Mapping beans properties

Selma match properties using setter and getter names. Selma can map only same field names. By default, properties not existing in both source and destination beans will break compilation.

Same propertie names

Duplicate Beans

You can use Selma to build duplicates of your beans or map from model to DTO when they shares same property names.

Model Bean public class Person { private String firstName ; private String lastName ; private Date birthDay ; private int age ; private Long [] indices ; private Collection tags ; // + Getters and Setters } Mapper interface @Mapper public interface PersonMapper { // Returns a duplicate of the source Person Person duplicatePerson ( Person source ); }

Mapping to DTO

Selma can reduce a model bean to a DTO containing a sublist of the properties.

DTO Bean public class PersonDTO { private String firstName ; private String lastName ; private Date birthDay ; // + Getters and Setters } Mapper interface @Mapper ( withIgnoreMissing = IgnoreMissing . DESTINATION ) public interface PersonMapper { // Returns a new instance of PersonDTO mapped from Person source PersonDto asPersonDTO ( Person source ); }

Here we used IgnoreMissing.DESTINATION to indicate we wish to ignore properties (age, indices, tags) from source bean missing in destination bean. But we could also choose to specify each ignored fields.

Mapper listing ignored fields @Mapper ( withIgnoreFields = { "age" , "Person.indices" , "fr.xebia.selma.Person.tags" }) public interface PersonMapper { // Returns a new instance of PersonDTO mapped from Person source PersonDto asPersonDTO ( Person source ); }

Here we used prefixes Person and fr.xebia.selma.Person to show that you can match ignored fields using simple class name or FQCN prefix.

Mapping from DTO

Selma can use a reduced DTO to build a model bean.

Mapper interface @Mapper ( withIgnoreMissing = IgnoreMissing . SOURCE ) public interface PersonMapper { // Returns a new instance of Person mapped from PersonDTO source Person asPerson ( PersonDTO source ); }

Here we used IgnoreMissing.SOURCE to indicate we wish to ignore properties (age, indices, tags) missing in source bean.

Mapping to and from DTO

A mapper interface can describe multiple mapping methods.

Mapper interface @Mapper public interface PersonMapper { // Returns a new instance of PersonDTO mapped from Person source @Maps ( withIgnoreMissing = IgnoreMissing . DESTINATION ) PersonDto asPersonDTO ( Person source ); // Returns a new instance of Person mapped from PersonDTO source @Maps ( withIgnoreMissing = IgnoreMissing . SOURCE ) Person asPerson ( PersonDTO source ); }

Here we used @Maps annotation to describe mapping per method. Please notice that @Mapper configuration is available for all mapping methods while @Maps is only applied to a single method. Both annotations provides the exact same parameters.

Disabling missing field checks

By default Selma checks every single missing properties but you can choose to disable these helpfull checks.

Mapper ignoring all missing properties @Mapper ( withIgnoreMissing = IgnoreMissing . ALL ) public interface PersonMapper { // Returns a new instance of PersonDTO mapped from Person source PersonDto asPersonDTO ( Person source ); // Returns a new instance of Person mapped from PersonDTO source Person asPerson ( PersonDTO source ); }

Here we used IgnoreMissing.ALL to disable missing properties checking. So we removed @Maps annotation, feel free to combine @Mapper and @Maps in the same mapper.

@Maps configuration inherits and override @Mapper configuration.

Mapping nested beans

Selma takes care of generating mapping for the complete bean graph. Each embedded bean will be mapped in it's own method of the generated code. You can customize the mapping

Person Bean public class Person { private String firstName ; private String lastName ; private Date birthDay ; private Address residency ; // + Getters and Setters } Address Bean public class Address { private String line1 ; private String line2 ; private String zipCode ; private String city ; private String country ; // + Getters and Setters } Mapper declaring nested bean @Mapper public interface PersonMapper { // Returns a new instance of PersonDTO mapped from Person source PersonDto asPersonDTO ( Person source ); // Returns a new instance of AddressDTO mapped from Address source @Maps ( withIgnoreFields = "country" ) AddressDTO asAddress ( Address source ); }

Here we declared the asAddress(Address source) method in the mapper interface to demonstrate we can do it. asPersonDTO(Person source) implementation will call asAddress(Address source) . Note that you do not need to declare this method for the mapping to work.

@Maps annotation can be used to configure the mapping of each nested bean in the graph.

