SQLAlchemy Hybrid Properties for Computed Tenant Metrics: Avoiding SELECT N+1 When Aggregating AI Feature Usage Across Multi-Tenant Hierarchies

Use SQLAlchemy's hybrid_property decorator to define computed columns (feature adoption rate, AI inference cost per user, permission inheritance depth) that execute efficiently at the SQL layer instead of in Python, catching performance cliffs before they crater your analytics queries in production.

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