Using MongoDB java driver, applying toJson() method on Document will get a JSON representation of this document with JsonMode set to STRICT.
The following epoch format is used for dates: { "$date" : "dateAsMilliseconds" }
Using mongoexport, we get an ISO-8601 format.
Seen in official doc ( https://docs.mongodb.com/manual/reference/mongodb-extended-json/ ) :
In Strict mode, date is an ISO-8601 date format with a mandatory time zone field following the template YYYY-MM-DDTHH:mm:ss.mmm<+/-Offset>.
The MongoDB JSON parser currently does not support loading ISO-8601 strings representing dates prior to the Unix epoch. When formatting pre-epoch dates and dates past what your system’s time_t type can hold, the following format is used:
{ "$date" : { "$numberLong" : "dateAsMilliseconds" } }
I would appreciate if someone can explain me why there is no common format used between MongoDB java driver, mongoexport tool and official docs?
Thanks.
Obviously there is NO good reason for the Java driver to deviate from the official specification. The only exception are for those dates which cannot be expressed in the ISO8601 format (like B.C. dates...)
As a work around I have extended the JsonWriter class and provided two toJson static methods as an example of how to use it:
package whatever.package.you.like;
import java.io.IOException;
import java.io.StringWriter;
import java.io.Writer;
import java.text.SimpleDateFormat;
import java.util.Date;
import java.util.TimeZone;
import org.bson.BSONException;
import org.bson.BsonContextType;
import org.bson.BsonDocument;
import org.bson.codecs.BsonDocumentCodec;
import org.bson.codecs.EncoderContext;
import org.bson.conversions.Bson;
import org.bson.json.JsonMode;
import org.bson.json.JsonWriter;
import org.bson.json.JsonWriterSettings;
import com.mongodb.MongoClient;
/**
* A {#link JsonWriter} extension that conforms to the "strict" JSON format
* specified by MongoDB for data/time values.
*
* The {#link JsonWriter} class provided in the MongoDB Java driver (version
* 3.2.2) does not conform to official MongoDB specification for strict mode
* JSON (see https://docs.mongodb.com/manual/reference/mongodb-extended-json/).
* This is specifically a problem with the date/time values which get filled
* with a milliseconds value (i.e. {$date: 309249234098}) instead of the ISO8601
* date/time (i.e. {$date: "2016-07-14T08:44:23.234Z"}) value which the
* specification calls for. This extension of {#link JsonWriter} conforms to the
* MongoDb specification in this regard.
*/
public class ConformingJsonWriter extends JsonWriter {
private final JsonWriterSettings settings;
private final Writer writer;
private boolean writingIndentedDateTime = false;
/**
* Creates a new instance which uses {#code writer} to write JSON to.
*
* #param writer
* the writer to write JSON to.
*/
public ConformingJsonWriter(final Writer writer) {
this(writer, new JsonWriterSettings());
}
/**
* Creates a new instance which uses {#code writer} to write JSON to and uses
* the given settings.
*
* #param writer
* the writer to write JSON to.
* #param settings
* the settings to apply to this writer.
