def test_lab_rows_obtained_from_files(self): lab_rows = get_labelled_rows(raw_data_file=self.csvfile(), spec_file=self.specfile(), cfg_file=None) self.assertEqual(lab_rows, self.INVESTMENT_PARSED) self.file_cleanup()
def test_lab_rows_obtained_from_files(): lab_rows = get_labelled_rows(raw_data_file=csvfile(), spec_file=specfile(), cfg_file=None) assert lab_rows == INVESTMENT_PARSED file_cleanup()
def test_label_csv2(raw_data_file, spec_file, cfg_file, data_as_list): assert data_as_list == get_labelled_rows(raw_data_file, spec_file, cfg_file)
def test_label_csv2(self): self.assertEqual( data_as_list(), get_labelled_rows(raw_data_file(), spec_file(), cfg_file()))
def to_database(raw_data_file, spec_file, cfg_file=None): lab_rows = get_labelled_rows(raw_data_file, spec_file, cfg_file) db_rows = stream_flat_data(lab_rows) stream_to_database(db_rows)
def test_label_csv2(self): self.assertEqual(data_as_list(), get_labelled_rows(raw_data_file(), spec_file(), cfg_file()))
def labelled_rows(raw_data_file, spec_file, cfg_file): return get_labelled_rows(raw_data_file, spec_file, cfg_file)
def to_database(raw_data_file, spec_file, cfg_file = None): lab_rows = get_labelled_rows(raw_data_file, spec_file, cfg_file) db_rows = stream_flat_data(lab_rows) stream_to_database(db_rows)
def test_lab_rows(): csv, spec, cfg = get_filenames(CURRENT_MONTH_DATA_FOLDER) lab_rows = get_labelled_rows(csv, spec, cfg) assert row_exists('PROD_AUTO_TRUCKS_AND_CHASSIS', lab_rows)
def test_lab_rows(self): csv, spec, cfg = get_filenames(DATA_FOLDER) lab_rows = get_labelled_rows(csv, spec, cfg) self.assertTrue( TestLabRows.row_exists('PROD_AUTO_TRUCKS_AND_CHASSIS', lab_rows))
def test_lab_rows(self): csv, spec, cfg = get_filenames(DATA_FOLDER) lab_rows = get_labelled_rows(csv, spec, cfg) self.assertTrue(TestLabRows.row_exists('PROD_AUTO_TRUCKS_AND_CHASSIS', lab_rows))
def test_lab_rows(): csv, spec, cfg = get_filenames(CURRENT_MONTH_DATA_FOLDER) lab_rows = get_labelled_rows(csv, spec, cfg) assert row_exists("PROD_AUTO_TRUCKS_AND_CHASSIS", lab_rows)