def test_validator_column_wise():
dir_path = os.path.dirname(os.path.abspath(__file__))
maven_raw_intensity_not_correct_raw_file = os.path.join(dir_path, "test_input_validation_data",
"test_maven_upload_acetic_intensity_incorrect.csv")
maven_df = pd.read_csv(maven_raw_intensity_not_correct_raw_file)
result_df = input_validation.validator_column_wise(maven_df,0,['sample_1'],
[input_validation.check_intensity_value])
assert result_df.iloc[0]['state'] == 'negative'
assert result_df.iloc[1]['state'] == 'invalid_intensity_value'
def report_intensity_values(maven_df):
sample_columns = get_sample_column(maven_df)
return input_validation.validator_column_wise(
maven_df, 0, sample_columns, [input_validation.check_intensity_value])
def report_formula_column_format(maven_df):
return input_validation.validator_column_wise(
maven_df, 0, [maven_constants.FORMULA],
[input_validation.check_formula_is_correct])
def report_label_column_format(maven_df):
return input_validation.validator_column_wise(
maven_df, 0, [maven_constants.LABEL],
[input_validation.check_label_column_format])