Parsing JSON to Enum Fields

Parsing JSON to Enum Fields - java

in my Android application, I am returned a simple JSON object with simple key value pairs, eg:
{"username" : "billySmith", "gender" : 1}
And an enum with the respective field names username and gender (String and int, respectively).
I am trying to use Gson to parse the JSON object and populate the enum fields with the json values. I am a little uncertain of how to use GSON with enums. I am familiar with the concept that an instance of an object should be set equal to gson.fromJson(jsonObect, instanceType.class);.
To add more detail, I am using Enums so that the values can be retrieved from anywhere in my android project.
if (response.getStatusLine().getStatusCode() == 200 && result != "")
{
GlobalEnum globalEnum = GlobalEnum.getInstance();
Gson gson = new GsonBuilder().create();
globalEnum = gson.fromJson(result, GlobalEnum.class);
}
where "result" is the string representation of an HTTP Response's entity
GlobalEnum snippet:
public enum GlobalEnum
{
INSTANCE;
private String username;
private int gender;
public static GlobalEnum getInstance()
{
return INSTANCE;
}
public int getGender()
{
return gender;
}
public void setGender(int gender)
{
this.gender = gender;
}
}
*Edit:
Reworded: I have an enum, and I have a jsonObject. Both the enum and JSON object have "username" and "gender". using Gson, I would like to parse the JSON object so that the Values from the JSONobject will be assigned to the respective fields in the Enum.

You may have misunderstood the meaning of an Enum in Java. They usually shouldn't be opened to modifications on runtime like this.
I guess the following logic would serve you better, saving you from this kind of trouble when parsing JSON into Enums.
First, a UserInformation Java Bean class, wrapping the username and gender fields:
public class UserInformation
{
private String username;
private int gender;
public UserInformation(String username, int gender)
{
this.username = username;
this.gender = gender;
}
public String getUsername()
{
return username;
}
public void setUsername(String username)
{
this.username = username;
}
public int getGender()
{
return gender;
}
public void setGender(int gender)
{
this.gender = gender;
}
}
Then your GlobalEnum class, renamed to GlobalValues and modified to work as a value container:
public abstract class GlobalValues
{
// You can also create get/set methods for encapsulation if you want
public static UserInformation userInformation;
}
And then the logic on which you are parsing your JSON String into your UserInformation object, and then storing it on your GlobalValues class.
String jsonStr = "{\"username\" : \"billySmith\", \"gender\" : 1}";
Gson gson = new Gson();
GlobalValues.userInformation = gson.fromJson(jsonStr, UserInformation.class);

As I said in the comment you need create a type adapter to be able to get your enum during json parsing. This is an example of what i have done for my purposes.
In your enum create TypeAdapterFactory gsonTypeAdaptor like so:
public static TypeAdapterFactory gsonTypeAdaptor = new TypeAdapterFactory() {
#Override
public <T> TypeAdapter<T> create(Gson gson, TypeToken<T> type) {
Class<T> rawType = (Class<T>) type.getRawType();
if (!(rawType.isEnum() && Predicates.assignableFrom(rawType).apply(<your enum>.class))) {
return null;
}
return new TypeAdapter<T>() {
public void write(JsonWriter out, T value) throws IOException {
if (value == null) {
out.nullValue();
} else {
out.value(((<your enum>)value).name);
}
}
public T read(JsonReader reader) throws IOException {
if (reader.peek() == JsonToken.NULL) {
reader.nextNull();
return null;
} else {
return (T) <get your enum by using reader.nextString()>;
}
}
};
}
};
one adapter is in place, register it with your gson builder like so:
builder.registerTypeAdapterFactory(<your enum>.gsonTypeAdaptor);
Let me know if this was useful.

