mirror of
https://github.com/RYDE-WORK/Langchain-Chatchat.git
synced 2026-01-19 21:37:20 +08:00
35 lines
1.4 KiB
Python
35 lines
1.4 KiB
Python
from sqlalchemy import Column, Integer, String, DateTime, func
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from pydantic import BaseModel
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from typing import Optional
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from datetime import datetime
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from chatchat.server.db.base import Base
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class KnowledgeBaseModel(Base):
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"""
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知识库模型
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"""
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__tablename__ = 'knowledge_base'
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id = Column(Integer, primary_key=True, autoincrement=True, comment='知识库ID')
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kb_name = Column(String(50), comment='知识库名称')
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kb_info = Column(String(200), comment='知识库简介(用于Agent)')
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vs_type = Column(String(50), comment='向量库类型')
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embed_model = Column(String(50), comment='嵌入模型名称')
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file_count = Column(Integer, default=0, comment='文件数量')
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create_time = Column(DateTime, default=func.now(), comment='创建时间')
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def __repr__(self):
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return f"<KnowledgeBase(id='{self.id}', kb_name='{self.kb_name}',kb_intro='{self.kb_info} vs_type='{self.vs_type}', embed_model='{self.embed_model}', file_count='{self.file_count}', create_time='{self.create_time}')>"
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# 创建一个对应的 Pydantic 模型
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class KnowledgeBaseSchema(BaseModel):
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id: int
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kb_name: str
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kb_info: Optional[str]
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vs_type: Optional[str]
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embed_model: Optional[str]
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file_count: Optional[int]
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create_time: Optional[datetime]
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class Config:
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from_attributes = True # 确保可以从 ORM 实例进行验证 |