gson is such a great serialize/deserialization tool. It's really simple to get a JSON representation of an arbitrary object by using the toJson-function.
Now I want to send the data of my object to the browser to be used within javascript/jQuery. Thus, I need one additional JSON element defining the dom class of the object which is coded within my object as a dynamic/memberless function
public String buildDomClass()
How to add this string to my String created by the toJson function?
Any ideas?
Thanks a lot
An easy way is to combine a TypeAdapterFactory and an interface.
First an interface for your method :
public interface MyInterface {
public String buildDomClass();
}
then the factory :
final class MyAdapter implements TypeAdapterFactory {
#Override
public <T> TypeAdapter<T> create(final Gson gson, final TypeToken<T> tokenType) {
final TypeAdapter<T> adapter = gson.getDelegateAdapter(this, tokenType);
return new TypeAdapter<T>() {
#Override
public T read(JsonReader reader) throws IOException {
return adapter.read(reader);
}
#Override
public void write(JsonWriter writer, T value) throws IOException {
JsonElement tree = adapter.toJsonTree(value);
if (value instanceof MyInterface) {
String dom = ((MyInterface) value).buildDomClass();
JsonObject jo = (JsonObject) tree;
jo.addProperty("dom", dom );
}
gson.getAdapter(JsonElement.class).write(writer, tree);
}
};
}
}
Easy to understand, if the object you want to serialize implement the interface, you delegate the serializing, and then you add an extra property holding you DOM.
In case you don't know, you register a factory like this
Gson gson = new GsonBuilder().registerTypeAdapterFactory(new MyAdapter()).create();
Related
I have an entity with multiple #ManyToOne associations. I am using spring-boot to expose a REST API. Currently, I have multiple REST API's which return a JSON response of the whole entity, including associations.
But I don't want to serialize all associated objects in all REST APIs.
For example
API-1 should return parent + associationA object
API-2 should return parent + associationA + associationB object
API-3 should return parent + associationB + associationC + associationD
So, in my serialization process, I want to ignore all association except associationA for API-1.
For API-2 I want to ignore other associations except A and B
How do I dynamically ignore these properties during Jackson serialization?
Notes:
I'm using the same class for each; I am not interested in creating a DTO for each API.
Any suggestions are kingly appreciated.
I've put together three approaches for performing dynamic filtering in Jackson. One of them must suit your needs.
Using #JsonView
You could use #JsonView:
public class Views {
interface Simple { }
interface Detailed extends Simple { }
}
public class Foo {
#JsonView(Views.Simple.class)
private String name;
#JsonView(Views.Detailed.class)
private String details;
// Getters and setters
}
#RequestMapping("/foo")
#JsonView(Views.Detailed.class)
public Foo getFoo() {
Foo foo = new Foo();
return foo;
}
Alternatively you can set the view dynamically with MappingJacksonValue.
#RequestMapping("/foo")
public MappingJacksonValue getFoo() {
Foo foo = new Foo();
MappingJacksonValue result = new MappingJacksonValue(foo);
result.setSerializationView(Views.Detailed.class);
return result;
}
Using a BeanSerializerModifier
You could extend BeanSerializerModifier and then override the changeProperties() method. It allows you to add, remove or replace any of properties for serialization, according to your needs:
public class CustomSerializerModifier extends BeanSerializerModifier {
#Override
public List<BeanPropertyWriter> changeProperties(SerializationConfig config,
BeanDescription beanDesc, List<BeanPropertyWriter> beanProperties) {
// In this method you can add, remove or replace any of passed properties
return beanProperties;
}
}
Then register the serializer as a module in your ObjectMapper:
ObjectMapper mapper = new ObjectMapper();
mapper.registerModule(new SimpleModule() {
#Override
public void setupModule(SetupContext context) {
super.setupModule(context);
context.addBeanSerializerModifier(new CustomSerializerModifier());
}
});
Check examples here and here.
