I have a JsonString, for e.g.
{"TestMessage":"This test is awesome"}
and I have a set of POJO's for e.g.
TestMessage, TestOther, TestSomethingElse
What I need is something which can detect the type of the Json String, so that i can manipulate data with the correct Pojo.
I can do something similar with XML data as follows
Unmarshaller u = MatchHelper.createMarshaller();
JAXBElement<AbstractMessageType> eventElement = (JAXBElement<AbstractMessageType>)
u.unmarshal(new StringReader(xmlMessage));
if (eventElement.getValue() instanceof TestMessage) {
TestMessage returnRecord = (TestMessage) eventElement.getValue();
return returnRecord;
}else if(eventElement.getValue() instanceof TestOther){
.....
.....
}
I tried the following, but it doesn't work:
JsonNode eventNode = null;
try {
eventNode = this.mapper.readTree(message);
}catch (JsonParseException e){
log.error("Json Parse Exception - {}",e);
}
if(eventNode!= null && eventNode.isPojo()){
POJONode x = (POJONode)eventNode;
if(x.getPojo() instanceof TestMessage){
log.info("This is a Test Message");
TestMessage testMessage = this.mapper.readValue(message, TestMessage.class);
}
}
Using Jackson one can make use of #JsonTypeInfo, which provides you the ability to specify a discriminator for distinct types.
Maybe this article might help you as well: JacksonPolymorphicDeserialization
Coming back to your example and assuming that you can control the message format, this could be your model:
#JsonTypeInfo(use = JsonTypeInfo.Id.MINIMAL_CLASS, include = As.PROPERTY, property = "type")
public abstract class AbstractMessage {
}
public class TestMessage extends AbstractMessage {
private String message;
...
}
public class TestOther extends AbstractMessage {
private int other;
...
}
public class TestSomethingElse extends AbstractMessage {
private boolean justSomethingElse;
...
}
Forgot to mention that your initial approach using JAXB would work in this case, but you could directly unmarshal to AbstractMessage instead of JAXBElement and then do your handling of concrete subtypes.
It's rather strange, but I want to call self method.
This is my abstract class
public abstract class AbstractMapper {
public AbstractMapper(Map<String, String> map) {
Field[] fields = this.getClass().getDeclaredFields();
for (Field field: fields) {
if (field.getAnnotation(Column.class) != null) {
String fName = field.getName();
String rsName = field.getAnnotation(Column.class).name();
StringBuilder sb = new StringBuilder("set")
.append(Character.toUpperCase(fName.charAt(0)))
.append(fName.substring(1));
String mName = sb.toString();
// this.invoke(mName, map.get(fName)); <-- What should I put this here?
}
}
}
public Result getCalculatedValues() {
return xxxx;
}
}
And this is my class
public class NewMachine extends AbstractMapper{
#column(name = machine)
private String machine;
#column(name = temperature)
private Double temperature;
// normal get/set methods
}
Now, my goal is that AbstractMapper constructor iterates through all fields with columns, and invoke all of its respective setters.
in this case, I can pass something like
Map<String, String> map = SomeClass.SomeMethod();
NewMachine m = new NewMachine(map);
Result r = m.getCalculatedValues();
Thank you for helping.
Try getClass().getMethod( mName, field.getType() ).invoke(this, map.get(fName) ) (and handle any possible exceptions ofc).
Additionally keep the JavaDoc on getDeclaredFields() in mind:
Returns an array of {#code Field} objects reflecting all the fields declared by the class or interface represented by this Class object. This includes public, protected, default (package) access, and private fields, but excludes inherited fields.
If you have a hierarchy you'd have to get the fields of the super classes as well.
I'm trying to learn Gson and I'm struggling with field exclusion. Here are my classes
public class Student {
private Long id;
private String firstName = "Philip";
private String middleName = "J.";
private String initials = "P.F";
private String lastName = "Fry";
private Country country;
private Country countryOfBirth;
}
public class Country {
private Long id;
private String name;
private Object other;
}
I can use the GsonBuilder and add an ExclusionStrategy for a field name like firstName or country but I can't seem to manage to exclude properties of certain fields like country.name.
Using the method public boolean shouldSkipField(FieldAttributes fa), FieldAttributes doesn't contain enough information to match the field with a filter like country.name.
P.S: I want to avoid annotations since I want to improve on this and use RegEx to filter fields out.
