前言

在當(dāng)今數(shù)字化時(shí)代，數(shù)據(jù)的高效處理與轉(zhuǎn)換已成為軟件開發(fā)中不可或缺的關(guān)鍵環(huán)節(jié)。JSON（JavaScript Object Notation）作為一種輕量級的數(shù)據(jù)交換格式，因其簡潔易讀、易于解析的特點(diǎn)，在眾多領(lǐng)域被廣泛應(yīng)用，尤其是在網(wǎng)絡(luò)數(shù)據(jù)交互中。而 JavaBean 作為 Java 編程中一種重要的組件模式，能夠?qū)?shù)據(jù)封裝為對象，方便進(jìn)行操作和管理。將 JSON 數(shù)據(jù)轉(zhuǎn)換為 JavaBean，不僅能夠提升數(shù)據(jù)的可操作性，還能更好地實(shí)現(xiàn)面向?qū)ο蟮脑O(shè)計(jì)理念。在眾多的 JSON 解析庫中，GSON 以其強(qiáng)大的功能、簡潔的 API 和高效的性能脫穎而出，成為開發(fā)者處理 JSON 數(shù)據(jù)的首選工具之一。GSON 提供了簡單易用的方法，能夠輕松地將 JSON 字符串轉(zhuǎn)換為 Java 對象，同時(shí)也支持將 Java 對象序列化為 JSON 字符串。這種雙向轉(zhuǎn)換的能力，使得 GSON 在處理復(fù)雜的 JSON 數(shù)據(jù)結(jié)構(gòu)時(shí)表現(xiàn)出色，極大地簡化了開發(fā)流程。

本文將深入探討如何在 GSON 框架下，將百度天氣的 JSON 數(shù)據(jù)轉(zhuǎn)換為 JavaBean。首先，我們將詳細(xì)分析百度天氣 JSON 數(shù)據(jù)的結(jié)構(gòu)特點(diǎn)。百度天氣的 JSON 數(shù)據(jù)包含多個(gè)層次和復(fù)雜的數(shù)據(jù)字段，如城市信息、天氣狀況、溫度、風(fēng)力、空氣質(zhì)量等。了解這些數(shù)據(jù)的結(jié)構(gòu)，是實(shí)現(xiàn)準(zhǔn)確轉(zhuǎn)換的前提。我們將通過實(shí)際的 JSON 數(shù)據(jù)樣例，逐步解析每個(gè)字段的含義和作用。其次我們將進(jìn)入核心實(shí)戰(zhàn)環(huán)節(jié)。根據(jù)百度天氣 JSON 數(shù)據(jù)的結(jié)構(gòu)，設(shè)計(jì)相應(yīng)的 JavaBean 類。這些 JavaBean 類將作為數(shù)據(jù)的載體，用于存儲(chǔ)和操作天氣數(shù)據(jù)。我們將詳細(xì)介紹如何根據(jù) JSON 字段定義 JavaBean 的屬性，以及如何通過 GSON 的注解和配置來實(shí)現(xiàn)精確的映射關(guān)系。通過具體的代碼實(shí)現(xiàn)，展示如何將復(fù)雜的百度天氣 JSON 數(shù)據(jù)轉(zhuǎn)換為 JavaBean 對象，并處理可能出現(xiàn)的常見問題，如字段缺失、數(shù)據(jù)類型不匹配等。最后，我們將總結(jié) GSON 在處理百度天氣 JSON 數(shù)據(jù)時(shí)的最佳實(shí)踐和注意事項(xiàng)。通過實(shí)際案例的分析，分享如何優(yōu)化代碼結(jié)構(gòu)、提高轉(zhuǎn)換效率以及確保數(shù)據(jù)的準(zhǔn)確性和完整性。同時(shí)，我們還將探討如何利用轉(zhuǎn)換后的 JavaBean 數(shù)據(jù)進(jìn)行進(jìn)一步的業(yè)務(wù)邏輯開發(fā)，例如數(shù)據(jù)展示、數(shù)據(jù)分析等，為讀者提供更全面的實(shí)戰(zhàn)指導(dǎo)。

通過本文的深入解析和實(shí)戰(zhàn)操作，讀者將能夠掌握 GSON 框架下將百度天氣 JSON 數(shù)據(jù)轉(zhuǎn)換為 JavaBean 的完整流程，從而在實(shí)際開發(fā)中更加高效地處理類似的 JSON 數(shù)據(jù)轉(zhuǎn)換任務(wù)。無論你是初學(xué)者還是有一定經(jīng)驗(yàn)的開發(fā)者，本文都將為你提供有價(jià)值的參考和指導(dǎo)，幫助你在 JSON 數(shù)據(jù)處理領(lǐng)域邁向更高的臺(tái)階。

