我有这个 Json 内容:
{
"people":[
{
"name":"test1",
"sirname":"test2",
"details":{
"social_no":1234567,
"creadit_card_no":34582342309
}
},
{
"name":"test3",
"sirname":"test4",
"details":{
"social_no":12345679,
"creadit_card_no":345823423090
}
}
]
}
根据逻辑，这个 Json 应该有 3 个 POJO 类:一个包含 People 列表、People 对象和一个 Details 对象的类。
现在我的问题是，是否可以使用 Jackson 反序列化此 Json，或者如果无法使用 Jackson 反序列化，则使用 GSON 库？一个包含 People 列表，另一个包含以下结构，例如 Human 类:
public class Human{
String name;
String sirname;
String social_no;
String creadit_card_no;
//..getters and setters
//should correspond with this json fragment:
// {
// "name":"test1",
// "sirname":"test2",
// "details":{
// "social_no":1234567,
// "creadit_card_no":34582342309
// }
}
}
如果这是可能的，我该怎么做？
更新
我的实际 json 结构与此处给出的示例不同，因此 here is the original json
所以我自己创建了一个TypeAdapter，这是此类的代码:
public class PlanTypeAdapter extends TypeAdapter<Plan> {
private final String TAG = PlanTypeAdapter.class.getSimpleName();
@Override
public void write(JsonWriter out, Plan value) throws IOException {
Log.d(TAG, "WRITE");
}
@Override
public Plan read(JsonReader reader) throws IOException {
Log.d(TAG, "READ");
Plan plan = new Plan();
if (reader.peek() == JsonToken.NULL) {
reader.nextNull();
return null;
}
reader.setLenient(false);
while (reader.hasNext()) {
Log.d(TAG, "PATH: " + reader.getPath());
Log.d(TAG, "PEEK: " + reader.peek());
if (reader.peek() == JsonToken.BEGIN_OBJECT) {
Log.d(TAG, "BEGIN object, path: " + reader.getPath());
reader.beginObject();
} else if (reader.peek() == JsonToken.NULL) {
Log.d(TAG, "NULL");
reader.skipValue();
} else if (reader.peek() == JsonToken.END_ARRAY) {
Log.d(TAG, "END ARRAY");
if (reader.getPath().contains("retailer")) {
reader.endObject();
} else {
reader.endArray();
}
} else if (reader.peek() == JsonToken.END_OBJECT) {
reader.endObject();
Log.d(TAG, "END object, path: " + reader.getPath());
} else if (reader.peek() == JsonToken.NUMBER) {
Log.d(TAG, "NUMBER " + reader.getPath());
} else if (reader.peek() == JsonToken.BOOLEAN) {
Log.d(TAG, "BOOLEAN " + reader.getPath());
} else if (reader.peek() == JsonToken.NAME) {
switch (reader.nextName()) {
case "retailer":
reader.beginObject();
Log.d(TAG, "RET");
break;
case "national_plan":
reader.beginObject();
Log.d(TAG, "NPlan");
break;
case "name":
if (reader.getPath().contains("retailer")) {
plan.setRetailer_name(reader.nextString());
reader.skipValue();
reader.skipValue();
reader.endObject();
} else {
reader.skipValue();
}
break;
case "contract_end":
plan.setContract_end(reader.nextString());
break;
case "data_level_gb":
plan.setData_level_gb(reader.nextString());
break;
case "data_level_id":
plan.setData_level_id(reader.nextInt());
break;
case "days_to_end":
plan.setDays_to_switch(reader.nextInt());
break;
case "direct_from_operator":
plan.setDirect_from_operator(reader.nextBoolean());
break;
case "calculation_amount":
plan.setCalculationAmount(reader.nextDouble());
break;
case "network_generation_name":
plan.setNetwork_generation_(reader.nextString());
break;
case "partner_plan_id":
plan.setPartner_plan_id(reader.nextString());
break;
case "payment_level":
plan.setPayment_level(reader.nextString());
break;
case "payment_level_id":
plan.setPayment_level_id(reader.nextInt());
break;
case "roaming_amount":
plan.setRoaming_amount(reader.nextDouble());
