Below are all the currently supported constraints. If you need more you can create your own as well.
propertyName = {
// The field under validation must be yes, on, 1, or true. This is useful for validating "Terms of Service" acceptance.
accepted : any value
// The field under validation must be a date after the set targetDate
after : targetDate
// The field under validation must be a date after or equal the set targetDate
afterOrEqual : targetDate
// The field must be alpha ONLY
alpha : any value
// The field under validation is an array and all items must pass this validation as well
arrayItem : {
// All the constraints to validate the items with
}
// The field under validation must be a date before the set targetDate
before : targetDate
// The field under validation must be a date before or equal the set targetDate
beforeOrEqual : targetDate
// The field under validation is a struct and all nested validation rules must pass
constraints: {
// All the constraints for the nested struct
}
// The field under validation must be a date that is equal the set targetDate
dateEquals : targetDate
// discrete math modifiers
discrete : (gt,gte,lt,lte,eq,neq):value
// the field must or must not be an empty value
// needed because `required` counts empty strings as valid
// and `type` ignores empty strings as "not required"
empty : boolean [false]
// value in list
inList : list
// Verify the instance of the target
InstanceOf : "instance.path"
// An alias for arrayItem
items : {
// All the constraints to validate the items with
}
// max value
max : value
// Validation method to use in the target object must return boolean accept the incoming value and target object
method : methodName
// min value
min : value
// An alias for constraints
nestedConstraints: {
// All the constraints for the nested struct
}
// not same as but with no case
notSameAsNoCase : propertyName
// not same as another property
notSameAs : propertyName
// range is a range of values the property value should exist in
range : eg: 1..10 or 5..-5
// regex validation
regex : valid no case regex
// required field or not, includes null values
required : boolean [false]
// The field under validation must be present and not empty if the `anotherfield` field is equal to the passed `value`.
requiredIf : {
anotherfield:value, anotherfield:value
}
// The field under validation must be present and not empty unless the `anotherfield` field is equal to the passed
requiredUnless : {
anotherfield:value, anotherfield:value
}
// same as but with no case
sameAsNoCase : propertyName
// same as another property
sameAs : propertyName
// size or length of the value which can be a (struct,string,array,query)
size : numeric or range, eg: 10 or 6..8
// specific type constraint, one in the list.
type : (alpha,array,binary,boolean,component,creditcard,date,email,eurodate,float,GUID,integer,ipaddress,json,numeric,query,ssn,string,struct,telephone,url,usdate,UUID,xml,zipcode),
// UDF to use for validation, must return boolean accept the incoming value and target object, validate(value,target,metadata):boolean
udf = variables.UDF or this.UDF or a closure.
// Check if a column is unique in the database
unique = {
table : The table name,
column : The column to check, defaults to the property field in check
}
// Custom validator, must implement coldbox.system.validation.validators.IValidator
validator : path or wirebox id, example: 'mypath.MyValidator' or 'id:MyValidator'
}
accepted
The field must be yes, on, 1, or true. This is useful for validating "Terms of Service" acceptance. Note: This validator will ignore values that are null or empty strings.
terms = { accepted = true }
after
The field under validation must be a value after a given date. The dates will be passed into the dateCompare() function in order to be converted and tested. Note: This validator will ignore values that are null or empty strings.
The field under validation must be a value after or equal a given date. The dates will be passed into the dateCompare() function in order to be converted and tested. Note: This validator will ignore values that are null or empty strings.
The field must be alphabetical ONLY. Note: This validator will ignore values that are null or empty strings.
terms = { alpha = true }
arrayItem
This validator is used to validate an array's items. It will iterate through each of the array's items and validate each item against the validationData constraints you pass in. Note: This validator will ignore values that are null or empty strings.
luckyNumbers = {
required : true,
type : "array",
arrayItem : {
required : true,
type : "numeric"
}
}
You may also specify items as an alias to arrayItem.
luckyNumbers = {
required : true,
type : "array",
items : {
required : true,
type : "numeric"
}
}
Any validation errors found will be named using the parent field name and array index.
var validationResult = validate(
target = {
"luckyNumbers": [ 7, 11, "not a number", 21 ]
},
constraints = {
required : true,
type : "array",
items : {
required : true,
type : "numeric"
}
}
);
// validationResult.getAllErrorsAsJson()
{
"luckyNumbers[3]": ["The 'item' has an invalid type, expected type is numeric"]
}
You can validate nested structs by nesting a constraints validator.
The field under validation must be a value before a given date. The dates will be passed into the dateCompare() function in order to be converted and tested. Note: This validator will ignore values that are null or empty strings.
The field under validation must be a value before or equal a given date. The dates will be passed into the dateCompare() function in order to be converted and tested. Note: This validator will ignore values that are null or empty strings.
This validator is used to validate a nested struct. The value of this validator are the constraints for the nested struct. Note: This validator will ignore values that are null.
