def test_check_sfdb_comparison_sfdb_new_longer(self):
entries1 = [['1', '2'], ['1', '2'], ['1', '3']]
entries2 = [['1', '2'], ['1', '2']]
sfdb1 = create_test_sfdbcontainer(entries=entries1)
sfdb2 = create_test_sfdbcontainer(entries=entries2)
with self.assertRaises(sc.ComparisonError):
sc.check_sfdb_comparison(sfdb1, sfdb2)
def test_check_sfdb_comparison_identical_sfdb(self):
sfdb1 = create_test_sfdbcontainer()
sfdb2 = create_test_sfdbcontainer()
diverging_lines = sc.check_sfdb_comparison(sfdb1, sfdb2)
expected_output = []
self.assertEqual(expected_output, diverging_lines)
def test_check_sfdb_comparison_sfdb_old_longer_insufficient_excluded_lines(
self):
entries1 = [['1', '2'], ['1', '2']]
entries2 = [['1', '2'], ['1', '2'], ['1', '3'], ['1', '4']]
sfdb1 = create_test_sfdbcontainer(entries=entries1)
sfdb2 = create_test_sfdbcontainer(entries=entries2)
excluded_lines2 = [2 + sc.INDEX_SHIFT]
with self.assertRaises(sc.ComparisonError):
sc.check_sfdb_comparison(sfdb1,
sfdb2,
excluded_lines_old=excluded_lines2)
def test_check_sfdb_comparison_multiple_column_difference_excluded(self):
columns = ['COLUMN1', 'COLUMN2', 'COLUMN3']
entries1 = [['1', '2'], ['1', '2'], ['1', '2']]
entries2 = [['1', '2'], ['1', '3'], ['1', '4']]
sfdb1 = create_test_sfdbcontainer(entries=entries1, columns=columns)
sfdb2 = create_test_sfdbcontainer(entries=entries2, columns=columns)
excluded_columns = ['COLUMN2', 'COLUMN3']
diverging_lines = sc.check_sfdb_comparison(
sfdb1, sfdb2, excluded_columns=excluded_columns)
expected_output = []
self.assertEqual(expected_output, diverging_lines)
def test_check_sfdb_comparison_sfdb_new_longer_sufficient_excluded_lines(
self):
entries1 = [['1', '2'], ['1', '2'], ['1', '3'], ['1', '4']]
entries2 = [['1', '2'], ['1', '2']]
sfdb1 = create_test_sfdbcontainer(entries=entries1)
sfdb2 = create_test_sfdbcontainer(entries=entries2)
excluded_lines1 = [2 + sc.INDEX_SHIFT, 3 + sc.INDEX_SHIFT]
diverging_lines = sc.check_sfdb_comparison(
sfdb1, sfdb2, excluded_lines_new=excluded_lines1)
expected_output = []
self.assertEqual(expected_output, diverging_lines)
def test_check_sfdb_comparison_identical_sfdb_1_line_difference(self):
entries1 = [['1', '2'], ['1', '2']]
entries2 = [['1', '2'], ['1', '3']]
sfdb1 = create_test_sfdbcontainer(entries=entries1)
sfdb2 = create_test_sfdbcontainer(entries=entries2)
diverging_entries = sc.check_sfdb_comparison(sfdb1, sfdb2)
expected_output = [(1, np.array(['1', '2']), 1, np.array(['1', '3']))]
self.assertEqual(expected_output[0][0], diverging_entries[0][0])
np.testing.assert_array_equal(expected_output[0][1],
diverging_entries[0][1])
self.assertEqual(expected_output[0][2], diverging_entries[0][2])
np.testing.assert_array_equal(expected_output[0][3],
diverging_entries[0][3])
def test_check_content_format_correct_content(self):
test_sfdb = create_test_sfdbcontainer()
faulty_lines = sc.check_content_format(test_sfdb)
expected_output = []
self.assertEqual(expected_output, faulty_lines)
def test_check_content_against_regex_2_value_mismatch(self):
test_entries = [['nopat1', 'nopat2'], ['val1', 'val2']]
test_sfdb = create_test_sfdbcontainer(entries=test_entries)
test_column_patterns = {
'COLUMN1': re.compile(r'val\d'),
'COLUMN2': re.compile(r'val\d')
}
matching_lines = sc.check_content_against_regex(
test_sfdb, test_column_patterns)
expected_entry_index1 = 0
expected_column_string1 = " 1-COLUMN1"
expected_entry1 = np.array(test_entries[0])
expected_value1 = 'nopat1'