一、百度天氣JSON

百度天氣作為國內(nèi)知名的天氣信息服務(wù)提供商，其提供的天氣數(shù)據(jù)接口以 JSON 格式返回豐富的天氣信息，包括實(shí)時(shí)天氣、未來幾天的天氣預(yù)報(bào)、空氣質(zhì)量等。這些數(shù)據(jù)對于開發(fā)天氣相關(guān)的應(yīng)用（如天氣查詢應(yīng)用、出行規(guī)劃應(yīng)用等）具有極高的價(jià)值。然而，原始的 JSON 數(shù)據(jù)格式并不便于直接在 Java 應(yīng)用中使用，這就需要我們將 JSON 數(shù)據(jù)轉(zhuǎn)換為 JavaBean，以便更好地進(jìn)行數(shù)據(jù)處理和業(yè)務(wù)邏輯實(shí)現(xiàn)。為了更好的實(shí)現(xiàn)天氣的JSON到JavaBean的轉(zhuǎn)換，我們首先對百度天氣接口的請求參數(shù)、返回參數(shù)和屬性映射關(guān)系進(jìn)行簡單介紹。

1、請求參數(shù)

為了方便第一次閱讀本文的朋友對百度的天氣接口也有一定的了解，本文首先對百度天氣的請求參數(shù)進(jìn)行簡單介紹。如果在開發(fā)過程中已經(jīng)非常熟悉相關(guān)的接口，可以直接進(jìn)入下一個(gè)小節(jié)的內(nèi)容。用戶可通過行政區(qū)劃代碼查詢實(shí)時(shí)天氣信息及未來5天天氣預(yù)報(bào)。

注意：如果district_id和location同時(shí)傳，默認(rèn)以district_id為準(zhǔn)；

2、返回參數(shù)

除了未來幾天的天氣實(shí)況以外，未來24小時(shí)逐小時(shí)預(yù)報(bào)返回參數(shù)：

在熟悉了請求參數(shù)和返回參數(shù)之后，我們來看一下通過接口實(shí)際返回的JSON數(shù)據(jù)。

3、屬性映射

關(guān)于如何使用公共的接口來封裝百度的調(diào)用key的內(nèi)容，在之前的博文內(nèi)容有所介紹，這里不進(jìn)行贅述。這里將給出某區(qū)縣的返回結(jié)果：

通過返回的信息可以清晰的看出，百度的天氣接口返回當(dāng)前天氣實(shí)況、告警信息、生活指數(shù)、未來逐日天氣預(yù)報(bào)和未來24小時(shí)的逐小時(shí)天氣預(yù)報(bào)。而這個(gè)接口規(guī)范將支持將這個(gè)JSON反序列化成JavaBean。

二、GSON屬性映射實(shí)戰(zhàn)

本節(jié)將進(jìn)入核心實(shí)戰(zhàn)環(huán)節(jié)。根據(jù)百度天氣 JSON 數(shù)據(jù)的結(jié)構(gòu)，設(shè)計(jì)相應(yīng)的 JavaBean 類。這些 JavaBean 類將作為數(shù)據(jù)的載體，用于存儲(chǔ)和操作天氣數(shù)據(jù)。我們將詳細(xì)介紹如何根據(jù) JSON 字段定義 JavaBean 的屬性，以及如何通過 GSON 的注解和配置來實(shí)現(xiàn)精確的映射關(guān)系。通過具體的代碼實(shí)現(xiàn)，展示如何將復(fù)雜的百度天氣 JSON 數(shù)據(jù)轉(zhuǎn)換為 JavaBean 對象，并處理可能出現(xiàn)的常見問題，如字段缺失、數(shù)據(jù)類型不匹配等。

1、類對象映射

為了實(shí)現(xiàn)將JSON字符串反序列化成JavaBean，我們需要定義一個(gè)跟JSON字符串想匹配的對象。其對應(yīng)的屬性名稱應(yīng)該較為相似，包括：狀態(tài)、天氣信息對象、響應(yīng)消息字符串。核心代碼如下：

package com.yelang.project.weather.domain;
import java.io.Serializable;
import lombok.AllArgsConstructor;
import lombok.Getter;
import lombok.NoArgsConstructor;
import lombok.Setter;
import lombok.ToString;
@NoArgsConstructor
@AllArgsConstructor
@Setter
@Getter
@ToString
public class BdWeatherDTO implements Serializable {
	private static final long serialVersionUID = -3963983158543661660L;
	private int status;
	private WeatherInfoDTO result;
	private String message;
}

