GSON搞定JSON數據

GSON是Google提供的用來在Java對象和JSON數據之間進行映射的Java類庫。能夠將一個Json字符轉成一個Java對象,或者將一個Java轉化爲Json字符串。 特色: a、快速、高效    b、代碼量少、簡潔 c、面向對象 d、數據傳遞和解析方便json

Gon介紹

<dependency>
    <groupId>com.google.code.gson</groupId>
    <artifactId>gson</artifactId>
    <version>2.8.0</version>
 </dependency>
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Gson的建立方式

  1. Gson gson = new gson();
  2. 經過GsonBuilder(),能夠配置多種配置。
Gson gson = new GsonBuilder()
                        .setLenient()// json寬鬆  
                        .enableComplexMapKeySerialization()//支持Map的key爲複雜對象的形式  
                        .serializeNulls() //智能null  
                        .setPrettyPrinting()// 調教格式  
                        .disableHtmlEscaping() //默認是GSON把HTML 轉義的
                        .create(); 
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Gson的基本用法

以前寫過一個獲取天氣參數的API,就須要去解析返回的json數據,就以此爲例。api

獲取天氣參數

String url = "http://t.weather.sojson.com/api/weather/city/101010100";
 String resultStr = HttpClientUtil.sendGetRequest(url, "UTF-8");
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返回結果(就不格式化了)

{shidu=15%, pm25=15.0, pm10=35.0, quality=優, wendu=3, ganmao=各種人羣可自由活動, 
yesterday={date=06, sunrise=07:36, high=高溫 3.0℃, low=低溫 -7.0℃, sunset=17:03, 
aqi=58.0, ymd=2019-01-06, week=星期日, fx=西南風, fl=<3級, type=晴, 
notice=願你擁有比陽光明媚的心情}, forecast=[{date=07, sunrise=07:36, high=高溫 2.0℃, 
low=低溫 -7.0℃, sunset=17:04, aqi=48.0, ymd=2019-01-07, week=星期一, fx=北風, 
fl=3-4級, type=多雲, notice=陰晴之間,謹防紫外線侵擾}, {date=08, sunrise=07:36, 
high=高溫 1.0℃, low=低溫 -9.0℃, sunset=17:05, aqi=28.0, ymd=2019-01-08, week=星期二, 
fx=北風, fl=3-4級, type=晴, notice=願你擁有比陽光明媚的心情}, {date=09, sunrise=07:36,
 high=高溫 2.0℃, low=低溫 -8.0℃, sunset=17:06, aqi=83.0, ymd=2019-01-09, week=星期三, 
fx=西南風, fl=<3級, type=多雲, notice=陰晴之間,謹防紫外線侵擾}, {date=10, sunrise=07:36, 
high=高溫 4.0℃, low=低溫 -7.0℃, sunset=17:07, aqi=128.0, ymd=2019-01-10, week=星期四,
 fx=西南風, fl=<3級, type=晴, notice=願你擁有比陽光明媚的心情}, {date=11, sunrise=07:36, 
high=高溫 5.0℃, low=低溫 -6.0℃, sunset=17:08, aqi=238.0, ymd=2019-01-11, week=星期五,
 fx=西南風, fl=<3級, type=多雲, notice=陰晴之間,謹防紫外線侵擾}]}
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能夠新建一個天氣的Bean,將返回的json數據轉換成對象

//GSON直接解析成對象
ResultBean resultBean = new Gson().fromJson(resultStr,ResultBean.class);
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解析簡單的json數組

data:{
      shidu = 15 % , 
      pm25 = 15.0,
      pm10 = 35.0, 
      quality = 優, 
      wendu = 3, 
      ganmao = 各種人羣可自由活動,
     }
JsonObject jsonObject =(JsonObject) new JsonParser().parse(resultStr);
Int wendu = jsonObject.get("data").getAsJsonObject().get("wendu").getAsInt();
String quality= jsonObject.get("data").getAsJsonObject().get("quality").getAsString();
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解析多層對象