Edit: I'm trying to see if it's possible to emulate the behavior of Struts2 JSON plugin
using Gson
<interceptor-ref name="json">
<param name="enableSMD">true</param>
<param name="excludeProperties">
login.password,
studentList.*\.sin
</param>
</interceptor-ref>
Edit:
I reopened the question with the following addition:
I added a second field with the same type to futher clarify this problem. Basically I want to exclude country.name but not countrOfBirth.name. I also don't want to exclude Country as a type.
So the types are the same it's the actual place in the object graph that I want to pinpoint and exclude.
Any fields you don't want serialized in general you should use the "transient" modifier, and this also applies to json serializers (at least it does to a few that I have used, including gson).
If you don't want name to show up in the serialized json give it a transient keyword, eg:
private transient String name;
More details in the Gson documentation
Nishant provided a good solution, but there's an easier way. Simply mark the desired fields with the #Expose annotation, such as:
#Expose private Long id;
Leave out any fields that you do not want to serialize. Then just create your Gson object this way:
Gson gson = new GsonBuilder().excludeFieldsWithoutExposeAnnotation().create();
So, you want to exclude firstName and country.name. Here is what your ExclusionStrategy should look like
public class TestExclStrat implements ExclusionStrategy {
public boolean shouldSkipClass(Class<?> arg0) {
return false;
}
public boolean shouldSkipField(FieldAttributes f) {
return (f.getDeclaringClass() == Student.class && f.getName().equals("firstName"))||
(f.getDeclaringClass() == Country.class && f.getName().equals("name"));
}
}
If you see closely it returns true for Student.firstName and Country.name, which is what you want to exclude.
You need to apply this ExclusionStrategy like this,
Gson gson = new GsonBuilder()
.setExclusionStrategies(new TestExclStrat())
//.serializeNulls() <-- uncomment to serialize NULL fields as well
.create();
Student src = new Student();
String json = gson.toJson(src);
System.out.println(json);
This returns:
{ "middleName": "J.", "initials": "P.F", "lastName": "Fry", "country": { "id": 91}}
I assume the country object is initialized with id = 91L in student class.
You may get fancy. For example, you do not want to serialize any field that contains "name" string in its name. Do this:
public boolean shouldSkipField(FieldAttributes f) {
return f.getName().toLowerCase().contains("name");
}
This will return:
{ "initials": "P.F", "country": { "id": 91 }}
EDIT: Added more info as requested.
This ExclusionStrategy will do the thing, but you need to pass "Fully Qualified Field Name". See below:
public class TestExclStrat implements ExclusionStrategy {
private Class<?> c;
private String fieldName;
public TestExclStrat(String fqfn) throws SecurityException, NoSuchFieldException, ClassNotFoundException
{
this.c = Class.forName(fqfn.substring(0, fqfn.lastIndexOf(".")));
this.fieldName = fqfn.substring(fqfn.lastIndexOf(".")+1);
}
public boolean shouldSkipClass(Class<?> arg0) {
return false;
}
public boolean shouldSkipField(FieldAttributes f) {
return (f.getDeclaringClass() == c && f.getName().equals(fieldName));
}
}
Here is how we can use it generically.
Gson gson = new GsonBuilder()
.setExclusionStrategies(new TestExclStrat("in.naishe.test.Country.name"))
//.serializeNulls()
.create();
Student src = new Student();
String json = gson.toJson(src);
System.out.println(json);
It returns:
{ "firstName": "Philip" , "middleName": "J.", "initials": "P.F", "lastName": "Fry", "country": { "id": 91 }}
After reading all available answers I found out, that most flexible, in my case, was to use custom #Exclude annotation. So, I implemented simple strategy for this (I didn't want to mark all fields using #Expose nor I wanted to use transient which conflicted with in app Serializable serialization) :
Annotation:
#Retention(RetentionPolicy.RUNTIME)
#Target(ElementType.FIELD)
public #interface Exclude {
}
Strategy:
public class AnnotationExclusionStrategy implements ExclusionStrategy {
#Override
public boolean shouldSkipField(FieldAttributes f) {
return f.getAnnotation(Exclude.class) != null;
}
#Override
public boolean shouldSkipClass(Class<?> clazz) {
return false;
}
}
Usage:
new GsonBuilder().setExclusionStrategies(new AnnotationExclusionStrategy()).create();
I ran into this issue, in which I had a small number of fields I wanted to exclude only from serialization, so I developed a fairly simple solution that uses Gson's #Expose annotation with custom exclusion strategies.
