1.分布式光伏遥测数据接口新增

This commit is contained in:
wr
2024-06-20 09:44:42 +08:00
parent e1b216fbdc
commit 6c8d5d3ff7
16 changed files with 605 additions and 102 deletions

View File

@@ -8,12 +8,14 @@ import com.alibaba.excel.EasyExcel;
import com.njcn.jbsyncdata.pojo.*;
import com.njcn.jbsyncdata.service.DisPhotovoltaicService;
import com.njcn.jbsyncdata.service.IBusinessService;
import com.njcn.jbsyncdata.util.RestTemplateUtil;
import com.njcn.jbsyncdata.util.StreamUtil;
import io.swagger.annotations.Api;
import io.swagger.annotations.ApiOperation;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.springframework.http.MediaType;
import org.springframework.http.ResponseEntity;
import org.springframework.scheduling.annotation.Scheduled;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
@@ -112,6 +114,45 @@ public class DisPhotovoltaicController {
}
}
/**
* @param date yyyy-MM-dd
*/
@ApiOperation(value = "查询指定日期所有台区用户的谐波遥测数据")
@PostMapping("/queryTelemetryAreaEmsData")
public void queryTelemetryAreaEmsData(String date) {
try {
businessService.queryTelemetryInterfaceAreaData(date);
} catch (Exception exception) {
exception.printStackTrace();
}
}
/**
* @param startTime 起始时间 yyyy-MM-dd
* @param endTime 截止时间 yyyy-MM-dd
*/
@ApiOperation(value = "查询日期范围内所有台区用户的谐波遥测数据")
@PostMapping("/queryTelemetryAreaEmsDataTimeRange")
public void queryTelemetryAreaEmsDataTimeRange(String startTime, String endTime) {
try {
DateTime startDate = DateUtil.parse(startTime, DatePattern.NORM_DATE_FORMAT);
DateTime endDate = DateUtil.parse(endTime, DatePattern.NORM_DATE_FORMAT);
long betweenDay = DateUtil.betweenDay(startDate, endDate, true);
//第一天
businessService.queryTelemetryInterfaceAreaData(DateUtil.format(startDate, DatePattern.NORM_DATE_PATTERN));
//后续递增1
for (int i = 0; i < betweenDay; i++) {
startDate = DateUtil.offsetDay(startDate, 1);
businessService.queryTelemetryInterfaceAreaData(DateUtil.format(startDate, DatePattern.NORM_DATE_PATTERN));
}
} catch (Exception exception) {
exception.printStackTrace();
}
}
@ApiOperation(value = "导入10kv分布式光伏接入情况", produces = MediaType.APPLICATION_OCTET_STREAM_VALUE)
@PostMapping("/import10KV")
public void import10(MultipartFile file, HttpServletResponse response) throws Exception {
@@ -205,7 +246,7 @@ public class DisPhotovoltaicController {
}
return "数据导入失败";
}
@Scheduled(cron = "0 30 8 * * ?")
@Scheduled(cron = "0 10 0 * * ?")
public void insert() {
log.error(Thread.currentThread().getName(),"1.定时器启动----");
DateTime dateTime = DateUtil.offsetDay(new Date(), -1);
@@ -218,4 +259,36 @@ public class DisPhotovoltaicController {
log.error(Thread.currentThread().getName() + "2.定时器执行数据成功 "+ds+"----");
}
@Scheduled(cron = "0 10 2 * * ?")
public void insertPms() {
log.error(Thread.currentThread().getName(),"1.定时器启动----");
DateTime dateTime = DateUtil.offsetDay(new Date(), -1);
String s=dateTime.toString();
String ds = s.substring(0, s.indexOf(" "));
log.error(Thread.currentThread().getName() + "1.定时器执行遥测数据日期 "+ds+"----");
businessService.queryTelemetryInterfaceAreaData(ds);
log.error(Thread.currentThread().getName() + "2.定时器执行数据成功 "+ds+"----");
}
@ApiOperation(value = "将台区数据导入到配网表中")
@PostMapping("/cs")
public String importAreaaa() {
Map<String, String> headers=new HashMap<>();
headers.put("Content-Type", "application/xml");
String aa="<soapenv:Envelope xmlns:soapenv=\"http://schemas.xmlsoap.org/soap/envelope/\" xmlns:face=\"http://face.service.prss.com.app\">\n" +
" <soapenv:Header/>\n" +
" <soapenv:Body>\n" +
" <face:getBizcDytsYc>\n" +
" <face:in0>{\"data\":{\"pms_id\":\"634cb757ff8af6df8752399e910152634c8e4b3bfd\",\"startdate\":\"2024-06-10 00:00:00\",\"enddate\":\"2024-06-10 03:00:00\"}}</face:in0>\n" +
" </face:getBizcDytsYc>\n" +
" </soapenv:Body>\n" +
"</soapenv:Envelope>";
RestTemplateUtil restTemplateUtil = new RestTemplateUtil();
ResponseEntity<String> userEntity = restTemplateUtil.post("http://10.118.110.221:8013/prssface-ems/ws/EmsInterface",headers,aa, String.class);
userEntity.getBody();
System.out.println();
return userEntity.getBody().length() + "";
}
}

