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@@ -1,12 +1,28 @@
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package com.example.mdd;
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+import cn.hutool.db.DbUtil;
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+import cn.hutool.db.ds.simple.SimpleDataSource;
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+import cn.hutool.http.HttpUtil;
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+import cn.hutool.json.JSONArray;
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+import cn.hutool.json.JSONObject;
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+import cn.hutool.json.JSONUtil;
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+import com.example.mdd.entity.BaiDu;
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+import com.example.mdd.entity.PowerStation;
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import com.example.mdd.service.MeteorologicalDataDownload;
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+import lombok.extern.slf4j.Slf4j;
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import org.junit.jupiter.api.Test;
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import org.springframework.boot.test.context.SpringBootTest;
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import javax.annotation.Resource;
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+import javax.sql.DataSource;
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+import java.sql.Connection;
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+import java.sql.PreparedStatement;
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+import java.sql.SQLException;
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+import java.text.SimpleDateFormat;
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+import java.util.*;
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@SpringBootTest
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+@Slf4j
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class MddApplicationTests {
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@Resource
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MeteorologicalDataDownload mdd;
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@@ -16,4 +32,425 @@ class MddApplicationTests {
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mdd.download();
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}
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+ //补数据 插入时间8月5号为分界点之前的数据都是补的 补到哪算哪
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+ @Test
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+ void load() {
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+ String body = HttpUtil.get("http://itil.jiayuepowertech.com:9958/itil/api/power-station", 10000);
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+ JSONObject json = JSONUtil.parseObj(body);
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+ String code = json.get("code").toString();
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+ String data = json.get("data").toString();
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+ if (code.equals("0") && !data.isEmpty()) {
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+ JSONArray array = JSONUtil.parseArray(data);
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+ //itil所有的场站数据 根据场站数据的经纬度通过气象平台的api接口查询数据
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+ List<PowerStation> list = array.toList(PowerStation.class);
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+ try {
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+ DataSource ds = new SimpleDataSource("jdbc:mysql://192.168.12.10:23306/mdd"
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+ , "root", "la!yibei82nianxueB");
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+ Connection conn = DbUtil.use(ds).getConnection();
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+ long time = 1722700800000L;
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+ for (long i = time; i <= time; i = i - 86400000) {
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+ for (PowerStation powerStation : list) {
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+ if (!"".equals(powerStation.getLongitude()) && !"".equals(powerStation.getLatitude())) {
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+ //heFengDownload.download(conn, powerStation.getStationCode(), powerStation.getLongitude(), powerStation.getLatitude());
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+ //caiYunDownload.download(conn, powerStation.getStationCode(), powerStation.getLongitude(), powerStation.getLatitude());
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+ //xinZhiDownload.download(conn, powerStation.getStationCode(), powerStation.getLongitude(), powerStation.getLatitude());
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+ download(conn, powerStation.getStationCode(), powerStation.getLongitude(), powerStation.getLatitude(), new Date(i));
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+ }
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+ }
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+ }
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+
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+ } catch (SQLException e) {
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+ throw new RuntimeException(e);
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+ }
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+
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+ }
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+ }
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+
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+ //去预测15天的数据 8月5号取8月6号到8月20号的数据
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+ public void download(Connection conn, String stationCode, String longitude, String latitude, Date date) {
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+
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+ SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd");
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+ // 设置时间为明天
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+ String day = sdf.format(date.getTime() + 86400000);
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+ //第15天
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+ String day14 = sdf.format(date.getTime() + 86400000 * 15);
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+ //当天
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+ String day0 = sdf.format(date.getTime());
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+ //String[] fieldNames = getFieldName();
