Codex
35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
"""
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知识库标注模型（Q&A 对）
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手动添加的高优先级问答对，检索时优先匹配。
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"""
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from sqlalchemy import Column, String, Text, Integer, Boolean, Index
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from app.base_model import BaseModel
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class KnowledgeAnnotation(BaseModel):
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"""
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知识库标注（Q&A 对）
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用户手动添加的问答对，检索时优先匹配 question，返回 answer。
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"""
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__tablename__ = "ai_knowledge_annotation"
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knowledge_base_id = Column(String(21), nullable=False, index=True, comment="所属知识库ID（逻辑外键关联ai_knowledge_base）")
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# Q&A 内容
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question = Column(Text, nullable=False, comment="问题")
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answer = Column(Text, nullable=False, comment="答案")
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# 向量化状态
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embedding_status = Column(String(20), default="pending", comment="向量化状态: pending/completed/failed")
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# 状态
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enabled = Column(Boolean, default=True, comment="是否启用")
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hit_count = Column(Integer, default=0, comment="命中次数")
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__table_args__ = (
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Index('idx_annotation_kb_enabled', 'knowledge_base_id', 'enabled'),
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)
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