注意這里最核心的對象是WeatherInfoDTO對象，直接存儲(chǔ)轉(zhuǎn)換對象信息。經(jīng)過前面的JSON與JavaBean的對應(yīng)關(guān)系可知，這個(gè)result對象包含著當(dāng)前天氣信息、預(yù)警信息、生活指數(shù)信息和逐日天氣預(yù)報(bào)和未來24小時(shí)的逐小時(shí)預(yù)報(bào)。關(guān)鍵代碼如下：

package com.yelang.project.weather.domain;
import java.io.Serializable;
import java.util.List;
import com.google.gson.annotations.SerializedName;
import lombok.AllArgsConstructor;
import lombok.Getter;
import lombok.NoArgsConstructor;
import lombok.Setter;
import lombok.ToString;
@NoArgsConstructor
@AllArgsConstructor
@Setter
@Getter
@ToString
public class WeatherInfoDTO implements Serializable{
	private static final long serialVersionUID = 5849724792198940369L;
	private WeatherNow weatherNow;//實(shí)時(shí)天氣
	private List<WeatherAlerts> alerts;
	private List<WeatherIndexes> indexes;
	private List<WeatherForecasts> forecasts;
	private List<WeatherForecastHours> forecastHours;
}

篇幅有限，這里不能逐一展開，這里以生活指數(shù)的JavaBean的定義為例進(jìn)行說明。其它的對象定義基本與接口返回的參數(shù)和說明基本一致，在此不一一進(jìn)行列舉。

package com.yelang.project.weather.domain;
import java.io.Serializable;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import lombok.AllArgsConstructor;
import lombok.Getter;
import lombok.NoArgsConstructor;
import lombok.Setter;
import lombok.ToString;
@NoArgsConstructor
@AllArgsConstructor
@Setter
@Getter
@ToString
public class WeatherIndexes implements Serializable{
	private static final long serialVersionUID = 498655771178931771L;
	@TableId(value ="pk_id")
	private Long pkId ;//主鍵
	@TableField(value="weather_pk_id")
	private Long weatherPkId;//實(shí)時(shí)天氣信息主鍵
	private String name;//生活指數(shù)中文名稱
	private String brief;//生活指數(shù)概要說明
	private String detail;//生活指數(shù)詳細(xì)說明
}

將實(shí)際的屬性信息完全列出來之后，下面就可以實(shí)現(xiàn)根據(jù)JSON屬性進(jìn)行對象轉(zhuǎn)換。

2、屬性字段映射

眾所周知在JavaBean的編寫過程當(dāng)中，我們的json的命名方式和Java不盡相同，兩者存在著較大的偏差，因此這就非常容易導(dǎo)致json的key值跟javabean的屬性名存在較大的不一致，那么此時(shí)又應(yīng)該如何處理呢？其實(shí)Gson框架本身就存在這樣的考慮。如果遇到兩者的屬性名稱不一致的情況，直接使用@SerializedName("feels_like")來設(shè)置即可，如當(dāng)前天氣信息對應(yīng)的JavaBean：

經(jīng)過以上的定義，其對應(yīng)的屬性值就能正常的進(jìn)行賦值。需要注意的是，在使用@SerializedName這個(gè)注解時(shí)，傳入的名稱應(yīng)當(dāng)是json文件的key值。這樣才能實(shí)現(xiàn)針對性的轉(zhuǎn)換。

3、日期數(shù)據(jù)映射

與屬性字段同時(shí)并存的一種情況是，在百度的天氣接口中，我們定義了一個(gè)Timestamp的數(shù)據(jù)類型，而在json接口中可能只是一個(gè)字符串，那么如何直接將字符串轉(zhuǎn)換成Timestamp呢？這時(shí)候就沒有直接的注解直接使用，需要我們自己來擴(kuò)展出一個(gè)適配器來進(jìn)行處理。首先我們定義一個(gè)Timestamp的適配器對象，然后在適配器中定義不同的轉(zhuǎn)換器來實(shí)現(xiàn)時(shí)間戳的格式化，關(guān)鍵代碼如下：

package com.yelang.project.weather.adapter;
import com.google.gson.TypeAdapter;
import com.google.gson.stream.JsonReader;
import com.google.gson.stream.JsonWriter;
import java.io.IOException;
import java.sql.Timestamp;
import java.text.ParseException;
import java.text.SimpleDateFormat;
/**
 * - 自定義時(shí)間戳轉(zhuǎn)換器，將百度天氣接口的字符串轉(zhuǎn)為時(shí)間類型
 * @author 夜郎king
 *
 */
public class TimestampTypeAdapter extends TypeAdapter<Timestamp>{

	private static final SimpleDateFormat dateFormat = new SimpleDateFormat("yyyyMMddHHmmss");

    @Override
    public void write(JsonWriter out, Timestamp value) throws IOException {
        if (value == null) {
            out.nullValue();
        } else {
            out.value(dateFormat.format(value));
        }
    }