Using #JsonFilter with a SimpleBeanPropertyFilter
Another approach involves #JsonFilter:
#JsonFilter("customPropertyFilter")
public class Foo {
private String name;
private String details;
// Getters and setters
}
Extend SimpleBeanPropertyFilter and override the serializeAsField() method according to your needs:
public class CustomPropertyFilter extends SimpleBeanPropertyFilter {
#Override
public void serializeAsField(Object pojo, JsonGenerator jgen,
SerializerProvider provider,
PropertyWriter writer) throws Exception {
// Serialize a field
// writer.serializeAsField(pojo, jgen, provider, writer);
// Omit a field from serialization
// writer.serializeAsOmittedField(pojo, jgen, provider);
}
}
Then register the filter in your ObjectMapper:
FilterProvider filterProvider = new SimpleFilterProvider()
.addFilter("customPropertyFilter", new CustomPropertyFilter());
ObjectMapper mapper = new ObjectMapper();
mapper.setFilterProvider(filterProvider);
If you want to make your filter "global", that is, to be applied to all beans, you can create a mix-in class and annotate it with #JsonFilter("customPropertyFilter"):
#JsonFilter("customPropertyFilter")
public class CustomPropertyFilterMixIn {
}
Then bind the mix-in class to Object:
mapper.addMixIn(Object.class, CustomPropertyFilterMixIn.class);
public static <T> String getNonNullFieldsSerialized(T object, ObjectMapper objectMapper)throws JsonProcessingException {
Map<String, Object> objectMap = objectMapper.convertValue(object, new TypeReference<Map<String, Object>>() {});
Map<String, Object> objectMapNonNullValues = objectMap.entrySet().stream()
.filter(stringObjectEntry -> Objects.nonNull(stringObjectEntry.getValue()))
.collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue));
return objectMapper.writeValueAsString(objectMapNonNullValues);
}
This will basically ignore all the fields that are non-null. Similarly you can ignore other fields by changing the map filter condition.
I have implemented dynamic filter on data getting from db and returning it using rest api.I have avoided using MappingJacksonValue.As it was getting issue while object chaining
#GetMapping("/courses")
public ResponseEntity<JpaResponse> allCourse() throws Exception {
JpaResponse response = null;
ObjectMapper mapper = new ObjectMapper();
mapper.setSerializationInclusion(JsonInclude.Include.NON_NULL);
List<Course> course = service.findAllCourse();
SimpleBeanPropertyFilter filter = SimpleBeanPropertyFilter.filterOutAllExcept("name","reviews");
FilterProvider filterProvider = new SimpleFilterProvider().addFilter("jpafilter", filter).setFailOnUnknownId(false);
ObjectWriter writer = mapper.writer(filterProvider);
String writeValueAsString = writer.writeValueAsString(course);
List<Course> resultcourse = mapper.readValue(writeValueAsString,List.class);
response = new JpaResponse(HttpStatus.OK.name(),resultcourse);
return new ResponseEntity<>(response, HttpStatus.OK);
}
public class JpaResponse {
private String status;
private Object data;
public JpaResponse() {
super();
}
public JpaResponse(String status, Object data) {
super();
this.status = status;
this.data = data;
}
}
I am working with some json objects that I call verbose:
{
"user": {
"name": "username",
"email": "blah#blah.com",
"time_zone": "America/New_York"
}
}
But I'd prefer to just deal with them in terms of java POJOs like:
class UserDetails {
String name;
String email;
String timeZone;
...
}
Note that I have no control over the POJO as it is generated code.
