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2 Commits

Author SHA1 Message Date
bc3cd91c6a 文件下载 2023-03-07 13:53:43 +08:00
4b48e7f55e 添加新功能
报告生成
2022-12-02 09:43:07 +08:00
24 changed files with 821 additions and 248 deletions

View File

@ -24,6 +24,8 @@ public class RuoYiApplication
{
// System.setProperty("spring.devtools.restart.enabled", "false");
SpringApplication.run(RuoYiApplication.class, args);
System.out.println();

View File

@ -1,5 +1,6 @@
package com.ruoyi.web.controller.shate;
import ch.qos.logback.classic.pattern.LineOfCallerConverter;
import com.fasterxml.jackson.datatype.jsr310.deser.InstantDeserializer;
import com.ruoyi.common.core.domain.AjaxResult;
import com.ruoyi.common.utils.BarChart;
@ -8,10 +9,14 @@ import com.ruoyi.common.utils.shate.PageUtils;
import com.ruoyi.system.domain_shate.*;
import com.ruoyi.system.service_shate.*;
import com.sun.jna.platform.unix.solaris.LibKstat;
import io.swagger.annotations.Api;
import io.swagger.v3.oas.models.security.SecurityScheme;
import net.sf.jsqlparser.statement.create.procedure.CreateProcedure;
import org.apache.poi.hssf.usermodel.HeaderFooter;
import org.apache.poi.xwpf.usermodel.XWPFDocument;
import org.aspectj.weaver.loadtime.Aj;
import org.openxmlformats.schemas.wordprocessingml.x2006.main.CTSectPr;
import org.springframework.boot.autoconfigure.web.ServerProperties;
import org.springframework.util.ResourceUtils;
import org.springframework.web.bind.annotation.*;
@ -27,8 +32,11 @@ import javax.xml.parsers.DocumentBuilder;
import javax.xml.parsers.DocumentBuilderFactory;
import java.io.*;
import java.lang.reflect.AnnotatedArrayType;
import java.lang.reflect.Parameter;
import java.text.DecimalFormat;
import java.text.SimpleDateFormat;
import java.util.*;
import java.util.stream.Collectors;
/**
* @Author: JinSheng Song
@ -62,6 +70,8 @@ public class DateUploadController {
private String ShpPaths;
private String MapExePath;
@RequestMapping(value = "/SelectUpload", method = {RequestMethod.POST})
public AjaxResult SelectUpload(@RequestBody paging paging) {
@ -106,22 +116,6 @@ public class DateUploadController {
@RequestMapping(value = "/delUpload", method = {RequestMethod.POST})
public AjaxResult DelUpload(@RequestBody UplodFile uplodFile) {
return delUploadFile(uplodFile.getId());
// List<Integer> ids=uplodFile.getId();
// Integer Seeding=0;
// UploadFile file=new UploadFile();
// for (int i=0; i<ids.size();i++)
// {
// DateUpload value= service.selectDel(ids.get(i));
//
// String[] strs2=value.getFileName().split("\\_");
//
//// file.UploadFile1(strs2[1],value.getZone(),value.getDataTime());
//
// Seeding= service.DelUpload(ids.get(i));
// if (Seeding==0){return AjaxResult.error("没有此id单据"+ids.get(i));}
// }
//
// return AjaxResult.success(Seeding);
}
@ -358,6 +352,37 @@ public class DateUploadController {
return dateUpload;
}
public void callExe1(String fileName, String filePath) {
BufferedReader bufferedReader = null;
Process proc = null;
try {
System.out.println("MapExePath路径:" + MapExePath);
String[] cmd = {MapExePath, fileName, filePath + ".tif", FilePaths + "jpg/"};
System.out.println("调用方法名:" + MapExePath + " 文件名:" + fileName + " 调用tif文件" + filePath + ".tif" + " 生成jpg路径" + FilePaths + "jpg/");
ProcessBuilder pb = new ProcessBuilder();
pb.command(cmd);
proc = pb.start();
System.out.println("Start calling algorithm(image)");
bufferedReader = new BufferedReader(new InputStreamReader(proc.getErrorStream()));
String aa = null;
String line = null;
while ((line = bufferedReader.readLine()) != null) {
aa = aa + line;
}
System.out.println(aa);
} catch (IOException e) {
System.out.println(e.getMessage());
e.printStackTrace();
}
}
/**
* 调用exe
*
@ -382,7 +407,7 @@ public class DateUploadController {
ProcessBuilder pb = new ProcessBuilder();
pb.command(cmd);
proc = pb.start();
System.out.println("Start calling algorithm");
System.out.println("Start calling algorithm(tif)");
bufferedReader = new BufferedReader(new InputStreamReader(proc.getErrorStream()));
String aa = null;
@ -417,6 +442,7 @@ public class DateUploadController {
@Override
public void run() {
callExe1(FileName, FilePath);
callExe(FileName, FilePath, ShpPath);
}
}
@ -484,6 +510,7 @@ public class DateUploadController {
return AjaxResult.success("成功!");
}
public void readXml() {
try {
// 创建解析器工厂
@ -518,6 +545,8 @@ public class DateUploadController {
this.FilePaths = childNodes.item(5).getTextContent().trim();
this.ShpPaths = childNodes.item(7).getTextContent().trim();
this.MapExePath = childNodes.item(9).getTextContent().trim();
}
}
}
@ -526,18 +555,118 @@ public class DateUploadController {
}
}
/**
* 修改全部区域名称
* @return
*/
@RequestMapping(value = "/updateAllRegionName",method = {RequestMethod.POST})
public AjaxResult updateAllRegionName(@RequestBody RegionName regionName)
{
return landUseServices.updateAllRegionName(regionName.getRegionName());
}
/**
* 查询所有区域名称
* @return
*/
@RequestMapping(value = "/queryAllRegionName", method = {RequestMethod.GET})
public AjaxResult queryAllRegionName() {
try {
List<String> regionNameList = new ArrayList<>();
List<LandUse> landUses = landUseServices.sqlSeeding1(null, null);
UplodFile main = landUseServices.mainClass(null, null);
if (main == null) {
return null;
}
if (landUses != null) {
landUses.forEach(e -> {
regionNameList.add(e.getRegionName());
});
}
if (main.getWaterFactors() != null) {
main.getWaterFactors().forEach(e -> {
regionNameList.add(e.getRegionName());
});
}
if (main.getRoadFactors() != null) {
main.getRoadFactors().forEach(e -> {
regionNameList.add(e.getRegionName());
});
}
if (main.getSoilMoistures() != null) {
main.getSoilMoistures().forEach(e -> {
regionNameList.add(e.getRegionName());
});
}
if (main.getSoilSalinizations() != null) {
main.getSoilSalinizations().forEach(e -> {
regionNameList.add(e.getRegionName());
});
}
if (main.getSoilDesertifications() != null) {
main.getSoilDesertifications().forEach(e -> {
regionNameList.add(e.getRegionName());
});
}
if (main.getAspects() != null) {
main.getAspects().forEach(e -> {
regionNameList.add(e.getRegionName());
});
}
if (main.getSlopes() != null) {
main.getSlopes().forEach(e -> {
regionNameList.add(e.getRegionName());
});
}
if (main.getAltitudes() != null) {
main.getAltitudes().forEach(e -> {
regionNameList.add(e.getRegionName());
});
}
if (main.getInformation() != null) {
main.getInformation().forEach(e -> {
regionNameList.add(e.getRegionName());
});
}
if (main.getPlantingSuitabilities() != null) {
main.getPlantingSuitabilities().forEach(e -> {
regionNameList.add(e.getRegionName());
});
}
if (main.getVegetationHealths() != null) {
main.getVegetationHealths().forEach(e -> {
regionNameList.add(e.getRegionName());
});
}
List<String> regionNameLists = regionNameList.stream().distinct().collect(Collectors.toList());
Collections.sort(regionNameLists);
return AjaxResult.success(regionNameLists);
} catch (Exception e) {
return AjaxResult.error(e.getMessage());
}
}
/**
* 导出Word
*
* @param
*/
@RequestMapping(value = "/exportWord1", method = {RequestMethod.GET})
@ResponseBody
public void exportWord1(HttpServletResponse response, HttpServletRequest request) throws Exception {
String [] zoneList=new String[]{"01","02","03"};
@RequestMapping(value = "/exportWord1", method = {RequestMethod.POST})
public AjaxResult exportWord1(HttpServletResponse response, HttpServletRequest request, @RequestBody WordVo wordVo) {
try {
readXml();
String[] zoneList = wordVo.getZoneList();
//接受前端传来的数据
String year = "2022";
String[] years = wordVo.getYear();
String filePath = FilePaths + "jpg/";
for (String year : years) {
String zoneString = "";
for (String zone : zoneList) {
zone += " | ";
zoneString += zone;
}
zoneString = zoneString.substring(0, zoneString.length() - 3);
//创建文本对象
CustomXWPFDocument docxDocument = new CustomXWPFDocument();
//创建标题
@ -546,147 +675,203 @@ public class DateUploadController {
BarChart.createFirstLevelTopic(docxDocument, "1.Background information");
//创建第一个段落的内容
BarChart.createParagraphAndInsertWord(docxDocument, "Date time: " + year);
String zoneString="";
for (String zone:zoneList){
zone+=" | ";
zoneString+=zone;
}
zoneString=zoneString.substring(0,zoneString.length()-3);
//创建页眉页脚
BarChart.createHeader(docxDocument, "Evaluation report of planting monitoring in ITBA Nature Reserve");
BarChart.createParagraphAndInsertWord(docxDocument, "Evaluation area: " + zoneString);
Integer number = 0;
for (int i = 0; i < zoneList.length; i++) {
String zone = zoneList[i];
//2.1
BarChart.createFirstLevelTopic(docxDocument, i + 2 + ". Results of remote sensing monitoring of planting suitability" + "( zone:" + zone + ")");
//土地利用类型