    @Override
    public Timestamp read(JsonReader in) throws IOException {
        String timestampString = in.nextString();
        try {
            return new Timestamp(dateFormat.parse(timestampString).getTime());
        } catch (ParseException e) {
            throw new IOException("Failed to parse timestamp: " + timestampString, e);
        }
    }
}

定義好適配器之后，接下來我們需要在JavaBean的配置當(dāng)中來進(jìn)行啟用，啟用的關(guān)鍵代碼如下，這里需要使用的注解是@JsonAdapter：

@JsonAdapter(TimestampTypeAdapter.class)
private Timestamp uptime;//數(shù)據(jù)更新時(shí)間，北京時(shí)間

經(jīng)過以上幾步，基本就實(shí)現(xiàn)了基于GSON的json字符串與JavaBean的屬性映射設(shè)置。接下來就可以實(shí)現(xiàn)數(shù)據(jù)的實(shí)際轉(zhuǎn)換了。

三、天氣接口對象展示

這里我們將總結(jié) GSON 在處理百度天氣 JSON 數(shù)據(jù)時(shí)的最佳實(shí)踐和注意事項(xiàng)。通過實(shí)際案例的分析，分享如何優(yōu)化代碼結(jié)構(gòu)、提高轉(zhuǎn)換效率以及確保數(shù)據(jù)的準(zhǔn)確性和完整性。本節(jié)將通過實(shí)際的代碼運(yùn)行來演示接口的調(diào)用和屬性信息的打印。

1、接口調(diào)用

在前面的例子中，我們對天氣的相關(guān)處理接口進(jìn)行了詳細(xì)的代碼講解，那么如何集成百度的天氣查詢接口并進(jìn)行調(diào)用呢？下面以某具體區(qū)縣為例，具體介紹如何記性接口的調(diào)用。

package com.yelang.project.unihttp;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;
import com.baomidou.mybatisplus.core.toolkit.IdWorker;
import com.burukeyou.uniapi.http.core.response.HttpResponse;
import com.google.gson.Gson;
import com.yelang.project.thridinterface.BaiduWeatherApiServcie;
import com.yelang.project.weather.domain.BdWeatherDTO;
import com.yelang.project.weather.domain.WeatherInfoDTO;
import com.yelang.project.weather.service.IWeatherNowService;
@SpringBootTest
@RunWith(SpringRunner.class)
public class BaiduWeather2DBCase {
	private static final String DATA_TYPE = "all";
	@Autowired
	private BaiduWeatherApiServcie baiduWeatherApiService;
	@Autowired
	private IWeatherNowService weatherService;
	@Test
	public void bdWeather2PG() {
		String district_id = "430811";//表示具體的行政區(qū)劃代號(hào)
		HttpResponse<String> result  = baiduWeatherApiService.getWeather(district_id, DATA_TYPE);
		System.out.println(result.getBodyResult());
		Gson gson = new Gson();
		BdWeatherDTO bdWeatherInfo = gson.fromJson(result.getBodyResult(), BdWeatherDTO.class);
		WeatherInfoDTO bdResult = bdWeatherInfo.getResult();
		System.out.println(bdResult.getWeatherNow());
		System.out.println(bdResult.getAlerts());
		System.out.println(bdResult.getIndexes());
		System.out.println(bdResult.getForecasts());
		System.out.println(bdResult.getForecastHours());
	}
}

下一節(jié)我們將根據(jù)接口的實(shí)際調(diào)用結(jié)果來實(shí)現(xiàn)相關(guān)的信息打印。來看看我們的設(shè)置是否正確，返回的JavaBean是否符合預(yù)期。

