测试解析数据入influx库
This commit is contained in:
7
pom.xml
7
pom.xml
@@ -46,6 +46,7 @@
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<maven.compiler.target>8</maven.compiler.target>
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<commons-io.version>2.8.0</commons-io.version>
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<hutool.version>5.7.9</hutool.version>
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<influxdb-java.version>2.22</influxdb-java.version>
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</properties>
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@@ -167,6 +168,12 @@
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<version>2.0.7</version>
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</dependency>
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<dependency>
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<groupId>com.njcn</groupId>
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<artifactId>influxdb-springboot-starter</artifactId>
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<version>1.0.0</version>
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</dependency>
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</dependencies>
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<build>
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72
src/main/java/com/njcn/jbsyncdata/enums/MeasTypeEnum.java
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72
src/main/java/com/njcn/jbsyncdata/enums/MeasTypeEnum.java
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@@ -0,0 +1,72 @@
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package com.njcn.jbsyncdata.enums;
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import lombok.Getter;
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import java.util.ArrayList;
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import java.util.List;
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@Getter
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public enum MeasTypeEnum {
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A_PHSA("A_phsA", "A相电流", "A","data_i","rms"),
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A_PHSB("A_phsB", "B相电流", "B","data_i","rms"),
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A_PHSC("A_phsC", "C相电流", "C","data_i","rms"),
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PHV_PHSA("PhV_phsA", "A相电压", "A","data_v","rms"),
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PHV_PHSB("PhV_phsB", "B相电压", "B","data_v","rms"),
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PHV_PHSC("PhV_phsC", "C相电压", "C","data_v","rms"),
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TOTW("TotW", "有功", "T","data_harmpower_p","p"),
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TOTVAR("TotVar", "无功", "T","data_harmpower_q","q");
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//冀北指标名称
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private final String measType;
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//中文名
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private final String cnName;
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//相别
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private final String phaseType;
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//表名
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private final String tableName;
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//字段名
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private final String fieldName;
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MeasTypeEnum(String measType, String cnName, String phaseType, String tableName,String fieldName) {
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this.measType = measType;
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this.cnName = cnName;
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this.phaseType = phaseType;
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this.tableName = tableName;
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this.fieldName = fieldName;
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}
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/**
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* 根据指标获取当前指标的信息
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* @param measType 指标名称
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*/
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public static MeasTypeEnum getMeasTypeEnumByMeasType(String measType) {
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for (MeasTypeEnum item : values()) {
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if (item.getMeasType().equals(measType)) {
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return item;
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}
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}
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return null;
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}
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/**
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* 获取所有指标类型名称集合
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*/
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public static List<String> getMeasList() {
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List<String> measLiST = new ArrayList<>();
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for (MeasTypeEnum temp : values()) {
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String type = temp.getMeasType();
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measLiST.add(type);
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}
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return measLiST;
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}
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}
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22
src/main/java/com/njcn/jbsyncdata/imapper/DataVMapper.java
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22
src/main/java/com/njcn/jbsyncdata/imapper/DataVMapper.java
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@@ -0,0 +1,22 @@
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package com.njcn.jbsyncdata.imapper;
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import com.njcn.influx.base.InfluxDbBaseMapper;
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import com.njcn.influx.query.InfluxQueryWrapper;
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import com.njcn.jbsyncdata.pojo.po.DataV;
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import java.util.List;
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/**
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* 类的介绍：