BarChart.createSecondLevelTopic(docxDocument, i+2+".1. Monitoring results of land use types");
BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg");
BarChart.setPicTitle(docxDocument, "Figure "+(number+1)+" Spatial distribution data of land use types");
//绘制土地利用类型图表
List<LandUse> landUses = landUseServices.sqlSeeding1(zone, year);
UplodFile main = landUseServices.mainClass(zone, year);
//土地利用类型
BarChart.createSecondLevelTopic(docxDocument, i + 2 + ".1. Monitoring results of land use types");
BarChart.insertPic(docxDocument, filePath + landUses.get(1).getProductCode3() + ".jpg");
BarChart.setPicTitle(docxDocument, "Figure " + (number + 1) + " Spatial distribution data of land use types");
//绘制土地利用类型图表
//x轴
String[] xAxisData = new String[]{"Fields", "Buildings", "Roads", "Water", "Forest", "Grass", "Soil", "Desert", "Rocks", "Other"};
//y轴
Double[] yAxisData = new Double[]{landUses.get(0).getArea(), landUses.get(1).getArea(), landUses.get(2).getArea(), landUses.get(3).getArea(), landUses.get(4).getArea(), landUses.get(5).getArea(), landUses.get(6).getArea(), landUses.get(7).getArea(), landUses.get(8).getArea(), landUses.get(9).getArea()};
Double[] yAxisData = new Double[]{BarChart.fun(landUses.get(2).getArea() * 0.01),
BarChart.fun(landUses.get(0).getArea() * 0.01),
BarChart.fun(landUses.get(6).getArea() * 0.01),
BarChart.fun(landUses.get(9).getArea() * 0.01),
BarChart.fun(landUses.get(3).getArea() * 0.01),
BarChart.fun(landUses.get(4).getArea() * 0.01),
BarChart.fun(landUses.get(8).getArea() * 0.01),
BarChart.fun(landUses.get(1).getArea() * 0.01),
BarChart.fun(landUses.get(7).getArea() * 0.01),
BarChart.fun(landUses.get(5).getArea() * 0.01)};
BarChart.drawTable(docxDocument, xAxisData, yAxisData);//标题2图标
BarChart.setPicTitle(docxDocument, "Figure " + (number + 2) + " Statistical data on land use types");
BarChart.createParagraphAndInsertWord(docxDocument, "In "+zone+" region, the total area of field is "+landUses.get(0).getArea()+" hm², the building is "+landUses.get(1).getArea()+" hm², the road is "+landUses.get(2).getArea()+" hm², the water is "+landUses.get(3).getArea()+" hm², the forest is "+landUses.get(4).getArea()+" hm², the grass is "+landUses.get(5).getArea()+" hm², the soil is "+landUses.get(6).getArea()+" hm², the desert is "+landUses.get(7).getArea()+" hm², the rock is "+landUses.get(8).getArea()+" hm², and other land use types are "+landUses.get(9).getArea()+" hm².");
BarChart.createParagraphAndInsertWord(docxDocument, "In " + zone + " region, the total area of field is "
+ BarChart.fun(landUses.get(2).getArea() * 0.01) + " km², the building is " + BarChart.fun(landUses.get(0).getArea() * 0.01) +
" km², the road is " + BarChart.fun(landUses.get(6).getArea() * 0.01) +
" km², the water is " + BarChart.fun(landUses.get(9).getArea() * 0.01) +
" km², the forest is " + BarChart.fun(landUses.get(3).getArea() * 0.01) +
" km², the grass is " + BarChart.fun(landUses.get(4).getArea() * 0.01) +
" km², the soil is " + BarChart.fun(landUses.get(8).getArea() * 0.01) +
" km², the desert is " + BarChart.fun(landUses.get(1).getArea() * 0.01) +
" km², the rock is " + BarChart.fun(landUses.get(7).getArea() * 0.01) +
" km², and other land use types are " + BarChart.fun(landUses.get(5).getArea() * 0.01) + " km².");
BarChart.createSecondLevelTopic(docxDocument, i + 2 + ".2 Monitoring results of planting suitability evaluation index");
//2.2.1海拔坡向坡度
//海拔
BarChart.createSecondLevelTopic(docxDocument, i + 2 + ".2.1. Monitoring results of terrain index");
BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg");
BarChart.insertPic(docxDocument, filePath + main.getAltitudes().get(0).getProductCode2() + ".jpg");
BarChart.setPicTitle(docxDocument, "Figure " + (number + 3) + " Spatial distribution data of altitude");
//绘制折线图(已取消)
String[] xAxis = new String[]{"<400", "400-600", "600-100", "1000-1500", ">1500"};//x轴
Double[] yAxis = new Double[]{main.getAltitudes().get(0).getLevel1(),
main.getAltitudes().get(0).getLevel2(), main.getAltitudes().get(0).getLevel3(),
main.getAltitudes().get(0).getLevel4(), main.getAltitudes().get(0).getLevel5()};//y轴
Double[] yAxis = new Double[]{BarChart.fun(main.getAltitudes().get(0).getLevel1() * 0.01),
BarChart.fun(main.getAltitudes().get(0).getLevel2() * 0.01),
BarChart.fun(main.getAltitudes().get(0).getLevel3() * 0.01),
BarChart.fun(main.getAltitudes().get(0).getLevel4() * 0.01),
BarChart.fun(main.getAltitudes().get(0).getLevel5() * 0.01)};//y轴
BarChart.drawTable(docxDocument, xAxis, yAxis);
BarChart.setPicTitle(docxDocument, "Figure " + (number + 4) + " Classification statistics of altitude");
BarChart.createParagraphAndInsertWord(docxDocument, "In " + zone + " region, the area with an altitude lower than 400m is " + main.getAltitudes().get(0).getLevel1() + " hm², the area with 400-600m is " + main.getAltitudes().get(0).getLevel2() + " hm², the area with 600-1000m is " + main.getAltitudes().get(0).getLevel3() + " hm², and the area with 1000-1500m is " + main.getAltitudes().get(0).getLevel4() + " hm². The area with an altitude higher than 1500m is " + main.getAltitudes().get(0).getLevel5() + " hm².");
BarChart.createParagraphAndInsertWord(docxDocument, "In " + zone + " region, the area with an altitude lower than 400m is " + BarChart.fun(main.getAltitudes().get(0).getLevel1() * 0.01) + " km², the area with 400-600m is " + BarChart.fun(main.getAltitudes().get(0).getLevel2() * 0.01) + " km², the area with 600-1000m is " + BarChart.fun(main.getAltitudes().get(0).getLevel3() * 0.01) + " km², and the area with 1000-1500m is " + BarChart.fun(main.getAltitudes().get(0).getLevel4() * 0.01) + " km². The area with an altitude higher than 1500m is " + BarChart.fun(main.getAltitudes().get(0).getLevel5() * 0.01) + " km².");
//坡向
BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg");
BarChart.insertPic(docxDocument, filePath + main.getAspects().get(0).getProductCode2() + ".jpg");
BarChart.setPicTitle(docxDocument, "Figure " + (number + 5) + " Spatial distribution data of aspect");
String[] xAspectAxis = new String[]{"North", "Northeast", "East", "Southeast", "South", "Southwest", "West", "NorthWest"};//x轴
Double[] yAspectAxis = new Double[]{main.getAspects().get(0).getNorth(), main.getAspects().get(0).getNortheast(),
main.getAspects().get(0).getEast(), main.getAspects().get(0).getSoutheast(), main.getAspects().get(0).getSouth(),
main.getAspects().get(0).getSouthwest(), main.getAspects().get(0).getWest(), main.getAspects().get(0).getNorthwest()};//y轴
Double[] yAspectAxis = new Double[]{BarChart.fun(main.getAspects().get(0).getNorth() * 0.01),
BarChart.fun(main.getAspects().get(0).getNortheast() * 0.01),
BarChart.fun(main.getAspects().get(0).getEast() * 0.01),
BarChart.fun(main.getAspects().get(0).getSoutheast() * 0.01),
BarChart.fun(main.getAspects().get(0).getSouth() * 0.01),
BarChart.fun(main.getAspects().get(0).getSouthwest() * 0.01),
BarChart.fun(main.getAspects().get(0).getWest() * 0.01),
BarChart.fun(main.getAspects().get(0).getNorthwest() * 0.01)};//y轴
BarChart.drawTable(docxDocument, xAspectAxis, yAspectAxis);//标题2图标
BarChart.setPicTitle(docxDocument, "Figure " + (number + 6) + " Classification statistics of aspect");
BarChart.createParagraphAndInsertWord(docxDocument, "In " + zone + " region, the area with the north aspect is " + main.getAspects().get(0).getNorth() + " hm², the area with the northeast aspect is " + main.getAspects().get(0).getNortheast() + " hm², the area with the east aspect is " + main.getAspects().get(0).getEast() + " hm², the area with the southeast aspect is " + main.getAspects().get(0).getSoutheast() + " hm², and the area with the south aspect is " + main.getAspects().get(0).getNorth() + " hm², the area with the southwest aspect is " + main.getAspects().get(0).getSouthwest() + " hm², the area with the west aspect is " + main.getAspects().get(0).getWest() + " hm², and the area with the northwest aspect is " + main.getAspects().get(0).getNorthwest() + " hm².");
BarChart.createParagraphAndInsertWord(docxDocument, "In " + zone + " region, the area with the north aspect is " + BarChart.fun(main.getAspects().get(0).getNorth() / 100) +
" km², the area with the northeast aspect is " + BarChart.fun(main.getAspects().get(0).getNortheast() / 100) +
" km², the area with the east aspect is " + BarChart.fun(main.getAspects().get(0).getEast() / 100) +
" km², the area with the southeast aspect is " + BarChart.fun(main.getAspects().get(0).getSoutheast() / 100) +
" km², and the area with the south aspect is " + BarChart.fun(main.getAspects().get(0).getSouth() / 100) +
" km², the area with the southwest aspect is " + BarChart.fun(main.getAspects().get(0).getSouthwest() / 100) +