2、Java屬性打印輸出

當(dāng)我們在IDE中實(shí)際運(yùn)行上述的代碼時(shí)，可以清晰的在Eclipse的運(yùn)行窗口中看到以下的輸出：

可以明顯的看到，上述已經(jīng)將JSON數(shù)據(jù)轉(zhuǎn)為了正常的JavaBean。來看一下控制臺(tái)的信息輸出如下：

在這里可以做一些時(shí)候的處理，比如格式化和解析等，做成插件似的......
rsp===>com.burukeyou.uniapi.http.core.response.UniHttpResponse@7828bc6b
{"status":0,"result":{"location":{"country":"中國","province":"湖南省","city":"張家界市","name":"武陵源","id":"430811"},"now":{"text":"多云","temp":29,"feels_like":31,"rh":81,"wind_class":"1級","wind_dir":"北風(fēng)","prec_1h":0.0,"clouds":75,"vis":18900,"aqi":36,"pm25":25,"pm10":30,"no2":6,"so2":5,"o3":50,"co":0.6,"wind_angle":10,"uvi":0,"pressure":978,"dpt":25,"uptime":"20250810225500"},"indexes":[{"name":"晨練指數(shù)","brief":"不宜","detail":"有降水，建議在室內(nèi)做適當(dāng)鍛煉。"},{"name":"洗車指數(shù)","brief":"不適宜","detail":"兩天內(nèi)有雨，雨水和泥水會(huì)弄臟愛車。"},{"name":"感冒指數(shù)","brief":"少發(fā)","detail":"感冒機(jī)率較低，避免長期處于空調(diào)屋中。"},{"name":"紫外線指數(shù)","brief":"最弱","detail":"輻射弱，涂擦SPF8-12防曬護(hù)膚品。"},{"name":"穿衣指數(shù)","brief":"熱","detail":"適合穿T恤、短薄外套等???季服裝。"},{"name":"運(yùn)動(dòng)指數(shù)","brief":"較不宜","detail":"有降水，推薦您在室內(nèi)進(jìn)行休閑運(yùn)動(dòng)。"}],"alerts":[],"forecasts":[{"text_day":"小雨","text_night":"中雨","high":29,"low":24,"wc_day":"<3級","wd_day":"東風(fēng)","wc_night":"<3級","wd_night":"東風(fēng)","date":"2025-08-10","week":"星期日"},{"text_day":"小雨","text_night":"小雨","high":29,"low":23,"wc_day":"<3級","wd_day":"東風(fēng)","wc_night":"<3級","wd_night":"東風(fēng)","date":"2025-08-11","week":"星期一"},{"text_day":"小雨","text_night":"大雨","high":29,"low":23,"wc_day":"<3級","wd_day":"東北風(fēng)","wc_night":"<3級","wd_night":"西北風(fēng)","date":"2025-08-12","week":"星期二"},{"text_day":"小雨","text_night":"小雨","high":32,"low":24,"wc_day":"<3級","wd_day":"東風(fēng)","wc_night":"<3級","wd_night":"東風(fēng)","date":"2025-08-13","week":"星期三"},{"text_day":"小雨","text_night":"小雨","high":33,"low":24,"wc_day":"<3級","wd_day":"東風(fēng)","wc_night":"<3級","wd_night":"東北風(fēng)","date":"2025-08-14","week":"星期四"},{"text_day":"小雨","text_night":"多云","high":32,"low":23,"wc_day":"<3級","wd_day":"南風(fēng)","wc_night":"<3級","wd_night":"東南風(fēng)","date":"2025-08-15","week":"星期五"},{"text_day":"小雨","text_night":"晴","high":35,"low":25,"wc_day":"<3級","wd_day":"西風(fēng)","wc_night":"<3級","wd_night":"西北風(fēng)","date":"2025-08-16","week":"星期六"}],"forecast_hours":[{"text":"小雨","temp_fc":30,"wind_class":"<3級","wind_dir":"東風(fēng)","rh":93,"prec_1h":0.9,"clouds":99,"wind_angle":109,"pop":70,"uvi":0,"pressure":979,"dpt":28,"data_time":"2025-08-10 23:00:00"},{"text":"小雨","temp_fc":29,"wind_class":"<3級","wind_dir":"東風(fēng)","rh":93,"prec_1h":0.9,"clouds":99,"wind_angle":106,"pop":60,"uvi":0,"pressure":979,"dpt":28,"data_time":"2025-08-11 00:00:00"},{"text":"中雨","temp_fc":29,"wind_class":"<3級","wind_dir":"東風(fēng)","rh":93,"prec_1h":1.6,"clouds":99,"wind_angle":108,"pop":80,"uvi":0,"pressure":979,"dpt":28,"data_time":"2025-08-11 01:00:00"},{"text":"中雨","temp_fc":29,"wind_class":"<3級","wind_dir":"東風(fēng)","rh":94,"prec_1h":1.6,"clouds":100,"wind_angle":107,"pop":70,"uvi":0,"pressure":980,"dpt":27,"data_time":"2025-08-11 02:00:00"},{"text":"中雨","temp_fc":28,"wind_class":"3~4級","wind_dir":"東風(fēng)","rh":94,"prec_1h":1.6,"clouds":99,"wind_angle":99,"pop":80,"uvi":0,"pressure":979,"dpt":26,"data_time":"2025-08-11 03:00:00"},{"text":"小雨","temp_fc":27,"wind_class":"3~4級","wind_dir":"東風(fēng)","rh":94,"prec_1h":0.3,"clouds":99,"wind_angle":93,"pop":60,"uvi":0,"pressure":978,"dpt":25,"data_time":"2025-08-11 