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| import sys | |
| import os | |
| sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))) | |
| from src.ingestion import load_raw_data | |
| from src.preprocessing import clean_and_engineer | |
| def test_preprocessing(): | |
| df = load_raw_data() | |
| processed = clean_and_engineer(df) | |
| assert processed is not None, "Processed DF is None" | |
| assert processed.shape[0] > 0, "No rows after preprocessing" | |
| assert "loan_to_income" in processed.columns, "loan_to_income not created" | |
| assert "avg_dpd_per_delinquency" in processed.columns, "avg_dpd_per_delinquency missing" | |
| # Columns that should be dropped | |
| assert "cust_id" not in processed.columns, "cust_id should be dropped" | |
| assert "loan_id" not in processed.columns, "loan_id should be dropped" | |
| print("Preprocessing test passed. Shape:", processed.shape) | |
| if __name__ == "__main__": | |
| test_preprocessing() | |