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*
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* @author xuyang
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* @version 1.0.0
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* @createTime 2023/5/5 14:39
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*/
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public interface DataVMapper extends InfluxDbBaseMapper<DataV> {
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List<DataV> selectDataV(InfluxQueryWrapper queryWrapper);
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}
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235
src/main/java/com/njcn/jbsyncdata/pojo/po/DataV.java
Normal file
235
src/main/java/com/njcn/jbsyncdata/pojo/po/DataV.java
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@@ -0,0 +1,235 @@
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package com.njcn.jbsyncdata.pojo.po;
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import com.fasterxml.jackson.databind.annotation.JsonSerialize;
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import com.njcn.jbsyncdata.util.InstantDateSerializer;
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import lombok.Data;
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import org.influxdb.annotation.Column;
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import org.influxdb.annotation.Measurement;
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import org.influxdb.annotation.TimeColumn;
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import java.time.Instant;
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/**
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* 类的介绍：
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*
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* @author xuyang
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* @version 1.0.0
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* @createTime 2022/4/7 10:00
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*/
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@Data
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@Measurement(name = "data_v")
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public class DataV {
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@TimeColumn
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@Column(name = "time",tag = true)
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@JsonSerialize(using = InstantDateSerializer.class)
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private Instant time;
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@Column(name = "freq")
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private double freq;
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@Column(name = "freq_dev")
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private double freqDev;
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@Column(name = "quality_flag",tag = true)
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private String qualityFlag;
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@Column(name = "rms")
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private double rms;
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@Column(name = "rms_lvr")
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private double rmsLvr;
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@Column(name = "vl_dev")
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private double vlDev;
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@Column(name = "vu_dev")
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private double vuDev;
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@Column(name = "v_1")
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private double v1;
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@Column(name = "v_2")
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private double v2;
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@Column(name = "v_3")
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private double v3;
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@Column(name = "v_4")
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private double v4;
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@Column(name = "v_5")
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private double v5;
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@Column(name = "v_6")
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private double v6;
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@Column(name = "v_7")
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private double v7;
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@Column(name = "v_8")
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private double v8;
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@Column(name = "v_9")
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private double v9;
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@Column(name = "v_10")
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private double v10;
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@Column(name = "v_11")
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private double v11;
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@Column(name = "v_12")
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private double v12;
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@Column(name = "v_13")
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private double v13;
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@Column(name = "v_14")
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private double v14;
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@Column(name = "v_15")
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private double v15;
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@Column(name = "v_16")
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private double v16;
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@Column(name = "v_17")
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private double v17;
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@Column(name = "v_18")
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private double v18;
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@Column(name = "v_19")
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private double v19;
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@Column(name = "v_20")
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private double v20;
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@Column(name = "v_21")
