[全量] 初始化项目代码、配置、文档及Agent协同harness

langchain-chat/server/db/models/message_model.py

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+from sqlalchemy import Column, Integer, String, DateTime, JSON, func
+
+from server.db.base import Base
+
+
+class MessageModel(Base):
+    """
+    聊天记录模型
+    """
+    __tablename__ = 'message'
+    id = Column(String(32), primary_key=True, comment='聊天记录ID')
+    conversation_id = Column(String(32), default=None, index=True, comment='对话框ID')
+    # chat/agent_chat等
+    chat_type = Column(String(50), comment='聊天类型')
+    query = Column(String(4096), comment='用户问题')
+    response = Column(String(4096), comment='模型回答')
+    # 记录知识库id等，以便后续扩展
+    meta_data = Column(JSON, default={})
+    # 满分100 越高表示评价越好
+    feedback_score = Column(Integer, default=-1, comment='用户评分')
+    feedback_reason = Column(String(255), default="", comment='用户评分理由')
+    create_time = Column(DateTime, default=func.now(), comment='创建时间')
+
+    def __repr__(self):
+        return f"<message(id='{self.id}', conversation_id='{self.conversation_id}', chat_type='{self.chat_type}', query='{self.query}', response='{self.response}',meta_data='{self.meta_data}',feedback_score='{self.feedback_score}',feedback_reason='{self.feedback_reason}', create_time='{self.create_time}')>"