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Posted to issues@hugegraph.apache.org by "yanchaomei (via GitHub)" <gi...@apache.org> on 2025/03/05 09:35:35 UTC

[PR] feat(llm):improve some RAG function UT(tests) [incubator-hugegraph-ai]

yanchaomei opened a new pull request, #192:
URL: https://github.com/apache/incubator-hugegraph-ai/pull/192

   fix #167
   
   # Comprehensive Test Suite Implementation for HugeGraph-LLM
   
   This PR implements a complete test suite for the HugeGraph-LLM project, covering all major components and ensuring code quality and reliability.
   
   ## Summary of Test Implementation
   
   ### 1. Test Infrastructure
   - Created `run_tests.py` script for easy test execution
   - Implemented `conftest.py` with test configuration and fixtures
   - Added test utilities in `test_utils.py` for common testing functions
   - Set up test data directories with sample documents, schemas, and prompts
   
   ### 2. Document Processing Tests
   - `test_document.py`: Tests for document module imports and basic functionality
   - `test_document_splitter.py`: Tests for document chunking in different languages
   - `test_text_loader.py`: Tests for loading text files with various encodings
   
   ### 3. Integration Tests
   - `test_graph_rag_pipeline.py`: End-to-end tests for graph-based RAG pipeline
   - `test_kg_construction.py`: Tests for knowledge graph construction from documents
   - `test_rag_pipeline.py`: Tests for standard RAG pipeline functionality
   
   ### 4. Middleware Tests
   - `test_middleware.py`: Tests for FastAPI middleware components
   
   ### 5. Model Tests
   - LLM Tests:
     - `test_openai_client.py`: Tests for OpenAI API integration
     - `test_qianfan_client.py`: Tests for Baidu Qianfan API integration
     - `test_ollama_client.py`: Tests for Ollama local model integration
   - Embedding Tests:
     - `test_openai_embedding.py`: Tests for OpenAI embedding functionality
     - `test_ollama_embedding.py`: Tests for Ollama embedding functionality
   - Reranker Tests:
     - `test_cohere_reranker.py`: Tests for Cohere reranking API
     - `test_siliconflow_reranker.py`: Tests for SiliconFlow reranking API
     - `test_init_reranker.py`: Tests for reranker initialization
   
   ### 6. Operator Tests
   - Common Operations:
     - `test_check_schema.py`: Tests for schema validation
     - `test_merge_dedup_rerank.py`: Tests for result merging and reranking
     - `test_nltk_helper.py`: Tests for NLP utilities
     - `test_print_result.py`: Tests for result output formatting
   - Document Operations:
     - `test_chunk_split.py`: Tests for document chunking strategies
     - `test_word_extract.py`: Tests for keyword extraction
   - HugeGraph Operations:
     - `test_commit_to_hugegraph.py`: Tests for graph data writing
     - `test_fetch_graph_data.py`: Tests for graph data retrieval
     - `test_graph_rag_query.py`: Tests for graph-based RAG queries
     - `test_schema_manager.py`: Tests for graph schema management
   - Index Operations:
     - `test_build_gremlin_example_index.py`: Tests for Gremlin example indexing
     - `test_build_semantic_index.py`: Tests for semantic indexing
     - `test_build_vector_index.py`: Tests for vector index construction
     - `test_gremlin_example_index_query.py`: Tests for querying Gremlin examples
     - `test_semantic_id_query.py`: Tests for semantic ID queries
     - `test_vector_index_query.py`: Tests for vector index queries
   - LLM Operations:
     - `test_gremlin_generate.py`: Tests for Gremlin query generation
     - `test_keyword_extract.py`: Tests for LLM-based keyword extraction
     - `test_property_graph_extract.py`: Tests for property graph extraction
   
   ## Testing Approach
   
   The test suite employs several testing strategies:
   
   1. **Unit Tests**: Testing individual components in isolation
   2. **Integration Tests**: Testing interactions between components
   3. **Mock Testing**: Using mocks to simulate external dependencies
   4. **Parametrized Tests**: Testing with various input combinations
   5. **Exception Testing**: Verifying proper error handling
   
   ## Key Features
   
   - **Comprehensive Coverage**: Tests for all major modules and components
   - **External Service Handling**: Tests can skip external service dependencies when needed
   - **Mock Implementations**: Provides mock implementations for external services
   - **Test Data**: Includes sample data for consistent test execution
   - **Isolation**: Tests are designed to run independently without side effects
   
   ## Results
   
   All tests pass successfully, ensuring the reliability and correctness of the HugeGraph-LLM codebase. The test suite provides a solid foundation for future development and helps maintain code quality as the project evolves.
   


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