Related

Json Deserialization in Java /w Jackson of mixed types, contained in one array

Consider the following json, getting from an public API:
anyObject : {
attributes: [
{
"name":"anyName",
"value":"anyValue"
},
{
"name":"anyName",
"value":
{
"key":"anyKey",
"label":"anyLabel"
}
}
]
}
As you can see, sometimes the value is a simple string and sometimes its an object. Is it somehow possible to deserialize those kind of json-results, to something like:
class AnyObject {
List<Attribute> attributes;
}
class Attribute {
private String key;
private String label;
}
How would I design my model to cover both cases. Is that possible ?

Despite being hard to manage as others have pointed out, you can do what you want. Add a custom deserializer to handle this situation. I rewrote your beans because I felt your Attribute class was a bit misleading. The AttributeEntry class in the object that is an entry in that "attributes" list. The ValueObject is the class that represents that "key"/"label" object. Those beans are below, but here's the custom deserializer. The idea is to check the type in the JSON, and instantiate the appropriate AttributeEntry based on its "value" type.
public class AttributeDeserializer extends JsonDeserializer<AttributeEntry> {
#Override
public AttributeEntry deserialize(JsonParser p, DeserializationContext ctxt) throws IOException, JsonProcessingException {
JsonNode root = p.readValueAsTree();
String name = root.get("name").asText();
if (root.get("value").isObject()) {
// use your object mapper here, this is just an example
ValueObject attribute = new ObjectMapper().readValue(root.get("value").asText(), ValueObject.class);
return new AttributeEntry(name, attribute);
} else if (root.get("value").isTextual()) {
String stringValue = root.get("value").asText();
return new AttributeEntry(name, stringValue);
} else {
return null; // or whatever
}
}
}
Because of this ambiguous type inconvenience, you will have to do some type checking throughout your code base.
You can then add this custom deserializer to your object mapper like so:
ObjectMapper objectMapper = new ObjectMapper();
SimpleModule simpleModule = new SimpleModule();
simpleModule.addDeserializer(AttributeEntry.class, new AttributeDeserializer());
objectMapper.registerModule(simpleModule);
Here's the AttributeEntry:
public class AttributeEntry {
private String name;
private Object value;
public AttributeEntry(String name, String value) {
this.name = name;
this.value = value;
}
public AttributeEntry(String name, ValueObject attributes) {
this.name = name;
this.value = attributes;
}
/* getters/setters */
}
Here's the ValueObject:
public class ValueObject {
private String key;
private String label;
/* getters/setters */
}

Read-only field in GSON serialization [duplicate]

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.

Setting Default value to a variable when deserializing using gson

I am trying to convert JSON to Java object. When a certain value of a pair is null, it should be set with some default value.
Here is my POJO:
public class Student {
String rollNo;
String name;
String contact;
String school;
public String getRollNo() {
return rollNo;
}
public void setRollNo(String rollNo) {
this.rollNo = rollNo;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public String getSchool() {
return school;
}
public void setSchool(String school) {
this.school = school;
}
}
Example JSON object:
{
"rollNo":"123", "name":"Tony", "school":null
}
So if school is null, I should make this into a default value, such as "school":"XXX". How can I configure this with Gson while deserializing the objects?

If the null is in the JSON, Gson is going to override any defaults you might set in the POJO. You could go to the trouble of creating a custom deserializer, but that might be overkill in this case.
I think the easiest (and, arguably best given your use case) thing to do is the equivalent of Lazy Loading. For example:
private static final String DEFAULT_SCHOOL = "ABC Elementary";
public String getSchool() {
if (school == null) school == DEFAULT_SCHOOL;
return school;
}
public void setSchool(String school) {
if (school == null) this.school = DEFAULT_SCHOOL;
else this.school = school;
}
Note: The big problem with this solution is that in order to change the Defaults, you have to change the code. If you want the default value to be customizable, you should go with the custom deserializer as linked above.

I think that the way to do this is to either write your no-args constructor to fill in default values, or use a custom instance creator. The deserializer should then replace the default values for all attributes in the JSON object being deserialized.

