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Creation of the folder "tests"
to create the folder
to test the script "ai_response.py"
created for testing purposes
to test the pdf process utils
I updated commands to run the tests.
To test the services Key Features: Complete Function Coverage: get_embeddings() - Tests model loading with different devices and error handling create_vector_store() - Tests vector store creation, directory handling, and edge cases load_vector_store() - Tests loading existing vector stores and error scenarios similarity_search() - Tests search functionality with various parameters Comprehensive Test Scenarios: Success cases: Normal operation with valid inputs Error handling: Exception handling, missing files, invalid inputs Edge cases: Empty chunks, missing embeddings, non-existent paths Integration tests: Full workflow from embeddings to search Advanced Testing Features: Mocking: Extensive use of mocks to avoid dependencies on actual ML models Parametrized tests: Tests different model names, devices, and k values Fixtures: Reusable test data for consistent testing Temporary directories: Safe file system testing Test Categories: TestGetEmbeddings: Model loading and device configuration TestCreateVectorStore: Vector store creation and persistence TestLoadVectorStore: Loading saved vector stores TestSimilaritySearch: Search functionality and result handling TestIntegration: End-to-end workflow testing
Added instructions Key Testing Benefits: No ML Dependencies: Tests run without requiring actual HuggingFace models or FAISS installations Fast Execution: Mocked dependencies ensure quick test runs Error Simulation: Tests various failure scenarios your code might encounter Workflow Validation: Integration tests ensure functions work together correctly The test suite will help verify that embedding and vector store services work correctly across different scenarios and handle errors gracefully.
Chat History and Basic UI
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