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+ String fieldNames = "temperature_2m,relative_humidity_2m,dew_point_2m,apparent_temperature,precipitation_probability,precipitation,rain,showers,snowfall,snow_depth,weather_code,pressure_msl,surface_pressure,cloud_cover,cloud_cover_low,cloud_cover_mid,cloud_cover_high,visibility,evapotranspiration,et0_fao_evapotranspiration,vapour_pressure_deficit,wind_speed_10m,wind_speed_80m,wind_speed_120m,wind_speed_180m,wind_direction_10m,wind_direction_80m,wind_direction_120m,wind_direction_180m,wind_gusts_10m,temperature_80m,temperature_120m,temperature_180m,soil_temperature_0cm,soil_temperature_6cm,soil_temperature_18cm,soil_temperature_54cm,soil_moisture_0_to_1cm,soil_moisture_1_to_3cm,soil_moisture_3_to_9cm,soil_moisture_9_to_27cm,soil_moisture_27_to_81cm,uv_index,uv_index_clear_sky,is_day,cape,freezing_level_height,sunshine_duration,shortwave_radiation,direct_radiation,diffuse_radiation,direct_normal_irradiance,global_tilted_irradiance,terrestrial_radiation,shortwave_radiation_instant,direct_radiation_instant,diffuse_radiation_instant,direct_normal_irradiance_instant,global_tilted_irradiance_instant,terrestrial_radiation_instant";
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+
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+ //彩云天气api接口
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+ String url = "http://weather-api.xm-opt.com/v1/forecast15Minutes?longitude=" + longitude + "&latitude=" + latitude + "&start_date=" + day + "&end_date=" + day14 + "&timezone=Asia/Shanghai&minutely_15=" + fieldNames + ",&apikey=FG9yxRdv14HTwYOl";
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+ String body = HttpUtil.createGet(url).execute().charset("utf-8").body();
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+ JSONObject jsonObject = JSONUtil.parseObj(body);
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+ JSONObject result = JSONUtil.parseObj(jsonObject.get("minutely_15"));
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+ // 将 JSONObject 转换为 Map
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+ Map<String, Object> map = result.toBean(LinkedHashMap.class);
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+ //map里的key都是BaiDu实体类的属性 怎么整合转换成一个list
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+ // 创建一个 List 来存储 BaiDu 实例
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+ List<BaiDu> baiduList = new ArrayList<>();
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+ // 遍历 Map 的条目
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+ for (Map.Entry<String, Object> entry : map.entrySet()) {
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+ // 获取当前属性名
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+ String propertyName = entry.getKey();
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+
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+ // 获取当前属性的值列表
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+ List<String> propertyValues = (List<String>) entry.getValue();
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+
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+ // 确保所有属性都有相同的值数量
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+ if (baiduList.isEmpty()) {
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+ // 第一次遍历时初始化列表大小
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+ for (int i = 0; i < propertyValues.size(); i++) {
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+ baiduList.add(new BaiDu());
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+ }
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+ } else {
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+ // 验证当前属性值的数量与之前的一致
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+ if (propertyValues.size() != baiduList.size()) {
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+ throw new IllegalArgumentException("Inconsistent number of values for property: " + propertyName);
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+ }
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+ }
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+ extracted(propertyValues, propertyName, baiduList);
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+ }
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+ if (!baiduList.isEmpty()) {
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+ String sql = "INSERT INTO baidu (" +
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+ " time," +
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+ " temperature_2m," +
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+ " relative_humidity_2m," +
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+ " dew_point_2m," +
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+ " apparent_temperature," +
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+ " precipitation_probability," +
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+ " precipitation," +
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+ " rain," +
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+ " showers," +
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+ " snowfall," +
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+ " snow_depth," +
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+ " weather_code," +
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+ " pressure_msl," +
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+ " surface_pressure," +
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+ " cloud_cover," +
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+ " cloud_cover_low," +
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+ " cloud_cover_mid," +
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+ " cloud_cover_high," +
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+ " visibility," +
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+ " evapotranspiration," +
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+ " et0_fao_evapotranspiration," +
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+ " vapour_pressure_deficit," +
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+ " wind_speed_10m," +
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+ " wind_speed_80m," +
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+ " wind_speed_120m," +
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+ " wind_speed_180m," +
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+ " wind_direction_10m," +
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+ " wind_direction_80m," +
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+ " wind_direction_120m," +
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+ " wind_direction_180m," +
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+ " wind_gusts_10m," +
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+ " temperature_80m," +
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+ " temperature_120m," +
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+ " temperature_180m," +
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+ " soil_temperature_0cm," +
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+ " soil_temperature_6cm," +
