15d436b3a1
- 将 A_Memorix 从旧 submodule / 插件形态迁入主线源码，主体落到 src/A_memorix - 调整主程序接入方式，使 A_Memorix 作为源码内长期记忆子系统运行 - 回收父项目插件体系中针对 A_Memorix 的特判，减少对 plugin 通用层的侵入 - 将长期记忆配置、运行时、自检、导入、调优等能力收口到 memory 路由与主线服务层 - 重做长期记忆控制台与图谱页面，按 MaiBot 现有 dashboard 风格接入 - 补充实体关系图与证据视图双视图能力，支持查看节点、关系、段落及其证据链路 - 新增长期记忆配置编辑器与 memory-api，支持主线内配置管理 - 补齐删除管理能力：删除预览、混合删除、来源批量删除、删除操作恢复 - 优化删除预览与删除操作详情的前端展示，支持分页、检索，并以实体名/关系内容/段落摘要替代单纯 hash 展示 - 修复图谱与控制台相关前端问题，包括证据视图切换、查询触发时机、删除弹层空值保护等 - 新增或更新 A_Memorix 相关测试、WebUI 路由测试、前端 vitest 测试与辅助验证脚本 - 移除旧 plugins/A_memorix、.gitmodules 及相关历史维护文档
291 lines
12 KiB
Python
291 lines
12 KiB
Python
"""Legacy compatibility entry for upstream/plugin-style integrations.
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MaiBot 主线当前通过 `src.A_memorix.host_service` 直接接入 A_Memorix，
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不再通过插件运行时发现或加载本模块。
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"""
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from __future__ import annotations
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from typing import Any, Dict, List, Optional
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from maibot_sdk import MaiBotPlugin, Tool
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from maibot_sdk.types import ToolParameterInfo, ToolParamType
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from A_memorix.core.runtime.sdk_memory_kernel import KernelSearchRequest, SDKMemoryKernel
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from A_memorix.paths import repo_root
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def _tool_param(name: str, param_type: ToolParamType, description: str, required: bool) -> ToolParameterInfo:
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return ToolParameterInfo(name=name, param_type=param_type, description=description, required=required)
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_ADMIN_TOOL_PARAMS = [
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_tool_param("action", ToolParamType.STRING, "管理动作", True),
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_tool_param("target", ToolParamType.STRING, "可选目标标识", False),
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]
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class AMemorixPlugin(MaiBotPlugin):
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def __init__(self) -> None:
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super().__init__()
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self._plugin_root = repo_root()
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self._plugin_config: Dict[str, Any] = {}
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self._kernel: Optional[SDKMemoryKernel] = None
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def set_plugin_config(self, config: Dict[str, Any]) -> None:
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self._plugin_config = config or {}
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if self._kernel is not None:
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self._kernel.close()
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self._kernel = None
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async def on_load(self):
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await self._get_kernel()
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async def on_unload(self):
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if self._kernel is not None:
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shutdown = getattr(self._kernel, "shutdown", None)
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if callable(shutdown):
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await shutdown()
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else:
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self._kernel.close()
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self._kernel = None
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async def on_config_update(self, scope: str, config_data: dict[str, Any], version: str) -> None:
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_ = version
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if scope == "self":
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self.set_plugin_config(config_data if isinstance(config_data, dict) else {})
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return
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if scope in {"bot", "model"} and self._kernel is not None:
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shutdown = getattr(self._kernel, "shutdown", None)
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if callable(shutdown):
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await shutdown()
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else:
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self._kernel.close()
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self._kernel = None
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async def _get_kernel(self) -> SDKMemoryKernel:
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if self._kernel is None:
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self._kernel = SDKMemoryKernel(plugin_root=self._plugin_root, config=self._plugin_config)
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await self._kernel.initialize()
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return self._kernel
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async def _dispatch_admin_tool(self, method_name: str, action: str, **kwargs):
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kernel = await self._get_kernel()
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handler = getattr(kernel, method_name)
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return await handler(action=action, **kwargs)
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@Tool(
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"search_memory",
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description="搜索长期记忆",
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parameters=[
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_tool_param("query", ToolParamType.STRING, "查询文本", False),
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_tool_param("limit", ToolParamType.INTEGER, "返回条数", False),
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_tool_param("mode", ToolParamType.STRING, "search/time/hybrid/episode/aggregate", False),
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_tool_param("chat_id", ToolParamType.STRING, "聊天流 ID", False),
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_tool_param("person_id", ToolParamType.STRING, "人物 ID", False),
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_tool_param("time_start", ToolParamType.FLOAT, "起始时间戳", False),
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_tool_param("time_end", ToolParamType.FLOAT, "结束时间戳", False),
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_tool_param("respect_filter", ToolParamType.BOOLEAN, "是否应用聊天过滤配置", False),
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],
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)
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async def handle_search_memory(
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self,
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query: str = "",
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limit: int = 5,
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mode: str = "search",
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chat_id: str = "",
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person_id: str = "",
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time_start: str | float | None = None,
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time_end: str | float | None = None,
