基于 GSON 将百度天气 JSON 数据转换为 JavaBean

除了未来几天的天气实况以外，未来 24 小时逐小时预报返回参数：

3、属性映射

关于如何使用公共的接口来封装百度的调用 key 的内容，在之前的博文内容有所介绍，这里不进行赘述。这里将给出某区县的返回结果。

通过返回的信息可以清晰的看出，百度的天气接口返回当前天气实况、告警信息、生活指数、未来逐日天气预报和未来 24 小时的逐小时天气预报。而这个接口规范将支持将这个 JSON 反序列化成 JavaBean。

二、GSON 属性映射实战

本节将进入核心实战环节。根据百度天气 JSON 数据的结构，设计相应的 JavaBean 类。这些 JavaBean 类将作为数据的载体，用于存储和操作天气数据。我们将详细介绍如何根据 JSON 字段定义 JavaBean 的属性，以及如何通过 GSON 的注解和配置来实现精确的映射关系。通过具体的代码实现，展示如何将复杂的百度天气 JSON 数据转换为 JavaBean 对象，并处理可能出现的常见问题，如字段缺失、数据类型不匹配等。

1、类对象映射

为了实现将 JSON 字符串反序列化成 JavaBean，我们需要定义一个跟 JSON 字符串想匹配的对象。其对应的属性名称应该较为相似，包括：状态、天气信息对象、响应消息字符串。核心代码如下：

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;
}

注意这里最核心的对象是 WeatherInfoDTO 对象，直接存储转换对象信息。经过前面的 JSON 与 JavaBean 的对应关系可知，这个 result 对象包含着当前天气信息、预警信息、生活指数信息和逐日天气预报和未来 24 小时的逐小时预报。关键代码如下：

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;//实时天气
    private List<WeatherAlerts> alerts;
    private List<WeatherIndexes> indexes;
    private List<WeatherForecasts> forecasts;
    private List<WeatherForecastHours> forecastHours;
}

篇幅有限，这里不能逐一展开，这里以生活指数的 JavaBean 的定义为例进行说明。其它的对象定义基本与接口返回的参数和说明基本一致，在此不一一进行列举。

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 ;//主键
    @TableField(value="weather_pk_id")
    private Long weatherPkId;//实时天气信息主键
    private String name;//生活指数中文名称
    private String brief;//生活指数概要说明
    private String detail;//生活指数详细说明
} 

将实际的属性信息完全列出来之后，下面就可以实现根据 JSON 属性进行对象转换。

2、属性字段映射

众所周知在 JavaBean 的编写过程当中，我们的 json 的命名方式和 Java 不尽相同，两者存在着较大的偏差，因此这就非常容易导致 json 的 key 值跟 javabean 的属性名存在较大的不一致，那么此时又应该如何处理呢？其实 Gson 框架本身就存在这样的考虑。如果遇到两者的属性名称不一致的情况，直接使用@SerializedName("feels_like") 来设置即可，如当前天气信息对应的 JavaBean。

经过以上的定义，其对应的属性值就能正常的进行赋值。需要注意的是，在使用@SerializedName 这个注解时，传入的名称应当是 json 文件的 key 值。这样才能实现针对性的转换。

3、日期数据映射

与属性字段同时并存的一种情况是，在百度的天气接口中，我们定义了一个 Timestamp 的数据类型，而在 json 接口中可能只是一个字符串，那么如何直接将字符串转换成 Timestamp 呢？这时候就没有直接的注解直接使用，需要我们自己来扩展出一个适配器来进行处理。首先我们定义一个 Timestamp 的适配器对象，然后在适配器中定义不同的转换器来实现时间戳的格式化，关键代码如下：

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;

/**
 * - 自定义时间戳转换器，将百度天气接口的字符串转为时间类型
 */
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);
        }
    }
}