View File

@@ -0,0 +1,141 @@
package com.njcn.jbsyncdata.enums;
import lombok.Getter;
import java.util.ArrayList;
import java.util.List;
@Getter
public enum EmsInterfaceTypeEnum {
A_VTHD("70100","A相电压谐波总畸变率HVA","A","data_v","v_thd"),
A_V3("70103","A相3次电压谐波","A","data_harmrate_v","v_3"),
A_V4("70104","A相4次电压谐波","A","data_harmrate_v","v_4"),
A_V5("70105","A相5次电压谐波","A","data_harmrate_v","v_5"),
A_V6("70106","A相6次电压谐波","A","data_harmrate_v","v_6"),
A_V7("70107","A相7次电压谐波","A","data_harmrate_v","v_7"),
A_V8("70108","A相8次电压谐波","A","data_harmrate_v","v_8"),
A_V9("70109","A相9次电压谐波","A","data_harmrate_v","v_9"),
A_V10("70110","A相10次电压谐波","A","data_harmrate_v","v_10"),
A_V11("70111","A相11次电压谐波","A","data_harmrate_v","v_11"),
A_V12("70112","A相12次电压谐波","A","data_harmrate_v","v_12"),
A_V13("70113","A相13次电压谐波","A","data_harmrate_v","v_13"),
B_VTHD("70200","B相电压谐波总畸变率HVB","B","data_v","v_thd"),
B_V3("70203","B相3次电压谐波","B","data_harmrate_v","v_3"),
B_V4("70204","B相4次电压谐波","B","data_harmrate_v","v_4"),
B_V5("70205","B相5次电压谐波","B","data_harmrate_v","v_5"),
B_V6("70206","B相6次电压谐波","B","data_harmrate_v","v_6"),
B_V7("70207","B相7次电压谐波","B","data_harmrate_v","v_7"),
B_V8("70208","B相8次电压谐波","B","data_harmrate_v","v_8"),
B_V9("70209","B相9次电压谐波","B","data_harmrate_v","v_9"),
B_V10("70210","B相10次电压谐波","B","data_harmrate_v","v_10"),
B_V11("70211","B相11次电压谐波","B","data_harmrate_v","v_11"),
B_V12("70212","B相12次电压谐波","B","data_harmrate_v","v_12"),
B_V13("70213","B相13次电压谐波","B","data_harmrate_v","v_13"),
C_V4("70221","C相4次电压谐波","C","data_harmrate_v","v_4"),
C_V6("70223","C相6次电压谐波","C","data_harmrate_v","v_6"),
C_V8("70225","C相8次电压谐波","C","data_harmrate_v","v_8"),
C_V10("70227","C相10次电压谐波","C","data_harmrate_v","v_10"),
C_V12("70229","C相12次电压谐波","C","data_harmrate_v","v_12"),
A_I4("70231","A相4次电流谐波","A","data_i","i_4"),
A_I6("70232","A相6次电流谐波","A","data_i","i_6"),
A_I8("70233","A相8次电流谐波","A","data_i","i_8"),
A_I10("70234","A相10次电流谐波","A","data_i","i_10"),
A_I12("70235","A相12次电流谐波","A","data_i","i_12"),
B_I4("70236","B相4次电流谐波","B","data_i","i_4"),
B_I6("70237","B相6次电流谐波","B","data_i","i_6"),
B_I8("70238","B相8次电流谐波","B","data_i","i_8"),
B_I10("70239","B相10次电流谐波","B","data_i","i_10"),
B_I12("70240","B相12次电流谐波","B","data_i","i_12"),
C_I4("70241","C相4次电流谐波","C","data_i","i_4"),
C_I6("70242","C相6次电流谐波","C","data_i","i_6"),
C_I8("70243","C相8次电流谐波","C","data_i","i_8"),
C_I10("70244","C相10次电流谐波","C","data_i","i_10"),
C_I12("70245","C相12次电流谐波","C","data_i","i_12"),
A_V2("70246","A相2次电压谐波","A","data_harmrate_v","v_2"),
B_V2("70247","B相2次电压谐波","B","data_harmrate_v","v_2"),
C_V2("70248","C相2次电压谐波","C","data_harmrate_v","v_2"),
A_I2("70249","A相2次电流谐波","A","data_i","i_2"),
B_I2("70250","B相2次电流谐波","B","data_i","i_2"),
C_I2("70251","C相2次电流谐波","C","data_i","i_2"),
C_VTHD("70300","C相电压谐波总畸变率HVC","C","data_v","v_thd"),
C_V3("70303","C相3次电压谐波","C","data_harmrate_v","v_3"),
C_V5("70305","C相5次电压谐波","C","data_harmrate_v","v_5"),
C_V7("70307","C相7次电压谐波","C","data_harmrate_v","v_7"),
C_V9("70309","C相9次电压谐波","C","data_harmrate_v","v_9"),
C_V11("70311","C相11次电压谐波","C","data_harmrate_v","v_11"),
C_V13("70313","C相13次电压谐波","C","data_harmrate_v","v_13"),
A_I3("70910","A相3次电流谐波","A","data_i","i_3"),
A_I5("70911","A相5次电流谐波","A","data_i","i_5"),
A_I7("70912","A相7次电流谐波","A","data_i","i_7"),
A_I9("70913","A相9次电流谐波","A","data_i","i_9"),
A_I11("70914","A相11次电流谐波","A","data_i","i_11"),
A_I13("70915","A相13次电流谐波","A","data_i","i_13"),
B_I3("70919","B相3次电流谐波","B","data_i","i_3"),
B_I5("70920","B相5次电流谐波","B","data_i","i_5"),
B_I7("70921","B相7次电流谐波","B","data_i","i_7"),
B_I9("70922","B相9次电流谐波","B","data_i","i_9"),
B_I11("70923","B相11次电流谐波","B","data_i","i_11"),
B_I13("70924","B相13次电流谐波","B","data_i","i_13"),
C_I3("70928","C相3次电流谐波","C","data_i","i_3"),
C_I5("70929","C相5次电流谐波","C","data_i","i_5"),
C_I7("70930","C相7次电流谐波","C","data_i","i_7"),
C_I9("70931","C相9次电流谐波","C","data_i","i_9"),
C_I11("70932","C相11次电流谐波","C","data_i","i_11"),
C_I13("70933","C相13次电流谐波","C","data_i","i_13"),
A_ITHD("70952","A相电流谐波畸变率","A","data_i","i_thd"),
B_ITHD("70953","B相电流谐波畸变率","B","data_i","i_thd"),
C_ITHD("70954","C相电流谐波畸变率","C","data_i","i_thd"),
;
//冀北指标名称
private final String measType;
//中文名
private final String cnName;
//相别
private final String phaseType;
//表名
private final String tableName;
//字段名
private final String fieldName;
EmsInterfaceTypeEnum(String measType, String cnName, String phaseType, String tableName, String fieldName) {
this.measType = measType;
this.cnName = cnName;
this.phaseType = phaseType;
this.tableName = tableName;
this.fieldName = fieldName;
}
/**
* 根据指标获取当前指标的信息
* @param measType 指标名称
*/
public static EmsInterfaceTypeEnum getMeasTypeEnumByMeasType(String measType) {
for (EmsInterfaceTypeEnum item : values()) {
if (item.getMeasType().equals(measType)) {
return item;
}
}
return null;
}
/**
* 获取所有指标类型名称集合
*/
public static List<String> getMeasList() {
List<String> measLiST = new ArrayList<>();
for (EmsInterfaceTypeEnum temp : values()) {
String type = temp.getMeasType();
measLiST.add(type);
}
return measLiST;
}
}

