All Downloads are FREE. Search and download functionalities are using the official Maven repository.
Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance.
Project price only 1 $
You can buy this project and download/modify it how often you want.
com.fasterxml.jackson.databind.deser.std.UntypedObjectDeserializer Maven / Gradle / Ivy
General data-binding functionality for Jackson: works on core streaming API
package com.fasterxml.jackson.databind.deser.std;
import java.io.IOException;
import java.util.*;
import com.fasterxml.jackson.core.*;
import com.fasterxml.jackson.databind.DeserializationContext;
import com.fasterxml.jackson.databind.DeserializationFeature;
import com.fasterxml.jackson.databind.annotation.JacksonStdImpl;
import com.fasterxml.jackson.databind.jsontype.TypeDeserializer;
import com.fasterxml.jackson.databind.util.ObjectBuffer;
/**
* Deserializer implementation that is used if it is necessary to bind content of
* "unknown" type; something declared as basic {@link java.lang.Object}
* (either explicitly, or due to type erasure).
* If so, "natural" mapping is used to convert JSON values to their natural
* Java object matches: JSON arrays to Java {@link java.util.List}s (or, if configured,
* Object[]), JSON objects to {@link java.util.Map}s, numbers to
* {@link java.lang.Number}s, booleans to {@link java.lang.Boolean}s and
* strings to {@link java.lang.String} (and nulls to nulls).
*/
@JacksonStdImpl
public class UntypedObjectDeserializer
extends StdDeserializer
{
private final static Object[] NO_OBJECTS = new Object[0];
public UntypedObjectDeserializer() { super(Object.class); }
/*
/**********************************************************
/* Deserializer API
/**********************************************************
*/
@Override
public Object deserialize(JsonParser jp, DeserializationContext ctxt)
throws IOException, JsonProcessingException
{
switch (jp.getCurrentToken()) {
case START_OBJECT:
return mapObject(jp, ctxt);
case END_OBJECT: // invalid
break;
case START_ARRAY:
return mapArray(jp, ctxt);
case END_ARRAY: // invalid
break;
case FIELD_NAME:
return mapObject(jp, ctxt);
case VALUE_EMBEDDED_OBJECT:
return jp.getEmbeddedObject();
case VALUE_STRING:
return jp.getText();
case VALUE_NUMBER_INT:
/* [JACKSON-100]: caller may want to get all integral values
* returned as BigInteger, for consistency
*/
if (ctxt.isEnabled(DeserializationFeature.USE_BIG_INTEGER_FOR_INTS)) {
return jp.getBigIntegerValue(); // should be optimal, whatever it is
}
return jp.getNumberValue(); // should be optimal, whatever it is
case VALUE_NUMBER_FLOAT:
/* [JACKSON-72]: need to allow overriding the behavior regarding
* which type to use
*/
if (ctxt.isEnabled(DeserializationFeature.USE_BIG_DECIMAL_FOR_FLOATS)) {
return jp.getDecimalValue();
}
return Double.valueOf(jp.getDoubleValue());
case VALUE_TRUE:
return Boolean.TRUE;
case VALUE_FALSE:
return Boolean.FALSE;
case VALUE_NULL: // should not get this but...
return null;
}
throw ctxt.mappingException(Object.class);
}
@Override
public Object deserializeWithType(JsonParser jp, DeserializationContext ctxt,
TypeDeserializer typeDeserializer)
throws IOException, JsonProcessingException
{
JsonToken t = jp.getCurrentToken();
switch (t) {
// First: does it look like we had type id wrapping of some kind?
case START_ARRAY:
case START_OBJECT:
case FIELD_NAME:
/* Output can be as JSON Object, Array or scalar: no way to know
* a this point:
*/
return typeDeserializer.deserializeTypedFromAny(jp, ctxt);
/* Otherwise we probably got a "native" type (ones that map
* naturally and thus do not need or use type ids)
*/
case VALUE_STRING:
return jp.getText();
case VALUE_NUMBER_INT:
// For [JACKSON-100], see above:
if (ctxt.isEnabled(DeserializationFeature.USE_BIG_INTEGER_FOR_INTS)) {
return jp.getBigIntegerValue();
}
/* and as per [JACKSON-839], allow "upgrade" to bigger types: out-of-range
* entries can not be produced without type, so this should "just work",
* even if it is bit unclean
*/
return jp.getNumberValue();
case VALUE_NUMBER_FLOAT:
// For [JACKSON-72], see above
if (ctxt.isEnabled(DeserializationFeature.USE_BIG_DECIMAL_FOR_FLOATS)) {
return jp.getDecimalValue();
}
return Double.valueOf(jp.getDoubleValue());
case VALUE_TRUE:
return Boolean.TRUE;
case VALUE_FALSE:
return Boolean.FALSE;
case VALUE_EMBEDDED_OBJECT:
return jp.getEmbeddedObject();
case VALUE_NULL: // should not get this far really but...
