zbj//1.单位监测点暂态指标统计 日/月/季 算法

This commit is contained in:
zhangbaojian
2023-06-09 11:16:11 +08:00
parent 7e19126891
commit cb04e33a6a
17 changed files with 1196 additions and 260 deletions

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@@ -0,0 +1,54 @@
package com.njcn.prepare.harmonic.pojo.po;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableName;
import com.github.jeffreyning.mybatisplus.anno.MppMultiId;
import lombok.Data;
import java.time.LocalDate;
/**
* <p>
*
* </p>
*
* @author zbj
* @since 2023-06-08
*/
@Data
@TableName("r_stat_event_m")
public class RStatEventMPO {
@MppMultiId(value = "org_no")
private String orgNo;
@MppMultiId(value = "data_date")
private LocalDate dataDate;
@MppMultiId(value = "measurement_type_class")
private String measurementTypeClass;
@MppMultiId(value = "event_type")
private String eventType;
@TableField(value = "event_measurement_average")
private Float eventMeasurementAverage;
@TableField(value = "event_measurement_accrued")
private Integer eventMeasurementAccrued;
@TableField(value = "event_freq")
private Float eventFreq;
@TableField(value = "event_count")
private Integer eventCount;
@TableField(value = "event_measurement_ratio_average")
private Float eventMeasurementRatioAverage;
@TableField(value = "event_measurement_ratio_accrued")
private Float eventMeasurementRatioAccrued;
@MppMultiId(value = "data_type")
private String dataType;
}

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@@ -0,0 +1,54 @@
package com.njcn.prepare.harmonic.pojo.po;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableName;
import com.github.jeffreyning.mybatisplus.anno.MppMultiId;
import lombok.Data;
import java.time.LocalDate;
/**
* <p>
*
* </p>
*
* @author zbj
* @since 2023-06-08
*/
@Data
@TableName("r_stat_event_q")
public class RStatEventQPO {
@MppMultiId(value = "org_no")
private String orgNo;
@MppMultiId(value = "data_date")
private LocalDate dataDate;
@MppMultiId(value = "measurement_type_class")
private String measurementTypeClass;
@MppMultiId(value = "event_type")
private String eventType;
@TableField(value = "event_measurement_average")
private Float eventMeasurementAverage;
@TableField(value = "event_measurement_accrued")
private Integer eventMeasurementAccrued;
@TableField(value = "event_freq")
private Float eventFreq;
@TableField(value = "event_count")
private Integer eventCount;
@TableField(value = "event_measurement_ratio_average")
private Float eventMeasurementRatioAverage;
@TableField(value = "event_measurement_ratio_accrued")
private Float eventMeasurementRatioAccrued;
@MppMultiId(value = "data_type")
private String dataType;
}

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@@ -0,0 +1,85 @@
package com.njcn.prepare.harmonic.pojo.po;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableName;
import com.github.jeffreyning.mybatisplus.anno.MppMultiId;
import lombok.Data;
import java.time.LocalDate;
/**
* <p>
* 区域分类统计季表
* </p>
*
* @author zbj
* @since 2023-06-09
*/
@Data
@TableName("r_stat_org_q")
public class RStatOrgQPO {
@MppMultiId(value = "org_no")
private String orgNo;
@MppMultiId(value = "data_date")
private LocalDate dataDate;
@MppMultiId(value = "measurement_type_class")
private String measurementTypeClass;
@TableField(value = "all_count")
private Integer allCount;
@TableField(value = "effective_measurement_average")
private Integer effectiveMeasurementAverage;
@TableField(value = "effective_measurement_accrued")
private Integer effectiveMeasurementAccrued;
@TableField(value = "harmonic_measurement_average")
private Integer harmonicMeasurementAverage;
@TableField(value = "harmonic_measurement_accrued")
private Integer harmonicMeasurementAccrued;
@TableField(value = "harmonic_measurement_ratio_average")
private Float harmonicMeasurementRatioAverage;
@TableField(value = "average_over_day")
private Float averageOverDay;
@TableField(value = "freq_pass_rate")
private Float freqPassRate;
@TableField(value = "v_dev_pass_rate")
private Float vDevPassRate;
@TableField(value = "flicker_pass_rate")
private Float flickerPassRate;
@TableField(value = "event_measurement_average")
private Integer eventMeasurementAverage;
@TableField(value = "event_measurement_accrued")
private Integer eventMeasurementAccrued;
@TableField(value = "event_measurement_average")
private Float eventMeasurementRatioAverage;
@TableField(value = "event_freq")
private Float eventFreq;
@TableField(value = "event_count")
private Integer eventCount;
@TableField(value = "should_count")
private Integer shouldCount;
@TableField(value = "warn_count")
private Integer warnCount;
@MppMultiId(value = "data_type")
private String dataType;
}

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@@ -10,7 +10,7 @@ import com.njcn.device.biz.commApi.CommTerminalGeneralClient;
import com.njcn.device.biz.pojo.dto.DeptGetChildrenMoreDTO;
import com.njcn.device.biz.pojo.param.DeptGetLineParam;
import com.njcn.prepare.harmonic.pojo.param.OrgParam;
import com.njcn.prepare.harmonic.service.mysql.newalgorithm.RStatEventDService;
import com.njcn.prepare.harmonic.service.mysql.newalgorithm.RStatEventService;
import com.njcn.user.api.DeptFeignClient;
import com.njcn.user.pojo.po.Dept;
import com.njcn.web.controller.BaseController;
@@ -38,13 +38,13 @@ import java.util.List;
* @version V1.0.0
*/
@Slf4j
@Api(tags = "暂态指标统计")
@Api(tags = "暂态指标统计")
@RestController
@RequestMapping("/rStartEventD")
@RequestMapping("/rStartEvent")
@RequiredArgsConstructor
public class RStatEventDController extends BaseController {
public class RStatEventController extends BaseController {
private final RStatEventDService rStatEventDService;
private final RStatEventService rStatEventDService;
private final CommTerminalGeneralClient commTerminalGeneralClient;
@@ -52,12 +52,12 @@ public class RStatEventDController extends BaseController {
@OperateInfo(info = LogEnum.BUSINESS_COMMON)
@PostMapping("/rStartEventDHandler")
@ApiOperation("暂态指标统计")
@PostMapping("/rStartEventHandler")
@ApiOperation("暂态指标统计")
@ApiImplicitParam(name = "orgParam", value = "参数", required = true)
public HttpResult<String> rStartEventDHandler(@RequestBody @Validated OrgParam orgParam) {
log.info(LocalDateTime.now() + "rStartEventDHandler始执行");
String methodDescribe = getMethodDescribe("rStartEventDHandler");
public HttpResult<String> rStartEventHandler(@RequestBody @Validated OrgParam orgParam) {
log.info(LocalDateTime.now() + "rStartEventHandler始执行");
String methodDescribe = getMethodDescribe("rStartEventHandler");
/**
* 支持补录
*/
@@ -72,7 +72,7 @@ public class RStatEventDController extends BaseController {
deptGetLineParam.setServerName(ServerInfo.PREPARE_BOOT);
List<DeptGetChildrenMoreDTO> data = commTerminalGeneralClient.deptGetLine(deptGetLineParam).getData();
rStatEventDService.rStartEventDHandler(data,orgParam.getDataDate(),orgParam.getType());
rStatEventDService.handler(data,orgParam.getDataDate(),orgParam.getType());
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, null, methodDescribe);
}

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@@ -0,0 +1,18 @@
package com.njcn.prepare.harmonic.mapper.mysql.area;
import com.github.jeffreyning.mybatisplus.base.MppBaseMapper;
import com.njcn.prepare.harmonic.pojo.po.RStatOrgQPO;
import org.apache.ibatis.annotations.Mapper;
/**
*
* Description:
* 接口文档访问地址http://serverIP:port/swagger-ui.html
* Date: 2022/12/14 16:17【需求编号】
*
* @author clam
* @version V1.0.0
*/
@Mapper
public interface RStatOrgQMapper extends MppBaseMapper<RStatOrgQPO> {
}

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@@ -1,7 +1,8 @@
package com.njcn.prepare.harmonic.mapper.mysql.newalgorithm;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import com.github.jeffreyning.mybatisplus.base.MppBaseMapper;
import com.njcn.prepare.harmonic.pojo.po.RStatEventDPO;
import com.njcn.prepare.harmonic.pojo.po.RStatEventMPO;
import org.apache.ibatis.annotations.Mapper;
/**
@@ -13,5 +14,5 @@ import org.apache.ibatis.annotations.Mapper;
* @version V1.0.0
*/
@Mapper
public interface RStatEventDMapper extends BaseMapper<RStatEventDPO> {
public interface RStatEventMPOMapper extends MppBaseMapper<RStatEventMPO> {
}

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@@ -0,0 +1,15 @@
package com.njcn.prepare.harmonic.mapper.mysql.newalgorithm;
import org.apache.ibatis.annotations.Mapper;
/**
* Description:
* 接口文档访问地址http://serverIP:port/swagger-ui.html
* Date: 2022/12/13 15:39【需求编号】
*
* @author clam
* @version V1.0.0
*/
@Mapper
public interface RStatEventMapper {
}

