LlamaIndex Testing: Pytest Implementation for Language Model Framework
The llama_index repository implements a comprehensive testing strategy centered around pytest for unit testing critical components of the framework. The test suite, comprising 54 test cases, covers essential functionality like chat engine operations, index querying, token counting, and embedding systems. The testing approach emphasizes verifying core features through isolated unit tests, ensuring reliability and maintainability of the codebase. Qodo Tests Hub provides developers with detailed insights into llama_index's testing patterns, making it easier to understand how different components are tested. Through the platform, developers can explore real-world examples of pytest implementations, study test organization strategies, and learn best practices for testing complex functionality like embedding generation, query composition, and chat engine operations. This practical knowledge helps teams implement more effective testing approaches in their own projects.
| Path | Test Type | Language | Description |
|---|---|---|---|
| llama-index-core/tests/indices/document_summary/test_index.py |
unit
|
python | This pytest unit test verifies DocumentSummaryIndex operations including building indices, managing document references, and handling node deletions in LlamaIndex. |
| llama-index-core/tests/indices/document_summary/test_retrievers.py |
unit
|
python | This Python unit test verifies document summary retriever functionality in LlamaIndex, including embedding-based and LLM-based retrieval mechanisms. |
| llama-index-core/tests/indices/keyword_table/test_retrievers.py |
unit
|
python | This Python unit test verifies keyword-based document retrieval functionality in the SimpleKeywordTableIndex implementation. |
| llama-index-core/tests/indices/query/query_transform/test_base.py |
unit
|
python | This Python unit test verifies the DecomposeQueryTransform functionality for query string manipulation and embedding generation in LlamaIndex. |
| llama-index-core/tests/indices/query/test_embedding_utils.py |
unit
|
python | This Python unit test verifies Maximum Marginal Relevance (MMR) embedding calculations and top-k retrieval functionality in the llama_index framework. |
| llama-index-core/tests/indices/response/test_response_builder.py |
unit
|
python | This Python unit test verifies response builder functionality including different response modes, text chunk processing, and async operations in the llama_index framework. |
| llama-index-core/tests/indices/struct_store/test_json_query.py |
unit
|
python | This pytest unit test verifies JSONQueryEngine functionality with mock LLM responses and JSON data processing in llama_index. |
| llama-index-core/tests/indices/test_utils.py |
unit
|
python | This pytest unit test verifies LlamaIndex utility functions for token expansion and choice parsing operations. |
| llama-index-core/tests/indices/test_loading_graph.py |
unit
|
python | This Python unit test verifies the persistence and restoration of composite graph structures in LlamaIndex’s storage system. |
| llama-index-core/tests/indices/property_graph/test_property_graph.py |
unit
|
python | This Python unit test verifies PropertyGraphIndex construction and entity relationship management in llama_index. |