34 lines
1.9 KiB
Python
34 lines
1.9 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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from typing import Optional
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from sqlalchemy import BigInteger, Text, String, Integer, DateTime, ForeignKey
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from sqlalchemy.dialects.mysql import JSON as MySQLJSON
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from sqlalchemy.orm import mapped_column, Mapped
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from backend.common.model import snowflake_id_key, Base
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class ImageText(Base):
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"""
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图片识别出的文本内容
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每张图片可能包含多个文本，这些文本是图片识别的结果
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支持关联文章句子，image_id 为可选以支持独立的文章句子文本
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"""
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__tablename__ = 'image_text'
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id: Mapped[snowflake_id_key] = mapped_column(BigInteger, init=False, primary_key=True)
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image_id: Mapped[Optional[int]] = mapped_column(BigInteger, ForeignKey('image.id'), nullable=True, comment="关联的图片ID")
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article_sentence_id: Mapped[Optional[int]] = mapped_column(BigInteger, ForeignKey('article_sentence.id'), nullable=True, comment="关联的文章句子ID")
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content: Mapped[str] = mapped_column(Text, nullable=False, comment="文本内容")
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standard_audio_id: Mapped[Optional[int]] = mapped_column(BigInteger, ForeignKey('file.id'), nullable=True, comment="标准朗读音频文件ID")
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ipa: Mapped[Optional[str]] = mapped_column(String(100), default=None, comment="ipa")
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zh: Mapped[Optional[str]] = mapped_column(String(100), default=None, comment="中文")
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position: Mapped[Optional[dict]] = mapped_column(MySQLJSON, default=None, comment="文本在图片中的位置信息或文章中的位置信息")
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dict_level: Mapped[Optional[str]] = mapped_column(String(20), default=None, comment="词典等级")
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source: Mapped[Optional[str]] = mapped_column(String(20), default=None, comment="文本来源 (ref_word/description/article)")
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info: Mapped[Optional[dict]] = mapped_column(MySQLJSON, default=None, comment="附加信息")
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# 表参数 - 包含所有必要的约束
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__table_args__ = (
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) |