I was having the same issue, until I found this great solution.
For reference, you can create a post-processing class:
interface PostProcessable {
fun gsonPostProcess()
}
class PostProcessingEnabler : TypeAdapterFactory {
fun <T> create(gson: Gson, type: TypeToken<T>): TypeAdapter<T> {
val delegate = gson.getDelegateAdapter(this, type)
return object : TypeAdapter<T>() {
#Throws(IOException::class)
fun write(out: JsonWriter, value: T) {
delegate.write(out, value)
}
#Throws(IOException::class)
fun read(`in`: JsonReader): T {
val obj = delegate.read(`in`)
if (obj is PostProcessable) {
(obj as PostProcessable).gsonPostProcess()
}
return obj
}
}
}
}
Register it like this:
GsonBuilder().registerTypeAdapterFactory(PostProcessingEnabler())
Implement it on your model:
class MyClass : Serializable, PostProcessable {
// All your variable data
override fun gsonPostProcess() {
// All your post processing logic you like on your object
// set default value for example
}
}
And finally use it when converting json string:
var myObject = myGson.fromJson(myObjectJson, MyClass::class)
Or using retrofit2:
val api = Retrofit.Builder()
.baseUrl(BASE_URL)
.addConverterFactory(
GsonConverterFactory.create(
GsonBuilder().registerTypeAdapterFactory(
GsonPostProcessingEnabler()
).create()
)
)
.client(OkHttpClient.Builder().build())
.build()
.create(AccountApi::class.java)

You can simply make a universal function that checks for null
model.SchoolName= stringNullChecker(model.SchoolName);
public static String stringNullChecker(String val) {
if (null == val) val = "";
return val;
}

JSON parsing with GSON Structure

I've tried to do this in another project, and as per the tutorials I've seen, I know I am on the right track, but I cannot get this parsing correctly:
(Much Simplified) JSON Output:
{
"data":{
"info":{
"username": "something"
"email" : "something"
}
..
..
}
I am trying to get "username" and "email using the following classes:
class ProfileResponse {
static Data data;
public static Data getData() {
return data;
}
public static void setData(Data data) {
ProfileResponse.data = data;
}
}
Class Data {
#SerializedName("info")
static Info info;
public static Info getInfo() {
return info;
}
public static void setInfo(Info info) {
Data.info = info;
}
}
class Info {
#SerializedName("username")
static String username;
#SerializedName("email")
static String email;
public static String getUsername() {
return username;
}
public static String getEmail() {
return email;
}
}
and Deserializing the JSON String (could it be a problem that it's a String?) like so:
Gson gson = new Gson();
gson.fromJson(response, ProfileResponse.class);
if (Info.getUsername() == null
|| Info.getUsername().isEmpty()) {
System.out.println("NO USERNAME");
} else {
System.out.println("USERNAME: "
+ Info.getUsername());
}
This is printing "NO USERNAME" each time it's run.

static fields are by default excluded from serialization/deserialization.
Remove all the static keywords from your classes (fields and methods), call fromJson() correctly, and you will then get the result you're looking for.
Gson instantiates an instance of your class(es) from your JSON. After modifying your classes, you then will do:
ProfileResponse pr = gson.fromJson(response, ProfileResponse.class);

Jackson enum Serializing and DeSerializer

I'm using JAVA 1.6 and Jackson 1.9.9 I've got an enum
public enum Event {
FORGOT_PASSWORD("forgot password");
private final String value;
private Event(final String description) {
this.value = description;
}
#JsonValue
final String value() {
return this.value;
}
}
I've added a #JsonValue, this seems to do the job it serializes the object into:
{"event":"forgot password"}
but when I try to deserialize I get a
Caused by: org.codehaus.jackson.map.JsonMappingException: Can not construct instance of com.globalrelay.gas.appsjson.authportal.Event from String value 'forgot password': value not one of declared Enum instance names
What am I missing here?

