Errors

DataError

Exception class that is used in the library. Exception hold errors in error attribute. For simple checkers it will be just a string. For nested structures it will be dict instance.

DataError instance has four important properties:

  • error - error message describing what happened
  • code - error code (this code you can use for replace an error message)
  • value - raw value
  • trafaret - checker instance which raised an error

DataError instance has two methods for represent full information about errors

  • as_dict - the simple representation of errors as dictionary
  • to_struct - more information than in as_dict. Here we can see code of error and other helpful information.
login_validator = t.Dict({'username': t.String(max_length=10), 'email': t.Email})

try:
    login_validator.check({'username': 'So loooong name', 'email': 'misha'})
except t.DataError as e:
    print(e.as_dict())
    print(e.to_struct())

# {
#    'username': 'String is longer than 10 characters',
#    'email': 'value is not a valid email address'
# }

# {
#    'code': 'some_elements_did_not_match',
#    'nested': {
#        'username': {
#            'code': 'long_string',
#            'message': 'String is longer than 10 characters'
#        },
#        'email': {
#            'code': 'is_not_valid_email',
#            'message': 'value is not a valid email address'
#        }
#    }
# }

Also, as_dict and to_struct have optional parameter value that set to False as default. If set it to True trafaret will show bad value in error message.