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@@ -0,0 +1,17 @@
package com.njcn.prepare.harmonic.mapper.mysql.newalgorithm;
import com.github.jeffreyning.mybatisplus.base.MppBaseMapper;
import com.njcn.prepare.harmonic.pojo.po.RStatEventQPO;
import org.apache.ibatis.annotations.Mapper;
/**
* Description:
* 接口文档访问地址http://serverIP:port/swagger-ui.html
* Date: 2022/12/13 15:39【需求编号】
*
* @author clam
* @version V1.0.0
*/
@Mapper
public interface RStatEventQPOMapper extends MppBaseMapper<RStatEventQPO> {
}

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@@ -1,5 +1,5 @@
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.njcn.prepare.harmonic.mapper.mysql.newalgorithm.RStatEventDMapper">
<mapper namespace="com.njcn.prepare.harmonic.mapper.mysql.newalgorithm.RStatEventMapper">
</mapper>

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@@ -1,18 +0,0 @@
package com.njcn.prepare.harmonic.service.mysql.newalgorithm;
import com.baomidou.mybatisplus.extension.service.IService;
import com.njcn.device.biz.pojo.dto.DeptGetChildrenMoreDTO;
import com.njcn.prepare.harmonic.pojo.po.RStatEventDPO;
import java.util.List;
/**
* @author zbj
* @since 2023-06-06
*/
public interface RStatEventDService extends IService<RStatEventDPO> {
void rStartEventDHandler(List<DeptGetChildrenMoreDTO> data, String dataDate, Integer type);
}

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@@ -0,0 +1,14 @@
package com.njcn.prepare.harmonic.service.mysql.newalgorithm;
import com.github.jeffreyning.mybatisplus.service.IMppService;
import com.njcn.prepare.harmonic.pojo.po.RStatEventMPO;
/**
* @author zbj
* @since 2023-06-08
*/
public interface RStatEventMPOService extends IMppService<RStatEventMPO> {
}

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@@ -0,0 +1,14 @@
package com.njcn.prepare.harmonic.service.mysql.newalgorithm;
import com.github.jeffreyning.mybatisplus.service.IMppService;
import com.njcn.prepare.harmonic.pojo.po.RStatEventQPO;
/**
* @author zbj
* @since 2023-06-09
*/
public interface RStatEventQPOService extends IMppService<RStatEventQPO> {
}

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@@ -0,0 +1,16 @@
package com.njcn.prepare.harmonic.service.mysql.newalgorithm;
import com.njcn.device.biz.pojo.dto.DeptGetChildrenMoreDTO;
import java.util.List;
/**
* @author zbj
* @since 2023-06-06
*/
public interface RStatEventService {
void handler(List<DeptGetChildrenMoreDTO> data, String dataDate, Integer type);
}

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@@ -1,228 +0,0 @@
package com.njcn.prepare.harmonic.service.mysql.newalgorithm.impl;
import cn.hutool.core.date.DateUtil;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.njcn.device.biz.commApi.CommTerminalGeneralClient;
import com.njcn.device.biz.pojo.dto.DeptGetChildrenMoreDTO;
import com.njcn.device.biz.pojo.dto.LineDevGetDTO;
import com.njcn.harmonic.pojo.po.RMpEventDetailDPO;
import com.njcn.harmonic.pojo.po.RStatOrgDPO;
import com.njcn.prepare.harmonic.mapper.mysql.area.RStatOrgDMapper;
import com.njcn.prepare.harmonic.mapper.mysql.line.RMpEventDetailDMapper;
import com.njcn.prepare.harmonic.mapper.mysql.newalgorithm.RStatEventDMapper;
import com.njcn.prepare.harmonic.pojo.po.RStatEventDPO;
import com.njcn.prepare.harmonic.service.mysql.newalgorithm.RStatEventDPOService;
import com.njcn.prepare.harmonic.service.mysql.newalgorithm.RStatEventDService;
import com.njcn.system.api.DicDataFeignClient;
import com.njcn.system.enums.DicDataEnum;
import com.njcn.system.enums.DicDataTypeEnum;
import com.njcn.system.pojo.po.DictData;
import com.njcn.user.api.DeptFeignClient;
import lombok.RequiredArgsConstructor;
import org.springframework.stereotype.Service;
import org.springframework.util.CollectionUtils;
import java.text.DecimalFormat;
import java.time.LocalDate;
import java.time.ZoneId;
import java.util.*;
import java.util.stream.Collectors;
/**
* <p>
* 终端检测监督
* </p>
*
* @author zbj
* @since 2023-06-06
*/
@Service
@RequiredArgsConstructor
public class RStatEventDServiceImpl extends ServiceImpl<RStatEventDMapper, RStatEventDPO> implements RStatEventDService {
private final CommTerminalGeneralClient commTerminalGeneralClient;
private final DeptFeignClient deptFeignClient;
private final DicDataFeignClient dicDataFeignClient;
private final RStatEventDMapper rStatEventDMapper;
private final RMpEventDetailDMapper rMpEventDetailDMapper;
private final RStatEventDPOService rStatEventDPOService;
private final RStatOrgDMapper rStatOrgDMapper;
@Override
public void rStartEventDHandler(List<DeptGetChildrenMoreDTO> data, String dataDate, Integer type) {
List<RStatEventDPO> rStatEventDPOList = new ArrayList<>();
DecimalFormat df = new DecimalFormat("0.00");
Date date = DateUtil.parse(dataDate);
LocalDate localDate = date.toInstant().atZone(ZoneId.systemDefault()).toLocalDate();
/*获取暂态统计指标*/
List<DictData> eventStatis = dicDataFeignClient.getDicDataByTypeCode(DicDataTypeEnum.EVENT_STATIS.getCode()).getData();
/*获取数据类型*/
List<DictData> dataTypeList = dicDataFeignClient.getDicDataByTypeCode(DicDataTypeEnum.DATA_TYPE.getCode()).getData();
Map<String, DictData> dataTypeMap = dataTypeList.stream().collect(Collectors.toMap(DictData::getCode, dictData -> dictData));
/*获取监测点类型类型*/
List<DictData> lineSortList = dicDataFeignClient.getDicDataByTypeCode(DicDataTypeEnum.LINE_SORT.getCode()).getData();
Map<String, DictData> lineSortMap = lineSortList.stream().collect(Collectors.toMap(DictData::getCode, dictData -> dictData));
QueryWrapper<RMpEventDetailDPO> rMpEventDetailDPOQueryWrapper = new QueryWrapper<>();
QueryWrapper<RStatOrgDPO> rStatOrgDPOQueryWrapper = new QueryWrapper<>();
data.forEach(deptGetChildrenMoreDTO -> {
/*主网*/
if (!CollectionUtils.isEmpty(deptGetChildrenMoreDTO.getLineBaseList())) {
List<LineDevGetDTO> lineBaseList = deptGetChildrenMoreDTO.getLineBaseList();
Map<Integer, List<LineDevGetDTO>> collect = lineBaseList.stream().collect(Collectors.groupingBy(LineDevGetDTO::getLineType));
collect.forEach((k, v) -> {
List<String> collect1 = v.stream().map(LineDevGetDTO::getPointId).collect(Collectors.toList());
rMpEventDetailDPOQueryWrapper.clear();
rMpEventDetailDPOQueryWrapper.
in("measurement_point_id", collect1).
eq("DATE_FORMAT( data_date ,'%Y-%m-%d')", dataDate);
List<RMpEventDetailDPO> rMpEventDetailDPOS = rMpEventDetailDMapper.selectList(rMpEventDetailDPOQueryWrapper);
rStatOrgDPOQueryWrapper.clear();
rStatOrgDPOQueryWrapper.select("effective_measurement").
eq("org_no", deptGetChildrenMoreDTO.getUnitId()).
eq("measurement_type_class", getmeasurementType(k, lineSortMap)).
eq("data_type", dataTypeMap.get(DicDataEnum.MAINNET_POINT.getCode()).getId()).
eq("DATE_FORMAT( data_date ,'%Y-%m-%d')", dataDate);
RStatOrgDPO rStatOrgDPO = rStatOrgDMapper.selectOne(rStatOrgDPOQueryWrapper);
eventStatis.forEach(dictData -> {
if (Objects.equals(dictData.getCode(), DicDataEnum.DISTURBANCE.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.OTHER.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.RECORDING_WAVE.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.TOTAL_INDICATORS.getCode())) {
return;
}
List<Integer> transientStatisData = getTransientStatisData(dictData, rMpEventDetailDPOS);
RStatEventDPO rStatEventDPO = new RStatEventDPO();
rStatEventDPO.setOrgNo(deptGetChildrenMoreDTO.getUnitId());
rStatEventDPO.setDataDate(localDate);
rStatEventDPO.setMeasurementTypeClass(getmeasurementType(k, lineSortMap));
rStatEventDPO.setEventType(dictData.getId());
rStatEventDPO.setEventMeasurement(transientStatisData.get(0));
rStatEventDPO.setEventCount(transientStatisData.get(1));
rStatEventDPO.setDataType(dataTypeMap.get(DicDataEnum.MAINNET_POINT.getCode()).getId());
if (rStatOrgDPO.getEffectiveMeasurement() == 0) {
rStatEventDPO.setEventMeasurementRatio(1.00f);
} else {
String value = df.format(rStatEventDPO.getEventMeasurement() / rStatOrgDPO.getEffectiveMeasurement());
rStatEventDPO.setEventMeasurementRatio(Float.parseFloat(value));
}
rStatEventDPOList.add(rStatEventDPO);
}
);
});
}
/*配网*/
if (!CollectionUtils.isEmpty(deptGetChildrenMoreDTO.getPwMonitorIds())) {
List<LineDevGetDTO> pwMonitorIds = deptGetChildrenMoreDTO.getPwMonitorIds();
Map<Integer, List<LineDevGetDTO>> collect = pwMonitorIds.stream().collect(Collectors.groupingBy(LineDevGetDTO::getLineType));
collect.forEach((k, v) -> {
List<String> collect1 = v.stream().map(LineDevGetDTO::getPointId).collect(Collectors.toList());
rMpEventDetailDPOQueryWrapper.clear();
rMpEventDetailDPOQueryWrapper.
in("measurement_point_id", collect1).
eq("DATE_FORMAT( data_date ,'%Y-%m-%d')", dataDate);
List<RMpEventDetailDPO> rMpEventDetailDPOS = rMpEventDetailDMapper.selectList(rMpEventDetailDPOQueryWrapper);
rStatOrgDPOQueryWrapper.clear();
rStatOrgDPOQueryWrapper.select("effective_measurement").
eq("org_no", deptGetChildrenMoreDTO.getUnitId()).
eq("measurement_type_class", getmeasurementType(k, lineSortMap)).
eq("data_type", dataTypeMap.get(DicDataEnum.DISTRIBUTION_POINT.getCode()).getId()).
eq("DATE_FORMAT( data_date ,'%Y-%m-%d')", dataDate);
RStatOrgDPO rStatOrgDPO = rStatOrgDMapper.selectOne(rStatOrgDPOQueryWrapper);
eventStatis.forEach(dictData -> {
if (Objects.equals(dictData.getCode(), DicDataEnum.DISTURBANCE.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.OTHER.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.RECORDING_WAVE.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.TOTAL_INDICATORS.getCode())) {
return;
}
List<Integer> transientStatisData = getTransientStatisData(dictData, rMpEventDetailDPOS);
RStatEventDPO rStatEventDPO = new RStatEventDPO();
rStatEventDPO.setOrgNo(deptGetChildrenMoreDTO.getUnitId());
rStatEventDPO.setDataDate(localDate);
rStatEventDPO.setMeasurementTypeClass(getmeasurementType(k, lineSortMap));
rStatEventDPO.setEventType(dictData.getId());
rStatEventDPO.setEventMeasurement(transientStatisData.get(0));
rStatEventDPO.setEventCount(transientStatisData.get(1));
rStatEventDPO.setDataType(dataTypeMap.get(DicDataEnum.DISTRIBUTION_POINT.getCode()).getId());
if (rStatOrgDPO.getEffectiveMeasurement() == 0) {
rStatEventDPO.setEventMeasurementRatio(1.00f);
} else {
String value = df.format(rStatEventDPO.getEventMeasurement() / rStatOrgDPO.getEffectiveMeasurement());
rStatEventDPO.setEventMeasurementRatio(Float.parseFloat(value));
}
rStatEventDPOList.add(rStatEventDPO);
}
);
});
}
});
if (!CollectionUtils.isEmpty(rStatEventDPOList)) {
rStatEventDPOService.saveOrUpdateBatchByMultiId(rStatEventDPOList, 500);
}
}
//获取监测点类型 1/2/3类字典id
private String getmeasurementType(Integer k, Map<String, DictData> lineSortMap) {
String value = "";
switch (k) {
case 1:
value = lineSortMap.get(DicDataEnum.ONE_LINE.getCode()).getId();
break;
case 2:
value = lineSortMap.get(DicDataEnum.TWO_LINE.getCode()).getId();
break;
case 3:
value = lineSortMap.get(DicDataEnum.THREE_LINE.getCode()).getId();
break;
default:
break;
}
return value;
}
//获取暂态各个类型发生的监测点数量及发生次数
private List<Integer> getTransientStatisData(DictData dictData, List<RMpEventDetailDPO> list) {
List<Integer> result = new ArrayList<>(2);
Integer value = 0;
Integer count = 0;
if (Objects.equals(dictData.getCode(), DicDataEnum.VOLTAGE_DIP.getCode())) {
value = Integer.valueOf(list.stream().filter(temp -> temp.getSagTimes() > 0).count() + "");
count = Integer.valueOf(list.stream().mapToInt(obj -> obj.getSagTimes()).sum() + "");
}
if (Objects.equals(dictData.getCode(), DicDataEnum.VOLTAGE_RISE.getCode())) {
value = Integer.valueOf(list.stream().filter(temp -> temp.getSwellTimes() > 0).count() + "");
count = Integer.valueOf(list.stream().mapToInt(obj -> obj.getSwellTimes()).sum() + "");
}
if (Objects.equals(dictData.getCode(), DicDataEnum.SHORT_INTERRUPTIONS.getCode())) {
value = Integer.valueOf(list.stream().filter(temp -> temp.getInterruptTimes() > 0).count() + "");
count = Integer.valueOf(list.stream().mapToInt(obj -> obj.getInterruptTimes()).sum() + "");
}
result.add(value);
result.add(count);
return result;
}
}

