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Add comprehensive tests for semantic chunking and search functionality

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- Implemented tests for the ChunkConfig and Chunker classes, covering default and custom configurations.
- Added tests for symbol-based chunking, including single and multiple symbols, handling of empty symbols, and preservation of line numbers.
- Developed tests for sliding window chunking, ensuring correct chunking behavior with various content sizes and configurations.
- Created integration tests for semantic search, validating embedding generation, vector storage, and search accuracy across a complex codebase.
- Included performance tests for embedding generation and search operations.
- Established tests for chunking strategies, comparing symbol-based and sliding window approaches.
- Enhanced test coverage for edge cases, including handling of unicode characters and out-of-bounds symbol ranges.
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catlog22
2025-12-12 19:55:35 +08:00
parent c42f91a7fe
commit 4faa5f1c95
27 changed files with 4812 additions and 129 deletions
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codex-lens/pyproject.toml
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@@ -24,9 +24,9 @@ dependencies = [
]
[project.optional-dependencies]
# Semantic search using fastembed (ONNX-based, lightweight ~200MB)
semantic = [
"numpy>=1.24",
"sentence-transformers>=2.2",
"fastembed>=0.2",
]