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Data Mapper package is a high-performance data binding package
built on Jackson JSON processor
package org.codehaus.jackson.map.deser.std;
import java.io.IOException;
import org.codehaus.jackson.Base64Variants;
import org.codehaus.jackson.JsonParser;
import org.codehaus.jackson.JsonProcessingException;
import org.codehaus.jackson.JsonToken;
import org.codehaus.jackson.map.DeserializationContext;
import org.codehaus.jackson.map.TypeDeserializer;
import org.codehaus.jackson.map.annotate.JacksonStdImpl;
@JacksonStdImpl
public class StringDeserializer
extends StdScalarDeserializer
{
public StringDeserializer() { super(String.class); }
@Override
public String deserialize(JsonParser jp, DeserializationContext ctxt)
throws IOException, JsonProcessingException
{
JsonToken curr = jp.getCurrentToken();
// Usually should just get string value:
if (curr == JsonToken.VALUE_STRING) {
return jp.getText();
}
// [JACKSON-330]: need to gracefully handle byte[] data, as base64
if (curr == JsonToken.VALUE_EMBEDDED_OBJECT) {
Object ob = jp.getEmbeddedObject();
if (ob == null) {
return null;
}
if (ob instanceof byte[]) {
return Base64Variants.getDefaultVariant().encode((byte[]) ob, false);
}
// otherwise, try conversion using toString()...
return ob.toString();
}
// Can deserialize any scalar value, but not markers
if (curr.isScalarValue()) {
return jp.getText();
}
throw ctxt.mappingException(_valueClass, curr);
}
// 1.6: since we can never have type info ("natural type"; String, Boolean, Integer, Double):
// (is it an error to even call this version?)
@Override
public String deserializeWithType(JsonParser jp, DeserializationContext ctxt,
TypeDeserializer typeDeserializer)
throws IOException, JsonProcessingException
{
return deserialize(jp, ctxt);
}}