return null;
}
throw ctxt.mappingException(Object.class);
}
/*
/**********************************************************
/* Internal methods
/**********************************************************
*/
/**
* Method called to map a JSON Array into a Java value.
*/
protected Object mapArray(JsonParser jp, DeserializationContext ctxt)
throws IOException, JsonProcessingException
{
if (ctxt.isEnabled(DeserializationFeature.USE_JAVA_ARRAY_FOR_JSON_ARRAY)) {
return mapArrayToArray(jp, ctxt);
}
// Minor optimization to handle small lists (default size for ArrayList is 10)
if (jp.nextToken() == JsonToken.END_ARRAY) {
return new ArrayList(4);
}
ObjectBuffer buffer = ctxt.leaseObjectBuffer();
Object[] values = buffer.resetAndStart();
int ptr = 0;
int totalSize = 0;
do {
Object value = deserialize(jp, ctxt);
++totalSize;
if (ptr >= values.length) {
values = buffer.appendCompletedChunk(values);
ptr = 0;
}
values[ptr++] = value;
} while (jp.nextToken() != JsonToken.END_ARRAY);
// let's create almost full array, with 1/8 slack
ArrayList result = new ArrayList(totalSize + (totalSize >> 3) + 1);
buffer.completeAndClearBuffer(values, ptr, result);
return result;
}
/**
* Method called to map a JSON Object into a Java value.
*/
protected Object mapObject(JsonParser jp, DeserializationContext ctxt)
throws IOException, JsonProcessingException
{
JsonToken t = jp.getCurrentToken();
if (t == JsonToken.START_OBJECT) {
t = jp.nextToken();
}
// 1.6: minor optimization; let's handle 1 and 2 entry cases separately
if (t != JsonToken.FIELD_NAME) { // and empty one too
// empty map might work; but caller may want to modify... so better just give small modifiable
return new LinkedHashMap(4);
}
String field1 = jp.getText();
jp.nextToken();
Object value1 = deserialize(jp, ctxt);
if (jp.nextToken() != JsonToken.FIELD_NAME) { // single entry; but we want modifiable
LinkedHashMap result = new LinkedHashMap(4);
result.put(field1, value1);
return result;
}
String field2 = jp.getText();
jp.nextToken();
Object value2 = deserialize(jp, ctxt);
if (jp.nextToken() != JsonToken.FIELD_NAME) {
LinkedHashMap result = new LinkedHashMap(4);
result.put(field1, value1);
result.put(field2, value2);
return result;
}
// And then the general case; default map size is 16
LinkedHashMap result = new LinkedHashMap();
result.put(field1, value1);
result.put(field2, value2);
do {
String fieldName = jp.getText();
jp.nextToken();
result.put(fieldName, deserialize(jp, ctxt));
} while (jp.nextToken() != JsonToken.END_OBJECT);
return result;
}
/**
* Method called to map a JSON Array into a Java Object array (Object[]).
*/
protected Object[] mapArrayToArray(JsonParser jp, DeserializationContext ctxt)
throws IOException, JsonProcessingException
{
// Minor optimization to handle small lists (default size for ArrayList is 10)
if (jp.nextToken() == JsonToken.END_ARRAY) {
return NO_OBJECTS;
}
ObjectBuffer buffer = ctxt.leaseObjectBuffer();
Object[] values = buffer.resetAndStart();
int ptr = 0;
do {
Object value = deserialize(jp, ctxt);
if (ptr >= values.length) {
values = buffer.appendCompletedChunk(values);
ptr = 0;
}
values[ptr++] = value;
} while (jp.nextToken() != JsonToken.END_ARRAY);
return buffer.completeAndClearBuffer(values, ptr);
}
}
