Android解析中国天气网的Json数据

在Android开发中,一般的APP都是通过获取服务器端的数据来更新UI,从服务器获取到的数据可以是Json,它的数据量要比XML要小,这里解析中国天气网上获取的数据,虽然已经不再更新了,但用来学习还是可以的,为了方便我直接到数据通过txt保存到本地,它的数据可以通过这个页面获取:http://m.weather.com.cn/data/101280601.html

目录结构


其实解析也很简单,关键代码

private void json3() {
		InputStream inputStream = null;
		String weatherinfo = null;
		try {
			System.out.println("-------------------------------->json3");
			inputStream = getResources().getAssets().open("weather.txt");
			weatherinfo = convertStreamToString(inputStream);

		} catch (IOException e1) {
			// TODO Auto-generated catch block
			e1.printStackTrace();
		}
		// 获取JSONObject对象
		JSONObject jsonobject = null;
		JSONObject jsoncity = null;
		try {
			jsonobject = new JSONObject(weatherinfo);
			jsoncity = new JSONObject(jsonobject.getString("weatherinfo"));
			WeatherInfo info = new WeatherInfo();
			info.city = jsoncity.getString("city");
			info.cityid = jsoncity.getString("cityid");
			info.city_en = jsoncity.getString("city_en");
			info.date = jsoncity.getString("date");
			info.date_y = jsoncity.getString("date_y");
			info.fchh = jsoncity.getString("fchh");
			info.fl[0] = jsoncity.getString("fl1");
			info.fl[1] = jsoncity.getString("fl2");
			info.fl[2] = jsoncity.getString("fl3");
			info.fl[3] = jsoncity.getString("fl4");
			info.fl[4] = jsoncity.getString("fl5");
			info.fl[5] = jsoncity.getString("fl6");
			info.fx[0] = jsoncity.getString("fx1");
			info.fx[1] = jsoncity.getString("fx2");
			info.img[0] = jsoncity.getString("img1");
			info.img[1] = jsoncity.getString("img2");
			info.img[2] = jsoncity.getString("img3");
			info.img[3] = jsoncity.getString("img4");
			info.img[4] = jsoncity.getString("img5");
			info.img[5] = jsoncity.getString("img6");
			info.img[6] = jsoncity.getString("img7");
			info.img[7] = jsoncity.getString("img8");
			info.img[8] = jsoncity.getString("img9");
			info.img[9] = jsoncity.getString("img10");
			info.img[10] = jsoncity.getString("img11");
			info.img[11] = jsoncity.getString("img12");
			info.img_single = jsoncity.getString("img_single");
			info.img_title[0] = jsoncity.getString("img_title1");
			info.img_title[1] = jsoncity.getString("img_title2");
			info.img_title[2] = jsoncity.getString("img_title3");
			info.img_title[3] = jsoncity.getString("img_title4");
			info.img_title[4] = jsoncity.getString("img_title5");
			info.img_title[5] = jsoncity.getString("img_title6");
			info.img_title[6] = jsoncity.getString("img_title7");
			info.img_title[7] = jsoncity.getString("img_title8");
			info.img_title[8] = jsoncity.getString("img_title9");
			info.img_title[9] = jsoncity.getString("img_title10");
			info.img_title[10] = jsoncity.getString("img_title11");
			info.img_title[11] = jsoncity.getString("img_title12");
			info.img_title_single = jsoncity.getString("img_title_single");
			info.temp[0] = jsoncity.getString("temp1");
			info.temp[1] = jsoncity.getString("temp2");
			info.temp[2] = jsoncity.getString("temp3");
			info.temp[3] = jsoncity.getString("temp4");
			info.temp[4] = jsoncity.getString("temp5");
			info.temp[5] = jsoncity.getString("temp6");
			info.tempF[0] = jsoncity.getString("tempF1");
			info.tempF[1] = jsoncity.getString("tempF2");
			info.tempF[2] = jsoncity.getString("tempF3");
			info.tempF[3] = jsoncity.getString("tempF4");
			info.tempF[4] = jsoncity.getString("tempF5");
			info.tempF[5] = jsoncity.getString("tempF6");
			info.weather[0] = jsoncity.getString("weather1");
			info.weather[1] = jsoncity.getString("weather2");
			info.weather[2] = jsoncity.getString("weather3");
			info.weather[3] = jsoncity.getString("weather4");
			info.weather[4] = jsoncity.getString("weather5");
			info.weather[5] = jsoncity.getString("weather6");
			info.week = jsoncity.getString("week");
			info.wind[0] = jsoncity.getString("wind1");
			info.wind[1] = jsoncity.getString("wind2");
			info.wind[2] = jsoncity.getString("wind3");
			info.wind[3] = jsoncity.getString("wind4");
			info.wind[4] = jsoncity.getString("wind5");
			info.wind[5] = jsoncity.getString("wind6");
			info.img_title[0] = jsoncity.getString("img_title1");
			System.out.println("json = " + info.toString());
		} catch (JSONException e) {
			e.printStackTrace();
		}
	}
我把天气信息单独封装出来