定义好适配器之后，接下来我们需要在 JavaBean 的配置当中来进行启用，启用的关键代码如下，这里需要使用的注解是@JsonAdapter：

@JsonAdapter(TimestampTypeAdapter.class)
private Timestamp uptime;//数据更新时间，北京时间

经过以上几步，基本就实现了基于 GSON 的 json 字符串与 JavaBean 的属性映射设置。接下来就可以实现数据的实际转换了。

三、天气接口对象展示

这里我们将总结 GSON 在处理百度天气 JSON 数据时的最佳实践和注意事项。通过实际案例的分析，分享如何优化代码结构、提高转换效率以及确保数据的准确性和完整性。本节将通过实际的代码运行来演示接口的调用和属性信息的打印。

1、接口调用

在前面的例子中，我们对天气的相关处理接口进行了详细的代码讲解，那么如何集成百度的天气查询接口并进行调用呢？下面以某具体区县为例，具体介绍如何进行接口的调用。

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";//表示具体的行政区划代号
        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());
    }
}

下一节我们将根据接口的实际调用结果来实现相关的信息打印。来看看我们的设置是否正确，返回的 JavaBean 是否符合预期。

2、Java 属性打印输出

当我们在 IDE 中实际运行上述的代码时，可以清晰的在 Eclipse 的运行窗口中看到以下的输出。

可以明显的看到，上述已经将 JSON 数据转为了正常的 JavaBean。来看一下控制台的信息输出如下：

rsp===>com.burukeyou.uniapi.http.core.response.UniHttpResponse@7828bc6b {"status":0,"result":{"location":{"country":"中国","province":"湖南省","city":"张家界市","name":"武陵源","id":"430811"},"now":{"text":"多云","temp":29,"feels_like":31,"rh":81,"wind_class":"1 级","wind_dir":"北风","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":"晨练指数","brief":"不宜","detail":"有降水，建议在室内做适当锻炼。"},{"name":"洗车指数","brief":"不适宜","detail":"两天内有雨，雨水和泥水会弄脏爱车。"},{"name":"感冒指数","brief":"少发","detail":"感冒机率较低，避免长期处于空调屋中。"},{"name":"紫外线指数","brief":"最弱","detail":"辐射弱，涂擦 SPF8-12 防晒护肤品。"},{"name":"穿衣指数","brief":"热","detail":"适合穿 T 恤、短薄外套等夏季服装。"},{"name":"运动指数","brief":"较不宜","detail":"有降水，推荐您在室内进行休闲运动。"}],"alerts":[],"forecasts":[{"text_day":"小雨","text_night":"中雨","high":29,"low":24,"wc_day":"<3 级","wd_day":"东风","wc_night":"<3 级","wd_night":"东风","date":"2025-08-10","week":"星期日"},{"text_day":"小雨","text_night":"小雨","high":29,"low":23,"wc_day":"<3 级","wd_day":"东风","wc_night":"<3 级","wd_night":"东风","date":"2025-08-11","week":"星期一"},{"text_day":"小雨","text_night":"大雨","high":29,"low":23,"wc_day":"<3 级","wd_day":"东北风","wc_night":"<3 级","wd_night":"西北风","date":"2025-08-12","week":"星期二"},{"text_day":"小雨","text_night":"小雨","high":32,"low":24,"wc_day":"<3 级","wd_day":"东风","wc_night":"<3 级","wd_night":"东风","date":"2025-08-13","week":"星期三"},{"text_day":"小雨","text_night":"小雨","high":33,"low":24,"wc_day":"<3 级","wd_day":"东风","wc_night":"<3 级","wd_night":"东北风","date":"2025-08-14","week":"星期四"},{"text_day":"小雨","text_night":"多云","high":32,"low":23,"wc_day":"<3 级","wd_day":"南风","wc_night":"<3 级","wd_night":"东南风","date":"2025-08-15","week":"星期五"},{"text_day":"小雨","text_night":"晴","high":35,"low":25,"wc_day":"<3 级","wd_day":"西风","wc_night":"<3 级","wd_night":"西北风","date":"2025-08-16","week":"星期六"}],"forecast_hours":[{"text":"小雨","temp_fc":30,"wind_class":"<3 级","wind_dir":"东风","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 级","wind_dir":"东风","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 级","wind_dir":"东风","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 级","wind_dir":"东风","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 级","wind_dir":"东风","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 级","wind_dir":"东风","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":"阴","temp_fc":26,"wind_class":"3~4 级","wind_dir":"东风","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 级","wind_dir":"东风","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 级","wind_dir":"东风","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 级","wind_dir":"东风","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 级","wind_dir":"东风","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 级","wind_dir":"东风","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 级","wind_dir":"东风","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 级","wind_dir":"东北风","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 级","wind_dir":"东北风","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 级","wind_dir":"东北风","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 级","wind_dir":"东北风","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 