langchain-chatchat / server /db /models /knowledge_file_model.py
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from sqlalchemy import Column, Integer, String, DateTime, Float, Boolean, JSON, func
from server.db.base import Base
class KnowledgeFileModel(Base):
"""
知识文件模型
"""
__tablename__ = 'knowledge_file'
id = Column(Integer, primary_key=True, autoincrement=True, comment='知识文件ID')
file_name = Column(String(255), comment='文件名')
file_ext = Column(String(10), comment='文件扩展名')
kb_name = Column(String(50), comment='所属知识库名称')
document_loader_name = Column(String(50), comment='文档加载器名称')
text_splitter_name = Column(String(50), comment='文本分割器名称')
file_version = Column(Integer, default=1, comment='文件版本')
file_mtime = Column(Float, default=0.0, comment="文件修改时间")
file_size = Column(Integer, default=0, comment="文件大小")
custom_docs = Column(Boolean, default=False, comment="是否自定义docs")
docs_count = Column(Integer, default=0, comment="切分文档数量")
create_time = Column(DateTime, default=func.now(), comment='创建时间')
def __repr__(self):
return f"<KnowledgeFile(id='{self.id}', file_name='{self.file_name}', file_ext='{self.file_ext}', kb_name='{self.kb_name}', document_loader_name='{self.document_loader_name}', text_splitter_name='{self.text_splitter_name}', file_version='{self.file_version}', create_time='{self.create_time}')>"
class FileDocModel(Base):
"""
文件-向量库文档模型
"""
__tablename__ = 'file_doc'
id = Column(Integer, primary_key=True, autoincrement=True, comment='ID')
kb_name = Column(String(50), comment='知识库名称')
file_name = Column(String(255), comment='文件名称')
doc_id = Column(String(50), comment="向量库文档ID")
meta_data = Column(JSON, default={})
def __repr__(self):
return f"<FileDoc(id='{self.id}', kb_name='{self.kb_name}', file_name='{self.file_name}', doc_id='{self.doc_id}', metadata='{self.meta_data}')>"