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private double v21;
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@Column(name = "v_22")
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private double v22;
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@Column(name = "v_23")
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private double v23;
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@Column(name = "v_24")
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private double v24;
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@Column(name = "v_25")
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private double v25;
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@Column(name = "v_26")
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private double v26;
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@Column(name = "v_27")
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private double v27;
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@Column(name = "v_28")
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private double v28;
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@Column(name = "v_29")
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private double v29;
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@Column(name = "v_30")
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private double v30;
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@Column(name = "v_31")
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private double v31;
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@Column(name = "v_32")
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private double v32;
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@Column(name = "v_33")
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private double v33;
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@Column(name = "v_34")
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private double v34;
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@Column(name = "v_35")
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private double v35;
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@Column(name = "v_36")
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private double v36;
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@Column(name = "v_37")
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private double v37;
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@Column(name = "v_38")
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private double v38;
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@Column(name = "v_39")
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private double v39;
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@Column(name = "v_40")
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private double v40;
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@Column(name = "v_41")
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private double v41;
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@Column(name = "v_42")
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private double v42;
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@Column(name = "v_43")
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private double v43;
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@Column(name = "v_44")
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private double v44;
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@Column(name = "v_45")
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private double v45;
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@Column(name = "v_46")
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private double v46;
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@Column(name = "v_47")
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private double v47;
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@Column(name = "v_48")
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private double v48;
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@Column(name = "v_49")
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private double v49;
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@Column(name = "v_50")
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private double v50;
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@Column(name = "v_neg")
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private double vNeg;
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@Column(name = "v_pos")
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private double vPos;
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@Column(name = "v_thd")
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private double vThd;
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@Column(name = "v_unbalance")
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private double vUnbalance;
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@Column(name = "v_zero")
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private double vZero;
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@Column(name = "line_id",tag = true)
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private String lineId;
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@Column(name = "phasic_type",tag = true)
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private String phasicType;
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@Column(name = "value_type",tag = true)
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private String valueType;
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//自定义字段-总计算次数
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@Column(name = "all_time")
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private Integer allTime;
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//自定义字段
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@Column(name = "mean")
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private double mean;
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//自定义字段
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@Column(name = "count")
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private Integer count;
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}
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@@ -0,0 +1,38 @@
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package com.njcn.jbsyncdata.pojo.result;
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import lombok.Data;
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import java.io.Serializable;
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import java.util.List;
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@Data
