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reactive validator
Reactive Validator #
Reactive Validator is a type safe validation manager package for Streams
and Value Notifiers.
It provides ability to define scoped validation rules for set of stream
or value listenable objects. Also it allows to manage error state
manually to collect validation response from the Server or any other
resource.
In addition to error management this package also provides set of
validators for some common validation cases. If need - any callable
validator instance can be used to validate target value.
Table Of Contents #
Getting Started
Validation controller
Invoke validation
StreamValidationController
Validation connectors
ValueListenableValidationConnector
StreamValidationConnector
Stream validation specific
Create validation connector
Validators
Validation against multiple validators
Custom validation
Cross field validation
External validator package usage
Getting Started #
Install and import package
import 'package:reactive_validator/reactive_validator.dart';
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Create controller instance
/// For controller with stream
StreamValidationController<String> controller = SubjectStreamValidationController<String>();
/// OR for controller with [ValueNotifier]
ListenableValidationController<String> controller = ValueListenableValidationController<String>();
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Define and attach validation connectors
/// Connectors can be attached or with controller constructor, or with
/// [attachConnectors] method
controller.attachConnectors([
StreamValidationConnector<String, String>(
field: 'some_field', /// field name that will be used within the error bucket
stream: someValueStream.distinct(), /// your [Stream] with field value
validator: const EmailValidator(),
),
ValueListenableValidationConnector<String, String>(
field: 'some_other_field', /// field name that will be used within the error bucket
valueListenable: someValueListenable, /// your [ValueListenable] with field value
validator: const NotEmptyStringValidator(),
)
]);
/// or with [attach] method
ValueListenableValidationConnector<String, String>(
field: 'some_third_field', /// field name that will be used within the error bucket
valueListenable: someValueListenable, /// your [ValueListenable] with field value
validator: const NotEmptyStringValidator(),
).attach(controller);
/// or with extension method
someValueListenable.connectValidator(
field: 'some_fifth_field', /// field name that will be used within the error bucket
valueListenable: someValueListenable, /// your [ValueListenable] with field value
validator: const NotEmptyStringValidator(),
).attach(controller);
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When you're ready to validate, just validate it
controller.validate();
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Or add error message manually
controller.addFieldError('field', 'error');
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Validation controller #
Controller is a manager of your validation state.
Package provides controller based on ValueNotifier object and
controller based on BehaviorSubject stream controller.
Both gives you ability to get error messages or an ErrorProvider in a
sync way.
Also both give you a sync access to an error Map and validation
status.
Controller also gives you ability to add or remove any validation error
massage from the error bucket manually. It can be particularly useful if
you validated your values, submit data to the server (if it's valid) and
receive validation error, which you want to show to the user.
Important Don't forget to dispose your controller when you're
done.
Invoke validation #
To invoke validation against all attached connectors, just call
validate method. It resolves Future as soon as validation is
finished.
StreamValidationController #
StreamValidationController, which is implemented by the
SubjectStreamValidationController aside of default access methods
gives you access error streams. Like isValidStream, errorsStream,
fieldErrorStream etc.
Also, this implementation provides you extended ErrorProvider that
contains reference to the stream with a field error.
Note Since SubjectStreamValidationController uses
BehaviorSubject from the RxDart, stream from StreamErrorProvider will emit a value
as soon as you subscribe to it.
Validation connectors #
Package provides 2 types of validation connectors. Both define
relationship between the value, that needs to be validated, and
validation rules.
Each of them start to track value changes as soon as it attached to the
controller.
Package allows to use both connector types within the same controller
instance, as long as they're using the same field type.
ValueListenableValidationConnector #
This validation connector is needed to attach validation rules to the
ValueListenable object.
ValueListenableValidationConnector<K,V>({
K field, /// required, field name
ValueListenable<V> valueListenable, /// required, value provider
Validator<V> validator, /// required, validation rules that needs to be applied
bool validateOnChange = false, /// if value should be validated as soon as it changes
bool clearOnChange = true, /// if validation error should be cleared as soon as value changes
bool validateOnAttach = false, /// if value should be validated as soon as connector attached to the controller
});
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To prevent the collision, connector can't invoke validation on change
and clear validation error on change. Which means that both
validateOnChange and clearOnChange can't be true in the same time
StreamValidationConnector #
This validation connector is needed to attach validation rules to the
Stream object.
StreamValidationConnector<K,V>({
K field, /// required, field name
Stream<V> stream, /// required, value provider
Validator<V> validator, /// required, validation rules that needs to be applied
bool validateOnChange = false, /// if value should be validated as soon as it changes
bool clearOnChange = true, /// if validation error should be cleared as soon as value changes
bool validateOnAttach = false, /// if value should be validated as soon as connector attached to the controller
});
StreamValidationConnector<K,V>.seeded({
V initialValue, /// required, initial value
K field, /// required, field name
Stream<V> stream, /// required, value provider
Validator<V> validator, /// required, validation rules that needs to be applied
bool validateOnChange = false, /// if value should be validated as soon as it changes
bool clearOnChange = true, /// if validation error should be cleared as soon as value changes
bool validateOnAttach = false, /// if value should be validated as soon as connector attached to the controller
});
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To prevent collision, connector can't invoke validation on change and
clear validation error on change. Which means that both
validateOnChange and clearOnChange can't be true in the same time.
