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
2026-01-13 16:02:36 +08:00
parent 7a5792ba01
commit dec9fca8c2
11 changed files with 1051 additions and 1073 deletions
--- a/api/app/controllers/memory_explicit_controller.py
+++ b/api/app/controllers/memory_explicit_controller.py
@@ -0,0 +1,115 @@
+"""
+显性记忆控制器
+
+处理显性记忆相关的API接口，包括情景记忆和语义记忆的查询。
+"""
+
+from fastapi import APIRouter, Depends
+
+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.services.memory_explicit_service import MemoryExplicitService
+from app.schemas.response_schema import ApiResponse
+from app.schemas.memory_explicit_schema import (
+    ExplicitMemoryOverviewRequest,
+    ExplicitMemoryDetailsRequest,
+)
+from app.dependencies import get_current_user
+from app.models.user_model import User
+
+# Get API logger
+api_logger = get_api_logger()
+
+# Initialize service
+memory_explicit_service = MemoryExplicitService()
+
+router = APIRouter(
+    prefix="/memory/explicit-memory",
+    tags=["Explicit Memory"],
+)
+
+
+@router.post("/overview", response_model=ApiResponse)
+async def get_explicit_memory_overview_api(
+    request: ExplicitMemoryOverviewRequest,
+    current_user: User = Depends(get_current_user),
+) -> dict:
+    """
+    获取显性记忆总览
+    
+    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。
+    """
+    workspace_id = current_user.current_workspace_id
+    
+    # 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} 尝试查询显性记忆总览但未选择工作空间")
+        return fail(BizCode.INVALID_PARAMETER, "请先切换到一个工作空间", "current_workspace_id is None")
+    
+    api_logger.info(
+        f"显性记忆总览查询请求: end_user_id={request.end_user_id}, user={current_user.username}, "
+        f"workspace={workspace_id}"
+    )
+    
+    try:
+        # 调用Service层方法
+        result = await memory_explicit_service.get_explicit_memory_overview(
+            request.end_user_id
+        )
+        
+        api_logger.info(
+            f"成功获取显性记忆总览: end_user_id={request.end_user_id}, "
+            f"total={result['total']}"
+        )
+        return success(data=result, msg="查询成功")
+        
+    except Exception as e:
+        api_logger.error(f"显性记忆总览查询失败: end_user_id={request.end_user_id}, error={str(e)}")
+        return fail(BizCode.INTERNAL_ERROR, "显性记忆总览查询失败", str(e))
+
+
+@router.post("/details", response_model=ApiResponse)
+async def get_explicit_memory_details_api(
+    request: ExplicitMemoryDetailsRequest,
+    current_user: User = Depends(get_current_user),
+) -> dict:
+    """
+    获取显性记忆详情
+    
+    根据 memory_id 返回情景记忆或语义记忆的详细信息。
+    - 情景记忆：包括标题、内容、情绪、创建时间
+    - 语义记忆：包括名称、核心定义、详细笔记、创建时间
+    """
+    workspace_id = current_user.current_workspace_id
+    
+    # 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} 尝试查询显性记忆详情但未选择工作空间")
+        return fail(BizCode.INVALID_PARAMETER, "请先切换到一个工作空间", "current_workspace_id is None")
+    
+    api_logger.info(
+        f"显性记忆详情查询请求: end_user_id={request.end_user_id}, memory_id={request.memory_id}, "
+        f"user={current_user.username}, workspace={workspace_id}"
+    )
+    
+    try:
+        # 调用Service层方法
+        result = await memory_explicit_service.get_explicit_memory_details(
+            end_user_id=request.end_user_id,
+            memory_id=request.memory_id
+        )
+        
+        api_logger.info(
+            f"成功获取显性记忆详情: end_user_id={request.end_user_id}, memory_id={request.memory_id}, "
+            f"memory_type={result.get('memory_type')}"
+        )
+        return success(data=result, msg="查询成功")
+        
+    except ValueError as e:
+        # 处理记忆不存在的情况
+        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)}")
+        return fail(BizCode.INVALID_PARAMETER, "显性记忆不存在", str(e))
+    except Exception as e:
+        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)}")
+        return fail(BizCode.INTERNAL_ERROR, "显性记忆详情查询失败", str(e))