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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>
174 lines
5.9 KiB
Python
174 lines
5.9 KiB
Python
from typing import Any
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from nonebot.adapters import Bot, Event
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from zhenxun.services.ai.utils.scope import ScopeBuilder
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class ContextUtils:
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"""
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从底层依赖容器 (deps) 中提取运行环境信息的纯静态工具类。
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"""
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@staticmethod
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def extract_user_id(deps: Any) -> str | None:
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"""从依赖容器中提取当前用户的 ID"""
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if not deps:
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return None
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if hasattr(deps, "user_id") and getattr(deps, "user_id") is not None:
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return str(getattr(deps, "user_id"))
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event = getattr(deps, "event", None)
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if event:
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try:
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return str(event.get_user_id())
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except Exception:
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return (
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str(getattr(event, "user_id", ""))
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or str(getattr(event, "sender_id", ""))
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or None
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)
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return None
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@staticmethod
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def extract_group_id(deps: Any) -> str | None:
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"""从依赖容器中提取当前群聊的 ID"""
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if not deps:
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return None
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if hasattr(deps, "group_id") and getattr(deps, "group_id") is not None:
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return str(getattr(deps, "group_id"))
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event = getattr(deps, "event", None)
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if event:
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return str(getattr(event, "group_id", "")) or None
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return None
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@staticmethod
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def extract_platform(deps: Any) -> str:
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"""从依赖容器的 Bot 实例中提取当前聊天平台名称"""
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if not deps:
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return "unknown"
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if hasattr(deps, "platform") and getattr(deps, "platform") is not None:
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return str(getattr(deps, "platform"))
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bot = getattr(deps, "bot", None)
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if bot:
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from zhenxun.utils.platform import PlatformUtils
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return PlatformUtils.get_platform(bot)
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return "unknown"
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@staticmethod
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def extract_concurrency_lock_id(
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context: Any, scope: Any, default_session_id: str
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) -> str:
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"""根据并发隔离范围 scope 动态计算并返回当前会话的并发锁 ID"""
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from zhenxun.services.ai.flow.base import ConcurrencyScope
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scope = scope or ConcurrencyScope.GROUP
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ns = getattr(getattr(context, "session", None), "namespace", "global")
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ns_suffix = f"_{ns}" if ns and ns != "global" else ""
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if scope == ConcurrencyScope.GLOBAL:
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return f"lock_global{ns_suffix}"
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elif scope == ConcurrencyScope.GROUP:
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gid = ContextUtils.extract_group_id(getattr(context, "deps", None))
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uid = ContextUtils.extract_user_id(getattr(context, "deps", None))
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return (
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f"lock_group_{gid}{ns_suffix}" if gid else f"lock_user_{uid}{ns_suffix}"
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)
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elif scope == ConcurrencyScope.USER:
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uid = ContextUtils.extract_user_id(getattr(context, "deps", None))
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return (
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f"lock_user_{uid}{ns_suffix}"
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if uid
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else f"lock_default_user{ns_suffix}"
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)
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else:
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return f"lock_session_{default_session_id}"
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@staticmethod
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def generate_session_meta(
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bot: Bot,
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event: Event | None = None,
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deps: Any | None = None,
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scope_builder: ScopeBuilder | None = None,
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prefix: str = "",
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namespace: str | None = None,
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agent_name: str | None = None,
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) -> Any:
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"""根据事件和隔离级别,自动提取生成基于路径作用域的 SessionMetadata"""
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from zhenxun.services.ai.context.memory.types import (
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Isolation,
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SessionMetadata,
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)
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from zhenxun.services.ai.run.context import NoneBotDeps
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if scope_builder is None:
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scope_builder = Isolation.AGENT_USER()
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if deps is None:
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deps = NoneBotDeps(bot=bot, event=event) if event else NoneBotDeps(bot=bot)
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selector = scope_builder.resolve(
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deps=deps,
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prefix=prefix,
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default_namespace=namespace,
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default_agent=agent_name,
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)
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parts = selector.get_scope_parts()
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session_id = selector.scope_prefix
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scope_prefix = selector.scope_prefix
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all_scopes = {"/"}
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current_path = ""
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for part in parts:
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current_path += f"/{part}"
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all_scopes.add(current_path)
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accessible_scopes = list(all_scopes)
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accessible_scopes.sort(key=lambda x: len(x.split("/")))
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return SessionMetadata(
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session_id=session_id,
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scope_prefix=scope_prefix,
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accessible_scopes=accessible_scopes,
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selector=selector,
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isolation_level=scope_builder,
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)
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class PermissionUtils:
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"""运行时权限校验通用工具类"""
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@staticmethod
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async def check_superuser(context: Any) -> bool:
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"""异步校验当前运行上下文中的用户是否为超级用户"""
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bot = context.get_bot()
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event = context.get_event()
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if bot and event:
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from nonebot.permission import SUPERUSER
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return await SUPERUSER(bot, event)
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return False
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@staticmethod
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async def check_admin_level(context: Any, min_level: int) -> bool:
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"""异步校验当前用户在全局或当前群聊中的管理权限等级是否达到最低要求"""
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if await PermissionUtils.check_superuser(context):
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return True
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user_id = context.get_user_id()
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group_id = context.get_group_id()
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if not user_id:
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return False
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from zhenxun.services.cache.runtime_cache import LevelUserMemoryCache
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global_user, group_users = await LevelUserMemoryCache.get_levels(
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user_id, group_id
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)
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user_level = global_user.user_level if global_user else 0
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if group_id and group_users:
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user_level = max(user_level, group_users.user_level)
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return user_level >= min_level
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