| import pytest
|
| import pandas as pd
|
| from pandas.errors import ParserError
|
| from unittest.mock import patch, mock_open
|
| from app.dataloader import load_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
|
|
|