The serializer / deserializer solution pointed out by #xbakesx is an excellent one if you wish to completely decouple your enum class from its JSON representation.
Alternatively, if you prefer a self-contained solution, an implementation based on #JsonCreator and #JsonValue annotations would be more convenient.
So leveraging on the example by #Stanley the following is a complete self-contained solution (Java 6, Jackson 1.9):
public enum DeviceScheduleFormat {
Weekday,
EvenOdd,
Interval;
private static Map<String, DeviceScheduleFormat> namesMap = new HashMap<String, DeviceScheduleFormat>(3);
static {
namesMap.put("weekday", Weekday);
namesMap.put("even-odd", EvenOdd);
namesMap.put("interval", Interval);
}
#JsonCreator
public static DeviceScheduleFormat forValue(String value) {
return namesMap.get(StringUtils.lowerCase(value));
}
#JsonValue
public String toValue() {
for (Entry<String, DeviceScheduleFormat> entry : namesMap.entrySet()) {
if (entry.getValue() == this)
return entry.getKey();
}
return null; // or fail
}
}

Note that as of this commit in June 2015 (Jackson 2.6.2 and above) you can now simply write:
public enum Event {
#JsonProperty("forgot password")
FORGOT_PASSWORD;
}
The behavior is documented here: https://fasterxml.github.io/jackson-annotations/javadoc/2.11/com/fasterxml/jackson/annotation/JsonProperty.html
Starting with Jackson 2.6 this annotation may also be used to change serialization of Enum like so:
public enum MyEnum {
#JsonProperty("theFirstValue") THE_FIRST_VALUE,
#JsonProperty("another_value") ANOTHER_VALUE;
}
as an alternative to using JsonValue annotation.

You should create a static factory method which takes single argument and annotate it with #JsonCreator (available since Jackson 1.2)
#JsonCreator
public static Event forValue(String value) { ... }
Read more about JsonCreator annotation here.

Actual Answer:
The default deserializer for enums uses .name() to deserialize, so it's not using the #JsonValue. So as #OldCurmudgeon pointed out, you'd need to pass in {"event": "FORGOT_PASSWORD"} to match the .name() value.
An other option (assuming you want the write and read json values to be the same)...
More Info:
There is (yet) another way to manage the serialization and deserialization process with Jackson. You can specify these annotations to use your own custom serializer and deserializer:
#JsonSerialize(using = MySerializer.class)
#JsonDeserialize(using = MyDeserializer.class)
public final class MyClass {
...
}
Then you have to write MySerializer and MyDeserializer which look like this:
MySerializer
public final class MySerializer extends JsonSerializer<MyClass>
{
#Override
public void serialize(final MyClass yourClassHere, final JsonGenerator gen, final SerializerProvider serializer) throws IOException, JsonProcessingException
{
// here you'd write data to the stream with gen.write...() methods
}
}
MyDeserializer
public final class MyDeserializer extends org.codehaus.jackson.map.JsonDeserializer<MyClass>
{
#Override
public MyClass deserialize(final JsonParser parser, final DeserializationContext context) throws IOException, JsonProcessingException
{
// then you'd do something like parser.getInt() or whatever to pull data off the parser
return null;
}
}
Last little bit, particularly for doing this to an enum JsonEnum that serializes with the method getYourValue(), your serializer and deserializer might look like this:
public void serialize(final JsonEnum enumValue, final JsonGenerator gen, final SerializerProvider serializer) throws IOException, JsonProcessingException
{
gen.writeString(enumValue.getYourValue());
}
public JsonEnum deserialize(final JsonParser parser, final DeserializationContext context) throws IOException, JsonProcessingException
{
final String jsonValue = parser.getText();
for (final JsonEnum enumValue : JsonEnum.values())
{
if (enumValue.getYourValue().equals(jsonValue))
{
return enumValue;
}
}
return null;
}

