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Fix/memory bug fix (#162)

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* 图谱数据量限制数量去掉

* 图谱数据量限制数量去掉

* 图谱数据量限制数量去掉

* 用户详情优化

* 用户详情优化

* 用户详情优化

* 用户详情优化

* 用户详情优化

* 用户详情优化

* 读取的接口，去掉全局锁

* 输出数组

* 反思优化1.0（优化隐私输出、时间检索）

* 反思优化1.0（优化隐私输出、时间检索）

* 反思优化1.0（优化隐私输出、时间检索）

* 反思优化测试接口

* 反思优化测试接口

* 读取接口内层嵌套BUG修复

* 读取接口内层嵌套BUG修复

* 读取接口内层嵌套BUG修复

* 读取接口内层嵌套BUG修复

* 读取接口内层嵌套BUG修复

* 新增中翻英功能（记忆时间线）(用户摘要)(兴趣分布接口)(查询核心档案)(记忆洞察)

* 新增中翻英功能（记忆时间线）(用户摘要)(兴趣分布接口)(查询核心档案)(记忆洞察)-接口添加翻译字段

* 新增中翻英功能（记忆时间线）(用户摘要)(兴趣分布接口)(查询核心档案)(记忆洞察)-接口添加翻译字段

* 新增中翻英功能（记忆时间线）(用户摘要)(兴趣分布接口)(查询核心档案)(记忆洞察)-接口添加翻译字段

* 新增中翻英功能（记忆时间线）(用户摘要)(兴趣分布接口)(查询核心档案)(记忆洞察)-接口添加翻译字段

* 新增中翻英功能（记忆时间线）(用户摘要)(兴趣分布接口)(查询核心档案)(记忆洞察)-接口添加翻译字段
This commit is contained in:
lixinyue11
2026-01-21 11:33:52 +08:00
committed by GitHub
parent 21ec923f24
commit 6920deef63
11 changed files with 511 additions and 57 deletions
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46
api/app/controllers/user_memory_controllers.py
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@@ -12,6 +12,7 @@ from app.core.logging_config import get_api_logger
from app.core.response_utils import success, fail
from app.core.error_codes import BizCode
from app.core.api_key_utils import timestamp_to_datetime
from app.services.memory_base_service import Translation_English
from app.services.user_memory_service import (
UserMemoryService,
analytics_memory_types,
@@ -20,7 +21,7 @@ from app.services.user_memory_service import (
from app.services.memory_entity_relationship_service import MemoryEntityService,MemoryEmotion,MemoryInteraction
from app.schemas.response_schema import ApiResponse
from app.schemas.memory_storage_schema import GenerateCacheRequest
from app.repositories.workspace_repository import WorkspaceRepository
from app.schemas.end_user_schema import (
EndUserProfileResponse,
EndUserProfileUpdate,
@@ -44,6 +45,7 @@ router = APIRouter(
@router.get("/analytics/memory_insight/report", response_model=ApiResponse)
async def get_memory_insight_report_api(
end_user_id: str,
language_type: str = "zh",
current_user: User = Depends(get_current_user),
db: Session = Depends(get_db),
) -> dict:
@@ -53,10 +55,18 @@ async def get_memory_insight_report_api(
此接口仅查询数据库中已缓存的记忆洞察数据，不执行生成操作。
如需生成新的洞察报告，请使用专门的生成接口。
"""
workspace_id = current_user.current_workspace_id
workspace_repo = WorkspaceRepository(db)
workspace_models = workspace_repo.get_workspace_models_configs(workspace_id)
if workspace_models:
model_id = workspace_models.get("llm", None)
else:
model_id = None
api_logger.info(f"记忆洞察报告查询请求: end_user_id={end_user_id}, user={current_user.username}")
try:
# 调用服务层获取缓存数据
result = await user_memory_service.get_cached_memory_insight(db, end_user_id)
result = await user_memory_service.get_cached_memory_insight(db, end_user_id,model_id,language_type)
if result["is_cached"]:
api_logger.info(f"成功返回缓存的记忆洞察报告: end_user_id={end_user_id}")
@@ -72,6 +82,7 @@ async def get_memory_insight_report_api(
@router.get("/analytics/user_summary", response_model=ApiResponse)
async def get_user_summary_api(
end_user_id: str,
language_type: str="zh",
current_user: User = Depends(get_current_user),
db: Session = Depends(get_db),
) -> dict:
@@ -81,10 +92,18 @@ async def get_user_summary_api(
此接口仅查询数据库中已缓存的用户摘要数据，不执行生成操作。
如需生成新的用户摘要，请使用专门的生成接口。
"""
workspace_id = current_user.current_workspace_id
workspace_repo = WorkspaceRepository(db)
workspace_models = workspace_repo.get_workspace_models_configs(workspace_id)
if workspace_models:
model_id = workspace_models.get("llm", None)
else:
model_id = None
api_logger.info(f"用户摘要查询请求: end_user_id={end_user_id}, user={current_user.username}")
try:
# 调用服务层获取缓存数据
result = await user_memory_service.get_cached_user_summary(db, end_user_id)
result = await user_memory_service.get_cached_user_summary(db, end_user_id,model_id,language_type)
if result["is_cached"]:
api_logger.info(f"成功返回缓存的用户摘要: end_user_id={end_user_id}")
@@ -253,7 +272,6 @@ async def get_graph_data_api(
depth=depth,
center_node_id=center_node_id
)
# 检查是否有错误消息
if "message" in result and result["statistics"]["total_nodes"] == 0:
api_logger.warning(f"图数据查询返回空结果: {result.get('message')}")
@@ -278,7 +296,13 @@ async def get_end_user_profile(
db: Session = Depends(get_db),
) -> dict:
workspace_id = current_user.current_workspace_id
workspace_repo = WorkspaceRepository(db)
workspace_models = workspace_repo.get_workspace_models_configs(workspace_id)
if workspace_models:
model_id = workspace_models.get("llm", None)
else:
model_id = None
# 检查用户是否已选择工作空间
if workspace_id is None:
api_logger.warning(f"用户 {current_user.username} 尝试查询用户信息但未选择工作空间")
@@ -296,7 +320,6 @@ async def get_end_user_profile(
if not end_user:
api_logger.warning(f"终端用户不存在: end_user_id={end_user_id}")
return fail(BizCode.INVALID_PARAMETER, "终端用户不存在", f"end_user_id={end_user_id}")
# 构建响应数据
profile_data = EndUserProfileResponse(
id=end_user.id,
@@ -396,12 +419,21 @@ async def update_end_user_profile(
return fail(BizCode.INTERNAL_ERROR, "用户信息更新失败", str(e))
@router.get("/memory_space/timeline_memories", response_model=ApiResponse)
async def memory_space_timeline_of_shared_memories(id: str, label: str,
async def memory_space_timeline_of_shared_memories(id: str, label: str,language_type: str="zh",
current_user: User = Depends(get_current_user),
db: Session = Depends(get_db),
):
workspace_id=current_user.current_workspace_id
workspace_repo = WorkspaceRepository(db)
workspace_models = workspace_repo.get_workspace_models_configs(workspace_id)
if workspace_models:
model_id = workspace_models.get("llm", None)
else:
model_id = None
MemoryEntity = MemoryEntityService(id, label)
timeline_memories_result = await MemoryEntity.get_timeline_memories_server()
timeline_memories_result = await MemoryEntity.get_timeline_memories_server(model_id, language_type)
return success(data=timeline_memories_result, msg="共同记忆时间线")
@router.get("/memory_space/relationship_evolution", response_model=ApiResponse)
async def memory_space_relationship_evolution(id: str, label: str,