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public class CommonTelemetry implements Serializable {
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private String measPointId;
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private String psrId;
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private String psrType;
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private String astId;
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private String astType;
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private String consNo;
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private String consType;
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private String measTypeCode;
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private String measTypeName;
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private String source;
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private String pt;
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private String ct;
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private List<StatisticsData> telemetryValue;
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}
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@@ -1,10 +0,0 @@
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package com.njcn.jbsyncdata.pojo.result;
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import lombok.Data;
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import java.io.Serializable;
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@Data
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public class DataResult implements Serializable {
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}
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@@ -0,0 +1,15 @@
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package com.njcn.jbsyncdata.pojo.result;
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import lombok.Data;
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import java.io.Serializable;
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@Data
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public class GeneralResult implements Serializable {
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private String status;
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private String errors;
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private PageResult result;
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}
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@@ -0,0 +1,24 @@
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package com.njcn.jbsyncdata.pojo.result;
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import lombok.Data;
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import java.io.Serializable;
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import java.util.List;
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/**
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* 暂时未知 total 有什么用，看起来数据是一次性返回的
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*/
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@Data
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public class PageResult implements Serializable {
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private Integer current;
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private Integer total;
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private Integer pages;
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private Integer size;
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private List<CommonTelemetry> records;
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}
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@@ -0,0 +1,18 @@
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package com.njcn.jbsyncdata.pojo.result;
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import lombok.Data;
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import java.io.Serializable;
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@Data
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public class StatisticsData implements Serializable {
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private String measValue;
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private String dataTime;
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private String timeInterval;
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private String timeUnit;
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}
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@@ -1,10 +1,18 @@
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package com.njcn.jbsyncdata.service.impl;
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import cn.hutool.core.collection.CollectionUtil;
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import cn.hutool.core.date.DatePattern;
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import cn.hutool.core.date.DateTime;
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import cn.hutool.core.date.DateUtil;
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import cn.hutool.core.io.file.FileReader;
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import cn.hutool.core.text.StrPool;
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import cn.hutool.core.util.StrUtil;
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import cn.hutool.json.JSONObject;
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import cn.hutool.json.JSONUtil;
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import com.njcn.jbsyncdata.component.TokenComponent;
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import com.njcn.jbsyncdata.enums.MeasTypeEnum;
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import com.njcn.jbsyncdata.pojo.ExcelData;
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import com.njcn.jbsyncdata.pojo.result.TokenResult;
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import com.njcn.jbsyncdata.pojo.result.*;
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import com.njcn.jbsyncdata.service.IBusinessService;
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import com.njcn.jbsyncdata.util.RestTemplateUtil;
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import lombok.extern.slf4j.Slf4j;
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@@ -12,10 +20,7 @@ import org.springframework.http.ResponseEntity;
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import org.springframework.stereotype.Service;
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import javax.annotation.Resource;
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||||
