我是使用Android widevine
的新手。我停留在向Retrofit
发出请求的位置,响应有动态键。任何人都可以告诉我解析REST Api
这样的事情的最佳方法是什么。
JSON
答案 0 :(得分:2)
如果您使用 Retrofit ,那么您可以直接将其解析为某个模型,例如 TestModel 根据你的要求调用这样的东西。
@GET("your endpoint")
Call<TestModel> getTestData();
在这里你将得到数据
public void getTestData(){
mApiServiceNetwork.getNetworkService(null,WebConstants.API_ENDPOINT)
.getTestData()
.enqueue(new Callback<TestModel>() {
@Override
public void onResponse(final Call<TestModel> call, final Response<TestModel> response) {
if (response.code()==200){
//handle the response
TestModel testModel = response.body();
}else{
//handle the error
}
}
@Override
public void onFailure(final Call<TestModel> call, final Throwable t) {
}
});
}
或
如果要在 JSON 对象中获取数据,请执行此操作。
private TestModel getTestModel(JsonObject jsonObject){
Gson gson = new Gson();
TestModel testModel = gson.fromJson(jsonObject,TestModel.class);
return testModel;
}
如果你在String中获取数据然后解析为Json对象,那么调用上面的方法就是如何将字符串转换为json对象。
JsonObject jsonParser = new JsonParser().parse(json).getAsJsonObject();
最重要的是,对于这两种情况,你的TestModel应如下所示。
public class TestModel {
@SerializedName("Meta Data")
@Expose
private MetaModel mMetaModel;
public MetaModel getMetaModel() {
return mMetaModel;
}
public void setMetaModel(final MetaModel metaModel) {
mMetaModel = metaModel;
}
public Map<String, TimeModel> getTimeModel() {
return mTimeModel;
}
public void setTimeModel(final Map<String, TimeModel> timeModel) {
mTimeModel = timeModel;
}
@SerializedName("Time Series (1min)")
@Expose
private Map<String,TimeModel> mTimeModel;
public static class MetaModel{
@SerializedName("1. Information")
@Expose
private String _1Information;
@SerializedName("2. Symbol")
@Expose
private String _2Symbol;
@SerializedName("3. Last Refreshed")
@Expose
private String _3LastRefreshed;
@SerializedName("4. Interval")
@Expose
private String _4Interval;
@SerializedName("5. Output Size")
@Expose
private String _5OutputSize;
@SerializedName("6. Time Zone")
@Expose
private String _6TimeZone;
public String get_1Information() {
return _1Information;
}
public void set_1Information(final String _1Information) {
this._1Information = _1Information;
}
public String get_2Symbol() {
return _2Symbol;
}
public void set_2Symbol(final String _2Symbol) {
this._2Symbol = _2Symbol;
}
public String get_3LastRefreshed() {
return _3LastRefreshed;
}
public void set_3LastRefreshed(final String _3LastRefreshed) {
this._3LastRefreshed = _3LastRefreshed;
}
public String get_4Interval() {
return _4Interval;
}
public void set_4Interval(final String _4Interval) {
this._4Interval = _4Interval;
}
public String get_5OutputSize() {
return _5OutputSize;
}
public void set_5OutputSize(final String _5OutputSize) {
this._5OutputSize = _5OutputSize;
}
public String get_6TimeZone() {
return _6TimeZone;
}
public void set_6TimeZone(final String _6TimeZone) {
this._6TimeZone = _6TimeZone;
}
}
public static class TimeModel{
@SerializedName("1. open")
@Expose
private String _1Open;
@SerializedName("2. high")
@Expose
private String _2High;
@SerializedName("3. low")
@Expose
private String _3Low;
@SerializedName("4. close")
@Expose
private String _4Close;
@SerializedName("5. volume")
@Expose
private String _5Volume;
public String get_1Open() {
return _1Open;
}
public void set_1Open(final String _1Open) {
this._1Open = _1Open;
}
public String get_2High() {
return _2High;
}
public void set_2High(final String _2High) {
this._2High = _2High;
}
public String get_3Low() {
return _3Low;
}
public void set_3Low(final String _3Low) {
this._3Low = _3Low;
}
public String get_4Close() {
return _4Close;
}
public void set_4Close(final String _4Close) {
this._4Close = _4Close;
}
public String get_5Volume() {
return _5Volume;
}
public void set_5Volume(final String _5Volume) {
this._5Volume = _5Volume;
}
}
}
关键是,如果我们使用Map<K,V>
进行改造,如果模型与JSON一样,它会自动将其解析为模型。
答案 1 :(得分:1)
我认为这可能会对您有所帮助:
JSONObject timeJsonObject = mainObject.getJSONObject("Time Series (1min)");
Iterator<String> keysItr = timeJsonObject.keys();
while (keysItr.hasNext()) {
String key = keysItr.next();
//now here you get key as : 2017-12-01 16:00:00
//do here code as:
JSONObject individualObject = timeJsonObject.getJSONObject(key);
String openTime = individualObject.getString("1. open");
String highTime = individualObject.getString("1. high");
String lowTime = individualObject.getString("1. low");
String closeTime = individualObject.getString("1. close");
String volumeTime = individualObject.getString("1. volumne");
}
这里“while-loop”迭代所有键“2017-12-01 16:00:00,2017-12-01 15:59:00,2017-12-01 15:58:00”等等上。它将迭代本节中将添加的键数。
答案 2 :(得分:0)
如果要手动解析JsonString,请遵循以下代码:
JSONObject object = new JSONObject(jsonString);
Map<String, Object> metaDataMap = toMap(object.getJSONObject("Meta Data"));
displayMap(metaDataMap);
Map<String, Object> timeSeriesMap = toMap(object.getJSONObject("Time Series (1min)"));
displayMap(timeSeriesMap);
toMap
方法:
public Map<String, Object> toMap(JSONObject object) throws JSONException {
Map<String, Object> map = new TreeMap<String, Object>(); // TreeMap(for getting data in sorted order[Ascending])
Iterator<String> keysItr = object.keys();
while(keysItr.hasNext()) {
String key = keysItr.next();
Object value = object.get(key);
if(value instanceof JSONObject) {
value = toMap((JSONObject) value);
}
map.put(key, value);
}
return map;
}
displayMap
方法:
public void displayMap(Map<String, Object> myMap) {
Iterator iterator = myMap.entrySet().iterator();
while(iterator.hasNext()) {
Map.Entry mentry = (Map.Entry)iterator.next();
System.out.println("key is: "+ mentry.getKey() + " & Value is: " + mentry.getValue());
}
}
输出:
key is: 1. Information & Value is: Intraday (1min) prices and volumes
key is: 2. Symbol & Value is: MSFT
key is: 3. Last Refreshed & Value is: 2017-12-01 16:00:00
key is: 4. Interval & Value is: 1min
key is: 5. Output Size & Value is: Compact
key is: 6. Time Zone & Value is: US/Eastern
key is: 2017-12-01 15:58:00 & Value is: {1. open=84.2800, 2. high=84.3000, 3. low=84.2400, 4. close=84.2550, 5. volume=139520}
key is: 2017-12-01 15:59:00 & Value is: {1. open=84.2500, 2. high=84.2600, 3. low=84.2000, 4. close=84.2000, 5. volume=175169}
key is: 2017-12-01 16:00:00 & Value is: {1. open=84.2000, 2. high=84.2600, 3. low=84.1800, 4. close=84.2000, 5. volume=3311341}