04:00:00"},{"text":"陰","temp_fc":26,"wind_class":"3~4級","wind_dir":"東風(fēng)","rh":94,"prec_1h":0.0,"clouds":99,"wind_angle":88,"pop":0,"uvi":0,"pressure":978,"dpt":24,"data_time":"2025-08-11 05:00:00"},{"text":"小雨","temp_fc":25,"wind_class":"3~4級","wind_dir":"東風(fēng)","rh":93,"prec_1h":0.4,"clouds":99,"wind_angle":85,"pop":60,"uvi":0,"pressure":978,"dpt":24,"data_time":"2025-08-11 06:00:00"},{"text":"中雨","temp_fc":24,"wind_class":"<3級","wind_dir":"東風(fēng)","rh":93,"prec_1h":1.6,"clouds":99,"wind_angle":81,"pop":80,"uvi":0,"pressure":979,"dpt":23,"data_time":"2025-08-11 07:00:00"},{"text":"中雨","temp_fc":24,"wind_class":"<3級","wind_dir":"東風(fēng)","rh":93,"prec_1h":1.6,"clouds":100,"wind_angle":74,"pop":80,"uvi":0,"pressure":980,"dpt":22,"data_time":"2025-08-11 08:00:00"},{"text":"中雨","temp_fc":24,"wind_class":"<3級","wind_dir":"東風(fēng)","rh":92,"prec_1h":1.6,"clouds":100,"wind_angle":72,"pop":80,"uvi":0,"pressure":979,"dpt":23,"data_time":"2025-08-11 09:00:00"},{"text":"小雨","temp_fc":25,"wind_class":"<3級","wind_dir":"東風(fēng)","rh":91,"prec_1h":0.6,"clouds":100,"wind_angle":70,"pop":70,"uvi":0,"pressure":979,"dpt":23,"data_time":"2025-08-11 10:00:00"},{"text":"小雨","temp_fc":26,"wind_class":"<3級","wind_dir":"東風(fēng)","rh":91,"prec_1h":0.3,"clouds":100,"wind_angle":68,"pop":60,"uvi":0,"pressure":979,"dpt":24,"data_time":"2025-08-11 11:00:00"},{"text":"小雨","temp_fc":26,"wind_class":"<3級","wind_dir":"東北風(fēng)","rh":91,"prec_1h":0.6,"clouds":99,"wind_angle":50,"pop":70,"uvi":0,"pressure":978,"dpt":25,"data_time":"2025-08-11 12:00:00"},{"text":"中雨","temp_fc":27,"wind_class":"<3級","wind_dir":"東北風(fēng)","rh":91,"prec_1h":1.6,"clouds":99,"wind_angle":37,"pop":80,"uvi":0,"pressure":978,"dpt":25,"data_time":"2025-08-11 13:00:00"},{"text":"中雨","temp_fc":28,"wind_class":"<3級","wind_dir":"東北風(fēng)","rh":91,"prec_1h":1.6,"clouds":99,"wind_angle":27,"pop":80,"uvi":0,"pressure":978,"dpt":26,"data_time":"2025-08-11 14:00:00"},{"text":"中雨","temp_fc":28,"wind_class":"3~4級","wind_dir":"東北風(fēng)","rh":90,"prec_1h":1.6,"clouds":99,"wind_angle":25,"pop":80,"uvi":0,"pressure":978,"dpt":26,"data_time":"2025-08-11 15:00:00"},{"text":"小雨","temp_fc":28,"wind_class":"3~4級","wind_dir":"東北風(fēng)","rh":89,"prec_1h":0.7,"clouds":99,"wind_angle":24,"pop":70,"uvi":0,"pressure":978,"dpt":26,"data_time":"2025-08-11 16:00:00"},{"text":"小雨","temp_fc":29,"wind_class":"3~4級","wind_dir":"東北風(fēng)","rh":89,"prec_1h":0.5,"clouds":99,"wind_angle":23,"pop":60,"uvi":0,"pressure":978,"dpt":26,"data_time":"2025-08-11 17:00:00"},{"text":"小雨","temp_fc":29,"wind_class":"<3級","wind_dir":"東北風(fēng)","rh":88,"prec_1h":0.4,"clouds":98,"wind_angle":28,"pop":70,"uvi":0,"pressure":978,"dpt":27,"data_time":"2025-08-11 18:00:00"},{"text":"小雨","temp_fc":29,"wind_class":"<3級","wind_dir":"東北風(fēng)","rh":87,"prec_1h":0.1,"clouds":98,"wind_angle":40,"pop":70,"uvi":0,"pressure":978,"dpt":27,"data_time":"2025-08-11 19:00:00"},{"text":"陰","temp_fc":30,"wind_class":"<3級","wind_dir":"東風(fēng)","rh":87,"prec_1h":0.0,"clouds":98,"wind_angle":110,"pop":0,"uvi":0,"pressure":979,"dpt":27,"data_time":"2025-08-11 20:00:00"},{"text":"陰","temp_fc":28,"wind_class":"<3級","wind_dir":"東北風(fēng)","rh":90,"prec_1h":0.0,"clouds":92,"wind_angle":57,"pop":0,"uvi":0,"pressure":979,"dpt":26,"data_time":"2025-08-11 21:00:00"},{"text":"陰","temp_fc":26,"wind_class":"3~4級","wind_dir":"東北風(fēng)","rh":93,"prec_1h":0.0,"clouds":86,"wind_angle":45,"pop":0,"uvi":0,"pressure":979,"dpt":24,"data_time":"2025-08-11 22:00:00"}]},"message":"success"}
