88 lines
2.3 KiB
Python
88 lines
2.3 KiB
Python
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"""Insight Feedback database model for closed-loop learning."""
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from sqlalchemy import Column, String, Boolean, DECIMAL, TIMESTAMP, Text, ForeignKey, Index
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from sqlalchemy.dialects.postgresql import UUID, JSONB
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from sqlalchemy.sql import func
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from sqlalchemy.orm import relationship
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import uuid
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from app.core.database import Base
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class InsightFeedback(Base):
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"""Feedback tracking for AI Insights to enable learning."""
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__tablename__ = "insight_feedback"
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# Primary Key
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id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
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# Foreign Key to AIInsight
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insight_id = Column(
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UUID(as_uuid=True),
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ForeignKey('ai_insights.id', ondelete='CASCADE'),
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nullable=False,
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index=True
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)
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# Action Information
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action_taken = Column(
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String(100),
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comment="Specific action that was taken from recommendation_actions"
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)
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# Result Data
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result_data = Column(
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JSONB,
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comment="Detailed result data from applying the insight"
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)
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# Success Tracking
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success = Column(
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Boolean,
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nullable=False,
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index=True,
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comment="Whether the insight application was successful"
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)
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error_message = Column(
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Text,
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comment="Error message if success = false"
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)
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# Impact Comparison
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expected_impact_value = Column(
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DECIMAL(10, 2),
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comment="Expected impact value from original insight"
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)
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actual_impact_value = Column(
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DECIMAL(10, 2),
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comment="Measured actual impact after application"
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)
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variance_percentage = Column(
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DECIMAL(5, 2),
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comment="(actual - expected) / expected * 100"
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)
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# User Information
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applied_by = Column(
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String(100),
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comment="User or system that applied the insight"
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)
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# Timestamp
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created_at = Column(
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TIMESTAMP(timezone=True),
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server_default=func.now(),
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nullable=False,
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index=True
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)
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# Composite Indexes
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__table_args__ = (
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Index('idx_insight_success', 'insight_id', 'success'),
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Index('idx_created_success', 'created_at', 'success'),
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)
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def __repr__(self):
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return f"<InsightFeedback(id={self.id}, insight_id={self.insight_id}, success={self.success})>"
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