Files
MemoryBear/api/app/models/document_model.py

28 lines
1.7 KiB
Python

import datetime
import uuid
from sqlalchemy import Column, Integer, String, JSON, DateTime, ForeignKey, Float
from sqlalchemy.dialects.postgresql import UUID
from app.db import Base
class Document(Base):
__tablename__ = "documents"
id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4, index=True)
kb_id = Column(UUID(as_uuid=True), nullable=False, comment="knowledges.id")
created_by = Column(UUID(as_uuid=True), nullable=False, comment="users.id")
file_id = Column(UUID(as_uuid=True), nullable=False, comment="files.id")
file_name = Column(String, index=True, nullable=False, comment="file name")
file_ext = Column(String, index=True, nullable=False, comment="file extension")
file_size = Column(Integer, default=0, comment="file size(byte)")
file_meta = Column(JSON, nullable=False, default={})
parser_id = Column(String, index=True, nullable=False, comment="default parser ID")
parser_config = Column(JSON, nullable=False, default={"layout_recognize": "DeepDOC", "chunk_token_num": 128, "delimiter": "\n"}, comment="default parser config")
chunk_num = Column(Integer, default=0, comment="chunk num")
progress = Column(Float, default=0)
progress_msg = Column(String, default="", comment="process message")
process_begin_at = Column(DateTime, default=datetime.datetime.now)
process_duration = Column(Float, default=0)
run = Column(Integer, default=0, comment="start to run processing or cancel.(1: run it; 2: cancel)")
status = Column(Integer, default=1, comment="is it validate(0: wasted, 1: validate)")
created_at = Column(DateTime, default=datetime.datetime.now)
updated_at = Column(DateTime, default=datetime.datetime.now)