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/knowledge_graph/test_retrievers.py |
unit
|
python | This Python unit test verifies the Knowledge Graph retrieval functionality in LlamaIndex, including text-based and similarity-based query capabilities. |
| llama-index-core/tests/evaluation/test_base.py |
unit
|
python | This Python unit test verifies the base evaluation functionality of LlamaIndex through mock evaluator implementation and response handling. |
| llama-index-core/tests/indices/test_prompt_helper.py |
unit
|
python | This pytest unit test verifies PromptHelper functionality for text chunking, truncation, and prompt handling in LlamaIndex. |
| llama-index-core/tests/indices/struct_store/test_base.py |
unit
|
python | This Python unit test verifies SQLStructStoreIndex functionality including document insertion, node handling, and context management in llama_index. |
| llama-index-core/tests/indices/struct_store/test_sql_query.py |
unit
|
python | This pytest unit test verifies SQL query functionality and response handling in LlamaIndex’s structured store implementation. |
| llama-index-core/tests/indices/test_loading.py |
unit
|
python | This pytest unit test verifies index storage and loading operations in llama_index, ensuring proper persistence and retrieval functionality across different index types. |
| llama-index-core/tests/indices/tree/test_index.py |
unit
|
python | This Python unit test suite verifies TreeIndex functionality for hierarchical document organization and indexing operations in LlamaIndex. |
| llama-index-core/tests/callbacks/test_llama_debug.py |
unit
|
python | This Python unit test verifies the LlamaDebugHandler’s event management and debug information collection capabilities in the llama_index framework. |
| llama-index-core/tests/agent/runner/test_planner.py |
unit
|
python | This Python unit test verifies the functionality of a structured planner agent including plan creation, task execution, and state management workflows. |
| llama-index-core/tests/callbacks/test_token_counter.py |
unit
|
python | This Python unit test verifies token counting functionality for LLM and embedding operations in the TokenCountingHandler class. |