I've found a very nice and concise solution, especially useful when you cannot modify enum classes as it was in my case. Then you should provide a custom ObjectMapper with a certain feature enabled. Those features are available since Jackson 1.6. So you only need to write toString() method in your enum.
public class CustomObjectMapper extends ObjectMapper {
#PostConstruct
public void customConfiguration() {
// Uses Enum.toString() for serialization of an Enum
this.enable(WRITE_ENUMS_USING_TO_STRING);
// Uses Enum.toString() for deserialization of an Enum
this.enable(READ_ENUMS_USING_TO_STRING);
}
}
There are more enum-related features available, see here:
https://github.com/FasterXML/jackson-databind/wiki/Serialization-Features
https://github.com/FasterXML/jackson-databind/wiki/Deserialization-Features

Try this.
public enum Event {
FORGOT_PASSWORD("forgot password");
private final String value;
private Event(final String description) {
this.value = description;
}
private Event() {
this.value = this.name();
}
#JsonValue
final String value() {
return this.value;
}
}

I like the accepted answer. However, I would improve it a little (considering that there is now Java higher than version 6 available).
Example:
public enum Operation {
EQUAL("eq"),
NOT_EQUAL("ne"),
LESS_THAN("lt"),
GREATER_THAN("gt");
private final String value;
Operation(String value) {
this.value = value;
}
#JsonValue
public String getValue() {
return value;
}
#JsonCreator
public static Operation forValue(String value) {
return Arrays.stream(Operation.values())
.filter(op -> op.getValue().equals(value))
.findFirst()
.orElseThrow(); // depending on requirements: can be .orElse(null);
}
}

You can customize the deserialization for any attribute.
Declare your deserialize class using the annotationJsonDeserialize (import com.fasterxml.jackson.databind.annotation.JsonDeserialize) for the attribute that will be processed. If this is an Enum:
#JsonDeserialize(using = MyEnumDeserialize.class)
private MyEnum myEnum;
This way your class will be used to deserialize the attribute. This is a full example:
public class MyEnumDeserialize extends JsonDeserializer<MyEnum> {
#Override
public MyEnum deserialize(JsonParser jsonParser, DeserializationContext deserializationContext) throws IOException {
JsonNode node = jsonParser.getCodec().readTree(jsonParser);
MyEnum type = null;
try{
if(node.get("attr") != null){
type = MyEnum.get(Long.parseLong(node.get("attr").asText()));
if (type != null) {
return type;
}
}
}catch(Exception e){
type = null;
}
return type;
}
}

Here is another example that uses string values instead of a map.
public enum Operator {
EQUAL(new String[]{"=","==","==="}),
NOT_EQUAL(new String[]{"!=","<>"}),
LESS_THAN(new String[]{"<"}),
LESS_THAN_EQUAL(new String[]{"<="}),
GREATER_THAN(new String[]{">"}),
GREATER_THAN_EQUAL(new String[]{">="}),
EXISTS(new String[]{"not null", "exists"}),
NOT_EXISTS(new String[]{"is null", "not exists"}),
MATCH(new String[]{"match"});
private String[] value;
Operator(String[] value) {
this.value = value;
}
#JsonValue
public String toStringOperator(){
return value[0];
}
#JsonCreator
public static Operator fromStringOperator(String stringOperator) {
if(stringOperator != null) {
for(Operator operator : Operator.values()) {
for(String operatorString : operator.value) {
if (stringOperator.equalsIgnoreCase(operatorString)) {
return operator;
}
}
}
}
return null;
}
}

