Private-GPT Testing: Pytest Unit Test Framework for API Validation
The private-gpt repository demonstrates a comprehensive testing approach focused on validating core application functionality through pytest unit tests. The test suite covers critical components including FastAPI client configuration, document ingestion, chunk retrieval, UI initialization, and chat completion endpoints, ensuring reliable operation of the private GPT implementation. Qodo Tests Hub provides developers with detailed insights into private-gpt's testing patterns, offering interactive exploration of test implementations across different components. Through the platform, developers can analyze how the project handles API testing, mock dependency injection, and response validation – gaining practical knowledge from real-world testing scenarios that can be applied to similar AI-powered applications.
| Path | Test Type | Language | Description |
|---|---|---|---|
| tests/server/utils/test_auth.py |
unit
|
python | This FastAPI unit test verifies that the default ingest list endpoint operates correctly without authentication requirements. |
| tests/server/recipes/test_summarize_router.py |
unit
|
python | This FastAPI unit test suite verifies the summarization router’s functionality including streaming responses, document context handling, and custom prompt processing. |
| tests/settings/test_settings_loader.py |
unit
|
python | This pytest unit test verifies YAML configuration loading with environment variable substitution in private-gpt. |