data:{
      shidu = 15 % , 
      pm25 = 15.0, 
      pm10 = 35.0, 
      quality = 優, 
      wendu = 3, 
      ganmao = 各種人羣可自由活動, 
      yesterday :{
                    date = 06,
                    sunrise = 07: 36,
                    high = 高溫 3.0℃,
                    low = 低溫 - 7.0℃,
                    sunset = 17: 03,
                    aqi = 58.0,
                    ymd = 2019 - 01 - 06,
                    week = 星期日,
                    fx = 西南風,
                    fl = < 3 級,
                    type = 晴,
                    notice = 願你擁有比陽光明媚的心情
                 }
        }

 JsonObject jsonObject = (JsonObject) new JsonParser().parse(resultStr);
 JsonObject yesterday = jsonObject.get("data").getAsJsonObject().get("yesterday ").getAsJsonObject();
 String type  = yesterday.get("type").getAsString();
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解析帶數組的json

{
shidu = 15 % , pm25 = 15.0, pm10 = 35.0, quality = 優, wendu = 3, ganmao = 各種人羣可自由活動, 
yesterday = {
        date = 06,
        sunrise = 07: 36,
        high = 高溫 3.0℃,
        low = 低溫 - 7.0℃,
        sunset = 17: 03,
        aqi = 58.0,
        ymd = 2019 - 01 - 06,
        week = 星期日,
        fx = 西南風,
        fl = < 3 級,
        type = 晴,
        notice = 願你擁有比陽光明媚的心情
    }, 
forecast = [{
        date = 07,
        sunrise = 07: 36,
        high = 高溫 2.0℃,
        low = 低溫 - 7.0℃,
        sunset = 17: 04,
        aqi = 48.0,
        ymd = 2019 - 01 - 07,
        week = 星期一,
        fx = 北風,
        fl = 3 - 4 級,
        type = 多雲,
        notice = 陰晴之間, 謹防紫外線侵擾
    }, {
        date = 08,
        sunrise = 07: 36,
        high = 高溫 1.0℃,
        low = 低溫 - 9.0℃,
        sunset = 17: 05,
        aqi = 28.0,
        ymd = 2019 - 01 - 08,
        week = 星期二,
        fx = 北風,
        fl = 3 - 4 級,
        type = 晴,
        notice = 願你擁有比陽光明媚的心情
    }, {
        date = 09,
        sunrise = 07: 36,
        high = 高溫 2.0℃,
        low = 低溫 - 8.0℃,
        sunset = 17: 06,
        aqi = 83.0,
        ymd = 2019 - 01 - 09,
        week = 星期三,
        fx = 西南風,
        fl = < 3 級,
        type = 多雲,
        notice = 陰晴之間, 謹防紫外線侵擾
    }, {
        date = 10,
        sunrise = 07: 36,
        high = 高溫 4.0℃,
        low = 低溫 - 7.0℃,
        sunset = 17: 07,
        aqi = 128.0,
        ymd = 2019 - 01 - 10,
        week = 星期四,
        fx = 西南風,
        fl = < 3 級,
        type = 晴,
        notice = 願你擁有比陽光明媚的心情
    }, {
        date = 11,
        sunrise = 07: 36,
        high = 高溫 5.0℃,
        low = 低溫 - 6.0℃,
        sunset = 17: 08,
        aqi = 238.0,
        ymd = 2019 - 01 - 11,
        week = 星期五,
        fx = 西南風,
        fl = < 3 級,
        type = 多雲,
        notice = 陰晴之間, 謹防紫外線侵擾
    }]
}

JsonObject jsonObject =(JsonObject) new JsonParser().parse(resultStr);
//獲取data
JsonObject data = jsonObject.get("data").getAsJsonObject();
//獲取數組
JsonArray forecast = data.getAsJsonObject().get("forecast").getAsJsonArray();
String type  = forecast.get(0).getAsJsonObject().get("type").getAsString();
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