1.使用okhttp

添加依赖:

compile 'com.squareup.okhttp3:okhttp:3.8.1'

导入gson

implementation 'com.google.code.gson:gson:2.2.4'

安装插件gsonformat返回json数据报时生成对应的提取类进行提取

val result = response?.body()?.string()// 将返回的json报文通过string()方法转为字符串

再用gson的fromjson方法进行对应的类转换并存入新对象生成类内对应的list 重写tostring方法打印出结果就好了

kotlin没有静态 static 这个时候java混用的好处就出来了

12.1利用插件GsonFormat解析json生成类（https://www.jianshu.com/p/4d759d6f83fa）

12.2以及fromJson（数据，类）生成对象（https://www.cnblogs.com/reboost/p/9521711.html）这位大佬总结的非常到位

13.3使用Typetoken获取泛型的参数（https://www.cnblogs.com/frankyou/p/8623854.html）

val gson = Gson() gson.fromJson()实现json数据与类之间的转换补充用到的两种写法

val result = response?.body()?.string()//.body()公开获取响应的流 val gson = Gson()
//括号内是拿到的json转化后的string，将要转化为相应的类val list=gson.fromJson<<List<HomeItemBean>>(result,object : Typetoken<List<HomeItemBean>>(){}.type)val gson = Gson()val resultBean = gson.fromJson(result, HomeItemBeanSuccess::class.java!!)val userBeanList = resultBean.getResult()

 private fun loadDatas() {//4.1.1三行架构val client = OkHttpClient()val request = Request.Builder().url("https://api.apiopen.top/musicRankingsDetails?type=1").get()//get方法.build()//4.1.2传入队列与结果回调client.newCall(request).enqueue(object : Callback {//4.1.3回调实现两个方法 Aoverride fun onFailure(call: Call, e: IOException) {myToast("获取数据失败")   //测试出现e.printStackTrace()}//4.1.3回调实现两个方法 Boverride fun onResponse(call: Call?, response: Response?) {myToast("获取数据成功")//4.14查看结果集  根据数据结果集来编写Bean类(model->HomeItemBean)val result = response?.body()?.string()//.body()公开获取响应的流  .string()得到字符串println("获取数据成功:" + result)println("获取线程名" + Thread.currentThread().name) //调试方法 发现是子线程调用 主线程会有main// 4.15 导包Gsonval gson = Gson()val resultBean = gson.fromJson(result, HomeItemBeanSuccess::class.java!!)
//对象中拿到集合val userBeanList = resultBean.getResult()println("获取数据成功111:"+userBeanList.toString())//查看结果size 返回条目*/}})}