The field under validation must be a value that is the same as the given date. The dates will be passed into the dateCompare() function in order to be converted and tested. Note: This validator will ignore values that are null or empty strings.
The field must pass certain discrete math operations using the format: operator:valueNote: This validator will ignore values that are null or empty strings.
With these validation rules passing in startDate = "" would pass the validation! The empty validator helps us ensure that the value passed in is not empty (and, in this case, a date).
The field still isn't required, but if it is passed the value must be a non-empty value and it must be parseable as a date.
inList
The field must be in the included list. Note: This validator will ignore values that are null or empty strings.
myField = { inList = "red,green,blue" }
instanceOf
The value passed must be an instance of a particular type. Note: This validator will ignore values that are null or empty strings.
{
"user": {
"instanceOf": "UserModel"
}
}
items
max
The field must be less than or equal to the defined value. Note: This validator will ignore values that are null or empty strings.
myField = { max = 25 }
method
The methodName will be called on the target object and it will pass in validationData, targetValue, and metadata. It must return a boolean response: true = pass, false = fail.
Any data you place in the metadata structure will be set in the validation result object for later retrieval. Note: This validator will ignore values that are null or empty strings.
myField = { method = "methodName" }
function methodName( validationData, targetValue, metadata ){
metadata[ "customMessage" ] = "I am a custom message set via metadata.";
return false;
}
min
The field must be greater than or equal to the defined value. Note: This validator will ignore values that are null or empty strings.
myField = { min = 8 }
nestedConstraints
notSameAsNoCase
The field must NOT be the same as another field with no case sensitivity. Note: This validator will ignore values that are null or empty strings.
myField = { notSameAsNoCase = "otherField" }
notSameAs
The field must NOT be the same as another field with case sensitivity. Note: This validator will ignore values that are null or empty strings.
myField = { notSameAs = "otherField" }
range
The field must be within the range values and the validation data must follow the range pattern: min..max. Note: This validator will ignore values that are null or empty strings.
myField = { range = "1..5" }
myField = { range = "5..-5" }
regex
The field must pass the regular expression match with no case sensitivity. Note: This validator will ignore values that are null or empty strings.
The field under validation must be present and not empty if the anotherfield field is equal to the passed value. The validation data can be a struct or a string representing the field to check, or it can be a UDF/closure/lambda to use for validation. The UDF must return boolean, validate( value, target, metadata ):boolean
Any data you place in the metadata structure will be set in the validation result object for later retrieval.
// Struct based
myField = {
// myField is required if field2 = test and field3 = hello
requiredIf = {
field2 = "test",
field3 = "hello"
}
}
// String Based
myField = {
// myField is required if field3 exists and has a value.
requiredIf = "field3"
}
// UDF Based
myField = {
// myField is required if today is monday.
requiredIf = function( value, target, errorMetadata ) {
return dayOfWeekAsString( dayOfWeek( now() ) ) == "Monday";
}
}
requiredUnless
The field under validation must be present and not empty unless the anotherfield field is equal to the passed value. The validation data can be a struct or a string representing the field to check.
myField = {
// myField is required unless field2 = test and field3 = hello
requiredUnless = {
field2 = "test",
field3 = "hello"
}
}
// String Based
myField = {
// myField is required unless field3 exists and has a value.
requiredUnless = "field3"
}
sameAsNoCase
The field must be the same as another field with no case sensitivity. Note: This validator will ignore values that are null or empty strings.
myField = { sameAsNoCase = "otherField" }
sameAs
The field must be the same as another field with case sensitivity. Note: This validator will ignore values that are null or empty strings.
myField = { sameAs = "otherField" }
size
The field value size must be within the range values and the validation data must follow the range pattern: min..max. Value can be a (struct,string,array,query). Note: This validator will ignore values that are null or empty strings.
One of the most versatile validators. It can test if the value is of the following specific types:
alpha
array
binary
boolean
component
creditcard
date
email
eurodate
float
GUID
integer
ipaddress
json
numeric
query
ssn
string
struct
telephone
url
usdate
UUID
xml
zipcode
Note: This validator will ignore values that are null or empty strings.
myField = { type : "float" }
myField = { type : "json" }
myField = { type : "xml" }
udf
The field value, the target object, and an empty metadata structure will be passed to the declared closure/lambda to use for validation. The UDF must return boolean, validate( value, target, metadata ):boolean
Any data you place in the metadata structure will be set in the validation result object for later retrieval. Note: This validator will ignore values that are null or empty strings.
There is a for arrayItem that uses a specialized field name to skip nesting the constraints.
There is a for constraints that uses a specialized field name to skip nesting the constraints.
This is needed since validators allow empty strings when false while validators ignore empty values as valid. This means we can have a situation as follows:
See .
See .
The field value will be passed to the validator CFC to be used for validation. Please see