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@@ -0,0 +1,24 @@
package com.njcn.prepare.harmonic.service.mysql.newalgorithm.impl;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.prepare.harmonic.mapper.mysql.newalgorithm.RStatEventDPOMapper;
import com.njcn.prepare.harmonic.mapper.mysql.newalgorithm.RStatEventMPOMapper;
import com.njcn.prepare.harmonic.pojo.po.RStatEventDPO;
import com.njcn.prepare.harmonic.pojo.po.RStatEventMPO;
import com.njcn.prepare.harmonic.service.mysql.newalgorithm.RStatEventDPOService;
import com.njcn.prepare.harmonic.service.mysql.newalgorithm.RStatEventMPOService;
import lombok.RequiredArgsConstructor;
import org.springframework.stereotype.Service;
/**
* <p>
* 终端检测监督
* </p>
*
* @author zbj
* @since 2023-06-08
*/
@Service
@RequiredArgsConstructor
public class RStatEventMPOServiceImpl extends MppServiceImpl<RStatEventMPOMapper, RStatEventMPO> implements RStatEventMPOService {
}

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@@ -0,0 +1,24 @@
package com.njcn.prepare.harmonic.service.mysql.newalgorithm.impl;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.prepare.harmonic.mapper.mysql.newalgorithm.RStatEventMPOMapper;
import com.njcn.prepare.harmonic.mapper.mysql.newalgorithm.RStatEventQPOMapper;
import com.njcn.prepare.harmonic.pojo.po.RStatEventMPO;
import com.njcn.prepare.harmonic.pojo.po.RStatEventQPO;
import com.njcn.prepare.harmonic.service.mysql.newalgorithm.RStatEventMPOService;
import com.njcn.prepare.harmonic.service.mysql.newalgorithm.RStatEventQPOService;
import lombok.RequiredArgsConstructor;
import org.springframework.stereotype.Service;
/**
* <p>
* 终端检测监督
* </p>
*
* @author zbj
* @since 2023-06-09
*/
@Service
@RequiredArgsConstructor
public class RStatEventQPOServiceImpl extends MppServiceImpl<RStatEventQPOMapper, RStatEventQPO> implements RStatEventQPOService {
}