Mapping cyclic beans

Selma can handle cyclic mapping. This behaviour is disabled by default because it has a small performance impact. You can enable it using the withCyclicMapping parameter available in @Mapper .

Person Bean public class Person { private String firstName ; private String lastName ; private Date birthDay ; private Address residency ; // + Getters and Setters } Address Bean public class Address { private String line1 ; private String line2 ; private String zipCode ; private String city ; private String country ; private Person person // Cyclic reference here ! // + Getters and Setters } Mapper supporting cyclic beans @Mapper ( withCyclicMappings = true ) public interface PersonMapper { // Returns a new instance of PersonDTO mapped from Person source PersonDto asPersonDTO ( Person source ); }

Here we declared the asPersonDTO(Person source) method in the mapper interface to map Person bean and adress beans. The person bean will be mapped only one time and propagated to the person field of the Address bean.

This feature uses a hashmap to know whether a bean has already been mapped.

Customize property names mapping

You can define custom property to property mapping using withCustomFields parameter available in @Mapper and @Maps .

Person Bean public class Person { private String firstName ; private String lastName ; private Date birthDay ; // + Getters and Setters } PersonDTO Bean public class PersonDTO { private String name ; private String lastName ; private Date birthDate ; // + Getters and Setters } Mapper with custom property names @Mapper ( withCustomFields = { @Field ({ "firstName" , "name" }), @Field ({ "Person.birthDay" , "birthDate" }) } ) public interface PersonMapper { // Returns a new instance of PersonDTO mapped from Person source PersonDto asPersonDTO ( Person source ); // Returns a new instance of Person mapped from PersonDTO source Person asPerson ( PersonDTO source ); }

This configuration will map firstName to name property and birthDay to birthDate property. The @Field annotation define a route that will be applied from PersonDTO to Person and reverse.

@Field supports prefixes to match fields names using simple class name or FQCN prefix. You can also define custom fields in @Maps annotation.

Flatten bean mapping

You can flatten properties from nested bean using withCustomFields parameter available in @Mapper and @Maps .

Person Bean public class Person { private String firstName ; private String lastName ; private Date birthDay ; // See Address bean (line1, line2, zipCode, city, country) private Address address ; // + Getters and Setters } PersonDTO Bean public class PersonDTO { private String firstName ; private String lastName ; private Date birthDay ; private String addressLine1 ; private String addressLine2 ; private String addressZipCode ; private String addressCity ; private String addressCountry ; // + Getters and Setters } Mapper flattening properties from nested bean @Mapper ( withCustomFields = { @Field ({ "address.line1" , "addressLine1" }), @Field ({ "address.line2" , "addressLine2" }), @Field ({ "address.zipCode" , "addressZipCode" }), @Field ({ "address.city" , "addressCity" }), @Field ({ "address.country" , "addressCountry" }) } ) public interface PersonMapper { // Returns a new instance of PersonDTO mapped from Person source PersonDto asPersonDTO ( Person source ); // Returns a new instance of Person mapped from PersonDTO source Person asPerson ( PersonDTO source ); }

This configuration will flatten properties from Address bean to address* properties in PersonDTO . It also works to unflatten the properties from PersonDTO to Person and Address .

@Field may flatten from any level of the graph. You are not limited to first nested bean but can point a property from any nesting level.

Reduce @Maps duplication with @InheritMaps

@Maps annotation is powerfull and can be used multiple times in the same mapper interface. The interface can comes to an end where you define the exact same @Maps for multiple method. To avoid this kind of code duplication @InheritMaps is here to help you. Instead of duplicating the @Maps you can simply use @InheritMaps on the corresponding methods.

Mapper with @InheritMaps @Mapper public interface ExtendMapper { @Maps ( withCustomFields = { @Field ({ "Proposal.passenger.age" , "ProposalDto.passengerAge" }), @Field ({ "passenger.card" , "passengerCard" }), @Field ({ "Proposal.passenger.date" , "ProposalDto.passengerDate" }) }) ProposalDto asProposalDto ( Proposal proposal ); @InheritMaps Proposal asProposal ( ProposalDto proposal ); @InheritMaps Proposal asProposal ( ProposalDto proposal , Proposal out ); } Mapper with named @InheritMaps @Mapper public interface ExtendNamedMapper { @Maps ( withCustomFields = { @Field ({ "Proposal.passenger.age" , "ProposalDto.passengerAge" }), @Field ({ "passenger.card" , "passengerCard" }), @Field ({ "Proposal.passenger.date" , "ProposalDto.passengerDate" }) }) ProposalDto asProposalDto ( Proposal proposal ); @Maps ( withIgnoreFields = { "passengerAge" , "passengerDate" , "passenger" , "passengerCard" }) ProposalDto asReducedProposalDto ( Proposal proposal ); @InheritMaps ( method = "asReducedProposalDto" ) Proposal asProposal ( ProposalDto proposal ); @InheritMaps ( method = "asReducedProposalDto" ) Proposal asProposal ( ProposalDto proposal , Proposal out ); }