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@@ -2,6 +2,9 @@ package com.njcn.jbsyncdata.mapper;
import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import com.njcn.jbsyncdata.pojo.po.PmsPowerDistributionarea;
import org.apache.ibatis.annotations.Param;
import java.util.List;
/**
* <p>
@@ -13,4 +16,5 @@ import com.njcn.jbsyncdata.pojo.po.PmsPowerDistributionarea;
*/
public interface PmsPowerDistributionareaMapper extends BaseMapper<PmsPowerDistributionarea> {
List<String> getDeptIds(@Param("id") String id);
}

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@@ -2,4 +2,8 @@
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.njcn.jbsyncdata.mapper.PmsPowerDistributionareaMapper">
<select id="getDeptIds" resultType="java.lang.String">
select code from sys_dept where find_in_set(#{id},pids) and state = 1
</select>
</mapper>

View File

@@ -31,7 +31,7 @@ public class DistributionAreaExcel implements Serializable {
/**
* 变压器名称
*/
@ExcelProperty("变压器名称")
@ExcelProperty("台区名称")
private String name;
/**
@@ -49,8 +49,8 @@ public class DistributionAreaExcel implements Serializable {
@ExcelProperty(value = "公司名称")
private String orgName;
@ExcelProperty(value = "供电所")
private String powerSupply;
@ExcelProperty(value = "变电站名称")
private String powerrName;
@ExcelProperty(value = "无数据的指标")
private String types;

View File

@@ -1,7 +1,7 @@
package com.njcn.jbsyncdata.pojo.po;
import com.fasterxml.jackson.databind.annotation.JsonSerialize;
import com.njcn.jbsyncdata.util.InstantDateSerializer;
import com.njcn.influx.utils.InstantDateSerializer;
import lombok.Data;
import org.influxdb.annotation.Column;
import org.influxdb.annotation.Measurement;

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@@ -0,0 +1,49 @@
package com.njcn.jbsyncdata.pojo.po;
import lombok.Data;
/**
* @author wr
* @description
* @date 2024/6/11 15:46
*/
@Data
public class EmsInterface {
//主键
private String ID;
//市、县公司
private String SXGS;
//遥测时间
private String YCSJ;
//终端ID
private String ZDID;
//测点ID
private String CDID;
//设备ID
private String SBID;
//PMS2.0编号
private String PMSBH;
//测点值
private String CDZ;
//遥测类型
private String YCLX;
//更新时间
private String GXSJ;
//据插入时间
private String SJCRSJ;
//资源id
private String PMS_ID;
}