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package com.njcn.prepare.harmonic.service.mysql.newalgorithm.impl;
import cn.hutool.core.date.DateUtil;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.njcn.device.biz.commApi.CommTerminalGeneralClient;
import com.njcn.device.biz.pojo.dto.DeptGetChildrenMoreDTO;
import com.njcn.device.biz.pojo.dto.LineDevGetDTO;
import com.njcn.harmonic.pojo.po.RMpEventDetailDPO;
import com.njcn.harmonic.pojo.po.RMpEventDetailMPO;
import com.njcn.harmonic.pojo.po.RStatOrgDPO;
import com.njcn.harmonic.pojo.po.RStatOrgMPO;
import com.njcn.prepare.harmonic.mapper.mysql.area.RStatOrgDMapper;
import com.njcn.prepare.harmonic.mapper.mysql.area.RStatOrgMMapper;
import com.njcn.prepare.harmonic.mapper.mysql.area.RStatOrgQMapper;
import com.njcn.prepare.harmonic.mapper.mysql.line.RMpEventDetailDMapper;
import com.njcn.prepare.harmonic.mapper.mysql.line.RMpEventDetailMMapper;
import com.njcn.prepare.harmonic.mapper.mysql.newalgorithm.RStatEventDPOMapper;
import com.njcn.prepare.harmonic.mapper.mysql.newalgorithm.RStatEventMPOMapper;
import com.njcn.prepare.harmonic.pojo.po.RStatEventDPO;
import com.njcn.prepare.harmonic.pojo.po.RStatEventMPO;
import com.njcn.prepare.harmonic.pojo.po.RStatEventQPO;
import com.njcn.prepare.harmonic.pojo.po.RStatOrgQPO;
import com.njcn.prepare.harmonic.service.mysql.newalgorithm.RStatEventDPOService;
import com.njcn.prepare.harmonic.service.mysql.newalgorithm.RStatEventMPOService;
import com.njcn.prepare.harmonic.service.mysql.newalgorithm.RStatEventQPOService;
import com.njcn.prepare.harmonic.service.mysql.newalgorithm.RStatEventService;
import com.njcn.system.api.DicDataFeignClient;
import com.njcn.system.enums.DicDataEnum;
import com.njcn.system.enums.DicDataTypeEnum;
import com.njcn.system.pojo.po.DictData;
import com.njcn.user.api.DeptFeignClient;
import lombok.RequiredArgsConstructor;
import org.springframework.stereotype.Service;
import org.springframework.util.CollectionUtils;
import java.text.DecimalFormat;
import java.time.LocalDate;
import java.time.ZoneId;
import java.util.*;
import java.util.function.Function;
import java.util.stream.Collectors;
/**
* <p>
* 终端检测监督
* </p>
*
* @author zbj
* @since 2023-06-06
*/
@Service
@RequiredArgsConstructor
public class RStatEventServiceImpl implements RStatEventService {
private final CommTerminalGeneralClient commTerminalGeneralClient;
private final DeptFeignClient deptFeignClient;
private final DicDataFeignClient dicDataFeignClient;
private final RMpEventDetailDMapper rMpEventDetailDMapper;
private final RMpEventDetailMMapper rMpEventDetailMMapper;
private final RStatEventDPOService rStatEventDPOService;
private final RStatEventMPOService rStatEventMPOService;
private final RStatEventQPOService rStatEventQPOService;
private final RStatEventDPOMapper rStatEventDPOMapper;
private final RStatEventMPOMapper rStatEventMPOMapper;
private final RStatOrgDMapper rStatOrgDMapper;
private final RStatOrgMMapper rStatOrgMMapper;
private final RStatOrgQMapper rStatOrgQMapper;
@Override
public void handler(List<DeptGetChildrenMoreDTO> data, String dataDate, Integer type) {
switch (type) {
case 1:
this.rStartEventYHandler (data, dataDate, type);
break;
case 2:
this.rStartEventQHandler(data, dataDate, type);
break;
case 3:
this.rStartEventMHandler(data, dataDate, type);
break;
case 5:
this.rStartEventDHandler(data, dataDate, type);
break;
default:
break;
}
}
//天表
public void rStartEventDHandler(List<DeptGetChildrenMoreDTO> data, String dataDate, Integer type) {
List<RStatEventDPO> rStatEventDPOList = new ArrayList<>();
DecimalFormat df = new DecimalFormat("0.00");
Date date = DateUtil.parse(dataDate);
LocalDate localDate = date.toInstant().atZone(ZoneId.systemDefault()).toLocalDate();
/*获取暂态统计指标*/
List<DictData> eventStatis = dicDataFeignClient.getDicDataByTypeCode(DicDataTypeEnum.EVENT_STATIS.getCode()).getData();
/*获取数据类型*/
List<DictData> dataTypeList = dicDataFeignClient.getDicDataByTypeCode(DicDataTypeEnum.DATA_TYPE.getCode()).getData();
Map<String, DictData> dataTypeMap = dataTypeList.stream().collect(Collectors.toMap(DictData::getCode, dictData -> dictData));
/*获取监测点类型类型*/
List<DictData> lineSortList = dicDataFeignClient.getDicDataByTypeCode(DicDataTypeEnum.LINE_SORT.getCode()).getData();
Map<String, DictData> lineSortMap = lineSortList.stream().collect(Collectors.toMap(DictData::getCode, dictData -> dictData));
QueryWrapper<RMpEventDetailDPO> rMpEventDetailDPOQueryWrapper = new QueryWrapper<>();
QueryWrapper<RStatOrgDPO> rStatOrgDPOQueryWrapper = new QueryWrapper<>();
data.forEach(deptGetChildrenMoreDTO -> {
/*主网*/
if (!CollectionUtils.isEmpty(deptGetChildrenMoreDTO.getLineBaseList())) {
List<LineDevGetDTO> lineBaseList = deptGetChildrenMoreDTO.getLineBaseList();
Map<Integer, List<LineDevGetDTO>> collect = lineBaseList.stream().collect(Collectors.groupingBy(LineDevGetDTO::getLineType));
collect.forEach((k, v) -> {
List<String> collect1 = v.stream().map(LineDevGetDTO::getPointId).collect(Collectors.toList());
rMpEventDetailDPOQueryWrapper.clear();
rMpEventDetailDPOQueryWrapper.
in("measurement_point_id", collect1).
eq("DATE_FORMAT( data_date ,'%Y-%m-%d')", dataDate);
List<RMpEventDetailDPO> rMpEventDetailDPOS = rMpEventDetailDMapper.selectList(rMpEventDetailDPOQueryWrapper);
rStatOrgDPOQueryWrapper.clear();
rStatOrgDPOQueryWrapper.select("effective_measurement").
eq("org_no", deptGetChildrenMoreDTO.getUnitId()).
eq("measurement_type_class", getmeasurementType(k, lineSortMap)).
eq("data_type", dataTypeMap.get(DicDataEnum.MAINNET_POINT.getCode()).getId()).
eq("DATE_FORMAT( data_date ,'%Y-%m-%d')", dataDate);
RStatOrgDPO rStatOrgDPO = rStatOrgDMapper.selectOne(rStatOrgDPOQueryWrapper);
eventStatis.forEach(dictData -> {
if (Objects.equals(dictData.getCode(), DicDataEnum.DISTURBANCE.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.OTHER.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.RECORDING_WAVE.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.TOTAL_INDICATORS.getCode())) {
return;
}
List<Integer> transientStatisData = getTransientStatisData(dictData, rMpEventDetailDPOS);
RStatEventDPO rStatEventDPO = new RStatEventDPO();
rStatEventDPO.setOrgNo(deptGetChildrenMoreDTO.getUnitId());
rStatEventDPO.setDataDate(localDate);
rStatEventDPO.setMeasurementTypeClass(getmeasurementType(k, lineSortMap));
rStatEventDPO.setEventType(dictData.getId());
rStatEventDPO.setEventMeasurement(transientStatisData.get(0));
rStatEventDPO.setEventCount(transientStatisData.get(1));
rStatEventDPO.setDataType(dataTypeMap.get(DicDataEnum.MAINNET_POINT.getCode()).getId());
if (Objects.isNull(rStatOrgDPO)) {
rStatEventDPO.setEventMeasurementRatio(1.00f);
} else {
if (rStatOrgDPO.getEffectiveMeasurement() == 0) {
rStatEventDPO.setEventMeasurementRatio(1.00f);
} else {
String value = df.format(rStatEventDPO.getEventMeasurement() / rStatOrgDPO.getEffectiveMeasurement());
rStatEventDPO.setEventMeasurementRatio(Float.parseFloat(value));
}
}
rStatEventDPOList.add(rStatEventDPO);
}
);
});
}
/*配网*/
if (!CollectionUtils.isEmpty(deptGetChildrenMoreDTO.getPwMonitorIds())) {
List<LineDevGetDTO> pwMonitorIds = deptGetChildrenMoreDTO.getPwMonitorIds();
Map<Integer, List<LineDevGetDTO>> collect = pwMonitorIds.stream().collect(Collectors.groupingBy(LineDevGetDTO::getLineType));