WeatherNow(pkId=null, locationCode=null, temp=29, feelsLike=31, rh=81, windClass=1級, windDir=北風(fēng), text=多云, prec1h=0.0, clouds=75, vis=18900, aqi=36, pm25=25, pm10=30, no2=6, so2=5, o3=50, co=0.6, uptime=2025-08-10 22:55:00.0)
[]
[WeatherIndexes(pkId=null, weatherPkId=null, name=晨練指數(shù), brief=不宜, detail=有降水，建議在室內(nèi)做適當(dāng)鍛煉。), WeatherIndexes(pkId=null, weatherPkId=null, name=洗車指數(shù), brief=不適宜, detail=兩天內(nèi)有雨，雨水和泥水會(huì)弄臟愛車。), WeatherIndexes(pkId=null, weatherPkId=null, name=感冒指數(shù), brief=少發(fā), detail=感冒機(jī)率較低，避免長期處于空調(diào)屋中。), WeatherIndexes(pkId=null, weatherPkId=null, name=紫外線指數(shù), brief=最弱, detail=輻射弱，涂擦SPF8-12防曬護(hù)膚品。), WeatherIndexes(pkId=null, weatherPkId=null, name=穿衣指數(shù), brief=熱, detail=適合穿T恤、短薄外套等夏季服裝。), WeatherIndexes(pkId=null, weatherPkId=null, name=運(yùn)動(dòng)指數(shù), brief=較不宜, detail=有降水，推薦您在室內(nèi)進(jìn)行休閑運(yùn)動(dòng)。)]
[WeatherForecasts(pkId=null, weatherPkId=null, date=Sun Aug 10 00:00:00 CST 2025, week=星期日, high=29, low=24, wcDay=<3級, wcNight=<3級, wdDay=東風(fēng), wdNight=東風(fēng), textDay=小雨, textNight=中雨), WeatherForecasts(pkId=null, weatherPkId=null, date=Mon Aug 11 00:00:00 CST 2025, week=星期一, high=29, low=23, wcDay=<3級, wcNight=<3級, wdDay=東風(fēng), wdNight=東風(fēng), textDay=小雨, textNight=小雨), WeatherForecasts(pkId=null, weatherPkId=null, date=Tue Aug 12 00:00:00 CST 2025, week=星期二, high=29, low=23, wcDay=<3級, wcNight=<3級, wdDay=東北風(fēng), wdNight=西北風(fēng), textDay=小雨, textNight=大雨), WeatherForecasts(pkId=null, weatherPkId=null, date=Wed Aug 13 00:00:00 CST 2025, week=星期三, high=32, low=24, wcDay=<3級, wcNight=<3級, wdDay=東風(fēng), wdNight=東風(fēng), textDay=小雨, textNight=小雨), WeatherForecasts(pkId=null, weatherPkId=null, date=Thu Aug 14 00:00:00 CST 2025, week=星期四, high=33, low=24, wcDay=<3級, wcNight=<3級, wdDay=東風(fēng), wdNight=東北風(fēng), textDay=小雨, textNight=小雨), WeatherForecasts(pkId=null, weatherPkId=null, date=Fri Aug 15 00:00:00 CST 2025, week=星期五, high=32, low=23, wcDay=<3級, wcNight=<3級, wdDay=南風(fēng), wdNight=東南風(fēng), textDay=小雨, textNight=多云), WeatherForecasts(pkId=null, weatherPkId=null, date=Sat Aug 16 00:00:00 CST 2025, week=星期六, high=35, low=25, wcDay=<3級, wcNight=<3級, wdDay=西風(fēng), wdNight=西北風(fēng), textDay=小雨, textNight=晴)]
[WeatherForecastHours(pkId=null, weatherPkId=null, text=小雨, tempFc=30, windClass=<3級, windDir=東風(fēng), rh=93, prec1h=0.9, clouds=99, dataTime=Sun Aug 10 23:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=小雨, tempFc=29, windClass=<3級, windDir=東風(fēng), rh=93, prec1h=0.9, clouds=99, dataTime=Mon Aug 11 00:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=中雨, tempFc=29, windClass=<3級, windDir=東風(fēng), rh=93, prec1h=1.6, clouds=99, dataTime=Mon Aug 11 01:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=中雨, tempFc=29, windClass=<3級, windDir=東風(fēng), rh=94, prec1h=1.6, clouds=100, dataTime=Mon Aug 11 02:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=中雨, tempFc=28, windClass=3~4級, windDir=東風(fēng), rh=94, prec1h=1.6, clouds=99, dataTime=Mon Aug 11 03:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=小雨, tempFc=27, windClass=3~4級, windDir=東風(fēng), rh=94, prec1h=0.3, clouds=99, dataTime=Mon