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@@ -1,5 +1,6 @@
package com.njcn.jbsyncdata.pojo.po;
import com.alibaba.excel.annotation.ExcelProperty;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
@@ -26,18 +27,21 @@ public class PmsPowerDistributionarea {
* 台区编号
*/
@TableId("Id")
@ExcelProperty(value = "台区编号")
private String id;
/**
* 台区名称
*/
@TableField("Name")
@ExcelProperty("台区名称")
private String name;
/**
* 组织机构名称
*/
@TableField("Org_Name")
@ExcelProperty("所属部门")
private String orgName;
/**
@@ -62,6 +66,7 @@ public class PmsPowerDistributionarea {
* 变电站名称
*/
@TableField("Powerr_Name")
@ExcelProperty(value = "变电站名称")
private String powerrName;
/**
@@ -74,6 +79,7 @@ public class PmsPowerDistributionarea {
* 监测线路名称
*/
@TableField("Line_Name")
@ExcelProperty("所属线路")
private String lineName;
/**
@@ -209,6 +215,7 @@ public class PmsPowerDistributionarea {
private String updateBy;
@TableField("Pms_Id")
@ExcelProperty("PMS资源id同源")
private String pmsID;
/**
* 更新时间
@@ -216,5 +223,7 @@ public class PmsPowerDistributionarea {
@TableField("Update_Time")
private LocalDateTime updateTime;
@ExcelProperty(value = "无数据的指标")
@TableField(exist = false)
private String types;
}

View File

@@ -8,5 +8,11 @@ public interface IBusinessService {
void queryTelemetryAreaData(String date);
/**
* 获取台区遥测数据
* @param date
*/
void queryTelemetryInterfaceAreaData(String date);
}

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@@ -9,12 +9,14 @@ import cn.hutool.json.JSONUtil;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.njcn.jbsyncdata.component.TokenComponent;
import com.njcn.jbsyncdata.enums.MeasTypeEnum;
import com.njcn.jbsyncdata.mapper.PmsPowerDistributionareaMapper;
import com.njcn.jbsyncdata.pojo.po.PmsPowerDistributionarea;
import com.njcn.jbsyncdata.pojo.result.*;
import com.njcn.jbsyncdata.service.IBusinessService;
import com.njcn.jbsyncdata.service.IPmsPowerDistributionareaService;
import com.njcn.jbsyncdata.service.IPmsPowerGenerationUserService;
import com.njcn.jbsyncdata.util.AreaDataProcessing;
import com.njcn.jbsyncdata.util.AreaInterfaceDataProcessing;
import com.njcn.jbsyncdata.util.DataProcessing;
import com.njcn.jbsyncdata.util.RestTemplateUtil;
import lombok.extern.slf4j.Slf4j;
@@ -39,12 +41,16 @@ public class BusinessServiceImpl implements IBusinessService {
@Resource
private AreaDataProcessing areaDataProcessing;
@Resource
private AreaInterfaceDataProcessing areaInterfaceDataProcessing;
@Resource
private IPmsPowerGenerationUserService pmsPowerGenerationUserService;
@Resource
private IPmsPowerDistributionareaService powerDistributionareaService;
@Resource
private PmsPowerDistributionareaMapper pmsPowerDistributionareaMapper;
/**
* 此方法通过发电客户编号查询数据,该方法存在以下问题
* 问题一一个发电客户编号同指标返回的数据会有多个但是目前看到最多2个测量点数据。
@@ -75,7 +81,7 @@ public class BusinessServiceImpl implements IBusinessService {
JSONObject jsonObject = JSONUtil.createObj();
JSONObject jsonObjectSub = JSONUtil.createObj();
jsonObject.set("page", 1);
jsonObject.set("perPage", 10000);
jsonObject.set("perPage", 2000);
jsonObject.set("startTime", DateUtil.format(beginOfDay, DatePattern.NORM_DATETIME_FORMATTER));
jsonObject.set("endTime", DateUtil.format(endOfDay, DatePattern.NORM_DATETIME_FORMATTER));
//1公专变2低压用户3光伏
@@ -93,7 +99,7 @@ public class BusinessServiceImpl implements IBusinessService {
List<String> userIds = pmsPowerGenerationUserService.queryAllUserId();
List<List<String>> singleQueryDataUserId = ListUtils.partition(userIds, 20000);
for (int k = 0; k < singleQueryDataUserId.size(); k++) {
dataProcessing.asyncInfluxDb(tokenComponent,date, restTemplateUtil, typeList, jsonObject, jsonObjectSub, headers, singleQueryDataUserId, k);
dataProcessing.asyncInfluxDb(tokenComponent, date, restTemplateUtil, typeList, jsonObject, jsonObjectSub, headers, singleQueryDataUserId, k);
}
}
@@ -113,7 +119,7 @@ public class BusinessServiceImpl implements IBusinessService {
JSONObject jsonObject = JSONUtil.createObj();
JSONObject jsonObjectSub = JSONUtil.createObj();
jsonObject.set("page", 1);
jsonObject.set("perPage", 10000);
jsonObject.set("perPage", 2000);
jsonObject.set("startTime", DateUtil.format(beginOfDay, DatePattern.NORM_DATETIME_FORMATTER));
jsonObject.set("endTime", DateUtil.format(endOfDay, DatePattern.NORM_DATETIME_FORMATTER));
//1公专变2低压用户3光伏
@@ -137,9 +143,34 @@ public class BusinessServiceImpl implements IBusinessService {
.collect(Collectors.toList());
List<List<PmsPowerDistributionarea>> singleQueryDataUserId = ListUtils.partition(list, 20000);
for (int k = 0; k < singleQueryDataUserId.size(); k++) {
areaDataProcessing.asyncInfluxDb(tokenComponent,date, restTemplateUtil, typeList, jsonObject, jsonObjectSub, headers, singleQueryDataUserId, k);
areaDataProcessing.asyncInfluxDb(tokenComponent, date, restTemplateUtil, typeList, jsonObject, jsonObjectSub, headers, singleQueryDataUserId, k);
}
}
@Override
public void queryTelemetryInterfaceAreaData(String date) {
DateTime dateTemp = DateUtil.parse(date, DatePattern.NORM_DATE_FORMAT);
DateTime beginOfDay = DateUtil.beginOfDay(dateTemp);
DateTime endOfDay = DateUtil.endOfDay(dateTemp);
String startTime = DateUtil.format(beginOfDay, DatePattern.NORM_DATETIME_FORMATTER);
String endTime = DateUtil.format(endOfDay, DatePattern.NORM_DATETIME_FORMATTER);
List<String> deptIds = pmsPowerDistributionareaMapper.getDeptIds("2adc64baf2308725c4e91105b3186b21");
//获取所有发电用户的id
List<PmsPowerDistributionarea> list = powerDistributionareaService.list(new LambdaQueryWrapper<PmsPowerDistributionarea>()
.select(PmsPowerDistributionarea::getId, PmsPowerDistributionarea::getPmsID)
.in(PmsPowerDistributionarea::getOrgId, deptIds)
.isNotNull(PmsPowerDistributionarea::getPmsID)
);
list = list.stream()
.filter(t -> StrUtil.isNotBlank(t.getPmsID()))
.collect(Collectors.toList());
List<List<PmsPowerDistributionarea>> singleQueryDataUserId = ListUtils.partition(list, 2000);
for (int k = 0; k < singleQueryDataUserId.size(); k++) {
areaInterfaceDataProcessing.asyncInfluxDb(startTime, endTime, singleQueryDataUserId.get(k), k);
}
System.out.println("结束");
}
}

