59 lines
2.0 KiB
Python
59 lines
2.0 KiB
Python
# LangChain集成示例
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from sqlalchemy.orm import Session
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from datetime import datetime
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from models.ai import ChatConversation, ChatMessage, MessageType
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class ChatDBService:
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@staticmethod
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def get_or_create_conversation(db: Session, conversation_id: int | None, user_id: int, model: str) -> ChatConversation:
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if not conversation_id:
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conversation = ChatConversation(
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title="新对话",
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user_id=user_id,
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role_id=None,
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model_id=1, # 需根据实际模型id调整
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model=model,
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system_message=None,
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temperature=0.7,
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max_tokens=2048,
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max_contexts=10,
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create_time=datetime.now(),
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update_time=datetime.now(),
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is_deleted=False
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)
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db.add(conversation)
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db.commit()
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db.refresh(conversation)
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return conversation
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else:
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conversation = db.query(ChatConversation).get(conversation_id)
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if not conversation:
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raise ValueError("无效的conversation_id")
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return conversation
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@staticmethod
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def add_message(db: Session, conversation: ChatConversation, user_id: int, content: str) -> ChatMessage:
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message = ChatMessage(
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conversation_id=conversation.id,
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user_id=user_id,
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role_id=None,
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model=conversation.model,
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model_id=conversation.model_id,
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type=MessageType.TEXT,
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reply_id=None,
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content=content,
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use_context=True,
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segment_ids=None,
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create_time=datetime.now(),
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update_time=datetime.now(),
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is_deleted=False
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)
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db.add(message)
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db.commit()
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return message
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@staticmethod
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def get_history(db: Session, conversation_id: int) -> list[ChatMessage]:
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return db.query(ChatMessage).filter_by(conversation_id=conversation_id).order_by(ChatMessage.id).all()
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