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* ✨ feat!(llm): 重构并升级大语言模型服务为全新 AI 智能体框架 - 【重构】将原 services/llm 重构并迁移至全新的 services/ai 架构,提供向下兼容垫片 - 【新增】引入 Agent、Team、Workflow 三大智能体与工作流编排范式 - 【新增】引入基于 RAG 的长期向量记忆与中期槽位记忆系统 - 【新增】引入基于 Docker 的安全代码执行沙箱环境 - 【新增】支持 MCP 协议,允许动态管理和调用 MCP 服务 - 【新增】引入输入输出安全合规护栏与自愈反思机制 - 【优化】重构并优化多厂商 API 适配器 (Gemini, OpenAI, DeepSeek, GLM 等) - 【优化】优化日志脱敏与 Token 预估机制 - 【移除】移除旧版 llm default 和 llm reset-key 命令,新增 llm mcp 管理命令 * 🔧 chore(deps): 更新项目依赖与配置 - 添加 mcp、jieba 和 aiodocker 依赖到配置文件及 requirements.txt - 在 pyright 配置中设置 reportMissingImports 为 none - 调整 .gitignore 中 resources 目录的忽略规则 * ♻️ refactor(tools): 重构工具终止机制并清理知识库日志输出 - 统一使用 `context.state["__end_run__"]` 替代 `EndRunResult` 控制任务结束 - 移除文件系统和向量知识库检索工具中 `ToolResult` 的 `.with_log` 调用 - 调整指令处理器(Directive)的返回值为 `tool_res.output` - 修复部分类型检查警告并优化联合类型判断语法 * ♻️ refactor(tools): 重构工具副作用指令与控制流熔断机制 - 引入 `DirectivePayload` 及 `ToolResult` 的子类以结构化表达工具副作用 - 移除通过 `context.state` 传递魔术变量的隐式控制流设计 - 重构 `DirectiveManager` 处理器接口,直接在处理器中修改 `AgentState` 并构建 `AgentRunResult` - 在 `StandardAgentExecutor` 中统一通过 `directive_manager` 调度工具返回的副作用指令 - 补全 `MessageBuilder` 中部分核心方法的文档注释 * 🐛 fix(sandbox): 修复 Docker 沙箱容器状态检测与会话清理逻辑 -【修复】修正 `is_alive` 中直接读取私有属性的问题,改用 `show()` 返回值 -【修复】解决 `execute_code` 中缓存的执行器与当前会话不一致的问题 -【优化】在清理工作区前增加容器存活检测,避免向已死容器发送请求 -【优化】创建容器时增加运行状态校验,若已停止则自动从缓存中移除并重建 -【优化】优化容器销毁和清理逻辑,静默处理容器不存在 (404) 的异常 * 📝 docs(core): 补充核心模块初始化方法的文档注释 * 🚨 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>
227 lines
7.4 KiB
Python
227 lines
7.4 KiB
Python
from collections.abc import Callable
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import re
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from typing import Any, Generic, TypeVar
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from typing_extensions import Self
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from pydantic import BaseModel, Field
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class ScopeSelector(BaseModel):
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"""领域驱动:统一的作用域与实体资源选择器"""
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base_prefix: str | None = None
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"""基础路径前缀。"""
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session_id: str | None = None
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"""特定的会话 ID,如指定则绕过前缀拼接,直接作为统一路径。"""
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platform: str | None = None
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"""目标平台标识(如 'qq')。"""
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group_id: str | None = None
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"""目标群组 ID。"""
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user_id: str | None = None
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"""目标用户 ID。"""
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namespace: str | None = None
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"""插件命名空间标识。"""
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agent_name: str | None = None
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"""具体智能体标识。"""
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bot_id: str | None = None
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"""触发环境的 Bot ID。"""
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custom_dimensions: dict[str, str] = Field(default_factory=dict)
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"""动态的自定义隔离维度字典。"""
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def get_scope_parts(self) -> list[str]:
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"""获取标准化的路径分段"""
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parts = []
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if self.base_prefix:
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clean = self.base_prefix.strip("/")
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if clean:
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parts.append(clean)
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if self.platform:
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parts.append(f"p_{self.platform}")
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if self.bot_id:
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parts.append(f"b_{self.bot_id}")
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if self.group_id:
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parts.append(f"g_{self.group_id}")
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if self.user_id:
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parts.append(f"u_{self.user_id}")
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if self.namespace:
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parts.append(f"ns_{self.namespace}")
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if self.agent_name:
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parts.append(f"ag_{self.agent_name}")
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for k, v in self.custom_dimensions.items():
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parts.append(f"{k}_{v}")
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return parts
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@property
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def scope_prefix(self) -> str:
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"""统一的路径生成逻辑"""
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if self.session_id:
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return self.session_id
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parts = self.get_scope_parts()
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return "/" + "/".join(parts) if parts else "/"
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T_Builder = TypeVar("T_Builder", bound="BaseScopeBuilder")
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class BaseScopeBuilder(Generic[T_Builder]):
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"""
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泛型化作用域构建器基类 (Fluent Builder)。
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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。
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"""
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def __init__(self):
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self._selector = ScopeSelector()
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def bot(self, b: str) -> Self:
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"""指定目标 Bot ID"""
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self._selector.bot_id = b
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return self
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def platform(self, p: str) -> Self:
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"""指定目标平台标识 (如 'qq')"""
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self._selector.platform = p
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return self
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def group(self, g: str) -> Self:
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"""指定目标群组 ID"""
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self._selector.group_id = g
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return self
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def user(self, u: str) -> Self:
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"""指定目标用户 ID"""
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self._selector.user_id = u
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return self
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def namespace(self, ns: str) -> Self:
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"""指定插件命名空间 (如 'rpg_game')"""
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self._selector.namespace = ns
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return self
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def agent(self, a: str) -> Self:
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"""指定具体的 Agent 智能体名称"""
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self._selector.agent_name = a
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return self
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def session(self, sid: str) -> Self:
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"""直接指定完整的 Session ID 绕过前缀拼接"""
