I have seen answers like this one that show the use of TypeFactory.constructMapType(...) to de-serialise a JSON string to a map where the key/value combinations are other than String
. I have a situation where I have strings that should de-serialise to multiple different types, not just one.
I realise that one solution would be define my own class and not use Map
, but I am wondering if I can use pure configuration instead?
Here is my test code.
import java.util.HashMap;
import java.util.Map;
import java.util.stream.Collectors;
import org.joda.time.DateTime;
import org.joda.time.DateTimeZone;
import org.joda.time.LocalDateTime;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.type.MapType;
import com.fasterxml.jackson.databind.type.TypeFactory;
import com.fasterxml.jackson.datatype.joda.JodaModule;
public class JodaTimeMapTest {
public static void main(final String[] args) throws Exception {
// Map with dates.
final DateTime now = new DateTime().withZone(DateTimeZone.UTC);
final LocalDateTime nowLocal = new LocalDateTime();
final LocalDateTime notNowLocal = new LocalDateTime(2007, 3, 25, 2, 30, 0);
final Map<String, Object> dateMap = new HashMap<>();
dateMap.put("now", now);
dateMap.put("nowLocal", nowLocal);
dateMap.put("notNowLocal", notNowLocal);
// Serialise map to string.
final ObjectMapper mapper = mapper();
final String dateMapJson = mapper.writeValueAsString(dateMap);
// De-serialise string to map.
final TypeFactory typeFactory = mapper.getTypeFactory();
final MapType mapType = typeFactory.constructMapType(HashMap.class, String.class, Object.class);
final HashMap<String, Object> dateMapFromJson = mapper.readValue(dateMapJson, mapType);
// First one has dates, second has strings.
printMap(dateMap);
printMap(dateMapFromJson);
}
private static void printMap(final Map<String, Object> map) {
System.out.println(map.entrySet().stream().map(entry -> {
return entry.getKey() + ", type = " + entry.getValue().getClass().getName() + ", value = " + entry.getValue();
}).collect(Collectors.joining(System.lineSeparator())));
}
private static ObjectMapper mapper() {
final ObjectMapper mapper = new ObjectMapper();
mapper.registerModule(new JodaModule());
mapper.configure(com.fasterxml.jackson.databind.SerializationFeature.WRITE_DATES_AS_TIMESTAMPS, false);
return mapper;
}
}
The output of this class shows that reading in, Jakcson can only assume these are strings:
now, type = org.joda.time.DateTime, value = 2018-05-04T09:10:26.063Z
notNowLocal, type = org.joda.time.LocalDateTime, value = 2007-03-25T02:30:00.000
nowLocal, type = org.joda.time.LocalDateTime, value = 2018-05-04T19:10:26.193
now, type = java.lang.String, value = 2018-05-04T09:10:26.063Z
notNowLocal, type = java.lang.String, value = 2007-03-25T02:30:00.000
nowLocal, type = java.lang.String, value = 2018-05-04T19:10:26.193
Sample Solution
Based on the answer aussie gave, here is a solution that works for me. In my example, the map key
is all I need to determine what sort of Joda date/time class the value
is.
First is my implementation of the de-serialiser aussie told me about.
import java.io.IOException;
import java.util.Arrays;
import java.util.List;
import java.util.stream.Stream;
import org.joda.time.DateTime;
import org.joda.time.LocalDateTime;
import com.fasterxml.jackson.core.JsonParser;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.DeserializationContext;
import com.fasterxml.jackson.databind.deser.std.StdDeserializer;
/** De-serialise values from a map that contains Joda times and strings. */
public class JodaMapDeserialiser extends StdDeserializer<Object> {
/** Mapping between keys in the map to a type of Joda time. */
enum DateType {
DATE_TIME("now"), LOCAL_DATE_TIME("notNowLocal", "nowLocal");
final List<String> keys;
DateType(final String... keys) {
this.keys = Arrays.asList(keys);
}
public static DateType forKeyString(final String keyString) {
return Stream.of(values()).filter(dateTypes -> dateTypes.keys.contains(keyString)) //
.findFirst().orElse(null);
}
}
public JodaMapDeserialiser() {
super(Object.class);
}
@Override
public Object deserialize(final JsonParser p, final DeserializationContext ctxt)
throws IOException, JsonProcessingException {
// Each entry in the map has a key and value.
