Testing

AIDRIN includes a suite of unit tests that run without a web interface, Celery broker, or Redis instance. They cover the core metrics library, file readers, and data quality functions.

Running the Unit Tests

Prerequisites

Activate the conda environment and ensure pytest and pytest-cov are installed:

conda activate aidrin-env
pip install pytest pytest-cov

Running All Unit Tests

From the project root:

PYTHONPATH=. pytest tests/unit/ -v

PYTHONPATH=. is required so Python can locate the aidrin and web packages.

Running a Specific Test File

PYTHONPATH=. pytest tests/unit/test_data_quality.py -v

Checking Code Coverage

PYTHONPATH=. pytest tests/unit/ --cov=aidrin --cov-report=term-missing

Test Structure

Tests live in tests/unit/ and are grouped by functional area:

File	What is tested
`test_data_quality.py`	Completeness, duplicity, outliers
`test_fairness.py`	Representation rate, statistical rate, class imbalance
`test_privacy.py`	Single/multiple-attribute MM risk scores, k-anonymity, l-diversity, t-closeness, entropy risk
`test_hipaa.py`	HIPAA identifier detection (SSN, email, phone, IP, URL, medical IDs)
`test_file_readers.py`	JSON and NPZ file readers
`test_hdf5_reader.py`	HDF5 file reader
`test_dtype_guards.py`	dtype handling across narrow numeric types and pandas StringDtype

Integration Tests

Integration tests (requiring a running Flask app) live in tests/integration/. See Installation for instructions on starting the full application stack before running them:

PYTHONPATH=. pytest tests/integration/ -v