b71f67f7df
* [refactor]Reconstructing forgotten, emotional, situational, and explicit memory statistics * [refactor]Reconstructing forgotten, emotional, situational, and explicit memory statistics * [changes]Improve the code based on AI review
364 lines
13 KiB
Python
364 lines
13 KiB
Python
"""
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遗忘引擎控制器模块
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本模块提供遗忘引擎的 REST API 接口，包括：
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1. 手动触发遗忘周期
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2. 获取和更新配置
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3. 获取统计信息
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4. 获取遗忘曲线数据
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所有接口都需要用户认证，并自动关联到当前工作空间。
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"""
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from typing import Optional
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from fastapi import APIRouter, Depends
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from sqlalchemy.orm import Session
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from app.core.error_codes import BizCode
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from app.core.logging_config import get_api_logger
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from app.core.response_utils import fail, success
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from app.db import get_db
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from app.dependencies import get_current_user
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from app.models.user_model import User
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from app.schemas.memory_storage_schema import (
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ForgettingTriggerRequest,
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ForgettingConfigResponse,
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ForgettingConfigUpdateRequest,
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ForgettingStatsResponse,
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ForgettingReportResponse,
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ForgettingCurveRequest,
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ForgettingCurveResponse,
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ForgettingCurvePoint,
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)
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from app.schemas.response_schema import ApiResponse
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from app.services.memory_forget_service import MemoryForgetService
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# 获取API专用日志器
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api_logger = get_api_logger()
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router = APIRouter(
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prefix="/memory/forget-memory",
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tags=["Memory Forgetting Engine"],
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dependencies=[Depends(get_current_user)] # 所有路由都需要认证
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)
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# 初始化服务
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forget_service = MemoryForgetService()
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# ==================== API 端点 ====================
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@router.post("/trigger", response_model=ApiResponse)
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async def trigger_forgetting_cycle(
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payload: ForgettingTriggerRequest,
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current_user: User = Depends(get_current_user),
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db: Session = Depends(get_db)
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):
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"""
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手动触发遗忘周期
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执行一次完整的遗忘周期，识别并融合低激活值节点。
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Args:
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payload: 触发请求参数
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current_user: 当前用户
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db: 数据库会话
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Returns:
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ApiResponse: 包含遗忘报告的响应
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"""
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workspace_id = current_user.current_workspace_id
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end_user_id = payload.end_user_id # 从 payload 中获取 end_user_id
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# 检查用户是否已选择工作空间
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if workspace_id is None:
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api_logger.warning(f"用户 {current_user.username} 尝试触发遗忘周期但未选择工作空间")
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return fail(BizCode.INVALID_PARAMETER, "请先切换到一个工作空间", "current_workspace_id is None")
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# 通过 end_user_id 获取关联的 config_id
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try:
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from app.services.memory_agent_service import get_end_user_connected_config
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connected_config = get_end_user_connected_config(end_user_id, db)
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config_id = connected_config.get("memory_config_id")
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if config_id is None:
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api_logger.warning(f"终端用户 {end_user_id} 未关联记忆配置")
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return fail(BizCode.INVALID_PARAMETER, f"终端用户 {end_user_id} 未关联记忆配置", "memory_config_id is None")
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api_logger.debug(f"通过 end_user_id={end_user_id} 获取到 config_id={config_id}")
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except ValueError as e:
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api_logger.warning(f"获取终端用户配置失败: {str(e)}")
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return fail(BizCode.INVALID_PARAMETER, str(e), "ValueError")
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except Exception as e:
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api_logger.error(f"获取终端用户配置时发生错误: {str(e)}")
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return fail(BizCode.INTERNAL_ERROR, "获取终端用户配置失败", str(e))
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api_logger.info(
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f"用户 {current_user.username} 在工作空间 {workspace_id} 请求触发遗忘周期: "
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f"end_user_id={end_user_id}, config_id={config_id}, max_batch={payload.max_merge_batch_size}, "
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f"min_days={payload.min_days_since_access}"
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)
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try:
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# 调用服务层执行遗忘周期
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report = await forget_service.trigger_forgetting_cycle(
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db=db,
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group_id=end_user_id, # 服务层方法的参数名是 group_id
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max_merge_batch_size=payload.max_merge_batch_size,
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min_days_since_access=payload.min_days_since_access,
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config_id=config_id
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)
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# 构建响应