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+ " soil_temperature_18cm," +
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+ " soil_temperature_54cm," +
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+ " soil_moisture_0_to_1cm," +
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+ " soil_moisture_1_to_3cm," +
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+ " soil_moisture_3_to_9cm," +
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+ " soil_moisture_9_to_27cm," +
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+ " soil_moisture_27_to_81cm," +
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+ " uv_index," +
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+ " uv_index_clear_sky," +
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+ " is_day," +
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+ " cape," +
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+ " freezing_level_height," +
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+ " sunshine_duration," +
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+ " shortwave_radiation," +
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+ " direct_radiation," +
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+ " diffuse_radiation," +
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+ " direct_normal_irradiance," +
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+ " global_tilted_irradiance," +
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+ " terrestrial_radiation," +
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+ " shortwave_radiation_instant," +
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+ " direct_radiation_instant," +
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+ " diffuse_radiation_instant," +
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+ " direct_normal_irradiance_instant," +
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+ " global_tilted_irradiance_instant," +
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+ " terrestrial_radiation_instant," +
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+ " station_code," +
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+ " insert_time" +
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+ ")" +
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+ "VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)";
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+
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+ try {
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+ PreparedStatement pstmt = conn.prepareStatement(sql);
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+ conn.setAutoCommit(false);
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+ log.info("百度天气：共{}条记录", baiduList.size());
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+ for (BaiDu b : baiduList) {
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+ // 设置参数
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+ pstmt.setString(1, b.getTime());
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+ pstmt.setString(2, b.getTemperature_2m());
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+ pstmt.setString(3, b.getRelative_humidity_2m());
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+ pstmt.setString(4, b.getDew_point_2m());
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+ pstmt.setString(5, b.getApparent_temperature());
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+ pstmt.setString(6, b.getPrecipitation_probability());
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+ pstmt.setString(7, b.getPrecipitation());
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+ pstmt.setString(8, b.getRain());
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+ pstmt.setString(9, b.getShowers());
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+ pstmt.setString(10, b.getSnowfall());
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+ pstmt.setString(11, b.getSnow_depth());
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+ pstmt.setString(12, b.getWeather_code());
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+ pstmt.setString(13, b.getPressure_msl());
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+ pstmt.setString(14, b.getSurface_pressure());
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+ pstmt.setString(15, b.getCloud_cover());
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+ pstmt.setString(16, b.getCloud_cover_low());
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+ pstmt.setString(17, b.getCloud_cover_mid());
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+ pstmt.setString(18, b.getCloud_cover_high());
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+ pstmt.setString(19, b.getVisibility());
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+ pstmt.setString(20, b.getEvapotranspiration());
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+ pstmt.setString(21, b.getEt0_fao_evapotranspiration());
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+ pstmt.setString(22, b.getVapour_pressure_deficit());
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+ pstmt.setString(23, b.getWind_speed_10m());
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+ pstmt.setString(24, b.getWind_speed_80m());
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+ pstmt.setString(25, b.getWind_speed_120m());
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+ pstmt.setString(26, b.getWind_speed_180m());
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+ pstmt.setString(27, b.getWind_direction_10m());
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+ pstmt.setString(28, b.getWind_direction_80m());
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+ pstmt.setString(29, b.getWind_direction_120m());
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+ pstmt.setString(30, b.getWind_direction_180m());
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+ pstmt.setString(31, b.getWind_gusts_10m());
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+ pstmt.setString(32, b.getTemperature_80m());
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+ pstmt.setString(33, b.getTemperature_120m());
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+ pstmt.setString(34, b.getTemperature_180m());
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+ pstmt.setString(35, b.getSoil_temperature_0cm());
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+ pstmt.setString(36, b.getSoil_temperature_6cm());
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+ pstmt.setString(37, b.getSoil_temperature_18cm());
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+ pstmt.setString(38, b.getSoil_temperature_54cm());
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+ pstmt.setString(39, b.getSoil_moisture_0_to_1cm());
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+ pstmt.setString(40, b.getSoil_moisture_1_to_3cm());