*/
public ConformingJsonWriter(final Writer writer,
final JsonWriterSettings settings) {
super(writer, settings);
this.writer = writer;
this.settings = settings;
setContext(new Context(null, BsonContextType.TOP_LEVEL, ""));
}
private void writeIndentation(int skip) throws IOException {
for (Context context = getContext()
.getParentContext(); context != null; context = context
.getParentContext()) {
if (skip-- <= 0) {
writer.write(settings.getIndentCharacters());
}
}
}
private static String millisToIso8601(long millis) throws IOException {
SimpleDateFormat dateFormat = new SimpleDateFormat(
"yyyy-MM-dd\'T\'HH:mm:ss.SSS\'Z\'");
dateFormat.setTimeZone(TimeZone.getTimeZone("UTC"));
return dateFormat.format(new Date(millis));
}
#Override
protected void doWriteDateTime(final long value) {
if ((settings.getOutputMode() == JsonMode.STRICT)
&& (value >= -59014396800000L && value <= 253399536000000L)) {
try {
writeStartDocument();
if (settings.isIndent()) {
writingIndentedDateTime = true;
writer.write(settings.getNewLineCharacters());
writeIndentation(0);
} else {
writer.write(" ");
}
writer.write("\"$date\" : ");
writer.write("\"");
writer.write(millisToIso8601(value));
writer.write("\"");
writeEndDocument();
writingIndentedDateTime = false;
} catch (IOException e) {
throw new BSONException("Wrapping IOException", e);
}
} else {
super.doWriteDateTime(value);
}
}
#Override
protected void doWriteEndDocument() {
if (writingIndentedDateTime) {
try {
writer.write(settings.getNewLineCharacters());
writeIndentation(1);
writer.write("}");
if (getContext()
.getContextType() == BsonContextType.SCOPE_DOCUMENT) {
setContext(getContext().getParentContext());
writeEndDocument();
} else {
setContext(getContext().getParentContext());
}
} catch (IOException e) {
throw new BSONException("Wrapping IOException", e);
}
} else {
super.doWriteEndDocument();
}
}
/**
* Take a {#link Bson} instance and convert it to "strict" JSON
* representation with no indentation (read, "NOT pretty printed").
*
* #param bson
* The {#link Bson} instance to convert
* #return The JSON representation.
*/
public static String toJson(Bson bson) {
return toJson(bson, new JsonWriterSettings());
}
/**
* Take a {#link Bson} instance and convert it to JSON representation.
*
* #param bson
* The {#link Bson} instance to convert
* #param writerSettings
* {#link JsonWriterSettings} that specify details about how the
* JSON output should look.
* #return The JSON representation.
*/
public static String toJson(Bson bson,
final JsonWriterSettings writerSettings) {
BsonDocumentCodec encoder = new BsonDocumentCodec();
ConformingJsonWriter writer = new ConformingJsonWriter(new StringWriter(),
writerSettings);
encoder.encode(writer,
bson.toBsonDocument(BsonDocument.class,
MongoClient.getDefaultCodecRegistry()),
EncoderContext.builder().isEncodingCollectibleDocument(true)
.build());
return writer.getWriter().toString();
}
}
Related
Magento 1.x has its own JSON decode functions:
Mage::helper('core')->jsonDecode($array);
So how to use JSON Decode in Magento 2.
In the current version of Magento2 (2.2.3) the \Magento\Framework\Json\Helper\Data class is deprecated and may no longer be used in future versions. Therefore it is highly recommended to use the \Magento\Framework\Serialize\Serializer\Json class instead to decode a json string or encode an array to a json string.
/**
*
* #var \Magento\Framework\Serialize\Serializer\Json
*/
protected $_jsonSerializer;
public function __construct(
...
\Magento\Framework\Serialize\Serializer\Json $jsonSerializer,
...
) {
...
$this->_jsonSerializer = $jsonSerializer;
...
}
public function decodeJsonString($jsonString)
{
return $this->_jsonSerializer->unserialize($jsonString);
}
public function encodeArray($array)
{
return $this->_jsonSerializer->serialize($array);
}
Try below code with magento 2 for json decode
$objectManager = \Magento\Framework\App\ObjectManager::getInstance();
$jsonManager = $objectManager->get('\Magento\Framework\Json\Decoder');
return $jsonManager->decode($data);
According to This Answer
Method 1:
echo $this->helper(\Magento\Framework\Json\Helper\Data::class)->jsonDecode($array);
Or
$jsonHelper = $this->helper('Magento\Framework\Json\Helper\Data');
echo $jsonHelper->jsonDecode($array);
Method 2:
/**
* Constructor.
*
* #param \Magento\Framework\Json\Helper\Data $jsonHelper
*/
public function __construct(\Magento\Framework\Json\Helper\Data $jsonHelper)
{
$this->jsonHelper = $jsonHelper;
}
/**
* #param array $dataToDecode
* #return string
*/
public function decodeSomething(array $dataToDecode)
{
$decodedData= $this->jsonHelper->jsonDecode($dataToDecode);
return $decodedData;
}
I'm building a Rest API and I receive a json_encoded string from the clients.
