""
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from types import SimpleNamespace
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from typing import Any
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import pytest
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import src.plugin_runtime.integration as integration_module
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from src.core.types import ActionInfo, ToolInfo
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from src.plugin_runtime.component_query import component_query_service
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from src.plugin_runtime.host.supervisor import PluginSupervisor
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class _FakeRuntimeManager:
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"""测试用插件运行时管理器。"""
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def __init__(self, supervisor: PluginSupervisor, plugin_id: str, plugin_config: dict[str, Any]) -> None:
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"""初始化测试用运行时管理器。
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Args:
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supervisor: 持有测试组件的监督器。
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plugin_id: 目标插件 ID。
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plugin_config: 需要返回的插件配置。
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"""
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self.supervisors = [supervisor]
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self._plugin_id = plugin_id
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self._plugin_config = plugin_config
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def _get_supervisor_for_plugin(self, plugin_id: str) -> PluginSupervisor | None:
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"""按插件 ID 返回对应监督器。
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Args:
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plugin_id: 目标插件 ID。
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Returns:
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PluginSupervisor | None: 命中时返回监督器。
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"""
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return self.supervisors[0] if plugin_id == self._plugin_id else None
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def _load_plugin_config_for_supervisor(self, supervisor: Any, plugin_id: str) -> dict[str, Any]:
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"""返回测试配置。
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Args:
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supervisor: 监督器实例。
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plugin_id: 目标插件 ID。
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Returns:
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dict[str, Any]: 测试配置内容。
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"""
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del supervisor
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if plugin_id != self._plugin_id:
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return {}
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return dict(self._plugin_config)
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def _install_runtime_manager(
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monkeypatch: pytest.MonkeyPatch,
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supervisor: PluginSupervisor,
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plugin_id: str,
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plugin_config: dict[str, Any] | None = None,
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) -> None:
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"""为测试安装假的运行时管理器。
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Args:
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monkeypatch: pytest monkeypatch 对象。
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supervisor: 持有测试组件的监督器。
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plugin_id: 测试插件 ID。
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plugin_config: 可选的测试配置内容。
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"""
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fake_manager = _FakeRuntimeManager(supervisor, plugin_id, plugin_config or {"enabled": True})
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monkeypatch.setattr(integration_module, "get_plugin_runtime_manager", lambda: fake_manager)
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@pytest.mark.asyncio
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async def test_core_component_registry_reads_runtime_action_and_executor(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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"""核心查询层应直接读取运行时 Action，并返回 RPC 执行闭包。"""
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plugin_id = "runtime_action_bridge_plugin"
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action_name = "runtime_action_bridge_test"
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supervisor = PluginSupervisor(plugin_dirs=[])
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captured: dict[str, Any] = {}
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supervisor.component_registry.register_component(
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name=action_name,
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component_type="ACTION",
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plugin_id=plugin_id,
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metadata={
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"description": "发送一个测试回复",
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"enabled": True,
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"activation_type": "keyword",
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"activation_probability": 0.25,
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"activation_keywords": ["测试", "hello"],
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"action_parameters": {"target": "目标对象"},
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"action_require": ["需要发送回复时使用"],
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"associated_types": ["text"],
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"parallel_action": True,
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},
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)
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_install_runtime_manager(monkeypatch, supervisor, plugin_id, {"enabled": True, "mode": "test"})
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async def fake_invoke_plugin(
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method: str,
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plugin_id: str,
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component_name: str,
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args: dict[str, Any] | None = None,
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timeout_ms: int = 30000,
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) -> Any:
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"""模拟动作 RPC 调用。"""
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captured["method"] = method
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captured["plugin_id"] = plugin_id
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captured["component_name"] = component_name
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captured["args"] = args or {}
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captured["timeout_ms"] = timeout_ms
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return SimpleNamespace(payload={"success": True, "result": (True, "runtime action executed")})
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monkeypatch.setattr(supervisor, "invoke_plugin", fake_invoke_plugin)
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action_info = component_query_service.get_action_info(action_name)
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assert isinstance(action_info, ActionInfo)
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assert action_info.plugin_name == plugin_id
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assert action_info.description == "发送一个测试回复"
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assert action_info.activation_keywords == ["测试", "hello"]
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assert action_info.random_activation_probability == 0.25
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assert action_info.parallel_action is True
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assert action_name in component_query_service.get_default_actions()
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assert component_query_service.get_plugin_config(plugin_id) == {"enabled": True, "mode": "test"}
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executor = component_query_service.get_action_executor(action_name)
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assert executor is not None
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success, reason = await executor(
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action_data={"target": "MaiBot"},
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action_reasoning="当前适合使用这个动作",
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cycle_timers={"planner": 0.1},
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thinking_id="tid-1",
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chat_stream=SimpleNamespace(session_id="stream-1"),
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log_prefix="[test]",
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shutting_down=False,
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plugin_config={"enabled": True},
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)
