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:])
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:])
def test_parse_row():
test_row = ['ConceptName', 'Not', 'Contains', 'Reserves', 'ConceptName',
None, 'Contains', 'Recoveries', 'Period', None, 'Equals', 'Duration']
expected_rule = {
'artifact': 'ConceptName',
'item_check': 'Reserves',
'negation': 'Not',
'relation': 'Contains',
'additional_conditions': {
'artifact': 'ConceptName',
'item_check': 'Recoveries',
'negation': None,
'relation': 'Contains',
'additional_conditions': {
'artifact': 'Period',
'item_check': 'Duration',
'negation': None,
'relation': 'Equals',
'additional_conditions': None
}
}
}
rule = dqc_us_0015._parse_row(test_row)
assert_dict_equal(rule, expected_rule)
def test_parse_row():
test_row = ['ConceptName', 'Not', 'Contains', 'Reserves', 'ConceptName',
None, 'Contains', 'Recoveries', 'Period', None, 'Equals', 'Duration']
expected_rule = {
'artifact': 'ConceptName',
'item_check': 'Reserves',
'negation': 'Not',
'relation': 'Contains',
'additional_conditions': {
'artifact': 'ConceptName',
'item_check': 'Recoveries',
'negation': None,
'relation': 'Contains',
'additional_conditions': {
'artifact': 'Period',
'item_check': 'Duration',
'negation': None,
'relation': 'Equals',
'additional_conditions': None
}
}
}
rule = dqc_us_0015._parse_row(test_row)
assert_dict_equal(rule, expected_rule)