I want this string to be decoded before saving my entity, because it's going into a jsonb field in PostgreSQL.
The behavior I want is :
Validate that the string is valid json, if not, add a violation in the form via a custom validator
Automatically decode the string and set the json object in the entity property
I've tried two different strategies
In the entity setMetadata($value) method, if $value is a string, I decode it
I created a DataTransformer that json_decode the value received in the form
But both these solutions don't work because the custom validator I created is called after, and it calls directly $lesson->getMetadata(). Since the value has already been decoded (either in the setMetadata() method or in the DataTransformer, the validator receive either a json object or null. So I can't add a violation to the form, since I have no way to know if the value received was actually null, or if the string was malformed.
Here is the lesson entity:
class Lesson extends BaseContent
{
[…]
/**
* #var jsonb
*
* #ORM\Column(name="metadata", type="jsonb", nullable=true)
* #KreactiveAssert\Json
*/
private $metadata;
[…]
}
Here is the custom validator:
class JsonValidator extends ConstraintValidator
{
public function validate($value, Constraint $constraint)
{
if ($value && !json_decode($value)) {
$this->context->addViolation($constraint->message, array('%string%' => $value));
}
}
}
And here is the DataTransformer:
class StringToJsonTransformer implements DataTransformerInterface
{
/**
* Transform a json object to a string
* #param Json|null $json
* #return String
*/
public function transform($json)
{
if (null === $json) {
return "";
}
return json_encode($json);
}
/**
* Transform a string to a json object
* #param String $string
* #return Object
*/
public function reverseTransform($string)
{
if (!$string) {
return null;
}
throw new TransformationFailedException('error transforming');
return json_decode($string);
}
}
Is there any way I can validate the input data in the form, and then set the metadata as a json object?
I've found this (I don't know how come I didn't find it earlier):
Combine constraints and data transformers
I'm going to make an ugly workaround as suggested, even though I don't like that solution.
<?php
class StringToJsonTransformer implements DataTransformerInterface
{
/**
* Transform a string to a json object
* #param String $string
* #return Object
*/
public function reverseTransform($string)
{
if (!$string) {
return null;
}
/*
* UGLY WORKAROUND
* we return -1 if the json_decode fail
* so the validator can add a violation in the form telling
* the json string was not valid
* If we don't do this, the validator will receive either
* null or a json object. In case of null, there is no way to
* tell if the client sent null, or if the decoding failed
*/
$value = json_decode($string);
return $value ? $value : -1;
}
}
I'm still not sure if I'm going to return -1 or something else. In the custom validator, I get an error if I try to compare a jsonObject with -1 (which is normal).
I have an app in .NET that I want to be able to talk to an Android app. Some research suggested not using XML, my usual choice, but instead using JSON which I've never touched. I'm using Json.NET and GSON.
I have a simple class in .NET;
public enum eCommandType
{
UNKNOWN,
PING,
GET_TIMINGS,
GET_EVENT_ID,
NEW_EVENT,
LOAD_PEOPLE,
LOAD_TAGS,
SET_LOCATION
}
public class CommandBase
{
[JsonConverter(typeof(StringEnumConverter))]
public eCommandType CommandType { get; set; }
}
I generate a schema using
//Encode enums as strings, not integers.
JSchemaGenerator stringEnumGenerator = new JSchemaGenerator();
stringEnumGenerator.GenerationProviders.Add
(new StringEnumGenerationProvider());
JSchema schema = stringEnumGenerator.Generate(typeof(CommandBase));
string s = schema.ToString();
That schema is
{
"type": "object",
"properties": {
"CommandType": {
"type": "string",
"enum": [
"UNKNOWN",
"PING",
"GET_TIMINGS",
"GET_EVENT_ID",
"NEW_EVENT",
"LOAD_PEOPLE",
"LOAD_TAGS",
"SET_LOCATION"
]
}
},
"required": [
"CommandType"
]
}
I then go to jsonschema2pojo and create a POJO, selecting "Gson" as the annotation style since it seems the thing to do. I press Preview and get a class that doesn't contain those enum values;
#Generated("org.jsonschema2pojo")
public class CommandType {
#Expose
private String type;
#SerializedName("enum")
#Expose
private List<String> _enum = new ArrayList<String>();
/**
*
* #return
* The type
*/
public String getType() {
return type;
}
/**
*
* #param type
* The type
*/
public void setType(String type) {
this.type = type;
}
/**
*
* #return
* The _enum
*/
public List<String> getEnum() {
return _enum;
}
/**
*
* #param _enum
* The enum
*/
public void setEnum(List<String> _enum) {
this._enum = _enum;
}
}
Unsurprisingly, if I go on to try and deserialize something using this in an Android app, I get an object that just has default values for the fields. Since there's obvious problems at this stage I've not included details of the Android side.