collect.forEach((k, v) -> {
List<String> collect1 = v.stream().map(LineDevGetDTO::getPointId).collect(Collectors.toList());
rMpEventDetailDPOQueryWrapper.clear();
rMpEventDetailDPOQueryWrapper.
in("measurement_point_id", collect1).
eq("DATE_FORMAT( data_date ,'%Y-%m-%d')", dataDate);
List<RMpEventDetailDPO> rMpEventDetailDPOS = rMpEventDetailDMapper.selectList(rMpEventDetailDPOQueryWrapper);
rStatOrgDPOQueryWrapper.clear();
rStatOrgDPOQueryWrapper.select("effective_measurement").
eq("org_no", deptGetChildrenMoreDTO.getUnitId()).
eq("measurement_type_class", getmeasurementType(k, lineSortMap)).
eq("data_type", dataTypeMap.get(DicDataEnum.DISTRIBUTION_POINT.getCode()).getId()).
eq("DATE_FORMAT( data_date ,'%Y-%m-%d')", dataDate);
RStatOrgDPO rStatOrgDPO = rStatOrgDMapper.selectOne(rStatOrgDPOQueryWrapper);
eventStatis.forEach(dictData -> {
if (Objects.equals(dictData.getCode(), DicDataEnum.DISTURBANCE.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.OTHER.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.RECORDING_WAVE.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.TOTAL_INDICATORS.getCode())) {
return;
}
List<Integer> transientStatisData = getTransientStatisData(dictData, rMpEventDetailDPOS);
RStatEventDPO rStatEventDPO = new RStatEventDPO();
rStatEventDPO.setOrgNo(deptGetChildrenMoreDTO.getUnitId());
rStatEventDPO.setDataDate(localDate);
rStatEventDPO.setMeasurementTypeClass(getmeasurementType(k, lineSortMap));
rStatEventDPO.setEventType(dictData.getId());
rStatEventDPO.setEventMeasurement(transientStatisData.get(0));
rStatEventDPO.setEventCount(transientStatisData.get(1));
rStatEventDPO.setDataType(dataTypeMap.get(DicDataEnum.DISTRIBUTION_POINT.getCode()).getId());
if (Objects.isNull(rStatOrgDPO)) {
rStatEventDPO.setEventMeasurementRatio(1.00f);
} else {
if (rStatOrgDPO.getEffectiveMeasurement() == 0) {
rStatEventDPO.setEventMeasurementRatio(1.00f);
} else {
String value = df.format(rStatEventDPO.getEventMeasurement() / rStatOrgDPO.getEffectiveMeasurement());
rStatEventDPO.setEventMeasurementRatio(Float.parseFloat(value));
}
}
rStatEventDPOList.add(rStatEventDPO);
}
);
});
}
});
if (!CollectionUtils.isEmpty(rStatEventDPOList)) {
rStatEventDPOService.saveOrUpdateBatchByMultiId(rStatEventDPOList, 500);
}
}
//月表
public void rStartEventMHandler(List<DeptGetChildrenMoreDTO> data, String dataDate, Integer type) {
List<RStatEventMPO> rStatEventMPOList = new ArrayList<>();
DecimalFormat df = new DecimalFormat("0.00");
Date date = DateUtil.parse(dataDate);
LocalDate localDate = date.toInstant().atZone(ZoneId.systemDefault()).toLocalDate();
/*获取暂态统计指标*/
List<DictData> eventStatis = dicDataFeignClient.getDicDataByTypeCode(DicDataTypeEnum.EVENT_STATIS.getCode()).getData();
/*获取数据类型*/
List<DictData> dataTypeList = dicDataFeignClient.getDicDataByTypeCode(DicDataTypeEnum.DATA_TYPE.getCode()).getData();
Map<String, DictData> dataTypeMap = dataTypeList.stream().collect(Collectors.toMap(DictData::getCode, dictData -> dictData));
/*获取监测点类型类型*/
List<DictData> lineSortList = dicDataFeignClient.getDicDataByTypeCode(DicDataTypeEnum.LINE_SORT.getCode()).getData();
Map<String, DictData> lineSortMap = lineSortList.stream().collect(Collectors.toMap(DictData::getCode, dictData -> dictData));
//详情表
QueryWrapper<RMpEventDetailMPO> rMpEventDetailMPOQueryWrapper = new QueryWrapper<>();
//org表
QueryWrapper<RStatOrgMPO> rStatOrgMPOQueryWrapper = new QueryWrapper<>();
//天表
QueryWrapper<RStatEventDPO> rStatEventDPOQueryWrapper = new QueryWrapper<>();
data.forEach(deptGetChildrenMoreDTO -> {
/*主网*/
if (!CollectionUtils.isEmpty(deptGetChildrenMoreDTO.getLineBaseList())) {
List<LineDevGetDTO> lineBaseList = deptGetChildrenMoreDTO.getLineBaseList();
Map<Integer, List<LineDevGetDTO>> collect = lineBaseList.stream().collect(Collectors.groupingBy(LineDevGetDTO::getLineType));
collect.forEach((k, v) -> {
List<String> collect1 = v.stream().map(LineDevGetDTO::getPointId).collect(Collectors.toList());
rMpEventDetailMPOQueryWrapper.clear();
rMpEventDetailMPOQueryWrapper.
in("measurement_point_id", collect1).
eq("DATE_FORMAT( data_date ,'%Y-%m')", dataDate.substring(0, 7));
List<RMpEventDetailMPO> rMpEventDetailMPOS = rMpEventDetailMMapper.selectList(rMpEventDetailMPOQueryWrapper);
rStatOrgMPOQueryWrapper.clear();
rStatOrgMPOQueryWrapper.select("effective_measurement_accrued").
eq("org_no", deptGetChildrenMoreDTO.getUnitId()).
eq("measurement_type_class", getmeasurementType(k, lineSortMap)).
eq("data_type", dataTypeMap.get(DicDataEnum.MAINNET_POINT.getCode()).getId()).
eq("DATE_FORMAT( data_date ,'%Y-%m')", dataDate.substring(0, 7));
RStatOrgMPO rStatOrgMPO = rStatOrgMMapper.selectOne(rStatOrgMPOQueryWrapper);
//天表
rStatEventDPOQueryWrapper.clear();
rStatEventDPOQueryWrapper.
eq("org_no", deptGetChildrenMoreDTO.getUnitId()).
eq("DATE_FORMAT( data_date ,'%Y-%m')", dataDate.substring(0, 7)).
eq("measurement_type_class", getmeasurementType(k, lineSortMap)).
eq("data_type", dataTypeMap.get(DicDataEnum.MAINNET_POINT.getCode()).getId());
List<RStatEventDPO> rStatEventDPO = rStatEventDPOMapper.selectList(rStatEventDPOQueryWrapper);
//求各个类型的平均值
Map<String, Double> avgEM = rStatEventDPO.stream()
.collect(Collectors.groupingBy(RStatEventDPO::getEventType, Collectors.averagingInt(RStatEventDPO::getEventMeasurement)));
//event_measurement的和
Map<String, Integer> sumEM = rStatEventDPO.stream()
.collect(Collectors.groupingBy(RStatEventDPO::getEventType, Collectors.summingInt(RStatEventDPO::getEventMeasurement)));
//event_count
Map<String, Integer> sumEC = rStatEventDPO.stream()
.collect(Collectors.groupingBy(RStatEventDPO::getEventType, Collectors.summingInt(RStatEventDPO::getEventCount)));
//event_measurement_ratio
Map<String, Double> avgEMR = rStatEventDPO.stream()
.collect(Collectors.groupingBy(RStatEventDPO::getEventType, Collectors.averagingDouble(RStatEventDPO::getEventMeasurementRatio)));
eventStatis.forEach(dictData -> {
if (Objects.equals(dictData.getCode(), DicDataEnum.DISTURBANCE.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.OTHER.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.RECORDING_WAVE.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.TOTAL_INDICATORS.getCode())) {
return;
}
//累计发生暂态监测点数
Integer statisData = getStatisData(dictData, rMpEventDetailMPOS);
RStatEventMPO rStatEventMPO = new RStatEventMPO();
rStatEventMPO.setOrgNo(deptGetChildrenMoreDTO.getUnitId());
rStatEventMPO.setDataDate(localDate);
rStatEventMPO.setMeasurementTypeClass(getmeasurementType(k, lineSortMap));
rStatEventMPO.setEventType(dictData.getId());
rStatEventMPO.setEventMeasurementAverage(Float.parseFloat(df.format(avgEM.get(dictData.getId()))));
rStatEventMPO.setEventMeasurementAccrued(statisData);
rStatEventMPO.setEventCount(sumEC.get(dictData.getId()));
rStatEventMPO.setEventMeasurementRatioAverage(Float.parseFloat(df.format(avgEMR.get(dictData.getId()))));
rStatEventMPO.setDataType(dataTypeMap.get(DicDataEnum.MAINNET_POINT.getCode()).getId());
if (sumEM.get(dictData.getId()) == 0) {
rStatEventMPO.setEventFreq(1.00f);
} else {
String value = df.format(sumEC.get(dictData.getId()) / sumEM.get(dictData.getId()));
rStatEventMPO.setEventFreq(Float.parseFloat(value));
}
if (Objects.isNull(rStatOrgMPO)) {