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response_data = ForgettingReportResponse(**report)
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return success(data=response_data.model_dump(), msg="遗忘周期执行成功")
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except RuntimeError as e:
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api_logger.warning(f"遗忘周期执行被拒绝: {str(e)}")
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return fail(BizCode.INVALID_PARAMETER, str(e), "RuntimeError")
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except Exception as e:
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api_logger.error(f"触发遗忘周期失败: {str(e)}")
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return fail(BizCode.INTERNAL_ERROR, "触发遗忘周期失败", str(e))
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@router.get("/read_config", response_model=ApiResponse)
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async def read_forgetting_config(
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config_id: int,
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current_user: User = Depends(get_current_user),
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db: Session = Depends(get_db)
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):
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"""
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获取遗忘引擎配置
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读取指定配置ID的遗忘引擎参数。
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Args:
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config_id: 配置ID
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current_user: 当前用户
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db: 数据库会话
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Returns:
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ApiResponse: 包含配置信息的响应
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"""
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workspace_id = current_user.current_workspace_id
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# 检查用户是否已选择工作空间
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if workspace_id is None:
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api_logger.warning(f"用户 {current_user.username} 尝试读取遗忘引擎配置但未选择工作空间")
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return fail(BizCode.INVALID_PARAMETER, "请先切换到一个工作空间", "current_workspace_id is None")
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api_logger.info(
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f"用户 {current_user.username} 在工作空间 {workspace_id} 请求读取遗忘引擎配置: {config_id}"
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)
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try:
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# 调用服务层读取配置
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config = forget_service.read_forgetting_config(db=db, config_id=config_id)
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# 构建响应
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response_data = ForgettingConfigResponse(**config)
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return success(data=response_data.model_dump(), msg="查询成功")
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except ValueError as e:
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api_logger.warning(f"配置不存在: config_id={config_id}, 错误: {str(e)}")
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return fail(BizCode.INVALID_PARAMETER, f"配置不存在: {config_id}", str(e))
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except Exception as e:
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api_logger.error(f"读取遗忘引擎配置失败: {str(e)}")
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return fail(BizCode.INTERNAL_ERROR, "查询遗忘引擎配置失败", str(e))
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@router.post("/update_config", response_model=ApiResponse)
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async def update_forgetting_config(
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payload: ForgettingConfigUpdateRequest,
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current_user: User = Depends(get_current_user),
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db: Session = Depends(get_db)
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):
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"""
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更新遗忘引擎配置
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更新指定配置ID的遗忘引擎参数。
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Args:
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payload: 配置更新请求
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current_user: 当前用户
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db: 数据库会话
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Returns:
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ApiResponse: 包含更新结果的响应
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"""
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workspace_id = current_user.current_workspace_id
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# 检查用户是否已选择工作空间
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if workspace_id is None:
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api_logger.warning(f"用户 {current_user.username} 尝试更新遗忘引擎配置但未选择工作空间")
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return fail(BizCode.INVALID_PARAMETER, "请先切换到一个工作空间", "current_workspace_id is None")
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api_logger.info(
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f"用户 {current_user.username} 在工作空间 {workspace_id} 请求更新遗忘引擎配置: {payload.config_id}"
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)
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try:
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# 构建更新字段字典（排除 None 值和 config_id）
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update_data = {
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key: value
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for key, value in payload.model_dump(exclude_none=True).items()
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if key != 'config_id'
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}
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# 调用服务层更新配置
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config = forget_service.update_forgetting_config(
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db=db,
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config_id=payload.config_id,
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update_fields=update_data
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)
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# 构建响应
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response_data = ForgettingConfigResponse(**config)
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return success(data=response_data.model_dump(), msg="更新成功")
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except ValueError as e:
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api_logger.warning(f"配置不存在: config_id={payload.config_id}, 错误: {str(e)}")
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return fail(BizCode.INVALID_PARAMETER, str(e), "ValueError")
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except Exception as e:
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db.rollback()
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api_logger.error(f"更新遗忘引擎配置失败: {str(e)}")
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return fail(BizCode.INTERNAL_ERROR, "更新遗忘引擎配置失败", str(e))
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@router.get("/stats", response_model=ApiResponse)
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async def get_forgetting_stats(
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group_id: Optional[str] = None,
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current_user: User = Depends(get_current_user),
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db: Session = Depends(get_db)