exected_regex1 = r'val\d'
self.assertEqual(expected_entry_index1, matching_lines[0][0])
self.assertEqual(expected_column_string1, matching_lines[0][1])
np.testing.assert_array_equal(expected_entry1, matching_lines[0][2])
self.assertEqual(expected_value1, matching_lines[0][3])
self.assertEqual(exected_regex1, matching_lines[0][4])
expected_entry_index2 = 0
expected_column_string2 = " 2-COLUMN2"
expected_entry2 = np.array(test_entries[0])
expected_value2 = 'nopat2'
exected_regex2 = r'val\d'
self.assertEqual(expected_entry_index2, matching_lines[1][0])
self.assertEqual(expected_column_string2, matching_lines[1][1])
np.testing.assert_array_equal(expected_entry2, matching_lines[1][2])
self.assertEqual(expected_value2, matching_lines[1][3])
self.assertEqual(exected_regex2, matching_lines[1][4])
def test_check_sfdb_comparison_identical_sfdb_1_line_difference_excluded(
self):
entries1 = [['1', '2'], ['1', '2']]
entries2 = [['1', '2'], ['1', '3']]
sfdb1 = create_test_sfdbcontainer(entries=entries1)
sfdb2 = create_test_sfdbcontainer(entries=entries2)
excluded_lines1 = [1 + sc.INDEX_SHIFT]
excluded_lines2 = [1 + sc.INDEX_SHIFT]
diverging_lines = sc.check_sfdb_comparison(
sfdb1,
sfdb2,
excluded_lines_new=excluded_lines1,
excluded_lines_old=excluded_lines2)
expected_output = []
self.assertEqual(expected_output, diverging_lines)
def test_check_content_against_regex_all_entries_match(self):
test_sfdb = create_test_sfdbcontainer()
test_column_patterns = {
'COLUMN1': re.compile(r'val\d'),
'COLUMN2': re.compile(r'val\d')
}
matching_lines = sc.check_content_against_regex(
test_sfdb, test_column_patterns)
expected_output = []
self.assertEqual(matching_lines, expected_output)
def test_check_content_against_regex_1_value_mismatch(self):
test_entries = [['val1', 'val2'], ['val1', '2']]
test_sfdb = create_test_sfdbcontainer(entries=test_entries)
test_column_patterns = {
'COLUMN1': re.compile(r'val\d'),
'COLUMN2': re.compile(r'val\d')
}
matching_lines = sc.check_content_against_regex(
test_sfdb, test_column_patterns)
expected_entry_index = 1
expected_column_string = " 2-COLUMN2"
expected_entry = np.array(test_entries[1])
expected_value = '2'
exected_regex = r'val\d'
self.assertEqual(expected_entry_index, matching_lines[0][0])
self.assertEqual(expected_column_string, matching_lines[0][1])
np.testing.assert_array_equal(expected_entry, matching_lines[0][2])
self.assertEqual(expected_value, matching_lines[0][3])
self.assertEqual(exected_regex, matching_lines[0][4])
def test_check_datatype_conformity_without_datatype_conformity_string_for_int(
self):
test_entries = [['abcd', 'efgh'], ['ijkl', 'mnop']]
test_schema = SQLTableSchema('INT_4_CHARACTERS')
test_sfdb = create_test_sfdbcontainer(entries=test_entries,
schema=test_schema)
faulty_entries = sc.check_datatype_conformity(test_sfdb)
error_msg = 'Mismatch to SQL datatype-pattern \'^\\d{1,4}$\'!'
expected_output = [
(0, ' 1-COLUMN1', np.array(['abcd', 'efgh']), 'abcd', error_msg),
(1, ' 1-COLUMN1', np.array(['ijkl', 'mnop']), 'ijkl', error_msg),
(0, ' 2-COLUMN2', np.array(['abcd', 'efgh']), 'efgh', error_msg),
(1, ' 2-COLUMN2', np.array(['ijkl', 'mnop']), 'mnop', error_msg)
]
for expected_entry, entry in zip(expected_output, faulty_entries):
self.assertEqual(expected_entry[0], entry[0])
self.assertEqual(expected_entry[0], entry[0])
np.testing.assert_array_equal(expected_entry[2], entry[2])
self.assertEqual(expected_entry[3], entry[3])
self.assertEqual(expected_entry[4], entry[4])
