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* ♻️ refactor(core): 重构 AI 能力与定时任务调度系统 - 【AI 能力与工具】重构 Capability 注册与管理机制,引入 CapabilityManager 统一管理 - 移除全局能力注册表,改用声明式装饰器 `@capability` 进行解耦注册 - 重构工具解析器链,使用统一的 BaseToolResolver 代替原有的多个特定解析器 - 增强工具查询过滤,支持通配符匹配、工具箱过滤和排除标签 - 【定时任务调度】重构定时任务管理器,引入 SchedulerRegistry 统一管理任务元数据 - 引入 JobConfig 聚合定时任务配置,支持用户维度的定时任务调度 - 重构执行分发器,支持并发限制、串行间隔和随机延迟打散 - 【运行上下文】引入 ScheduledDeps 以支持后台和定时任务环境下的依赖注入 - 优化 RunContext,支持从定时任务上下文快速构造,并提供 emit 辅助方法 - 【日志与监控】引入 AILoggerProxy,实现 AI 各模块的专属日志输出 - 将各模块的全局 logger 替换为对应的模块专属日志代理 - 【其他优化】修复 Pydantic V1 兼容层中 model_validator 的装饰器兼容性问题 - 在非交互式环境(如定时任务)中自动隐藏 HITL 交互工具以节省 Token * ♻️ refactor(core): 优化内部导入路径并提升 Pydantic 兼容性 - 【重构】将 `services/ai` 模块内的绝对导入重构为相对导入,优化包结构 - 【重构】移除不必要的 `if TYPE_CHECKING` 保护,通过 `from __future__ import annotations` 直接导入类型 - 【清理】清理 `core/messages/types.py` 中未使用的 `AssistantContentUnion` 等联合类型定义 - 【优化】在 `utils/pydantic_compat.py` 中新增 `model_rebuild` 兼容函数,统一 Pydantic V1/V2 的模型重建逻辑 - 【优化】将部分函数内部的延迟导入提升至模块顶部,规范代码结构 * ♻️ refactor(imports): 优化导入路径为相对导入并清理冗余导入 - 【重构】将 AI 服务相关模块中的绝对导入路径修改为相对导入,提升模块内聚性与可移植性 - 【清理】移除多处函数内部或类方法中未使用的冗余导入,避免循环引用和资源浪费 - 【格式化】微调部分工具装饰器和返回语句的格式与尾随逗号 * 🚨 auto fix by pre-commit hooks --------- Co-authored-by: webjoin111 <455457521@qq.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
202 lines
7.4 KiB
Python
202 lines
7.4 KiB
Python
import asyncio
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from typing import Any, cast
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import nonebot
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from zhenxun.services.ai.config import get_llm_config
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from zhenxun.services.ai.utils.logger import log_sandbox as logger
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from zhenxun.utils.lifespan import LifespanManager
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from .drivers.base import BaseSandboxClient, BaseSandboxSession
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from .models import SandboxBlueprint
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from .registry import SandboxRegistry
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_startup_tasks = set()
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class SandboxManager:
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"""
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沙箱底层环境的全局调度中心。
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负责读取用户配置,并动态分发给对应的安全 Driver 执行。
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"""
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def __init__(self):
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"""初始化沙箱环境管理器,配置活跃会话、会话锁及生存期管理器"""
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self._active_sessions: dict[str, BaseSandboxSession] = {}
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self._session_locks: dict[str, asyncio.Lock] = {}
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self.lifespan_manager = LifespanManager()
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def _get_lock(self, session_id: str) -> asyncio.Lock:
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"""获取或创建指定会话的 asyncio 互斥锁,确保并发操作的安全性"""
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if session_id not in self._session_locks:
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self._session_locks[session_id] = asyncio.Lock()
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return self._session_locks[session_id]
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def _get_client(
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self,
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blueprint: SandboxBlueprint,
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) -> BaseSandboxClient:
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"""根据全局配置和蓝图参数决定并获取具体的沙箱驱动客户端实例"""
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global_type = get_llm_config().sandbox.sandbox_type
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effective_type = (
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blueprint.sandbox_type
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if blueprint.sandbox_type and blueprint.sandbox_type != "auto"
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else global_type
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)
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clients = SandboxRegistry.get_all_clients()
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if effective_type not in clients:
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raise RuntimeError(f"未找到指定的沙箱客户端: {effective_type}")
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return cast(BaseSandboxClient, clients[effective_type]())
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async def get_or_create_session(
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self,
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session_id: str,
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blueprint: SandboxBlueprint | None = None,
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) -> BaseSandboxSession:
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"""根据 Session ID 获取或创建持久化沙箱环境"""
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if not get_llm_config().sandbox.enable_sandbox:
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from zhenxun.services.ai.core.exceptions import SandboxFatalError
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raise SandboxFatalError(
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"全局沙箱功能已关闭(enable_sandbox=False),无法创建运行环境。"
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)
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async with self._get_lock(session_id):
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if not blueprint:
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blueprint = SandboxBlueprint()
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if blueprint.setup_steps:
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blueprint.enable_network = True
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cleanup_timeout = get_llm_config().sandbox.cleanup_timeout
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await self.lifespan_manager.register(
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session_id,
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ttl=float(cleanup_timeout),
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cleanup_callback=self.close_session,
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)
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if session_id in self._active_sessions:
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session = self._active_sessions[session_id]
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is_alive = await session.is_alive()
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if not is_alive:
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logger.warning(f"⚠️ Session '{session_id}' 容器已死亡,重建中。")
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await self.release_resource(session_id)
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else:
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session.touch()
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if blueprint.setup_steps:
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await session.install_dependencies(blueprint)
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await session.apply_blueprint(blueprint)
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for p in blueprint.required_extensions:
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await session.mount_extension(p)
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return session
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logger.info(f"为 Session '{session_id}' 创建沙箱环境...")
