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