" km², the area with the west aspect is " + BarChart.fun(main.getAspects().get(0).getWest() / 100) +
" km², and the area with the northwest aspect is " + BarChart.fun(main.getAspects().get(0).getNorthwest() / 100) + " km².");
//坡度
BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg");
BarChart.insertPic(docxDocument, filePath + main.getSlopes().get(0).getProductCode2() + ".jpg");
BarChart.setPicTitle(docxDocument, "Figure " + (number + 7) + " Spatial distribution data of slope");
String[] xSlopeAxis = new String[]{"<10°", "10°~30°", "30°~50°", "50°~70°", ">70°"};//x轴
Double[] ySlopeAxis = new Double[]{main.getSlopes().get(0).getLevel1(),
main.getSlopes().get(0).getLevel2(), main.getSlopes().get(0).getLevel3(),
main.getSlopes().get(0).getLevel4(), main.getSlopes().get(0).getLevel5()};
Double[] ySlopeAxis = new Double[]{BarChart.fun(main.getSlopes().get(0).getLevel1() * 0.01),
BarChart.fun(main.getSlopes().get(0).getLevel2() * 0.01),
BarChart.fun(main.getSlopes().get(0).getLevel3() * 0.01),
BarChart.fun(main.getSlopes().get(0).getLevel4() * 0.01),
BarChart.fun(main.getSlopes().get(0).getLevel5() * 0.01)};
BarChart.drawTable(docxDocument, xSlopeAxis, ySlopeAxis);//标题2图标
BarChart.setPicTitle(docxDocument, "Figure " + (number + 8) + " Classification statistics of slope");
BarChart.createParagraphAndInsertWord(docxDocument, "In " + zone + " region, the area of slope less than 10° is " + main.getSlopes().get(0).getLevel1() + " hm2, the area of 10°-30° is " + main.getSlopes().get(0).getLevel2() + " hm2, the area of 30°-50° is " + main.getSlopes().get(0).getLevel3() + " hm2, and the area of 50°-70° is " + main.getSlopes().get(0).getLevel4() + "hm2. The area greater than 70° is " + main.getSlopes().get(0).getLevel5() + " hm2.");
BarChart.createParagraphAndInsertWord(docxDocument, "In " + zone + " region, the area of slope less than 10° is " + BarChart.fun(main.getSlopes().get(0).getLevel1() * 0.01) + " km², the area of 10°-30° is " + BarChart.fun(main.getSlopes().get(0).getLevel2() * 0.01) + " km², the area of 30°-50° is " + BarChart.fun(main.getSlopes().get(0).getLevel3() * 0.01) + " km², and the area of 50°-70° is " + BarChart.fun(main.getSlopes().get(0).getLevel4() * 0.01) + "km². The area greater than 70° is " + BarChart.fun(main.getSlopes().get(0).getLevel5() * 0.01) + " km².");
//2.2.2 沙化指数湿度指数盐渍化指数
BarChart.createSecondLevelTopic(docxDocument, i + 2 + ".2.2. Monitoring results of soil index");
//沙化指数
BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg");
BarChart.insertPic(docxDocument, filePath + main.getSoilDesertifications().get(0).getProductCode2() + ".jpg");
BarChart.setPicTitle(docxDocument, "Figure " + (number + 9) + " Spatial distribution data of soil desertification factor");
String[] xDesertificationAxis = new String[]{"<0.1", "01~0.3", "0.3~0.5", "0.5~0.7", ">0.7"};//x轴
Double[] yDesertificationAxis = new Double[]{main.getSoilDesertifications().get(0).getLevel1(),
main.getSoilDesertifications().get(0).getLevel2(), main.getSoilDesertifications().get(0).getLevel3(),
main.getSoilDesertifications().get(0).getLevel4(), main.getSoilDesertifications().get(0).getLevel5()};
String[] xDesertificationAxis = new String[]{"<0.1", "0.1~0.3", "0.3~0.5", "0.5~0.7", ">0.7"};//x轴
Double[] yDesertificationAxis = new Double[]{BarChart.fun(main.getSoilDesertifications().get(0).getLevel1() * 0.01),
BarChart.fun(main.getSoilDesertifications().get(0).getLevel2() * 0.01),
BarChart.fun(main.getSoilDesertifications().get(0).getLevel3() * 0.01),
BarChart.fun(main.getSoilDesertifications().get(0).getLevel4() * 0.01),
BarChart.fun(main.getSoilDesertifications().get(0).getLevel5() * 0.01)};
BarChart.drawTable(docxDocument, xDesertificationAxis, yDesertificationAxis);
BarChart.setPicTitle(docxDocument, "Figure " + (number + 10) + " Classification statistics of soil desertification factor");
BarChart.createParagraphAndInsertWord(docxDocument, "In " + zone + " region, the area of soil desertification factor less than 0.1 is " + main.getSoilDesertifications().get(0).getLevel1() + " hm2, the area of 0.1-0.3 is " + main.getSoilDesertifications().get(0).getLevel2() + "hm2, the area of 0.3-0.5 is " + main.getSoilDesertifications().get(0).getLevel3() + " hm2, and the area of 0.5-0.7 is " + main.getSoilDesertifications().get(0).getLevel4() + " hm2. The area greater than 0.7 is " + main.getSoilDesertifications().get(0).getLevel5() + " hm2.");
BarChart.createParagraphAndInsertWord(docxDocument, "In " + zone + " region, the area of soil desertification factor less than 0.1 is " + BarChart.fun(main.getSoilDesertifications().get(0).getLevel1() * 0.01) + " km², the area of 0.1-0.3 is " + BarChart.fun(main.getSoilDesertifications().get(0).getLevel2() * 0.01) + "km², the area of 0.3-0.5 is " + BarChart.fun(main.getSoilDesertifications().get(0).getLevel3() * 0.01) + " km², and the area of 0.5-0.7 is " + BarChart.fun(main.getSoilDesertifications().get(0).getLevel4() * 0.01) + " km². The area greater than 0.7 is " + BarChart.fun(main.getSoilDesertifications().get(0).getLevel5() * 0.01) + " km².");
//湿度指数
BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg");
BarChart.insertPic(docxDocument, filePath + main.getSoilMoistures().get(0).getProductCode2() + ".jpg");
BarChart.setPicTitle(docxDocument, "Figure " + (number + 11) + " Spatial distribution data of soil moisture factor");
Double[] yMoistureAxis = new Double[]{main.getSoilMoistures().get(0).getLevel1(),
main.getSoilMoistures().get(0).getLevel2(), main.getSoilMoistures().get(0).getLevel3(),
main.getSoilMoistures().get(0).getLevel4(), main.getSoilMoistures().get(0).getLevel5()};
Double[] yMoistureAxis = new Double[]{BarChart.fun(main.getSoilMoistures().get(0).getLevel1() * 0.01),
BarChart.fun(main.getSoilMoistures().get(0).getLevel2() * 0.01),
BarChart.fun(main.getSoilMoistures().get(0).getLevel3() * 0.01),
BarChart.fun(main.getSoilMoistures().get(0).getLevel4() * 0.01),
BarChart.fun(main.getSoilMoistures().get(0).getLevel5() * 0.01)};
BarChart.drawTable(docxDocument, xDesertificationAxis, yMoistureAxis);
BarChart.setPicTitle(docxDocument, "Figure " + (number + 12) + " Classification statistics of soil moisture factor");
BarChart.createParagraphAndInsertWord(docxDocument, "In " + zone + " region, the area of soil moisture factor less than 0.1 is " + main.getSoilMoistures().get(0).getLevel1() + " hm2, the area of 0.1-0.3 is " + main.getSoilMoistures().get(0).getLevel2() + " hm2, the area of 0.3-0.5 is " + main.getSoilMoistures().get(0).getLevel3() + " hm2, and the area of 0.5-0.7 is " + main.getSoilMoistures().get(0).getLevel4() + "hm2. The area greater than 0.7 is " + main.getSoilMoistures().get(0).getLevel5() + " hm2.");
BarChart.createParagraphAndInsertWord(docxDocument, "In " + zone + " region, the area of soil moisture factor less than 0.1 is " + BarChart.fun(main.getSoilMoistures().get(0).getLevel1() * 0.01) + " km², the area of 0.1-0.3 is " + BarChart.fun(main.getSoilMoistures().get(0).getLevel2() * 0.01) + " km², the area of 0.3-0.5 is " + BarChart.fun(main.getSoilMoistures().get(0).getLevel3() * 0.01) + " km², and the area of 0.5-0.7 is " + BarChart.fun(main.getSoilMoistures().get(0).getLevel4() * 0.01) + "km². The area greater than 0.7 is " + BarChart.fun(main.getSoilMoistures().get(0).getLevel5() * 0.01) + " km².");
//盐渍化指数
BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg");
BarChart.insertPic(docxDocument, filePath + main.getSoilSalinizations().get(0).getProductCode2() + ".jpg");
BarChart.setPicTitle(docxDocument, "Figure " + (number + 13) + " Spatial distribution data of soil salinization factor");
Double[] ySalinizationsAxis = new Double[]{main.getSoilSalinizations().get(0).getLevel1(),
main.getSoilSalinizations().get(0).getLevel2(), main.getSoilSalinizations().get(0).getLevel3(),
main.getSoilSalinizations().get(0).getLevel4(), main.getSoilSalinizations().get(0).getLevel5()};
Double[] ySalinizationsAxis = new Double[]{
BarChart.fun(main.getSoilSalinizations().get(0).getLevel1() * 0.01),
BarChart.fun(main.getSoilSalinizations().get(0).getLevel2() * 0.01),
BarChart.fun(main.getSoilSalinizations().get(0).getLevel3() * 0.01),
BarChart.fun(main.getSoilSalinizations().get(0).getLevel4() * 0.01),
BarChart.fun(main.getSoilSalinizations().get(0).getLevel5() * 0.01)};
BarChart.drawTable(docxDocument, xDesertificationAxis, ySalinizationsAxis);//标题2图标
BarChart.setPicTitle(docxDocument, "Figure " + (number + 14) + " Classification statistics of soil salinization factor");