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assert success is True
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assert reason == "runtime action executed"
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assert captured["method"] == "plugin.invoke_action"
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assert captured["plugin_id"] == plugin_id
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assert captured["component_name"] == action_name
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assert captured["args"]["stream_id"] == "stream-1"
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assert captured["args"]["chat_id"] == "stream-1"
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assert captured["args"]["reasoning"] == "当前适合使用这个动作"
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assert captured["args"]["target"] == "MaiBot"
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assert captured["args"]["action_data"] == {"target": "MaiBot"}
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@pytest.mark.asyncio
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async def test_core_component_registry_reads_runtime_command_and_executor(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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"""核心查询层应直接使用运行时命令匹配与执行闭包。"""
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plugin_id = "runtime_command_bridge_plugin"
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command_name = "runtime_command_bridge_test"
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supervisor = PluginSupervisor(plugin_dirs=[])
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captured: dict[str, Any] = {}
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supervisor.component_registry.register_component(
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name=command_name,
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component_type="COMMAND",
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plugin_id=plugin_id,
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metadata={
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"description": "测试命令",
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"enabled": True,
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"command_pattern": r"^/test(?:\s+.+)?$",
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"aliases": ["/hello"],
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"intercept_message_level": 1,
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},
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)
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_install_runtime_manager(monkeypatch, supervisor, plugin_id, {"mode": "command"})
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async def fake_invoke_plugin(
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method: str,
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plugin_id: str,
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component_name: str,
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args: dict[str, Any] | None = None,
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timeout_ms: int = 30000,
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) -> Any:
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"""模拟命令 RPC 调用。"""
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captured["method"] = method
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captured["plugin_id"] = plugin_id
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captured["component_name"] = component_name
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captured["args"] = args or {}
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captured["timeout_ms"] = timeout_ms
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return SimpleNamespace(payload={"success": True, "result": (True, "command ok", True)})
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monkeypatch.setattr(supervisor, "invoke_plugin", fake_invoke_plugin)
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matched = component_query_service.find_command_by_text("/test hello")
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assert matched is not None
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command_executor, matched_groups, command_info = matched
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assert matched_groups == {}
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assert command_info.plugin_name == plugin_id
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assert command_info.command_pattern == r"^/test(?:\s+.+)?$"
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success, response_text, intercept = await command_executor(
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message=SimpleNamespace(processed_plain_text="/test hello", session_id="stream-2"),
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plugin_config={"mode": "command"},
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matched_groups=matched_groups,
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)
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assert success is True
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assert response_text == "command ok"
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assert intercept is True
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assert captured["method"] == "plugin.invoke_command"
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assert captured["plugin_id"] == plugin_id
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assert captured["component_name"] == command_name
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assert captured["args"]["text"] == "/test hello"
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assert captured["args"]["stream_id"] == "stream-2"
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assert captured["args"]["plugin_config"] == {"mode": "command"}
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@pytest.mark.asyncio
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async def test_core_component_registry_reads_runtime_tools_and_executor(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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"""核心查询层应直接读取运行时 Tool，并返回 RPC 执行闭包。"""
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plugin_id = "runtime_tool_bridge_plugin"
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tool_name = "runtime_tool_bridge_test"
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supervisor = PluginSupervisor(plugin_dirs=[])
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supervisor.component_registry.register_component(
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name=tool_name,
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component_type="TOOL",
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plugin_id=plugin_id,
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metadata={
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"description": "测试工具",
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"enabled": True,
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"parameters": [
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{
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"name": "query",
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"param_type": "string",
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"description": "查询词",
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"required": True,
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}
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],
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},
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)
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_install_runtime_manager(monkeypatch, supervisor, plugin_id)
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async def fake_invoke_plugin(
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method: str,
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plugin_id: str,
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component_name: str,
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args: dict[str, Any] | None = None,
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timeout_ms: int = 30000,
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) -> Any:
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"""模拟工具 RPC 调用。"""
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del timeout_ms
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assert method == "plugin.invoke_tool"
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assert plugin_id == "runtime_tool_bridge_plugin"
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assert component_name == "runtime_tool_bridge_test"
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assert args == {"query": "MaiBot"}
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return SimpleNamespace(payload={"success": True, "result": {"content": "tool ok"}})
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monkeypatch.setattr(supervisor, "invoke_plugin", fake_invoke_plugin)
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tool_info = component_query_service.get_tool_info(tool_name)
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assert isinstance(tool_info, ToolInfo)
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assert tool_info.tool_description == "测试工具"
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assert tool_name in component_query_service.get_llm_available_tools()
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executor = component_query_service.get_tool_executor(tool_name)
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assert executor is not None
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assert await executor({"query": "MaiBot"}) == {"content": "tool ok"}
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