级","wind_dir":"东北风","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 级","wind_dir":"东北风","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 级","wind_dir":"东北风","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 级","wind_dir":"东北风","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":"阴","temp_fc":30,"wind_class":"<3 级","wind_dir":"东风","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":"阴","temp_fc":28,"wind_class":"<3 级","wind_dir":"东北风","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":"阴","temp_fc":26,"wind_class":"3~4 级","wind_dir":"东北风","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 级，windDir=北风，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=晨练指数，brief=不宜，detail=有降水，建议在室内做适当锻炼。), WeatherIndexes(pkId=null, weatherPkId=null, name=洗车指数，brief=不适宜，detail=两天内有雨，雨水和泥水会弄脏爱车。), WeatherIndexes(pkId=null, weatherPkId=null, name=感冒指数，brief=少发，detail=感冒机率较低，避免长期处于空调屋中。), WeatherIndexes(pkId=null, weatherPkId=null, name=紫外线指数，brief=最弱，detail=辐射弱，涂擦 SPF8-12 防晒护肤品。), WeatherIndexes(pkId=null, weatherPkId=null, name=穿衣指数，brief=热，detail=适合穿 T 恤、短薄外套等夏季服装。), WeatherIndexes(pkId=null, weatherPkId=null, name=运动指数，brief=较不宜，detail=有降水，推荐您在室内进行休闲运动。)] [WeatherForecasts(pkId=null, weatherPkId=null, date=Sun Aug 10 00:00:00 CST 2025, week=星期日，high=29, low=24, wcDay=<3 级，wcNight=<3 级，wdDay=东风，wdNight=东风，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 级，wcNight=<3 级，wdDay=东风，wdNight=东风，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 级，wcNight=<3 级，wdDay=东北风，wdNight=西北风，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 级，wcNight=<3 级，wdDay=东风，wdNight=东风，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 级，wcNight=<3 级，wdDay=东风，wdNight=东北风，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 级，wcNight=<3 级，wdDay=南风，wdNight=东南风，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 级，wcNight=<3 级，wdDay=西风，wdNight=西北风，textDay=小雨，textNight=晴)] [WeatherForecastHours(pkId=null, weatherPkId=null, text=小雨，tempFc=30, windClass=<3 级，windDir=东风，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 级，windDir=东风，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 级，windDir=东风，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 级，windDir=东风，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 级，windDir=东风，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 级，windDir=东风，rh=94, prec1h=0.3, clouds=99, dataTime=Mon Aug 11 04:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=阴，tempFc=26, windClass=3~4 级，windDir=东风，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 级，windDir=东风，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 级，windDir=东风，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 级，windDir=东风，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 级，windDir=东风，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 级，windDir=东风，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 级，windDir=东风，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 级，windDir=东北风，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 级，windDir=东北风，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 级，windDir=东北风，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 级，windDir=东北风，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 级，windDir=东北风，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 级，windDir=东北风，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 级，windDir=东北风，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 级，windDir=东北风，rh=87, prec1h=0.1, clouds=98, dataTime=Mon Aug 11 19:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=阴，tempFc=30, windClass=<3 级，windDir=东风，rh=87, prec1h=0.0, clouds=98, dataTime=Mon Aug 11 20:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=阴，tempFc=28, windClass=<3 级，windDir=东北风，rh=90, prec1h=0.0, clouds=92, dataTime=Mon Aug 11 21:00:00 CST 2025), WeatherForecastHours(pkId=null, weatherPkId=null, text=阴，tempFc=26, windClass=3~4 级，windDir=东北风，rh=93, prec1h=0.0, clouds=86, dataTime=Mon Aug 11 22:00:00 CST 2025)]