def test_check_chunksize_positive():
invalid_meta = source.MetaData(
chunk_size=-12,
recurrence_size=10,
recurrence_distance=1,
consistency_sample_size=10,
)
assert error_handling.check_chunksize_positive(
meta=invalid_meta
) == either.Left(error_handling.ErrorCode.CHUNKSIZE_NONPOSITIVE)
valid_meta = source.MetaData(
chunk_size=0,
recurrence_size=10,
recurrence_distance=1,
consistency_sample_size=10,
)
assert error_handling.check_chunksize_positive(
meta=valid_meta
) == either.Right(valid_meta)
valid_meta = source.MetaData(
chunk_size=12,
recurrence_size=10,
recurrence_distance=1,
consistency_sample_size=10,
)
assert error_handling.check_chunksize_positive(
meta=valid_meta
) == either.Right(valid_meta)
def test_check_recurrence_size_nonnegative():
invalid_meta = source.MetaData(
chunk_size=12,
recurrence_size=-10,
recurrence_distance=1,
consistency_sample_size=10,
)
assert error_handling.check_recurrence_size_nonnegative(
meta=invalid_meta
) == either.Left(error_handling.ErrorCode.RECURRENCESIZE_NEGATIVE)
valid_meta = source.MetaData(
chunk_size=12,
recurrence_size=10,
recurrence_distance=1,
consistency_sample_size=10,
)
assert error_handling.check_recurrence_size_nonnegative(
meta=valid_meta
) == either.Right(valid_meta)
valid_meta = source.MetaData(
chunk_size=12,
recurrence_size=0,
recurrence_distance=1,
consistency_sample_size=10,
)
assert error_handling.check_recurrence_size_nonnegative(
meta=valid_meta
) == either.Right(valid_meta)
def test_processes_example_file_correct(tmpdir):
meta = source.MetaData(
chunk_size=6,
recurrence_size=2,
recurrence_distance=3,
consistency_sample_size=10,
)
output_filename = pathlib.Path(tmpdir) / "output.tdms"
fix.export_correct_data(
tdms_path="tests/assets/example_file.tdms",
meta=meta,
export_path=output_filename,
)
tdms_operator = nptdms.TdmsFile(output_filename)
df_result = tdms_operator.as_dataframe()
assert len(df_result) == 15
assert np.array_equal(
df_result.columns.values,
np.array([
"/'Untitled'/'D'",
"/'Untitled'/'C'",
"/'Untitled'/'B'",
"/'Untitled'/'A'",
]),
)
assert np.array_equal(df_result["/'Untitled'/'A'"].values,
np.arange(1, 16))
def main(
recurrence_size: int,
recurrence_distance: int,
chunk_size: int,
consistency_sample_size: int,
output_file: str,
filename: str,
):
meta = source.MetaData(
recurrence_distance=recurrence_distance,
recurrence_size=recurrence_size,
chunk_size=chunk_size,
consistency_sample_size=consistency_sample_size,
)
tdms_path = pathlib.Path(filename)
if output_file == "":
name = tdms_path.with_suffix("").name + "_corrected.tdms"
export_path = tdms_path.parent.joinpath(name)
else:
export_path = pathlib.Path(output_file)
fix.export_correct_data(tdms_path=tdms_path,
meta=meta,
export_path=export_path)
CLI_CONFIG.update_config(
recurrence_distance=recurrence_distance,
recurrence_size=recurrence_size,
chunk_size=chunk_size,
consistency_sample_size=consistency_sample_size,
)
CLI_CONFIG.to_yaml(PATH_TO_CONFIG)
def main(
recurrence_size: int,
recurrence_distance: int,
chunk_size: int,
consistency_sample_size: int,
output_file: str,
filename: str,
segment_size: int,
):
meta = source.MetaData(
recurrence_distance=recurrence_distance,
recurrence_size=recurrence_size,
chunk_size=chunk_size,
consistency_sample_size=consistency_sample_size,
segment_size=segment_size,
)
fix.export_correct_data(filename=filename,
meta=meta,
output_file=output_file)
CLI_CONFIG.update_config(
recurrence_distance=recurrence_distance,
recurrence_size=recurrence_size,
chunk_size=chunk_size,
consistency_sample_size=consistency_sample_size,
segment_size=segment_size,
)
CLI_CONFIG.to_yaml(PATH_TO_CONFIG)
def test_check_recurrence_size_smaller_chunk_size():
invalid_meta = source.MetaData(
chunk_size=10,
recurrence_size=12,
recurrence_distance=1,
consistency_sample_size=10,
)
assert error_handling.check_recurrence_size_smaller_chunk_size(
meta=invalid_meta
) == either.Left(error_handling.ErrorCode.RECURRENCESIZE_GREATER_CHUNKSIZE)
valid_meta = source.MetaData(
chunk_size=12,
recurrence_size=10,
recurrence_distance=1,
consistency_sample_size=10,
)
assert error_handling.check_recurrence_size_smaller_chunk_size(
meta=valid_meta
) == either.Right(valid_meta)
def test_correct_array_size_works_for_example(tmpdir):
meta = source.MetaData(
chunk_size=6,
recurrence_size=3, # <- 2 would be correct
recurrence_distance=3,
consistency_sample_size=10,
)
example_source = source.SourceFile.read_from_path(
tdms_path="tests/assets/example_file.tdms",
meta=meta,
)
res = tdms_helpers.get_maximum_array_size(example_source.tdms_operator)
assert res == 19
def test_prechecks_recognize_wrong_parameters(tmpdir):
meta = source.MetaData(
chunk_size=6,
recurrence_size=3, # <- 2 would be correct
recurrence_distance=3,
consistency_sample_size=10,
)
output_filename = pathlib.Path(tmpdir) / "output.tdms"
with pytest.raises(Exception):
fix.export_correct_data(
tdms_path="tests/assets/example_file.tdms",
meta=meta,
export_path=output_filename,
)
def tests_fails_for_nonexistent_filepath():
meta = source.MetaData(
chunk_size=6,
recurrence_size=2,
recurrence_distance=3,
consistency_sample_size=10,
)
output_filename = pathlib.Path("NonexistentPath/tdms_file.tdms")
with pytest.raises(Exception):
fix.export_correct_data(
tdms_path="tests/assets/example_file.tdms",
meta=meta,
export_path=output_filename,
)
def test_fails_wrong_file(tmpdir):
meta = source.MetaData(
chunk_size=6,
recurrence_size=2,
recurrence_distance=3,
consistency_sample_size=10,
)
output_filename = pathlib.Path(tmpdir) / "output"
with pytest.raises(Exception):
fix.export_correct_data(
file_name="tests/assets/example_file.txt",
meta=meta,
output_file=output_filename,
)