BarChart.createParagraphAndInsertWord(docxDocument, "In " + zone + " region, In 01 area, the area of soil salinization factor less than " + main.getSoilSalinizations().get(0).getLevel1() + " is 252 hm2, the area of 0.1-0.3 is " + main.getSoilSalinizations().get(0).getLevel2() + " hm2, the area of 0.3-0.5 is " + main.getSoilSalinizations().get(0).getLevel3() + " hm2, and the area of 0.5-0.7 is " + main.getSoilSalinizations().get(0).getLevel4() + " hm2. The area greater than 0.7 is " + main.getSoilSalinizations().get(0).getLevel5() + " hm2.");
BarChart.createParagraphAndInsertWord(docxDocument, "In " + zone + " region, In 01 area, the area of soil salinization factor less than 0.1 is" + BarChart.fun(main.getSoilSalinizations().get(0).getLevel1() * 0.01) + "km², the area of 0.1-0.3 is " + BarChart.fun(main.getSoilSalinizations().get(0).getLevel2() * 0.01) + " km², the area of 0.3-0.5 is " + BarChart.fun(main.getSoilSalinizations().get(0).getLevel3() * 0.01) + " km², and the area of 0.5-0.7 is " + BarChart.fun(main.getSoilSalinizations().get(0).getLevel4() * 0.01) + " km². The area greater than 0.7 is " + BarChart.fun(main.getSoilSalinizations().get(0).getLevel5() * 0.01) + " km².");
//2.2.3 水域因子道路因子
BarChart.createSecondLevelTopic(docxDocument, "2.2.3. Monitoring results of regional index");
//道路因子
BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg");
BarChart.insertPic(docxDocument, filePath + main.getRoadFactors().get(0).getProductCode2() + ".jpg");
BarChart.setPicTitle(docxDocument, "Figure " + (number + 15) + " Spatial distribution data of road factor");
Double[] yRoadAxis = new Double[]{main.getRoadFactors().get(0).getLevel1(),
main.getRoadFactors().get(0).getLevel2(), main.getRoadFactors().get(0).getLevel3(),
main.getRoadFactors().get(0).getLevel4(), main.getRoadFactors().get(0).getLevel5()};
Double[] yRoadAxis = new Double[]{BarChart.fun(main.getRoadFactors().get(0).getLevel1() / 100),
BarChart.fun(main.getRoadFactors().get(0).getLevel2() / 100),
BarChart.fun(main.getRoadFactors().get(0).getLevel3() / 100),
BarChart.fun(main.getRoadFactors().get(0).getLevel4() / 100),
BarChart.fun(main.getRoadFactors().get(0).getLevel5() / 100)};
BarChart.drawTable(docxDocument, xDesertificationAxis, yRoadAxis);//标题2图标
BarChart.setPicTitle(docxDocument, "Figure " + (number + 16) + " Classification statistics of road factor");
BarChart.createParagraphAndInsertWord(docxDocument, "In " + zone + " region, the area of road factor less than 0.1 is " + main.getRoadFactors().get(0).getLevel1() + " hm2, the area of 0.1-0.3 is " + main.getRoadFactors().get(0).getLevel2() + " hm2, the area of 0.3-0.5 is " + main.getRoadFactors().get(0).getLevel3() + " hm2, and the area of 0.5-0.7 is " + main.getRoadFactors().get(0).getLevel4() + " hm2. The area greater than 0.7 is " + main.getRoadFactors().get(0).getLevel5() + "hm2.");
BarChart.createParagraphAndInsertWord(docxDocument, "In " + zone + " region, the area of road factor less than 0.1 is " + BarChart.fun(main.getRoadFactors().get(0).getLevel1() * 0.01) + " km², the area of 0.1-0.3 is " + BarChart.fun(main.getRoadFactors().get(0).getLevel2() * 0.01) + " km², the area of 0.3-0.5 is " + BarChart.fun(main.getRoadFactors().get(0).getLevel3() * 0.01) + " km², and the area of 0.5-0.7 is " + BarChart.fun(main.getRoadFactors().get(0).getLevel4() * 0.01) + " km². The area greater than 0.7 is " + BarChart.fun(main.getRoadFactors().get(0).getLevel5() * 0.01) + "km².");
//水域因子
BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg");
BarChart.insertPic(docxDocument, filePath + main.getWaterFactors().get(0).getProductCode2() + ".jpg");
BarChart.setPicTitle(docxDocument, "Figure " + (number + 17) + " Spatial distribution data of water factor");
Double[] yWaterAxis = new Double[]{main.getWaterFactors().get(0).getLevel1(),
main.getWaterFactors().get(0).getLevel2(), main.getWaterFactors().get(0).getLevel3(),
main.getWaterFactors().get(0).getLevel4(), main.getWaterFactors().get(0).getLevel5()};
Double[] yWaterAxis = new Double[]{BarChart.fun(main.getWaterFactors().get(0).getLevel1() / 100),
BarChart.fun(main.getWaterFactors().get(0).getLevel2() / 100),
BarChart.fun(main.getWaterFactors().get(0).getLevel3() / 100),
BarChart.fun(main.getWaterFactors().get(0).getLevel4() / 100),
BarChart.fun(main.getWaterFactors().get(0).getLevel5() / 100)};
BarChart.drawTable(docxDocument, xDesertificationAxis, yWaterAxis);//标题2图标
BarChart.setPicTitle(docxDocument, "Figure " + (number + 18) + " Classification statistics of water factor");
BarChart.createParagraphAndInsertWord(docxDocument, "In " + zone + " region, the area of water factor less than 0.1 is " + main.getWaterFactors().get(0).getLevel1() + " hm2, the area of 0.1-0.3 is " + main.getWaterFactors().get(0).getLevel2() + " hm2, the area of 0.3-0.5 is " + main.getWaterFactors().get(0).getLevel3() + " hm2, and the area of 0.5-0.7 is " + main.getWaterFactors().get(0).getLevel4() + " hm2. The area greater than 0.7 is " + main.getWaterFactors().get(0).getLevel5() + " hm2.");
BarChart.createParagraphAndInsertWord(docxDocument, "In " + zone + " region, the area of water factor less than 0.1 is " + BarChart.fun(main.getWaterFactors().get(0).getLevel1() * 0.01) + " km², the area of 0.1-0.3 is " + BarChart.fun(main.getWaterFactors().get(0).getLevel2() * 0.01) + " km², the area of 0.3-0.5 is " + BarChart.fun(main.getWaterFactors().get(0).getLevel3() * 0.01) + " km², and the area of 0.5-0.7 is " + BarChart.fun(main.getWaterFactors().get(0).getLevel4() * 0.01) + " km². The area greater than 0.7 is " + BarChart.fun(main.getWaterFactors().get(0).getLevel5() * 0.01) + " km².");
//2.3
BarChart.createSecondLevelTopic(docxDocument, i + 2 + ".3. Monitoring results of planting suitability");
//查找适宜性
PlantingSuitability suitability = plantingSuitabilityService.sqlSeeding1(zone, year);
BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg");
BarChart.insertPic(docxDocument, filePath + suitability.getProductCode3() + ".jpg");
BarChart.setPicTitle(docxDocument, "Figure " + (number + 19) + " Spatial distribution data of planting suitability");
//此处插入图表
String[] xAxisData2 = new String[]{"Very Suitable", "Suitable", "Not Suitable"};
Double x1 = suitability.getVerySuitable();
Double x2 = suitability.getSuitable();
Double x3 = suitability.getNotSuitable();
Double x1 = suitability.getVerySuitable() / 100;
Double x2 = suitability.getSuitable() / 100;
Double x3 = suitability.getNotSuitable() / 100;
Double[] yAxisData2 = new Double[]{x1, x2, x3};
BarChart.drawTable(docxDocument, xAxisData2, yAxisData2);
BarChart.setPicTitle(docxDocument, "Figure " + (number + 20) + " Classification statistics of planting suitability");
BarChart.createParagraphAndInsertWord(docxDocument,"In "+suitability.getZone()+" region, the area of very suitable region was "+suitability.getVerySuitable()+" hm², accounting for "+BarChart.getDoubleNumber((suitability.getVerySuitable()/suitability.getTotalArea())*100)+"%. The area of suitable grade was "+suitability.getSuitable()+" hm², accounting for "+BarChart.getDoubleNumber((suitability.getSuitable()/suitability.getTotalArea())*100)+"%. The area of unsuitable area was "+suitability.getNotSuitable()+" hm², accounting for "+BarChart.getDoubleNumber((suitability.getNotSuitable()/suitability.getTotalArea())*100)+"%.");
BarChart.createParagraphAndInsertWord(docxDocument, "In " + suitability.getZone() + " region, the area of very suitable region was " + BarChart.fun(suitability.getVerySuitable() / 100) +
" km², accounting for " + BarChart.fun((suitability.getVerySuitable() / suitability.getTotalArea()) * 100) + "%. The area of suitable grade was " + BarChart.fun(suitability.getSuitable() / 100) +
" km², accounting for " + BarChart.fun((suitability.getSuitable() / suitability.getTotalArea()) * 100) + "%. The area of unsuitable area was " + BarChart.fun(suitability.getNotSuitable() / 100) +
" km², accounting for " + BarChart.fun((suitability.getNotSuitable() / suitability.getTotalArea()) * 100) + "%.");
number += 20;
}
response.setCharacterEncoding("UTF-8");
response.setContentType("application/msword");
//文件名
String fileName = "Evaluation report of planting monitoring in ITBA Nature Reserve - V2.0.docx";
String fileName = "Evaluation report of planting monitoring in ITBA Nature Reserve - " + "Year:" + year + "(" + zoneString + ")" + ".docx";
response.setHeader("Content-Disposition", "attachment;fileName=" + new String(fileName.getBytes("UTF-8"), "ISO-8859-1"));
response.setHeader("Access-Control-Expose-Headers", "Content-Disposition");
ServletOutputStream responseOutputStream = response.getOutputStream();
docxDocument.write(responseOutputStream);
responseOutputStream.flush();
responseOutputStream.close();
}
} catch (Exception e) {
return AjaxResult.error(e.getMessage());