Aside from the missing enum values, there's no property in the POJO called "CommandType." The class itself has taken that name, the original name being lost in schema generation.
If I try the generated schema against jsonschemavalidator I get the error
Found 1 error(s)
Message: Required properties are missing from object: CommandType.
Schema path: #/required
So it seems I'm using Json.NET wrongly. However my usage seems pretty simple; I want enum strings rather than an int to make the eventual protocol robust as things change, and I want a type indication so I can deserialise to the correct POJO on the Android side, since I'll be having several different classes for a multitype query/response protocol. Is there something obviously wrong in my attempt to do this?
Select JSON Schema rather than JSON as your Source type at http://www.jsonschema2pojo.org/
Results:
#Generated("org.jsonschema2pojo")
public static enum CommandType {
UNKNOWN("UNKNOWN"),
PING("PING"),
GET_TIMINGS("GET_TIMINGS"),
GET_EVENT_ID("GET_EVENT_ID"),
NEW_EVENT("NEW_EVENT"),
LOAD_PEOPLE("LOAD_PEOPLE"),
LOAD_TAGS("LOAD_TAGS"),
SET_LOCATION("SET_LOCATION");
private final String value;
...etc
How should one deal with Gsonand required versus optional fields?
Since all fields are optional, I can't really fail my network request based on if the response json contains some key, Gsonwill simply parse it to null.
Method I am using gson.fromJson(json, mClassOfT);
For example if I have following json:
{"user_id":128591, "user_name":"TestUser"}
And my class:
public class User {
#SerializedName("user_id")
private String mId;
#SerializedName("user_name")
private String mName;
public String getId() {
return mId;
}
public void setId(String id) {
mId = id;
}
public String getName() {
return mName;
}
public void setName(String name) {
mName = name;
}
}
Is the any option to get Gson to fail if json would not contain user_id or user_name key?
There can be many cases where you might need at least some values to be parsed and other one could be optional?
Is there any pattern or library to be used to handle this case globally?
Thanks.
As you note, Gson has no facility to define a "required field" and you'll just get null in your deserialized object if something is missing in the JSON.
Here's a re-usable deserializer and annotation that will do this. The limitation is that if the POJO required a custom deserializer as-is, you'd have to go a little further and either pass in a Gson object in the constructor to deserialize to object itself or move the annotation checking out into a separate method and use it in your deserializer. You could also improve on the exception handling by creating your own exception and pass it to the JsonParseException so it can be detected via getCause() in the caller.