My two requirements for (de)serialization is that
the timeZone field maps to time_zone in JSON
the outer user is ignored
So I have some customer (de)serializers:
class UserDeserializer implements JsonDeserializer<UserDetails> {
#Override
public UserDetails deserialize(JsonElement je, Type type, JsonDeserializationContext jdc)
throws JsonParseException {
JsonElement content = je.getAsJsonObject().get("user");
UserDetails userDetails = new GsonBuilder()
.setFieldNamingStrategy(FieldNamingPolicy.LOWER_CASE_WITH_UNDERSCORES)
.create()
.fromJson(content, UserDetails.class);
return userDetails;
}
}
class UserSerializer implements JsonSerializer<UserDetails> {
#Override
public JsonElement serialize(UserDetails userDetails, Type typeOfSrc,
JsonSerializationContext context) {
JsonObject obj = new JsonObject();
JsonElement je = new GsonBuilder()
.setFieldNamingStrategy(FieldNamingPolicy.LOWER_CASE_WITH_UNDERSCORES)
.create().toJsonTree(userDetails);
obj.add("user", je);
return obj;
}
}
I feel like creating new Gson objects in the (de)serializer logic is not ideal/efficient just to add and remove the outermost user key.
EDIT: Actually .setFieldNamingStrategy(FieldNamingPolicy.LOWER_CASE_WITH_UNDERSCORES) does work fine on deserialization.
I don't really think it's a good idea in general, and you should probably better have a single Wrapper<T> for all "top-most" purposes (if you don't want your inner objects to be considered "verbose").
But you're right when you say
I feel like creating new Gson objects in the (de)serializer logic is not ideal/efficient just to add and remove the outermost user key.
So:
Creating a Gson is a relatively expensive operation.
This just creates unnecessary objects and hits the heap.
Gson may be configured in a special way and you might want to share the same Gson configuration everywhere.
JsonSerializer and JsonDeserializer operate on JSON trees (JsonElement and its subclasses), therefore it creates an intermediate in-memory tree representations before/after serialization/deserialization.
You might consider a faster solution, that's free of those items.
final class VerboseTypeAdapterFactory
implements TypeAdapterFactory {
private final Map<Class<?>, String> mappings;
private VerboseTypeAdapterFactory(final Map<Class<?>, String> mappings) {
this.mappings = mappings;
}
static TypeAdapterFactory get(final Map<Class<?>, String> mappings) {
// Create a defensive copy to make sure the map is not modified from outside
final Map<Class<?>, String> mappingsCopy = mappings
.entrySet()
.stream()
.collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue));
return new VerboseTypeAdapterFactory(mappingsCopy);
}
#Override
public <T> TypeAdapter<T> create(final Gson gson, final TypeToken<T> typeToken) {
final Class<? super T> rawType = typeToken.getRawType();
// Not something we can handle?
if ( !mappings.containsKey(rawType) ) {
// Then let Gson do its job elsewhere
return null;
}
// Getting a property name we want to use for a particular class
final String propertyName = mappings.get(rawType);
// And getting the original type adapter for this class (effectively ReflectiveTypeAdapterFactory.Adapter)
final TypeAdapter<T> delegateTypeAdapter = gson.getDelegateAdapter(this, typeToken);
return VerboseTypeAdapter.get(propertyName, delegateTypeAdapter);
}
private static final class VerboseTypeAdapter<T>
extends TypeAdapter<T> {
private final String propertyName;
private final TypeAdapter<T> delegateTypeAdapter;
private VerboseTypeAdapter(final String propertyName, final TypeAdapter<T> delegateTypeAdapter) {
this.propertyName = propertyName;
this.delegateTypeAdapter = delegateTypeAdapter;
}
private static <T> TypeAdapter<T> get(final String propertyName, final TypeAdapter<T> delegateTypeAdapter) {
return new VerboseTypeAdapter<>(propertyName, delegateTypeAdapter)
// A convenient method to simplify null-handling
.nullSafe();
}
#Override
#SuppressWarnings("resource")
public void write(final JsonWriter out, final T object)
throws IOException {
// Open the object with `{`
out.beginObject();
// Prepend the object with its reserved name
out.name(propertyName);
// Write the object
delegateTypeAdapter.write(out, object);
// And close the object with `}`
out.endObject();
}
#Override
public T read(final JsonReader in)
throws IOException {
// Assume the very first token is `{`
in.beginObject();
// Peeking what's the actual property name
final String actualPropertyName = in.nextName();
// And if it's not we expect, throw a JSON parse exception
if ( !actualPropertyName.equals(propertyName) ) {
throw new JsonParseException("Expected " + propertyName + " but was " + actualPropertyName);
}
// Otherwise read the value led by the property name
final T object = delegateTypeAdapter.read(in);
// And make sure there are no more properties
if ( in.hasNext() ) {
throw new JsonParseException(propertyName + " is expected to be the only top-most property");
}
// Assume the very last token is `}` (this works for the check above, but we made it more semantical)
in.endObject();
return object;
}
}
}
So, for example, the following code
private static final Gson gson = new GsonBuilder()
.setFieldNamingStrategy(FieldNamingPolicy.LOWER_CASE_WITH_UNDERSCORES)
.registerTypeAdapterFactory(VerboseTypeAdapterFactory.get(ImmutableMap.of(UserDetails.class, "user")))
.create();
...
