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.
What contingent values look like
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 Voltage, Material, and 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.
Access contingent values in your app
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 onArcGISFeatureTable.
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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:ContingentCodedValue—A value from a coded value domain.ContingentRangeValue—Defines a minimum and maximum range of values.ContingentAnyValue—Indicates that any value in the field's domain is considered valid (as well asnull).ContingentNullValue—Indicates that anullvalue is valid for the field.
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.
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ArcGISFeatureTable.getContingentValuesOrNull()—Returns contingent values for a provided feature and attribute field. -
ArcGISFeatureTable.validateContingencyConstraints()—Validates a feature against contingent values defined for the dataset.
Edit with contingent values
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.
Get contingent values
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.getContingentValuesOrNull()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.
The following code gets all contingent coded values for the specified field based on the other attribute values for the provided feature.
polesFeatureTable.contingentValuesDefinition.load().onFailure { error ->
return@launch logErr("Could not load contingentValuesDefinition: ${error.message}")
}
// Store a hash map of values from the contingent values definition.
val availableValues = mutableMapOf<String, Any>()
// Get all contingent values defined for a specified field name.
// The other attribute values of the feature determine which contingent values are returned.
// Assume that feature has these attribute values:
// Voltage="High" (3); Material="Steel" (4)"; Height="65" (4); and Diameter=12.
// If the field name is "Material", the resulting contingent values are:
// Steel, Wood.
var fieldName = "Material"
var contingentValuesResult = polesFeatureTable.getContingentValuesOrNull(feature, fieldName)
?: return@launch logErr("Did not retrieve contingent values.")
// Get a list of contingent values for each field group.
var contingentVals: Map<String, List<ContingentValue>> = contingentValuesResult.byFieldGroup
var fieldGroupName = "pole_contingent_values"
// Get the contingent values for a specified field group.
var fieldGroupContingentVals = contingentVals[fieldGroupName]
?: return@launch logErr("No contingent values for the field group name.")
// Loop through all contingent values.
fieldGroupContingentVals.forEach { cv ->
// Add coded values to the hash map (name and code).
if (cv is ContingentCodedValue) {
availableValues[cv.codedValue.name] = cv.codedValue.code
?: return@launch logErr("Coded value ${cv.codedValue.name} has a null value for code.")
}
}
logInfo("availableValues: $availableValues")
If the contingent values are from a range domain, you can return the minimum and maximum values for the valid range.
// (continued from above)
availableValues.clear()
fieldName = "Diameter"
contingentValuesResult = polesFeatureTable.getContingentValuesOrNull(feature, fieldName)
?: return@launch logErr("Did not retrieve contingent values.")
// Get a list of contingent values for each field group.
contingentVals = contingentValuesResult.byFieldGroup
fieldGroupName = "pole_contingent_values"
// Get the contingent values for a specified field group.
fieldGroupContingentVals = contingentVals[fieldGroupName]
?: return@launch logErr("No contingent values for the field group name.")
// A ContingentRangeValue has a minimum and maximum value.
// Loop through all contingent values.
fieldGroupContingentVals.forEachIndexed { index, cv ->
// Add coded values to the hash map (name and code).
if (cv is ContingentRangeValue) {
availableValues["min$index"] = cv.minValue
availableValues["max$index"] = cv.maxValue
}
}
logInfo("availableValues: $availableValues")
If a ContingentAnyValue is defined for the field, you can provide all values from the field's domain as valid edit choices.
// (continued from above)
// ContingentAnyValue means all domain values for the field are valid.
availableValues.clear()
fieldGroupContingentVals.forEach { cv ->
if (cv is ContingentAnyValue) {
// Get the domain for this field and add all values to the hash map.
val domain = polesFeatureTable.getField(fieldName)?.domain as CodedValueDomain
domain.codedValues.forEach { codedValue ->
availableValues[codedValue.name] = codedValue.code as Any
}
}
}
logInfo("availableValues: $availableValues")
Validate edits against contingent values
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.
// Get any contingency constraint violations for the new feature.
val contingentValueViolations = polesFeatureTable.validateContingencyConstraints(feature)
// If there are no violations, let the user save.
if (contingentValueViolations.isEmpty()) {
// Enable the Save feature button in your app:
// saveFeatureButton.isEnabled = true
return@launch logInfo("Contingent values validated")
}
// Loop through contingency violations and show messages for errors and warnings.
// Include the name of the field group that had the violation.
var msg = "Contingency value violation for field group(s): "
contingentValueViolations.forEach { contValViolation ->
msg = msg + "'" + contValViolation.fieldGroup.name + "' "
}
// Show the field groups that had violations.
logInfo(msg)