That all said, in the vast majority of cases, this will work:
public class App
{
public static void main(String[] args)
{
Gson gson =
new GsonBuilder()
.registerTypeAdapter(TestAnnotationBean.class, new AnnotatedDeserializer<TestAnnotationBean>())
.create();
String json = "{\"foo\":\"This is foo\",\"bar\":\"this is bar\"}";
TestAnnotationBean tab = gson.fromJson(json, TestAnnotationBean.class);
System.out.println(tab.foo);
System.out.println(tab.bar);
json = "{\"foo\":\"This is foo\"}";
tab = gson.fromJson(json, TestAnnotationBean.class);
System.out.println(tab.foo);
System.out.println(tab.bar);
json = "{\"bar\":\"This is bar\"}";
tab = gson.fromJson(json, TestAnnotationBean.class);
System.out.println(tab.foo);
System.out.println(tab.bar);
}
}
#Retention(RetentionPolicy.RUNTIME)
#Target(ElementType.FIELD)
#interface JsonRequired
{
}
class TestAnnotationBean
{
#JsonRequired public String foo;
public String bar;
}
class AnnotatedDeserializer<T> implements JsonDeserializer<T>
{
public T deserialize(JsonElement je, Type type, JsonDeserializationContext jdc) throws JsonParseException
{
T pojo = new Gson().fromJson(je, type);
Field[] fields = pojo.getClass().getDeclaredFields();
for (Field f : fields)
{
if (f.getAnnotation(JsonRequired.class) != null)
{
try
{
f.setAccessible(true);
if (f.get(pojo) == null)
{
throw new JsonParseException("Missing field in JSON: " + f.getName());
}
}
catch (IllegalArgumentException ex)
{
Logger.getLogger(AnnotatedDeserializer.class.getName()).log(Level.SEVERE, null, ex);
}
catch (IllegalAccessException ex)
{
Logger.getLogger(AnnotatedDeserializer.class.getName()).log(Level.SEVERE, null, ex);
}
}
}
return pojo;
}
}
Output:
This is foo
this is bar
This is foo
null
Exception in thread "main" com.google.gson.JsonParseException: Missing field in JSON: foo
Answer of Brian Roach is very good, but sometimes it's also necessary to handle:
properties of model's super class
properties inside of arrays
For these purposes the following class can be used:
/**
* Adds the feature to use required fields in models.
*
* #param <T> Model to parse to.
*/
public class JsonDeserializerWithOptions<T> implements JsonDeserializer<T> {
/**
* To mark required fields of the model:
* json parsing will be failed if these fields won't be provided.
* */
#Retention(RetentionPolicy.RUNTIME) // to make reading of this field possible at the runtime
#Target(ElementType.FIELD) // to make annotation accessible through reflection
public #interface FieldRequired {}
/**
* Called when the model is being parsed.
*
* #param je Source json string.
* #param type Object's model.
* #param jdc Unused in this case.
*
* #return Parsed object.
*
* #throws JsonParseException When parsing is impossible.
* */
#Override
public T deserialize(JsonElement je, Type type, JsonDeserializationContext jdc)
throws JsonParseException {
// Parsing object as usual.
T pojo = new Gson().fromJson(je, type);
// Getting all fields of the class and checking if all required ones were provided.
checkRequiredFields(pojo.getClass().getDeclaredFields(), pojo);
// Checking if all required fields of parent classes were provided.
checkSuperClasses(pojo);
// All checks are ok.
return pojo;
}
/**
* Checks whether all required fields were provided in the class.
*
* #param fields Fields to be checked.
* #param pojo Instance to check fields in.
*
* #throws JsonParseException When some required field was not met.
* */
private void checkRequiredFields(#NonNull Field[] fields, #NonNull Object pojo)
throws JsonParseException {
// Checking nested list items too.
if (pojo instanceof List) {
final List pojoList = (List) pojo;
for (final Object pojoListPojo : pojoList) {
checkRequiredFields(pojoListPojo.getClass().getDeclaredFields(), pojoListPojo);
checkSuperClasses(pojoListPojo);
}
}
for (Field f : fields) {
// If some field has required annotation.
if (f.getAnnotation(FieldRequired.class) != null) {
try {
// Trying to read this field's value and check that it truly has value.
f.setAccessible(true);
Object fieldObject = f.get(pojo);
if (fieldObject == null) {
// Required value is null - throwing error.
throw new JsonParseException(String.format("%1$s -> %2$s",
pojo.getClass().getSimpleName(),
f.getName()));
} else {
checkRequiredFields(fieldObject.getClass().getDeclaredFields(), fieldObject);
checkSuperClasses(fieldObject);
}
}
// Exceptions while reflection.
catch (IllegalArgumentException | IllegalAccessException e) {
throw new JsonParseException(e);
}
}
}
}
/**
* Checks whether all super classes have all required fields.
*
* #param pojo Object to check required fields in its superclasses.
*
* #throws JsonParseException When some required field was not met.
