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/agent/custom/test_simple_function.py |
unit
|
python | This pytest unit test verifies the functionality of a stateful function agent worker with both synchronous and asynchronous execution paths. |
| llama-index-core/tests/agent/react/test_react_output_parser.py |
unit
|
python | This Python unit test verifies the React output parser’s ability to extract and validate tool actions, reasoning steps, and final responses from agent interactions. |
| llama-index-core/tests/chat_engine/test_condense_plus_context.py |
unit
|
python | This pytest unit test verifies the functionality of CondensePlusContextChatEngine including chat operations, streaming, and async capabilities. |
| llama-index-core/tests/embeddings/test_utils.py |
unit
|
python | This pytest unit test verifies the proper resolution of embedding models in LlamaIndex, particularly focusing on the default MockEmbedding initialization. |
| llama-index-core/tests/indices/keyword_table/test_utils.py |
unit
|
python | This Python unit test verifies keyword extraction functionality in the llama_index keyword table utilities module. |
| llama-index-core/tests/indices/query/test_compose_vector.py |
unit
|
python | This Python unit test verifies recursive query functionality across composite vector and table indices in LlamaIndex. |
| llama-index-core/tests/indices/query/test_query_bundle.py |
unit
|
python | This pytest unit test verifies the functionality of query bundle embedding and retrieval operations in the llama_index framework. |
| llama-index-core/tests/indices/empty/test_base.py |
unit
|
python | This Python unit test verifies the initialization and retrieval functionality of the EmptyIndex class in the llama_index framework. |
| llama-index-core/tests/indices/list/test_index.py |
unit
|
python | This Python unit test verifies SummaryIndex functionality including document building, refresh, insertion, deletion, and retrieval operations. |
| llama-index-core/tests/evaluation/test_platform_eval.py |
unit
|
python | This pytest integration test verifies the upload and management of evaluation datasets in the Llama Cloud platform. |