}
return AjaxResult.success("成功!");
}
// /**
@ -726,7 +911,7 @@ public class DateUploadController {
// BarChart.createParagraphAndInsertWord(docxDocument, ""+BarChart.changeDate(seedingSuccessRate.getImageDate())+
// ". The total planting area in "+seedingSuccessRate.getZone()+" area was "+
// BarChart.getDoubleNumber((seedingSuccessRate.getSeedingSuccessArea()/seedingSuccessRate.getSeedingSuccess())) +
// " hm², the vegetation survival area was "+seedingSuccessRate.getSeedingSuccessArea()+" hm², and the seeding success rate was "+seedingSuccessRate.getSeedingSuccess()+"%.");
// " km², the vegetation survival area was "+seedingSuccessRate.getSeedingSuccessArea()+" km², and the seeding success rate was "+seedingSuccessRate.getSeedingSuccess()+"%.");
// }
// //第三段的标题
// BarChart.createFirstLevelTopic(docxDocument, "3.Results of remote sensing monitoring of vegetation health");
@ -755,9 +940,9 @@ public class DateUploadController {
// List<VegetationHealth> vegetationHealths_M = vegetationHealthServices.sqlSeeding(zone, M_code.get(i), year);
// for (VegetationHealth vegetationHealth_m : vegetationHealths_M) {
// //第三段的第一个小标题的内容
// BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg");
// BarChart.insertPic(docxDocument, "C:\\Users\\sjs\\Desktop\\R-C.jpg");
// BarChart.setPicTitle(docxDocument, "Spatial distribution data of vegetation planting area");
// BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg");
// BarChart.insertPic(docxDocument, "C:\\Users\\sjs\\Desktop\\R-C.jpg");
// BarChart.setPicTitle(docxDocument, "Spatial distribution data of vegetation health status");
// //插入柱状图表
// String[] xAxisData = new String[]{"Health", "Normal", "Not-Health"};
@ -767,7 +952,7 @@ public class DateUploadController {
// Double[] yAxisData = new Double[]{m1, m2, m3};
// BarChart.drawTable(docxDocument,xAxisData,yAxisData);
// BarChart.setPicTitle(docxDocument, "Statistical data on vegetation health");
// BarChart.createParagraphAndInsertWord(docxDocument, ""+BarChart.changeDate(vegetationHealth_m.getImageDate())+". Based on the monitoring results of high resolution satellite images, the area of healthy vegetation growth in "+vegetationHealth_m.getZone()+" region was "+vegetationHealth_m.getHealthy()+" hm², accounting for "+BarChart.getDoubleNumber((vegetationHealth_m.getHealthy()/vegetationHealth_m.getTotalArea())*100)+"%. The area with normal vegetation growth was "+vegetationHealth_m.getNormal()+" hm², accounting for "+BarChart.getDoubleNumber((vegetationHealth_m.getNormal()/vegetationHealth_m.getTotalArea())*100)+"%. The area of unhealthy vegetation growth was "+vegetationHealth_m.getNotHealthy()+" hm², accounting for "+BarChart.getDoubleNumber((vegetationHealth_m.getNotHealthy()/vegetationHealth_m.getTotalArea())*100)+"%.");
// BarChart.createParagraphAndInsertWord(docxDocument, ""+BarChart.changeDate(vegetationHealth_m.getImageDate())+". Based on the monitoring results of high resolution satellite images, the area of healthy vegetation growth in "+vegetationHealth_m.getZone()+" region was "+vegetationHealth_m.getHealthy()+" km², accounting for "+BarChart.getDoubleNumber((vegetationHealth_m.getHealthy()/vegetationHealth_m.getTotalArea())*100)+"%. The area with normal vegetation growth was "+vegetationHealth_m.getNormal()+" km², accounting for "+BarChart.getDoubleNumber((vegetationHealth_m.getNormal()/vegetationHealth_m.getTotalArea())*100)+"%. The area of unhealthy vegetation growth was "+vegetationHealth_m.getNotHealthy()+" km², accounting for "+BarChart.getDoubleNumber((vegetationHealth_m.getNotHealthy()/vegetationHealth_m.getTotalArea())*100)+"%.");
// }
// }
// //第三段的第二个小标题
@ -776,9 +961,9 @@ public class DateUploadController {
// List<VegetationHealth> vegetationHealths_H = vegetationHealthServices.sqlSeeding(zone, H_code.get(i), year);
// for (VegetationHealth vegetationHealth_h : vegetationHealths_H) {
// //第三段的第二个小标题的内容
// BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg");
// BarChart.insertPic(docxDocument, "C:\\Users\\sjs\\Desktop\\R-C.jpg");
// BarChart.setPicTitle(docxDocument, "Spatial distribution data of vegetation planting area");
// BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg");
// BarChart.insertPic(docxDocument, "C:\\Users\\sjs\\Desktop\\R-C.jpg");
// BarChart.setPicTitle(docxDocument, "Spatial distribution data of vegetation health status");
// //此处插入图表
// String[] xAxisData1 = new String[]{"Health", "Normal", "Not-Health"};
@ -788,7 +973,7 @@ public class DateUploadController {
// Double[] yAxisData1 = new Double[]{h1, h2, h3};
// BarChart.drawTable(docxDocument, xAxisData1, yAxisData1);
// BarChart.setPicTitle(docxDocument, "Statistical data on vegetation health");
// BarChart.createParagraphAndInsertWord(docxDocument, "" + BarChart.changeDate(vegetationHealth_h.getImageDate()) + ". Based on the monitoring results of high resolution satellite images, the area of healthy vegetation growth in " + vegetationHealth_h.getZone() + " region was " + vegetationHealth_h.getHealthy() + " hm², accounting for " + BarChart.getDoubleNumber((vegetationHealth_h.getHealthy() / vegetationHealth_h.getTotalArea()) * 100) + "%. The area with normal vegetation growth was " + vegetationHealth_h.getNormal() + " hm², accounting for " + BarChart.getDoubleNumber((vegetationHealth_h.getNormal() / vegetationHealth_h.getTotalArea()) * 100) + "%. The area of unhealthy vegetation growth was " + vegetationHealth_h.getNotHealthy() + " hm², accounting for " + BarChart.getDoubleNumber((vegetationHealth_h.getNotHealthy() / vegetationHealth_h.getTotalArea()) * 100) + "%.");
// BarChart.createParagraphAndInsertWord(docxDocument, "" + BarChart.changeDate(vegetationHealth_h.getImageDate()) + ". Based on the monitoring results of high resolution satellite images, the area of healthy vegetation growth in " + vegetationHealth_h.getZone() + " region was " + vegetationHealth_h.getHealthy() + " km², accounting for " + BarChart.getDoubleNumber((vegetationHealth_h.getHealthy() / vegetationHealth_h.getTotalArea()) * 100) + "%. The area with normal vegetation growth was " + vegetationHealth_h.getNormal() + " km², accounting for " + BarChart.getDoubleNumber((vegetationHealth_h.getNormal() / vegetationHealth_h.getTotalArea()) * 100) + "%. The area of unhealthy vegetation growth was " + vegetationHealth_h.getNotHealthy() + " km², accounting for " + BarChart.getDoubleNumber((vegetationHealth_h.getNotHealthy() / vegetationHealth_h.getTotalArea()) * 100) + "%.");
// }
// }
// //第四个标题
@ -798,7 +983,7 @@ public class DateUploadController {
// //获取图片的url
// String productCode1 = suitability.getProductCode1();
// //第四个标题的内容
// BarChart.insertPic(docxDocument,"C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg");
// BarChart.insertPic(docxDocument,"C:\\Users\\sjs\\Desktop\\R-C.jpg");
// BarChart.setPicTitle(docxDocument,"Spatial distribution data of planting suitability");
// //此处插入图表
// String[] xAxisData2 = new String[]{"Very Suitable", "Suitable", "Not Suitable"};
@ -808,7 +993,7 @@ public class DateUploadController {
// Double[] yAxisData2 = new Double[]{s1, s2, s3};
// BarChart.drawTable(docxDocument,xAxisData2,yAxisData2);
// BarChart.setPicTitle(docxDocument,"Classification statistics of planting suitability");
// BarChart.createParagraphAndInsertWord(docxDocument,"In "+suitability.getZone()+" region, the area of very suitable region was "+suitability.getVerySuitable()+" hm², accounting for "+BarChart.getDoubleNumber((suitability.getVerySuitable()/suitability.getTotalArea())*100)+"%. The area of suitable grade was "+suitability.getSuitable()+" hm², accounting for "+BarChart.getDoubleNumber((suitability.getSuitable()/suitability.getTotalArea())*100)+"%. The area of unsuitable area was "+suitability.getNotSuitable()+" hm², accounting for "+BarChart.getDoubleNumber((suitability.getNotSuitable()/suitability.getTotalArea())*100)+"%.");
// BarChart.createParagraphAndInsertWord(docxDocument,"In "+suitability.getZone()+" region, the area of very suitable region was "+suitability.getVerySuitable()+" km², accounting for "+BarChart.getDoubleNumber((suitability.getVerySuitable()/suitability.getTotalArea())*100)+"%. The area of suitable grade was "+suitability.getSuitable()+" km², accounting for "+BarChart.getDoubleNumber((suitability.getSuitable()/suitability.getTotalArea())*100)+"%. The area of unsuitable area was "+suitability.getNotSuitable()+" km², accounting for "+BarChart.getDoubleNumber((suitability.getNotSuitable()/suitability.getTotalArea())*100)+"%.");
// }
// response.setCharacterEncoding("UTF-8");
// response.setContentType("application/msword");