* */
private void checkSuperClasses(#NonNull Object pojo) throws JsonParseException {
Class<?> superclass = pojo.getClass();
while ((superclass = superclass.getSuperclass()) != null) {
checkRequiredFields(superclass.getDeclaredFields(), pojo);
}
}
}
First of all the interface (annotation) to mark required fields with is described, we'll see an example of its usage later:
/**
* To mark required fields of the model:
* json parsing will be failed if these fields won't be provided.
* */
#Retention(RetentionPolicy.RUNTIME) // to make reading of this field possible at the runtime
#Target(ElementType.FIELD) // to make annotation accessible throw the reflection
public #interface FieldRequired {}
Then deserialize method is implemented. It parses json strings as usual: missing properties in result pojo will have null values:
T pojo = new Gson().fromJson(je, type);
Then the recursive check of all fields of the parsed pojo is being launched:
checkRequiredFields(pojo.getClass().getDeclaredFields(), pojo);
Then we also check all fields of pojo's super classes:
checkSuperClasses(pojo);
It's required when some SimpleModel extends its SimpleParentModel and we want to make sure that all properties of SimpleModel marked as required are provided as SimpleParentModel's ones.
Let's take a look on checkRequiredFields method. First of all it checks if some property is instance of List (json array) - in this case all objects of the list should also be checked to make sure that they have all required fields provided too:
if (pojo instanceof List) {
final List pojoList = (List) pojo;
for (final Object pojoListPojo : pojoList) {
checkRequiredFields(pojoListPojo.getClass().getDeclaredFields(), pojoListPojo);
checkSuperClasses(pojoListPojo);
}
}
Then we are iterating through all fields of pojo, checking if all fields with FieldRequired annotation are provided (what means these fields are not null). If we have encountered some null property which is required - an exception will be fired. Otherwise another recursive step of the validation will be launched for current field, and properties of parent classes of the field will be checked too:
for (Field f : fields) {
// If some field has required annotation.
if (f.getAnnotation(FieldRequired.class) != null) {
try {
// Trying to read this field's value and check that it truly has value.
f.setAccessible(true);
Object fieldObject = f.get(pojo);
if (fieldObject == null) {
// Required value is null - throwing error.
throw new JsonParseException(String.format("%1$s -> %2$s",
pojo.getClass().getSimpleName(),
f.getName()));
} else {
checkRequiredFields(fieldObject.getClass().getDeclaredFields(), fieldObject);
checkSuperClasses(fieldObject);
}
}
// Exceptions while reflection.
catch (IllegalArgumentException | IllegalAccessException e) {
throw new JsonParseException(e);
}
}
}
And the last method should be reviewed is checkSuperClasses: it just runs the similar required fields validation checking properties of pojo's super classes:
Class<?> superclass = pojo.getClass();
while ((superclass = superclass.getSuperclass()) != null) {
checkRequiredFields(superclass.getDeclaredFields(), pojo);
}
And finally lets review some example of this JsonDeserializerWithOptions's usage. Assume we have the following models:
private class SimpleModel extends SimpleParentModel {
#JsonDeserializerWithOptions.FieldRequired Long id;
#JsonDeserializerWithOptions.FieldRequired NestedModel nested;
#JsonDeserializerWithOptions.FieldRequired ArrayList<ListModel> list;
}
private class SimpleParentModel {
#JsonDeserializerWithOptions.FieldRequired Integer rev;
}
private class NestedModel extends NestedParentModel {
#JsonDeserializerWithOptions.FieldRequired Long id;
}
private class NestedParentModel {
#JsonDeserializerWithOptions.FieldRequired Integer rev;
}
private class ListModel {
#JsonDeserializerWithOptions.FieldRequired Long id;
}
We can be sure that SimpleModel will be parsed correctly without exceptions in this way:
final Gson gson = new GsonBuilder()
.registerTypeAdapter(SimpleModel.class, new JsonDeserializerWithOptions<SimpleModel>())
.create();
gson.fromJson("{\"list\":[ { \"id\":1 } ], \"id\":1, \"rev\":22, \"nested\": { \"id\":2, \"rev\":2 }}", SimpleModel.class);
Of course, provided solution can be improved and accept more features: for example - validations for nested objects which are not marked with FieldRequired annotation. Currently it's out of answer's scope, but can be added later.