break;
case "savings_amount":
plan.setSavings_amount(reader.nextDouble());
break;
case "savings_avg":
plan.setSavings_avg(reader.nextDouble());
break;
case "savings_percents":
plan.setSavings_percents(reader.nextInt());
break;
default:
Log.d(TAG, "DEFAULT " + reader.peek() + "");
reader.skipValue();
break;
}
} else {
reader.skipValue();
}
}
return plan;
}
}
最佳答案
如果您有一个非常非常大的文件，我建议使用 Gson 使用自定义反序列化器来执行此操作，但我不会使用 JsonDeserializer 接口(interface)；使用 TypeAdapter 接口(interface)，因为它的性能更高 ( source )。我认为@codemonkey有一个非常好的答案，但它过于复杂，而且可以更简单地完成。具体来说，您永远不应该自己构建这些字符串(使用 sb.append())，并且应该远离 JsonDeserializer。
首先，创建自定义TypeAdapter
public class PersonTypeAdapter extends TypeAdapter<Person> {
@Override
public void write(JsonWriter out, Person value) throws IOException {
if (value == null) {
out.nullValue();
return;
}
out.beginObject();
out.name("name").value(value.name);
out.name("sirname").value(value.sirname);
out.name("details");
out.beginObject();
out.name("social_no").value(value.social_no);
out.name("creadit_card_no").value(value.creadit_card_no);
out.endObject();
out.endObject();
}
@Override
public Person read(JsonReader reader) throws IOException {
if (reader.peek() == JsonToken.NULL) {
reader.nextNull();
return null;
}
reader.beginObject();
validateName(reader, "name");
String name = reader.nextString();
validateName(reader, "sirname");
String sirname = reader.nextString();
validateName(reader, "details");
reader.beginObject();
validateName(reader, "social_no");
String social_no = reader.nextString();
validateName(reader, "creadit_card_no");
String creadit_card_no = reader.nextString();
reader.endObject();
reader.endObject();
return new Person(name, sirname, social_no, creadit_card_no);
}
private void validateName(JsonReader reader, String string) throws IOException {
String name = reader.nextName();
if(!string.equals(name)) {
throw new JsonSyntaxException("Expected: \"" + string + "\", got \"" + name + "\"");
}
}
}
而且，你的 POJO，显然是:
public class Person {
public final String name;
public final String sirname;
public final String social_no;
public final String creadit_card_no;
public Person(String name, String sirname, String social_no,
String creadit_card_no) {
this.name = name;
this.sirname = sirname;
this.social_no = social_no;
this.creadit_card_no = creadit_card_no;
}
@Override
public String toString() {
return String.format(
"Person [name=%s, sirname=%s, social_no=%s, creadit_card_no=%s]", name,
sirname, social_no, creadit_card_no);
}
}
然后，您可以使用此处的方法从文件中解析 Json。 /test.json 只是您在问题中给出的示例。
import java.io.InputStreamReader;
import java.io.Reader;
import java.util.List;
import com.google.gson.Gson;
import com.google.gson.GsonBuilder;
import com.google.gson.annotations.SerializedName;
public class PersonExample {
public static void main(String... args) {
InputStreamReader streamReader = new InputStreamReader(
PersonExample.class.getResourceAsStream("/test.json"));
PeopleWrapper wrapper = parseJSON(streamReader);
System.out.println(wrapper.people);
}
public static class PeopleWrapper {
@SerializedName("people")
public List<Person> people;
}
public static PeopleWrapper parseJSON(Reader jsonInput) {
GsonBuilder builder = new GsonBuilder();
builder.registerTypeAdapter(Person.class, new PersonTypeAdapter());
Gson gson = builder.create();