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+ pstmt.setString(41, b.getSoil_moisture_3_to_9cm());
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+ pstmt.setString(42, b.getSoil_moisture_9_to_27cm());
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+ pstmt.setString(43, b.getSoil_moisture_27_to_81cm());
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+ pstmt.setString(44, b.getUv_index());
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+ pstmt.setString(45, b.getUv_index_clear_sky());
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+ pstmt.setString(46, b.getIs_day());
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+ pstmt.setString(47, b.getCape());
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+ pstmt.setString(48, b.getFreezing_level_height());
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+ pstmt.setString(49, b.getSunshine_duration());
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+ pstmt.setString(50, b.getShortwave_radiation());
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+ pstmt.setString(51, b.getDirect_radiation());
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+ pstmt.setString(52, b.getDiffuse_radiation());
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+ pstmt.setString(53, b.getDirect_normal_irradiance());
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+ pstmt.setString(54, b.getGlobal_tilted_irradiance());
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+ pstmt.setString(55, b.getTerrestrial_radiation());
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+ pstmt.setString(56, b.getShortwave_radiation_instant());
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+ pstmt.setString(57, b.getDirect_radiation_instant());
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+ pstmt.setString(58, b.getDiffuse_radiation_instant());
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+ pstmt.setString(59, b.getDirect_normal_irradiance_instant());
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+ pstmt.setString(60, b.getGlobal_tilted_irradiance_instant());
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+ pstmt.setString(61, b.getTerrestrial_radiation_instant());
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+ pstmt.setString(62, stationCode);
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+ pstmt.setString(63, day0);
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+ // 添加当前记录到批处理中
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+ pstmt.addBatch();
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+ }
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+ pstmt.executeBatch();
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+ conn.commit();
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+ } catch (Exception e) {
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+ throw new RuntimeException(e);
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+ }
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+ }
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+ log.info("场站编号:{} ,{}下载:{}-{} 百度天气预测数据下载完成", stationCode, day0, day, day14);
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+ }
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+
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+ private void extracted(List<String> propertyValues, String propertyName, List<BaiDu> baiduList) {
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+ // 设置每个 BaiDu 实例的属性
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+ for (int i = 0; i < propertyValues.size(); i++) {
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+ switch (propertyName) {
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+ case "time":
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+ baiduList.get(i).setTime(String.valueOf(propertyValues.get(i)));
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+ break;
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+ case "temperature_2m":
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+ baiduList.get(i).setTemperature_2m(String.valueOf(propertyValues.get(i)));
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+ break;
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+ case "relative_humidity_2m":
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+ baiduList.get(i).setRelative_humidity_2m(String.valueOf(propertyValues.get(i)));
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+ break;
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+ case "dew_point_2m":
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+ baiduList.get(i).setDew_point_2m(String.valueOf(propertyValues.get(i)));
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+ break;
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+ case "apparent_temperature":
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+ baiduList.get(i).setApparent_temperature(String.valueOf(propertyValues.get(i)));
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+ break;
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+ case "precipitation_probability":
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+ baiduList.get(i).setPrecipitation_probability(String.valueOf(propertyValues.get(i)));
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+ break;
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+ case "precipitation":
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+ baiduList.get(i).setPrecipitation(String.valueOf(propertyValues.get(i)));
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+ break;
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+ case "rain":
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+ baiduList.get(i).setRain(String.valueOf(propertyValues.get(i)));
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+ break;
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+ case "showers":
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+ baiduList.get(i).setShowers(String.valueOf(propertyValues.get(i)));
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+ break;
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+ case "snowfall":
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+ baiduList.get(i).setSnowfall(String.valueOf(propertyValues.get(i)));
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+ break;
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+ case "snow_depth":
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+ baiduList.get(i).setSnow_depth(String.valueOf(propertyValues.get(i)));
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+ break;
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+ case "weather_code":
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+ baiduList.get(i).setWeather_code(String.valueOf(propertyValues.get(i)));
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+ break;
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+ case "pressure_msl":