There are various approaches that you can take to accomplish deserialization of a JSON object to an enum. My favorite style is to make an inner class:
import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonFormat;
import com.fasterxml.jackson.annotation.JsonProperty;
import org.hibernate.validator.constraints.NotEmpty;
import java.util.Arrays;
import java.util.Map;
import java.util.function.Function;
import java.util.stream.Collectors;
import static com.fasterxml.jackson.annotation.JsonFormat.Shape.OBJECT;
#JsonFormat(shape = OBJECT)
public enum FinancialAccountSubAccountType {
MAIN("Main"),
MAIN_DISCOUNT("Main Discount");
private final static Map<String, FinancialAccountSubAccountType> ENUM_NAME_MAP;
static {
ENUM_NAME_MAP = Arrays.stream(FinancialAccountSubAccountType.values())
.collect(Collectors.toMap(
Enum::name,
Function.identity()));
}
private final String displayName;
FinancialAccountSubAccountType(String displayName) {
this.displayName = displayName;
}
#JsonCreator
public static FinancialAccountSubAccountType fromJson(Request request) {
return ENUM_NAME_MAP.get(request.getCode());
}
#JsonProperty("name")
public String getDisplayName() {
return displayName;
}
private static class Request {
#NotEmpty(message = "Financial account sub-account type code is required")
private final String code;
private final String displayName;
#JsonCreator
private Request(#JsonProperty("code") String code,
#JsonProperty("name") String displayName) {
this.code = code;
this.displayName = displayName;
}
public String getCode() {
return code;
}
#JsonProperty("name")
public String getDisplayName() {
return displayName;
}
}
}

In the context of an enum, using #JsonValue now (since 2.0) works for serialization and deserialization.
According to the jackson-annotations javadoc for #JsonValue:
NOTE: when use for Java enums, one additional feature is that value returned by annotated method is also considered to be the value to deserialize from, not just JSON String to serialize as. This is possible since set of Enum values is constant and it is possible to define mapping, but can not be done in general for POJO types; as such, this is not used for POJO deserialization.
So having the Event enum annotated just as above works (for both serialization and deserialization) with jackson 2.0+.

Besides using #JsonSerialize #JsonDeserialize, you can also use SerializationFeature and DeserializationFeature (jackson binding) in the object mapper.
Such as DeserializationFeature.READ_UNKNOWN_ENUM_VALUES_USING_DEFAULT_VALUE, which give default enum type if the one provided is not defined in the enum class.

In my case, this is what resolved:
import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonFormat;
import com.fasterxml.jackson.annotation.JsonProperty;
#JsonFormat(shape = JsonFormat.Shape.OBJECT)
public enum PeriodEnum {
DAILY(1),
WEEKLY(2),
;
private final int id;
PeriodEnum(int id) {
this.id = id;
}
public int getId() {
return id;
}
public String getName() {
return this.name();
}
#JsonCreator
public static PeriodEnum fromJson(#JsonProperty("name") String name) {
return valueOf(name);
}
}
Serializes and deserializes the following json:
{
"id": 2,
"name": "WEEKLY"
}
I hope it helps!

#JsonFormat(shape = JsonFormat.Shape.OBJECT)
public enum LoginOptionType {
PHONE(1, "Phone"), MAIL(2, "mail"), PERSONAL_EMAIL(3, "Personal email");
private static List<LoginOptionType> all;
static {
all = new ArrayList<LoginOptionType>() {
{
add(LoginOptionType.PHONE);
add(LoginOptionType.MAIL);
add(LoginOptionType.PERSONAL_EMAIL);
}
};
}
private final Integer viewValue;
private final String name;
LoginOptionType(Integer viewValue, String name) {
this.viewValue = viewValue;
this.name = name;
}
public Integer getViewValue() {
return viewValue;
}
public String getName() {
return name;
}
public static List<LoginOptionType> getAll() {
return all;
}
}
Response
[
{
"viewValue": 1,
"name": "Phone"
},
{
"viewValue": 2,
"name": "mail"
},
{
"viewValue": 3,
"name": "Personal email"
}
]

Here, 'value' acts as a deserialiser and 'namespace' acts as a serialiser. Hence, you can pass in value "Student Absent" to API while saving, and in DB it will be saved as "STUDENT_ABSENT". On the other hand, while retrieving data in your class, your API will return "Student Absent"
import com.fasterxml.jackson.annotation.JsonProperty;
public enum AttendanceEnums {
STUDENT_PRESENT,
#JsonProperty(value = "Student Absent", namespace = "Student Absent")
STUDENT_ABSENT;
}

