使用 Openweather API 獲取特定日期的天氣 - 解析 JSON 響應

Question

我正在嘗試使用 Android studio 和 Java 構建一個簡單的天氣預報應用程序。 我按照這里的一些說明（ https://www.androdocs.com/java/creating-an-android-weather-app-using-java.html ）啟動並運行，這很有效。 但是，我只能得到當前的天氣。 Openweather 預報 API 電話似乎是 5 天。 沒關系，但是我如何獲取用戶指定的未來 5 天內的特定日期的天氣（比如溫度和風速）？

下面是一個示例 JSON 響應（縮短）。 即使我可以在下午 12 點提取特定日期的信息，並獲得該日期的溫度和風速，也足夠了。 如何解析此 JSON 響應以獲取特定日期的溫度和風速？ 非常感謝...對不起我是初學者...

{"cod":"200","message":0,"cnt":40,"list":[{"dt":1574283600,"main":{"temp":281.75,"temp_min":281.68, "temp_max":281.75,"壓力":995,"sea_level":995,"grnd_level":980,"濕度":93,"temp_kf":0.07},"天氣":[{"id":501," main":"Rain","description":"中雨","icon":"10n"}],"clouds":{"all":100},"wind":{"speed":4.82,"度":147},"雨":{"3h":5.38},"sys":{"pod":"n"},"dt_txt":"2019-11-20 21:00:00"}, {"dt":1574294400,"main":{"temp":281.79,"temp_min":281.74,"temp_max":281.79,"pressure":995,"sea_level":995,"grnd_level":980,"濕度":91,"temp_kf":0.05},"weather":[{"id":500,"main":"Rain","description":"小雨","icon":"10n"}], "clouds":{"all":100},"wind":{"speed":5.55,"deg":140},"rain":{"3h":1.75},"sys":{"pod" :"n"},"dt_txt":"2019-11-21 00:00:00"},{"dt":1574305200,"main":{"temp":279.48,"temp_min":279.44,"temp_max ":279.48,"壓力":994,"sea_level":994,"grnd_level":980,"濕度":95,"temp_kf":0.04},"天氣":[{"id":500,"main" :"Rain","description":"小雨","icon":"10n"}],"clouds":{"all":100}, "風":{"速度":2.37,"deg":155},"雨":{"3h":0.94},"sys":{"pod":"n"},"dt_txt":"2019 -11-21 03:00:00"},{"dt":1574316000,"main":{"temp":278.56,"temp_min":278.54,"temp_max":278.56,"pressure":995,"sea_level ":995,"grnd_level":980,"濕度":94,"temp_kf":0.02},"weather":[{"id":500,"main":"Rain","description":"小雨","icon":"10n"}],"clouds":{"all":100},"wind":{"speed":1.73,"deg":128},"rain":{"3h" :0.06},"sys":{"pod":"n"},"dt_txt":"2019-11-21 06:00:00"},{"dt":1574326800,"main":{"temp ":279.19,"temp_min":279.19,"temp_max":279.19,"壓力":995,"sea_level":995,"grnd_level":981,"濕度":95,"temp_kf":0},"天氣" :[{"id":804,"main":"Clouds","description":"陰雲","icon":"04d"}],"clouds":{"all":100},"wind ":{"speed":1.79,"deg":104},"sys":{"pod":"d"},"dt_txt":"2019-11-21 09:00:00"},{" dt":1574337600,"main":{"temp":282.2,"temp_min":282.2,"temp_max":282.2,"pressure":995,"sea_level":995,"grnd_level":980,"濕度": 85,"temp_kf":0},"weather":[{"id":500,"main":"Rain","description":"小雨"," icon":"10d"}],"clouds":{"all":100},"wind":{"speed":2.78,"deg":129},"rain":{"3h":0.19} ,"sys":{"pod":"d"},"dt_txt":"2019-11-21 12:00:00"}

Answer 1

JSON-簡單

這是一個使用JSON-Simple庫解析從OpenWeatherMap.org下載的 JSON 數據的示例應用程序。

package work.basil.example;

import org.json.simple.JSONArray;
import org.json.simple.JSONObject;
import org.json.simple.parser.JSONParser;
import org.json.simple.parser.ParseException;

import java.io.BufferedReader;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.InputStreamReader;
import java.net.URL;
import java.net.URLConnection;
import java.time.Instant;
import java.time.ZoneId;
import java.time.ZonedDateTime;

public class Weather
{

    public static void main ( String[] args )
    {

        Weather app = new Weather();
        app.demo();
    }

    private void demo ( )
    {
        //Creating a JSONParser object
        JSONParser jsonParser = new JSONParser();
        try
        {
            // Download JSON.
            String yourKey = "b6907d289e10d714a6e88b30761fae22";
            URL url = new URL( "https://samples.openweathermap.org/data/2.5/forecast/hourly?zip=79843&appid=b6907d289e10d714a6e88b30761fae22" + yourKey ); // 79843 = US postal Zip Code for Marfa, Texas.
            URLConnection conn = url.openConnection();
            BufferedReader reader = new BufferedReader( new InputStreamReader( conn.getInputStream() ) );


            // Parse JSON
            JSONObject jsonObject = ( JSONObject ) jsonParser.parse( reader );
            System.out.println( "jsonObject = " + jsonObject );

