Chris Coutinho
3464b21845
Fix false-positive validation error where DBSF (Distribution-Based Score Fusion) correctly produces scores > 1.0 but SearchResult validation incorrectly rejected them. **Root Cause**: SearchResult.__post_init__() enforced scores in [0.0, 1.0] range, but DBSF sums normalized scores from multiple retrieval systems (dense semantic + sparse BM25), resulting in scores like 1.55 when both systems strongly agree a document is relevant. **Changes**: - Relaxed validation to allow any score ≥ 0.0 (algorithms.py:147-157) - Updated SearchResult and SemanticSearchResult documentation to explain score ranges for RRF ([0.0, 1.0]) vs DBSF (unbounded) - Added comprehensive test coverage for both fusion methods - Added DBSF fusion option to vector visualization UI - Updated viz routes and vizApp() to support fusion parameter selection **Testing**: All 157 unit tests pass, type checking passes, ruff passes Fixes error: "Configuration error: Score must be between 0.0 and 1.0, got 1.1528953" 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2 lines
40 B
Python
2 lines
40 B
Python
"""Unit tests for search algorithms."""
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