Refactor/episodic explicit (#93)
* [refactor]Reconstruct episodic memory * [refactor]Reconstructing explicit memory * [refactor]Reconstruct episodic memory * [refactor]Reconstructing explicit memory * [changes]Based on the improvement of AI review * [changes]Modify the routing * [changes]Uniform routing format * [fix]Fix the failure in parsing the timestamp. * [refactor]Reconstruct episodic memory * [refactor]Reconstructing explicit memory * [changes]Based on the improvement of AI review * [changes]Modify the routing * [changes]Uniform routing format * [fix]Fix the failure in parsing the timestamp. * [deleted]Delete migration files * [refactor]Reconstruct episodic memory * [refactor]Reconstructing explicit memory * [changes]Based on the improvement of AI review * [changes]Modify the routing * [changes]Uniform routing format * [fix]Fix the failure in parsing the timestamp. * [deleted]Delete migration files * feat: add database migration 9ab9b6393f32_20261511
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乐力齐
@@ -20,12 +20,6 @@ from app.services.user_memory_service import (
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from app.services.memory_entity_relationship_service import MemoryEntityService,MemoryEmotion,MemoryInteraction
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from app.schemas.response_schema import ApiResponse
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from app.schemas.memory_storage_schema import GenerateCacheRequest
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from app.schemas.user_memory_schema import (
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EpisodicMemoryOverviewRequest,
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EpisodicMemoryDetailsRequest,
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ExplicitMemoryOverviewRequest,
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ExplicitMemoryDetailsRequest,
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)
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from app.schemas.end_user_schema import (
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EndUserProfileResponse,
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@@ -440,195 +434,3 @@ async def memory_space_relationship_evolution(id: str, label: str,
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except Exception as e:
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api_logger.error(f"关系演变查询失败: id={id}, table={label}, error={str(e)}", exc_info=True)
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return fail(BizCode.INTERNAL_ERROR, "关系演变查询失败", str(e))
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@router.post("/classifications/episodic-memory", response_model=ApiResponse)
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async def get_episodic_memory_overview_api(
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request: EpisodicMemoryOverviewRequest,
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current_user: User = Depends(get_current_user),
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db: Session = Depends(get_db),
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) -> dict:
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"""
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获取情景记忆总览
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返回指定用户的所有情景记忆列表，包括标题和创建时间。
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支持通过时间范围、情景类型和标题关键词进行筛选。
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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} 尝试查询情景记忆总览但未选择工作空间")
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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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# 验证参数
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valid_time_ranges = ["all", "today", "this_week", "this_month"]
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valid_episodic_types = ["all", "conversation", "project_work", "learning", "decision", "important_event"]
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if request.time_range not in valid_time_ranges:
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return fail(BizCode.INVALID_PARAMETER, f"无效的时间范围参数，可选值：{', '.join(valid_time_ranges)}")
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if request.episodic_type not in valid_episodic_types:
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return fail(BizCode.INVALID_PARAMETER, f"无效的情景类型参数，可选值：{', '.join(valid_episodic_types)}")
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# 处理 title_keyword（去除首尾空格）
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title_keyword = request.title_keyword.strip() if request.title_keyword else None
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api_logger.info(
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f"情景记忆总览查询请求: end_user_id={request.end_user_id}, user={current_user.username}, "
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f"workspace={workspace_id}, time_range={request.time_range}, episodic_type={request.episodic_type}, "
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f"title_keyword={title_keyword}"
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)
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try:
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# 调用Service层方法
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result = await user_memory_service.get_episodic_memory_overview(
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db, request.end_user_id, request.time_range, request.episodic_type, title_keyword
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)
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api_logger.info(
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f"成功获取情景记忆总览: end_user_id={request.end_user_id}, "
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f"total={result['total']}"
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)
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return success(data=result, msg="查询成功")
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except Exception as e:
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api_logger.error(f"情景记忆总览查询失败: end_user_id={request.end_user_id}, error={str(e)}")
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return fail(BizCode.INTERNAL_ERROR, "情景记忆总览查询失败", str(e))
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@router.post("/classifications/episodic-memory-details", response_model=ApiResponse)
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async def get_episodic_memory_details_api(
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request: EpisodicMemoryDetailsRequest,
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current_user: User = Depends(get_current_user),
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db: Session = Depends(get_db),
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) -> dict:
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"""
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获取情景记忆详情
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返回指定情景记忆的详细信息，包括涉及对象、情景类型、内容记录和情绪。
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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} 尝试查询情景记忆详情但未选择工作空间")
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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"情景记忆详情查询请求: end_user_id={request.end_user_id}, summary_id={request.summary_id}, "
