Feature/memory work (#61)

* refactor(conversation): separate service and repository layers for conversation module

- Split ConversationService and repository/UnitOfWork layers
- Service layer now only handles business logic and orchestration
- Repository layer handles all direct database operations
- UnitOfWork encapsulates transactional operations for messages
- Ensured all public methods have clear English docstrings with arguments, return values, and exceptions

* feat(memory): implement work memory endpoints and services

- Added API routes for conversation count, conversation list, messages, and detail.
- Integrated ConversationService for database queries and LLM-based summary generation.

* feat(memory): implement work memory endpoints and services

- Added API routes for conversation count, conversation list, messages, and detail.
- Integrated ConversationService for database queries and LLM-based summary generation.

* feat(workflow): fix issues causing workflow failures

if-else None value error
knowledge empty list rerank
end node output none node value
assigner input none value

* feat(memory): convert memory file creation time to timestamp and include title and first-line fields in file type

* fix(memory): fix serialization output and default value issues

* fix(workflow): fix issue with hybrid search logic in knowledge retrieval node

api/app/schemas/conversation_schema.py

@@ -35,14 +35,14 @@ class ChatRequest(BaseModel):
 class Message(BaseModel):
     """消息输出"""
     model_config = ConfigDict(from_attributes=True)
-    
+
     id: uuid.UUID
     conversation_id: uuid.UUID
     role: str
     content: str
     meta_data: Optional[Dict[str, Any]] = None
     created_at: datetime.datetime
-    
+
     @field_serializer("created_at", when_used="json")
     def _serialize_created_at(self, dt: datetime.datetime):
         return int(dt.timestamp() * 1000) if dt else None
@@ -51,7 +51,7 @@ class Message(BaseModel):
 class Conversation(BaseModel):
     """会话输出"""
     model_config = ConfigDict(from_attributes=True)
-    
+
     id: uuid.UUID
     app_id: uuid.UUID
     workspace_id: uuid.UUID
@@ -63,11 +63,11 @@ class Conversation(BaseModel):
     is_active: bool
     created_at: datetime.datetime
     updated_at: datetime.datetime
-    
+
     @field_serializer("created_at", when_used="json")
     def _serialize_created_at(self, dt: datetime.datetime):
         return int(dt.timestamp() * 1000) if dt else None
-    
+
     @field_serializer("updated_at", when_used="json")
     def _serialize_updated_at(self, dt: datetime.datetime):
         return int(dt.timestamp() * 1000) if dt else None
@@ -84,3 +84,12 @@ class ChatResponse(BaseModel):
     message: str
     usage: Optional[Dict[str, Any]] = None
     elapsed_time: Optional[float] = None
+
+
+# ---------- Conversation Summary Schemas ----------
+class ConversationOut(BaseModel):
+    theme: str
+    theme_intro: str
+    summary: str
+    takeaways: list[str]
+    info_score: int

api/app/schemas/memory_perceptual_schema.py

@@ -39,10 +39,11 @@ class PerceptualMemoryItem(BaseModel):
     id: uuid.UUID = Field(..., description="Unique memory ID")
     perceptual_type: PerceptualType = Field(..., description="Type of perception, e.g., text, audio, or video")
     file_path: str = Field(..., description="File path in the storage service")
+    file_ext: str = Field(..., description="File extension")
     file_name: str = Field(..., description="File name")
-    summary: Optional[str] = Field(None, description="摘要")
+    summary: Optional[str] = Field(None, description="summary")
     storage_type: FileStorageType = Field(..., description="Storage type for file")
-    created_time: Optional[datetime] = Field(None, description="创建时间")
+    created_time: int = Field(..., description="create time")
 
     class Config:
         from_attributes = True
@@ -114,6 +115,8 @@ class AudioModal(BaseModel):
 
 class TextModal(BaseModel):
     section_count: int
+    title: str
+    first_line: str
 
 
 class Asset(BaseModel):