Work with contingent values
Contingent values are a data design feature that allow you to make values in one field dependent upon values in another field. In other words, contingent values are how you define a set of attribute values that are specifically valid in the context of other feature attribute values. For example, a power pole dataset might use contingent values to specify what values are appropriate for poles based on other attributes. The
voltage level for a pole determines what
material values are valid; each
material might have a set of appropriate
heights from which to choose. Contingent values let you define all valid combinations of values for two or more attribute fields within a dataset.
You can author contingent values using ArcGIS Pro and save them in a mobile map or scene package, standalone geodatabase, web map, web scene, or feature service.
Contingent values are defined in one or more field groups. A field group is a named collection of attribute fields in your dataset that have contingent values. Each field in a field group must have an associated domain. Contingent values are based on the field's domain and represent a subset of the values the domain defines. See Introduction to attribute domains in the ArcGIS Pro documentation for more information about domains.
For each field group, contingent values define all combinations of appropriate values for the participating fields. The value you provide for each field depends on the type of domain associated with it (coded value or range). You can also provide special values to indicate that any value in the domain is considered valid or that a null value is valid (for fields that accept null values). Note that the any value also includes null.
The following image shows a field group that defines a set of contingent values for power poles. The fields
Height use coded value domains for their values, while
Diameter uses a range domain. Poles that have a value of
Wood for the
Material field can have any value for
Height that's in the associated domain (or
null) without violating the contingent values.
Classes and helper methods are provided for reading contingent value definitions for a dataset and for determining contingent value violations for a specific feature, allowing your app to incorporate contingent values into editing workflows. You might use drop down lists, for example, to provide the appropriate list of values based on other attributes that have been specified. Your app can also validate against contingent values to find violations before saving edits for a feature.
Contingent values can be read from an
ArcGISFeatureTable. Here are some of the classes used to represent contingent values:
ContingentValuesDefinition—Contains all the field groups that define contingent values for the dataset. The contingent values definition is exposed as a property on
FieldGroup—Defines all possible contingent values for a set of fields. The contingent values definition contains a collection of field groups.
Contingency—Defines a set of contingent values for a field group.
ContingentValue—A base class that defines a possible value for a field participating in a field group. A contingent value can be one of the following:
In addition to these classes, the API provides the following helper methods on
ArcGISFeatureTable. In many cases, these helper methods are all you need to provide contingent value support when editing the table.
ArcGISFeatureTable.getContingentValues()—Returns contingent values for a provided feature and attribute field.
ArcGISFeatureTable.validateContingencyConstraints()—Validates a feature against contingent values defined for the dataset.
Contingent values do not enforce data integrity or attribute rules for the data. However, you can design your app to guide the user through an edit workflow where contingent values provide appropriate choices and validation checks before edits are saved. For example, you could enforce ordered steps in your editing workflow to ensure that the current set of values you display for the editor are based on the previous inputs.
Contingent values are derived from values in an attribute domain for the dataset. Since domains can either be a list of coded values or a range of acceptable numeric values, the same is true for contingent values. Each set of contingent values is defined from a subset of the domain. If your domain for pole diameter defines a range of 6 to 18 inches, for example, any contingent values must be within this range, for example 7 to 10 inches. Likewise, coded value domains define a set of acceptable values and the contingent values must contain a subset of those items.
To get the contingent values for a field, use the
ArcGISFeatureTable.getContingentValues() helper method and pass the current feature and the field name. The helper method looks at the current values defined for other attributes of the feature to return a set of the appropriate contingent values for the specified field.
If the contingent values are from a range domain, you can return the minimum and maximum values for the valid range.
ContingentAnyValue is defined for the field, you can provide all values from the field's domain as valid edit choices.
To see if a feature's attribute values conform to the defined contingent values, call the
ArcGISFeatureTable.validateContingencyConstraints() helper method and pass a feature. The method returns a collection of
ContingencyConstraintViolation that you can use to enforce edit restrictions or provide warnings to the user.
Each contingency constraint violation will indicate if it is a warning or an error, and which field group contained the violated contingent value. A violation is considered an error if the field group is marked as
restrictive. A restrictive field group means that edits to any of the participating fields should conform to previously defined contingent values. If a field group is not
restrictive, then a violation alert is considered a warning.