(Inspired by Brian Roache's answer.)
It seems that Brian's answer doesn't work for primitives because the values can be initialized as something other than null (e.g. 0).
Moreover, it seems like the deserializer would have to be registered for every type. A more scalable solution uses TypeAdapterFactory (as below).
In certain circumstances, it is safer to whitelist exceptions from required fields (i.e. as JsonOptional fields) rather than annotating all fields as required.
#Retention(RetentionPolicy.RUNTIME)
#Target(ElementType.FIELD)
public #interface JsonOptional {
}
Though this approach can easily be adapted for required fields instead.
import com.google.gson.Gson;
import com.google.gson.JsonElement;
import com.google.gson.JsonParseException;
import com.google.gson.TypeAdapter;
import com.google.gson.TypeAdapterFactory;
import com.google.gson.internal.Streams;
import com.google.gson.reflect.TypeToken;
import com.google.gson.stream.JsonReader;
import com.google.gson.stream.JsonWriter;
import java.io.IOException;
import java.lang.reflect.Field;
import java.util.ArrayList;
import java.util.Set;
import java.util.stream.Collectors;
import java.util.stream.Stream;
public class AnnotatedTypeAdapterFactory implements TypeAdapterFactory {
#Override
public <T> TypeAdapter<T> create(Gson gson, TypeToken<T> typeToken) {
Class<? super T> rawType = typeToken.getRawType();
Set<Field> requiredFields = Stream.of(rawType.getDeclaredFields())
.filter(f -> f.getAnnotation(JsonOptional.class) == null)
.collect(Collectors.toSet());
if (requiredFields.isEmpty()) {
return null;
}
final TypeAdapter<T> baseAdapter = (TypeAdapter<T>) gson.getAdapter(rawType);
return new TypeAdapter<T>() {
#Override
public void write(JsonWriter jsonWriter, T o) throws IOException {
baseAdapter.write(jsonWriter, o);
}
#Override
public T read(JsonReader in) throws IOException {
JsonElement jsonElement = Streams.parse(in);
if (jsonElement.isJsonObject()) {
ArrayList<String> missingFields = new ArrayList<>();
for (Field field : requiredFields) {
if (!jsonElement.getAsJsonObject().has(field.getName())) {
missingFields.add(field.getName());
}
}
if (!missingFields.isEmpty()) {
throw new JsonParseException(
String.format("Missing required fields %s for %s",
missingFields, rawType.getName()));
}
}
TypeAdapter<T> delegate = gson.getDelegateAdapter(AnnotatedTypeAdapterFactory.this, typeToken);
return delegate.fromJsonTree(jsonElement);
}
};
}
}
This is my simple solution that creates a generic solution with minimum coding.
Create #Optional annotation
Mark First Optional. Rest are assumed optional. Earlier are assumed required.
Create a generic 'loader' method that checks that source Json object has a value. The loop stops once an #Optional field is encountered.
I am using subclassing so the grunt work is done in the superclass.
Here is the superclass code.
import com.google.gson.Gson;
import java.lang.reflect.Field;
import java.lang.annotation.Annotation;
import java.lang.annotation.ElementType;
import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;
...
#Retention(RetentionPolicy.RUNTIME)
#Target(ElementType.FIELD)
public #interface Optional {
public boolean enabled() default true;
}
and the grunt work method
#SuppressWarnings ("unchecked")
public <T> T payload(JsonObject oJR,Class<T> T) throws Exception {
StringBuilder oSB = new StringBuilder();
String sSep = "";
Object o = gson.fromJson(oJR,T);
// Ensure all fields are populated until we reach #Optional
Field[] oFlds = T.getDeclaredFields();
for(Field oFld:oFlds) {
Annotation oAnno = oFld.getAnnotation(Optional.class);
if (oAnno != null) break;
if (!oJR.has(oFld.getName())) {
oSB.append(sSep+oFld.getName());
sSep = ",";
}
}
if (oSB.length() > 0) throw CVT.e("Required fields "+oSB+" mising");
return (T)o;
}
and an example of usage
public static class Payload {
String sUserType ;
String sUserID ;
String sSecpw ;
#Optional
String sUserDev ;
String sUserMark ;
}
and the populating code
Payload oPL = payload(oJR,Payload.class);
In this case sUserDev and sUserMark are optional and the rest required. The solution relies on the fact that the class stores the Field definitions in the declared order.
