Parsing the numerical output from Sensovation SensoSpot image analysis.
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""" testing the __ini__ file """
import pytest
from .conftest import EXAMPLE_DIR_CSV_WO_PARAMS, EXAMPLE_DIR_XML_WO_PARAMS
def test_import_api():
from sensospot_parser import (
columns, # noqa: F401
main, # noqa: F401
parse_csv_folder, # noqa: F401
parse_folder, # noqa: F401
parse_xml_folder, # noqa: F401
)
def test_compare_xml_to_csv(example_dir):
import pandas
from sensospot_parser import parse_csv_folder, parse_xml_folder
folder = example_dir / EXAMPLE_DIR_XML_WO_PARAMS
csv_df = parse_csv_folder(folder)
xml_df = parse_xml_folder(folder)
assert isinstance(csv_df, pandas.DataFrame)
assert isinstance(xml_df, pandas.DataFrame)
assert len(csv_df) == len(xml_df)
assert set(csv_df.columns) == set(xml_df.columns)
assert set(csv_df["Well.Name"]) == set(xml_df["Well.Name"])
assert set(csv_df["Exposure.Id"]) == set(xml_df["Exposure.Id"])
assert set(csv_df["Spot.Diameter"]) == set(xml_df["Spot.Diameter"])
@pytest.mark.parametrize(
("folder", "length", "hasnans"),
[
(EXAMPLE_DIR_XML_WO_PARAMS, 6400, False),
(EXAMPLE_DIR_CSV_WO_PARAMS, 28800, True),
],
)
def test_parse_folder_switches_parser(example_dir, folder, length, hasnans):
import pandas
from sensospot_parser import parse_folder
result = parse_folder(example_dir / folder)
assert isinstance(result, pandas.DataFrame)
assert len(result) == length
assert result["Analysis.Datetime"].hasnans == hasnans