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65 lines
1.8 KiB
Python
65 lines
1.8 KiB
Python
"""
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能力评估模型
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用于存储智能工牌数据分析、练习报告等产生的能力评估结果
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"""
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from sqlalchemy import Column, Integer, String, DateTime, JSON, ForeignKey, Text
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from sqlalchemy.sql import func
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from sqlalchemy.orm import relationship
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from app.models.base import Base
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class AbilityAssessment(Base):
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"""能力评估历史表"""
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__tablename__ = "ability_assessments"
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id = Column(Integer, primary_key=True, index=True, comment='主键ID')
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user_id = Column(
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Integer,
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ForeignKey('users.id', ondelete='CASCADE'),
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nullable=False,
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comment='用户ID'
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)
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source_type = Column(
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String(50),
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nullable=False,
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comment='数据来源: yanji_badge(智能工牌), practice_report(练习报告), manual(手动评估)'
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)
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source_id = Column(
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String(100),
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comment='来源记录ID(如录音ID列表,逗号分隔)'
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)
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total_score = Column(
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Integer,
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comment='综合评分(0-100)'
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)
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ability_dimensions = Column(
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JSON,
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nullable=False,
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comment='6个能力维度评分JSON数组'
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)
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recommended_courses = Column(
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JSON,
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comment='推荐课程列表JSON数组'
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)
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conversation_count = Column(
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Integer,
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comment='分析的对话数量'
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)
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analyzed_at = Column(
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DateTime,
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server_default=func.now(),
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comment='分析时间'
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)
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created_at = Column(
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DateTime,
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server_default=func.now(),
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comment='创建时间'
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)
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# 关系
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# user = relationship("User", back_populates="ability_assessments")
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def __repr__(self):
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return f"<AbilityAssessment(id={self.id}, user_id={self.user_id}, total_score={self.total_score})>"
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