这是我第一次用Java进行外部api调用，所以请耐心等待，因为我不是很有经验。我得到了http请求，并得到了响应，但现在我需要解析它。
我正在尝试将json数组转换为java对象。我理解它的要点，但我见过的所有例子都不适用于我的问题。
我需要json字符串中的'entities'对象。细节（也是一个数组）可以包含任何键/值对，所以我想把它放在每个Entity对象的hashmap中。我已经尝试了gson库，但我找不到任何比单维json数组更深的gson示例。
我意识到这是一个广泛的问题，我不希望任何人向我提供有效的解决方案，但是一些提示或指向相关指南的链接将会有很长的路要走。 ：）
{
"return": {
"entities": [
{
"id": 2385,
"details": [
{
"name": "Other Known Name",
"value": "John Wick",
"match": false
}
],
"proofs": [],
"link": "http://domain.gg/users?id=2385"
},
{
"id": 2384,
"details": [
{
"name": "Discord ID",
"value": "159985870458322944",
"match": false
},
{
"name": "SteamID64",
"value": "76561197991558078",
"match": true
},
{
"name": "SteamVanity",
"value": "test",
"match": false
},
{
"name": "PS4",
"value": "John_S",
"match": false
},
{
"name": "XBox",
"value": "John S",
"match": false
},
{
"name": "Email",
"value": "john_smith@gmail.com",
"match": true
},
{
"name": "Comment",
"value": "Test user",
"match": false
},
{
"name": "Other Known Name",
"value": "Jonathan",
"match": false
},
{
"name": "Reddit",
"value": "/u/johns",
"match": true
}
],
"proofs": [],
"link": "http://domain.gg/users?id=2384"
},
{
"id": 1680,
"details": [
{
"name": "Other Known Name",
"value": "Johny",
"match": false
},
{
"name": "SteamID64",
"value": "76561198213003675",
"match": true
}
],
"proofs": [],
"link": "http://domain.gg/users?id=1680"
},
{
"id": 1689,
"details": [
{
"name": "Other Known Name",
"value": "JohnnyPeto",
"match": false
},
{
"name": "SteamID64",
"value": "76561198094228192",
"match": true
}
],
"proofs": [],
"link": "http://domain.gg/users?id=1689"
}
],
"notice": "Showing 4 out of 4 matches."
}
}
答案 0 :(得分：1)
有许多json序列化/反序列化框架可用。我建议您查看Jackson。
基本上，您必须创建与json模式对应的模型，并将json反序列化为对象。根据问题中的示例，模型将如下所示：
@JsonIgnoreProperties(ignoreUnknown = true)
class Response {
@JsonProperty("return")
private ResponseObject responseObject;
public ResponseObject getResponseObject() {
return responseObject;
}
public void setResponseObject(ResponseObject responseObject) {
this.responseObject = responseObject;
}
}
@JsonIgnoreProperties(ignoreUnknown = true)
class ResponseObject {
private List<Entity> entities;
public List<Entity> getEntities() {
return entities;
}
public void setEntities(List<Entity> entities) {
this.entities = entities;
}
}
@JsonIgnoreProperties(ignoreUnknown = true)
class Entity {
private String id;
private List<Details> details;
public String getId() {
return id;
}
public void setId(String id) {
this.id = id;
}
public List<Details> getDetails() {
return details;
}
public void setDetails(List<Details> details) {
this.details = details;
}
}
@JsonIgnoreProperties(ignoreUnknown = true)
class Details {
private String name;
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
}
定义模型后，您可以使用ObjectMapper类来执行序列化/反序列化，例如：
ObjectMapper mapper = new ObjectMapper();
Response response = mapper.readValue("{\"return\": {\"entities\": [{\"id\": 2385,\"details\": [{\"name\": \"Other Known Name\",\"value\": \"John Wick\",\"match\": false}],\"proofs\": [],\"link\": \"http://domain.gg/users?id=2385\"},{\"id\": 2384,\"details\": [{\"name\": \"Discord ID\",\"value\": \"159985870458322944\",\"match\": false},{\"name\": \"SteamID64\",\"value\": \"76561197991558078\",\"match\": true},{\"name\": \"SteamVanity\",\"value\": \"test\",\"match\": false},{\"name\": \"PS4\",\"value\": \"John_S\",\"match\": false},{\"name\": \"XBox\",\"value\": \"John S\",\"match\": false},{\"name\": \"Email\",\"value\": \"john_smith@gmail.com\",\"match\": true},{\"name\": \"Comment\",\"value\": \"Test user\",\"match\": false},{\"name\": \"Other Known Name\",\"value\": \"Jonathan\",\"match\": false},{\"name\": \"Reddit\",\"value\": \"/u/johns\",\"match\": true}],\"proofs\": [],\"link\": \"http://domain.gg/users?id=2384\"},{\"id\": 1680,\"details\": [{\"name\": \"Other Known Name\",\"value\": \"Johny\",\"match\": false},{\"name\": \"SteamID64\",\"value\": \"76561198213003675\",\"match\": true}],\"proofs\": [],\"link\": \"http://domain.gg/users?id=1680\"},{\"id\": 1689,\"details\": [{\"name\": \"Other Known Name\",\"value\": \"JohnnyPeto\",\"match\": false},{\"name\": \"SteamID64\",\"value\": \"76561198094228192\",\"match\": true}],\"proofs\": [],\"link\": \"http://domain.gg/users?id=1689\"}],\"notice\": \"Showing 4 out of 4 matches.\"}}", Response.class);
