将Json解析为Java Object

时间：2014-08-24 18:24:39

标签： java json parsing weather-api

我对Json的经验非常少，我要将复杂的Json解析为Java Objects。

我尝试了几种方法但没有成功......我正在以Json格式获取我的城市的天气预报，我需要将Json数据解析为Java Objects。

Json：

{"city":
 {"city_code":"ATAT10678",
  "name":"Wien",
  "url":"oesterreich/wien/ATAT10678.html",
  "credit":{"info":"In order to use the free weather data from wetter.com you HAVE TO display at least two out of three of the following possibilities: text, link, logo",
  "text":"Powered by wetter.com","link":"http://www.wetter.com",
  "logo":"Download at http://www.wetter.com/api/downloads/#logos"},
  "forecast":{
   "2014-08-24":{
    "w":"1",
    "tx":"20",
    "pc":"30",
    "06:00":{
     "w":"2",
     "tx":"16",
     "pc":"30",
     "tn":"15",
     "p":"5",
     "dhl":"2014-08-24 06:00",
     "ws":"19",
     "w_txt":"wolkig"},
    "11:00":{
     "w":"2",
     "tx":"18",
     "pc":"30",
     "tn":"16",
     "p":"6",
     "dhl":"2014-08-24 11:00",
     "ws":"20",
     "w_txt":"wolkig"},
    "17:00":{
     "w":"1",
     "tx":"20",
     "pc":"20",
     "tn":"16",
     "p":"6",
     "dhl":"2014-08-24 17:00",
     "ws":"12",
     "w_txt":"leicht bewölkt"},
    "23:00":{
     "w":"1",
     "tx":"16",
     "pc":"10",
     "tn":"13",
     "p":"6",
     "dhl":"2014-08-24 23:00",
     "ws":"7",
     "w_txt":"leicht bewölkt"},
    "tn":"15",
    "p":"24",
    "dhl":"2014-08-24 06:00",
    "ws":"14",
    "w_txt":"leicht bewölkt"},
   "2014-08-25":{"w":"2","tx":"22","pc":"30","06:00":{"w":"2","tx":"17","pc":"20","tn":"12","p":"5","dhl":"2014-08-25 06:00","ws":"5","w_txt":"wolkig"},"11:00":{"w":"2","tx":"21","pc":"30","tn":"17","p":"6","dhl":"2014-08-25 11:00","ws":"10","w_txt":"wolkig"},"17:00":{"w":"2","tx":"22","pc":"30","tn":"18","p":"6","dhl":"2014-08-25 17:00","ws":"11","w_txt":"wolkig"},"23:00":{"w":"3","tx":"18","pc":"30","tn":"16","p":"6","dhl":"2014-08-25 23:00","ws":"6","w_txt":"bedeckt"},"tn":"12","p":"24","dhl":"2014-08-25 06:00","ws":"8","w_txt":"wolkig"},"2014-08-26":{"w":"3","tx":"22","pc":"75","06:00":{"w":"3","tx":"17","pc":"75","tn":"15","p":"5","dhl":"2014-08-26 06:00","ws":"6","w_txt":"bedeckt"},"11:00":{"w":"61","tx":"21","pc":"75","tn":"17","p":"6","dhl":"2014-08-26 11:00","ws":"9","w_txt":"leichter Regen"},"17:00":{"w":"61","tx":"22","pc":"75","tn":"18","p":"6","dhl":"2014-08-26 17:00","ws":"9","w_txt":"leichter Regen"},"23:00":{"w":"3","tx":"18","pc":"75","tn":"17","p":"6","dhl":"2014-08-26 23:00","ws":"9","w_txt":"bedeckt"},"tn":"15","p":"24","dhl":"2014-08-26 06:00","ws":"8","w_txt":"bedeckt"}}}}

我不知道如何将其解析为对象..

非常感谢您的建议！

这是我的第一次试验.. 

        Gson gson = new Gson();
        JsonObject jsonObj = gson.fromJson(br, JsonObject.class);
        Map<String, LinkedTreeMap> map = new HashMap<String, LinkedTreeMap>();
        map = (Map<String, LinkedTreeMap>) gson.fromJson(jsonObj.toString(), map.getClass());

        LinkedTreeMap<String, LinkedTreeMap> tmp = new LinkedTreeMap<>();
        tmp = map.get("city");

        for(Map.Entry<String, LinkedTreeMap> e : tmp.entrySet()) {
            System.out.println("k: " + e.getKey());
        }

        LinkedTreeMap<String, LinkedTreeMap> tmp1 = new LinkedTreeMap<>();
        tmp1 = tmp.get("forecast");

        for(Map.Entry<String, LinkedTreeMap> e : tmp1.entrySet()) {
            System.out.println("k: " + e.getKey());
            LinkedTreeMap<String, LinkedTreeMap> values = e.getValue();
            for(Map.Entry<String, LinkedTreeMap> v : values.entrySet()) {

                System.out.println("k: " + v.getKey() + " v: " + v.getValue());
            }

        }

和一天的输出：

k: city_code
k: name
k: url
k: credit
k: forecast
k: 2014-08-25
k: w v: 2
k: tx v: 23
k: pc v: 90
k: 06:00 v: {w=2, tx=17, pc=20, tn=13, p=5, dhl=2014-08-25 06:00, ws=5, w_txt=wolkig}
k: 11:00 v: {w=2, tx=21, pc=20, tn=17, p=6, dhl=2014-08-25 11:00, ws=9, w_txt=wolkig}
k: 17:00 v: {w=2, tx=23, pc=30, tn=17, p=6, dhl=2014-08-25 17:00, ws=11, w_txt=wolkig}
k: 23:00 v: {w=3, tx=17, pc=90, tn=16, p=6, dhl=2014-08-25 23:00, ws=6, w_txt=bedeckt}
k: tn v: 13
k: p v: 24
k: dhl v: 2014-08-25 06:00
k: ws v: 8
k: w_txt v: wolkig

