2026-03-25提交：查询接口调整，新增eventId
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@ -60,8 +60,10 @@ public class DnerController {
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@GetMapping("/intraday/query")
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public Result<HourlyPowerOutageEventChartVO> queryIntradayData(@RequestParam String orgCode,
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@RequestParam String startDate,
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@RequestParam String endDate) {
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return Result.success(dnerHourlyPowerOutageEventService.queryIntradayData(orgCode, startDate, endDate));
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@RequestParam String endDate,
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@RequestParam String eventId) {
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return Result.success(dnerHourlyPowerOutageEventService.queryIntradayData(
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orgCode, startDate, endDate, eventId));
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}
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@ -76,8 +78,10 @@ public class DnerController {
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@GetMapping("/kline/query")
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public Result<DailyPowerOutageEventVO> queryKlineData(@RequestParam String orgCode,
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@RequestParam String startDate,
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@RequestParam String endDate) {
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return Result.success(dnerDailyPowerOutageEventService.queryKlineData(orgCode, startDate, endDate));
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@RequestParam String endDate,
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@RequestParam String eventId) {
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return Result.success(dnerDailyPowerOutageEventService.queryKlineData(
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orgCode, startDate, endDate, eventId));
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}
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/**
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@ -17,5 +17,6 @@ import java.util.List;
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public interface DnerDailyPowerOutageEventMapper extends BaseMapper<DnerDailyPowerOutageEvent> {
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List<DnerDailyPowerOutageEvent> selectListByConditions(@Param("orgCode") String orgCode,
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@Param("startDate") String startDate,
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@Param("endDate") String endDate);
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@Param("endDate") String endDate,
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@Param("eventId") String eventId);
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}
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@ -19,7 +19,8 @@ import java.util.Map;
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public interface DnerHourlyPowerOutageEventMapper extends BaseMapper<DnerHourlyPowerOutageEvent> {
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List<DnerHourlyPowerOutageEvent> selectListByConditions(@Param("orgCode") String orgCode,
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@Param("startDate") String startDate,
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@Param("endDate") String endDate);
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@Param("endDate") String endDate,
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@Param("eventId") String eventId);
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/**
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* 批量插入事件记录
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@ -16,9 +16,12 @@ public class AreaTreeReq {
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* DAILY-日K图
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* HOURLY-分时图
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*/
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@NotBlank(message = "查询类型不能为空")
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@NotBlank(message = "queryType can not be empty!")
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String queryType;
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@NotBlank(message = "eventId can not be empty!")
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Long eventId;
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// ================= 用于高级筛选的属性 ====================
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/**
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* 过去XX小时/天
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@ -1,6 +1,5 @@
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package com.southern.power.grid.service;
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import com.alibaba.fastjson2.JSONObject;
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import com.baomidou.mybatisplus.extension.service.IService;
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import com.southern.power.grid.entity.DailyPowerOutageEventVO;
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import com.southern.power.grid.entity.DnerDailyPowerOutageEvent;
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@ -15,10 +14,11 @@ public interface IDnerDailyPowerOutageEventService extends IService<DnerDailyPow
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/**
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* 查询K线图数据
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*
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* @param orgCode 地区编码
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* @param orgCode 地区编码
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* @param startDate 开始时间
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* @param endDate 结束时间
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* @param endDate 结束时间
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* @param eventId 事件ID
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* @return 返回结果
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*/
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DailyPowerOutageEventVO queryKlineData(String orgCode, String startDate, String endDate);
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DailyPowerOutageEventVO queryKlineData(String orgCode, String startDate, String endDate, String eventId);
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}
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@ -14,12 +14,13 @@ public interface IDnerHourlyPowerOutageEventService extends IService<DnerHourlyP
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/**
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* 查询分时图数据
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*
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* @param orgCode 地区编码
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* @param orgCode 地区编码
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* @param startDate 开始时间
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* @param endDate 结束时间
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* @param endDate 结束时间
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* @param eventId 事件ID
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* @return 返回结果
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*/
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HourlyPowerOutageEventChartVO queryIntradayData(String orgCode, String startDate, String endDate);
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HourlyPowerOutageEventChartVO queryIntradayData(String orgCode, String startDate, String endDate, String eventId);
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/**
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* 停电开始时间超过7天自动归为已复电