The only built-in way to use #Expose is by setting GsonBuilder.excludeFieldsWithoutExposeAnnotation(), but as the name indicates, fields without an explicit #Expose are ignored. As I only had a few fields I wanted to exclude, I found the prospect of adding the annotation to every field very cumbersome.
I effectively wanted the inverse, in which everything was included unless I explicitly used #Expose to exclude it. I used the following exclusion strategies to accomplish this:
new GsonBuilder()
.addSerializationExclusionStrategy(new ExclusionStrategy() {
#Override
public boolean shouldSkipField(FieldAttributes fieldAttributes) {
final Expose expose = fieldAttributes.getAnnotation(Expose.class);
return expose != null && !expose.serialize();
}
#Override
public boolean shouldSkipClass(Class<?> aClass) {
return false;
}
})
.addDeserializationExclusionStrategy(new ExclusionStrategy() {
#Override
public boolean shouldSkipField(FieldAttributes fieldAttributes) {
final Expose expose = fieldAttributes.getAnnotation(Expose.class);
return expose != null && !expose.deserialize();
}
#Override
public boolean shouldSkipClass(Class<?> aClass) {
return false;
}
})
.create();
Now I can easily exclude a few fields with #Expose(serialize = false) or #Expose(deserialize = false) annotations (note that the default value for both #Expose attributes is true). You can of course use #Expose(serialize = false, deserialize = false), but that is more concisely accomplished by declaring the field transient instead (which does still take effect with these custom exclusion strategies).
You can explore the json tree with gson.
Try something like this :
gson.toJsonTree(student).getAsJsonObject()
.get("country").getAsJsonObject().remove("name");
You can add some properties also :
gson.toJsonTree(student).getAsJsonObject().addProperty("isGoodStudent", false);
Tested with gson 2.2.4.
I came up with a class factory to support this functionality. Pass in any combination of either fields or classes you want to exclude.
public class GsonFactory {
public static Gson build(final List<String> fieldExclusions, final List<Class<?>> classExclusions) {
GsonBuilder b = new GsonBuilder();
b.addSerializationExclusionStrategy(new ExclusionStrategy() {
#Override
public boolean shouldSkipField(FieldAttributes f) {
return fieldExclusions == null ? false : fieldExclusions.contains(f.getName());
}
#Override
public boolean shouldSkipClass(Class<?> clazz) {
return classExclusions == null ? false : classExclusions.contains(clazz);
}
});
return b.create();
}
}
To use, create two lists (each is optional), and create your GSON object:
static {
List<String> fieldExclusions = new ArrayList<String>();
fieldExclusions.add("id");
fieldExclusions.add("provider");
fieldExclusions.add("products");
List<Class<?>> classExclusions = new ArrayList<Class<?>>();
classExclusions.add(Product.class);
GSON = GsonFactory.build(null, classExclusions);
}
private static final Gson GSON;
public String getSomeJson(){
List<Provider> list = getEntitiesFromDatabase();
return GSON.toJson(list);
}
I solved this problem with custom annotations.
This is my "SkipSerialisation" Annotation class:
#Target (ElementType.FIELD)
public #interface SkipSerialisation {
}
and this is my GsonBuilder:
gsonBuilder.addSerializationExclusionStrategy(new ExclusionStrategy() {
#Override public boolean shouldSkipField (FieldAttributes f) {
return f.getAnnotation(SkipSerialisation.class) != null;
}
#Override public boolean shouldSkipClass (Class<?> clazz) {
return false;
}
});
Example :
public class User implements Serializable {
public String firstName;
public String lastName;
#SkipSerialisation
public String email;
}
Kotlin's #Transientannotation also does the trick apparently.