rStatEventMPO.setEventMeasurementRatioAccrued(1.00f);
} else {
if (rStatOrgMPO.getEffectiveMeasurementAccrued() == 0) {
rStatEventMPO.setEventMeasurementRatioAccrued(1.00f);
} else {
String value = df.format(statisData / rStatOrgMPO.getEffectiveMeasurementAccrued());
rStatEventMPO.setEventMeasurementRatioAccrued(Float.parseFloat(value));
}
}
rStatEventMPOList.add(rStatEventMPO);
});
});
}
/*配网*/
if (!CollectionUtils.isEmpty(deptGetChildrenMoreDTO.getPwMonitorIds())) {
List<LineDevGetDTO> pwMonitorIds = deptGetChildrenMoreDTO.getPwMonitorIds();
Map<Integer, List<LineDevGetDTO>> collect = pwMonitorIds.stream().collect(Collectors.groupingBy(LineDevGetDTO::getLineType));
collect.forEach((k, v) -> {
List<String> collect1 = v.stream().map(LineDevGetDTO::getPointId).collect(Collectors.toList());
rMpEventDetailMPOQueryWrapper.clear();
rMpEventDetailMPOQueryWrapper.
in("measurement_point_id", collect1).
eq("DATE_FORMAT( data_date ,'%Y-%m')", dataDate.substring(0, 7));
List<RMpEventDetailMPO> rMpEventDetailMPOS = rMpEventDetailMMapper.selectList(rMpEventDetailMPOQueryWrapper);
rStatOrgMPOQueryWrapper.clear();
rStatOrgMPOQueryWrapper.select("effective_measurement_accrued").
eq("org_no", deptGetChildrenMoreDTO.getUnitId()).
eq("measurement_type_class", getmeasurementType(k, lineSortMap)).
eq("data_type", dataTypeMap.get(DicDataEnum.DISTRIBUTION_POINT.getCode()).getId()).
eq("DATE_FORMAT( data_date ,'%Y-%m')", dataDate.substring(0, 7));
RStatOrgMPO rStatOrgMPO = rStatOrgMMapper.selectOne(rStatOrgMPOQueryWrapper);
//天表
rStatEventDPOQueryWrapper.clear();
rStatEventDPOQueryWrapper.
eq("org_no", deptGetChildrenMoreDTO.getUnitId()).
eq("DATE_FORMAT( data_date ,'%Y-%m')", dataDate.substring(0, 7)).
eq("measurement_type_class", getmeasurementType(k, lineSortMap)).
eq("data_type", dataTypeMap.get(DicDataEnum.DISTRIBUTION_POINT.getCode()).getId());
List<RStatEventDPO> rStatEventDPO = rStatEventDPOMapper.selectList(rStatEventDPOQueryWrapper);
//求各个类型的平均值
Map<String, Double> avgEM = rStatEventDPO.stream()
.collect(Collectors.groupingBy(RStatEventDPO::getEventType, Collectors.averagingInt(RStatEventDPO::getEventMeasurement)));
//event_measurement的和
Map<String, Integer> sumEM = rStatEventDPO.stream()
.collect(Collectors.groupingBy(RStatEventDPO::getEventType, Collectors.summingInt(RStatEventDPO::getEventMeasurement)));
//event_count
Map<String, Integer> sumEC = rStatEventDPO.stream()
.collect(Collectors.groupingBy(RStatEventDPO::getEventType, Collectors.summingInt(RStatEventDPO::getEventCount)));
//event_measurement_ratio
Map<String, Double> avgEMR = rStatEventDPO.stream()
.collect(Collectors.groupingBy(RStatEventDPO::getEventType, Collectors.averagingDouble(RStatEventDPO::getEventMeasurementRatio)));
eventStatis.forEach(dictData -> {
if (Objects.equals(dictData.getCode(), DicDataEnum.DISTURBANCE.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.OTHER.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.RECORDING_WAVE.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.TOTAL_INDICATORS.getCode())) {
return;
}
//累计发生暂态监测点数
Integer statisData = getStatisData(dictData, rMpEventDetailMPOS);
RStatEventMPO rStatEventMPO = new RStatEventMPO();
rStatEventMPO.setOrgNo(deptGetChildrenMoreDTO.getUnitId());
rStatEventMPO.setDataDate(localDate);
rStatEventMPO.setMeasurementTypeClass(getmeasurementType(k, lineSortMap));
rStatEventMPO.setEventType(dictData.getId());
rStatEventMPO.setEventMeasurementAverage(Float.parseFloat(df.format(avgEM.get(dictData.getId()))));
rStatEventMPO.setEventMeasurementAccrued(statisData);
rStatEventMPO.setEventCount(sumEC.get(dictData.getId()));
rStatEventMPO.setEventMeasurementRatioAverage(Float.parseFloat(df.format(avgEMR.get(dictData.getId()))));
rStatEventMPO.setDataType(dataTypeMap.get(DicDataEnum.DISTRIBUTION_POINT.getCode()).getId());
if (sumEM.get(dictData.getId()) == 0) {
rStatEventMPO.setEventFreq(1.00f);
} else {
String value = df.format(sumEC.get(dictData.getId()) / sumEM.get(dictData.getId()));
rStatEventMPO.setEventFreq(Float.parseFloat(value));
}
if (Objects.isNull(rStatOrgMPO)) {
rStatEventMPO.setEventMeasurementRatioAccrued(1.00f);
} else {
if (rStatOrgMPO.getEffectiveMeasurementAccrued() == 0) {
rStatEventMPO.setEventMeasurementRatioAccrued(1.00f);
} else {
String value = df.format(statisData / rStatOrgMPO.getEffectiveMeasurementAccrued());
rStatEventMPO.setEventMeasurementRatioAccrued(Float.parseFloat(value));
}
}
rStatEventMPOList.add(rStatEventMPO);
});
});
}
});
if (!CollectionUtils.isEmpty(rStatEventMPOList)) {
rStatEventMPOService.saveOrUpdateBatchByMultiId(rStatEventMPOList, 500);
}
}
//季表
public void rStartEventQHandler(List<DeptGetChildrenMoreDTO> data, String dataDate, Integer type) {
List<RStatEventQPO> rStatEventQPOList = new ArrayList<>();
DecimalFormat df = new DecimalFormat("0.00");
Date date = DateUtil.parse(dataDate);
LocalDate localDate = date.toInstant().atZone(ZoneId.systemDefault()).toLocalDate();
// 计算季度的开始日期和结束日期
Calendar calendar = Calendar.getInstance();
calendar.setTime(date);
int quarter = (calendar.get(Calendar.MONTH) / 3) + 1; // 计算日期所在的季度
calendar.set(Calendar.MONTH, (quarter - 1) * 3); // 设置季度开始的月份
calendar.set(Calendar.DAY_OF_MONTH, 1); // 设置季度开始的日期
Date startDate = calendar.getTime(); // 季度开始日期
calendar.add(Calendar.MONTH, 2); // 添加两个月,使其到季度结束的月份
calendar.set(Calendar.DAY_OF_MONTH, calendar.getActualMaximum(Calendar.DAY_OF_MONTH)); // 设置季度结束的日期 - 月份最后一天
Date endDate = calendar.getTime(); // 季度结束日期
/*获取暂态统计指标*/
List<DictData> eventStatis = dicDataFeignClient.getDicDataByTypeCode(DicDataTypeEnum.EVENT_STATIS.getCode()).getData();
/*获取数据类型*/
List<DictData> dataTypeList = dicDataFeignClient.getDicDataByTypeCode(DicDataTypeEnum.DATA_TYPE.getCode()).getData();
Map<String, DictData> dataTypeMap = dataTypeList.stream().collect(Collectors.toMap(DictData::getCode, dictData -> dictData));
/*获取监测点类型类型*/
List<DictData> lineSortList = dicDataFeignClient.getDicDataByTypeCode(DicDataTypeEnum.LINE_SORT.getCode()).getData();
Map<String, DictData> lineSortMap = lineSortList.stream().collect(Collectors.toMap(DictData::getCode, dictData -> dictData));
//详情表
QueryWrapper<RMpEventDetailMPO> rMpEventDetailMPOQueryWrapper = new QueryWrapper<>();
//org季表
QueryWrapper<RStatOrgQPO> rStatOrgQPOQueryWrapper = new QueryWrapper<>();
//天表
QueryWrapper<RStatEventDPO> rStatEventDPOQueryWrapper = new QueryWrapper<>();
//月表
QueryWrapper<RStatEventMPO> rStatEventMPOQueryWrapper = new QueryWrapper<>();
data.forEach(deptGetChildrenMoreDTO -> {
/*主网*/
if (!CollectionUtils.isEmpty(deptGetChildrenMoreDTO.getLineBaseList())) {
List<LineDevGetDTO> lineBaseList = deptGetChildrenMoreDTO.getLineBaseList();
Map<Integer, List<LineDevGetDTO>> collect = lineBaseList.stream().collect(Collectors.groupingBy(LineDevGetDTO::getLineType));
collect.forEach((k, v) -> {
List<String> collect1 = v.stream().map(LineDevGetDTO::getPointId).collect(Collectors.toList());
rMpEventDetailMPOQueryWrapper.clear();
rMpEventDetailMPOQueryWrapper.
in("measurement_point_id", collect1).
between("data_date", startDate, endDate);
List<RMpEventDetailMPO> rMpEventDetailMPOS = rMpEventDetailMMapper.selectList(rMpEventDetailMPOQueryWrapper);
//季表
rStatOrgQPOQueryWrapper.clear();
rStatOrgQPOQueryWrapper.select("effective_measurement_accrued").