View File

@ -95,6 +95,7 @@ public class LandUseController {
value1.setProductCode2(value.get(i).getProductCode2());
value1.setProductCode3(value.get(i).getProductCode3());
value1.setYear(value.get(i).getYear());
value1.setRegionName(value.get(i).getRegionName());
} else if (value.get(i).getLandUse().equals("Buildings") && value.get(i).getZone().equals(zonenew.get(j))) {
value1.setBuildings(value.get(i).getArea());
value1.setZone(value.get(i).getZone());
@ -102,12 +103,14 @@ public class LandUseController {
value1.setProductCode2(value.get(i).getProductCode2());
value1.setProductCode3(value.get(i).getProductCode3());
value1.setYear(value.get(i).getYear());
value1.setRegionName(value.get(i).getRegionName());
} else if (value.get(i).getLandUse().equals("Roads") && value.get(i).getZone().equals(zonenew.get(j))) {
value1.setRoads(value.get(i).getArea());
value1.setProductCode1(value.get(i).getProductCode1());
value1.setProductCode2(value.get(i).getProductCode2());
value1.setProductCode3(value.get(i).getProductCode3());
value1.setYear(value.get(i).getYear());
value1.setRegionName(value.get(i).getRegionName());
} else if (value.get(i).getLandUse().equals("Water") && value.get(i).getZone().equals(zonenew.get(j))) {
value1.setWater(value.get(i).getArea());
value1.setZone(value.get(i).getZone());
@ -115,6 +118,7 @@ public class LandUseController {
value1.setProductCode2(value.get(i).getProductCode2());
value1.setProductCode3(value.get(i).getProductCode3());
value1.setYear(value.get(i).getYear());
value1.setRegionName(value.get(i).getRegionName());
} else if (value.get(i).getLandUse().equals("Forest") && value.get(i).getZone().equals(zonenew.get(j))) {
value1.setForest(value.get(i).getArea());
value1.setZone(value.get(i).getZone());
@ -122,6 +126,7 @@ public class LandUseController {
value1.setProductCode2(value.get(i).getProductCode2());
value1.setProductCode3(value.get(i).getProductCode3());
value1.setYear(value.get(i).getYear());
value1.setRegionName(value.get(i).getRegionName());
} else if (value.get(i).getLandUse().equals("Grass") && value.get(i).getZone().equals(zonenew.get(j))) {
value1.setGrass(value.get(i).getArea());
value1.setZone(value.get(i).getZone());
@ -129,6 +134,7 @@ public class LandUseController {
value1.setProductCode2(value.get(i).getProductCode2());
value1.setProductCode3(value.get(i).getProductCode3());
value1.setYear(value.get(i).getYear());
value1.setRegionName(value.get(i).getRegionName());
} else if (value.get(i).getLandUse().equals("Soil") && value.get(i).getZone().equals(zonenew.get(j))) {
value1.setSoil(value.get(i).getArea());
value1.setZone(value.get(i).getZone());
@ -136,6 +142,7 @@ public class LandUseController {
value1.setProductCode2(value.get(i).getProductCode2());
value1.setProductCode3(value.get(i).getProductCode3());
value1.setYear(value.get(i).getYear());
value1.setRegionName(value.get(i).getRegionName());
} else if (value.get(i).getLandUse().equals("Desert") && value.get(i).getZone().equals(zonenew.get(j))) {
value1.setDesert(value.get(i).getArea());
value1.setZone(value.get(i).getZone());
@ -143,6 +150,7 @@ public class LandUseController {
value1.setProductCode2(value.get(i).getProductCode2());
value1.setProductCode3(value.get(i).getProductCode3());
value1.setYear(value.get(i).getYear());
value1.setRegionName(value.get(i).getRegionName());
} else if (value.get(i).getLandUse().equals("Rocks") && value.get(i).getZone().equals(zonenew.get(j))) {
value1.setRocks(value.get(i).getArea());
value1.setZone(value.get(i).getZone());
@ -150,6 +158,7 @@ public class LandUseController {
value1.setProductCode2(value.get(i).getProductCode2());
value1.setProductCode3(value.get(i).getProductCode3());
value1.setYear(value.get(i).getYear());
value1.setRegionName(value.get(i).getRegionName());
} else if (value.get(i).getLandUse().equals("Other") && value.get(i).getZone().equals(zonenew.get(j))) {
value1.setOther(value.get(i).getArea());
value1.setZone(value.get(i).getZone());
@ -157,6 +166,7 @@ public class LandUseController {
value1.setProductCode2(value.get(i).getProductCode2());
value1.setProductCode3(value.get(i).getProductCode3());
value1.setYear(value.get(i).getYear());
value1.setRegionName(value.get(i).getRegionName());
}
}
lanUseNews.add(value1);

View File

@ -18,8 +18,8 @@ ruoyi:
# 开发环境配置
server:
# 服务器的HTTP端口默认为8080
#port: 6051
port: 6051
#port: 9800
servlet:
# 应用的访问路径
context-path: /