data class Json(
#field:SerializedName("serialized_field_1") val field1: String,
#field:SerializedName("serialized_field_2") val field2: String,
#Transient val field3: String
)
Output:
{"serialized_field_1":"VALUE1","serialized_field_2":"VALUE2"}
Or can say whats fields not will expose with:
Gson gson = gsonBuilder.excludeFieldsWithModifiers(Modifier.TRANSIENT).create();
on your class on attribute:
private **transient** boolean nameAttribute;
I used this strategy:
i excluded every field which is not marked with #SerializedName annotation, i.e.:
public class Dummy {
#SerializedName("VisibleValue")
final String visibleValue;
final String hiddenValue;
public Dummy(String visibleValue, String hiddenValue) {
this.visibleValue = visibleValue;
this.hiddenValue = hiddenValue;
}
}
public class SerializedNameOnlyStrategy implements ExclusionStrategy {
#Override
public boolean shouldSkipField(FieldAttributes f) {
return f.getAnnotation(SerializedName.class) == null;
}
#Override
public boolean shouldSkipClass(Class<?> clazz) {
return false;
}
}
Gson gson = new GsonBuilder()
.setExclusionStrategies(new SerializedNameOnlyStrategy())
.create();
Dummy dummy = new Dummy("I will see this","I will not see this");
String json = gson.toJson(dummy);
It returns
{"VisibleValue":"I will see this"}
Another approach (especially useful if you need to make a decision to exclude a field at runtime) is to register a TypeAdapter with your gson instance. Example below:
Gson gson = new GsonBuilder()
.registerTypeAdapter(BloodPressurePost.class, new BloodPressurePostSerializer())
In the case below, the server would expect one of two values but since they were both ints then gson would serialize them both. My goal was to omit any value that is zero (or less) from the json that is posted to the server.
public class BloodPressurePostSerializer implements JsonSerializer<BloodPressurePost> {
#Override
public JsonElement serialize(BloodPressurePost src, Type typeOfSrc, JsonSerializationContext context) {
final JsonObject jsonObject = new JsonObject();
if (src.systolic > 0) {
jsonObject.addProperty("systolic", src.systolic);
}
if (src.diastolic > 0) {
jsonObject.addProperty("diastolic", src.diastolic);
}
jsonObject.addProperty("units", src.units);
return jsonObject;
}
}
I'm working just by putting the #Expose annotation, here my version that I use
compile 'com.squareup.retrofit2:retrofit:2.0.2'
compile 'com.squareup.retrofit2:converter-gson:2.0.2'
In Model class:
#Expose
int number;
public class AdapterRestApi {
In the Adapter class:
public EndPointsApi connectRestApi() {
OkHttpClient client = new OkHttpClient.Builder()
.connectTimeout(90000, TimeUnit.SECONDS)
.readTimeout(90000,TimeUnit.SECONDS).build();
Retrofit retrofit = new Retrofit.Builder()
.baseUrl(ConstantRestApi.ROOT_URL)
.addConverterFactory(GsonConverterFactory.create())
.client(client)
.build();
return retrofit.create (EndPointsApi.class);
}
I have Kotlin version
#Retention(AnnotationRetention.RUNTIME)
#Target(AnnotationTarget.FIELD)
internal annotation class JsonSkip
class SkipFieldsStrategy : ExclusionStrategy {
override fun shouldSkipClass(clazz: Class<*>): Boolean {
return false
}
override fun shouldSkipField(f: FieldAttributes): Boolean {
return f.getAnnotation(JsonSkip::class.java) != null
}
}
and how You can add this to Retrofit GSONConverterFactory:
val gson = GsonBuilder()
.setExclusionStrategies(SkipFieldsStrategy())
//.serializeNulls()
//.setDateFormat(DateFormat.LONG)
//.setFieldNamingPolicy(FieldNamingPolicy.UPPER_CAMEL_CASE)
//.setPrettyPrinting()
//.registerTypeAdapter(Id.class, IdTypeAdapter())
.create()
return GsonConverterFactory.create(gson)
This what I always use:
The default behaviour implemented in Gson is that null object fields are ignored.
Means Gson object does not serialize fields with null values to JSON. If a field in a Java object is null, Gson excludes it.
You can use this function to convert some object to null or well set by your own
/**
* convert object to json
*/
public String toJson(Object obj) {
// Convert emtpy string and objects to null so we don't serialze them
setEmtpyStringsAndObjectsToNull(obj);
return gson.toJson(obj);
}
/**
* Sets all empty strings and objects (all fields null) including sets to null.
