Random Beans is a library that generates random Java beans. Let's say you have a class Person and you want to generate a random instance of it, here we go:
Person person = random(Person.class);The static method EnhancedRandom.random is able to generate random instances of a given type.
Let's see another example. If you want to generate a random stream of 10 persons, you can use the following snippet:
Stream<Person> persons = randomStreamOf(10, Person.class);This second static method of the EnhancedRandom API generates a stream of random instances of a given type.
The java.util.Random API provides 7 methods to generate random data: nextInt(), nextLong(), nextDouble(), nextFloat(), nextBytes(), nextBoolean() and nextGaussian().
What if you need to generate a random String? Or say a random instance of your domain object?
Random Beans provides the EnhancedRandom API that extends (enhances) java.util.Random with a method called nextObject(Class type).
This method is able to generate a random instance of any arbitrary Java bean:
EnhancedRandom enhancedRandom = EnhancedRandomBuilder.aNewEnhancedRandom();
Person person = enhancedRandom.nextObject(Person.class);The EnhancedRandomBuilder is the main entry point to configure EnhancedRandom instances. It allows you to set all
parameters to control how random data is generated:
EnhancedRandom random = EnhancedRandomBuilder.aNewEnhancedRandomBuilder()
.seed(123L)
.objectPoolSize(100)
.randomizationDepth(3)
.charset(forName("UTF-8"))
.timeRange(nine, five)
.dateRange(today, tomorrow)
.stringLengthRange(5, 50)
.collectionSizeRange(1, 10)
.scanClasspathForConcreteTypes(true)
.overrideDefaultInitialization(false)
.build();For more details about these parameters, please refer to the configuration parameters section.
In most cases, default options are enough and you can use a static import of the EnhancedRandom.random(Class object) as seen previously.
Random beans allows you to control how to generate random data through the Randomizer interface
and makes it easy to exclude some fields from the object graph using the fluent FieldDefinition API:
EnhancedRandom enhancedRandom = EnhancedRandomBuilder.aNewEnhancedRandomBuilder()
.randomize(String.class, (Randomizer<String>) () -> "foo")
.exclude(field().named("age").ofType(Integer.class).inClass(Person.class).get())
.build();
Person person = enhancedRandom.nextObject(Person.class);Populating a Java object with random data can look easy at first glance, unless your domain model involves many related classes.
In the previous example, let's suppose the Person type is defined as follows:
Without Random Beans, you would write the following code in order to create an instance of the Person class:
Street street = new Street(12, (byte) 1, "Oxford street");
Address address = new Address(street, "123456", "London", "United Kingdom");
Person person = new Person("Foo", "Bar", "foo.bar@gmail.com", Gender.MALE, address);And if these classes do not provide constructors with parameters (may be some legacy beans you don't have the control over), you would write:
Street street = new Street();
street.setNumber(12);
street.setType((byte) 1);
street.setName("Oxford street");
Address address = new Address();
address.setStreet(street);
address.setZipCode("123456");
address.setCity("London");
address.setCountry("United Kingdom");
Person person = new Person();
person.setFirstName("Foo");
person.setLastName("Bar");
person.setEmail("foo.bar@gmail.com");
person.setGender(Gender.MALE);
person.setAddress(address);With Random Beans, generating a random Person object is done with random(Person.class). The library will recursively populate
all the object graph. That's a big difference!
| Item | Link |
|---|---|
| Documentation | https://github.com/benas/random-beans/wiki |
| Agile Board | Backlog items @ waffle.io |
| Continuous integration |  |
| Code coverage |  |
| Dependencies |  |
| Current version |  |
| License |  |
You are welcome to contribute to the project with pull requests on GitHub.
If you believe you found a bug, please use the issue tracker.
If you have any question, suggestion, or feedback, do not hesitate to use the Gitter channel of the project.
- Alberto Lagna
- Adriano Machado
- Dovid Kopel
- Eric Taix
- Fred Eckertson
- Jose Manuel Prieto
- kermit-the-frog
- Nikola Milivojevic
- Oleksandr Shcherbyna
- Rebecca McQuary
- Rémi Alvergnat
- Rodrigue Alcazar
- Valters Vingolds
- Vincent Potucek
- Lucas Andersson
- euZebe
- Petromir Dzhunev
Thank you all for your contributions!