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+ baiduList.get(i).setPressure_msl(String.valueOf(propertyValues.get(i)));
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+ break;
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+ case "surface_pressure":
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+ baiduList.get(i).setSurface_pressure(String.valueOf(propertyValues.get(i)));
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+ break;
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+ case "cloud_cover":
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+ baiduList.get(i).setCloud_cover(String.valueOf(propertyValues.get(i)));
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+ break;
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+ case "cloud_cover_low":
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+ baiduList.get(i).setCloud_cover_low(String.valueOf(propertyValues.get(i)));
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+ break;
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+ case "cloud_cover_mid":
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+ baiduList.get(i).setCloud_cover_mid(String.valueOf(propertyValues.get(i)));
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+ break;
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+ case "cloud_cover_high":
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+ baiduList.get(i).setCloud_cover_high(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "visibility":
|
|
|
+ baiduList.get(i).setVisibility(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "evapotranspiration":
|
|
|
+ baiduList.get(i).setEvapotranspiration(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "et0_fao_evapotranspiration":
|
|
|
+ baiduList.get(i).setEt0_fao_evapotranspiration(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "vapour_pressure_deficit":
|
|
|
+ baiduList.get(i).setVapour_pressure_deficit(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "wind_speed_10m":
|
|
|
+ baiduList.get(i).setWind_speed_10m(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "wind_speed_80m":
|
|
|
+ baiduList.get(i).setWind_speed_80m(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "wind_speed_120m":
|
|
|
+ baiduList.get(i).setWind_speed_120m(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "wind_speed_180m":
|
|
|
+ baiduList.get(i).setWind_speed_180m(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "wind_direction_10m":
|
|
|
+ baiduList.get(i).setWind_direction_10m(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "wind_direction_80m":
|
|
|
+ baiduList.get(i).setWind_direction_80m(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "wind_direction_120m":
|
|
|
+ baiduList.get(i).setWind_direction_120m(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "wind_direction_180m":
|
|
|
+ baiduList.get(i).setWind_direction_180m(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "wind_gusts_10m":
|
|
|
+ baiduList.get(i).setWind_gusts_10m(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "temperature_80m":
|
|
|
+ baiduList.get(i).setTemperature_80m(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "temperature_120m":
|
|
|
+ baiduList.get(i).setTemperature_120m(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "temperature_180m":
|
|
|
+ baiduList.get(i).setTemperature_180m(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "soil_temperature_0cm":
|
|
|
+ baiduList.get(i).setSoil_temperature_0cm(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "soil_temperature_6cm":
|
|
|
+ baiduList.get(i).setSoil_temperature_6cm(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "soil_temperature_18cm":
|
|
|
+ baiduList.get(i).setSoil_temperature_18cm(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "soil_temperature_54cm":
|
|
|
+ baiduList.get(i).setSoil_temperature_54cm(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "soil_moisture_0_to_1cm":
|
|
|
+ baiduList.get(i).setSoil_moisture_0_to_1cm(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "soil_moisture_1_to_3cm":
|
|
|
+ baiduList.get(i).setSoil_moisture_1_to_3cm(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "soil_moisture_3_to_9cm":
|
|
|
+ baiduList.get(i).setSoil_moisture_3_to_9cm(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "soil_moisture_9_to_27cm":
|
|
|
+ baiduList.get(i).setSoil_moisture_9_to_27cm(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "soil_moisture_27_to_81cm":
|
|
|
+ baiduList.get(i).setSoil_moisture_27_to_81cm(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "uv_index":
|
|
|
+ baiduList.get(i).setUv_index(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "uv_index_clear_sky":
|
|
|
+ baiduList.get(i).setUv_index_clear_sky(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "is_day":
|
|
|
+ baiduList.get(i).setIs_day(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "cape":
|
|
|
+ baiduList.get(i).setCape(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "freezing_level_height":
|
|
|
+ baiduList.get(i).setFreezing_level_height(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "sunshine_duration":
|
|
|
+ baiduList.get(i).setSunshine_duration(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "shortwave_radiation":
|
|
|
+ baiduList.get(i).setShortwave_radiation(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "direct_radiation":
|
|
|
+ baiduList.get(i).setDirect_radiation(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "diffuse_radiation":
|
|
|
+ baiduList.get(i).setDiffuse_radiation(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "direct_normal_irradiance":
|
|
|
+ baiduList.get(i).setDirect_normal_irradiance(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "global_tilted_irradiance":
|
|
|
+ baiduList.get(i).setGlobal_tilted_irradiance(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "terrestrial_radiation":
|
|
|
+ baiduList.get(i).setTerrestrial_radiation(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "shortwave_radiation_instant":
|
|
|
+ baiduList.get(i).setShortwave_radiation_instant(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "direct_radiation_instant":
|
|
|
+ baiduList.get(i).setDirect_radiation_instant(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "diffuse_radiation_instant":
|
|
|
+ baiduList.get(i).setDiffuse_radiation_instant(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "direct_normal_irradiance_instant":
|
|
|
+ baiduList.get(i).setDirect_normal_irradiance_instant(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "global_tilted_irradiance_instant":
|
|
|
+ baiduList.get(i).setGlobal_tilted_irradiance_instant(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ case "terrestrial_radiation_instant":
|
|
|
+ baiduList.get(i).setTerrestrial_radiation_instant(String.valueOf(propertyValues.get(i)));
|
|
|
+ break;
|
|
|
+ default:
|
|
|
+ // 处理未知属性
|
|
|
+ throw new IllegalArgumentException("Unknown property: " + propertyName);
|
|
|
+ }
|
|
|
+ }
|
|
|
+ }
|
|
|
}
|