View File

@@ -279,16 +279,16 @@ public class DisPhotovoltaicServiceImpl implements DisPhotovoltaicService {
area.setOperationName(dept.get(0).getName());
area.setOperationId(dept.get(0).getCode());
}
if(StrUtil.isNotEmpty(excel.getPowerSupply())){
if(StrUtil.isNotEmpty(excel.getPowerrName())){
List<PmsStatationStat> station = oldList.stream()
.filter(x ->x.getPowerName().contains(excel.getPowerSupply()))
.filter(x ->x.getPowerName().contains(excel.getPowerrName()))
.collect(Collectors.toList());
if (CollUtil.isNotEmpty(station)){
area.setPowerrName(station.get(0).getPowerName());
area.setPowerStationId(station.get(0).getPowerId());
area.setVoltageLevel(station.get(0).getVoltageLevel());
}else {
area.setPowerrName(excel.getPowerSupply());
area.setPowerrName(excel.getPowerrName());
area.setPowerStationId(IdUtil.simpleUUID());
area.setVoltageLevel(dictData.getId());
}

View File

@@ -57,7 +57,7 @@ public class AreaDataProcessing {
) {
TokenResult tokenWithRestTemplate;
//将发电用户编号按100尺寸分片
List<List<PmsPowerDistributionarea>> partitionList = ListUtils.partition(singleQueryDataUserId.get(k), 100);
List<List<PmsPowerDistributionarea>> partitionList = ListUtils.partition(singleQueryDataUserId.get(k), 20);
log.error("总计分了{}片", partitionList.size());
int count = 0;
tokenWithRestTemplate = tokenComponent.getTokenWithRestTemplate();