As you can see, the @InheritMaps inherits its configuration from the @Maps . Selma does its best to identify the good @Maps decorated method to inherit from. By default Selma choose the method with the same in/out types pair.

Sometimes Selma finds multiple eligible methods to inherit from, in such situation you just need to provide the method name to choose in the @InheritMaps parameters.

Updating destination bean

Instead of creating a new instance of the destination bean, you can choose to map the source bean against a given instance of the destination bean. You only need to declare a second parameter in your mapping methods that will be used as destination instance.

Mapper updating a destination bean @Mapper public interface PersonMapper { // Returns the given destination PersonDto mapped from Person source PersonDto updatePersonDTOFromPerson ( Person source , PersonDto destination ); // Returns the given destination Person mapped from PersonDTO source Person updatePersonFromPersonDTO ( PersonDTO source , Person destination ); }

Mapping collections

Selma can map collections using a copy clone strategy. Selma will generate a new collection containing the values mapped from source collection. We support almost all kind of collections and the generated code takes care of preserving the order of elements.

By default Selma uses a setter to populate the newly created collection to the destination bean. When using a Jaxb generated bean you won't have a setter, so you'll need to use the getter to retrieve a fresh new instance of an empty collection to populate with mapped values. For this to work you'll need to use the withCollectionStrategy = ALLOW_GETTER of the @Mapper or @Maps annotation.

Collection bean source public class CollectionBeanSource { private List < String > strings ; public CollectionBeanSource ( List < String > strings ) { this . strings = strings ; } public List < String > getStrings () { if ( strings == null ){ strings = new ArrayList < String >(); } return strings ; } } Collection bean destination public class CollectionBeanDestination { private List < String > strings ; public CollectionBeanDestination () {} public CollectionBeanDestination ( List < String > strings ) { this . strings = strings ; } public List < String > getStrings () { if ( strings == null ){ strings = new ArrayList < String >(); } return strings ; } } Mapper using getter for collection @Mapper ( withCollectionStrategy = ALLOW_GETTER ) public interface CollectionMapper { CollectionBeanDestination asCollectionBeanDestination ( CollectionBeanSource source ); CollectionBeanDefensiveDestination asCollectionBeanDefensiveDestination ( CollectionBeanSource source ); }

The generated code will call getStrings() from destination bean to populate the collection. Be aware that default strategy does not allow to use getter for collection mapping.

Mapping enums

Selma can map enums using a same value strategy by default. Selma will generate a new method for every single enum to enum mapping required, using a switch block without default.

Person Bean public class Person { private String firstName ; private String lastName ; private Date birthDay ; private PersonKind kind ; public enum PersonKind { SIMPLE_CUSTOMER , PRODUCER , BUSINESS_CUSTOMER } // + Getters and Setters } PersonDTO Bean public class PersonDTO { private String firstName ; private String lastName ; private Date birthDay ; private PersonKindDto kind ; public enum PersonKindDto { SIMPLE_CUSTOMER , PRODUCER , BUSINESS_CUSTOMER } // + Getters and Setters } Mapper mapping same enum values @Mapper public interface PersonMapper { // Returns a new instance of PersonDTO mapped from Person source PersonDto asPersonDTO ( Person source ); } Generated mapping method /** * Mapping method overridden by Selma */ public final PersonKindDto asSalesChannelDto ( PersonKind in ) { fr . xebia . extras . selma . beans . PersonKindDto out = null ; if ( in != null ) { switch ( in ) { case SIMPLE_CUSTOMER : { out = fr . xebia . extras . selma . beans . PersonKindDto . SIMPLE_CUSTOMER ; break ; } case PRODUCER : { out = fr . xebia . extras . selma . beans . PersonKindDto . PRODUCER ; break ; } case BUSINESS_CUSTOMER : { out = fr . xebia . extras . selma . beans . PersonKindDto . BUSINESS_CUSTOMER ; break ; } } } return out ; }

Selma will raise compilation errors when both enums does not contain the same values.

