Refactors the simulation system to focus on performance methodology comparison
rather than reward amounts, enabling robust analysis of old vs new calculation
methods. Key improvements:
- Replace simulated_rewards table with performance_comparisons for better metrics
- Add performance_rankings table for ranking analysis across methodologies
- Enhance database schema with additional performance tracking fields
- Update simulation coordinator to use performance-focused data structures
- Add comprehensive performance ranking calculations
- Improve API models and handlers for performance comparison workflows
- Update SQLx query cache with new database schema changes
This provides a foundation for data-driven performance methodology evaluation
while maintaining separation from actual reward calculations.
This completes Phase 3 of the simulation system implementation:
- Add comprehensive REST API endpoints for simulation data access
- Implement /v1/simulation/* routes with full CRUD operations
- Support JSON/CSV export for external analysis
- Add statistical comparison between old vs new methods
- Provide node performance history tracking
- Include proper error handling and response formatting
- Simplify simulation coordinator to remove unused complex return types
- Clean up dead code while maintaining all functionality
- Pass clippy with no warnings
The simulation API provides complete access to:
- Simulation epoch listing and details
- Method comparison analytics (old 24h vs new 1h)
- Node performance analysis across epochs
- Route reliability statistics
- Export capabilities for further analysis
All simulation data is persisted and accessible via REST endpoints.
durch