System.out.println(response.getResponseObject().getEntities().get(0).getId());
这里是Javadoc。
答案 1 :(得分：0)
如果我是你，我会使用Jackson，而不是GSON。它专门研究JavaBeans风格的映射。写下这样的课程：
public class Detail{
private String name;
private String value;
private boolean match;
// + getters / setters
}
public class Entity{
private int id;
private List<Detail> details;
private String link;
private List<String> proofs;
// you don't have any example data for this, so I'm assuming strings
// + getters / setters
}
public class Result{
private List<Entity> entities;
private String notice;
// + getters / setters
}
并使用
之类的内容进行转换Result result = new ObjectMapper().readValue(json, Result.class);
答案 2 :(得分：0)
正如我的同事stackoverflow用户之前发布的那样，对于这种启动，Jackson API会更好。然而，我已经为Gson发布了你的问题的解决方案。
我注意到您希望将您的详细信息存储为ID为key的HashMap。但是，似乎这个id实际上与实体有关，而与细节无关。
免责声明，我懒得使用在线POJO生成器，因为我不想为所有Json元素创建对象;）它仍然展示了它应该如何完成：
class Main{
public static void main(String[] args) throws FileNotFoundException {
//this is just to load the json file
String input = new Scanner(new File("test.txt")).useDelimiter("\\Z").next();
System.out.println(input);
Gson gson = new Gson();
Example arr = gson.fromJson(input, Example.class);
System.out.println(arr);
}
public class Detail {
@SerializedName("name")
@Expose
public String name;
@SerializedName("value")
@Expose
public String value;
@SerializedName("match")
@Expose
public Boolean match;
@Override
public String toString() {
return "Detail [name=" + name + ", value=" + value + ", match=" + match + "]";
}
}
public class Entity {
@SerializedName("id")
@Expose
public Integer id;
@SerializedName("details")
@Expose
public List<Detail> details = null;
@SerializedName("proofs")
@Expose
public List<Object> proofs = null;
@SerializedName("link")
@Expose
public String link;
@Override
public String toString() {
return "Entity [id=" + id + ", details=" + details + ", proofs=" + proofs + ", link=" + link + "]";
}
}
public class Example {
@SerializedName("return")
@Expose
public Return _return;
@Override
public String toString() {
return "Example [_return=" + _return + "]";
}
}
public class Return {
@SerializedName("entities")
@Expose
public List<Entity> entities = null;
@SerializedName("notice")
@Expose
public String notice;
@Override
public String toString() {
return "Return [entities=" + entities + ", notice=" + notice + "]";
}
}
}
<强>输出
Example [_return=Return [entities=[Entity [id=2385, details=[Detail [name=Other Known Name, value=John Wick, match=false]], proofs=[], link=http://domain.gg/users?id=2385], Entity [id=2384, details=[Detail [name=Discord ID, value=159985870458322944, match=false], Detail [name=SteamID64, value=76561197991558078, match=true], Detail [name=SteamVanity, value=test, match=false], Detail [name=PS4, value=John_S, match=false], Detail [name=XBox, value=John S, match=false], Detail [name=Email, value=john_smith@gmail.com, match=true], Detail [name=Comment, value=Test user, match=false], Detail [name=Other Known Name, value=Jonathan, match=false], Detail [name=Reddit, value=/u/johns, match=true]], proofs=[], link=http://domain.gg/users?id=2384], Entity [id=1680, details=[Detail [name=Other Known Name, value=Johny, match=false], Detail [name=SteamID64, value=76561198213003675, match=true]], proofs=[], link=http://domain.gg/users?id=1680], Entity [id=1689, details=[Detail [name=Other Known Name, value=JohnnyPeto, match=false], Detail [name=SteamID64, value=76561198094228192, match=true]], proofs=[], link=http://domain.gg/users?id=1689]], notice=Showing 4 out of 4 matches.]]