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):
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"""
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获取遗忘引擎统计信息
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返回知识层节点统计、激活值分布等信息。
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Args:
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group_id: 组ID（即 end_user_id，可选）
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current_user: 当前用户
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db: 数据库会话
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Returns:
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ApiResponse: 包含统计信息的响应
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"""
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workspace_id = current_user.current_workspace_id
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# 检查用户是否已选择工作空间
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if workspace_id is None:
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api_logger.warning(f"用户 {current_user.username} 尝试获取遗忘引擎统计但未选择工作空间")
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return fail(BizCode.INVALID_PARAMETER, "请先切换到一个工作空间", "current_workspace_id is None")
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# 如果提供了 group_id，通过它获取 config_id
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config_id = None
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if group_id:
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try:
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from app.services.memory_agent_service import get_end_user_connected_config
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connected_config = get_end_user_connected_config(group_id, db)
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config_id = connected_config.get("memory_config_id")
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if config_id is None:
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api_logger.warning(f"终端用户 {group_id} 未关联记忆配置")
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return fail(BizCode.INVALID_PARAMETER, f"终端用户 {group_id} 未关联记忆配置", "memory_config_id is None")
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api_logger.debug(f"通过 group_id={group_id} 获取到 config_id={config_id}")
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except ValueError as e:
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api_logger.warning(f"获取终端用户配置失败: {str(e)}")
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return fail(BizCode.INVALID_PARAMETER, str(e), "ValueError")
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except Exception as e:
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api_logger.error(f"获取终端用户配置时发生错误: {str(e)}")
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return fail(BizCode.INTERNAL_ERROR, "获取终端用户配置失败", str(e))
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api_logger.info(
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f"用户 {current_user.username} 在工作空间 {workspace_id} 请求获取遗忘引擎统计: "
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f"group_id={group_id}, config_id={config_id}"
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)
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try:
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# 调用服务层获取统计信息
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stats = await forget_service.get_forgetting_stats(
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db=db,
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group_id=group_id,
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config_id=config_id
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)
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# 构建响应
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response_data = ForgettingStatsResponse(**stats)
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return success(data=response_data.model_dump(), msg="查询成功")
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except Exception as e:
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api_logger.error(f"获取遗忘引擎统计失败: {str(e)}")
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return fail(BizCode.INTERNAL_ERROR, "获取遗忘引擎统计失败", str(e))
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@router.post("/forgetting_curve", response_model=ApiResponse)
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async def get_forgetting_curve(
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request: ForgettingCurveRequest,
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current_user: User = Depends(get_current_user),
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db: Session = Depends(get_db)
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):
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"""
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获取遗忘曲线数据
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生成遗忘曲线数据用于可视化，模拟记忆激活值随时间的衰减。
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Args:
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request: 遗忘曲线请求参数
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current_user: 当前用户
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db: 数据库会话
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Returns:
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ApiResponse: 包含遗忘曲线数据的响应
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"""
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workspace_id = current_user.current_workspace_id
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# 检查用户是否已选择工作空间
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if workspace_id is None:
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api_logger.warning(f"用户 {current_user.username} 尝试获取遗忘曲线但未选择工作空间")
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return fail(BizCode.INVALID_PARAMETER, "请先切换到一个工作空间", "current_workspace_id is None")
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api_logger.info(
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f"用户 {current_user.username} 在工作空间 {workspace_id} 请求获取遗忘曲线: "
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f"importance_score={request.importance_score}, days={request.days}, config_id={request.config_id}"
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)
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try:
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# 调用服务层生成遗忘曲线
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result = await forget_service.get_forgetting_curve(
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db=db,
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importance_score=request.importance_score,
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days=request.days,
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config_id=request.config_id
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)
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# 转换为响应格式
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curve_points = [
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ForgettingCurvePoint(**point)
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for point in result['curve_data']
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]
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# 构建响应
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response_data = ForgettingCurveResponse(
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curve_data=curve_points,
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config=result['config']
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)
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return success(data=response_data.model_dump(), msg="查询成功")
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except Exception as e:
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api_logger.error(f"获取遗忘曲线失败: {str(e)}")
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return fail(BizCode.INTERNAL_ERROR, "获取遗忘曲线失败", str(e))
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