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f"user={current_user.username}, workspace={workspace_id}"
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)
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try:
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# 调用Service层方法
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result = await user_memory_service.get_episodic_memory_details(
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db=db,
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end_user_id=request.end_user_id,
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summary_id=request.summary_id
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)
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api_logger.info(
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f"成功获取情景记忆详情: end_user_id={request.end_user_id}, summary_id={request.summary_id}"
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)
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return success(data=result, msg="查询成功")
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except ValueError as e:
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# 处理情景记忆不存在的情况
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api_logger.warning(f"情景记忆不存在: end_user_id={request.end_user_id}, summary_id={request.summary_id}, error={str(e)}")
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return fail(BizCode.INVALID_PARAMETER, "情景记忆不存在", str(e))
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except Exception as e:
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api_logger.error(f"情景记忆详情查询失败: end_user_id={request.end_user_id}, summary_id={request.summary_id}, error={str(e)}")
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return fail(BizCode.INTERNAL_ERROR, "情景记忆详情查询失败", str(e))
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@router.post("/classifications/explicit-memory", response_model=ApiResponse)
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async def get_explicit_memory_overview_api(
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request: ExplicitMemoryOverviewRequest,
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current_user: User = Depends(get_current_user),
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db: Session = Depends(get_db),
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) -> dict:
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"""
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获取显性记忆总览
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返回指定用户的所有显性记忆列表，包括标题、完整内容、创建时间和情绪信息。
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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} 尝试查询显性记忆总览但未选择工作空间")
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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"显性记忆总览查询请求: end_user_id={request.end_user_id}, user={current_user.username}, "
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f"workspace={workspace_id}"
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)
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try:
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# 调用Service层方法
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result = await user_memory_service.get_explicit_memory_overview(
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db, request.end_user_id
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)
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api_logger.info(
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f"成功获取显性记忆总览: end_user_id={request.end_user_id}, "
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f"total={result['total']}"
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)
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return success(data=result, msg="查询成功")
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except Exception as e:
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api_logger.error(f"显性记忆总览查询失败: end_user_id={request.end_user_id}, error={str(e)}")
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return fail(BizCode.INTERNAL_ERROR, "显性记忆总览查询失败", str(e))
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@router.post("/classifications/explicit-memory-details", response_model=ApiResponse)
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async def get_explicit_memory_details_api(
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request: ExplicitMemoryDetailsRequest,
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current_user: User = Depends(get_current_user),
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db: Session = Depends(get_db),
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) -> dict:
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"""
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获取显性记忆详情
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根据 memory_id 返回情景记忆或语义记忆的详细信息。
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- 情景记忆：包括标题、内容、情绪、创建时间
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- 语义记忆：包括名称、核心定义、详细笔记、创建时间
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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} 尝试查询显性记忆详情但未选择工作空间")
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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"显性记忆详情查询请求: end_user_id={request.end_user_id}, memory_id={request.memory_id}, "
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f"user={current_user.username}, workspace={workspace_id}"
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)
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try:
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# 调用Service层方法
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result = await user_memory_service.get_explicit_memory_details(
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db=db,
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end_user_id=request.end_user_id,
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memory_id=request.memory_id
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)
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api_logger.info(
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f"成功获取显性记忆详情: end_user_id={request.end_user_id}, memory_id={request.memory_id}, "
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f"memory_type={result.get('memory_type')}"
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)
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return success(data=result, msg="查询成功")
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except ValueError as e:
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# 处理记忆不存在的情况
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api_logger.warning(f"显性记忆不存在: end_user_id={request.end_user_id}, memory_id={request.memory_id}, error={str(e)}")
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return fail(BizCode.INVALID_PARAMETER, "显性记忆不存在", str(e))
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except Exception as e:
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api_logger.error(f"显性记忆详情查询失败: end_user_id={request.end_user_id}, memory_id={request.memory_id}, error={str(e)}")
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return fail(BizCode.INTERNAL_ERROR, "显性记忆详情查询失败", str(e))
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