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Add benchmark results for fast3 and fast4, implement KeepAliveLspBridge, and add tests for staged strategies

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- Added new benchmark result files: compare_2026-02-09_score_fast3.json and compare_2026-02-09_score_fast4.json.
- Implemented KeepAliveLspBridge to maintain a persistent LSP connection across multiple queries, improving performance.
- Created unit tests for staged clustering strategies in test_staged_stage3_fast_strategies.py, ensuring correct behavior of score and dir_rr strategies.
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catlog22
2026-02-09 20:45:29 +08:00
parent c62d26183b
commit 4344e79e68
64 changed files with 6154 additions and 123 deletions
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codex-lens/src/codexlens/config.py
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@@ -153,7 +153,7 @@ class Config:
staged_realtime_lsp_max_concurrent: int = 2 # Max concurrent LSP requests during graph expansion
staged_realtime_lsp_warmup_s: float = 3.0 # Wait for server analysis after opening seed docs
staged_realtime_lsp_resolve_symbols: bool = False # If True, resolves symbol names via documentSymbol (slower)
staged_clustering_strategy: str = "auto" # "auto", "hdbscan", "dbscan", "frequency", "noop"
staged_clustering_strategy: str = "auto" # "auto", "hdbscan", "dbscan", "frequency", "noop", "score", "dir_rr", "path"
staged_clustering_min_size: int = 3 # Minimum cluster size for Stage 3 grouping
enable_staged_rerank: bool = True # Enable optional cross-encoder reranking in Stage 4