final UserDetails userDetails = gson.fromJson(jsonReader, UserDetails.class);
System.out.println(userDetails.name);
System.out.println(userDetails.email);
System.out.println(userDetails.timeZone);
final String json = gson.toJson(userDetails);
System.out.println(json);
produces
username
blah#blah.com
America/New_York
{"user":{"name":"username","email":"blah#blah.com","time_zone":"America/New_York"}}
As the conclusion:
No more excessive Gson instantiation.
Original Gson instance configuration inherited (i.e. FieldNamingPolicy.LOWER_CASE_WITH_UNDERSCORES set once).
No intermediate JsonElement instances.
I have the following JSON:
{
"animals": {
"113110": {
"id": 113110,
"name": "Dog",
.....
},
"121853": {
"id": 121853,
"name": "Cat",
.....
}
}
}
Ideally, the JSON should be as follows and implementing Jackson annotations will be trivial:
{
"animals": [
{
"id": 113110,
"name": "Dog",
.....
},
{
"id": 121853,
"name": "Cat",
.....
}
]
}
However, is there a way to use Jackson to abstract the object names so I can work with the original JSON, if anybody gets my meaning?
EDIT:
I do not know how to create my POJO. I could create an Animal class, with objects 113110 and 121853, but as these objects will always vary, how do I use Jackson annotations in my Animal class so that I can deserialize the JSON?
Thanks all, but I couldn't really understand the rest of the answers ( I don't really want to delve into Jackson, I just want to convert it to a POJO), so I found an alternative solution.
I left out a key bit of information: The JSON I posted is part of a much larger JSON object.
I ended up using Jackson's #AnySetter as I noticed that any "un-parsable" JSON data related to "animals" could be retrieved in additionalProperties defined as follows in its parent class:
public class AnimalParent {
#JsonIgnore
private Animal animal;
#JsonIgnore
private Map<String, Object> additionalProperties =
new HashMap<String, Object>();
public Animal getAnimal() {
return this.animal;
}
public void setAnimal(Animal animal) {
this.animal = animal;
}
#JsonAnyGetter
public Map<String, Object> getAdditionalProperties() {
return this.additionalProperties;
}
#JsonAnySetter
public void setAdditionalProperty(String name, Object value) {
this.additionalProperties.put(name, value);
}
}
Then in my main method where I parse the parent JSON, I have the following after the parsing is completed to parse the animals.
// start parsing parent JSON
...
// end parsing parent JSON
// parse animal
ObjectMapper mapper = new ObjectMapper();
if (animalParent.getAdditionalProperties() != null) {
for (Map.Entry<String, Object> item : animalParent
.getAdditionalProperties().entrySet()) {
Animal animal = mapper.convertValue(item.getValue(), Animal.class);
animalParent.setAnimal(animal);
}
It is always a bit messy when your JSON is "dynamic" as per the OPs example. The main approaches are
parse the JSON to some kind of dynamic Map-structure
parse the JSON to a tree-structure (i.e. JsonNode)
use a custom deserializer to parse the JSON and map it to a POJO
There are downsides to all of these approaches. The Map-approach offers no type safety and does not offer much functionality when it comes to traversing the object structure.