Aug 11 04:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=陰, tempFc=26, windClass=3~4級, windDir=東風(fēng), rh=94, prec1h=0.0, clouds=99, dataTime=Mon Aug 11 05:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=小雨, tempFc=25, windClass=3~4級, windDir=東風(fēng), rh=93, prec1h=0.4, clouds=99, dataTime=Mon Aug 11 06:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=中雨, tempFc=24, windClass=<3級, windDir=東風(fēng), rh=93, prec1h=1.6, clouds=99, dataTime=Mon Aug 11 07:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=中雨, tempFc=24, windClass=<3級, windDir=東風(fēng), rh=93, prec1h=1.6, clouds=100, dataTime=Mon Aug 11 08:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=中雨, tempFc=24, windClass=<3級, windDir=東風(fēng), rh=92, prec1h=1.6, clouds=100, dataTime=Mon Aug 11 09:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=小雨, tempFc=25, windClass=<3級, windDir=東風(fēng), rh=91, prec1h=0.6, clouds=100, dataTime=Mon Aug 11 10:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=小雨, tempFc=26, windClass=<3級, windDir=東風(fēng), rh=91, prec1h=0.3, clouds=100, dataTime=Mon Aug 11 11:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=小雨, tempFc=26, windClass=<3級, windDir=東北風(fēng), rh=91, prec1h=0.6, clouds=99, dataTime=Mon Aug 11 12:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=中雨, tempFc=27, windClass=<3級, windDir=東北風(fēng), rh=91, prec1h=1.6, clouds=99, dataTime=Mon Aug 11 13:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=中雨, tempFc=28, windClass=<3級, windDir=東北風(fēng), rh=91, prec1h=1.6, clouds=99, dataTime=Mon Aug 11 14:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=中雨, tempFc=28, windClass=3~4級, windDir=東北風(fēng), rh=90, prec1h=1.6, clouds=99, dataTime=Mon Aug 11 15:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=小雨, tempFc=28, windClass=3~4級, windDir=東北風(fēng), rh=89, prec1h=0.7, clouds=99, dataTime=Mon Aug 11 16:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=小雨, tempFc=29, windClass=3~4級, windDir=東北風(fēng), rh=89, prec1h=0.5, clouds=99, dataTime=Mon Aug 11 17:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=小雨, tempFc=29, windClass=<3級, windDir=東北風(fēng), rh=88, prec1h=0.4, clouds=98, dataTime=Mon Aug 11 18:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=小雨, tempFc=29, windClass=<3級, windDir=東北風(fēng), rh=87, prec1h=0.1, clouds=98, dataTime=Mon Aug 11 19:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=陰, tempFc=30, windClass=<3級, windDir=東風(fēng), rh=87, prec1h=0.0, clouds=98, dataTime=Mon Aug 11 20:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=陰, tempFc=28, windClass=<3級, windDir=東北風(fēng), rh=90, prec1h=0.0, clouds=92, dataTime=Mon Aug 11 21:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=陰, tempFc=26, windClass=3~4級, windDir=東北風(fēng), rh=93, prec1h=0.0, clouds=86, dataTime=Mon Aug 11 22:00:00 CST 2025)]

四、總結(jié)

通過本文的深入解析和實(shí)戰(zhàn)操作，讀者將能夠掌握 GSON 框架下將百度天氣 JSON 數(shù)據(jù)轉(zhuǎn)換為 JavaBean 的完整流程，從而在實(shí)際開發(fā)中更加高效地處理類似的 JSON 數(shù)據(jù)轉(zhuǎn)換任務(wù)。無論你是初學(xué)者還是有一定經(jīng)驗(yàn)的開發(fā)者，本文都將為你提供有價(jià)值的參考和指導(dǎo)，幫助你在 JSON 數(shù)據(jù)處理領(lǐng)域邁向更高的臺(tái)階。

以上就是GSON框架下將百度天氣JSON數(shù)據(jù)轉(zhuǎn)JavaBean的詳細(xì)內(nèi)容，更多關(guān)于JSON數(shù)據(jù)轉(zhuǎn)JavaBean的資料請關(guān)注腳本之家其它相關(guān)文章！

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