View File

@@ -0,0 +1,272 @@
package com.njcn.jbsyncdata.util;
import cn.hutool.core.collection.CollUtil;
import cn.hutool.core.collection.CollectionUtil;
import cn.hutool.core.date.DatePattern;
import cn.hutool.core.date.DateUtil;
import cn.hutool.core.io.file.FileWriter;
import cn.hutool.core.text.StrPool;
import cn.hutool.core.util.StrUtil;
import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject;
import com.njcn.influx.utils.InfluxDbUtils;
import com.njcn.jbsyncdata.enums.EmsInterfaceTypeEnum;
import com.njcn.jbsyncdata.pojo.InfluxAreaData;
import com.njcn.jbsyncdata.pojo.po.EmsInterface;
import com.njcn.jbsyncdata.pojo.po.PmsPowerDistributionarea;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.collections4.ListUtils;
import org.apache.commons.lang3.StringUtils;
import org.influxdb.InfluxDB;
import org.influxdb.dto.BatchPoints;
import org.influxdb.dto.Point;
import org.springframework.http.ResponseEntity;
import org.springframework.scheduling.annotation.Async;
import org.springframework.stereotype.Component;
import org.w3c.dom.Document;
import org.w3c.dom.Element;
import org.xml.sax.InputSource;
import javax.xml.parsers.DocumentBuilder;
import javax.xml.parsers.DocumentBuilderFactory;
import java.io.File;
import java.io.StringReader;
import java.util.*;
import java.util.concurrent.TimeUnit;
import java.util.stream.Collectors;
/**
* @author wr
* @description
* @date 2023/10/20 14:14
*/
@Component
@RequiredArgsConstructor
@Slf4j
public class AreaInterfaceDataProcessing {
private final InfluxDbUtils influxDbUtils;
@Async("asyncExecutor")
public void asyncInfluxDb(
String startTime,
String endTime,
List<PmsPowerDistributionarea> singleQueryDataUserId, int k
) {
StringReader stringReader;
InputSource inputSource;
DocumentBuilder documentBuilder;
Document document;
int count = 0;
//获取初始化数据信息
List<EmsInterface> responseEntities = new ArrayList<>();
// // 创建 DocumentBuilder 对象
// DocumentBuilderFactory factory = DocumentBuilderFactory.newInstance();
// DocumentBuilder builder;
// try {
// builder = factory.newDocumentBuilder();
// // 解析 SOAP XML 文件
// Document document = builder.parse("C:\\Users\\web2023\\Desktop\\response.xml");
// // 获取 SOAP Body 元素
// Element body = (Element) document.getElementsByTagName("soap:Body").item(0);
// // 获取 GetStockPrice 元素
// Element stockPrice = (Element) body.getElementsByTagName("ns1:getBizcDytsYcResponse").item(0);
// // 获取 StockName 元素的文本内容
// String stockName = stockPrice.getElementsByTagName("ns1:out").item(0).getTextContent();
// Map ma = JSONObject.parseObject(stockName, Map.class);
// responseEntities.addAll(JSONArray.parseArray(JSONArray.toJSONString(ma.get("data")), EmsInterface.class));
// } catch (ParserConfigurationException | SAXException | IOException e) {
// throw new RuntimeException(e);
// }
//没有遥测数据的信息
List<String> notEmsInterface = new ArrayList<>();
int kk = k + 1;
for (PmsPowerDistributionarea areaIds : singleQueryDataUserId) {
count++;
//log.error("查询第{}大片,{}小片数据", kk, count);
try {
Map<String, String> headers = new HashMap<>();
headers.put("Content-Type", "application/xml");
String aa = "<soapenv:Envelope xmlns:soapenv=\"http://schemas.xmlsoap.org/soap/envelope/\" xmlns:face=\"http://face.service.prss.com.app\">\n" +
" <soapenv:Header/>\n" +
" <soapenv:Body>\n" +
" <face:getBizcDytsYc>\n" +
" <face:in0>{\"data\":{\"pms_id\":\"" + areaIds.getPmsID() + "\",\"startdate\":\"" + startTime + "\",\"enddate\":\"" + endTime + "\"}}</face:in0>\n" +
" </face:getBizcDytsYc>\n" +
" </soapenv:Body>\n" +
"</soapenv:Envelope>";
RestTemplateUtil restTemplateUtil = new RestTemplateUtil();
ResponseEntity<String> userEntity = restTemplateUtil.post("http://10.118.110.221:8013/prssface-ems/ws/EmsInterface", headers, aa, String.class);
if (userEntity.getStatusCodeValue() == 200) {
String entityBody = userEntity.getBody();
stringReader = new StringReader(entityBody);
inputSource = new InputSource(stringReader);
documentBuilder = DocumentBuilderFactory.newInstance().newDocumentBuilder();
document = documentBuilder.parse(inputSource);
// 获取 SOAP Body 元素
Element body = (Element) document.getElementsByTagName("soap:Body").item(0);
// 获取 GetStockPrice 元素
Element stockPrice = (Element) body.getElementsByTagName("ns1:getBizcDytsYcResponse").item(0);
// 获取 StockName 元素的文本内容
String stockName = stockPrice.getElementsByTagName("ns1:out").item(0).getTextContent();
Map ma = JSONObject.parseObject(stockName, Map.class);
if(ma.containsKey("data")){
List<EmsInterface> resul = JSONArray.parseArray(com.alibaba.fastjson.JSONArray.toJSONString(ma.get("data")), EmsInterface.class);
if(CollUtil.isNotEmpty(resul)){
responseEntities.addAll(resul);
}else{
notEmsInterface.add(areaIds.getPmsID());
}
}
}
} catch (Exception exception) {
//log.error("远程调用接口异常,异常为:" + exception);
}
}
List<String> typeList = EmsInterfaceTypeEnum.getMeasList();
//开始解析数据
Set<String> userIdConcatMeasType = new HashSet<>();
//将指标+pms_id组合起来匹配返回数据的第一条记录:pms_Id@measType
for (String measType : typeList) {
userIdConcatMeasType.addAll(singleQueryDataUserId.stream().map(x -> x.getPmsID().concat(StrPool.AT).concat(measType)).collect(Collectors.toSet()));
}
List</*各值以逗号分隔*/InfluxAreaData> influxData;