The JsonNode approach offers some nice type-methods and also some traversal methods. IMO this is a cleaner approach than the Map-approach.
The POJO-approach is type safe but a custom deserializer is required which is generally not pretty...
So, maybe the following "hybrid" approach can be of use.
// Setup the mapper
final ObjectMapper mapper = new ObjectMapper();
// Parse the json to a tree (JsonNode). This is IMO nicer than the
// Map since it exposes some nice methods for managing the
// underlying data
final JsonNode json = mapper.readTree(jsonString);
// Alt 1, use JsonNode directly
for (final JsonNode animal : json.path("animals")) {
final int id = animal.get("id").asInt();
final String name = animal.get("name").asText();
// Do stuff with name and id...
}
If the JsonNode approach feels a bit too raw then it is possible to convert the JsonNode object to a POJO without the use of a deserializer. If you assume the following POJO:
public class Animal {
private final int id;
private final String name;
#JsonCreator
public Animal(#JsonProperty("id") final int id, #JsonProperty("name") final String name) {
this.id = id;
this.name = name;
}
public int getId() {
return id;
}
public String getName() {
return name;
}
}
Then, this code can be used for converting to POJOs:
final ObjectMapper mapper = new ObjectMapper();
final JsonNode json = mapper.readTree(jsonString);
// Alt 2, convert to a Pojo
for (final JsonNode animal : json.path("animals")) {
final Animal a = mapper.treeToValue(animal, Animal.class);
// Handle the animal instance...
}
Finally, if the POJO still contains dynamic data you can use the following approach to handle that. In your POJO, declare the following:
private final Map<String, Object> dynamic = new HashMap<>();
#JsonAnySetter
private void set(String name, Object value) {
dynamic.put(name, value);
}
Note that it is not a must for the method to be public (i.e. it can be hidden from the outside world). This way you'll get hold of all the unknown/dynamic JSON elements.
Personally, any time I'm dealing with weird JSON that doesn't map easily to POJOs, I just do custom serialization.
I would probably make the POJOs look something like this:
public class Animal
{
String id;
String name;
}
public class JsonThing
{
List<Animal> animals;
}
Then I would implement a custom parser using the Jackson stream API. Here's a quick stub of a JsonDeserializer<JsonThing>:
public Stuff deserialize(JsonParser jp, DeserializationContext ctxt)
throws IOException, JsonProcessingException
{
.... // Start by creating a JsonThing instance and init the list.
while (jp.nextToken() != JsonToken.END_OBJECT)
{
jp.nextToken();
switch (jp.getCurrentName())
{
case "animals":
jp.nextToken(); // Skip to {
jp.nextToken(); // Skip id field
Animal a = jp.readValuesAs(Animal.class);
// Add to list
}
}
..... // Return JsonThing
}
If the keys are not known in advance then use Map instead of POJO.
Have a look at Example 1 and Example 2
You can try any one.
sample code: (using Jackson Library)
TypeReference<Map<String, Object>> typeRef = new TypeReference<Map<String, Object>>() {};
ObjectMapper mapper = new ObjectMapper();
try {
Map<String, Object> data = mapper.readValue(jsonString, typeRef);
} catch (Exception e) {
System.out.println("There might be some issue with the JSON string");
}
sample code: using GSON Library
Type type = new TypeToken<Map<String, Object>>() {}.getType();
Map<String, Object> data = new Gson().fromJson(jsonString, type);
Perhaps it's just a question of combining simple Maps with pojos? Like:
public class Wrapper {
public Map<Long, Animal> animals;
}
public class Animal {
public long id;
public String name;
}
and that's it; although ids there match, maybe there is no need to try to model that dependency.