这是生成的数据类

package com.ywjh.farawayplayer.modelclass HomeItemBeanSuccess {private var code: Int = 0private var message: String? = nullprivate var result: List<ResultBean>? = null  //result 结果集fun getCode(): Int {return code}fun setCode(code: Int) {this.code = code}fun getMessage(): String? {return message}fun setMessage(message: String) {this.message = message}fun getResult(): List<ResultBean>? {return result}fun setResult(result: List<ResultBean>) {this.result = result}class ResultBean {/*** country : 内地* piao_id : 0* res_encryption_flag : 0* mv_provider : 0000000000* biaoshi : lossless,perm-1* artist_name : 冷凡* is_first_publish : 0* language : 国语* album_1000_1000 : http://qukufile2.qianqian.com/data2/pic/55f472ef374d4e3af0b7935a9df9437f/672600403/672600403.jpg* korean_bb_song : 0* pic_huge : http://qukufile2.qianqian.com/data2/pic/55f472ef374d4e3af0b7935a9df9437f/672600403/672600403.jpg* all_rate : 96,128,224,320,flac* song_source : web* song_id : 672600384* album_500_500 : http://qukufile2.qianqian.com/data2/pic/55f472ef374d4e3af0b7935a9df9437f/672600403/672600403.jpg@s_2,w_500,h_500* rank : 1* pic_premium : http://qukufile2.qianqian.com/data2/pic/55f472ef374d4e3af0b7935a9df9437f/672600403/672600403.jpg@s_2,w_500,h_500* album_800_800 :* info :* area : 0* si_proxycompany : 北京万上文化传媒有限公司* has_mv_mobile : 0* is_new : 1* author : 冷凡* resource_type : 0* has_filmtv : 0* all_artist_ting_uid : 340249647* artist_id : 559712946* versions :* publishtime : 2019-12-02* style :* album_id : 672600382* album_no : 1* resource_type_ext : 0* del_status : 0* hot : 18730* toneid : 0* title : 酒醉的蝴蝶* pic_big : http://qukufile2.qianqian.com/data2/pic/55f472ef374d4e3af0b7935a9df9437f/672600403/672600403.jpg@s_2,w_150,h_150* relate_status : 0* rank_change : 3* lrclink : http://qukufile2.qianqian.com/data2/lrc/62e555298f8d641824a7e58f9991f0aa/672600419/672600419.txt* file_duration : 205* havehigh : 2* charge : 0* pic_radio : http://qukufile2.qianqian.com/data2/pic/55f472ef374d4e3af0b7935a9df9437f/672600403/672600403.jpg@s_2,w_300,h_300* learn : 0* pic_s500 : http://qukufile2.qianqian.com/data2/pic/55f472ef374d4e3af0b7935a9df9437f/672600403/672600403.jpg@s_2,w_500,h_500* all_artist_id : 559712946* pic_small : http://qukufile2.qianqian.com/data2/pic/55f472ef374d4e3af0b7935a9df9437f/672600403/672600403.jpg@s_2,w_90,h_90* bitrate_fee : {"0":"0|0","1":"0|0"}* has_mv : 0* copy_type : 1* ting_uid : 340249647* album_title : 酒醉的蝴蝶*/var country: String? = nullvar piao_id: String? = nullvar res_encryption_flag: String? = nullvar mv_provider: String? = nullvar biaoshi: String? = nullvar artist_name: String? = nullvar is_first_publish: Int = 0var language: String? = nullvar album_1000_1000: String? = nullvar korean_bb_song: String? = nullvar pic_huge: String? = nullvar all_rate: String? = nullvar song_source: String? = nullvar song_id: String? = nullvar album_500_500: String? = nullvar rank: String? = nullvar pic_premium: String? = nullvar album_800_800: String? = nullvar info: String? = nullvar area: String? = nullvar si_proxycompany: String? = nullvar has_mv_mobile: Int = 0var is_new: String? = nullvar author: String? = nullvar resource_type: String? = nullvar has_filmtv: String? = nullvar all_artist_ting_uid: String? = nullvar artist_id: String? = nullvar versions: String? = nullvar publishtime: String? = nullvar style: String? = nullvar album_id: String? = nullvar album_no: String? = nullvar resource_type_ext: String? = nullvar del_status: String? = nullvar hot: String? = nullvar toneid: String? = nullvar title: String? = nullvar pic_big: String? = nullvar relate_status: String? = nullvar rank_change: String? = nullvar lrclink: String? = nullvar file_duration: Int = 0var havehigh: Int = 0var charge: Int = 0var pic_radio: String? = nullvar learn: Int = 0var pic_s500: String? = nullvar all_artist_id: String? = nullvar pic_small: String? = nullvar bitrate_fee: String? = nullvar has_mv: Int = 0var copy_type: String? = nullvar ting_uid: String? = nullvar album_title: String? = nulloverride fun toString(): String {return "ResultBean(country=$country, piao_id=$piao_id, res_encryption_flag=$res_encryption_flag, mv_provider=$mv_provider, biaoshi=$biaoshi, artist_name=$artist_name, is_first_publish=$is_first_publish, language=$language, album_1000_1000=$album_1000_1000, korean_bb_song=$korean_bb_song, pic_huge=$pic_huge, all_rate=$all_rate, song_source=$song_source, song_id=$song_id, album_500_500=$album_500_500, rank=$rank, pic_premium=$pic_premium, album_800_800=$album_800_800, info=$info, area=$area, si_proxycompany=$si_proxycompany, has_mv_mobile=$has_mv_mobile, is_new=$is_new, author=$author, resource_type=$resource_type, has_filmtv=$has_filmtv, all_artist_ting_uid=$all_artist_ting_uid, artist_id=$artist_id, versions=$versions, publishtime=$publishtime, style=$style, album_id=$album_id, album_no=$album_no, resource_type_ext=$resource_type_ext, del_status=$del_status, hot=$hot, toneid=$toneid, title=$title, pic_big=$pic_big, relate_status=$relate_status, rank_change=$rank_change, lrclink=$lrclink, file_duration=$file_duration, havehigh=$havehigh, charge=$charge, pic_radio=$pic_radio, learn=$learn, pic_s500=$pic_s500, all_artist_id=$all_artist_id, pic_small=$pic_small, bitrate_fee=$bitrate_fee, has_mv=$has_mv, copy_type=$copy_type, ting_uid=$ting_uid, album_title=$album_title)"}}}
//    /**
//     * code : 0
//     * msg : SUCCESS
//     * now : 1575866247681
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//     * cost : 1487
//     */
//
//    var code: String? = null
//    var msg: String? = null
//    var now: Long = 0
//    var cost: Int = 0
//    var data: List<DataBean>? = null
//
//    class DataBean {
//        /**
//         * type : VIDEO
//         * id : 3395154
//         * title : 夜的尽头 官方版
//         * description : 鹿晗
//         * posterPic : http://img3.c.yinyuetai.com/others/mobile_front_page/190903/0/-M-3786ad47009baa9a37142b8e0ede531a_0x0.jpg
//         * thumbnailPic : http://img4.c.yinyuetai.com/video/mv/190903/0/-M-a81ae33b8e6a026706ff5ce51b0a6315_240x135.jpg
//         * url : http://hc.yinyuetai.com/uploads/videos/common/FF0E016CF4EEF23105AAF686F7CF7A87.mp4?sc=c7fca97c22eec76b&br=783&rd=Android
//         * hdUrl : http://hc.yinyuetai.com/uploads/videos/common/FF0E016CF4EEF23105AAF686F7CF7A87.mp4?sc=c7fca97c22eec76b&br=783&rd=Android
//         * uhdUrl : http://hd.yinyuetai.com/uploads/videos/common/9916016CF4F5ECD8529154BC758F24EC.mp4?sc=40bae07535e4be72&br=1109&rd=Android
//         * videoSize : 21910587
//         * hdVideoSize : 21910587
//         * uhdVideoSize : 31003345
//         * status : 200
//         * clickUrl : https://mapiv2.yinyuetai.com/statistics/click.json?id=6582
//         * subType : VIDEO
//         */
//
//        var type: String? = null
//        var id: Int = 0
//        var title: String? = null
//        var description: String? = null
//        var posterPic: String? = null
//        var thumbnailPic: String? = null
//        var url: String? = null
//        var hdUrl: String? = null
//        var uhdUrl: String? = null
//        var videoSize: Int = 0
//        var hdVideoSize: Int = 0
//        var uhdVideoSize: Int = 0
//        var status: Int = 0
//        var clickUrl: String? = null
//        var subType: String? = null
//    }
//}