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self._selector.session_id = sid
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return self
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def current(self, bot: Any = None, event: Any = None) -> Self:
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"""自动提取当前触发上下文的特征,匹配当前用户/群组"""
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from zhenxun.services.ai.run.context import NoneBotDeps
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from zhenxun.services.ai.utils.runtime import ContextUtils
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deps = (
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NoneBotDeps(bot=bot, event=event)
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if bot and event
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else NoneBotDeps.get_current()
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)
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if deps:
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self._selector.platform = ContextUtils.extract_platform(deps)
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bot_inst = getattr(deps, "bot", None)
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if bot_inst and hasattr(bot_inst, "self_id"):
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self._selector.bot_id = str(bot_inst.self_id)
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self._selector.group_id = ContextUtils.extract_group_id(deps)
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self._selector.user_id = ContextUtils.extract_user_id(deps)
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return self
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def normalize_scope_path(path: str) -> str:
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"""标准化作用域路径,消除多余的斜杠并确保以 / 开头"""
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if not path or path == "/":
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return "/"
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path = re.sub(r"/+", "/", path)
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if not path.startswith("/"):
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path = "/" + path
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if len(path) > 1:
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path = path.rstrip("/")
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return path
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class ScopeBuilder:
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"""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"""
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def __init__(self):
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"""初始化作用域声明构建器。"""
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self._dims: set[str] = set()
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self._customs: dict[str, Callable[[Any], str | None]] = {}
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def bot(self) -> Self:
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"""声明隔离维度包含 Bot ID。"""
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self._dims.add("bot")
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return self
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def platform(self) -> Self:
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"""声明隔离维度包含平台类型。"""
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self._dims.add("platform")
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return self
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def group(self) -> Self:
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"""声明隔离维度包含群组 ID。"""
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self._dims.add("group")
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return self
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def user(self) -> Self:
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"""声明隔离维度包含用户 ID。"""
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self._dims.add("user")
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return self
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def namespace(self) -> Self:
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"""声明隔离维度包含插件命名空间。"""
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self._dims.add("namespace")
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return self
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def agent(self) -> Self:
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"""声明隔离维度包含智能体名称。"""
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self._dims.add("agent")
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return self
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def custom(
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self, key: str, value_extractor: str | Callable[[Any], str | None]
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) -> Self:
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"""声明自定义的隔离维度及值提取器。"""
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if isinstance(value_extractor, str):
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self._customs[key] = lambda _: value_extractor
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else:
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self._customs[key] = value_extractor
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return self
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def resolve(
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self,
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deps: Any,
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prefix: str = "",
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default_namespace: str | None = None,
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default_agent: str | None = None,
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) -> ScopeSelector:
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"""解析当前上下文依赖并生成作用域选择器实例。"""
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from zhenxun.services.ai.utils.runtime import ContextUtils
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from zhenxun.utils.utils import infer_plugin_namespace
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selector = ScopeSelector(base_prefix=prefix)
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if "platform" in self._dims:
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selector.platform = ContextUtils.extract_platform(deps)
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if "bot" in self._dims:
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bot_inst = getattr(deps, "bot", None)
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if bot_inst and hasattr(bot_inst, "self_id"):
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selector.bot_id = str(bot_inst.self_id)
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if "group" in self._dims:
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selector.group_id = ContextUtils.extract_group_id(deps)
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if "user" in self._dims:
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selector.user_id = ContextUtils.extract_user_id(deps)
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if "namespace" in self._dims:
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selector.namespace = (
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default_namespace
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or getattr(deps, "namespace", None)
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or infer_plugin_namespace(default="global")
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)
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if "agent" in self._dims:
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selector.agent_name = default_agent
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for k, extractor in self._customs.items():
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val = extractor(deps)
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if val is not None:
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selector.custom_dimensions[k] = str(val)
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return selector
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