Map</*表名*/String, List</*各值以逗号分隔*/String>> typeData = new HashMap<>();
StringBuilder tempInfluxData;
String dataIdentify;
EmsInterfaceTypeEnum measTypeEnumByMeasType;
//获取资源id和台区的对应关系
Map<String, List<String>> areaMap = singleQueryDataUserId.stream().collect(Collectors.groupingBy(PmsPowerDistributionarea::getPmsID, Collectors.mapping(PmsPowerDistributionarea::getId, Collectors.toList())));
//数据处理
for (EmsInterface emsInterface : responseEntities) {
dataIdentify = emsInterface.getPMS_ID().concat(StrPool.AT).concat(emsInterface.getYCLX());
if (userIdConcatMeasType.contains(dataIdentify)) {
//获取该类型枚举
measTypeEnumByMeasType = EmsInterfaceTypeEnum.getMeasTypeEnumByMeasType(emsInterface.getYCLX());
influxData = new ArrayList<>();
InfluxAreaData influxAreaData;
if(areaMap.containsKey(emsInterface.getPMS_ID())){
List<String> list = areaMap.get(emsInterface.getPMS_ID());
for (String s : list) {
tempInfluxData = new StringBuilder();
tempInfluxData.append(measTypeEnumByMeasType.getPhaseType())
.append(StrPool.COMMA)
.append(s)
.append(StrPool.COMMA)
.append(emsInterface.getYCSJ())
.append(StrPool.COMMA)
.append(measTypeEnumByMeasType.getFieldName())
.append(StrPool.COMMA)
.append(StrUtil.isBlank(emsInterface.getCDZ()) ? "0" : emsInterface.getCDZ());
influxAreaData=new InfluxAreaData();
influxAreaData.setId(s);
influxAreaData.setInfluxData(tempInfluxData.toString());
influxData.add(influxAreaData);
}
//userId@measType@tableName:存在多个指标存储表名一致,避免数据覆盖;
Map<String, List<String>> influxLineData = influxData.stream().collect(Collectors.groupingBy(InfluxAreaData::getId, Collectors.mapping(InfluxAreaData::getInfluxData, Collectors.toList())));
for (String s : influxLineData.keySet()) {
typeData.put(s.concat(StrPool.AT).concat(measTypeEnumByMeasType.getMeasType()).concat(StrPool.AT).concat(measTypeEnumByMeasType.getTableName()), influxLineData.get(s));
}
//处理完,删除该条记录,减少集合尺寸,提高效率
userIdConcatMeasType.remove(dataIdentify);
}
} else {
//log.error("查询遥测数据失败!结果为:{}", dataIdentify);
}
}
//没有匹配上的就是该用户没有数据
//log.error("剩余有{}条标识", userIdConcatMeasType.size());
//最后输出没有数据的资源编号
/**
* 输出到2个文件lackData.txt、 excalationData.txt
* 注:
* 1、所有指标均没有有数据的资源编号
* 2、部分指标没有数据的资源编号并表明是哪些指标
*/
if (CollectionUtil.isNotEmpty(userIdConcatMeasType)) {
Map<String, List<String>> finalMap = userIdConcatMeasType.stream().collect(Collectors.groupingBy(str ->
str.substring(0, str.indexOf(StrPool.AT))
));
//全部缺失数据的用户
List<String> lackData = new ArrayList<>();
//部分缺失的用户及指标
List<String> excalationData = new ArrayList<>();
Set<String> keyedSet = finalMap.keySet();
for (String key : keyedSet) {
List<String> data = finalMap.get(key);
if (data.size() == typeList.size()) {
lackData.add(key);
} else {
data = data.stream().map(t -> t.substring(t.indexOf(StrPool.AT) + 1)).collect(Collectors.toList());
key = key.concat(StrPool.COMMA).concat(StringUtils.join(data, StrPool.AT));
excalationData.add(key);
}
}
FileWriter lackDataWriter = FileWriter.create(new File("/usr/local/syncDataEms/lackData" + startTime.substring(0,10) + k + "台区.txt"));
lackDataWriter.writeLines(lackData);
FileWriter excalationDataWriter = FileWriter.create(new File("/usr/local/syncDataEms/excalationData" + startTime.substring(0,10) + k + "台区.txt"));
excalationDataWriter.writeLines(excalationData);
}
//log.error("用户有指标没有数据的长度为:{}", userIdConcatMeasType.size());
//最后批量入库
batchInsertData(typeData);
}
/**
* 批量入库influxDB
*
* @param typeData 远程根据用户编号获取的数据 Map</表名/String, List<Map</属性名/String,/数值/String>>> typeData = new HashMap<>();
*/
private void batchInsertData(Map<String, List<String>> typeData) {
//log.error("总计有{}条记录入库以20000作为基数分片插入influxdb", typeData.size());
List<String> sqlList = new ArrayList<>();
Set<String> tableNames = typeData.keySet();
String[] datas;
Map<String, String> tags;
Map<String, Object> fields;
Point point;
BatchPoints batchPoints;
for (String tableName : tableNames) {
List<String> data = typeData.get(tableName);
tableName = tableName.substring(tableName.lastIndexOf(StrPool.AT) + 1);
for (String datum : data) {
datas = datum.split(StrPool.COMMA);
//tag数据
tags = new HashMap<>();
tags.put("phasic_type", datas[0]);
tags.put("line_id", datas[1]);
tags.put("quality_flag", "0");
tags.put("value_type", "AVG");
String time = datas[2];
//tag数据删完后剩余均是filed数据,因filed属性名不固定无法指定获取直接循环
fields = new HashMap<>();
fields.put(datas[3], datas[4]);
point = influxDbUtils.pointBuilder(tableName, DateUtil.parse(time, DatePattern.NORM_DATETIME_MS_PATTERN).getTime(), TimeUnit.MILLISECONDS, tags, fields);
batchPoints = BatchPoints.database(influxDbUtils.getDbName()).retentionPolicy("").consistency(InfluxDB.ConsistencyLevel.ALL).build();
batchPoints.point(point);
sqlList.add(batchPoints.lineProtocol());
}
}
List<List<String>> subSqlList = ListUtils.partition(sqlList, 20000);
int count = 1;
for (List<String> sql : subSqlList) {
try {
influxDbUtils.batchInsert(influxDbUtils.getDbName(), "autogen", InfluxDB.ConsistencyLevel.ALL, TimeUnit.MILLISECONDS, sql);
} catch (Exception exception) {
//log.error("数据批量入库异常,异常为:{}", exception.toString());
exception.printStackTrace();
}
log.error("已经入库{}条记录!", count * 20000);
count++;
}
log.error("当前批次所有数据,{}条均已入库!", sqlList.size());
}
}