eq("org_no", deptGetChildrenMoreDTO.getUnitId()).
eq("measurement_type_class", getmeasurementType(k, lineSortMap)).
eq("data_type", dataTypeMap.get(DicDataEnum.MAINNET_POINT.getCode()).getId()).
between("data_date", startDate, endDate);
;
RStatOrgQPO rStatOrgQPO = rStatOrgQMapper.selectOne(rStatOrgQPOQueryWrapper);
//天表
rStatEventDPOQueryWrapper.clear();
rStatEventDPOQueryWrapper.
eq("org_no", deptGetChildrenMoreDTO.getUnitId()).
between("data_date", startDate, endDate).
eq("measurement_type_class", getmeasurementType(k, lineSortMap)).
eq("data_type", dataTypeMap.get(DicDataEnum.MAINNET_POINT.getCode()).getId());
List<RStatEventDPO> rStatEventDPO = rStatEventDPOMapper.selectList(rStatEventDPOQueryWrapper);
//月表
rStatEventMPOQueryWrapper.clear();
rStatEventMPOQueryWrapper.
eq("org_no", deptGetChildrenMoreDTO.getUnitId()).
between("data_date", startDate, endDate).
eq("measurement_type_class", getmeasurementType(k, lineSortMap)).
eq("data_type", dataTypeMap.get(DicDataEnum.MAINNET_POINT.getCode()).getId());
List<RStatEventMPO> rStatEventMPO = rStatEventMPOMapper.selectList(rStatEventMPOQueryWrapper);
//求各个类型的平均值(月表)
Map<String, Double> avgEMM = rStatEventMPO.stream()
.collect(Collectors.groupingBy(RStatEventMPO::getEventType, Collectors.averagingDouble(RStatEventMPO::getEventMeasurementAverage)));
//event_measurement的和
Map<String, Integer> sumEM = rStatEventDPO.stream()
.collect(Collectors.groupingBy(RStatEventDPO::getEventType, Collectors.summingInt(RStatEventDPO::getEventMeasurement)));
//event_count天表
Map<String, Integer> sumEC = rStatEventDPO.stream()
.collect(Collectors.groupingBy(RStatEventDPO::getEventType, Collectors.summingInt(RStatEventDPO::getEventCount)));
//event_count月表
Map<String, Integer> sumECM = rStatEventMPO.stream()
.collect(Collectors.groupingBy(RStatEventMPO::getEventType, Collectors.summingInt(RStatEventMPO::getEventCount)));
//event_measurement_ratio_average月表
Map<String, Double> avgEMRM = rStatEventMPO.stream()
.collect(Collectors.groupingBy(RStatEventMPO::getEventType, Collectors.averagingDouble(RStatEventMPO::getEventMeasurementRatioAverage)));
eventStatis.forEach(dictData -> {
if (Objects.equals(dictData.getCode(), DicDataEnum.DISTURBANCE.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.OTHER.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.RECORDING_WAVE.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.TOTAL_INDICATORS.getCode())) {
return;
}
//累计发生暂态监测点数
Integer statisData = getStatisQData(dictData, rMpEventDetailMPOS);
RStatEventQPO rStatEventQPO = new RStatEventQPO();
rStatEventQPO.setOrgNo(deptGetChildrenMoreDTO.getUnitId());
rStatEventQPO.setDataDate(localDate);
rStatEventQPO.setMeasurementTypeClass(getmeasurementType(k, lineSortMap));
rStatEventQPO.setEventType(dictData.getId());
rStatEventQPO.setEventMeasurementAverage(Float.parseFloat(df.format(avgEMM.get(dictData.getId()))));
// todo
rStatEventQPO.setEventMeasurementAccrued(statisData);
rStatEventQPO.setEventCount(sumECM.get(dictData.getId()));
rStatEventQPO.setEventMeasurementRatioAverage(Float.parseFloat(df.format(avgEMRM.get(dictData.getId()))));
rStatEventQPO.setDataType(dataTypeMap.get(DicDataEnum.MAINNET_POINT.getCode()).getId());
if (sumEM.get(dictData.getId()) == 0) {
rStatEventQPO.setEventFreq(1.00f);
} else {
String value = df.format(sumEC.get(dictData.getId()) / sumEM.get(dictData.getId()));
rStatEventQPO.setEventFreq(Float.parseFloat(value));
}
if (Objects.isNull(rStatOrgQPO)) {
rStatEventQPO.setEventMeasurementRatioAccrued(1.00f);
} else {
if (rStatOrgQPO.getEffectiveMeasurementAccrued() == 0) {
rStatEventQPO.setEventMeasurementRatioAccrued(1.00f);
} else {
String value = df.format(statisData / rStatOrgQPO.getEffectiveMeasurementAccrued());
rStatEventQPO.setEventMeasurementRatioAccrued(Float.parseFloat(value));
}
}
rStatEventQPOList.add(rStatEventQPO);
});
});
}
/*配网*/
if (!CollectionUtils.isEmpty(deptGetChildrenMoreDTO.getPwMonitorIds())) {
List<LineDevGetDTO> pwMonitorIds = deptGetChildrenMoreDTO.getPwMonitorIds();
Map<Integer, List<LineDevGetDTO>> collect = pwMonitorIds.stream().collect(Collectors.groupingBy(LineDevGetDTO::getLineType));
collect.forEach((k, v) -> {
List<String> collect1 = v.stream().map(LineDevGetDTO::getPointId).collect(Collectors.toList());
rMpEventDetailMPOQueryWrapper.clear();
rMpEventDetailMPOQueryWrapper.
in("measurement_point_id", collect1).
between("data_date", startDate, endDate);
List<RMpEventDetailMPO> rMpEventDetailMPOS = rMpEventDetailMMapper.selectList(rMpEventDetailMPOQueryWrapper);
//季表
rStatOrgQPOQueryWrapper.clear();
rStatOrgQPOQueryWrapper.select("effective_measurement_accrued").
eq("org_no", deptGetChildrenMoreDTO.getUnitId()).
eq("measurement_type_class", getmeasurementType(k, lineSortMap)).
eq("data_type", dataTypeMap.get(DicDataEnum.DISTRIBUTION_POINT.getCode()).getId()).
between("data_date", startDate, endDate);
;
RStatOrgQPO rStatOrgQPO = rStatOrgQMapper.selectOne(rStatOrgQPOQueryWrapper);
//天表
rStatEventDPOQueryWrapper.clear();
rStatEventDPOQueryWrapper.
in("measurement_point_id", collect1).
between("data_date", startDate, endDate).
eq("measurement_type_class", getmeasurementType(k, lineSortMap)).
eq("data_type", dataTypeMap.get(DicDataEnum.DISTRIBUTION_POINT.getCode()).getId());
List<RStatEventDPO> rStatEventDPO = rStatEventDPOMapper.selectList(rStatEventDPOQueryWrapper);
//月表
rStatEventMPOQueryWrapper.clear();
rStatEventMPOQueryWrapper.
in("measurement_point_id", collect1).
between("data_date", startDate, endDate).
eq("measurement_type_class", getmeasurementType(k, lineSortMap)).
eq("data_type", dataTypeMap.get(DicDataEnum.DISTRIBUTION_POINT.getCode()).getId());
List<RStatEventMPO> rStatEventMPO = rStatEventMPOMapper.selectList(rStatEventMPOQueryWrapper);
//求各个类型的平均值(月表)
Map<String, Double> avgEMM = rStatEventMPO.stream()
.collect(Collectors.groupingBy(RStatEventMPO::getEventType, Collectors.averagingDouble(RStatEventMPO::getEventMeasurementAverage)));
//event_measurement的和
Map<String, Integer> sumEM = rStatEventDPO.stream()
.collect(Collectors.groupingBy(RStatEventDPO::getEventType, Collectors.summingInt(RStatEventDPO::getEventMeasurement)));
//event_count天表
Map<String, Integer> sumEC = rStatEventDPO.stream()
.collect(Collectors.groupingBy(RStatEventDPO::getEventType, Collectors.summingInt(RStatEventDPO::getEventCount)));
//event_count月表
Map<String, Integer> sumECM = rStatEventMPO.stream()
.collect(Collectors.groupingBy(RStatEventMPO::getEventType, Collectors.summingInt(RStatEventMPO::getEventCount)));
//event_measurement_ratio_average月表
Map<String, Double> avgEMRM = rStatEventMPO.stream()
.collect(Collectors.groupingBy(RStatEventMPO::getEventType, Collectors.averagingDouble(RStatEventMPO::getEventMeasurementRatioAverage)));
eventStatis.forEach(dictData -> {
if (Objects.equals(dictData.getCode(), DicDataEnum.DISTURBANCE.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.OTHER.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.RECORDING_WAVE.getCode())
|| Objects.equals(dictData.getCode(), DicDataEnum.TOTAL_INDICATORS.getCode())) {
return;
}
//累计发生暂态监测点数
Integer statisData = getStatisQData(dictData, rMpEventDetailMPOS);
RStatEventQPO rStatEventQPO = new RStatEventQPO();
rStatEventQPO.setOrgNo(deptGetChildrenMoreDTO.getUnitId());
rStatEventQPO.setDataDate(localDate);