PeopleWrapper peopleWrapper = gson.fromJson(jsonInput, PeopleWrapper.class);
return peopleWrapper;
}
}
该程序输出:
[Person [name=test1, sirname=test2, social_no=1234567, creadit_card_no=34582342309], Person [name=test3, sirname=test4, social_no=12345679, creadit_card_no=345823423090]]
所以你的实际问题比你最初描述的问题要复杂得多。我将向您展示您需要的 TypeAdapter 的框架，您可以弄清楚其余的内容。基本上，按照您所做的那样创建 Plan 对象，然后为每个外部 JSON 键处理值。
- 如果是一行，只需在
switch语句中处理即可。 - 如果是数组或对象，创建一个辅助方法来解析 JSON 的该部分。
您应该假设 JSON 格式良好，如果不是，则让 Gson 抛出异常。只需告诉它期待接下来会发生什么。
这里有一些代码可以向您展示这个想法:
import java.io.IOException;
import com.google.gson.*;
import com.google.gson.stream.*;
public class PlanTypeAdapter extends TypeAdapter<Plan> {
private final String TAG = PlanTypeAdapter.class.getSimpleName();
@Override
public void write(JsonWriter out, Plan value) throws IOException {
Log.d(TAG, "WRITE");
}
@Override
public Plan read(JsonReader reader) throws IOException {
Log.d(TAG, "READ");
Plan plan = new Plan();
if (reader.peek() == JsonToken.NULL) {
reader.nextNull();
return null;
}
reader.setLenient(false);
reader.beginObject();
while (!(reader.peek() == JsonToken.END_OBJECT)) {
switch (reader.nextName()) {
case "national_plan":
handleNationalPlan(reader, plan);
break;
case "bill_total":
handleBillTotal(reader, plan);
break;
case "contract_end":
plan.setContract_end(reader.nextString());
break;
case "data_level_gb":
plan.setData_level_gb(reader.nextString());
break;
case "data_level_id":
plan.setData_level_id(reader.nextInt());
break;
case "days_to_end":
plan.setDays_to_switch(reader.nextInt());
break;
case "direct_from_operator":
plan.setDirect_from_operator(reader.nextBoolean());
break;
case "calculation_amount":
plan.setCalculationAmount(reader.nextDouble());
break;
case "network_generation_name":
plan.setNetwork_generation_(reader.nextString());
break;
case "partner_plan_id":
plan.setPartner_plan_id(reader.nextString());
break;
case "payment_level":
plan.setPayment_level(reader.nextString());
break;
case "payment_level_id":
plan.setPayment_level_id(reader.nextInt());
break;
case "roaming_amount":
plan.setRoaming_amount(reader.nextDouble());
break;
case "savings_amount":
plan.setSavings_amount(reader.nextDouble());
break;
case "savings_avg":
plan.setSavings_avg(reader.nextDouble());
break;
case "savings_percents":
plan.setSavings_percents(reader.nextInt());
break;
case "yearly_id":
case "handset":
case "internals":
case "consumer_id":
case "calculation_details":
case "operator":
case "total":
case "international_plan":
case "contract_length":
case "zone":
case "externals":
case "cancel_fee":
case "transformers":
case "one-offs":
case "flow":
case "roaming_plan":
case "_id":
// You can use this to ignore the keys you don't care about
default:
Log.d(TAG, "DEFAULT " + reader.peek() + "");
reader.skipValue();
break;
}
}
reader.endObject();
return plan;
}
private void handleNationalPlan(JsonReader reader, Plan plan) throws IOException {
reader.beginObject();
while (!(reader.peek() == JsonToken.END_OBJECT)) {
switch(reader.nextName()) {
case "contract_length":
break;
case "name":
break;
case "country":
// etc.
}
}
reader.endObject();
}
private void handleBillTotal(JsonReader reader, Plan plan) throws IOException {
}
// etc.
}
关于java - 如何通过修改结构来反序列化Json？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/31751137/