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/tree/test_retrievers.py |
unit
|
python | This Python unit test verifies TreeIndex retriever functionality for basic queries and summarization operations in LlamaIndex. |
| llama-index-core/tests/agent/react/test_react_agent.py |
unit
|
python | This pytest unit test verifies the ReActAgent’s chat functionality, streaming capabilities, and tool integration in the llama_index framework. |
| llama-index-core/tests/agent/runner/test_base.py |
unit
|
python | This Python unit test verifies agent execution workflows, task management, and event handling in the LlamaIndex framework’s agent runner implementation. |
| llama-index-core/tests/base/llms/test_types.py |
unit
|
python | This pytest unit test verifies ChatMessage and ImageBlock functionality in LlamaIndex’s core message handling system. |
| llama-index-core/tests/chat_engine/test_context.py |
unit
|
python | This pytest unit test verifies ContextChatEngine functionality including synchronous and asynchronous chat operations, streaming responses, and chat history management. |
| llama-index-core/tests/evaluation/test_batch_runner.py |
unit
|
python | This Python unit test verifies the batch evaluation functionality of responses using single and multiple evaluators in the llama_index framework. |
| llama-index-core/tests/evaluation/test_dataset_generation.py |
unit
|
python | This Python unit test verifies the dataset generation functionality by testing question-answer pair creation from text nodes using mock LLM predictions. |
| llama-index-core/tests/graph_stores/test_simple_lpg.py |
unit
|
python | This Python unit test verifies the functionality of SimplePropertyGraphStore including node operations, relationships, and triplet management. |
| llama-index-core/tests/indices/knowledge_graph/test_base.py |
unit
|
python | This pytest unit test verifies the functionality and correctness of the KnowledgeGraphIndex implementation including graph construction, triplet handling, and embedding operations. |
| llama-index-core/tests/indices/list/test_retrievers.py |
unit
|
python | This Python unit test verifies multiple retrieval modes in the SummaryIndex implementation of llama_index, including default, embedding-based, and LLM-based retrieval. |