I searched a lot and found no good answer. The solution I chose is as follows:
Every field that I need to set from JSON is an object, i.e. boxed Integer, Boolean, etc. Then, using reflection, I can check that the field is not null:
public class CJSONSerializable {
public void checkDeserialization() throws IllegalAccessException, JsonParseException {
for (Field f : getClass().getDeclaredFields()) {
if (f.get(this) == null) {
throw new JsonParseException("Field " + f.getName() + " was not initialized.");
}
}
}
}
From this class, I can derive my JSON object:
public class CJSONResp extends CJSONSerializable {
#SerializedName("Status")
public String status;
#SerializedName("Content-Type")
public String contentType;
}
and then after parsing with GSON, I can call checkDeserialization and it will report me if some of the fields is null.
I can't figure out the magic words to allow posting JSON for a DateTime field in my app. When queried, DateTimes are returned as microseconds since the epoch. When I try to post in that format though ({"started":"1341006642000","task":{"id":1}}), I get "Invalid value: started".
I also tried adding #play.data.format.Formats.DateTime(pattern="yyyy-MM-dd HH:mm:ss") to the started field and posting {"started":"2012-07-02 09:24:45","task":{"id":1}} which had the same result.
The controller method is:
#BodyParser.Of(play.mvc.BodyParser.Json.class)
public static Result create(Long task_id) {
Form<Run> runForm = form(Run.class).bindFromRequest();
for (String key : runForm.data().keySet()) {
System.err.println(key + " => " + runForm.apply(key).value() + "\n");
}
if (runForm.hasErrors())
return badRequest(runForm.errorsAsJson());
Run run = runForm.get();
run.task = Task.find.byId(task_id);
run.save();
ObjectNode result = Json.newObject();
result.put("id", run.id);
return ok(result);
}
I can also see from the output that the values are being received correctly. Anyone know how to make this work?
After reading the "Register a custom DataBinder" section of the Handling form submission page along with the Application global settings page and comparing with this question I came up with the following solution:
I created a custom annotation with an optional format attribute:
package models;
import java.lang.annotation.*;
#Target({ ElementType.FIELD })
#Retention(RetentionPolicy.RUNTIME)
#play.data.Form.Display(name = "format.joda.datetime", attributes = { "format" })
public #interface JodaDateTime {
String format() default "";
}
and registered a custom formatter from onStart:
import java.text.ParseException;
import java.util.Locale;
import org.joda.time.DateTime;
import org.joda.time.format.DateTimeFormat;
import play.*;
import play.data.format.Formatters;
public class Global extends GlobalSettings {
#Override
public void onStart(Application app) {
Formatters.register(DateTime.class, new Formatters.AnnotationFormatter<models.JodaDateTime,DateTime>() {
#Override
public DateTime parse(models.JodaDateTime annotation, String input, Locale locale) throws ParseException {
if (input == null || input.trim().isEmpty())
return null;
if (annotation.format().isEmpty())
return new DateTime(Long.parseLong(input));
else
return DateTimeFormat.forPattern(annotation.format()).withLocale(locale).parseDateTime(input);
}
#Override
public String print(models.JodaDateTime annotation, DateTime time, Locale locale) {
if (time == null)
return null;
if (annotation.format().isEmpty())
return time.getMillis() + "";
else
return time.toString(annotation.format(), locale);
}
});
}
}
You can specify a format if you want, or it will use milliseconds since the epoch by default. I was hoping there would be a simpler way since Joda is included with the Play distribution, but this got things working.
Note: you'll need to restart your Play app as it doesn't seem to detect changes to the Global class.