View File

@ -1,21 +1,26 @@
package com.ruoyi.common.utils;
import org.apache.poi.hpsf.Section;
import org.apache.poi.openxml4j.exceptions.InvalidFormatException;
import org.apache.poi.ss.usermodel.HeaderFooter;
import org.apache.poi.ss.usermodel.Picture;
import org.apache.poi.ss.util.CellRangeAddress;
import org.apache.poi.ss.util.CellReference;
import org.apache.poi.util.Units;
import org.apache.poi.wp.usermodel.HeaderFooterType;
import org.apache.poi.wp.usermodel.Paragraph;
import org.apache.poi.xddf.usermodel.chart.*;
import org.apache.poi.xwpf.model.XWPFHeaderFooterPolicy;
import org.apache.poi.xwpf.usermodel.*;
import java.io.FileInputStream;
import java.io.*;
import java.math.BigDecimal;
import java.math.BigInteger;
import java.text.DecimalFormat;
import java.util.List;
import org.apache.poi.xwpf.usermodel.XWPFChart;
import org.apache.poi.xwpf.usermodel.XWPFDocument;
import org.openxmlformats.schemas.wordprocessingml.x2006.main.CTP;
import org.openxmlformats.schemas.wordprocessingml.x2006.main.CTPPr;
import org.openxmlformats.schemas.wordprocessingml.x2006.main.CTSpacing;
import org.openxmlformats.schemas.wordprocessingml.x2006.main.STLineSpacingRule;
import org.openxmlformats.schemas.wordprocessingml.x2006.main.*;
/**
@ -26,6 +31,74 @@ import org.openxmlformats.schemas.wordprocessingml.x2006.main.STLineSpacingRule;
public class BarChart
{
public static Double fun(Double value)
{
BigDecimal bg=new BigDecimal(value);
return bg.setScale(2,BigDecimal.ROUND_HALF_UP).doubleValue();
}
private void setXWPFRunStyle(XWPFRun r1,String font,int fontSize) {
r1.setFontSize(fontSize);
CTRPr rpr = r1.getCTR().isSetRPr() ? r1.getCTR().getRPr() : r1.getCTR().addNewRPr();
CTFonts fonts = rpr.isSetRFonts() ? rpr.getRFonts() : rpr.addNewRFonts();
fonts.setAscii(font);
fonts.setEastAsia(font);
fonts.setHAnsi(font);
}
public static void createHeader(XWPFDocument doc, String orgFullName){
try {
CTSectPr sectPr = doc.getDocument().getBody().addNewSectPr();
XWPFHeaderFooterPolicy headerFooterPolicy = new XWPFHeaderFooterPolicy(doc, sectPr);
XWPFHeader header = headerFooterPolicy.createHeader(XWPFHeaderFooterPolicy.DEFAULT);
XWPFParagraph paragraph = header.createParagraph();
paragraph.setAlignment(ParagraphAlignment.BOTH); //设置段落左对齐
paragraph.setBorderBottom(Borders.THICK); //设置下划线
// paragraph.setSpacingLineRule(LineSpacingRule.AUTO);
paragraph.setSpacingBetween(40,LineSpacingRule.EXACT);
// paragraph.setAlignment(ParagraphAlignment.CENTER);
XWPFRun run = paragraph.createRun();
run.setBold(false);
run.setFontSize(9);
/*
* 取到图片的字节流
* */
String logoFilePath="shate.png";
if (StringUtils.isNotEmpty(logoFilePath)) {
File file=new File(logoFilePath);
InputStream is = new FileInputStream(file);
XWPFPicture picture = run.addPicture(is, XWPFDocument.PICTURE_TYPE_JPEG, logoFilePath, Units.toEMU(60), Units.toEMU(30));
String blipID = "";
for(XWPFPictureData picturedata : header.getAllPackagePictures()) { //这段必须有不然打开的logo图片不显示
blipID = header.getRelationId(picturedata);
}
picture.getCTPicture().getBlipFill().getBlip().setEmbed(blipID);
run.addTab();
is.close();
}
/*
* 添加字体页眉
* */
if (StringUtils.isNotEmpty(orgFullName)) {
run = paragraph.createRun();
run.setText(" "+orgFullName);
}
} catch (FileNotFoundException e) {
throw new RuntimeException(e);
} catch (IOException e) {
throw new RuntimeException(e);
} catch (InvalidFormatException e) {
throw new RuntimeException(e);
}
}
//绘制折线图
public static void drawLine(XWPFDocument document, String[] xAxisData,Double[] yAxisData) throws Exception {
XWPFChart xChart = document.createChart(15 * Units.EMU_PER_CENTIMETER, 10 * Units.EMU_PER_CENTIMETER);
@ -40,7 +113,7 @@ public class BarChart
// 6Y轴(值轴)相关设置
XDDFValueAxis yAxis = xChart.createValueAxis(AxisPosition.LEFT); // 创建Y轴,指定位置轴标题
XDDFNumericalDataSource<Double> yAxisSource = XDDFDataSourcesFactory.fromArray(yAxisData); // 设置Y轴数据
yAxis.setTitle("h");
yAxis.setTitle("k");
// 7创建折线图对象
XDDFLineChartData lineChart = (XDDFLineChartData) xChart.createData(ChartTypes.LINE, xAxis, yAxis);
@ -55,21 +128,12 @@ public class BarChart
}
public static void drawTable(XWPFDocument document, String[] xAxisData,Double[] yAxisData) throws Exception {
/*int numOfPoints = categories.length;
String categoryDataRange = chart.formatRange(new CellRangeAddress(1, numOfPoints, 0, 0));
String valuesDataRangeA = chart.formatRange(new CellRangeAddress(1, numOfPoints, 1, 1));
String valuesDataRangeB = chart.formatRange(new CellRangeAddress(1, numOfPoints, 2, 2));
XDDFDataSource<String> categoriesData = XDDFDataSourcesFactory.fromArray(categories, categoryDataRange, 0);
XDDFNumericalDataSource<Double> valuesDataA = XDDFDataSourcesFactory.fromArray(valuesA, valuesDataRangeA, 1);
XDDFNumericalDataSource<Double> valuesDataB = XDDFDataSourcesFactory.fromArray(valuesB, valuesDataRangeB, 2);*/
// 创建chart图表对象,抛出异常
XWPFChart chart = document.createChart(15 * Units.EMU_PER_CENTIMETER, 10 * Units.EMU_PER_CENTIMETER);
// 图表相关设置
chart.setTitleText(""); // 图表标题
// XWPFChart chart = document.createChart(15 * Units.EMU_PER_CENTIMETER, 10 * Units.EMU_PER_CENTIMETER);
XWPFChart chart=document.createChart(15 * Units.EMU_PER_CENTIMETER, 11 * Units.EMU_PER_CENTIMETER);
chart.setTitleText("");
chart.setTitleOverlay(false); // 图例是否覆盖标题
//XDDFChartLegend legend = chart.getOrAddLegend();
//legend.setPosition(LegendPosition.TOP); // 图例位置:上下左右
chart.setChartBottomMargin(50);
// X轴(分类轴)相关设置
XDDFCategoryAxis xAxis =chart.createCategoryAxis(AxisPosition.BOTTOM); // 创建X轴,并且指定位置
xAxis.setTitle(""); // x轴标题
@ -77,7 +141,7 @@ public class BarChart
// Y轴(值轴)相关设置
//chart.createValueAxis(AxisPosition.LEFT);
XDDFValueAxis yAxis = chart.createValueAxis(AxisPosition.LEFT); // 创建Y轴,指定位置
yAxis.setTitle("Area(hm²)"); // Y轴标题
yAxis.setTitle("Area(km²)"); // Y轴标题
yAxis.setCrossBetween(AxisCrossBetween.BETWEEN); // 设置图柱的位置:BETWEEN居中
XDDFNumericalDataSource<Double> yAxisSource = XDDFDataSourcesFactory.fromArray(yAxisData); // 设置Y轴数据
ChartTypes chartTypes = ChartTypes.BAR;
@ -90,6 +154,8 @@ public class BarChart
barSeries.setTitle(" ", null); // 图例标题
// 绘制柱状图
chart.plot(barChart);
}
//插入图片
@ -102,7 +168,7 @@ public class BarChart
(fileAddress)) {
run.addPicture(is, XWPFDocument.PICTURE_TYPE_PNG,
fileAddress,
Units.toEMU(185), Units.toEMU(223)); // 200x200 pixels
Units.toEMU(392), Units.toEMU(280)); // 200x200 pixels
} catch (Exception e) {
e.printStackTrace();
}
@ -148,13 +214,25 @@ public class BarChart
public static void setPicTitle(XWPFDocument document,String date)
{
XWPFParagraph Paragraph = document.createParagraph();
// Paragraph.setAlignment(ParagraphAlignment.CENTER);
//// 边框
// Paragraph.setBorderBottom(Borders.NIL);
// Paragraph.setBorderTop(Borders.NIL);
// Paragraph.setBorderRight(Borders.NIL);
// Paragraph.setBorderLeft(Borders.NIL);
// Paragraph.setBorderBetween(Borders.SINGLE);
// Paragraph.setSpacingAfter(5);
// Paragraph.setSpacingBeforeLines(5);
// Paragraph.setSpacingBetween(5);
Paragraph.setAlignment(ParagraphAlignment.CENTER);//对齐方式
//BarChart.setLineSpace(Paragraph,30);
BarChart.setLineSpace(Paragraph,25);
XWPFRun run = Paragraph.createRun();
// run.addCarriageReturn();
run.setText(date);
run.setBold(true);//加粗
run.setFontSize(10);
run.setFontFamily("Times New Roman");
// run.setFontFamily("Times New Roman");
}
//设置题目
public static void setTitle(XWPFDocument document,String date)
@ -163,8 +241,8 @@ public class BarChart
title.setAlignment(ParagraphAlignment.CENTER);
XWPFRun runTitle = title.createRun();
runTitle.setText(date);
runTitle.setBold(false);
runTitle.setFontSize(16);
runTitle.setBold(true);
runTitle.setFontSize(20);
runTitle.setFontFamily("Times New Roman");
}
//设置行间距
@ -179,6 +257,7 @@ public class BarChart
//1磅数是20
spacing.setLine(BigInteger.valueOf(size*20));
}
public static String getDoubleNumber(Double d)
{
DecimalFormat df = new DecimalFormat("#.00");

