GPT Academic Testing: Unittest Framework Implementation for Academic AI Tools
The gpt_academic repository demonstrates a focused unit testing approach using Python's unittest framework. The test suite encompasses 20 tests covering critical functionalities like LaTeX processing, Bilibili video downloads, API key validation, TTS integration, and plugin systems. The testing framework emphasizes comprehensive validation of both core features and integration points across the academic GPT implementation. Qodo Tests Hub provides developers with detailed insights into gpt_academic's testing patterns, making it easier to understand how different components are validated. Through the platform, developers can explore real-world examples of unittest implementation, study test organization patterns, and learn effective approaches to testing AI-powered academic tools. The repository's test cases serve as practical examples for implementing similar testing strategies in related projects.
| Path | Test Type | Language | Description |
|---|---|---|---|
| tests/test_bilibili_down.py |
unit
|
python | This Python unit test verifies Bilibili video download functionality with focus on audio extraction capabilities. |
| tests/test_doc2x.py |
unit
|
python | This Python unit test verifies PDF to LaTeX conversion functionality using the doc2x parser for academic documents. |
| tests/test_embed.py |
unit
|
python | This Python unit test verifies embedding model functionality and RAG operations in the gpt_academic project |
| tests/test_llms.py |
unit
|
python | This Python unit test verifies the functionality and integration of multiple LLM models through standardized prediction interfaces in the gpt_academic framework. |
| tests/test_markdown_format.py |
unit
|
python | This Python unit test verifies markdown processing and mathematical equation handling in the gpt_academic framework |
| tests/test_media.py |
unit
|
python | This Python unit test verifies multimedia and plugin functionality in the gpt_academic framework through comprehensive plugin testing scenarios. |
| tests/test_plugins.py |
unit
|
python | This Python unit test verifies multiple plugin functionalities in the gpt_academic project including code analysis, document translation, and LaTeX processing |
| tests/test_python_auto_docstring.py |
unit
|
python | This Python unit test verifies automatic docstring generation and code documentation functionality in the GPT Academic framework |
| tests/test_safe_pickle.py |
unit
|
python | This Python unit test verifies safe pickle serialization and path validation for LaTeX document processing in GPT Academic. |
| tests/test_save_chat_to_html.py |
unit
|
python | This Python unit test verifies the conversion and storage of chat conversations to formatted HTML files with proper styling and content extraction capabilities. |