def test_actual_rule_config(): """verifies the actual exclusion rule config can be parsed with no exceptions and has only expected values""" with open(dqc_us_0015._DEFAULT_EXCLUSIONS_FILE, 'rt') as f: rule_line_count = len(f.readlines()) - 1 # remember the header blacklist_exclusion_rules = dqc_us_0015.get_rules_from_csv() # if any values are not BLE , they will not get returned and this count will be less than # of lines. total_rule_count = len(blacklist_exclusion_rules) assert_equal(rule_line_count, total_rule_count, msg="{} lines resulted in {} rules".format(rule_line_count, total_rule_count))
def setUpClass(cls): cls.csv_lines = [ 'LIST,ARTIFACT,NEGATION,RELATION,ITEM', 'BLE,Member,,Contains,Something', 'BLE,Member,,Contains,PartA,Member,Not,Contains,PartB' ] cls.csv_str = '\n'.join(cls.csv_lines) # Mock the context managed open statement to return the test CSV # mock open specifically in the target module open_name = '{0}.open'.format(dqc_us_0015.__name__) with mock.patch(open_name, create=True) as m: m.return_value = io.StringIO(cls.csv_str) cls.blacklist_exclusion_rules = dqc_us_0015.get_rules_from_csv() cls.rule_one = dqc_us_0015._parse_row(cls.csv_lines[0].split(',')[1:]) cls.rule_two = dqc_us_0015._parse_row(cls.csv_lines[1].split(',')[1:]) cls.rule_three = dqc_us_0015._parse_row(cls.csv_lines[2].split(',')[1:])