Java：JSON反序列化将小写转换为camelCase
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【中文标题】Java：JSON反序列化将小写转换为camelCase【英文标题】：Java : JSON Deserilization to convert the lower_case to camelCase 【发布时间】：2021-11-04 00:53:28 【问题描述】：我正在尝试将我的 json 字符串中的键转换为 camelCase..我已经浏览了 *** 中的各种帖子，但无法找到解决方案..
我有一个以下格式的 json 字符串..
"tech":[
"id":"1",
"company_name":"Microsoft",
"country_of_origin":"USA"
,
"id":"2",
"company_name":"SAP",
"country_of_origin":"Germany"
],
"Manufacturing":[
"id":"3",
"company_name":"GM",
"country_of_origin":"USA"
,
"id":"4",
"company_name":"BMW",
"country_of_origin":"Germany"
]
预期响应
"tech":[
"id":"1",
"companyName":"Microsoft",
"countryOfOrigin":"USA"
,
"id":"2",
"companyName":"SAP",
"countryOfOrigin":"Germany"
],
"Manufacturing":[
"id":"3",
"companyName":"GM",
"countryOfOrigin":"USA"
,
"id":"4",
"companyName":"BMW",
"countryOfOrigin":"Germany"
]
我已经根据 *** 中的上一篇文章编写了一个 jsonDeserializer 类..
Gson gson = new GsonBuilder()
.registerTypeAdapter(UpperCaseAdapter.TYPE, new UpperCaseAdapter())
.create();
Map<String, List<Company>> mapDeserialized = gson.fromJson(jsonString, UpperCaseAdapter.TYPE);
System.out.println(mapDeserialized);
还有脱硫剂
public class UpperCaseAdapter implements JsonDeserializer<Map<String, Object>>
public static final Type TYPE = new TypeToken<Map<String, Object>>() .getType();
@Override
public Map<String, Object> deserialize(JsonElement json, Type typeOfT, JsonDeserializationContext context) throws JsonParseException
Map<String, Object> map = new HashMap<>();
for (Map.Entry<String, JsonElement> entry : json.getAsJsonObject().entrySet())
Object value = null;
if (entry.getValue().isJsonPrimitive())
value = entry.getValue().getAsString();
else if (entry.getValue().isJsonObject())
value = context.deserialize(entry.getValue(), TYPE);
else if (entry.getValue().isJsonArray())
for(JsonElement jsonElement:entry.getValue().getAsJsonArray())
value=context.deserialize(jsonElement,TYPE);
else if (entry.getValue().isJsonNull())
continue;
map.put(CaseFormat.LOWER_UNDERSCORE.to(
CaseFormat.LOWER_CAMEL, entry.getKey()), value);
return map;
模型类
public class Company
private String id;
private String compnayName;
private String countryOfOrigin;
当我使用上述解串器时，虽然它能够将某些 json 数组对象的键转换为 camle 大小写....我可以看到它只对每个数组中的一个 jsonobject 执行此操作，而不采用其他数组对象在考虑中。如下图。
Wrong Response i am getting with above serializer(missing other jsonobjecsts and the key manufacturing is converted to lower):
"tech="
"companyName=SAP",
id=2,
"countryOfOrigin=Germany"
,
"manufacturing="
"companyName=BMW",
id=4,
"countryOfOrigin=Germany"
我知道 *** 中有很多可用的帖子，我只能基于这些帖子，但由于我是 Java 和 json 序列化的新手，我无法再进步......这方面的任何帮助都很大提前感谢感谢
【问题讨论】：
嗨，非常感谢您的帮助？？ 【参考方案1】：您可以使用以下代码获取CamelCase字符串；
static public class Company
private String id;
private String companyName;
private String countryOfOrigin;
public Company()
public String getId()
return id;
public void setId(String id)
this.id = id;
public String getCompanyName()
return companyName;
public void setCompanyName(String companyName)
this.companyName = companyName;
public String getCountryOfOrigin()
return countryOfOrigin;
public void setCountryOfOrigin(String countryOfOrigin)
this.countryOfOrigin = countryOfOrigin;
@Test
void t4() throws JsonProcessingException
ObjectMapper mapperSC = new ObjectMapper();
mapperSC.setPropertyNamingStrategy(PropertyNamingStrategies.SNAKE_CASE);
ObjectMapper mapper = new ObjectMapper();
mapper.setPropertyNamingStrategy(PropertyNamingStrategies.LOWER_CAMEL_CASE);
String data = " " +
" \"tech\":[ " +
" " +
" \"id\":\"1\", " +
" \"company_name\":\"Microsoft\", " +
" \"country_of_origin\":\"USA\" " +
" , " +
" " +
" \"id\":\"2\", " +
" \"company_name\":\"SAP\", " +
" \"country_of_origin\":\"Germany\" " +
" " +
" ], " +
" \"Manufacturing\":[ " +
" " +
" \"id\":\"3\", " +
" \"company_name\":\"GM\", " +
" \"country_of_origin\":\"USA\" " +
" , " +
" " +
" \"id\":\"4\", " +
" \"company_name\":\"BMW\", " +
" \"country_of_origin\":\"Germany\" " +
" " +
" ] " +
"";
TypeFactory tf = mapper.getTypeFactory();
JavaType jt = tf.constructMapType(Map.class, tf.constructType(String.class), tf.constructArrayType(Company.class));
Object o = mapperSC.readValue(data, jt);
System.out.println(mapper.writerWithDefaultPrettyPrinter().writeValueAsString(o));
输出将是；
"tech" : [
"id" : "1",
"companyName" : "Microsoft",
"countryOfOrigin" : "USA"
,
"id" : "2",
"companyName" : "SAP",
"countryOfOrigin" : "Germany"
],
"Manufacturing" : [
"id" : "3",
"companyName" : "GM",
"countryOfOrigin" : "USA"
,
"id" : "4",
"companyName" : "BMW",
"countryOfOrigin" : "Germany"
]
【讨论】：
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