import java.util.ArrayList;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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import java.util.*;
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||||
import java.util.stream.Collectors;
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import java.util.stream.Stream;
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@@ -50,9 +55,6 @@ public class BusinessServiceImpl implements IBusinessService {
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jsonObjectSub.set("termType", "");
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jsonObjectSub.set("measPointIds", new ArrayList<>());
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jsonObject.set("filter", jsonObjectSub);
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if (excelData.getStageID().equalsIgnoreCase("1502760751")) {
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log.error("组装后的json为：{}", jsonObject);
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}
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//组装好json开始发送请求
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Map<String, String> headers = new HashMap<>();
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headers.put("x-token", tokenWithRestTemplate.getAccess_token());
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@@ -81,23 +83,93 @@ public class BusinessServiceImpl implements IBusinessService {
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List<String> userId = Stream.of("160".concat(excelData.getGenerationUserID())).collect(Collectors.toList());
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jsonObjectSub.set("consNos", userId);
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jsonObjectSub.set("consType", 3);
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jsonObjectSub.set("astIds", new ArrayList<>());
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jsonObjectSub.set("astType", "");
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jsonObjectSub.set("psrIds", new ArrayList<>());
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jsonObjectSub.set("psrType", "");
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jsonObjectSub.set("measPointIds", new ArrayList<>());
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List<String> typeList = Stream.of("PhV_phsA","PhV_phsB","PhV_phsC").collect(Collectors.toList());
|
||||
//指标类型集合
|
||||
List<String> typeList = MeasTypeEnum.getMeasList();
|
||||
jsonObjectSub.set("telemetryTypes", typeList);
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||||
jsonObject.set("filter", jsonObjectSub);
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||||
if (excelData.getStageID().equalsIgnoreCase("2226675026")) {
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||||
log.error("组装后的json为：{}", jsonObject);
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||||
}
|
||||
//组装好json开始发送请求
|
||||
Map<String, String> headers = new HashMap<>();
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||||
headers.put("x-token", tokenWithRestTemplate.getAccess_token());
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||||
ResponseEntity<String> response = restTemplateUtil.post(tokenComponent.getUrl().concat("/realMeasCenter/measPoint/commonQuery"), headers, jsonObject, String.class);
|
||||
ResponseEntity<GeneralResult> response = restTemplateUtil.post(tokenComponent.getUrl().concat("/realMeasCenter/telemetry/commonQuery"), headers, jsonObject, GeneralResult.class);
|
||||
if (response.getStatusCodeValue() == 200 && response.getBody().getStatus().equalsIgnoreCase("000000")) {
|
||||
PageResult result = response.getBody().getResult();
|
||||
List<CommonTelemetry> records = result.getRecords();
|
||||
if (Objects.isNull(result) || CollectionUtil.isEmpty(result.getRecords())) {
|
||||
//日志输出：
|
||||
log.error("用户编号为：{}，无遥测数据；", excelData.getGenerationUserID());
|
||||
continue;
|
||||
}
|
||||
//处理各个record的数据，因用户下可能有多个测量点，按指标循环，默认采用第一个匹配上的做数据处理
|
||||
Map</*表名*/String, List<Map</*属性名*/String,/*数值*/String>>> typeData = new HashMap<>();
|
||||
for (String type : typeList) {
|
||||
MeasTypeEnum measTypeEnumByMeasType = MeasTypeEnum.getMeasTypeEnumByMeasType(type);
|
||||
for (CommonTelemetry commonTelemetry : records) {
|
||||
if (type.equalsIgnoreCase(commonTelemetry.getMeasTypeCode())) {
|
||||
List<StatisticsData> statisticsDataList = commonTelemetry.getTelemetryValue();
|
||||
List<Map</*属性名*/String,/*数值*/String>> influxData = new ArrayList<>();
|
||||
for (StatisticsData statisticsData : statisticsDataList) {
|
||||
Map<String, String> tempInfluxData = new HashMap<>();
|
||||
tempInfluxData.put("phasic_type", measTypeEnumByMeasType.getPhaseType());
|
||||
tempInfluxData.put("line_id", "160".concat(excelData.getGenerationUserID()));
|
||||
tempInfluxData.put("quality_flag", "0");
|
||||
tempInfluxData.put("value_type", "AVG");
|
||||
tempInfluxData.put("time", statisticsData.getDataTime());
|
||||
//为空则赋值为0，表中其他均为0
|
||||
tempInfluxData.put(measTypeEnumByMeasType.getFieldName(), StrUtil.isBlank(statisticsData.getMeasValue()) ? "0" : statisticsData.getMeasValue());
|
||||
influxData.add(tempInfluxData);
|
||||
}
|
||||
//measType@tableName:存在多个指标存储表名一致，避免数据覆盖；
|
||||
typeData.put(measTypeEnumByMeasType.getMeasType().concat(StrPool.AT).concat(measTypeEnumByMeasType.getTableName()), influxData);
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
log.error("请求接口，台区号为：{},结果为：{}", excelData.getStageID(), response);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
public static void main(String[] args) {
|
||||
String path = "C:\\Users\\83944\\Desktop\\test\\test.txt";
|
||||
FileReader fileReader = new FileReader(path);
|
||||
String jsonStr = fileReader.readString();
|
||||
GeneralResult result = JSONUtil.toBean(jsonStr, GeneralResult.class);
|
||||
List<CommonTelemetry> records = result.getResult().getRecords();
|
||||
//处理各个record的数据，因用户下可能有多个测量点，按指标循环，默认采用第一个匹配上的做数据处理
|
||||
Map</*表名*/String, List<Map</*属性名*/String,/*数值*/String>>> typeData = new HashMap<>();
|
||||
List<String> typeList = Stream.of("PhV_phsA", "PhV_phsB", "PhV_phsC").collect(Collectors.toList());
|
||||
for (String type : typeList) {
|
||||
MeasTypeEnum measTypeEnumByMeasType = MeasTypeEnum.getMeasTypeEnumByMeasType(type);
|
||||
for (CommonTelemetry commonTelemetry : records) {
|
||||
if (type.equalsIgnoreCase(commonTelemetry.getMeasTypeCode())) {
|
||||
List<StatisticsData> statisticsDataList = commonTelemetry.getTelemetryValue();
|
||||
List<Map</*属性名*/String,/*数值*/String>> influxData = new ArrayList<>();
|
||||
for (StatisticsData statisticsData : statisticsDataList) {
|
||||
Map<String, String> tempInfluxData = new HashMap<>();
|
||||
tempInfluxData.put("phasic_type", measTypeEnumByMeasType.getPhaseType());
|
||||
tempInfluxData.put("line_id", "1602514341899");