I had been looking for a solution to enum serialization and I finally made a solution.
https://github.com/sirgilligan/EnumerationSerialization
https://digerati-illuminatus.blogspot.com/2022/10/java-enum-generic-serializer-and.html
It uses a new annotation and two new classes, EnumerationSerializer and EnumerationDeserializer. You can subclass the EnumerationDeserializer and make a class that sets the enum Class (typical approach) or you can annotate the enum and you don't have to have a subclass of EnumerationDeserializer.
#JsonSerialize(using = EnumerationSerializer.class)
#JsonDeserialize(using = EnumerationDeserializer.class)
#EnumJson(serializeProjection = Projection.NAME, deserializationClass = RGB.class)
enum RGB {
RED,
GREEN,
BLUE
}
Notice how the implementation of ContextualDeserializer pulls the class from the annotation.
https://github.com/sirgilligan/EnumerationSerialization/blob/main/src/main/java/org/example/EnumerationDeserializer.java
There is a lot of good code in this that might give insights.
For your specific question you could do this:
#JsonSerialize(using = EnumerationSerializer.class)
#JsonDeserialize(using = EnumerationDeserializer.class)
#EnumJson(serializeProjection = Projection.NAME, deserializationClass = Event.class)
public enum Event {
FORGOT_PASSWORD("forgot password");
//This annotation is optional because the code looks for value or alias.
#EnumJson(serializeProjection = Projection.VALUE)
private final String value;
private Event(final String description) {
this.value = description;
}
}
Or you could do this:
#JsonSerialize(using = EnumerationSerializer.class)
#JsonDeserialize(using = EnumerationDeserializer.class)
#EnumJson(serializeProjection = Projection.NAME, deserializationClass = Event.class)
public enum Event {
FORGOT_PASSWORD("forgot password");
private final String value;
private Event(final String description) {
this.value = description;
}
}
That's all you have to do.
Then if you have a class that "has a" event you can annotate each occurance to serialize the way you want.
class EventHolder {
#EnumJson(serializeProjection = Projection.NAME)
Event someEvent;
#EnumJson(serializeProjection = Projection.ORDINAL)
Event someOtherEvent;
#EnumJson(serializeProjection = Projection.VALUE)
Event yetAnotherEvent;
}

The simplest way I found is using #JsonFormat.Shape.OBJECT annotation for the enum.
#JsonFormat(shape = JsonFormat.Shape.OBJECT)
public enum MyEnum{
....
}

I did it like this :
// Your JSON
{"event":"forgot password"}
// Your class to map
public class LoggingDto {
#JsonProperty(value = "event")
private FooEnum logType;
}
//Your enum
public enum FooEnum {
DATA_LOG ("Dummy 1"),
DATA2_LOG ("Dummy 2"),
DATA3_LOG ("forgot password"),
DATA4_LOG ("Dummy 4"),
DATA5_LOG ("Dummy 5"),
UNKNOWN ("");
private String fullName;
FooEnum(String fullName) {
this.fullName = fullName;
}
public String getFullName() {
return fullName;
}
#JsonCreator
public static FooEnum getLogTypeFromFullName(String fullName) {
for (FooEnum logType : FooEnum.values()) {
if (logType.fullName.equals(fullName)) {
return logType;
}
}
return UNKNOWN;
}
}
So the value of the property "logType" for class LoggingDto will be DATA3_LOG

This post is old, but if it can help someone, use JsonFormat.Shape.STRING
#JsonFormat(shape = JsonFormat.Shape.STRING)
public enum SomeEnum{
#JsonProperty("SOME_PROPERTY")
someProperty,
...
}
Code results is like this
{"someenum":"SOME_PROPERTY"}

Develop Reference

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