package com.example.jsondemo.domain;

import java.util.Arrays;

public class WeatherInfo {

	public String city;
	public String cityid;
	public String city_en;
	public String date;
	public String date_y;

	public String fchh;
	public String fl[];
	public String fx[];
	public String img[];
	public String img_single;
	public String img_title[];
	public String img_title_single;
	public String index;
	public String index48;
	public String index48_d;
	public String index48_uv;
	public String index_ag;

	public String index_cl;
	public String index_co;
	public String index_d;
	public String index_ls;
	public String index_tr;
	public String index_uv;
	public String index_xc;
	public String st[];
	public String temp[];

	public String tempF[];
	public String weather[];
	public String week;
	public String wind[];

	public WeatherInfo() {
		fl = new String[6];
		fx = new String[2];
		img = new String[12];
		img_title = new String[12];
		st = new String[6];
		temp = new String[6];
		tempF = new String[6];
		weather = new String[6];
		wind = new String[6];
	}

	@Override
	public String toString() {
		return "weatherinfo [city=" + city + ", cityid=" + cityid
				+ ", city_en=" + city_en + ", date=" + date + ", date_y="
				+ date_y + ", fchh=" + fchh + ", fl=" + Arrays.toString(fl)
				+ ", fx=" + Arrays.toString(fx) + ", img="
				+ Arrays.toString(img) + ", img_single=" + img_single
				+ ", img_title=" + Arrays.toString(img_title)
				+ ", img_title_single=" + img_title_single + ", index=" + index
				+ ", index48=" + index48 + ", index48_d=" + index48_d
				+ ", index48_uv=" + index48_uv + ", index_ag=" + index_ag
				+ ", index_cl=" + index_cl + ", index_co=" + index_co
				+ ", index_d=" + index_d + ", index_ls=" + index_ls
				+ ", index_tr=" + index_tr + ", index_uv=" + index_uv
				+ ", index_xc=" + index_xc + ", st=" + Arrays.toString(st)
				+ ", temp=" + Arrays.toString(temp) + ", tempF="
				+ Arrays.toString(tempF) + ", weather="
				+ Arrays.toString(weather) + ", week=" + week + ", wind="
				+ Arrays.toString(wind) + "]";
	}

}

解析出来的结果


对于Json数据有几个网站可以进行校验,检验是不是规范的Json格式

http://jsonviewer.stack.hu/

http://json.parser.online.fr/

这些网站可以对Json数据进行格式化,看起来更方便

           