Enums with default value

Selma can map enums using a same value strategy with a default value. The default value will be used for values not existing in both enums.

Person Bean public class PersonDto { private String firstName ; private String lastName ; private Date birthDay ; private PersonKindDto kind ; public enum PersonKindDto { CUSTOMER , PRODUCER } // + Getters and Setters } Default value @Mapper public interface PersonMapper { // Map SIMPLE_CUSTOMER and BUSINESS_CUSTOMER to CUSTOMER @Maps ( withEnums = @EnumMapper ( from = PersonKind . class , to = PersonKindDto . class , defaultValue = "CUSTOMER" ) ) PersonDto asPersonDTO ( Person source ); // Map SIMPLE_CUSTOMER and BUSINESS_CUSTOMER to CUSTOMER @EnumMapper ( defaultValue = "CUSTOMER" ) PersonKindDto asPersonKindDto ( PersonKind source ); }

Here we demonstrated 2 ways of declaring a default value for your enum mapping:

First one, declares a @Maps with enum, so we need to declare both from and to enum with a default value. Second one, declares a @EnumMapper directly on a method mapping two enums types, with a default value.

It is also possible to declare the enumMapper inside @Mapper .

With this configuration SIMPLE_CUSTOMER and BUSINESS_CUSTOMER will be mapped to CUSTOMER .

To have more control over the enum mapping, you will need to declare a custom mapper.

Mapping with multiple source beans

Sometimes, you need to aggregate multiple source beans in the same destination bean. Selma can take care of this, if you define the mapping method with multiple source beans.

This does not change anything for updates method, just add as the last parameter the bean to be updated.

Mapping method with multiple source beans /** * This mapper interface demonstrate the use of Bean Aggregation. */ @Mapper ( withIgnoreFields = "missingProperty" ) public interface AggregationMapper { AggregatedBean mapFromAggregate ( FirstBean first , SecondBean second ); @Maps ( withCustom = AggregatedInterceptor . class ) AggregatedBean mapFromAggregateWithInterceptor ( FirstBean first , SecondBean second ); AggregatedBean mapFromAggregateInUpdate ( FirstBean first , SecondBean second , AggregatedBean out ); }

The AggregationMapper generated class maps FirstBean and SecondBean properties to the AggregatedBean properties. You can notice the mapFromAggregateInUpdate method which will update AggregatedBean out and return the result.

As you can see in mapFromAggregateWithInterceptor method, interceptors ares also supported. For them to work, just define the intercepting method with all ordered source beans prior to the out bean parameters.

Selma for now does not checks for properties present in multiple source beans. This means that such properties can be mapped multiple times in the generated code.

Mapping with custom mapper

Sometimes, Selma will not do what you need. Let say, you want to convert from String to date or from Integer to Float. In Selma, we do not want magic conversion, so converting from boxed Integer to native int and reverse is supported but, we do not support auto-magically convert from int to float because there can be data loss. So you can define your own custom mapper.

A custom mapper is a class that contains one or more methods taking an input parameter (the source bean / value) and return the destination value after hand coded mapping. You only need to add the class to the withCustom attribute of the @Mapper or @Maps annotation.

Person Bean public class Person { private String name ; private Address address ; // + Getters and Setters } PersonDTO Bean public class PersonDTO { private String name ; private String address ; // + Getters and Setters } Custom mapper mapping address to string public class AddressCustomMapper { // Returns a string representation of the address public String addressAsString ( Address source ){ return source . toString (); } } Mapper declaring a custom mapper @Mapper ( withCustom = AddressCustomMapper . class ) public class PersonMapper { // Returns a PersonDTO instance mapped from source PersonDTO asPersonDTO ( Person source ); }

The PersonMapper generated class will use the AddressCustomMapper addressAsString method to map the Address to String .

Custom mapper for specific fields

For now we've seen that it's possible to use custom mappers to apply on specific type to type conversion. If you need to apply a specific type to type conversion just for one propertie its also possible.