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respect_filter: bool = True,
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**kwargs,
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):
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kernel = await self._get_kernel()
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return await kernel.search_memory(
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KernelSearchRequest(
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query=query,
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limit=limit,
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mode=mode,
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chat_id=chat_id,
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person_id=person_id,
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time_start=time_start,
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time_end=time_end,
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respect_filter=respect_filter,
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user_id=str(kwargs.get("user_id", "") or "").strip(),
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group_id=str(kwargs.get("group_id", "") or "").strip(),
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)
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)
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@Tool(
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"ingest_summary",
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description="写入聊天摘要到长期记忆",
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parameters=[
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_tool_param("external_id", ToolParamType.STRING, "外部幂等 ID", True),
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_tool_param("chat_id", ToolParamType.STRING, "聊天流 ID", True),
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_tool_param("text", ToolParamType.STRING, "摘要文本", True),
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_tool_param("time_start", ToolParamType.FLOAT, "起始时间戳", False),
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_tool_param("time_end", ToolParamType.FLOAT, "结束时间戳", False),
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_tool_param("respect_filter", ToolParamType.BOOLEAN, "是否应用聊天过滤配置", False),
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],
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)
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async def handle_ingest_summary(
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self,
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external_id: str,
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chat_id: str,
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text: str,
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participants: Optional[List[str]] = None,
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time_start: float | None = None,
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time_end: float | None = None,
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tags: Optional[List[str]] = None,
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metadata: Optional[Dict[str, Any]] = None,
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respect_filter: bool = True,
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**kwargs,
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):
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kernel = await self._get_kernel()
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return await kernel.ingest_summary(
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external_id=external_id,
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chat_id=chat_id,
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text=text,
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participants=participants,
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time_start=time_start,
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time_end=time_end,
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tags=tags,
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metadata=metadata,
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respect_filter=respect_filter,
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user_id=str(kwargs.get("user_id", "") or "").strip(),
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group_id=str(kwargs.get("group_id", "") or "").strip(),
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)
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@Tool(
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"ingest_text",
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description="写入普通长期记忆文本",
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parameters=[
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_tool_param("external_id", ToolParamType.STRING, "外部幂等 ID", True),
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_tool_param("source_type", ToolParamType.STRING, "来源类型", True),
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_tool_param("text", ToolParamType.STRING, "原始文本", True),
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_tool_param("chat_id", ToolParamType.STRING, "聊天流 ID", False),
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_tool_param("timestamp", ToolParamType.FLOAT, "时间戳", False),
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_tool_param("respect_filter", ToolParamType.BOOLEAN, "是否应用聊天过滤配置", False),
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],
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)
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async def handle_ingest_text(
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self,
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external_id: str,
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source_type: str,
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text: str,
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chat_id: str = "",
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person_ids: Optional[List[str]] = None,
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participants: Optional[List[str]] = None,
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timestamp: float | None = None,
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time_start: float | None = None,
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time_end: float | None = None,
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tags: Optional[List[str]] = None,
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metadata: Optional[Dict[str, Any]] = None,
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respect_filter: bool = True,
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**kwargs,
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):
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relations = kwargs.get("relations")
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entities = kwargs.get("entities")
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kernel = await self._get_kernel()
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return await kernel.ingest_text(
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external_id=external_id,
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source_type=source_type,
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text=text,
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chat_id=chat_id,
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person_ids=person_ids,
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participants=participants,
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timestamp=timestamp,
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time_start=time_start,
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time_end=time_end,
