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zhenxun_bot/zhenxun/services/ai/sandbox/manager.py
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922d092650 ♻️ refactor(core): 重构 AI 能力与定时任务调度系统 (#2148)
* ♻️ 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>
2026-07-10 09:14:06 +08:00

202 lines
7.4 KiB
Python

import asyncio
from typing import Any, cast
import nonebot
from zhenxun.services.ai.config import get_llm_config
from zhenxun.services.ai.utils.logger import log_sandbox as logger
from zhenxun.utils.lifespan import LifespanManager
from .drivers.base import BaseSandboxClient, BaseSandboxSession
from .models import SandboxBlueprint
from .registry import SandboxRegistry
_startup_tasks = set()
class SandboxManager:
"""
沙箱底层环境的全局调度中心。
负责读取用户配置,并动态分发给对应的安全 Driver 执行。
"""
def __init__(self):
"""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"""
self._active_sessions: dict[str, BaseSandboxSession] = {}
self._session_locks: dict[str, asyncio.Lock] = {}
self.lifespan_manager = LifespanManager()
def _get_lock(self, session_id: str) -> asyncio.Lock:
"""获取或创建指定会话的 asyncio 互斥锁,确保并发操作的安全性"""
if session_id not in self._session_locks:
self._session_locks[session_id] = asyncio.Lock()
return self._session_locks[session_id]
def _get_client(
self,
blueprint: SandboxBlueprint,
) -> BaseSandboxClient:
"""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"""
global_type = get_llm_config().sandbox.sandbox_type
effective_type = (
blueprint.sandbox_type
if blueprint.sandbox_type and blueprint.sandbox_type != "auto"
else global_type
)
clients = SandboxRegistry.get_all_clients()
if effective_type not in clients:
raise RuntimeError(f"未找到指定的沙箱客户端: {effective_type}")
return cast(BaseSandboxClient, clients[effective_type]())
async def get_or_create_session(
self,
session_id: str,
blueprint: SandboxBlueprint | None = None,
) -> BaseSandboxSession:
"""根据 Session ID 获取或创建持久化沙箱环境"""
if not get_llm_config().sandbox.enable_sandbox:
from zhenxun.services.ai.core.exceptions import SandboxFatalError
raise SandboxFatalError(
"全局沙箱功能已关闭(enable_sandbox=False),无法创建运行环境。"
)
async with self._get_lock(session_id):
if not blueprint:
blueprint = SandboxBlueprint()
if blueprint.setup_steps:
blueprint.enable_network = True
cleanup_timeout = get_llm_config().sandbox.cleanup_timeout
await self.lifespan_manager.register(
session_id,
ttl=float(cleanup_timeout),
cleanup_callback=self.close_session,
)
if session_id in self._active_sessions:
session = self._active_sessions[session_id]
is_alive = await session.is_alive()
if not is_alive:
logger.warning(f"⚠️ Session '{session_id}' 容器已死亡,重建中。")
await self.release_resource(session_id)
else:
session.touch()
if blueprint.setup_steps:
await session.install_dependencies(blueprint)
await session.apply_blueprint(blueprint)
for p in blueprint.required_extensions:
await session.mount_extension(p)
return session
logger.info(f"为 Session '{session_id}' 创建沙箱环境...")
client = self._get_client(blueprint)
try:
session = await client.create(session_id, blueprint)
await session.apply_blueprint(blueprint)
if blueprint.setup_steps:
await session.install_dependencies(blueprint)
for p in blueprint.required_extensions:
await session.mount_extension(p)
self._active_sessions[session_id] = session
return session
except Exception as e:
import traceback
from zhenxun.services.ai.core.exceptions import SandboxFatalError
err_msg = str(e) or type(e).__name__
logger.error(f"创建 Session 失败: {err_msg}\n{traceback.format_exc()}")
if not isinstance(e, SandboxFatalError):
raise SandboxFatalError(f"沙箱初始化异常: {err_msg}") from e
raise e
async def setup_workspace_environment(
self, session_id: str, workspace_dir: str
) -> bool:
"""统一扫描指定工作区,通过 Provisioner 体系完成环境装配"""
if session_id not in self._active_sessions:
logger.warning(f"找不到活跃的 Session '{session_id}',无法配置环境。")
return False
session = self._active_sessions[session_id]
from .environments import ProvisionerRegistry
for prov in ProvisionerRegistry.get_all().values():
await prov.scan_and_setup_workspace(cast(Any, session), workspace_dir)
return True
async def release_resource(self, resource_id: str):
"""释放指定会话的沙箱资源并销毁底层物理容器"""
if resource_id in self._active_sessions:
session = self._active_sessions.pop(resource_id)
try:
client_cls = SandboxRegistry.get_client_cls(session.state.sandbox_type)
client = client_cls()
await client.delete(cast(Any, session))
except Exception as e:
logger.error(f"销毁沙箱环境失败 (Session: {resource_id}): {e}")
async def close_session(self, session_id: str) -> None:
"""从生存期管理器中注销并销毁指定会话的沙箱环境"""
await self.lifespan_manager.unregister(session_id)
await self.release_resource(session_id)
async def shutdown_all(self) -> None:
"""关闭所有当前活跃的沙箱环境并停止生存期监测"""
keys = list(self._active_sessions.keys())
for sid in keys:
await self.close_session(sid)
await self.lifespan_manager.stop()
sandbox_manager = SandboxManager()
driver = nonebot.get_driver()
@driver.on_startup
async def _startup_sandboxes():
"""异步初始化沙箱,触发后台自动清理孤儿容器"""
if not get_llm_config().sandbox.enable_sandbox:
return
clients = SandboxRegistry.get_all_clients()
if "docker" in clients:
from .drivers.docker import DockerSandboxClient
async def _delayed_silent_cleanup():
await asyncio.sleep(15)
try:
await DockerSandboxClient.silent_prune_orphans()
except Exception:
pass
task = asyncio.create_task(_delayed_silent_cleanup())
_startup_tasks.add(task)
task.add_done_callback(_startup_tasks.discard)
@driver.on_shutdown
async def _shutdown_sandboxes():
"""在系统关闭时优雅关闭所有沙箱并清理 Docker 环境"""
if not get_llm_config().sandbox.enable_sandbox:
return
await sandbox_manager.shutdown_all()
clients = SandboxRegistry.get_all_clients()
if "docker" in clients and getattr(clients["docker"], "_engine_available", False):
from .drivers.docker import DockerSandboxClient
await DockerSandboxClient.close_env()