def validate(datadict, first_lines, verbose):
rows = first_lines.split(",")
validator = Validator()
if verbose:
validator.enable_verbose()
validator.process(datadict, rows)
def validate(datadict, first_lines, verbose):
rows = first_lines.split(",")
validator = Validator()
if verbose:
validator.enable_verbose()
validator.process(datadict, rows)
def test_correct_choice():
validator = Validator()
validator.process(datadict, [])
case = "correct_choice"
assert case not in validator.warnings.keys()
def test_incorrect_field_type():
validator = Validator()
validator.process(datadict, [])
case = "incorrect_field_type"
code = "Skipping validation of type"
assert code in validator.warnings.get(case)[0]
def test_incorrect_max_lt_min():
validator = Validator()
validator.process(datadict, [])
case = "incorrect_max_lt_min"
code = "should not be less than min"
assert code in validator.errors.get(case)[0]
def test_missing_max_min():
validator = Validator()
validator.process(datadict, [])
case = "missing_max_min"
code = "No maximum or minimum value set."
assert code in validator.warnings.get(case)[0]
def test_missing_choices():
validator = Validator()
validator.process(datadict, [])
case = "missing_choices"
code = "There should be at least one choice."
assert code in validator.errors.get(case)[0]
def test_missing_field_label():
validator = Validator()
validator.process(datadict, [])
case = "missing_field_label"
code = "No label is present."
assert code in validator.warnings.get(case)[0]
def test_check_first_rows():
validator = Validator()
case = "FAKE_FIRST_ROW"
code = "field should be"
validator.process(datadict, [case])
assert code in validator.errors.get('missing_field_type')[0]
def test_check_headers():
validator = Validator()
corrupt_header = test_files.get('datadict_corrupt_header')
validator.process(corrupt_header, [])
code = "HEADERS"
assert code in validator.errors.keys()
def test_file_exists():
validator = Validator()
fake_file = '/tmp/foo.csv'
with pytest.raises(IOError):
validator.process(fake_file, [])