//result 是返回的数据（string类型）
//传一个泛型List<> 打开一下(传一个json srting，传一个type用TypenToken， ) 固定写法...{}打开一下TypeToken<List<HomeItemBean>>{}.type报错因为传的是一个匿名内部类转一下object就好了

val list=gson.fromJson<List<HomeItemBeanSuccess>>(result,object TypeToken<List<HomeItemBean>>{}.gettype)println("获取数据成功:"+list.size)//查看结果size 返回条目*/

TypeToken的使用非常简单，如上面的代码，只要将需要获取类型的泛型类作为TypeToken的泛型参数构造一个匿名的子类，就可以通过getType()方法获取到我们使用的泛型类的泛型参数类型。

Gson包进行Json和Java对象之间的转化，普通类用原来的写法就好了，一个json返回的字符串类型，再将类传入就好了

对于包含泛型的类的序列化和反序列化Gson也提供了很好的支持

对于上面的类Foo<T>，由于在运行期间无法得知T的具体类型，对这个类的对象进行序列化和反序列化都不能正常进行。Gson通过借助TypeToken类来解决这个问题。

https://www.cnblogs.com/reboost/p/9521711.html

感谢这位dalao解决了我在获取返回格式上的疑惑

Gson fromJson() 用法

1.纯数组JSON

字符串转换

[ {"name": "zhangsan","age": "10","phone": "11111","email": "11111@11.com"},

{"name": "lisi","age": "20","phone": "22222","email": "22222@22.com"},

...]