View File

@@ -54,7 +54,7 @@ public class DataProcessing {
) {
TokenResult tokenWithRestTemplate;
//将发电用户编号按100尺寸分片
List<List<String>> partitionList = ListUtils.partition(singleQueryDataUserId.get(k), 100);
List<List<String>> partitionList = ListUtils.partition(singleQueryDataUserId.get(k), 20);
log.error("总计分了{}片", partitionList.size());
int count = 0;
tokenWithRestTemplate = tokenComponent.getTokenWithRestTemplate();

View File

@@ -1,38 +0,0 @@
package com.njcn.jbsyncdata.util;
import cn.hutool.core.date.DatePattern;
import cn.hutool.core.date.DateUtil;
import com.fasterxml.jackson.core.JsonParser;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.DeserializationContext;
import com.fasterxml.jackson.databind.deser.std.StdDeserializer;
import org.springframework.stereotype.Component;
import java.io.IOException;
import java.time.Instant;
/**
* @author hongawen
* @version 1.0.0
* @date 2023年07月24日 13:33
*/
@Component
public class InstantDateDeserializer extends StdDeserializer<Instant> {
public InstantDateDeserializer() {
this(null);
}
protected InstantDateDeserializer(Class<?> vc) {
super(vc);
}
@Override
public Instant deserialize(JsonParser p, DeserializationContext ctxt) throws IOException, JsonProcessingException {
String text = p.getValueAsString();
return PubUtils.dateToInstant(DateUtil.parse(text,DatePattern.NORM_DATETIME_PATTERN));
}
}

View File

@@ -1,48 +0,0 @@
package com.njcn.jbsyncdata.util;
import cn.hutool.core.date.DatePattern;
import com.fasterxml.jackson.core.JsonGenerator;
import com.fasterxml.jackson.databind.SerializerProvider;
import com.fasterxml.jackson.databind.ser.std.StdSerializer;
import org.springframework.stereotype.Component;
import java.io.IOException;
import java.time.Instant;
import java.time.ZoneId;
import java.time.format.DateTimeFormatter;
/**
* @author hongawen
* @version 1.0.0
* @date 2023年04月25日 16:33
*/
@Component
public class InstantDateSerializer extends StdSerializer<Instant> {
private static final long serialVersionUID = 1L;
private static DateTimeFormatter format = DateTimeFormatter.ofPattern(DatePattern.NORM_DATETIME_PATTERN);
public InstantDateSerializer() {
this(null);
}
public InstantDateSerializer(Class<Instant> t) {
super(t);
}
/***
* 转义为 yyyy-MM-dd HH:mm:ss
* @author hongawen
*/
@Override
public void serialize(Instant instant, JsonGenerator jsonGenerator, SerializerProvider provider)
throws IOException {
if (instant == null) {
return;
}
String jsonValue = format.format(instant.atZone(ZoneId.of("+00:00")));
jsonGenerator.writeString(jsonValue);
}
}