I want to serialize/deserialize an array of Objects that extend an abstract object using gson. To do this I made a TypeHierarchyAdapter like this:
private static class BaseModelAdapter<T extends BaseModel> implements JsonSerializer<T>, JsonDeserializer<T>{
private static final String MODEL_TYPE_PROPERTY = "MODEL_TYPE_PROPERTY";
private static final String CHILDREN_PROPERTY = "children";
private static final Gson gson = new Gson();
#Override
public T deserialize(JsonElement json, Type typeOfT, JsonDeserializationContext context) throws JsonParseException {
if(!json.getAsJsonObject().has(MODEL_TYPE_PROPERTY)) {
throw new JsonParseException("Couldn't find target class! \n" + json.toString());
}
final String className = json.getAsJsonObject().get(MODEL_TYPE_PROPERTY).getAsString();
try {
return (T) gson.fromJson(json, Class.forName(className));
} catch (ClassNotFoundException e) {
Log.e(TAG, e);
throw new JsonParseException("Couldn't find target class!", e);
}
}
#Override
public JsonElement serialize(T src, Type typeOfSrc, JsonSerializationContext context) {
final JsonObject ret = gson.toJsonTree(src).getAsJsonObject();
ret.add(CHILDREN_PROPERTY, context.serialize(src.getChildren()));
ret.addProperty(MODEL_TYPE_PROPERTY, src.getClass().getName());
return ret;
}
}
This I use the adapter like this:
TypeToken<List<BaseModel>> typeToken = new TypeToken<List<BaseModel>>(){};
GsonBuilder builder = new GsonBuilder();
builder.registerTypeHierarchyAdapter(BaseModel.class, new BaseModelAdapter<BaseModel>());
builder.setPrettyPrinting();
Gson special = builder.create();
String json = special.toJson(featured); //Works!
List<BaseModel> baseModels = special.fromJson(json, typeToken.getType()); //Exception Thrown!
It works perfectly if I make BaseModel not abstract, which I suppose I could do for the sake of making this work. But I would much rather keep BaseModel abstract as it should be. The exception thrown says it can not invoke a no-args constructor which has never been a problem with gson before. Adding a no-args constructor to my BaseModel class does not fix the problem and it still says the same message. Is there anyway I can get this to work while keeping BaseModel abstract?
Good day,
I am currently integration attempting to consume a REST service that produces JSON (written in .NET) using Jackson (with Jersey). The JSON consists of a possible error message and an array of objects. Below is a sample of the JSON returned as produced by Jersey's logging filter:
{
"error":null,
"object":"[{\"Id\":16,\"Class\":\"ReportType\",\"ClassID\":\"4\",\"ListItemParent_ID\":4,\"Item\":\"Pothole\",\"Description\":\"Pothole\",\"Sequence\":1,\"LastEditDate\":null,\"LastEditor\":null,\"ItemStatus\":\"Active\",\"ItemColor\":\"#00AF64\"}]"
}
I have two classes to represent the type (the outer ListResponse):
public class ListResponse {
public String error;
public ArrayList<ListItem> object;
public ListResponse() {
}
}
and (the inner ListItem):
public class ListItem {
#JsonProperty("Id")
public int id;
#JsonProperty("Class")
public String classType;
#JsonProperty("ClassID")
public String classId;
#JsonProperty("ListItemParent_ID")
public int parentId;
#JsonProperty("Item")
public String item;
#JsonProperty("Description")
public String description;
#JsonAnySetter
public void handleUnknown(String key, Object value) {}
public ListItem() {
}
}
The class that invokes and returns the JSON looks like this:
public class CitizenPlusService {
private Client client = null;
private WebResource service = null;
public CitizenPlusService() {
initializeService("http://localhost:59105/PlusService/");
}
private void initializeService(String baseURI) {
// Use the default client configuration.