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client = self._get_client(blueprint)
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try:
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session = await client.create(session_id, blueprint)
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await session.apply_blueprint(blueprint)
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if blueprint.setup_steps:
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await session.install_dependencies(blueprint)
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for p in blueprint.required_extensions:
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await session.mount_extension(p)
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self._active_sessions[session_id] = session
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return session
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except Exception as e:
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import traceback
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from zhenxun.services.ai.core.exceptions import SandboxFatalError
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err_msg = str(e) or type(e).__name__
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logger.error(f"创建 Session 失败: {err_msg}\n{traceback.format_exc()}")
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if not isinstance(e, SandboxFatalError):
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raise SandboxFatalError(f"沙箱初始化异常: {err_msg}") from e
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raise e
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async def setup_workspace_environment(
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self, session_id: str, workspace_dir: str
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) -> bool:
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"""统一扫描指定工作区,通过 Provisioner 体系完成环境装配"""
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if session_id not in self._active_sessions:
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logger.warning(f"找不到活跃的 Session '{session_id}',无法配置环境。")
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return False
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session = self._active_sessions[session_id]
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from .environments import ProvisionerRegistry
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for prov in ProvisionerRegistry.get_all().values():
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await prov.scan_and_setup_workspace(cast(Any, session), workspace_dir)
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return True
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async def release_resource(self, resource_id: str):
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"""释放指定会话的沙箱资源并销毁底层物理容器"""
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if resource_id in self._active_sessions:
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session = self._active_sessions.pop(resource_id)
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try:
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client_cls = SandboxRegistry.get_client_cls(session.state.sandbox_type)
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client = client_cls()
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await client.delete(cast(Any, session))
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except Exception as e:
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logger.error(f"销毁沙箱环境失败 (Session: {resource_id}): {e}")
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async def close_session(self, session_id: str) -> None:
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"""从生存期管理器中注销并销毁指定会话的沙箱环境"""
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await self.lifespan_manager.unregister(session_id)
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await self.release_resource(session_id)
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async def shutdown_all(self) -> None:
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"""关闭所有当前活跃的沙箱环境并停止生存期监测"""
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keys = list(self._active_sessions.keys())
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for sid in keys:
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await self.close_session(sid)
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await self.lifespan_manager.stop()
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sandbox_manager = SandboxManager()
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driver = nonebot.get_driver()
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@driver.on_startup
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async def _startup_sandboxes():
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"""异步初始化沙箱,触发后台自动清理孤儿容器"""
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if not get_llm_config().sandbox.enable_sandbox:
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return
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clients = SandboxRegistry.get_all_clients()
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if "docker" in clients:
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from .drivers.docker import DockerSandboxClient
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async def _delayed_silent_cleanup():
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await asyncio.sleep(15)
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try:
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await DockerSandboxClient.silent_prune_orphans()
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except Exception:
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pass
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task = asyncio.create_task(_delayed_silent_cleanup())
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_startup_tasks.add(task)
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task.add_done_callback(_startup_tasks.discard)
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@driver.on_shutdown
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async def _shutdown_sandboxes():
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"""在系统关闭时优雅关闭所有沙箱并清理 Docker 环境"""
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if not get_llm_config().sandbox.enable_sandbox:
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return
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await sandbox_manager.shutdown_all()
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clients = SandboxRegistry.get_all_clients()
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if "docker" in clients and getattr(clients["docker"], "_engine_available", False):
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from .drivers.docker import DockerSandboxClient
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await DockerSandboxClient.close_env()
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