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tags=tags,
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metadata=metadata,
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entities=entities,
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relations=relations,
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respect_filter=respect_filter,
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user_id=str(kwargs.get("user_id", "") or "").strip(),
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group_id=str(kwargs.get("group_id", "") or "").strip(),
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)
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@Tool(
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"get_person_profile",
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description="获取人物画像",
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parameters=[
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_tool_param("person_id", ToolParamType.STRING, "人物 ID", True),
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_tool_param("chat_id", ToolParamType.STRING, "聊天流 ID", False),
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_tool_param("limit", ToolParamType.INTEGER, "证据条数", False),
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],
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)
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async def handle_get_person_profile(self, person_id: str, chat_id: str = "", limit: int = 10, **kwargs):
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_ = kwargs
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kernel = await self._get_kernel()
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return await kernel.get_person_profile(person_id=person_id, chat_id=chat_id, limit=limit)
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@Tool(
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"maintain_memory",
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description="维护长期记忆关系状态",
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parameters=[
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_tool_param("action", ToolParamType.STRING, "reinforce/protect/restore/freeze/recycle_bin", True),
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_tool_param("target", ToolParamType.STRING, "目标哈希或查询文本", False),
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_tool_param("hours", ToolParamType.FLOAT, "保护时长（小时）", False),
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_tool_param("limit", ToolParamType.INTEGER, "查询条数（用于 recycle_bin）", False),
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],
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)
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async def handle_maintain_memory(
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self,
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action: str,
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target: str = "",
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hours: float | None = None,
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reason: str = "",
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limit: int = 50,
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**kwargs,
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):
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_ = kwargs
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kernel = await self._get_kernel()
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return await kernel.maintain_memory(action=action, target=target, hours=hours, reason=reason, limit=limit)
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@Tool("memory_stats", description="获取长期记忆统计", parameters=[])
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async def handle_memory_stats(self, **kwargs):
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_ = kwargs
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kernel = await self._get_kernel()
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return kernel.memory_stats()
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@Tool("memory_graph_admin", description="长期记忆图谱管理接口", parameters=_ADMIN_TOOL_PARAMS)
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async def handle_memory_graph_admin(self, action: str, **kwargs):
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return await self._dispatch_admin_tool("memory_graph_admin", action=action, **kwargs)
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@Tool("memory_source_admin", description="长期记忆来源管理接口", parameters=_ADMIN_TOOL_PARAMS)
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async def handle_memory_source_admin(self, action: str, **kwargs):
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return await self._dispatch_admin_tool("memory_source_admin", action=action, **kwargs)
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@Tool("memory_episode_admin", description="Episode 管理接口", parameters=_ADMIN_TOOL_PARAMS)
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async def handle_memory_episode_admin(self, action: str, **kwargs):
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return await self._dispatch_admin_tool("memory_episode_admin", action=action, **kwargs)
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@Tool("memory_profile_admin", description="人物画像管理接口", parameters=_ADMIN_TOOL_PARAMS)
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async def handle_memory_profile_admin(self, action: str, **kwargs):
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return await self._dispatch_admin_tool("memory_profile_admin", action=action, **kwargs)
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@Tool("memory_runtime_admin", description="长期记忆运行时管理接口", parameters=_ADMIN_TOOL_PARAMS)
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async def handle_memory_runtime_admin(self, action: str, **kwargs):
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return await self._dispatch_admin_tool("memory_runtime_admin", action=action, **kwargs)
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@Tool("memory_import_admin", description="长期记忆导入管理接口", parameters=_ADMIN_TOOL_PARAMS)
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async def handle_memory_import_admin(self, action: str, **kwargs):
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return await self._dispatch_admin_tool("memory_import_admin", action=action, **kwargs)
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@Tool("memory_tuning_admin", description="长期记忆调优管理接口", parameters=_ADMIN_TOOL_PARAMS)
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async def handle_memory_tuning_admin(self, action: str, **kwargs):
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return await self._dispatch_admin_tool("memory_tuning_admin", action=action, **kwargs)
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@Tool("memory_v5_admin", description="长期记忆 V5 管理接口", parameters=_ADMIN_TOOL_PARAMS)
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async def handle_memory_v5_admin(self, action: str, **kwargs):
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return await self._dispatch_admin_tool("memory_v5_admin", action=action, **kwargs)
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@Tool("memory_delete_admin", description="长期记忆删除管理接口", parameters=_ADMIN_TOOL_PARAMS)
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async def handle_memory_delete_admin(self, action: str, **kwargs):
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return await self._dispatch_admin_tool("memory_delete_admin", action=action, **kwargs)
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def create_plugin():
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return AMemorixPlugin()
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