Custom mapper updating destination @Mapper ( withIgnoreFields = { "fr.xebia.extras.selma.beans.PersonIn.male" , "fr.xebia.extras.selma.beans.PersonOut.biography" }, withCustomFields = { @Field ( value = "age" , withCustom = CustomFieldToFieldMapper . CustomAgeAndNamesMapper . class ) } ) public interface CustomFieldToFieldMapper { String FROM_CUSTOM_FIELD2FIELD_MAPPING = " from custom field2field mapping" ; int AGE_INCREMENT = 42 ; String STRING_TEMPLATE_FOR_STREET = " %s from %s with @Field(value = \"street\", withCustom = CustomStreetMapper.class)" ; String INTERCEPTED_BY_CUSTOM_INTERCEPTOR = "intercepted by CustomInterceptor" ; @Maps ( withCustomFields = { @Field ( value = "firstName" , withCustom = CustomAgeAndNamesMapper . class ), @Field ( value = "street" , withCustom = CustomStreetMapper . class ) }) PersonOut mapWithCustom ( PersonIn in ); @Maps ( withCustomFields = { @Field ( value = { "firstName" , "lastName" }, withCustom = CustomAgeAndNamesMapper . class ) }) PersonIn asPersonInInvertingNames ( PersonOut in ); /** * Test the use of an interceptor against a field */ @Maps ( withIgnoreFields = "Library.name" , withCustomFields = { @Field ( value = "books" , withCustom = CustomBookInterceptor . class ) }) LibraryDTO asBookDTO ( Library in ); /** * This mapper is called to map the firstname field */ class CustomAgeAndNamesMapper { public String mapFirstname ( String firstname ){ return firstname + FROM_CUSTOM_FIELD2FIELD_MAPPING ; } public int incrementAge ( int age ) { return age + AGE_INCREMENT ; } } /** * This mapper is called to map the Street field for * PersonOut mapWithCustom(PersonIn in); */ class CustomStreetMapper { public String mapStreet ( String street ){ return String . format ( STRING_TEMPLATE_FOR_STREET , street , CustomStreetMapper . class ); } } /** * This interceptor is called after the books to books mapping in * LibraryDTO asBookDTO(Library in); */ class CustomBookInterceptor { public void intercept ( List < Book > in , List < BookDTO > out ){ for ( BookDTO book : out ) book . setAuthor ( INTERCEPTED_BY_CUSTOM_INTERCEPTOR ); } } }

As you can see, the @Field annotation now provides a parameter withCustom to handle custom mappers to apply to specific fields. They can be applied on Field to Field or on single field name. This does work for both interceptors and custom mappers.

You can use custom mappers to update the destination bean as described in updating destination bean. For this kind of use the custom mapping method should declare a second parameter giving the destination bean.

Custom mapper updating destination public class AddressCustomMapper { // Update des CustomMapper public Address carFromDto ( String addressString , Address destination ) { String [] lines = addressString . split ( '

' ); if ( lines . length > 0 ){ dest . setFirstLine ( lines [ 0 ]); } if ( lines . length > 1 ){ dest . setSecondLine ( lines [ 1 ]); } return dest ; } }

All custom mapper class should define a public default constructor so the generated class can instantiate it. Just remember, for selma, method name is nothing, just ensure to define the good In/Out type pair.

Unused custom mapper will be reported as a compilation warning.

Mapping interceptor

Not convinced by custom mapper, you need to do special things on the source or target bean after the mapping occurs. Selma, allows you to define a hook in the custom mapper which will be executed after the mapping itself. You just need to define a method returning void and taking two parameters the source bean and the destination bean. See the example below:

public class AddressCustomMapper { public void interceptAddressToDto ( Address source , AddressDto destination ) { // Do some processing here the destination is already mapped. } }

interceptAddressToDto will be called by the generated mapping code at the end of the mapping process.

Every custom mapper instance can be injected in the generated class when you build it from Selma . This allows custom mappers to use some services of your application code.

Abstract mapper

The last way to declare custom mappers is to use an abstract class as the mapper de scription instead of an interface. Selma parse non abstract methods and load every custom mapper method it contains. This can simplify the mapping declaration and allows to call a generated mapping method from a custom mapper.

@Mapper public abstract class AbstractMapperWithCustom { public static final int NUMBER_INCREMENT = 10000 ; public abstract PersonOut asPersonOut ( PersonIn in ); public abstract CityOut asCityOut ( CityIn in ); /** * Custom mapper inside the Mapper class */ public AddressOut mapAddress ( AddressIn addressIn ){ AddressOut res = null ; if ( addressIn != null ){ res = new AddressOut (); res . setCity ( this . asCityOut ( addressIn . getCity ())); res . setExtras ( addressIn . getExtras () == null ? null : new ArrayList < String >( addressIn . getExtras ())); res . setNumber ( addressIn . getNumber () + NUMBER_INCREMENT ); res . setPrincipal ( addressIn . isPrincipal ()); res . setStreet ( addressIn . getStreet ()); } return res ; } }

The generated code will call mapAddress() method for each AddressIn it should map. To handle the mapping of CityIn to CityOut the custom mapping method calls asCityOut() implementation of the generated code.