ClientConfig clientConfig = new DefaultClientConfig();
clientConfig.getClasses().add(JacksonJsonProvider.class);
client = Client.create(clientConfig);
// Add a logging filter to track communication between server and client.
client.addFilter(new LoggingFilter());
// Add the base URI
service = client.resource(UriBuilder.fromUri(baseURI).build());
}
public ListResponse getListItems(String id) throws Exception
{
ListResponse response = service.path("GetListItems").path(id).accept(MediaType.APPLICATION_JSON_TYPE, MediaType.APPLICATION_XML_TYPE).get(ListResponse.class);
return response;
}
}
The important call here is the getListItems method. Running the code in a test harness, produces the following:
org.codehaus.jackson.map.JsonMappingException: Can not deserialize instance of java.util.ArrayList out of VALUE_STRING token
at [Source: java.io.StringReader#49497eb8; line: 1, column: 14] (through reference chain: citizenplus.types.ListResponse["object"])
Please assist.
Regards,
Carl-Peter Meyer
You may be missing a #JsonDeserialize attribute as the type information does get lost in generics at run-time. Also you should avoid using concrete classes for collections if you can.
public class ListResponse {
public String error;
#JsonDeserialize(as=ArrayList.class, contentAs=ListItem.class)
public List<ListItem> object;
}
Your problem is that the 'object' property value is a String and not an array! The string contains a JSON array but Jackson expects a native array (without the wrapping quotes).
I had the same problem and I created a custom deserializer, which will deserialize a string value to a generic collection of the desired type:
public class JsonCollectionDeserializer extends StdDeserializer<Object> implements ContextualDeserializer {
private final BeanProperty property;
/**
* Default constructor needed by Jackson to be able to call 'createContextual'.
* Beware, that the object created here will cause a NPE when used for deserializing!
*/
public JsonCollectionDeserializer() {
super(Collection.class);
this.property = null;
}
/**
* Constructor for the actual object to be used for deserializing.
*
* #param property this is the property/field which is to be serialized
*/
private JsonCollectionDeserializer(BeanProperty property) {
super(property.getType());
this.property = property;
}
#Override
public JsonDeserializer<?> createContextual(DeserializationContext ctxt, BeanProperty property) throws JsonMappingException {
return new JsonCollectionDeserializer(property);
}
#Override
public Object deserialize(JsonParser jp, DeserializationContext ctxt) throws IOException, JsonProcessingException {
switch (jp.getCurrentToken()) {
case VALUE_STRING:
// value is a string but we want it to be something else: unescape the string and convert it
return JacksonUtil.MAPPER.readValue(StringUtil.unescapeXml(jp.getText()), property.getType());
default:
// continue as normal: find the correct deserializer for the type and call it
return ctxt.findContextualValueDeserializer(property.getType(), property).deserialize(jp, ctxt);
}
}
}
Note that this deserializer will also work if the value actually is an array and not a string, because it delegates the actual deserialization accordingly.
In your example you would now have to annotate your collection field like so:
public class ListResponse {
public String error;
#JsonDeserialize(using = JsonCollectionDeserializer.class)
public ArrayList<ListItem> object;
public ListResponse() {}
}
And that should be it.
Note: JacksonUtil and StringUtil are custom classes, but you can easily replace them. For example by using new ObjectMapper() and org.apache.commons.lang3.StringEscapeUtils.
The register subTypes works!
#JsonTypeInfo(use=JsonTypeInfo.Id.NAME, include=JsonTypeInfo.As.PROPERTY, property="type")
public interface Geometry {
}
public class Point implements Geometry{
private String type="Point";
....
}
public class Polygon implements Geometry{
private String type="Polygon";
....
}
public class LineString implements Geometry{
private String type="LineString";
....
}
GeoJson geojson= null;
ObjectMapper mapper = new ObjectMapper();
mapper.disable(DeserializationConfig.Feature.FAIL_ON_UNKNOWN_PROPERTIES);
mapper.registerSubtypes(Polygon.class,LineString.class,Point.class);
try {
geojson=mapper.readValue(source, GeoJson.class);
} catch (IOException e) {
e.printStackTrace();
}