解析代码如下：

public class UserBean {

//变量名跟JSON数据字段名必须一致

private String name ;

private String age;

private String phone;

private String email;

...

}

//拿到本地JSON 并转成String

String strByJson = ConstructTestJsonStr();//此处函数内容省略

//Json的解析类对象

JsonParser parser = new JsonParser();

//将JSON的String 转成一个JsonArray对象

JsonArray jsonArray = parser.parse(strByJson).getAsJsonArray();

Gson gson = new Gson();

ArrayList<UserBean> userBeanList = new ArrayList<>();

//加强for循环遍历JsonArray

for (JsonElement user : jsonArray) {

//使用GSON，直接转成Bean对象

UserBean userBean = gson.fromJson(user, UserBean.class);

userBeanList.add(userBean);

}

2.有数据头的纯数组

数据转换

{"muser": [{"name": "zhangsan","age": "10","phone": "11111","email": "11111@11.com"},

           {"name": "lisi","age": "20","phone": "22222","email": "22222@22.com"},...]
}

//解析有数据头的纯数组

//拿到本地JSON 并转成String

String strByJson = ConstructTestJsonStr();//此处函数内容省略；

//先转JsonObject

JsonObject jsonObject = new JsonParser().parse(strByJson).getAsJsonObject();

//再转JsonArray 加上数据头

JsonArray jsonArray = jsonObject.getAsJsonArray("muser");

Gson gson = new Gson();

ArrayList<UserBean> userBeanList = new ArrayList<>();

//循环遍历

for (JsonElement user : jsonArray) {

//通过反射得到UserBean.class

UserBean userBean = gson.fromJson(user, new TypeToken<UserBean>() {}.getType());

userBeanList.add(userBean);

}

3.有数据头的复杂

数据转换

{ "code": 200,"msg": "OK",

 "muser": [{"name": "zhangsan","age": "10","phone": "11111","email":"11111@11.com"},

           {"name": "lisi","age": "20","phone": "22222","email": "22222@22.com"},

           ...]

被解析对象不是纯数组数据，还有其它字段+数组（含头），方法如下：

根据 JSON 建立Bean，注意这里的 Bean 是返回所有字段，因为 GSON 能直接解析成 List ，所以 Bean 是下面这样的，同样把占地方的get/set省略：

public class ResultBean {

    //注意变量名与字段名必须一致

    private int code;

    private String msg;

    private List<UserBean> muser;

    public class UserBean{

        private String name ;

        private String age;

        private String phone;

        private String email;

...

...

//有消息头 复杂数据 常规方式 方法如下

//拿到Json字符串

String strByJson =  ConstructTestJsonStr();//此处函数内容省略；

//GSON直接解析成对象

ResultBean resultBean = new Gson().fromJson(strByJson,ResultBean.class);

//对象中拿到集合

List<ResultBean.UserBean> userBeanList = resultBean.getMuser();

三句话搞定，由此看出GSON的强大

4.只解析复杂JSON中的

数组或数组中的某部分内容

有数据头复杂数据截取方式，如对第3例中JSON数据内容只想取“muser”数组中年龄（age）大于30岁的怎么办？

方法1：全部解析，再从 List 中取。（但假如有1万条数据？全部解析太麻烦），方法2：条件遍历！（以下代码示例）：

//解析代码：

//拿到JSON字符串

String strByJson = ConstructTestJsonStr();//此处函数内容省略；

List<UserBean> userBeanList = new ArrayList<>();

//拿到数组

JsonObject jsonObject = new JsonParser().parse(strByJson).getAsJsonObject();

JsonArray jsonArray = jsonObject.getAsJsonArray("muser");

//循环遍历数组

for (JsonElement user : jsonArray) {

UserBean userBean = new Gson().fromJson(user, new TypeToken<UserBean>() {

}.getType());

//根据条件过滤

if (Integer.parseInt(userBean.getAge()) > 30) {

userBeanList.add(userBean);

}

5.嵌套超复杂JSON

数据转换

三种方式：1，全部解析出来；2，要什么解析什么；3，JsonReader，第1/2招前述已解释，下面示例JsonReader（类似逐节点解释XML）

//通过JsonReader的方式去解析

private void parseComplexJArrayByReader() throws IOException {

String strByJson = JsonToStringUtil.getStringByJson(this, R.raw.juser_4);