If you need to add some dependencies to use in the custom mapping methods, you can simply add a setter and use it at the mapper build time.

Selma Mapper as custom mapper

Selma allows to declare a Mapper interface as the custom mapper of another one. Doing this way you can compose a complex mapping strategy made of several mappers calling each other. All mappers will be generated in their private scope.

Person Mapper @Mapper ( withCustom = AddressMapper . class ) public interface PersonMapper { PersonOut mapWithAddressMapper ( PersonIn in ); }

Address Mapper @Mapper public interface AddressMapper { AddressOut asAddressOut ( AddressIn in ); AddressOut asAddressOut ( AddressIn in , AddressOut out ); }

AddressMapper will be called by the generated mapping code to handle the mapping of AddressIn to AddressOut .

As every custom mapper, the mapper instance should be injected in the generated class when you build it from Selma .

Mapping immutable types

By default Selma tries to map every bean. This means that given the same source and destination propertie types, Selma will generate code to build a fresh new instance for the destination field.

If you want to directly use the source field in destination passing source reference to the destination field, you should tell Selma that this is an immutable type.

Person Bean public class Person { private String name ; private String phoneNumber ; private Date birthDate ; private Address address ; // + Getters and Setters } PersonDTO Bean public class PersonDTO { private String name ; private String phoneNumber ; private Address address ; // + Getters and Setters } Mapper passing by reference @Mapper ( withImmutables = Address . class , withImmutablesPackages = "org.project.immutables" ) public class PersonMapper { // Returns a PersonDTO instance mapped from source with same address @Maps ( withIgnoreMissing = IgnoreMissing . DESTINATION ) PersonDTO asPersonDTO ( Person source ); }

This mapper will pass by reference any mapping from Address to Address . You can specify as many immutables type as you want. It is also possible to declare immutables inside @Maps . The withImmutablesPackages , will make Selma consider any bean inside org.project.immutables as immutable class.

Using factory

Some beans can not be built with a default empty constructor. For some reason the application code use a factory to provide new instances of these beans. Default Selma behavior is to call a default constructor without parameters.

To solve this issue without using reflection at runtime, Selma supports sourced beans, the idea is to pass one or more parameters to the constructor call in the generated code.

Sourced Beans

Person Bean bound to a DataSource public class Person { private final DataSource ds ; private String name ; private String phoneNumber ; private Date birthDate ; // Constructor with DataSource public Person ( DataSource ds ){ this . ds = ds ; } // + Getters and Setters } PersonDTO Bean public class PersonDTO { private String name ; private String phoneNumbe ; private Date birthDate ; // + Getters and Setters } Mapper declaring a source @Mapper ( withSources = DataSource . class ) public class PersonMapper { // Returns a Person instance mapped from source populated with a DataSource Person asPerson ( PersonDTO source ); }

This mapper will pass the given DataSource instance to the Person constructor. To see how to inject the DataSource instance refer to Building the mapper.

Factory methods

You can also provide one or more Factory using the withFactory Mapper annotation parameter. The Factory instance can be injected using Selma builder see Building the mapper.

Person Bean bound to a DataSource public class Person implement SourcedBeans { private final DataSource ds ; private String name ; private String phoneNumber ; private Date birthDate ; // Constructor with DataSource public Person ( DataSource ds ){ this . ds = ds ; } // + Getters and Setters } PersonDTO Bean public class PersonDTO { private String name ; private String phoneNumbe ; private Date birthDate ; // + Getters and Setters } Mapper declaring a Factory @Mapper ( withFactories = MyFactory . class ) public class PersonMapper { // Returns a Person instance mapped from source populated with a DataSource Person asPerson ( PersonDTO source ); } MyFactory bean public class MyFactory { private final DataSource ds ; public MyFactory ( DataSource ds ){ this . ds = ds ; } public < T extends SourcedBeans > T newSourceBeansInstance ( Class < T > targetType ) { /* ... */ } public City newCity (){ return new City ( ds ); } }

This mapper will call the given MyFactory to build new Person by calling the generic newSourceBeansInstance method. You can also specify methods like newCity to statically provide new instances of the City bean. Selma will always first choose matching static typed factory methods. If none are found, Selma will choose the generic method that matches with the closest type boundaries.