如果格式有错,会有提示,方便我们修改,有一点需要注意,创建文件保存Json数据时不能有换行

以下是错误的,这是为了我们方便理解

{
  "weatherinfo": {
    "city": "深圳",
    "city_en": "shenzhen",
    "date_y": "2014年3月4日",
    "date": "",
    "week": "星期二",
    "fchh": "11",
    "cityid": "101280601",
    "temp1": "20℃~15℃",
    "temp2": "20℃~15℃",
    "temp3": "21℃~16℃",
    "temp4": "19℃~16℃",
    "temp5": "20℃~15℃",
    "temp6": "19℃~14℃",
    "tempF1": "68℉~59℉",
    "tempF2": "68℉~59℉",
    "tempF3": "69.8℉~60.8℉",
    "tempF4": "66.2℉~60.8℉",
    "tempF5": "68℉~59℉",
    "tempF6": "66.2℉~57.2℉",
    "weather1": "多云",
    "weather2": "小雨",
    "weather3": "小雨",
    "weather4": "阴转小雨",
    "weather5": "小雨",
    "weather6": "小雨转阴",
    "img1": "1",
    "img2": "99",
    "img3": "7",
    "img4": "99",
    "img5": "7",
    "img6": "99",
    "img7": "2",
    "img8": "7",
    "img9": "7",
    "img10": "99",
    "img11": "7",
    "img12": "2",
    "img_single": "1",
    "img_title1": "多云",
    "img_title2": "多云",
    "img_title3": "小雨",
    "img_title4": "小雨",
    "img_title5": "小雨",
    "img_title6": "小雨",
    "img_title7": "阴",
    "img_title8": "小雨",
    "img_title9": "小雨",
    "img_title10": "小雨",
    "img_title11": "小雨",
    "img_title12": "阴",
    "img_title_single": "多云",
    "wind1": "微风",
    "wind2": "微风",
    "wind3": "东风3-4级",
    "wind4": "微风",
    "wind5": "微风",
    "wind6": "微风",
    "fx1": "微风",
    "fx2": "微风",
    "fl1": "小于3级",
    "fl2": "小于3级",
    "fl3": "3-4级",
    "fl4": "小于3级",
    "fl5": "小于3级",
    "fl6": "小于3级",
    "index": "较舒适",
    "index_d": "建议着薄外套、开衫牛仔衫裤等服装。年老体弱者应适当添加衣物,宜着夹克衫、薄毛衣等。",
    "index48": "较舒适",
    "index48_d": "建议着薄外套、开衫牛仔衫裤等服装。年老体弱者应适当添加衣物,宜着夹克衫、薄毛衣等。",
    "index_uv": "弱",
    "index48_uv": "最弱",
    "index_xc": "不宜",
    "index_tr": "适宜",
    "index_co": "舒适",
    "st1": "20",
    "st2": "15",
    "st3": "21",
    "st4": "15",
    "st5": "21",
    "st6": "14",
    "index_cl": "适宜",
    "index_ls": "适宜",
    "index_ag": "极易发"
  }
}
以下格式是才是正确的

{"weatherinfo":{"city":"深圳","city_en":"shenzhen","date_y":"2014年3月4日","date":"","week":"星期二","fchh":"11","cityid":"101280601","temp1":"20℃~15℃","temp2":"20℃~15℃","temp3":"21℃~16℃","temp4":"19℃~16℃","temp5":"20℃~15℃","temp6":"19℃~14℃","tempF1":"68℉~59℉","tempF2":"68℉~59℉","tempF3":"69.8℉~60.8℉","tempF4":"66.2℉~60.8℉","tempF5":"68℉~59℉","tempF6":"66.2℉~57.2℉","weather1":"多云","weather2":"小雨","weather3":"小雨","weather4":"阴转小雨","weather5":"小雨","weather6":"小雨转阴","img1":"1","img2":"99","img3":"7","img4":"99","img5":"7","img6":"99","img7":"2","img8":"7","img9":"7","img10":"99","img11":"7","img12":"2","img_single":"1","img_title1":"多云","img_title2":"多云","img_title3":"小雨","img_title4":"小雨","img_title5":"小雨","img_title6":"小雨","img_title7":"阴","img_title8":"小雨","img_title9":"小雨","img_title10":"小雨","img_title11":"小雨","img_title12":"阴","img_title_single":"多云","wind1":"微风","wind2":"微风","wind3":"东风3-4级","wind4":"微风","wind5":"微风","wind6":"微风","fx1":"微风","fx2":"微风","fl1":"小于3级","fl2":"小于3级","fl3":"3-4级","fl4":"小于3级","fl5":"小于3级","fl6":"小于3级","index":"较舒适","index_d":"建议着薄外套、开衫牛仔衫裤等服装。年老体弱者应适当添加衣物,宜着夹克衫、薄毛衣等。","index48":"较舒适","index48_d":"建议着薄外套、开衫牛仔衫裤等服装。年老体弱者应适当添加衣物,宜着夹克衫、薄毛衣等。","index_uv":"弱","index48_uv":"最弱","index_xc":"不宜","index_tr":"适宜","index_co":"舒适","st1":"20","st2":"15","st3":"21","st4":"15","st5":"21","st6":"14","index_cl":"适宜","index_ls":"适宜","index_ag":"极易发"}}

Demo下载:http://download.csdn.net/detail/deng0zhaotai/7741419

Android解析中国天气网的Json数据,,5-wow.com

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