gnn-test-suite

Automate pytest execution across multiple pipeline modules by running a categorized test suite that handles discovery, execution, and coverage reporting. This validates 25 distinct modules, including gnn, render, mcp, and ontology, while emitting detailed JSON and Markdown reports.

Validating GNN pipeline test coverage after adding a new feature is best handled by running the comprehensive test mode. It executes all 25 module categories to verify no regressions and automatically generates a detailed Markdown summary report with integrated coverage metrics.

The GNN test suite requires Python 3.9 or higher and PyTest with a modular runner. You also need access to the src/tests directory structure to execute tests and generate coverage reports across the 25 processing pipeline modules.

You can run tests for specific categories like mcp or llm instead of the full suite. The test runner supports category-based execution across modules, allowing you to target specific areas like audio, visualization, or ontology while still generating accurate coverage results.

Test recovery pathways handle missing dependencies or pipeline failures by applying production-grade fallback mechanisms. This ensures the pipeline remains healthy during execution, allowing the test suite to complete validation and aggregate results rather than failing the entire run.

When validating the test pipeline, the runner generates both JSON and Markdown reporting formats. These reports include integrated coverage metrics, execution summaries, and detailed module-level results to support development, continuous integration, and debugging workflows.