mirror of
https://github.com/jxxghp/MoviePilot.git
synced 2026-10-30 11:54:50 +08:00
271 lines
9.2 KiB
Python
271 lines
9.2 KiB
Python
from typing import Any
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from app.agent.runtime_loader import (
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activate_agent_service,
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begin_agent_shutdown,
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close_materialized_terminal_sessions,
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get_agent_manager as get_runtime_agent_manager,
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get_running_agent_manager as get_runtime_running_agent_manager,
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is_tool_factory_materialized,
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reconcile_agent_service,
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)
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from app.agent.llm.gateway import register_llm_provider_runtime
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from app.application.agent import register_agent_service_providers
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from app.application.messaging.skill import register_skill_catalog_provider
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from app.runtime.settings import RuntimeSettingsCompat
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settings = RuntimeSettingsCompat()
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from app.runtime.events import Event, eventmanager
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from app.runtime.log import logger
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from app.schemas.types import EventType
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AGENT_BLOCKING_EXECUTOR_SHUTDOWN_TIMEOUT_SECONDS = 10.0
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def _get_skill_catalog() -> Any:
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"""按需返回 Agent 技能目录实现，供消息应用层消费端口。"""
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from app.agent.skills.registry import SkillHelper
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return SkillHelper()
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def _get_llm_provider_runtime() -> Any:
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"""按需返回 LLM provider 运行时，实现只在真实调用边界加载。"""
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from app.agent.llm.provider import LLMProviderManager
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return LLMProviderManager()
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# 嵌入式启动器可显式注入 manager；常规进程使用 Capability Runtime。
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agent_manager: Any = None
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def _event_changed_keys(event: Event | None) -> set[str]:
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"""兼容对象和 dict 两种配置事件载荷。"""
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if event is None:
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return set()
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event_data = event.event_data
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if isinstance(event_data, dict):
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keys = event_data.get("key", set())
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else:
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keys = getattr(event_data, "key", set())
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if isinstance(keys, str):
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return {keys}
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return {str(key) for key in (keys or set())}
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def _get_agent_manager() -> Any:
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"""兼容显式注入对象，否则按需解析 canonical manager。"""
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return agent_manager if agent_manager is not None else get_runtime_agent_manager()
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def _get_running_agent_manager() -> Any | None:
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"""只返回已运行实例，状态探测不得触发 Agent 物化。"""
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if agent_initializer._compat_injected:
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return agent_initializer._manager
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return get_runtime_running_agent_manager()
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def _get_prompt_manager() -> Any:
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"""首个提示词调用才导入模板管理器。"""
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from app.agent.prompt import prompt_manager
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return prompt_manager
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def _get_capability_manager() -> Any:
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"""首个多模态调用才导入 Agent 能力管理器。"""
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from app.agent.llm.capability import AgentCapabilityManager
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return AgentCapabilityManager
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def _get_llm_helper() -> Any:
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"""首个模型能力查询才导入 LLM helper。"""
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from app.agent.llm.helper import LLMHelper
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return LLMHelper
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def _get_manual_redo_prompt_builder() -> Any:
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"""首个整理接管请求才导入对应提示词构建器。"""
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from app.agent.prompt.transfer_redo import build_manual_redo_prompt
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return build_manual_redo_prompt
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async def _handle_agent_config_changed(event: Event) -> None:
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"""把配置事件交给当前全局 initializer，避免监听器持有过期实例。"""
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await agent_initializer.handle_config_changed(event)
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class AgentInitializer:
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"""
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AI智能体初始化器
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"""
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def __init__(self):
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self._initialized = False
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self._manager: Any = None
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self._compat_injected = False
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self._shutdown_started = False
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self._shutdown_complete = False
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eventmanager.add_event_listener(
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EventType.ConfigChanged,
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_handle_agent_config_changed,
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)
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async def initialize(self) -> bool:
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"""
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初始化AI智能体管理器
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"""
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try:
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self._shutdown_started = False
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self._shutdown_complete = False
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if agent_manager is not None:
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if not settings.AI_AGENT_ENABLE:
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logger.info("AI智能体功能未启用")
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return True
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self._manager = agent_manager
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self._compat_injected = True
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await agent_manager.initialize()
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else:
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self._manager = await activate_agent_service()
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self._compat_injected = False
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if self._manager is None:
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logger.info("AI智能体功能未启用")
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return True
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self._initialized = True
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logger.info("AI智能体管理器初始化成功")
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return True
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except Exception as e:
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logger.error(f"AI智能体管理器初始化失败: {e}")
