feat(search-v2): implement function-level chunking with tree-sitter#138
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Closes OpenCodeIntel#68 Add function-level code extraction using tree-sitter AST parsing: - TreeSitterExtractor for Python/JS/TS function extraction - FunctionFilter to remove test/junk functions - ExtractedFunction and SearchResult data models - index_repository_v2() method in indexer - 15 tests passing Part 1 of 4 in Search V2 epic.
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Issue #68: Function-level Chunking
Summary
This PR implements the foundation for Search V2 by adding function-level code extraction using tree-sitter AST parsing.
Changes
backend/services/search_v2/types.py- Data models (ExtractedFunction,SearchResult,Language)backend/services/search_v2/tree_sitter_extractor.py- AST-based function extraction for Python/JS/TSbackend/services/search_v2/function_filter.py- Quality filtering to remove test/junk functionsbackend/services/search_v2/__init__.py- Module exportsbackend/services/indexer_optimized.py- Addedindex_repository_v2()methodbackend/tests/test_search_v2_chunking.py- 15 tests (all passing)Key Features
Class.methodformat for disambiguationtest_*,mock_*, benchmark functionsTest Results
Part of Search V2 Epic
This is PR 1 of 4:
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