feat(吉林演示): 松原

1.开发中间库表结构及数据导出功能,检查中间库表结构是否有变动,同时获取最新数据,验证数据是否更新;
2.创建场站每日信息统计记录表,新建场站日信息数据采集汇总定时任务,整理汇总场站纬度每日数据,完成功能验证;
3.针对吉林提供的统计数据,对吉林首页部分功能修改;
4.针对中间库每日井口数据统计表结构变动,修改井口日统计定时任务数据处理逻辑,完成功能验证;
5.修改日发电量统计定时任务,排查数据丢失问题,完成功能验证;
6.修改场站每日信息汇总统计定时任务,增加统计每日光伏发电量逻辑,修改表结构及数据结构和业务处理逻辑,完成功能验证;
7.修改吉林首页线路详情接口,区分部署环境,增加吉林个性化数据处理逻辑,完成接口冒烟测试;
8.修改实际发电功率统计定时任务,排查数据丢失问题,完成功能验证;
9.修改实际发电量统计定时任务,排查数据丢失问题,完成功能验证;
10.修改吉林首页井场效果评价数据统计接口,区分部署环境,增加吉林个性化数据处理逻辑,完成接口冒烟测试;
11.能耗分析页面开发吉林个性化功能,完成电量统计接口开发,编辑线上接口文档并生成接口用例,完成接口冒烟测试;
12.能耗分析页面开发吉林个性化功能,完成发电量统计接口开发,编辑线上接口文档并生成接口用例,完成接口冒烟测试;
13.能耗分析页面开发吉林个性化功能,完成用电量统计接口开发,编辑线上接口文档并生成接口用例,完成接口冒烟测试;
14.能耗分析页面开发吉林个性化功能,完成峰谷能耗对比分析接口开发,编辑线上接口文档并生成接口用例,完成接口冒烟测试;
15.能耗分析页面开发吉林个性化功能,完成用能分析接口开发,编辑线上接口文档并生成接口用例,完成接口冒烟测试;
16.间开效果评价页面开发吉林个性化功能,完成发电效益统计接口开发,编辑线上接口文档并生成接口用例,完成接口冒烟测试;
17.间开效果评价页面开发吉林个性化功能,完成发减碳量统计接口开发,编辑线上接口文档并生成接口用例,完成接口冒烟测试;
18.间开效果评价页面开发吉林个性化功能,完成累节电能统计接口开发,编辑线上接口文档并生成接口用例,完成接口冒烟测试;

BREAKING CHANGE: 无

Closes 无

[skip ci]

C13-middle/pps-cloud-middle/src/main/java/pps/cloud/middle/service/IWeatherAttachmentCloudService.java

@@ -26,4 +26,7 @@ public interface IWeatherAttachmentCloudService {
      */
     @XText("获取最新邮件")
     XSingleResult<GetWeatherAttachmentRecordOutput> getLatestEmail(XContext context, GetWeatherAttachmentRecordInput input);
+
+    @XText("获取最新邮件")
+    XSingleResult<GetWeatherAttachmentRecordOutput> getEmail(XContext context, GetWeatherAttachmentRecordInput input);
 }

C13-middle/pps-core-middle/src/main/java/pps/core/middle/service/WeatherAttachmentCloudServiceImpl.java

@@ -12,6 +12,8 @@ import xstartup.base.XContext;
 import xstartup.base.util.XCopyUtils;
 import xstartup.data.XSingleResult;
 
+import java.util.List;
+
 /**
  * 天气附件记录
  *
@@ -24,11 +26,20 @@ public class WeatherAttachmentCloudServiceImpl implements IWeatherAttachmentClou
     public XSingleResult<GetWeatherAttachmentRecordOutput> getLatestEmail(XContext context, GetWeatherAttachmentRecordInput input) {
         WeatherAttachmentRecordMapper mapper = context.getBean(WeatherAttachmentRecordMapper.class);
         String emailName = DateUtil.date().toString("yyyyMMddHH00") + "天气预测数据" + input.getOilFieldCode();
-        WeatherAttachmentRecordEnt ent = mapper.selectOne(new QueryWrapper<WeatherAttachmentRecordEnt>()
+        List<WeatherAttachmentRecordEnt> list = mapper.selectList(new QueryWrapper<WeatherAttachmentRecordEnt>()
                 .select("EMAIL_DATA_TIME", "EMAIL_ATTACHMENT_URL", "EMAIL_NAME")
                 .eq("EMAIL_NAME", emailName)
-                .apply("ROWNUM = 1")
         );
-        return XSingleResult.success(XCopyUtils.copyNewObject(ent, GetWeatherAttachmentRecordOutput.class));
+        return XSingleResult.success(XCopyUtils.copyNewObject(list.get(0), GetWeatherAttachmentRecordOutput.class));
+    }
+
+    @Override
+    public XSingleResult<GetWeatherAttachmentRecordOutput> getEmail(XContext context, GetWeatherAttachmentRecordInput input) {
+        WeatherAttachmentRecordMapper mapper = context.getBean(WeatherAttachmentRecordMapper.class);
+        List<WeatherAttachmentRecordEnt> list = mapper.selectList(new QueryWrapper<WeatherAttachmentRecordEnt>()
+                .select("EMAIL_DATA_TIME", "EMAIL_ATTACHMENT_URL", "EMAIL_NAME")
+                .orderByDesc("EMAIL_NAME")
+        );
+        return XSingleResult.success(XCopyUtils.copyNewObject(list.get(0), GetWeatherAttachmentRecordOutput.class));
     }
 }