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return False
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async def handle_config_changed(self, event: Event) -> None:
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"""仅在 manifest watch 命中时协调 service，关闭态保持 fail closed。"""
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changed_keys = _event_changed_keys(event)
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if (
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not changed_keys
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or self._compat_injected
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or self._shutdown_started
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or self._shutdown_complete
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):
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return
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try:
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self._manager = await reconcile_agent_service(
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reason="agent_service_config_changed",
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changed_keys=changed_keys,
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retry=True,
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)
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self._initialized = self._manager is not None
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except Exception as error:
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self._manager = None
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self._initialized = False
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logger.debug(f"配置变更协调AI智能体失败: {error}")
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async def cleanup(self) -> bool:
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"""清理 initializer 引用；未收敛的显式注入对象继续由本实例持有。"""
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try:
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manager = self._manager
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compat_injected = self._compat_injected
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if manager is None:
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return True
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if compat_injected and await manager.close() is False:
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logger.error("AI智能体管理器仍有会话 owner 未收敛")
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return False
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logger.info("AI智能体管理器已关闭")
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self._initialized = False
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self._manager = None
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self._compat_injected = False
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return True
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except Exception as e:
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logger.debug(f"关闭AI智能体管理器时发生错误: {e}")
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return False
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# 全局AI智能体初始化器实例
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agent_initializer = AgentInitializer()
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# application 门面仅保存 provider；下列注册不会导入 Agent 实现。
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register_agent_service_providers(
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agent_manager_provider=_get_agent_manager,
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running_agent_manager_provider=_get_running_agent_manager,
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prompt_manager_provider=_get_prompt_manager,
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capability_manager_provider=_get_capability_manager,
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llm_helper_provider=_get_llm_helper,
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manual_redo_prompt_builder_provider=_get_manual_redo_prompt_builder,
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)
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register_skill_catalog_provider(_get_skill_catalog)
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register_llm_provider_runtime(_get_llm_provider_runtime)
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async def init_agent() -> bool:
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"""
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在应用事件循环中初始化AI智能体。
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"""
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try:
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return await agent_initializer.initialize()
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except Exception as e:
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logger.error(f"初始化AI智能体时发生错误: {e}")
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return False
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async def stop_agent() -> bool:
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"""
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停止AI智能体，并在全部会话和工具资源释放后返回 True。
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"""
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converged = True
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close_blocking_executors = None
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agent_initializer._shutdown_started = True
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try:
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if is_tool_factory_materialized():
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from app.agent.tools.base import (
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begin_blocking_executor_shutdown,
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close_blocking_executors as close_executors,
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)
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# 必须在任何 manager await 之前封口，避免旧会话趁收尾窗口提交新同步调用。
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begin_blocking_executor_shutdown(cancel_futures=True)
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close_blocking_executors = close_executors
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except Exception as e:
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logger.error(f"封住AI智能体阻塞工具提交时发生错误: {e}")
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converged = False
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try:
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if not agent_initializer._shutdown_complete:
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if agent_initializer._compat_injected:
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service_converged = await agent_initializer.cleanup()
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else:
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service_converged = await begin_agent_shutdown()
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if service_converged is not False:
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service_converged = await agent_initializer.cleanup()
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converged = converged and service_converged is not False
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except Exception as e:
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logger.error(f"停止AI智能体时发生错误: {e}")
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converged = False
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if close_blocking_executors is not None:
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try:
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blocking_converged = await close_blocking_executors(
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timeout_seconds=AGENT_BLOCKING_EXECUTOR_SHUTDOWN_TIMEOUT_SECONDS,
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cancel_futures=True,
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)
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converged = converged and blocking_converged
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except Exception as e:
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logger.error(f"关闭AI智能体阻塞工具线程池时发生错误: {e}")
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converged = False
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if converged:
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try:
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await close_materialized_terminal_sessions()
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except Exception as e:
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logger.error(f"关闭AI智能体终端会话时发生错误: {e}")
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converged = False
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agent_initializer._shutdown_complete = converged
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return converged
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