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

52 lines
1.6 KiB
Python

import datetime
import uuid
from enum import IntEnum
from sqlalchemy import Column, ForeignKey, Integer, DateTime, String
from sqlalchemy.dialects.postgresql import UUID
from sqlalchemy.dialects.postgresql import JSONB
from app.db import Base
from app.schemas.app_schema import FileType
class PerceptualType(IntEnum):
VISION = 1
AUDIO = 2
TEXT = 3
CONVERSATION = 4
@staticmethod
def trans_from_file_type(file_type: FileType | str):
type_map = {
FileType.IMAGE: PerceptualType.VISION,
FileType.AUDIO: PerceptualType.AUDIO,
FileType.VIDEO: PerceptualType.VISION,
FileType.DOCUMENT: PerceptualType.TEXT
}
return type_map.get(file_type, PerceptualType.TEXT)
class FileStorageService(IntEnum):
LOCAL = 1
REMOTE = 2
class MemoryPerceptualModel(Base):
__tablename__ = "memory_perceptual"
id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
end_user_id = Column(UUID(as_uuid=True), ForeignKey("end_users.id"), index=True)
perceptual_type = Column(Integer, index=True, nullable=False, comment="感知类型")
storage_service = Column(Integer, default=0, comment="存储服务类型")
file_path = Column(String, nullable=False, comment="文件路径")
file_name = Column(String, nullable=False, comment="文件名称")
file_ext = Column(String, nullable=False, comment="文件后缀名")
summary = Column(String, comment="摘要")
meta_data = Column(JSONB, comment="元信息")
created_time = Column(DateTime, default=datetime.datetime.now, comment="创建时间")