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@ -30,11 +30,11 @@ public class DnerDailyPowerOutageEventServiceImpl
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private DnerDailyPowerOutageEventMapper dnerDailyPowerOutageEventMapper;
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@Override
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public DailyPowerOutageEventVO queryKlineData(String orgCode, String startDate, String endDate) {
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public DailyPowerOutageEventVO queryKlineData(String orgCode, String startDate, String endDate, String eventId) {
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// 为了计算ma5/10/20/30，查询起始日期往前推29天的记录
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String beforeNumDays = TimeUtil.getBeforeNumDays(startDate, 29); // 获取前29天的日期
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List<DnerDailyPowerOutageEvent> dataList = dnerDailyPowerOutageEventMapper.selectListByConditions(
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orgCode, beforeNumDays, endDate);
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orgCode, beforeNumDays, endDate, eventId);
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Map<String, DnerDailyPowerOutageEvent> dateTimeAndEntityMap = dataList.stream().collect(Collectors.toMap(
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DnerDailyPowerOutageEvent::getDataTime, Function.identity(), (k1, k2) -> k1));
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DailyPowerOutageEventVO result = new DailyPowerOutageEventVO();
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@ -33,11 +33,11 @@ public class DnerHourlyPowerOutageEventServiceImpl
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private DnerHourlyPowerOutageEventMapper dnerHourlyPowerOutageEventMapper;
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@Override
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public HourlyPowerOutageEventChartVO queryIntradayData(String orgCode, String startDate, String endDate) {
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public HourlyPowerOutageEventChartVO queryIntradayData(String orgCode, String startDate, String endDate, String eventId) {
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startDate = startDate.substring(0, 13) + ":00";
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endDate = endDate.substring(0, 13) + ":00";
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List<DnerHourlyPowerOutageEvent> dataList = dnerHourlyPowerOutageEventMapper.selectListByConditions(
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orgCode, startDate, endDate);
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orgCode, startDate, endDate, eventId);
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Map<String, DnerHourlyPowerOutageEvent> dateTimeAndEntityMap = dataList.stream().collect(Collectors.toMap(
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DnerHourlyPowerOutageEvent::getDataTime, Function.identity(), (k1, k2) -> k1));
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HourlyPowerOutageEventChartVO result = new HourlyPowerOutageEventChartVO();
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@ -4,7 +4,7 @@
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<!-- namespace 必须 = Mapper 接口全类名 -->
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<mapper namespace="com.southern.power.grid.dao.DnerDailyPowerOutageEventMapper">
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<select id="selectListByConditions">
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<select id="selectListByConditions" resultType="com.southern.power.grid.entity.DnerDailyPowerOutageEvent">
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select `id`, `org_code`, `data_time`, `hourly_precipitation`, `daily_precipitation`, `temperature`,
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`hourly_max_temperature`, `hourly_min_temperature`, `extreme_wind_speed_hourly`, `user_count`,
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`star_user_count`, `end_user_count`, `min_user_count`, `max_user_count`, `fault_star_user_count`,
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@ -15,6 +15,7 @@
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where org_code = #{orgCode}
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and data_time >= #{startDate}
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and data_time <![CDATA[ <= ]]> #{endDate}
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and event_id = #{eventId}
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order by data_time asc
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</select>
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</mapper>
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@ -13,6 +13,7 @@
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where org_code = #{orgCode}
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and data_time >= #{startDate}
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and data_time <![CDATA[ <= ]]> #{endDate}
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and event_id = #{eventId}
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order by data_time asc
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</select>
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@ -42,6 +42,7 @@
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where t1.district_code = t2.org_code
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and t2.data_time >= #{param.rainStartDateTime}
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and t2.data_time <![CDATA[ < ]]> #{param.currentDateTime}
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and t2.event_id = #{param.eventId}
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having sum(t2.hourly_precipitation) > #{param.pastTimeRainCount})
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</if>
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<if test="param.avgTempPastTime != null and param.avgTempPastTime != 0">
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@ -52,6 +53,7 @@
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where t1.district_code = t2.org_code
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and t2.data_time >= #{param.avgTempStartDateTime}
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and t2.data_time <![CDATA[ < ]]> #{param.currentDateTime}
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and t2.event_id = #{param.eventId}
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having avg(t2.temperature) > #{param.pastTimeAvgTempCount})
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</if>
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<if test="param.maxWindPastTime != null and param.maxWindPastTime != 0">
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@ -62,6 +64,7 @@
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where t1.district_code = t2.org_code
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and t2.data_time >= #{param.maxWindStartDateTime}
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and t2.data_time <![CDATA[ < ]]> #{param.currentDateTime}
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and t2.event_id = #{param.eventId}
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having avg(t2.extreme_wind_speed_hourly) > #{param.pastTimeMaxWindCount})
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</if>
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<if test="param.powerOutageTimePastTime != null and param.powerOutageTimePastTime != 0">
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@ -72,6 +75,7 @@
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where t1.district_code = t2.org_code
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and t2.data_time >= #{param.powerOutageTimeStartDateTime}
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and t2.data_time <![CDATA[ < ]]> #{param.currentDateTime}
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and t2.event_id = #{param.eventId}