|
||||
tempInfluxData.put("quality_flag", "0");
|
||||
tempInfluxData.put("value_type", "AVG");
|
||||
tempInfluxData.put("time", statisticsData.getDataTime());
|
||||
//为空则赋值为0，表中其他均为0
|
||||
tempInfluxData.put(measTypeEnumByMeasType.getFieldName(), StrUtil.isBlank(statisticsData.getMeasValue()) ? "0" : statisticsData.getMeasValue());
|
||||
influxData.add(tempInfluxData);
|
||||
}
|
||||
typeData.put(measTypeEnumByMeasType.getMeasType().concat("@").concat(measTypeEnumByMeasType.getTableName()), influxData);
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
System.out.println(11);
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
@@ -0,0 +1,38 @@
|
||||
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));
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,48 @@
|
||||
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);
|
||||
}
|
||||
}
|
||||
443
src/main/java/com/njcn/jbsyncdata/util/PubUtils.java
Normal file
443
src/main/java/com/njcn/jbsyncdata/util/PubUtils.java
Normal file
@@ -0,0 +1,443 @@
|
||||
package com.njcn.jbsyncdata.util;
|
||||
|
||||
import cn.hutool.core.util.RandomUtil;
|
||||
import cn.hutool.core.util.StrUtil;
|
||||
import com.fasterxml.jackson.databind.DeserializationFeature;
|
||||
import com.fasterxml.jackson.databind.JavaType;
|
||||
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||
import com.fasterxml.jackson.databind.SerializationFeature;
|
||||
import com.fasterxml.jackson.databind.type.TypeFactory;
|
||||
import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.lang.reflect.Method;
|
||||
import java.lang.reflect.Type;
|
||||
import java.math.BigDecimal;
|
||||
import java.net.InetAddress;
|
||||
import java.net.UnknownHostException;
|
||||
import java.text.DateFormat;
|
||||
import java.text.SimpleDateFormat;
|
||||
import java.time.Instant;
|
||||
import java.time.LocalDate;
|
||||
import java.time.LocalDateTime;
|
||||
import java.time.format.DateTimeFormatter;
|
||||
import java.util.*;
|
||||
import java.util.concurrent.TimeUnit;
|
||||
import java.util.regex.Matcher;
|
||||
import java.util.regex.Pattern;
|
||||
|
||||
import static java.lang.Integer.parseInt;
|
||||
|
||||
|
||||
/**
|
||||
* @author hongawen
|
||||
* @version 1.0.0
|
||||
* @date 2021年04月12日 14:21
|
||||
*/
|
||||
public class PubUtils {
|
||||
|
||||
private final static ObjectMapper MAPPER = new ObjectMapper();
|
||||
|
||||
private static final String DATE_TIME = "yyyy-MM-dd HH:mm:ss";
|
||||
|
||||
private static final String DATE = "yyyy-MM-dd";
|
||||
|
||||
private static final String TIME = "HH:mm:ss";
|
||||
|
||||
|
||||
/**
|
||||
* 生成随机码，包含字母。--> 大写
|
||||
*
|
||||
* @param length 随机码长度
|
||||
*/
|
||||
public static String randomCode(int length) {
|
||||
return RandomUtil.randomString(length).toUpperCase(Locale.ENGLISH);
|
||||
}
|
||||
|
||||
|
||||
/****
|
||||
* ***** ***** 验证IP是否属于某个IP段 ipSection IP段（以'-'分隔） ip 所验证的IP号码 ***** *****
|
||||
**/
|
||||
public static boolean ipExistsInRange(String ip, String ipSection) {
|
||||
ipSection = ipSection.trim();
|
||||
ip = ip.trim();
|
||||
int idx = ipSection.indexOf('-');
|
||||
String beginIp = ipSection.substring(0, idx);
|
||||
String endIp = ipSection.substring(idx + 1);
|
||||
return getIp2long(beginIp) <= getIp2long(ip) && getIp2long(ip) <= getIp2long(endIp);
|
||||
}
|
||||
|
||||
private static long getIp2long(String ip) {
|
||||
ip = ip.trim();
|
||||
String[] ips = ip.split("\\.");
|
||||
long ip2long = 0L;
|
||||
for (int i = 0; i < 4; ++i) {
|
||||
ip2long = ip2long << 8 | parseInt(ips[i]);
|
||||
}
|
||||
return ip2long;
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取当前时间
|
||||
*
|
||||
* @author cdf
|
||||
* @date 2021/7/26
|
||||
*/
|
||||
public static String getNow() {
|
||||
DateFormat bf = new SimpleDateFormat("yyyyMMddHHmmss");
|
||||
return bf.format(new Date());
|
||||
}
|
||||
|
||||
/**
|
||||
* 毫秒转时间 ms:需要转换的毫秒时间
|
||||
*/
|
||||
public static Date ms2Date(Long ms) {
|
||||
Calendar c = Calendar.getInstance();
|
||||
c.setTimeInMillis(ms);
|
||||
return c.getTime();
|
||||
}
|
||||
|
||||
/**
|
||||
* 日期转字符串函数 date:需要转换的日期 strFormat:转换的格式(yyyy-MM-dd HH:mm:ss)
|
||||
*/
|
||||
public static String date2String(Date date, String strFormat){
|
||||
SimpleDateFormat format = new SimpleDateFormat(strFormat);
|
||||
|
||||
return format.format(date);
|
||||
}
|
||||
|
||||
/**
|
||||
* 获取当前web的IP
|
||||
*/
|
||||
public static String getLocalIp() {
|
||||
String host;
|
||||
try {
|
||||
host = InetAddress.getLocalHost().getHostAddress();
|
||||
} catch (UnknownHostException e) {
|
||||
e.printStackTrace();
|
||||
host = "127.0.0.1";
|
||||
}
|
||||
return host;
|
||||
}
|
||||
|
||||
/**
|
||||
* 将JSON转为实体对象
|
||||
*
|
||||
* @param jsonStr json
|
||||
* @param targetType 对象类型
|
||||
* @param <T> 对象
|
||||
*/
|
||||
public static <T> T json2obj(String jsonStr, Type targetType) {
|
||||
try {
|
||||
JavaType javaType = TypeFactory.defaultInstance().constructType(targetType);
|
||||
MAPPER.registerModule(new JavaTimeModule());
|
||||
MAPPER.disable(SerializationFeature.WRITE_DATES_AS_TIMESTAMPS);
|
||||
return MAPPER.readValue(jsonStr, javaType);
|
||||
} catch (IOException e) {
|
||||
throw new IllegalArgumentException("将JSON转换为对象时发生错误:" + jsonStr, e);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 将实体对象转为JSON
|
||||
*
|
||||
* @param object 实体对象
|
||||
*/
|
||||
public static String obj2json(Object object) {
|
||||
try {
|
||||
MAPPER.configure(DeserializationFeature.ACCEPT_SINGLE_VALUE_AS_ARRAY, true);
|
||||
return MAPPER.writeValueAsString(object);
|
||||
} catch (IOException e) {
|
||||
throw new IllegalArgumentException("将将实体对象转为JSON时发生错误:" + object, e);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* 判断一个数字是否在区间内
|
||||
*
|
||||
* @param current 待判断数字
|
||||
* @param min 最小值
|
||||
* @param max 最大值
|
||||
*/
|
||||
public static boolean rangeInDefined(int current, int min, int max) {
|
||||
return Math.max(min, current) == Math.min(current, max);
|
||||
}
|
||||
|
||||
/**
|
||||
* 将起始日期字符串 yyyy-MM-dd 转为 yyyy-MM-dd HH:mm:ss的LocalDateTime
|
||||
*/
|
||||
public static LocalDateTime beginTimeToLocalDateTime(String beginTime) {
|
||||
beginTime = beginTime + StrUtil.SPACE + "00:00:00";
|
||||
DateTimeFormatter dateTimeFormatter = DateTimeFormatter.ofPattern(DATE_TIME);
|
||||
return LocalDateTime.parse(beginTime, dateTimeFormatter);
|
||||
}
|
||||
|
||||
/**
|
||||
* 将截止日期字符串 yyyy-MM-dd 转为 yyyy-MM-dd HH:mm:ss的LocalDateTime
|
||||
*/
|
||||
public static LocalDateTime endTimeToLocalDateTime(String endTime) {
|
||||
endTime = endTime + StrUtil.SPACE + "23:59:59";
|
||||
DateTimeFormatter dateTimeFormatter = DateTimeFormatter.ofPattern(DATE_TIME);
|
||||
return LocalDateTime.parse(endTime, dateTimeFormatter);