            JSONArray list = ( JSONArray ) jsonObject.get( "list" );
            System.out.println( "list = " + list );

            // Loop through each item
            for ( Object o : list )
            {
                JSONObject forecast = ( JSONObject ) o;

                Long dt = ( Long ) forecast.get( "dt" );          // Parse text into a number of whole seconds.
                Instant instant = Instant.ofEpochSecond( dt );    // Parse the count of whole seconds since 1970-01-01T00:00Z into a `Instant` object, representing a moment in UTC with a resolution of nanoseconds.
                ZoneId z = ZoneId.of( "America/Chicago" );        // Specify a time zone using a real `Continent/Region` time zone name. Never use 2-4 letter pseudo-zones such as `PDT`, `CST`, `IST`, etc.
                ZonedDateTime zdt = instant.atZone( z );          // Adjust from a moment in UTC to the wall-clock used by the people of a particular region (a time zone). Same moment, same point on the timeline, different wall-clock time.
                LocalTime lt = zdt.toLocalTime() ;
                // … compare with lt.equals( LocalTime.NOON ) to find the data sample you desire. 
                System.out.println( "dt : " + dt );
                System.out.println( "instant : " + instant );
                System.out.println( "zdt : " + zdt );

                JSONObject main = ( JSONObject ) forecast.get( "main" );
                System.out.println( "main = " + main );


                Double temp = ( Double ) main.get( "temp" );  // Better to use BigDecimal instead of Double for accuracy. But I do not know how to get the JSON-Simple library to parse the original string input as a BigDecimal.
                System.out.println( "temp = " + temp );

                JSONObject wind = ( JSONObject ) forecast.get( "wind" );
                System.out.println( "wind = " + wind );

                System.out.println( "BASIL - wind.getCLass: " + wind.getClass() );
                Double speed = ( Double ) wind.get( "speed" );
                System.out.println( "speed = " + speed );

                System.out.println( "\n" );
            }
        }
        catch ( FileNotFoundException e )
        {
            e.printStackTrace();
        }
        catch ( IOException e )
        {
            e.printStackTrace();
        }
        catch ( ParseException e )
        {
            e.printStackTrace();
        }
    }
}

小數分隔符

請注意，當遇到缺少小數點分隔符的風速數據點時，此代碼會崩潰。 例如，該數據的發布者應該寫入1.0而不是1以保持一致性。 如果他們這樣做了，庫會將1.0解析為Double而不是將1解析為Long 。

JSON-Simple 1現已失效

此代碼還使用 JSON-Simple 的原始版本 1，現已失效。 這個項目是分叉的，產生了截然不同的版本 2 和 3。

請參閱此頁面使用 JSON-Simple (Java) 在 JSON 數據中解析十進制數字，其中一些缺少小數分隔符，以獲取有關解析十進制問題和分叉項目鏈接的詳細信息。

不用於生產用途

因此，雖然我不建議將此代碼用於生產用途，但它可能會對您有所幫助。 對於實際工作，請考慮 JSON-Simple 的更高版本 3 或可用於 Java 的其他幾個 JSON 處理庫中的任何一個。

請參閱此 URL中的示例數據。 要使其可讀，請使用您的文本編輯器或IDE重新格式化 JSON 數據。

樣品 output：

dt : 1553709600
instant : 2019-03-27T18:00:00Z
zdt : 2019-03-27T13:00-05:00[America/Chicago]
main = {"temp":286.44,"temp_min":286.258,"grnd_level":1002.193,"temp_kf":0.18,"humidity":100,"pressure":1015.82,"sea_level":1015.82,"temp_max":286.44}
temp = 286.44
wind = {"deg":202.816,"speed":5.51}
speed = 5.51


dt : 1553713200
instant : 2019-03-27T19:00:00Z
zdt : 2019-03-27T14:00-05:00[America/Chicago]
main = {"temp":286.43,"temp_min":286.3,"grnd_level":1002.667,"temp_kf":0.13,"humidity":100,"pressure":1016.183,"sea_level":1016.183,"temp_max":286.43}
temp = 286.43
wind = {"deg":206.141,"speed":4.84}
speed = 4.84

Answer 2

You can serialize the response JSON string to POJOs by any one of the most popular JSON libraries such as Jackson or Gson , then retrieve fields you want of the object whose date field equals given date. 順便說一句，您的 JSON 字符串無效，末尾缺少]} 。

POJO

@JsonIgnoreProperties(ignoreUnknown = true)
class Response {
    List<Weather> list;

    //general getters and setters
}

@JsonIgnoreProperties(ignoreUnknown = true)
class Weather {
    JsonNode main;
    JsonNode wind;

    @JsonProperty("dt_txt")
    String dtTxt;

    //general getters and setters
}

使用@JsonIgnoreProperties （由Jackson 提供）忽略序列化時您不關心的那些字段。

代碼片段

ObjectMapper mapper = new ObjectMapper();
Response response = mapper.readValue(jsonStr, Response.class);

String givenDate = "2019-11-21 12:00:00";
response.getList().forEach(e -> {
    if (givenDate.equals(e.getDtTxt())) {
        System.out.println("temp: " + e.getMain().get("temp").asText());
        System.out.println("wind speed:" + e.getWind().get("speed").asText());
    }
});

控制台 output

溫度：282.2
風速：2.78