Validating Input¶

By default there is no validation performed for input properties so any default value will be accepted by the algorithm.

Property validation can be added using the validator keyword within the declareProperty method. The validation is performed by an object and due to the restrictions placed on us by C++ we must know the type and pick the appropriate class for the job.

For the basic python types (int, float, string) the following validators are defined:

• IntBoundedValidator - Restricts an integer to be bounded by either lower, upper or both limits
• IntMandatoryValidator - Requires a value for the int property
• IntListValidator - The value must be one of a given list of integers
• FloatBoundedValidator - Restricts a float to be bounded by by either lower, upper or both limits
• FloatMandatoryValidator - Requires a value for the float property
• StringMandatoryValidator - Requires a value for the string property
• StringListValidator - The value must be one of a given list of strings

To use a validator, create it with the appropriate code as discussed above and pass it as the validator argument of declareProperty e.g.

def PyInit(self):
# Force the value to be positive or zero
self.declareProperty("Parameter", -1.0, FloatBoundedValidator(lower=0))

# Require the user to provide a non-empty string as input
self.declareProperty("Prefix", "", StringMandatoryValidator())

# Require the property to have one of the listed values
self.declareProperty("ProcessOption","Full",
                     StringListValidator(["Full", "QuickEstimate"]))

Validation can also be done when executing the algorithm by raising an exception if the value is invalid.

It should be preferred to validate in PyInit if possible as:

1. The execution section can assume the values are valid.
2. The GUI can flag up errors sooner.