Building the mapper

Now that you've define the mapping contract you need, you probably want to retrieve the generated mapper instance. All you need to know for this is the Selma class. It provides a builder API to build and configure your mapper instance.

Builder API PersonMapper mapper = Selma . builder ( PersonMapper . class ). withCustom ( customMappers ). withSource ( dataSources ). withFactories ( factories ). disableCache (). build ();

Here we build a PersonMapper , providing to it custom mappers and sources.

We start a builder for the PersonMapper mapper interface. We use withCustom(...) to provide our custom mappers. We use withSource(...) to provide sources to our sourced beans. We use withFactories(...) to provide Factories to our Mapper. We call disableCache() to bypass mapper instance cache and force Selma to build a new mapper instance .

By default Selma maintains a cache of the previously loaded mappers, so mappers instance are considered Singleton.

Spring IoC

If you are using Spring IoC framework, you can configure your mapper interface to be configured as a Spring service. Selma will use a @Service to annotate the generated mapper class and it will use @Autowired for all claimed custom mappers and factories. The only thing you have to do is configure Spring to scan for annotations in the Mapper package.

Spring Mapper @Mapper ( withCustom = CustomImmutableMapperClass . class , withIoC = IoC . SPRING ) public interface AddressMapper { AddressOut asAddressOut ( AddressIn in ); }

Here we declared a AddressMapper , which will be annotated using Spring annotations. You can inject the generated mapper inside your Java beans or services.

By default Selma does not specify a name for the @Service declared, but you can add since 0.14 withIoCServiceName = YourServiceName to specify a name for the Spring service.

CDI IoC

The withIoC parameter of the mapper has three options to handle CDI annotations. The CDI value generates a @Named bean. The CDI_SINGLETON value generates a @Named and @Singleton bean. The CDI_APPLICATION_SCOPED value generates a @ApplicationScoped bean.

Builder API @Mapper ( withIoC = IoC . CDI ) public interface CustomCdiMapperInMaps { public Book asBook ( BookDTO source ); public BookDTO asBookDto ( Book source ); } @Mapper ( withIoC = IoC . CDI_SINGLETON ) public interface CustomCdiSingletonMapperInMaps { public Book asBook ( BookDTO source ); public BookDTO asBookDto ( Book source ); } @Mapper ( withIgnoreFields = "extras" , withCustom = CustomImmutableMapperClass . class , withFactories = BeanFactoryClass . class , withIoC = IoC . CDI_APPLICATION_SCOPED , withFinalMappers = false ) public interface AddressMapperCDI { AddressOut asAddressOut ( AddressIn in ); }

Here we declared three different mappers, to demonstrate the use of the three possible CDI values.

Configuration

Selma can be used from Java 6 to 8.

Using Maven

Old releases of the maven compiler plugin tend to badly support annotation processor messages. We use successfully version 3.2.

<plugin> <groupId> org.apache.maven.plugins </groupId> <artifactId> maven-compiler-plugin </artifactId> <version> 3.2 </version> <configuration> <showWarnings> true </showWarnings> <optimize> true </optimize> <showDeprecation> true </showDeprecation> </configuration> </plugin>

You can also use the annotation processor maven plugin if you can not move to maven compiler 3.2.

<plugin> <groupId> org.bsc.maven </groupId> <artifactId> maven-processor-plugin </artifactId> <version> 2.2.4 </version> <configuration> <defaultOutputDirectory> ${project.build.directory}/generated-sources </defaultOutputDirectory> <processors> <processor> fr.xebia.extras.selma.codegen.MapperProcessor </processor> </processors> </configuration> <executions> <execution> <id> process </id> <phase> generate-sources </phase> <goals> <goal> process </goal> </goals> </execution> </executions> <dependencies> <dependency> <groupId> fr.xebia.extras </groupId> <artifactId> selma-processor </artifactId> <version> ${selma.version} </version> </dependency> </dependencies> </plugin>

You can find help about configuring eclipse here.

Snapshot builds

You can retrieve snapshots builds from 0.16-SNAPSHOT in the sonatype snapshot repository. For this to work, you should add Sonatype snaphot repository in your maven settings.xml or pom.xml