JsonReader reader = new JsonReader(new StringReader(strByJson));

try {

reader.beginObject();

String tagName = reader.nextName();

if (tagName.equals("group")) {

//读group这个节点

readGroup(reader);

}

reader.endObject();

} finally {

reader.close();

}

//读group这个节点

private void readGroup(JsonReader reader) throws IOException {

reader.beginObject();

while (reader.hasNext()) {

String tagName = reader.nextName();

if (tagName.equals("user")) {

readUser(reader);

} else if (tagName.equals("info")) {

readInfo(reader);

}

reader.endObject();

}

//读用户基本消息 user节点

private void readUser(JsonReader reader) throws IOException {

reader.beginObject();

while (reader.hasNext()) {

String tag = reader.nextName();

if (tag.equals("name")) {

String name = reader.nextString();

nameText.setText(name);

} else if (tag.equals("age")) {

String age = reader.nextString();

ageText.setText(age);

}

...

else {

reader.skipValue();//忽略

}

reader.endObject();

}

//读用户其他消息 info节点

private void readInfo(JsonReader reader) throws IOException {

reader.beginObject();

while (reader.hasNext()) {

String tag = reader.nextName();

if (tag.equals("address")) {

String address = reader.nextString();

addressText.setText(address);

} else if (tag.equals("work")) {

String work = reader.nextString();

workText.setText(work);

}

...

else {

reader.skipValue();//忽略

}

reader.endObject();

}

6.简单数据+LIST+MAP

转换

public class Student {

public int id;

public String nickName;

public int age;

public ArrayList<String> books;

public HashMap<String, String> booksMap;

}

Student student = new Student();

student.id = 1;

student.nickName = "Jack";

student.age = 22;

student.email = "tr@qq.com";

ArrayList<String> books = new ArrayList<String>();

books.add("数学");

books.add("语文");

books.add("英语");

books.add("物理");

books.add("化学");

books.add("生物");

student.books = books;

HashMap<String, String> booksMap = new HashMap<String, String>();

booksMap.put("1", "数学");

booksMap.put("2", "语文");

booksMap.put("3", "英语");

booksMap.put("4", "物理");

booksMap.put("5", "化学");

booksMap.put("6", "生物");

student.booksMap = booksMap;

Gson gson = new Gson();

String result = gson.toJson(student);

Student studentG = gson.fromJson(result, Student.class);

Log.e("MainActivity", "id:" + studentG.id);

Log.e("MainActivity", "nickName:" + studentG.nickName);

Log.e("MainActivity", "age:" + studentG.age);

Log.e("MainActivity", "email:" + studentG.email);

Log.e("MainActivity", "books size:" + studentG.books.size());

Log.e("MainActivity", "booksMap size:" + studentG.booksMap.size());

打印输出

id:1

nickName: Jack

age:22

email:tr@qq.com

books size:6

booksMap size:6

7.把List或者Map等集合

的泛型换成自定义个class

泛型定义

public HashMap<String,Book> booksMap;

public class Book{

public int id;

public String name;

}

HashMap<String, Book> booksMap = gson.fromJson(result, new TypeToken<HashMap<String, Book>>() { }.getType());

Gson gson = new Gson();

HashMap<String, Book> booksMap = new HashMap<>();

booksMap.put("book1", new Book(1, "Java基础开发"));

booksMap.put("book2", new Book(2, "Java设计模式"));

booksMap.put("book3", new Book(3, "Java算法"));

String dataStr = gson.toJson(booksMap);

System.out.println("dataStr:" + dataStr);

HashMap<String, Book> booksMap2 = gson.fromJson(dataStr, new TypeToken<HashMap<String, Book>>() {

}.getType());

for (Map.Entry<String, Book> entry : booksMap2.entrySet()) {

System.out.println("key:"+entry.getKey() + " value:" + entry.getValue().toString());

}

输出结果

dataStr:{"book2":{"id":2,"name":"Java设计模式"},"book1":{"id":1,"name":"Java基础开发"},"book3":{"id":3,"name":"Java算法"}}

key:book2 value:Book{id=2, name='Java设计模式'}

key:book1 value:Book{id=1, name='Java基础开发'}

key:book3 value:Book{id=3, name='Java算法'}

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