Parsing JSON responses for either arrays or objects

Struggling with a design issue using Gson as my parsing library while creating a library to consume a Json API.

One of the endpoints returns an array of objects under normal circumstances:

[
  { 
   "name": "John",
   "age" : 21
  },
  { 
   "name": "Sarah",
   "age" : 32
  }
]

However, the error schema for all API endpoints is a json object instead of an array.

{
  "errors": [
     { 
       "code": 1001,
       "message": "Something blew up"
     }
  ]
}

The challenge arises when representing this in POJOs. To handle this, I created an abstract ApiResponse class solely for mapping errors attribute:

public abstract class ApiResponse{

  @SerializedName("errors")
  List<ApiResponseError> errors;
}

public class ApiResponseError {

  @SerializedName("code")
  public Integer code;

  @SerializedName("message")
  public String message;
} 

To automate error mapping and create a specific POJO for each endpoint response, I wanted to inherit from ApiResponse. However, since the top level object in the response is an array (when successful), I had to find a workaround.

I proceeded by extending ApiResponse:

public class ApiResponsePerson extends ApiResponse {

  List<Person> persons;
}

And implemented a custom deserializer to parse the json correctly based on the type of the top level object:

public class DeserializerApiResponsePerson implements JsonDeserializer<ApiResponsePerson> {

  @Override 
  public ApiResponse deserialize(JsonElement json, Type typeOfT, JsonDeserializationContext context) throws JsonParseException {

    ApiResponsePerson response = new ApiResponsePerson();
    if (json.isJsonArray()) {
      Type personType = new TypeToken<List<Person>>() {}.getType();
      response.persons = context.deserialize(json, personType);
      return response;
    }
    if (json.isJsonObject()) {
      JsonElement errorJson = json.getAsJsonObject().get("errors");
      Type errorsType = new TypeToken<List<ApiResponseError>>() {}.getType();
      response.errors = context.deserialize(errorJson, errorsType);
      return response;
    }
    throw new JsonParseException("Unexpected Json for 'ApiResponse'");
  }
}

This custom deserializer will be added to the Gson instance:

Gson gson = new GsonBuilder()
    .registerTypeAdapter(ApiResponsePerson.class, new DeserializerApiResponsePerson())
    .create();

Is there a more efficient way to accomplish this without manual intervention? Any better suggestions or possible failure scenarios I may have overlooked?

Thank you.

Answer №1

At times, API responses may not seamlessly integrate with statically typed languages like Java. When faced with a mismatch in response format, the solution often involves writing additional code to tailor it to your needs. While Gson can assist in such situations, it comes at a cost.

Is there a way to structure these POJOs so that Gson can automatically recognize and handle this scenario?

No, Gson does not combine objects of varying structures; you will still need to provide explicit instructions.

Is there a more efficient approach to achieve this?

Indeed, there are better ways to model the response and streamline the parsing process for such scenarios.

Are there any potential failure points or unexpected behavior where the deserializer might fall short?

Like all deserializers, Gson is sensitive to the response format, making it generally reliable but leave room for improvement.

To tackle two possible scenarios - a regular response or an error, consider modeling them as follows:

abstract class ApiResponse<T> {

    protected abstract boolean isSuccessful();

    protected abstract T getData() throws UnsupportedOperationException;

    protected abstract List<ApiResponseError> getErrors() throws UnsupportedOperationException;

    private ApiResponse() {
    }

    static <T> ApiResponse<T> success(final T data) {
        return new SucceededApiResponse<>(data);
    }

    static <T> ApiResponse<T> failure(final List<ApiResponseError> errors) {
        @SuppressWarnings("unchecked")
        final ApiResponse<T> castApiResponse = (ApiResponse<T>) new FailedApiResponse(errors);
        return castApiResponse;
    }

    final void accept(final IApiResponseConsumer<? super T> consumer) {
        if (isSuccessful()) {
            consumer.acceptSuccess(getData());
        } else {
            consumer.acceptFailure(getErrors());
        }
    }

    final T acceptOrNull() {
        if (!isSuccessful()) {
            return null;
        }
        return getData();
    }

    final T acceptOrNull(final Consumer<? super List<ApiResponseError>> errorsConsumer) {
        if (!isSuccessful()) {
            errorsConsumer.accept(getErrors());
            return null;
        }
        return getData();
    }

    private static final class SucceededApiResponse<T> extends ApiResponse<T> {
        
        // implementation details omitted
        
    }

    private static final class FailedApiResponse extends ApiResponse<Void> {

        // implementation details omitted
        
    }

}
interface IApiResponseConsumer<T> {

    void acceptSuccess(T data);

    void acceptFailure(List<ApiResponseError> errors);

}

To handle errors:

final class ApiResponseError {

    final int code = Integer.valueOf(0);
    final String message = null;

}

And also define entities like "Person":

final class Person {

    final String name = null;
    final int age = Integer.valueOf(0);

}

The second part concerns a special type adapter for Gson to accurately deserialize the API responses. This type adapter operates efficiently in a streaming manner, optimizing memory usage particularly for large JSON documents.

final class ApiResponseTypeAdapterFactory implements TypeAdapterFactory {

    // implementation details omitted
        
}

Finally, here's how the components synchronize, maintaining encapsulation and high flexibility in handling responses.

public final class Q43113283 {

    // implementation details omitted

}

This comprehensive breakdown demonstrates successful handling of different response types, providing clarity and efficiency in managing API data.

Answer №2

If you find yourself in a situation where the top-level element of your data is an array and not an object, using custom deserializers becomes necessary to handle this scenario effectively. Unfortunately, there's no way around it (assuming you're unable to modify the response formats).

To improve the code structure and maintain cleanliness, one suggested approach is to create an abstract top-level deserializer class that checks for any potential errors. If no error is found, the deserializer can then delegate the parsing of fields to an abstract method. This method would need to be implemented in custom serializers written for each specific class.

Answer №3

This proposed solution works well in most cases, but I believe it could benefit from a more generalized approach. It would be helpful to have a clear indication of success or failure for each request. Therefore, I suggest the JSON format should follow this structure:

For successful responses:

{
  "status": "success",
  "results": [
    { 
      "name": "Alice",
      "age" : 30
    }
  ]
}

For failed responses:

{
  "status": "failure",
  "errors": [
     { 
       "code": 2001,
       "message": "An unexpected error occurred"
     }
  ]
}

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