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from superset.utils.pandas_postprocessing import compare
from tests.unit_tests.fixtures.dataframes import timeseries_df2
from tests.unit_tests.pandas_postprocessing.utils import series_to_list


def test_compare():
    # `difference` comparison
    post_df = compare(
        df=timeseries_df2,
        source_columns=["y"],
        compare_columns=["z"],
        compare_type="difference",
    )
    assert post_df.columns.tolist() == ["label", "y", "z", "difference__y__z"]
    assert series_to_list(post_df["difference__y__z"]) == [0.0, -2.0, -8.0, -6.0]

    # drop original columns
    post_df = compare(
        df=timeseries_df2,
        source_columns=["y"],
        compare_columns=["z"],
        compare_type="difference",
        drop_original_columns=True,
    )
    assert post_df.columns.tolist() == ["label", "difference__y__z"]

    # `percentage` comparison
    post_df = compare(
        df=timeseries_df2,
        source_columns=["y"],
        compare_columns=["z"],
        compare_type="percentage",
    )
    assert post_df.columns.tolist() == ["label", "y", "z", "percentage__y__z"]
    assert series_to_list(post_df["percentage__y__z"]) == [0.0, -0.5, -0.8, -0.75]

    # `ratio` comparison
    post_df = compare(
        df=timeseries_df2,
        source_columns=["y"],
        compare_columns=["z"],
        compare_type="ratio",
    )
    assert post_df.columns.tolist() == ["label", "y", "z", "ratio__y__z"]
    assert series_to_list(post_df["ratio__y__z"]) == [1.0, 0.5, 0.2, 0.25]