import pytest import pandas as pd from pandas.errors import ParserError from unittest.mock import patch, mock_open from app.dataloader import load_data # Fixture for valid test data @pytest.fixture def valid_metadata_file(): """Fixture to provide valid metadata CSV content.""" return """SubjectID,OtherInfo 1,Info1 2,Info2 3,Info3 """ @pytest.fixture def valid_proteins_file(): """Fixture to provide valid proteins CSV content.""" return ( "SampleId,TargetFullName,Target,EntrezGeneID,EntrezGeneSymbol" "1,Protein A,A,101,GA" "2,Protein B,B,102,GB" "3,Protein C,C,103,GC" ) @pytest.fixture def invalid_file_content(): """Fixture for invalid file content (non-CSV).""" return "Invalid Content" def test_load_data_valid_files(valid_metadata_file, valid_proteins_file): """Test that load_data loads valid CSV files correctly.""" with patch("pandas.read_csv") as mock_read_csv: mock_read_csv.side_effect = [ pd.DataFrame({"SubjectID": [1, 2, 3], "OtherInfo": ["Info1", "Info2", "Info3"]}), pd.DataFrame({ "SampleId": [1, 2, 3], "TargetFullName": ["Protein A", "Protein B", "Protein C"], "Target": ["A", "B", "C"], "EntrezGeneID": [101, 102, 103], "EntrezGeneSymbol": ["GA", "GB", "GC"] }), ] metadata, proteins = load_data("metadata.csv", "proteins.csv") assert not metadata.empty assert not proteins.empty assert list(metadata.columns) == ["SubjectID", "OtherInfo"] assert list(proteins.columns) == ["SampleId", "TargetFullName", "Target", "EntrezGeneID", "EntrezGeneSymbol"] def test_load_data_invalid_file_path(): """Test that load_data raises ValueError for invalid file paths.""" with pytest.raises(ValueError, match="Error loading files"): load_data("invalid_metadata.csv", "invalid_proteins.csv") def test_load_data_invalid_file_content(): """Test that load_data raises ValueError for invalid file content.""" with patch("pandas.read_csv", side_effect=ParserError("Error parsing file")): with pytest.raises(ValueError, match="Error loading files"): load_data("metadata.csv", "proteins.csv") def test_load_data_empty_files(): """Test that load_data handles empty files correctly.""" with patch("pandas.read_csv") as mock_read_csv: mock_read_csv.side_effect = [pd.DataFrame(), pd.DataFrame()] metadata, proteins = load_data("metadata.csv", "proteins.csv") assert metadata.empty assert proteins.empty