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having sum(t2.power_outage_duration) > #{param.pastTimePowerOutageTimeCount})
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</if>
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<if test="param.powerOutageUserPastTime != null and param.powerOutageUserPastTime != 0">
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@ -82,6 +86,7 @@
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where t1.district_code = t2.org_code
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and t2.data_time >= #{param.powerOutageUserStartDateTime}
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and t2.data_time <![CDATA[ < ]]> #{param.currentDateTime}
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and t2.event_id = #{param.eventId}
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having sum(t2.user_count) > #{param.pastTimePowerOutageUserCount})
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</if>
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<if test="param.powerOutageRatioPastTime != null and param.powerOutageRatioPastTime != 0">
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@ -92,12 +97,15 @@
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where t1.district_code = t2.org_code
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and t2.data_time >= #{param.powerOutageRatioStartDateTime}
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and t2.data_time <![CDATA[ < ]]> #{param.currentDateTime}
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and t2.event_id = #{param.eventId}
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having avg(t2.not_restored_user_count/(t2.restored_user_count + t2.not_restored_user_count)) > #{param.pastTimePowerOutageRatioCount})
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</if>
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</when>
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<otherwise>
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# 过滤得到已存在数据的分时图
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AND EXISTS (select 1 from dner_hourly_power_outage_event t2 where t1.district_code = t2.org_code)
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AND EXISTS (select 1
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from dner_hourly_power_outage_event t2
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where t1.district_code = t2.org_code and t2.event_id = #{param.eventId})
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</otherwise>
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</choose>
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</select>
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@ -118,6 +126,7 @@
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where t1.district_code = t2.org_code
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and t2.data_time >= #{param.rainStartDateTime}
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and t2.data_time <![CDATA[ < ]]> #{param.currentDateTime}
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and t2.event_id = #{param.eventId}
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having sum(t2.daily_precipitation) > #{param.pastTimeRainCount})
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</if>
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<if test="param.avgTempPastTime != null and param.avgTempPastTime != 0">
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@ -128,6 +137,7 @@
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where t1.district_code = t2.org_code
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and t2.data_time >= #{param.avgTempStartDateTime}
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and t2.data_time <![CDATA[ < ]]> #{param.currentDateTime}
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and t2.event_id = #{param.eventId}
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having avg(t2.temperature) > #{param.pastTimeAvgTempCount})
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</if>
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<if test="param.maxWindPastTime != null and param.maxWindPastTime != 0">
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@ -138,6 +148,7 @@
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where t1.district_code = t2.org_code
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and t2.data_time >= #{param.maxWindStartDateTime}
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and t2.data_time <![CDATA[ < ]]> #{param.currentDateTime}
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and t2.event_id = #{param.eventId}
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having avg(t2.extreme_wind_speed_hourly) > #{param.pastTimeMaxWindCount})
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</if>
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<if test="param.powerOutageTimePastTime != null and param.powerOutageTimePastTime != 0">
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@ -148,6 +159,7 @@
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where t1.district_code = t2.org_code
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and t2.data_time >= #{param.powerOutageTimeStartDateTime}
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and t2.data_time <![CDATA[ < ]]> #{param.currentDateTime}
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and t2.event_id = #{param.eventId}
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having sum(t2.power_outage_duration) > #{param.pastTimePowerOutageTimeCount})
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</if>
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<if test="param.powerOutageUserPastTime != null and param.powerOutageUserPastTime != 0">
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@ -158,6 +170,7 @@
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where t1.district_code = t2.org_code
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and t2.data_time >= #{param.powerOutageUserStartDateTime}
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and t2.data_time <![CDATA[ < ]]> #{param.currentDateTime}
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and t2.event_id = #{param.eventId}
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having sum(t2.user_count) > #{param.pastTimePowerOutageUserCount})
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</if>
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<if test="param.powerOutageRatioPastTime != null and param.powerOutageRatioPastTime != 0">
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@ -168,12 +181,15 @@
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where t1.district_code = t2.org_code
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and t2.data_time >= #{param.powerOutageRatioStartDateTime}
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and t2.data_time <![CDATA[ < ]]> #{param.currentDateTime}
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and t2.event_id = #{param.eventId}
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having avg(t2.not_restored_user_count/(t2.restored_user_count + t2.not_restored_user_count)) > #{param.pastTimePowerOutageRatioCount})
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</if>
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</when>
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<otherwise>
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# 过滤得到已存在数据的K线图
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AND EXISTS (select 1 from dner_daily_power_outage_event t2 where t1.district_code = t2.org_code)
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AND EXISTS (select 1
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from dner_daily_power_outage_event t2
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where t1.district_code = t2.org_code and t2.event_id = #{param.eventId})
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</otherwise>
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</choose>
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</select>
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