Files
zhenxun_bot/zhenxun/services/ai/utils/scope.py
52f7dbdedf ♻️ refactor(core): 重构 AI 编排框架与记忆及 RAG 子系统 (#2149)
* ♻️ refactor(core): 重构 AI 编排框架与记忆及 RAG 子系统

- 【重构】重构 `BaseRunnable` 并引入统一的 `RunIntent` 意图载体,规范 Agent、Team 和 Workflow 的执行流
- 【解耦】将中期记忆槽和长期向量记忆从 `MemoryConfig` 中解耦,转为独立的能力组件与工具箱进行管理
- 【记忆】移除 `MemoryReader` 和 `MemoryWriter`,统一封装为 `SessionMemoryContext` 会话记忆门面
- 【RAG】重构检索器与存储后端接口,统一采用 `QueryRequest` 进行多维度联合检索,并引入 `InMemoryScorer` 提升打分性能
- 【事件】优化 `EventBus` 异步事件分发机制,引入队列机制确保事件按序处理,避免并发竞态问题
- 【依赖注入】移除 `memory` 注入项,优化 `DependencyInjector` 的签名解析缓存以提升性能

* 🚨 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>
2026-07-14 16:48:33 +08:00

228 lines
7.3 KiB
Python

from collections.abc import Callable
import re
from typing import Any, Generic, TypeVar
from typing_extensions import Self
from pydantic import BaseModel, Field
from zhenxun.utils.utils import infer_plugin_namespace
class ScopeSelector(BaseModel):
"""领域驱动:统一的作用域与实体资源选择器"""
base_prefix: str | None = None
"""基础路径前缀。"""
session_id: str | None = None
"""特定的会话 ID,如指定则绕过前缀拼接,直接作为统一路径。"""
platform: str | None = None
"""目标平台标识(如 'qq')。"""
group_id: str | None = None
"""目标群组 ID。"""
user_id: str | None = None
"""目标用户 ID。"""
namespace: str | None = None
"""插件命名空间标识。"""
agent_name: str | None = None
"""具体智能体标识。"""
bot_id: str | None = None
"""触发环境的 Bot ID。"""
custom_dimensions: dict[str, str] = Field(default_factory=dict)
"""动态的自定义隔离维度字典。"""
def get_scope_parts(self) -> list[str]:
"""获取标准化的路径分段"""
parts = []
if self.base_prefix:
clean = self.base_prefix.strip("/")
if clean:
parts.append(clean)
if self.platform:
parts.append(f"p_{self.platform}")
if self.bot_id:
parts.append(f"b_{self.bot_id}")
if self.group_id:
parts.append(f"g_{self.group_id}")
if self.user_id:
parts.append(f"u_{self.user_id}")
if self.namespace:
parts.append(f"ns_{self.namespace}")
if self.agent_name:
parts.append(f"ag_{self.agent_name}")
for k, v in self.custom_dimensions.items():
parts.append(f"{k}_{v}")
return parts
@property
def scope_prefix(self) -> str:
"""统一的路径生成逻辑"""
if self.session_id:
return self.session_id
parts = self.get_scope_parts()
return "/" + "/".join(parts) if parts else "/"
T_Builder = TypeVar("T_Builder", bound="BaseScopeBuilder")
class BaseScopeBuilder(Generic[T_Builder]):
"""
泛型化作用域构建器基类 (Fluent Builder)。
为继承 of 子类提供极简的链式调用 API,用于快速指定平台、群组、用户等。
"""
def __init__(self):
self._selector = ScopeSelector()
def bot(self, b: str) -> Self:
"""指定目标 Bot ID"""
self._selector.bot_id = b
return self
def platform(self, p: str) -> Self:
"""指定目标平台标识 (如 'qq')"""
self._selector.platform = p
return self
def group(self, g: str) -> Self:
"""指定目标群组 ID"""
self._selector.group_id = g
return self
def user(self, u: str) -> Self:
"""指定目标用户 ID"""
self._selector.user_id = u
return self
def namespace(self, ns: str) -> Self:
"""指定插件命名空间 (如 'rpg_game')"""
self._selector.namespace = ns
return self
def agent(self, a: str) -> Self:
"""指定具体的 Agent 智能体名称"""
self._selector.agent_name = a