*
* #param obj any object
*/
public void setEmtpyStringsAndObjectsToNull(Object obj) {
for (Field field : obj.getClass().getDeclaredFields()) {
field.setAccessible(true);
try {
Object fieldObj = field.get(obj);
if (fieldObj != null) {
Class fieldType = field.getType();
if (fieldType.isAssignableFrom(String.class)) {
if(fieldObj.equals("")) {
field.set(obj, null);
}
} else if (fieldType.isAssignableFrom(Set.class)) {
for (Object item : (Set) fieldObj) {
setEmtpyStringsAndObjectsToNull(item);
}
boolean setFielToNull = true;
for (Object item : (Set) field.get(obj)) {
if(item != null) {
setFielToNull = false;
break;
}
}
if(setFielToNull) {
setFieldToNull(obj, field);
}
} else if (!isPrimitiveOrWrapper(fieldType)) {
setEmtpyStringsAndObjectsToNull(fieldObj);
boolean setFielToNull = true;
for (Field f : fieldObj.getClass().getDeclaredFields()) {
f.setAccessible(true);
if(f.get(fieldObj) != null) {
setFielToNull = false;
break;
}
}
if(setFielToNull) {
setFieldToNull(obj, field);
}
}
}
} catch (IllegalAccessException e) {
System.err.println("Error while setting empty string or object to null: " + e.getMessage());
}
}
}
private void setFieldToNull(Object obj, Field field) throws IllegalAccessException {
if(!Modifier.isFinal(field.getModifiers())) {
field.set(obj, null);
}
}
private boolean isPrimitiveOrWrapper(Class fieldType) {
return fieldType.isPrimitive()
|| fieldType.isAssignableFrom(Integer.class)
|| fieldType.isAssignableFrom(Boolean.class)
|| fieldType.isAssignableFrom(Byte.class)
|| fieldType.isAssignableFrom(Character.class)
|| fieldType.isAssignableFrom(Float.class)
|| fieldType.isAssignableFrom(Long.class)
|| fieldType.isAssignableFrom(Double.class)
|| fieldType.isAssignableFrom(Short.class);
}
in kotlin can use #Transient to ignore the field... eg.
data class MyClass{
#Transient var myVar: Boolean
//....
}
Use different DTO for cached object.
For example, you can create UserCached class and keep there only fields you need.
After that, create mapper to map objects back & forth. Mapstruct is good for that.
Such approach solves the problem, decouples your application, and makes changes in your primary DTO more safe to make.
I have a class like this:
public class DeserializedHeader
int typeToClassId;
Object obj
I know what type of object obj is based on the typeToClassId, which is unfortunately only known at runtime.
I want to parse obj out based on typeToClassId - what's the best approach here? Annotations seem like they're out, and something based on ObjectMapper seems right, but I'm having trouble figuring out what the best approach is likely to be.
Something along the lines of
Class clazz = lookUpClassBasedOnId(typeToClassId)
objectMapper.readValue(obj, clazz)
Obviously, this doesn't work since obj is already deserialized... but could I do this in 2 steps somehow, perhaps with convertValue?
This is really complex and painful problem. I do not know any sophisticated and elegant solution, but I can share with you my idea which I developed. I have created example program which help me to show you how you can solve your problem. At the beginning I have created two simple POJO classes:
class Product {
private String name;
// getters/setters/toString
}
and
class Entity {
private long id;
// getters/setters/toString
}
Example input JSON for those classes could look like this. For Product class:
{
"typeToClassId" : 33,
"obj" : {
"name" : "Computer"
}
}
and for Entity class:
{
"typeToClassId" : 45,
"obj" : {
"id" : 10
}
}
The main functionality which we want to use is "partial serializing/deserializing". To do this we will enable FAIL_ON_UNKNOWN_PROPERTIES feature on ObjectMapper. Now we have to create two classes which define typeToClassId and obj properties.
class HeaderType {
private int typeToClassId;
public int getTypeToClassId() {
return typeToClassId;
}
public void setTypeToClassId(int typeToClassId) {
this.typeToClassId = typeToClassId;
}
#Override
public String toString() {
return "HeaderType [typeToClassId=" + typeToClassId + "]";
}
}
class HeaderObject<T> {
private T obj;
public T getObj() {
return obj;
}
public void setObj(T obj) {
this.obj = obj;
}
#Override
public String toString() {
return "HeaderObject [obj=" + obj + "]";
}
}
And, finally source code which can parse JSON:
// Simple binding
Map<Integer, Class<?>> classResolverMap = new HashMap<Integer, Class<?>>();
classResolverMap.put(33, Product.class);
classResolverMap.put(45, Entity.class);
ObjectMapper mapper = new ObjectMapper();
mapper.disable(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES);
String json = "{...}";
// Parse type
HeaderType headerType = mapper.readValue(json, HeaderType.class);
// Retrieve class by integer value
Class<?> clazz = classResolverMap.get(headerType.getTypeToClassId());
// Create dynamic type
JavaType type = mapper.getTypeFactory().constructParametricType(HeaderObject.class, clazz);
// Parse object
HeaderObject<?> headerObject = (HeaderObject<?>) mapper.readValue(json, type);
// Get the object
Object result = headerObject.getObj();
System.out.println(result);
Helpful links:
How To Convert Java Map To / From JSON (Jackson).
