Parsing the numerical output from Sensovation SensoSpot image analysis.
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import pandas
from .conftest import EXAMPLE_DIR_CSV_WITH_PARAMS, EXAMPLE_DIR_CSV_WO_PARAMS
def test_search_params_file_ok(example_dir):
from sensospot_parser.parameters import _search_params_file
result = _search_params_file(example_dir / EXAMPLE_DIR_CSV_WITH_PARAMS)
assert result.suffix == ".svexp"
def test_search_params_file_no_parameters_folder(example_dir):
from sensospot_parser.parameters import _search_params_file
result = _search_params_file(example_dir / EXAMPLE_DIR_CSV_WO_PARAMS)
assert result is None
def test_ssearch_measurement_params_file_parameters_file(tmpdir):
from sensospot_parser.parameters import _search_params_file
params_dir = tmpdir / "Parameters"
params_dir.mkdir()
result = _search_params_file(tmpdir)
assert result is None
def test_parse_channel_info(example_dir):
from sensospot_parser.parameters import (
_parse_measurement_params,
_search_params_file,
)
params = _search_params_file(example_dir / EXAMPLE_DIR_CSV_WITH_PARAMS)
result = _parse_measurement_params(params)
expected = pandas.DataFrame(
{
"Exposure.Id": [1, 2, 3],
"Parameters.Channel": ["green", "red", "red"],
"Parameters.Time": [100.0, 150.0, 15.0],
}
)
assert result.equals(expected)
def test_get_measurement_params_file_found(example_dir):
from sensospot_parser.parameters import get_measurement_params
result = get_measurement_params(example_dir / EXAMPLE_DIR_CSV_WITH_PARAMS)
expected = pandas.DataFrame(
{
"Exposure.Id": [1, 2, 3],
"Parameters.Channel": ["green", "red", "red"],
"Parameters.Time": [100.0, 150.0, 15.0],
}
)
assert result.equals(expected)
def test_get_measurement_params_file_not_found(example_dir):
from sensospot_parser.parameters import get_measurement_params
result = get_measurement_params(example_dir / EXAMPLE_DIR_CSV_WO_PARAMS)
assert result is None
def test_add_measurement_parameters_with_params_file(exposure_df, example_dir):
from sensospot_parser.parameters import add_measurement_parameters
folder = example_dir / EXAMPLE_DIR_CSV_WITH_PARAMS
exposure_df = add_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_measurement_parameters_without_params_file(
exposure_df, example_dir
):
from sensospot_parser.parameters import add_measurement_parameters
folder = example_dir / EXAMPLE_DIR_CSV_WO_PARAMS
exposure_df = add_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