return self
def session(self, sid: str) -> Self:
"""直接指定完整的 Session ID 绕过前缀拼接"""
self._selector.session_id = sid
return self
def current(self, bot: Any = None, event: Any = None) -> Self:
"""自动提取当前触发上下文的特征,匹配当前用户/群组"""
from zhenxun.services.ai.run.context import NoneBotDeps
from zhenxun.services.ai.utils.runtime import ContextUtils
deps = (
NoneBotDeps(bot=bot, event=event)
if bot and event
else NoneBotDeps.get_current()
)
if deps:
self._selector.platform = ContextUtils.extract_platform(deps)
bot_inst = getattr(deps, "bot", None)
if bot_inst and hasattr(bot_inst, "self_id"):
self._selector.bot_id = str(bot_inst.self_id)
self._selector.group_id = ContextUtils.extract_group_id(deps)
self._selector.user_id = ContextUtils.extract_user_id(deps)
return self
def normalize_scope_path(path: str) -> str:
"""标准化作用域路径,消除多余的斜杠并确保以 / 开头"""
if not path or path == "/":
return "/"
path = re.sub(r"/+", "/", path)
if not path.startswith("/"):
path = "/" + path
if len(path) > 1:
path = path.rstrip("/")
return path
class ScopeBuilder:
"""流式作用域声明构建器,用于在顶层配置并在底层延迟提取具体的维度值"""
def __init__(self):
"""初始化作用域声明构建器。"""
self._dims: set[str] = set()
self._customs: dict[str, Callable[[Any], str | None]] = {}
def bot(self) -> Self:
"""声明隔离维度包含 Bot ID。"""
self._dims.add("bot")
return self
def platform(self) -> Self:
"""声明隔离维度包含平台类型。"""
self._dims.add("platform")
return self
def group(self) -> Self:
"""声明隔离维度包含群组 ID。"""
self._dims.add("group")
return self
def user(self) -> Self:
"""声明隔离维度包含用户 ID。"""
self._dims.add("user")
return self
def namespace(self) -> Self:
"""声明隔离维度包含插件命名空间。"""
self._dims.add("namespace")
return self
def agent(self) -> Self:
"""声明隔离维度包含智能体名称。"""
self._dims.add("agent")
return self
def custom(
self, key: str, value_extractor: str | Callable[[Any], str | None]
) -> Self:
"""声明自定义的隔离维度及值提取器。"""
if isinstance(value_extractor, str):
self._customs[key] = lambda _: value_extractor
else:
self._customs[key] = value_extractor
return self
def resolve(
self,
deps: Any,
prefix: str = "",
default_namespace: str | None = None,
default_agent: str | None = None,
) -> ScopeSelector:
"""解析当前上下文依赖并生成作用域选择器实例。"""
from zhenxun.services.ai.utils.runtime import ContextUtils
selector = ScopeSelector(base_prefix=prefix)
if "platform" in self._dims:
selector.platform = ContextUtils.extract_platform(deps)
if "bot" in self._dims:
bot_inst = getattr(deps, "bot", None)
if bot_inst and hasattr(bot_inst, "self_id"):
selector.bot_id = str(bot_inst.self_id)
if "group" in self._dims:
selector.group_id = ContextUtils.extract_group_id(deps)
if "user" in self._dims:
selector.user_id = ContextUtils.extract_user_id(deps)
if "namespace" in self._dims:
selector.namespace = (
default_namespace
or getattr(deps, "namespace", None)
or infer_plugin_namespace()
)
if "agent" in self._dims:
selector.agent_name = default_agent
for k, extractor in self._customs.items():
val = extractor(deps)
if val is not None:
selector.custom_dimensions[k] = str(val)
return selector