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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
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