到目前为止一直很好，但我如何得到06：00,11：00,17：00和23:00（通用因为时间可以改变），因为这是我需要的信息？

非常感谢BR 龙卷风

5 个答案:

答案 0 :(得分：4)

以下是使用GSON的示例

import com.google.gson.JsonElement;
import com.google.gson.JsonParser;
public class CodeChefTest1 {
    public static String json = "{\"balance\": 1000.21, \"num\":100, \"is_vip\":true, \"name\":\"foo\"}";
    public static void main(String[] args) {
        JsonElement ele = new JsonParser().parse(json);
        for(java.util.Map.Entry<String, JsonElement> entr : ele.getAsJsonObject().entrySet()){
            System.out.println(entr.getKey());
            System.out.println(entr.getValue());
        }
    }
}

您可以使用上述内容并使用对isJSONArray(),isJSONObject(),isJSONPrimitive()等JSONElements的检查在循环中运行它，并使用相同的策略执行适当的重新解析。

上面只是遍历json字符串并打印所有键值对。您可以对json字符串的日期部分执行相同的操作。

答案 1 :(得分：2)

我个人建议使用杰克逊。使用jackson，您可以将JSON字符串转换为POJO（java bean）。 https://github.com/FasterXML/jackson

该库免费，快速且易于使用。

由于你有日期和时间作为属性名称，我认为至少你的对象的那部分应该是一个JAVA地图，正如Amaynut建议的那样。

答案 2 :(得分：1)

除了gba的Jackson之外，您还可以使用Google GSON：https://code.google.com/p/google-gson/

另外，请查看此主题：Jackson Vs. Gson

答案 3 :(得分：1)

您可以使用Google提供的库 Gson 。这是一个转换为Map类型的Java对象的json对象的示例：

 Gson gson=new Gson(); 
String json="{\"k1\":\"v1\",\"k2\":\"v2\"}";
Map<String,String> map=new HashMap<String,String>();
map=(Map<String,String>) gson.fromJson(json, map.getClass());

尝试使用 Gson 库的另一个解决方案如下：

Gson gson = new Gson();
String json="{\"k1\":\"v1\",\"k2\":\"v2\"}";
LinkedTreeMap result = gson.fromJson(json, LinkedTreeMap.class);

您需要导入这两个类：

import com.google.gson.Gson;
import com.google.gson.internal.LinkedTreeMap;

您可以查看有关同一主题的帖子： How can I convert JSON to a HashMap using Gson?

答案 4 :(得分：0)

这是第一个工作代码..（快速'肮脏）..

向Sumeet Sharma致敬！也许有人有更好的解决方案...... 

    public void updateWeather() {
    forecasts = new ArrayList<>();
    try  {

        URL url = new URL(createURL());
        HttpURLConnection conn = (HttpURLConnection) url.openConnection();
        conn.setDoOutput(true);

        OutputStream os = conn.getOutputStream();
        os.flush();

        if (conn.getResponseCode() != 200) {
            throw new RuntimeException("Failed : HTTP error code : "
                    + conn.getResponseCode());
        }

        BufferedReader br = new BufferedReader(new InputStreamReader(
                (conn.getInputStream())));

        Gson gson = new Gson();
        JsonObject jsonObj = gson.fromJson(br, JsonObject.class);

        JsonElement element = jsonObj.get("city");
        jsonObj = gson.fromJson(element.getAsJsonObject(), JsonObject.class);
        element = jsonObj.get("forecast");

        for (Map.Entry<String, JsonElement> entr : element.getAsJsonObject().entrySet()) {
            JsonElement element1 = entr.getValue().getAsJsonObject();
            for (Map.Entry<String, JsonElement> entr1 : element1.getAsJsonObject().entrySet()) {
                if (entr1.getValue().isJsonObject()) {
                    JsonElement element2 = entr1.getValue().getAsJsonObject();
                    Forecast forecast = new Forecast();
                    for (Map.Entry<String, JsonElement> entr2 : element2.getAsJsonObject().entrySet()) {
                        switch (entr2.getKey()) {
                            case "w":
                                forecast.setW(entr2.getValue().getAsString());
                                break;
                            case "tx":
                                forecast.setTx(entr2.getValue().getAsString());
                                break;
                            case "pc":
                                forecast.setPc(entr2.getValue().getAsString());
                                break;
                            case "tn":
                                forecast.setTn(entr2.getValue().getAsString());
                                break;
                            case "p":
                                forecast.setP(entr2.getValue().getAsString());
                                break;
                            case "dhl":
                                forecast.setDhl(entr2.getValue().getAsString());
                                break;
                            case "ws":
                                forecast.setWs(entr2.getValue().getAsString());
                                break;
                            case "w_txt":
                                forecast.setW_txt(entr2.getValue().getAsString());
                                break;
                        }
                    }
                    forecasts.add(forecast);
                }
            }
        }
        conn.disconnect();

    } catch (MalformedURLException e) {
        e.printStackTrace();
    } catch (IOException e) {
        e.printStackTrace();
    }

    for(Forecast f : forecasts)
        System.out.println(f);
}
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