|
||||
}
|
||||
|
||||
/**
|
||||
* 将字符串日期转为LocalDate日期（只用于日期转换）
|
||||
*/
|
||||
public static LocalDate localDateFormat(String time) {
|
||||
DateTimeFormatter dateTimeFormatter = DateTimeFormatter.ofPattern(DATE);
|
||||
return LocalDate.parse(time, dateTimeFormatter);
|
||||
}
|
||||
|
||||
public static LocalDateTime localDateTimeFormat(String time) {
|
||||
DateTimeFormatter dateTimeFormatter = DateTimeFormatter.ofPattern(DATE_TIME);
|
||||
return LocalDateTime.parse(time, dateTimeFormatter);
|
||||
}
|
||||
|
||||
|
||||
public static List<String> getStartTimeEndTime(String beginDate, String endDate) throws Exception {
|
||||
|
||||
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd");
|
||||
Calendar cal = Calendar.getInstance();
|
||||
cal.setTime(sdf.parse(beginDate));
|
||||
List<String> startTimeEndTime = null;
|
||||
for (long d = cal.getTimeInMillis(); d <= sdf.parse(endDate).getTime(); d = getDplaus(cal)) {
|
||||
startTimeEndTime.add(sdf.format(d));
|
||||
}
|
||||
return startTimeEndTime;
|
||||
}
|
||||
|
||||
public static long getDplaus(Calendar c) {
|
||||
c.set(Calendar.DAY_OF_MONTH, c.get(Calendar.DAY_OF_MONTH) + 1);
|
||||
return c.getTimeInMillis();
|
||||
}
|
||||
|
||||
public static String comFlag(Integer comFlag) {
|
||||
switch (comFlag) {
|
||||
case 0:
|
||||
return "中断";
|
||||
case 1:
|
||||
return "正常";
|
||||
default:
|
||||
return "";
|
||||
}
|
||||
}
|
||||
|
||||
public static String runFlag(Integer runFlag) {
|
||||
switch (runFlag) {
|
||||
case 0:
|
||||
return "投运";
|
||||
case 1:
|
||||
return "热备用";
|
||||
case 2:
|
||||
return "停运";
|
||||
default:
|
||||
return "";
|
||||
}
|
||||
}
|
||||
|
||||
public static Integer getRunFlag(String runFlag) {
|
||||
switch (runFlag) {
|
||||
case "投运":
|
||||
return 0;
|
||||
case "热备用":
|
||||
return 1;
|
||||
case "停运":
|
||||
return 2;
|
||||
default:
|
||||
return -1;
|
||||
}
|
||||
}
|
||||
public static Double getDefectSeverity(String defectSeverity) {
|
||||
switch (defectSeverity) {
|
||||
case "轻缺陷":
|
||||
return 0.02;
|
||||
case "较重缺陷":
|
||||
return 0.12;
|
||||
case "严重缺陷":
|
||||
return 0.42;
|
||||
default:
|
||||
return 0.00;
|
||||
}
|
||||
}
|
||||
|
||||
public static String ptType(Integer ptType) {
|
||||
switch (ptType) {
|
||||
case 0:
|
||||
return "星型接线";
|
||||
case 1:
|
||||
return "三角型接线";
|
||||
case 2:
|
||||
return "开口三角型接线";
|
||||
default:
|
||||
return "";
|
||||
}
|
||||
}
|
||||
|
||||
public static Integer ptTypeName(String ptType) {
|
||||
switch (ptType) {
|
||||
case "星型接线":
|
||||
return 0;
|
||||
case "三角型接线":
|
||||
return 1;
|
||||
case "开口三角型接线":
|
||||
return 2;
|
||||
default:
|
||||
return -1;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 将当前时间的秒数置为0
|
||||
*
|
||||
* @param date 时间
|
||||
*/
|
||||
public static Date getSecondsAsZero(Date date) {
|
||||
Calendar calendar = Calendar.getInstance();
|
||||
calendar.setTime(date);
|
||||
calendar.set(Calendar.SECOND, 0);
|
||||
return calendar.getTime();
|
||||
}
|
||||
|
||||
/**
|
||||
* 根据起始时间和截止时间返回yyyy-MM-dd的日期，
|
||||
*
|
||||
* @param startTime 起始时间
|
||||
* @param endTime 截止时间
|
||||
*/
|
||||
public static List<String> getTimes(Date startTime, Date endTime) {
|
||||
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd");
|
||||
List<String> result = new ArrayList<>();
|
||||
Calendar start = Calendar.getInstance();
|
||||
start.setTime(startTime);
|
||||
Calendar end = Calendar.getInstance();
|
||||
end.setTime(endTime);
|
||||
end.set(end.get(Calendar.YEAR), end.get(Calendar.MONTH), end.get(Calendar.DAY_OF_MONTH), 0, 0, 0);
|
||||
long interval = end.getTimeInMillis() - start.getTimeInMillis();
|
||||
result.add(sdf.format(start.getTime()));
|
||||
if (interval > 0) {
|
||||
int days = (int) (interval / 86400000);
|
||||
for (int i = 0; i < days; i++) {
|
||||
start.add(Calendar.DAY_OF_MONTH, 1);
|
||||
result.add(sdf.format(start.getTime()));
|
||||
}
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
/***
|
||||
* 将instant转为date 处理8小时误差
|
||||
* @author hongawen
|
||||
* @date 2023/7/20 15:58
|
||||
* @param instant 日期
|
||||
* @return Instant
|
||||
*/
|
||||
public static Date instantToDate(Instant instant){
|
||||
return Date.from(instant.minusMillis(TimeUnit.HOURS.toMillis(8)));
|
||||
}
|
||||
|
||||
/***
|
||||
* 将date转为instant 处理8小时误差
|
||||
* @author hongawen
|
||||
* @date 2023/7/20 15:58
|
||||
* @param date 日期
|
||||
* @return Instant
|
||||
*/
|
||||
public static Instant dateToInstant(Date date){
|
||||
return date.toInstant().plusMillis(TimeUnit.HOURS.toMillis(8));
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* 根据参数返回float的四舍五入值
|
||||
*
|
||||
* @param i 保留的位数
|
||||
* @param value float原值
|
||||
*/
|
||||
public static Float floatRound(int i, float value) {
|
||||
BigDecimal bp = new BigDecimal(value);
|
||||
return bp.setScale(i, BigDecimal.ROUND_HALF_UP).floatValue();
|
||||
}
|
||||
|
||||
//*****************************************xuyang添加,用于App********************************************************
|
||||
/**
|
||||
* 正则表达式字符串
|
||||
* 要匹配的字符串
|
||||
*
|
||||
* @return 如果str 符合 regex的正则表达式格式,返回true, 否则返回 false;
|
||||
*/
|
||||
public static boolean match(String regex, String str) {
|
||||
Pattern pattern = Pattern.compile(regex);
|
||||
Matcher matcher = pattern.matcher(str);
|
||||
return matcher.matches();
|
||||
}
|
||||
|
||||
/**
|
||||
* 生成随机推荐码
|
||||
*/
|
||||
public static String getCode(Integer number){
|
||||
final String BASIC = "123456789AaBbCcDdEeFfGgHhIiJjKkLlMmNnOoPpQqRrSsTtUuVvWwXxYyZz";
|
||||
char[] basicArray = BASIC.toCharArray();
|
||||
Random random = new Random();
|
||||
char[] result = new char[number];
|
||||
for (int i = 0; i < result.length; i++) {
|
||||
int index = random.nextInt(100) % (basicArray.length);
|
||||
result[i] = basicArray[index];
|
||||
}
|
||||
return new String(result);
|
||||
}
|
||||
|
||||
/**
|
||||
* 将字节数组转成Float数组
|
||||
* @param bytes
|
||||
* @return
|
||||
*/
|
||||
public static List<Float> byteArrayToFloatList(byte[] bytes){
|
||||
List<Float> d = new ArrayList<>(bytes.length/8);
|
||||
byte[] doubleBuffer = new byte[4];
|
||||
for(int j = 0; j < bytes.length; j += 4) {
|
||||
System.arraycopy(bytes, j, doubleBuffer, 0, doubleBuffer.length);
|
||||
d.add(bytes2Float(doubleBuffer));
|
||||
}
|
||||
return d;
|
||||
}
|
||||
|
||||
public static float bytes2Float(byte[] arr) {
|
||||
int accum = 0;
|
||||
accum = accum|(arr[0] & 0xff);
|
||||
accum = accum|(arr[1] & 0xff) << 8;
|
||||
accum = accum|(arr[2] & 0xff) << 16;
|
||||
accum = accum|(arr[3] & 0xff) << 24;
|
||||
return Float.intBitsToFloat(accum);
|
||||
}
|
||||
|
||||
/**
|
||||
* 将字节数组转成Double数组
|
||||
* @param arr
|
||||
* @return
|
||||
*/
|
||||
public static List<Double> byteArrayToDoubleList(byte[] arr){
