- Added new metrics fields: sub_universe_sharpe, robust_universe_sharpe, two_year_sharpe, prod_correlation, pnl, check_type, and neutralization to the Alpha model.
- Updated snapshot_columns function to derive new metrics and check types from platform snapshots.
- Enhanced API to include failed checks and check types in responses.
- Created migration script to backfill existing Alpha records with new metrics and check types.
- Updated frontend components to display new metrics and allow editing of custom tags.
- Improved filtering and sorting capabilities for new metrics in the Alpha list.
- Added tests for new functionality including checks classification and metrics filtering.
- Introduced a comprehensive specification for a dataset catalog focused on single dataset research.
- Defined user stories, implementation decisions, and testing strategies to enhance the research workflow.
- Established clear constraints and visual components to align with Lark design principles.
- Outlined synchronization and persistence strategies for dataset and field management.
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