valid_value_objects 0.3.1+1

Dart package to create immutable validated value objects with the benefit of type safety and code readability.

Valid value objects

Dart package to create immutable validated value objects with the benefit of type safety and code readability.

Table of contents

• Overview
• Exceptions
• Object creation
• Customization
• Serialization

Overview

You might be familiar with Value Objects from DDD concepts. Value Objects provides

• immutability
• type safety
• code readability
• validation
  • Objects are only instantiated if input parameter(s) are valid.
  • Making invalid value objects unrepresentable.

The package provides the following value objects:

• EmailAddress
• IPAddress
• ISBN
• Name, FirstName, MiddleName, LastName
• Password
• PhoneNumber
• UniqueId, TimeId

Note: Create your own value object by extending ValueObject class

Exceptions

Some examples on how to create value objects.

Possible expections at object creation:

• RequiredValueException
• InvalidValueException
• TooShortValueException
• TooLongValueException

Note: All of the above exceptions are instance of ValueException.

Object creation

EmailAddress

EmailAddress instantiation:

try {
  EmailAddress e = EmailAddress('[e-mail]');
} on RequiredValueException {
  // happens if param is null or empty
} on InvalidValueException {
  // happens if param doesn't match regex
}

// OR handle all exception at once:

try {
   EmailAddress e = EmailAddress('[e-mail]');
} on ValueException catch (e) {  
  // catches all value exceptions
  print(e.invalidValue);
  print(e.code);
  print(e.message);
}

// OR don't handle exceptions at all if you're sure that the value is correct.

Customization

Password

You may want to configure the default password requirements.

// Requirements can be set one by one:

Password.minChar = ...;
Password.maxChar = ...;
Password.mustContainUpperChar = ...;
Password.mustContainNumeric = ...;
...

// OR you can set it using the following method:

Password.setRequirements(
  minChar: 10, // default: 8
  maxChar: 50, // default: 255
  mustContainLowerChar: false, // default: true
  mustContainNumeric: false, // default: true
  mustContainUpperChar: false, // default: true
  mustContainSpecialChar: false, // default: false
);

Custom validators

EmailAddress.customValidator = (str) => str.contains('@');   
PhoneNumber.customValidator = (str) { ... };
FirstName.customValidator = (str) => ...;

If you define a customValidator the class's factory constuctor(s) and validator function(s) will validate by your custom validator instead of the default one.

Serialization

Above validation and type safety every value object provides a toJson and fromJson method. By that fact, storing them in a NoSQL database is easy. The package is compatible with json_serialization package, but the package on it's own does not depend on it.

Costumize the key fields if required. Every value object has a static key field which are used by toJson and fromJson functions.

Default keys:

• EmailAddress: "email"
• Name: "name"
• FirstName: "firstName"
• MiddleName: "middleName"
• LastName: "lastName"
• IPAddress: "ip"
• ISBN: "isbn"
• Password: "password"
• PhoneNumber: "phone"
• UniqueId: "id"

Finding a key in a nested Map object? No problem.

const simpleMap = {'email' : '[e-mail]'};
const nestedMap = {
  'person' : {
    'contact' : {
      'phone' : '...',
      'email' : '[e-mail]',
    },
  },
};

EmailAddress.fromJson(simpleMap) == EmailAddress.fromJson(nestedMap) // true

Check the example folder for more clarification.

Please feel free to open an issue if you have a feature request or some useful thoughts about the package: https://gitlab.com/Patesz/valid-value-objects/-/issues