java jackson parse object containing a generic type object.
I have the following Enum:
public enum MyState {
Open("opened"),
Close("closed"),
Indeterminate("unknown");
private String desc;
private MyState(String desc) {
setDesc(desc);
}
public String getDesc() {
return this.desc;
}
private void setDesc(String desc) {
this.desc = desc;
}
}
I am trying to write an XStream Converter that will know to map back a JSON element "mystate" to a MyState instance.
"someJson": {
"object1": {
"mystate": closed
}
}
This should produce, amongst other objects (someJson and object1) a MyState.Close instance. I've started the Converter, but haven't gotten very far:
public class MyStateEnumConverter implement Converter {
#Override
public boolean canConvert(Class clazz) {
return clazz.equals(MyState.class);
}
#Override
public void marshal(Object value, HierarchialStreamWriter writer, MarshallingContext context) {
??? - no clue here
}
#Override
public Object unmarshal(HierarchialStreamReader reader, UnmarshallingContext context) {
??? - no clue here
}
}
Then, to create the mapper and use it:
XStream mapper = new XStream(new JettisonMappedXmlDriver());
mapper.registerConverter(new MyStateEnumConverter);
SomeJson jsonObj = mapper.fromXML(jsonString);
// Should print "closed"
System.out.println(jsonObject.getObject1().getMyState().getDesc());
How can I implement marshal and unmarshal so thatI get the desired mapping? Thanks in advance!
You can accomplish this by doing 2 things:
Adding a lookup method as well as a toString() override to your enum (MyStateEnum); and
Extending XStream's AbstractSingleValueConverter instead of implementing Converter
MyStateEnum:
public enum MyStateEnum {
// Everything you had is fine
// But now, add:
public static MyStateEnum getMyStateByDesc(String desc) {
for(MyStateEnum myState : MyStateEnum.values())
if(myState.getDesc().equals(desc))
return myState;
return null;
}
#Override
public String toString() {
return getDesc();
}
}
MyStateEnumConverter:
public class MyStateEnumConverter extends AbstractSingleValueConverter {
#Override
public boolean canConvert(Class clazz) {
return clazz.equals(MyStateEnum.class);
}
#Override
public Object fromString(String parsedText) {
return MyStateEnum.getMyStateByDesc(parsedText);
}
}
By adding getMyStateByDesc(String) to your enum, you now have a way to look up all the various enumerated values from the outside, by providing a desc string. The MyStateEnumConverter (which extends AbstractSingleValueConverter) uses your toString() override under the hood to associate aMyStateEnum instance with a text string.
So when XStream is parsing the JSON, it sees a JSON object of, say, "opened", and this new converter knows to pass "opened" into the converter's fromString(String) method, which in turn uses getMyStateByDesc(String) to lookup the appropriate enum instance.
Don't forget to register your converter with your XStream instance as you already showed in your original question.
You can use the EnumToStringConverter
Documentation
Example
#XStreamConverter(EnumToStringConverter.class)
public enum MyStateEnum {
enter code here
...
Use xstream.autodetectAnnotations(true)
Why are you using xstream for json support? You have a couple of other libraries specialized in json and that do it well. Also closed without quotes is not valid json.
Try for example Genson, it will work out of the box.
The values in the json stream would be "Close", "Indeterminate", etc and when deserializing it will produce the correct enum.
class SomeObject {
private MyState state;
...
}
Genson genson = new Genson();
// json = {"state" : "Indeterminate"}
String json = genson.serialize(new SomeObject(MyState.Indeterminate));
// deserialize back
SomeObject someObject = genson.deserialize(json, SomeObject.class);
// will print unknown
System.out.println(someObject.getDesc());