示例#1
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def test_value_check_numeric_ranges():
    """Test value checks with numerical range functions."""

    field_names = ('foo', 'bar', 'baz', 'quux')
    validator = CSVValidator(field_names)
    validator.add_value_check('foo', number_range_inclusive(2, 6, int))
    validator.add_value_check('bar', number_range_exclusive(2, 6, int))
    validator.add_value_check('baz', number_range_inclusive(2.0, 6.3, float))
    validator.add_value_check('quux', number_range_exclusive(2.0, 6.3, float))

    data = (
        ('foo', 'bar', 'baz', 'quux'),
        ('2', '3', '2.0', '2.1'),  # valid
        ('1', '3', '2.0', '2.1'),  # foo invalid
        ('2', '2', '2.0', '2.1'),  # bar invalid
        ('2', '3', '1.9', '2.1'),  # baz invalid
        ('2', '3', '2.0', '2.0')  # quux invalid
    )

    problems = validator.validate(data)
    assert len(problems) == 4, len(problems)
    for p in problems:
        assert p['code'] == VALUE_CHECK_FAILED

    assert problems[0]['row'] == 3 and problems[0]['field'] == 'foo'
    assert problems[1]['row'] == 4 and problems[1]['field'] == 'bar'
    assert problems[2]['row'] == 5 and problems[2]['field'] == 'baz'
    assert problems[3]['row'] == 6 and problems[3]['field'] == 'quux'
示例#2
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def test_value_check_numeric_ranges():
    """Test value checks with numerical range functions."""

    field_names = ('foo', 'bar', 'baz', 'quux')
    validator = CSVValidator(field_names)
    validator.add_value_check('foo', number_range_inclusive(2, 6, int))
    validator.add_value_check('bar', number_range_exclusive(2, 6, int))
    validator.add_value_check('baz', number_range_inclusive(2.0, 6.3, float))
    validator.add_value_check('quux', number_range_exclusive(2.0, 6.3, float))

    data = (
            ('foo', 'bar', 'baz', 'quux'),
            ('2', '3', '2.0', '2.1'), # valid
            ('1', '3', '2.0', '2.1'), # foo invalid
            ('2', '2', '2.0', '2.1'), # bar invalid
            ('2', '3', '1.9', '2.1'), # baz invalid
            ('2', '3', '2.0', '2.0') # quux invalid
            )

    problems = validator.validate(data)
    assert len(problems) == 4, len(problems)
    for p in problems:
        assert p['code'] == VALUE_CHECK_FAILED

    assert problems[0]['row'] == 3 and problems[0]['field'] == 'foo'
    assert problems[1]['row'] == 4 and problems[1]['field'] == 'bar'
    assert problems[2]['row'] == 5 and problems[2]['field'] == 'baz'
    assert problems[3]['row'] == 6 and problems[3]['field'] == 'quux'
示例#3
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def create_validator():
    """Create an example CSV validator for patient demographic data."""

    field_names = ('study_id', 'patient_id', 'gender', 'age_years',
                   'age_months', 'date_inclusion')
    validator = CSVValidator(field_names)

    # basic header and record length checks
    validator.add_header_check('EX1', 'bad header')
    validator.add_record_length_check('EX2', 'unexpected record length')

    # some simple value checks
    validator.add_value_check('study_id', int, 'EX3',
                              'study id must be an integer')
    validator.add_value_check('patient_id', int, 'EX4',
                              'patient id must be an integer')
    validator.add_value_check('gender', enumeration('M', 'F'), 'EX5',
                              'invalid gender')
    validator.add_value_check('age_years', number_range_inclusive(0, 120, int),
                              'EX6', 'invalid age in years')
    validator.add_value_check('date_inclusion', datetime_string('%Y-%m-%d'),
                              'EX7', 'invalid date')

    # a more complicated record check
    def check_age_variables(r):
        age_years = int(r['age_years'])
        age_months = int(r['age_months'])
        valid = (age_months >= age_years * 12 and age_months % age_years < 12)
        if not valid:
            raise RecordError('EX8', 'invalid age variables')

    validator.add_record_check(check_age_variables)

    return validator
示例#4
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def create_validator():
    """Create an example CSV validator for patient demographic data."""

    field_names = (
                   'study_id', 
                   'patient_id', 
                   'gender', 
                   'age_years', 
                   'age_months',
                   'date_inclusion'
                   )
    validator = CSVValidator(field_names)
    
    # basic header and record length checks
    validator.add_header_check('EX1', 'bad header')
    validator.add_record_length_check('EX2', 'unexpected record length')
    
    # some simple value checks
    validator.add_value_check('study_id', int, 
                              'EX3', 'study id must be an integer')
    validator.add_value_check('patient_id', int, 
                              'EX4', 'patient id must be an integer')
    validator.add_value_check('gender', enumeration('M', 'F'), 
                              'EX5', 'invalid gender')
    validator.add_value_check('age_years', number_range_inclusive(0, 120, int), 
                              'EX6', 'invalid age in years')
    validator.add_value_check('date_inclusion', datetime_string('%Y-%m-%d'),
                              'EX7', 'invalid date')
    
    # a more complicated record check
    def check_age_variables(r):
        age_years = int(r['age_years'])
        age_months = int(r['age_months'])
        valid = (age_months >= age_years * 12 and 
                 age_months % age_years < 12)
        if not valid:
            raise RecordError('EX8', 'invalid age variables')
    validator.add_record_check(check_age_variables)
    
    return validator