rStatEventQPO.setMeasurementTypeClass(getmeasurementType(k, lineSortMap));
rStatEventQPO.setEventType(dictData.getId());
rStatEventQPO.setEventMeasurementAverage(Float.parseFloat(df.format(avgEMM.get(dictData.getId()))));
// todo
rStatEventQPO.setEventMeasurementAccrued(statisData);
rStatEventQPO.setEventCount(sumECM.get(dictData.getId()));
rStatEventQPO.setEventMeasurementRatioAverage(Float.parseFloat(df.format(avgEMRM.get(dictData.getId()))));
rStatEventQPO.setDataType(dataTypeMap.get(DicDataEnum.DISTRIBUTION_POINT.getCode()).getId());
if (sumEM.get(dictData.getId()) == 0) {
rStatEventQPO.setEventFreq(1.00f);
} else {
String value = df.format(sumEC.get(dictData.getId()) / sumEM.get(dictData.getId()));
rStatEventQPO.setEventFreq(Float.parseFloat(value));
}
if (Objects.isNull(rStatOrgQPO)) {
rStatEventQPO.setEventMeasurementRatioAccrued(1.00f);
} else {
if (rStatOrgQPO.getEffectiveMeasurementAccrued() == 0) {
rStatEventQPO.setEventMeasurementRatioAccrued(1.00f);
} else {
String value = df.format(statisData / rStatOrgQPO.getEffectiveMeasurementAccrued());
rStatEventQPO.setEventMeasurementRatioAccrued(Float.parseFloat(value));
}
}
rStatEventQPOList.add(rStatEventQPO);
});
});
}
});
if (!CollectionUtils.isEmpty(rStatEventQPOList)) {
rStatEventQPOService.saveOrUpdateBatchByMultiId(rStatEventQPOList, 500);
}
}
//年表
public void rStartEventYHandler(List<DeptGetChildrenMoreDTO> data, String dataDate, Integer type) {
List<RStatEventDPO> rStatEventDPOList = new ArrayList<>();
DecimalFormat df = new DecimalFormat("0.00");
Date date = DateUtil.parse(dataDate);
LocalDate localDate = date.toInstant().atZone(ZoneId.systemDefault()).toLocalDate();
/*获取暂态统计指标*/
List<DictData> eventStatis = dicDataFeignClient.getDicDataByTypeCode(DicDataTypeEnum.EVENT_STATIS.getCode()).getData();
/*获取数据类型*/
List<DictData> dataTypeList = dicDataFeignClient.getDicDataByTypeCode(DicDataTypeEnum.DATA_TYPE.getCode()).getData();
Map<String, DictData> dataTypeMap = dataTypeList.stream().collect(Collectors.toMap(DictData::getCode, dictData -> dictData));
/*获取监测点类型类型*/
List<DictData> lineSortList = dicDataFeignClient.getDicDataByTypeCode(DicDataTypeEnum.LINE_SORT.getCode()).getData();
Map<String, DictData> lineSortMap = lineSortList.stream().collect(Collectors.toMap(DictData::getCode, dictData -> dictData));
QueryWrapper<RMpEventDetailDPO> rMpEventDetailDPOQueryWrapper = new QueryWrapper<>();
QueryWrapper<RStatOrgDPO> rStatOrgDPOQueryWrapper = new QueryWrapper<>();
data.forEach(deptGetChildrenMoreDTO -> {
/*主网*/
if (!CollectionUtils.isEmpty(deptGetChildrenMoreDTO.getLineBaseList())) {
List<LineDevGetDTO> lineBaseList = deptGetChildrenMoreDTO.getLineBaseList();
Map<Integer, List<LineDevGetDTO>> collect = lineBaseList.stream().collect(Collectors.groupingBy(LineDevGetDTO::getLineType));
collect.forEach((k, v) -> {
List<String> collect1 = v.stream().map(LineDevGetDTO::getPointId).collect(Collectors.toList());
});
}
/*配网*/
if (!CollectionUtils.isEmpty(deptGetChildrenMoreDTO.getPwMonitorIds())) {
List<LineDevGetDTO> pwMonitorIds = deptGetChildrenMoreDTO.getPwMonitorIds();
Map<Integer, List<LineDevGetDTO>> collect = pwMonitorIds.stream().collect(Collectors.groupingBy(LineDevGetDTO::getLineType));
collect.forEach((k, v) -> {
List<String> collect1 = v.stream().map(LineDevGetDTO::getPointId).collect(Collectors.toList());
});
}
});
if (!CollectionUtils.isEmpty(rStatEventDPOList)) {
rStatEventDPOService.saveOrUpdateBatchByMultiId(rStatEventDPOList, 500);
}
}
//获取监测点类型 1/2/3类字典id
private String getmeasurementType(Integer k, Map<String, DictData> lineSortMap) {
String value = "";
switch (k) {
case 1:
value = lineSortMap.get(DicDataEnum.ONE_LINE.getCode()).getId();
break;
case 2:
value = lineSortMap.get(DicDataEnum.TWO_LINE.getCode()).getId();
break;
case 3:
value = lineSortMap.get(DicDataEnum.THREE_LINE.getCode()).getId();
break;
default:
break;
}
return value;
}
//获取暂态各个类型发生的监测点数量及发生次数
private List<Integer> getTransientStatisData(DictData dictData, List<RMpEventDetailDPO> list) {
List<Integer> result = new ArrayList<>(2);
Integer value = 0;
Integer count = 0;
if (Objects.equals(dictData.getCode(), DicDataEnum.VOLTAGE_DIP.getCode())) {
value = Integer.valueOf(list.stream().filter(temp -> temp.getSagTimes() > 0).count() + "");
count = Integer.valueOf(list.stream().mapToInt(RMpEventDetailDPO::getSagTimes).sum() + "");
}
if (Objects.equals(dictData.getCode(), DicDataEnum.VOLTAGE_RISE.getCode())) {
value = Integer.valueOf(list.stream().filter(temp -> temp.getSwellTimes() > 0).count() + "");
count = Integer.valueOf(list.stream().mapToInt(RMpEventDetailDPO::getSwellTimes).sum() + "");
}
if (Objects.equals(dictData.getCode(), DicDataEnum.SHORT_INTERRUPTIONS.getCode())) {
value = Integer.valueOf(list.stream().filter(temp -> temp.getInterruptTimes() > 0).count() + "");
count = Integer.valueOf(list.stream().mapToInt(RMpEventDetailDPO::getInterruptTimes).sum() + "");
}
result.add(value);
result.add(count);
return result;
}
//获取暂态各个类型发生的监测点数量
private Integer getStatisData(DictData dictData, List<RMpEventDetailMPO> list) {
Integer value = 0;
if (Objects.equals(dictData.getCode(), DicDataEnum.VOLTAGE_DIP.getCode())) {
value = Integer.valueOf(list.stream().filter(temp -> temp.getSagTimes() > 0).count() + "");
}
if (Objects.equals(dictData.getCode(), DicDataEnum.VOLTAGE_RISE.getCode())) {
value = Integer.valueOf(list.stream().filter(temp -> temp.getSwellTimes() > 0).count() + "");
}
if (Objects.equals(dictData.getCode(), DicDataEnum.SHORT_INTERRUPTIONS.getCode())) {
value = Integer.valueOf(list.stream().filter(temp -> temp.getInterruptTimes() > 0).count() + "");
}
return value;
}
//季表月表相同id去重
private Integer getStatisQData(DictData dictData, List<RMpEventDetailMPO> list) {
Integer value = 0;
if (Objects.equals(dictData.getCode(), DicDataEnum.VOLTAGE_DIP.getCode())) {
Map<String, RMpEventDetailMPO> idToObjectMap = list.stream()
.filter(obj -> obj.getSagTimes() > 0) // 筛选count大于0的对象
.collect(Collectors.toMap(RMpEventDetailMPO::getMeasurementPointId, Function.identity(),
(existing, replacement) -> existing.getSagTimes() > 0 ? existing : replacement)); // 对id去重仅保留计数大于0的对象
for (RMpEventDetailMPO obj : idToObjectMap.values()) {
value += (obj.getSagTimes() > 0 ? 1 : 0);
}
}
if (Objects.equals(dictData.getCode(), DicDataEnum.VOLTAGE_RISE.getCode())) {
Map<String, RMpEventDetailMPO> idToObjectMap = list.stream()
.filter(obj -> obj.getSwellTimes() > 0) // 筛选count大于0的对象
.collect(Collectors.toMap(RMpEventDetailMPO::getMeasurementPointId, Function.identity(),
(existing, replacement) -> existing.getSwellTimes() > 0 ? existing : replacement)); // 对id去重仅保留计数大于0的对象
for (RMpEventDetailMPO obj : idToObjectMap.values()) {
value += (obj.getSwellTimes() > 0 ? 1 : 0);
}
}
if (Objects.equals(dictData.getCode(), DicDataEnum.SHORT_INTERRUPTIONS.getCode())) {
Map<String, RMpEventDetailMPO> idToObjectMap = list.stream()
.filter(obj -> obj.getInterruptTimes() > 0) // 筛选count大于0的对象
.collect(Collectors.toMap(RMpEventDetailMPO::getMeasurementPointId, Function.identity(),
(existing, replacement) -> existing.getInterruptTimes() > 0 ? existing : replacement)); // 对id去重仅保留计数大于0的对象
for (RMpEventDetailMPO obj : idToObjectMap.values()) {
value += (obj.getInterruptTimes() > 0 ? 1 : 0);
}
}
return value;
}
}