final String value = p.readValueAs(String.class);
final String key = p.getCurrentName();
// Convert the value depending on what the key is.
switch (DateType.forKeyString(key)) {
case DATE_TIME:
return DateTime.parse(value);
case LOCAL_DATE_TIME:
return LocalDateTime.parse(value);
default:
return value;
}
}
}
And here is some slightly revised testing code.
import java.util.HashMap;
import java.util.Map;
import java.util.stream.Collectors;
import org.joda.time.DateTime;
import org.joda.time.DateTimeZone;
import org.joda.time.LocalDateTime;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.module.SimpleModule;
import com.fasterxml.jackson.databind.type.MapType;
import com.fasterxml.jackson.databind.type.TypeFactory;
import com.fasterxml.jackson.datatype.joda.JodaModule;
public class JodaTimeMapTest {
public static void main(final String[] args) throws Exception {
// Map with dates.
final DateTime now = new DateTime().withZone(DateTimeZone.UTC);
final LocalDateTime nowLocal = new LocalDateTime();
final LocalDateTime notNowLocal = new LocalDateTime(2007, 3, 25, 2, 30, 0);
final Map<String, Object> dateMap = new HashMap<>();
dateMap.put("now", now);
dateMap.put("nowLocal", nowLocal);
dateMap.put("notNowLocal", notNowLocal);
// Serialise map to string.
final ObjectMapper mapper = mapper();
final String dateMapJson = mapper.writeValueAsString(dateMap);
// De-serialise string to map.
final TypeFactory typeFactory = mapper.getTypeFactory();
final MapType mapType = typeFactory.constructMapType(HashMap.class, String.class, Object.class);
final HashMap<String, Object> dateMapFromJson = mapper.readValue(dateMapJson, mapType);
// First one has dates, second has strings.
System.out.println("Actual map.");
printMap(dateMap);
System.out.println("Map de-serialised from JSON.");
printMap(dateMapFromJson);
System.out.println("Maps are equal: " + dateMap.equals(dateMapFromJson));
}
private static void printMap(final Map<String, Object> map) {
System.out.println(map.entrySet().stream().map(entry -> {
return " " + entry.getKey() + ", type = " + entry.getValue().getClass().getName() + ", value = "
+ entry.getValue();
}).collect(Collectors.joining(System.lineSeparator())));
}
private static ObjectMapper mapper() {
final ObjectMapper mapper = new ObjectMapper();
mapper.registerModule(new JodaModule());
mapper.configure(com.fasterxml.jackson.databind.SerializationFeature.WRITE_DATES_AS_TIMESTAMPS, false);
final SimpleModule dateDeserializerModule = new SimpleModule();
dateDeserializerModule.addDeserializer(Object.class, new JodaMapDeserialiser());
mapper.registerModule(dateDeserializerModule);
return mapper;
}
}
And the output is:
Actual map.
now, type = org.joda.time.DateTime, value = 2018-05-05T04:03:20.684Z
notNowLocal, type = org.joda.time.LocalDateTime, value = 2007-03-25T02:30:00.000
nowLocal, type = org.joda.time.LocalDateTime, value = 2018-05-05T14:03:20.809
Map de-serialised from JSON.
now, type = org.joda.time.DateTime, value = 2018-05-05T04:03:20.684Z
notNowLocal, type = org.joda.time.LocalDateTime, value = 2007-03-25T02:30:00.000
nowLocal, type = org.joda.time.LocalDateTime, value = 2018-05-05T14:03:20.809
Maps are equal: true
Finally, my maven dependencies (joda time is included in jackson-datatype-joda
).
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-core</artifactId>
<version>2.9.5</version>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.datatype</groupId>
<artifactId>jackson-datatype-joda</artifactId>
<version>2.9.5</version>
</dependency>
Other options
Overall, the options I found:
- Create type definition for a single type combination:
Hashmap
withString
keys andDateTime
values. - Create a custom class to map key/values to.
- Create a de-serialiser to define rules for how to translate string to object.
To further explore the different options I found, I wrote up this blog post.