sensospot_parser/tests/test_parameters.py

from .conftest import EXAMPLE_DIR_WO_PARAMS, EXAMPLE_DIR_WITH_PARAMS


def test_search_measurement_params_file_ok(example_dir):
    from sensospot_data.parameters import _search_measurement_params_file

    result = _search_measurement_params_file(
        example_dir / EXAMPLE_DIR_WITH_PARAMS
    )

    assert result.suffix == ".svexp"


def test_search_measurement_params_file_no_parameters_folder(example_dir):
    from sensospot_data.parameters import _search_measurement_params_file

    result = _search_measurement_params_file(
        example_dir / EXAMPLE_DIR_WO_PARAMS
    )

    assert result is None


def test_ssearch_measurement_params_file_parameters_file(tmpdir):
    from sensospot_data.parameters import _search_measurement_params_file

    params_dir = tmpdir / "Parameters"
    params_dir.mkdir()

    result = _search_measurement_params_file(tmpdir)

    assert result is None


def test_parse_channel_info(example_dir):
    from sensospot_data.parameters import (
        _parse_measurement_params,
        _search_measurement_params_file,
    )

    params = _search_measurement_params_file(
        example_dir / EXAMPLE_DIR_WITH_PARAMS
    )
    result = _parse_measurement_params(params)

    assert set(result.keys()) == {1, 2, 3}
    assert result[1] == ("green", 100)
    assert result[2] == ("red", 150)
    assert result[3] == ("red", 15)


def test_get_measurement_params_file_found(example_dir):
    from sensospot_data.parameters import get_measurement_params

    result = get_measurement_params(example_dir / EXAMPLE_DIR_WITH_PARAMS)

    assert set(result.keys()) == {1, 2, 3}
    assert result[1] == ("green", 100)
    assert result[2] == ("red", 150)
    assert result[3] == ("red", 15)


def test_get_measurement_params_file_not_found(example_dir):
    from sensospot_data.parameters import get_measurement_params

    result = get_measurement_params(example_dir / EXAMPLE_DIR_WO_PARAMS)

    assert result is None


def test_add_measurement_params(exposure_df):
    from sensospot_data.parameters import ExposureInfo, _add_measurement_params

    params = {
        1: ExposureInfo("red", 10),
        2: ExposureInfo("green", 20),
        3: ExposureInfo("blue", 50),
    }

    result = _add_measurement_params(exposure_df, params)

    assert result["Exposure.Id"][0] == 1
    assert result["Parameters.Channel"][0] == "red"
    assert result["Parameters.Time"][0] == 10
    assert result["Exposure.Id"][1] == 2
    assert result["Parameters.Channel"][1] == "green"
    assert result["Parameters.Time"][1] == 20
    assert result["Exposure.Id"][2] == 3
    assert result["Parameters.Channel"][2] == "blue"
    assert result["Parameters.Time"][2] == 50


def test_add_optional_measurement_parameters_with_params_file(
    exposure_df, example_dir
):
    from sensospot_data.parameters import add_optional_measurement_parameters

    folder = example_dir / EXAMPLE_DIR_WITH_PARAMS
    exposure_df = add_optional_measurement_parameters(exposure_df, folder)

    expected = [(1, "green", 100), (2, "red", 150), (3, "red", 15)]
    for exposure_id, channel, time in expected:
        mask = exposure_df["Exposure.Id"] == exposure_id
        example_row = exposure_df.loc[mask].iloc[0]
        assert example_row["Parameters.Channel"] == channel
        assert example_row["Parameters.Time"] == time


def test_add_optional_measurement_parameters_without_params_file(
    exposure_df, example_dir
):
    from sensospot_data.parameters import add_optional_measurement_parameters

    folder = example_dir / EXAMPLE_DIR_WO_PARAMS
    exposure_df = add_optional_measurement_parameters(exposure_df, folder)

    for exposure_id in range(1, 4):
        mask = exposure_df["Exposure.Id"] == exposure_id
        one_exposure_data_frame = exposure_df.loc[mask]
        assert one_exposure_data_frame["Parameters.Channel"].hasnans
        assert one_exposure_data_frame["Parameters.Time"].hasnans


def test_apply_map(exposure_df):
    from sensospot_data.parameters import _apply_map

    map = {
        1: {"SomeColumn": "A", "OtherColumn": 9},
        2: {"SomeColumn": "B", "OtherColumn": 8},
        3: {"SomeColumn": "C", "OtherColumn": 7},
    }

    result = _apply_map(exposure_df, map, "Exposure.Id")

    for key, value in map.items():
        mask = result["Exposure.Id"] == key
        partial = result.loc[mask]
        assert set(partial["SomeColumn"].unique()) == {value["SomeColumn"]}
        assert set(partial["OtherColumn"].unique()) == {value["OtherColumn"]}


def test_apply_map_keys_not_in_df(exposure_df):
    from sensospot_data.parameters import _apply_map

    map = {
        1: {"some_col": "A", "other_col": 9},
        2: {"some_col": "B", "other_col": 8},
        3: {"some_col": "C", "other_col": 7},
        4: {"some_col": "D", "other_col": 6},
    }

    result = _apply_map(exposure_df, map, "Exposure.Id")

    for key in (1, 2, 3):
        value = map[key]
        mask = result["Exposure.Id"] == key
        partial = result.loc[mask]
        assert set(partial["some_col"].unique()) == {value["some_col"]}
        assert set(partial["other_col"].unique()) == {value["other_col"]}

    assert "D" not in set(result["some_col"].unique())
    assert "6" not in set(result["other_col"].unique())


def test_apply_map_not_all_keys_map_to_df(exposure_df):
    from sensospot_data.parameters import _apply_map

    map = {
        1: {"some_col": "A", "other_col": 9},
        3: {"some_col": "C", "other_col": 7},
    }

    result = _apply_map(exposure_df, map, "Exposure.Id")

    assert not result.iloc[0].hasnans
    assert result.iloc[1].hasnans
    assert not result.iloc[2].hasnans

    assert result["some_col"].hasnans
    assert result["other_col"].hasnans