|
||||
List<Double> d = new ArrayList<>(arr.length/8);
|
||||
byte[] doubleBuffer = new byte[8];
|
||||
for(int j = 0; j < arr.length; j += 8) {
|
||||
System.arraycopy(arr, j, doubleBuffer, 0, doubleBuffer.length);
|
||||
d.add(bytes2Double(doubleBuffer));
|
||||
}
|
||||
return d;
|
||||
}
|
||||
|
||||
/**
|
||||
* 将byte转换成double
|
||||
* @param arr
|
||||
* @return
|
||||
*/
|
||||
public static double bytes2Double(byte[] arr) {
|
||||
long value = 0;
|
||||
for (int i = 0; i < 8; i++) {
|
||||
value |= ((long) (arr[i] & 0xff)) << (8 * i);
|
||||
}
|
||||
return Double.longBitsToDouble(value);
|
||||
}
|
||||
//***************************************************添加结束********************************************************
|
||||
}
|
||||
@@ -38,6 +38,12 @@ spring:
|
||||
max-request-size: 100MB
|
||||
max-file-size: 500MB
|
||||
enabled: true
|
||||
influx:
|
||||
url: http://127.0.0.1:8086
|
||||
user: admin
|
||||
password: 123456
|
||||
database: pqsbase_sjzx
|
||||
mapper-location: com.njcn.jbsyncdata.imapper
|
||||
|
||||
|
||||
|
||||
|
||||
@@ -1,13 +1,126 @@
|
||||
package com.njcn.jbsyncdata;
|
||||
|
||||
import cn.hutool.core.date.DatePattern;
|
||||
import cn.hutool.core.date.DateUtil;
|
||||
import cn.hutool.core.io.file.FileReader;
|
||||
import cn.hutool.core.text.StrPool;
|
||||
import cn.hutool.core.util.StrUtil;
|
||||
import cn.hutool.json.JSONUtil;
|
||||
import com.njcn.influx.query.InfluxQueryWrapper;
|
||||
import com.njcn.influx.utils.InfluxDbUtils;
|
||||
import com.njcn.jbsyncdata.enums.MeasTypeEnum;
|
||||
import com.njcn.jbsyncdata.imapper.DataVMapper;
|
||||
import com.njcn.jbsyncdata.pojo.po.DataV;
|
||||
import com.njcn.jbsyncdata.pojo.result.CommonTelemetry;
|
||||
import com.njcn.jbsyncdata.pojo.result.GeneralResult;
|
||||
import com.njcn.jbsyncdata.pojo.result.StatisticsData;
|
||||
import org.influxdb.InfluxDB;
|
||||
import org.influxdb.dto.BatchPoints;
|
||||
import org.influxdb.dto.Point;
|
||||
import org.junit.jupiter.api.Test;
|
||||
import org.springframework.boot.test.context.SpringBootTest;
|
||||
|
||||
import javax.annotation.Resource;
|
||||
import java.time.Instant;
|
||||
import java.util.*;
|
||||
import java.util.concurrent.TimeUnit;
|
||||
import java.util.stream.Collectors;
|
||||
import java.util.stream.Stream;
|
||||
|
||||
@SpringBootTest
|
||||
class JbSyncdataApplicationTests {
|
||||
|
||||
@Resource
|
||||
private InfluxDbUtils influxDbUtils;
|
||||
|
||||
@Test
|
||||
void contextLoads() {
|
||||
void testInfluxInsert() {
|
||||
String path = "C:\\Users\\83944\\Desktop\\test\\test.txt";
|
||||
FileReader fileReader = new FileReader(path);
|
||||
String jsonStr = fileReader.readString();
|
||||
GeneralResult result = JSONUtil.toBean(jsonStr, GeneralResult.class);
|
||||
List<CommonTelemetry> records = result.getResult().getRecords();
|
||||
//处理各个record的数据，因用户下可能有多个测量点，按指标循环，默认采用第一个匹配上的做数据处理
|
||||
Map</*表名*/String, List<Map</*属性名*/String,/*数值*/String>>> typeData = new HashMap<>();
|
||||
List<String> typeList = Stream.of("PhV_phsA", "PhV_phsB", "PhV_phsC").collect(Collectors.toList());
|
||||
for (String type : typeList) {
|
||||
MeasTypeEnum measTypeEnumByMeasType = MeasTypeEnum.getMeasTypeEnumByMeasType(type);
|
||||
for (CommonTelemetry commonTelemetry : records) {
|
||||
if (type.equalsIgnoreCase(commonTelemetry.getMeasTypeCode())) {
|
||||
List<StatisticsData> statisticsDataList = commonTelemetry.getTelemetryValue();
|
||||
List<Map</*属性名*/String,/*数值*/String>> influxData = new ArrayList<>();
|
||||
for (StatisticsData statisticsData : statisticsDataList) {
|
||||
Map<String, String> tempInfluxData = new HashMap<>();
|
||||
tempInfluxData.put("phasic_type", measTypeEnumByMeasType.getPhaseType());
|
||||
tempInfluxData.put("line_id", "1602514341899");
|
||||
tempInfluxData.put("quality_flag", "0");
|
||||
tempInfluxData.put("value_type", "AVG");
|
||||
tempInfluxData.put("time", statisticsData.getDataTime());
|
||||
//为空则赋值为0，表中其他均为0
|
||||
tempInfluxData.put(measTypeEnumByMeasType.getFieldName(), StrUtil.isBlank(statisticsData.getMeasValue()) ? "0" : statisticsData.getMeasValue());
|
||||
influxData.add(tempInfluxData);
|
||||
}
|
||||
typeData.put(measTypeEnumByMeasType.getMeasType().concat(StrPool.AT).concat(measTypeEnumByMeasType.getTableName()), influxData);
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
List<String> sqlList = new ArrayList<>();
|
||||
Set<String> tableNames = typeData.keySet();
|
||||
for (String tableName : tableNames) {
|
||||
List<Map<String, String>> data = typeData.get(tableName);
|
||||
tableName = tableName.substring(tableName.indexOf(StrPool.AT) + 1);
|
||||
//需要转换的实体类class类
|
||||
for (Map<String, String> datum : data) {
|
||||
Map<String, String> tags = new HashMap<>();
|
||||
tags.put("phasic_type", datum.get("phasic_type"));
|
||||
datum.remove("phasic_type");
|
||||
tags.put("line_id", datum.get("line_id"));
|
||||
datum.remove("line_id");
|
||||
tags.put("quality_flag", datum.get("quality_flag"));
|
||||
datum.remove("quality_flag");
|
||||
tags.put("value_type", datum.get("value_type"));
|
||||
datum.remove("value_type");
|
||||
String time = datum.get("time");
|
||||
datum.remove("time");
|
||||
//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
|
||||
Map<String, Object> fields = new HashMap<>();
|
||||
Set<String> fieldNames = datum.keySet();
|
||||
for (String fieldName : fieldNames) {
|
||||
fields.put(fieldName, Double.parseDouble(datum.get(fieldName)));
|
||||
}
|
||||
Point point = influxDbUtils.pointBuilder(tableName, DateUtil.parse(time, DatePattern.NORM_DATETIME_FORMATTER).getTime() + 8 * 3600 * 1000, TimeUnit.MILLISECONDS, tags, fields);
|
||||
BatchPoints batchPoints = BatchPoints.database(influxDbUtils.getDbName()).retentionPolicy("").consistency(InfluxDB.ConsistencyLevel.ALL).build();
|
||||
batchPoints.point(point);
|
||||
sqlList.add(batchPoints.lineProtocol());
|
||||
|
||||
}
|
||||
}
|
||||
influxDbUtils.batchInsert(influxDbUtils.getDbName(), "", InfluxDB.ConsistencyLevel.ALL, TimeUnit.MILLISECONDS, sqlList);
|
||||
System.out.println(11);
|
||||
}
|
||||
|
||||
|
||||
@Resource
|
||||
private DataVMapper dataVMapper;
|
||||
|
||||
@Test
|
||||
public void testInflux() {
|
||||
DataV dataV = new DataV();
|
||||
dataV.setTime(Instant.now());
|
||||
dataV.setLineId("123");
|
||||
dataV.setPhasicType("123");
|
||||
dataV.setQualityFlag("123");
|
||||
dataV.setValueType("123");
|
||||
dataVMapper.insertOne(dataV);
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testQueryInflux() {
|
||||
InfluxQueryWrapper queryWrapper = new InfluxQueryWrapper(DataV.class);
|
||||
List<DataV> dataVList = dataVMapper.selectDataV(queryWrapper);
|
||||
System.out.println(1);
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user