Stream validation specific
Take into account that this connector will validate value only after at
least one event was emitted in the Stream. If you want to validate
value even if no event was emitted, oyu need to use
StreamValidationConnector.seeded constructor. Or use stream from the
RxDart's BehaviorSubject controller, so event could be fired as soon
as connector subscribes to it during the attach.
Create validation connector #
Validation connector can be created in 2 ways. First one with just
constructor
final valueConnector = ValueListenableValidationConnector(...);
/// Or
final streamConnector = StreamValidationConnector(...);
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And second one with extensions, that package provides
final valueConnector = valueListenable.connectValidator(...);
/// Or
final streamConnector = streamListenable.connectValidator(...);
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Validators #
Each connector requires validator to be provided.
By default Validator is a callable instance, that returns error message
if provided value is not valid.
All build-in validators has 2 type of constructors.
constructor with predefined error message with ability to override it
constructor with fully custom error message
Some default validators can be found
here .
Validation against multiple validators #
If more than one validator is required for your field, you can use
AndValidator or OrValidator.
Most commonly used is AndValidator, which ensures that value is
validated against all provided validators. It stops as soon as any child
validator returns error message.
Less commonly used is OrValidator. But it may be useful if you have
field that may have 2 valid states. For instance if you have not
required field, that can be empty string or null or, if provided,
contains not less than 6 symbols.
OrValidator([
IsNullValidator(),
EmptyStringValidator(),
MinCharactersValidator(6),
])
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Keep in mind that this validator will validate value against all child
validators, until any child validator says that value is valid. Which
means that validation error message (if the's any) will be returned from
the last not valid validator. So ensure that your primary validator is a
last one in the OrValidator group.
Custom validation #
If you need any custom validation or you want to use some external
package validators, you have 3 options:
Implement Validator interface
class SomeValidator<I> implements Validator<I> {
String call(I value) {
/// Your validation goes here.
/// Ensure that this method returns error message if [value] is invalid.
///
/// If it returns [null] validation result will be treated as successful
}
}
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Extend from FieldValidator
class SomeValidator extends FieldValidator<String> {
/// implement your constructor
const SomeValidator({
String fieldName,
String errorMessage,
}) : super(
fieldName: fieldName,
message: errorMessage ?? 'value should be a valid',
);
@override
bool isValid(value) {
/// your validation goes here
}
}
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Use CustomValidator
final validator = CustomValidator<String>(
fieldName: 'Field name',
message: (String value) {
/// return error message
///
/// Callback will be invoked only when [isValid] returns false
},
isValid: (String value) {
/// validate [value]
},
ignoreNullable: true, /// if nullable value should be treated as valid value
);
/// Or
final validator = CustomValidator<String>.withMessage(
message: (String value) {
/// return error message
///
/// Callback will be invoked only when [isValid] returns false
},
isValid: (String value) {
/// validate [value]
},
ignoreNullable: true, /// if nullable value should be treated as valid value
);
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With default CustomValidator constructor result error message will be
concatenation of the fieldName and the message from the message
callback.
CustomValidator.withMessage will use error message from the builder as
it is. So ensure that error message is returned, otherwise
ValidationConnector will think that validation was successful.
Cross field validation #
Most simple way to provide cross field validation is to use
CustomValidator to get value from another field when it's time to
validate target field. It may look something like this
final connector = StreamValidationConnector<String, String>(
field: 'password2',
stream: stateStream.map((state) => state.password2),
validator: CustomValidator<String>.withMessage(
message: (_) => 'Password doesn\'t match',
isValid: (String value) {
return state.password == value;
},
),
);
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Another possible solution could be is to validate value in the connected
stream with bool validator usage:
final connector = StreamValidationConnector<String, String>(
field: 'password2',
stream: stateStream.map((state) => state.password == state.password2),
validator: IsTrueValidator.withMessage('Password doesn\'t match'),
);
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External validator package usage #
If needed, this package can use any external validator packages. For
instance you can take a look at EmailValidator, which uses
email_validator package to
validate if value is a valid email value.
Or, if external package validators has right interface signature, you
can use them as they are.
Tests #
Before run tests, ensure to generate mocks for mockito
flutter pub run build_runner build
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Changelog #
Please see the
Changelog
page to know what's recently changed.
Bugs/Requests #
If you encounter any problems feel free to open an
issue.
If you feel the library is missing a feature, please raise a ticket on
Github and I'll look into it.
Pull requests with validators, bug fixes or improvements are also
welcome.
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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