test_dataset.py

"""
This test file tests the Dataset class in Dataset.py.
"""

from Dataset import Dataset
import pandas as pd
from pathlib import Path
import pytest

this_file_dir = Path(__file__).parent


@pytest.fixture
def the_dataset() -> Dataset:
    dataset = Dataset(str(this_file_dir / "../data/GamingStudy_data.csv"))
    return dataset


def test_load_Dataset_class():
    """Tests if the dataset is successfully loaded."""
    dataset = Dataset(str(this_file_dir / "../data/GamingStudy_data.csv"))
    assert type(dataset) == Dataset
    assert type(dataset.dataframe) == pd.DataFrame


def test_get_dataframe(the_dataset: Dataset):
    """Tests Dataset.get_dataframe()."""
    assert type(the_dataset.get_dataframe()) == pd.DataFrame


def test_combined_anxiety_score(the_dataset: Dataset):
    """Tests Dataset.get_combined_anxiety_score()."""
    dataframe = the_dataset.get_dataframe()
    anxiety_scores = the_dataset.get_combined_anxiety_score(dataframe)
    assert anxiety_scores.dtype == float
    assert anxiety_scores.min() >= 0
    assert anxiety_scores.max() <= 1


def test_get_is_narcissist_col(the_dataset: Dataset):
    """Tests Dataset.get_is_narcissist_col()."""
    dataframe = the_dataset.get_dataframe()
    is_narcissist_row = the_dataset.get_is_narcissist_col(dataframe)
    assert is_narcissist_row.dtype == bool


def test_preprocessed_dataframe(the_dataset: Dataset):
    """Tests that the dataframe is preprocessed correctly."""
    dataframe = the_dataset.get_dataframe()
    columns_set = set(dataframe.columns)
    assert "League" not in columns_set
    assert "Anxiety_score" in columns_set
    assert "Is_narcissist" in columns_set


def test_get_sorted_columns(the_dataset: Dataset):
    """Tests Dataset.get_sorted_column()."""
    sorted_GAD1 = the_dataset.get_sorted_column("GAD_T")
    assert sorted_GAD1.iloc[0] <= sorted_GAD1.iloc[-1]