答案 3 :(得分：0)
尽管有答案建议您使用Jackson，但您仍然可以使用Gson轻松完成其默认配置，只需在映射之间创建正确的关系：
// A generic response, parameterized with <T>, can hold any type except of primitives
final class Response<T> {
@SerializedName("return")
final T ret = null;
}
final class EntitiesAndNotice {
final List<Entity> entities = null;
final String notice = null;
}
final class Entity {
// Unlike Object and any its subclasses, `int` being a primitive cannot be nulled
// Simple 0 won't work either, because the compiler will inline it
// So it's a sort of cheating javac to return a value that holds 0 already
final int id = Integer.valueOf(0);
final List<Detail> details = null;
// Your JSON document does not provide enough info on the elements type
// So it depends on how Gson parses JSON tokens
final List<Object> proofs = null;
final URL link = null;
}
final class Detail {
final String name = null;
final String value = null;
// The same for primitive booleans, or Boolean.FALSE
final boolean match = Boolean.valueOf(false);
}
使用示例：
private static final String JSON = "{\"return\":{\"entities\":[{\"id\":2385,\"details\":[{\"name\":\"Other Known Name\",\"value\":\"John Wick\",\"match\":false}],\"proofs\":[],\"link\":\"http://domain.gg/users?id=2385\"},{\"id\":2384,\"details\":[{\"name\":\"Discord ID\",\"value\":\"159985870458322944\",\"match\":false},{\"name\":\"SteamID64\",\"value\":\"76561197991558078\",\"match\":true},{\"name\":\"SteamVanity\",\"value\":\"test\",\"match\":false},{\"name\":\"PS4\",\"value\":\"John_S\",\"match\":false},{\"name\":\"XBox\",\"value\":\"John S\",\"match\":false},{\"name\":\"Email\",\"value\":\"john_smith@gmail.com\",\"match\":true},{\"name\":\"Comment\",\"value\":\"Test user\",\"match\":false},{\"name\":\"Other Known Name\",\"value\":\"Jonathan\",\"match\":false},{\"name\":\"Reddit\",\"value\":\"/u/johns\",\"match\":true}],\"proofs\":[],\"link\":\"http://domain.gg/users?id=2384\"},{\"id\":1680,\"details\":[{\"name\":\"Other Known Name\",\"value\":\"Johny\",\"match\":false},{\"name\":\"SteamID64\",\"value\":\"76561198213003675\",\"match\":true}],\"proofs\":[],\"link\":\"http://domain.gg/users?id=1680\"},{\"id\":1689,\"details\":[{\"name\":\"Other Known Name\",\"value\":\"JohnnyPeto\",\"match\":false},{\"name\":\"SteamID64\",\"value\":\"76561198094228192\",\"match\":true}],\"proofs\":[],\"link\":\"http://domain.gg/users?id=1689\"}],\"notice\":\"Showing 4 out of 4 matches.\"}}";
private static final Gson gson = new Gson();
private static final TypeToken<Response<EntitiesAndNotice>> responseTypeToken = new TypeToken<Response<EntitiesAndNotice>>() {
};
public static void main(final String... args) {
final Response<EntitiesAndNotice> response = gson.fromJson(JSON, responseTypeToken.getType());
final String value = response.ret.entities.get(1).details.get(3).value;
System.out.println(value);
}
输出：
John_S