View File

@ -10,7 +10,7 @@ import java.util.List;
* @Author: JinSheng Song
* @Date: 2022/7/11 15:32
*/
public class DateUpload
public class DateUpload extends SysSTEntity
{
private String id;

View File

@ -0,0 +1,15 @@
package com.ruoyi.system.domain_shate;
import java.util.List;
public class RegionName {
private List<RegionNameVO> regionName;
public List<RegionNameVO> getRegionName() {
return regionName;
}
public void setRegionName(List<RegionNameVO> regionName) {
this.regionName = regionName;
}
}

View File

@ -0,0 +1,29 @@
package com.ruoyi.system.domain_shate;
public class RegionNameVO {
/**
* 历史
*/
private String originalName;
/**
* 当前
*/
private String currentName;
public String getOriginalName() {
return originalName;
}
public void setOriginalName(String originalName) {
this.originalName = originalName;
}
public String getCurrentName() {
return currentName;
}
public void setCurrentName(String currentName) {
this.currentName = currentName;
}
}

View File

@ -5,6 +5,8 @@ package com.ruoyi.system.domain_shate;
* @Date: 2022/7/11 10:02
*/
public class SysSTEntity {
private String regionName;
private String link;
public String getLink() {
@ -14,4 +16,12 @@ public class SysSTEntity {
public void setLink(String link) {
this.link = link;
}
public String getRegionName() {
return regionName;
}
public void setRegionName(String regionName) {
this.regionName = regionName;
}
}

View File

@ -0,0 +1,24 @@
package com.ruoyi.system.domain_shate;
public class WordVo {
private String [] zoneList;
private String[] year;
public String[] getZoneList() {
return zoneList;
}
public void setZoneList(String[] zoneList) {
this.zoneList = zoneList;
}
public String[] getYear() {
return year;
}
public void setYear(String[] year) {
this.year = year;
}
}

View File

@ -4,7 +4,7 @@ package com.ruoyi.system.domain_shate;
* @Author: JinSheng Song
* @Date: 2022/7/23 16:38
*/
public class lanUseNew
public class lanUseNew extends SysSTEntity
{
private Integer id;

View File

@ -0,0 +1,49 @@
package com.ruoyi.system.mapper_shate;
import org.apache.ibatis.annotations.Mapper;
import org.apache.ibatis.annotations.Param;
@Mapper
public interface updateAllRegionNameMapper {
Integer altitude(@Param("regionName") String regionName,
@Param("regionName1") String regionName1);
Integer Aspect(@Param("regionName") String regionName,
@Param("regionName1") String regionName1);
Integer Slope(@Param("regionName") String regionName,
@Param("regionName1") String regionName1);
Integer salinization(@Param("regionName") String regionName,
@Param("regionName1") String regionName1);
Integer moisture(@Param("regionName") String regionName,
@Param("regionName1") String regionName1);
Integer desertification(@Param("regionName") String regionName,
@Param("regionName1") String regionName1);
Integer road(@Param("regionName") String regionName,
@Param("regionName1") String regionName1);
Integer water(@Param("regionName") String regionName,
@Param("regionName1") String regionName1);
Integer landuse(@Param("regionName") String regionName,
@Param("regionName1") String regionName1);
Integer dataUpload(@Param("regionName") String regionName,
@Param("regionName1") String regionName1);
Integer suitability(@Param("regionName") String regionName,
@Param("regionName1") String regionName1);
Integer waterArea(@Param("regionName") String regionName,
@Param("regionName1") String regionName1);
Integer seedSuccess(@Param("regionName") String regionName,
@Param("regionName1") String regionName1);
Integer healthy(@Param("regionName") String regionName,
@Param("regionName1") String regionName1);
}

View File

@ -1,6 +1,8 @@
package com.ruoyi.system.service_shate;
import com.ruoyi.common.core.domain.AjaxResult;
import com.ruoyi.system.domain_shate.LandUse;
import com.ruoyi.system.domain_shate.RegionNameVO;
import com.ruoyi.system.domain_shate.SeedingSuccessRate;
import com.ruoyi.system.domain_shate.UplodFile;
import org.apache.ibatis.annotations.Param;
@ -24,4 +26,6 @@ public interface ILandUseServices
UplodFile mainClass(String zone,String year);
AjaxResult updateAllRegionName(List<RegionNameVO> region);
}

View File

@ -1,9 +1,9 @@
package com.ruoyi.system.service_shate.impl;
import com.ruoyi.common.annotation.Excel;
import com.ruoyi.common.core.domain.AjaxResult;
import com.ruoyi.system.domain_shate.*;
import com.ruoyi.system.mapper_shate.LandUseMapper;
import com.ruoyi.system.mapper_shate.SoilFactorMapper;
import com.ruoyi.system.mapper_shate.*;
import com.ruoyi.system.service_shate.ILandUseServices;
import com.ruoyi.system.service_shate.IRegionalFactorService;
import com.ruoyi.system.service_shate.ISoilFactorService;
@ -14,17 +14,30 @@ import javax.annotation.Resource;
import java.time.Year;
import java.util.List;
import java.util.Set;
import java.util.stream.Collectors;
/**
* @Author: JinSheng Song
* @Date: 2022/7/8 11:20
*/
@Service
public class LandUseServiceipml implements ILandUseServices
{
public class LandUseServiceipml implements ILandUseServices {
@Resource
private PlantingSuitabilityMapper plantingSuitabilityMapper;
@Resource
private SeedingSuccessMapper seedingSuccessMapper;
@Resource
private VegetationHealthMapper vegetationHealthMapper;
@Resource
private LandUseMapper mapper;
@Resource
private updateAllRegionNameMapper updateAllRegionNameMapper;
@Resource
private ITopographicFactorService factorService;
@ -60,6 +73,12 @@ public class LandUseServiceipml implements ILandUseServices
public UplodFile mainClass(String zone, String year) {
UplodFile file = new UplodFile();
//播种成活率
List<SeedingSuccessRate> information= seedingSuccessMapper.sqlSeeding(zone,year);
//植被健康状况
List<VegetationHealth> vegetationHealths=vegetationHealthMapper.sqlInfo(zone,year);
//种植适宜性
List<PlantingSuitability> plantingSuitabilities=plantingSuitabilityMapper.sqlSeeding(zone);
//海拔
List<Altitude> altitude = factorService.sqlAltitude(zone, year);
//坡度
@ -76,6 +95,9 @@ public class LandUseServiceipml implements ILandUseServices
List<WaterFactor> waterFactors = regionalFactorService.sqlWater(zone, year);
//道路因子
List<RoadFactor> roadFactors = regionalFactorService.sqlRoad(zone, year);
file.setInformation(information);
file.setVegetationHealths(vegetationHealths);
file.setPlantingSuitabilities(plantingSuitabilities);
file.setWaterFactors(waterFactors);
file.setRoadFactors(roadFactors);
file.setSoilMoistures(moistures);
@ -86,4 +108,41 @@ public class LandUseServiceipml implements ILandUseServices
file.setAltitudes(altitude);
return file;
}
@Override
public AjaxResult updateAllRegionName(List<RegionNameVO> region) {
try {
List<RegionNameVO> regionNameLists = region.stream().distinct().collect(Collectors.toList());
regionNameLists.forEach(e -> {
try {
Thread.currentThread().sleep(100);
} catch (InterruptedException ex) {
throw new RuntimeException(ex);
}
String regionName = e.getCurrentName();
String regionName1 = e.getOriginalName();
System.out.println("输出参数"+regionName+regionName1);
updateAllRegionNameMapper.desertification(regionName, regionName1);
updateAllRegionNameMapper.altitude(regionName, regionName1);
updateAllRegionNameMapper.Aspect(regionName, regionName1);
updateAllRegionNameMapper.Slope(regionName, regionName1);
updateAllRegionNameMapper.salinization(regionName, regionName1);
updateAllRegionNameMapper.moisture(regionName, regionName1);
updateAllRegionNameMapper.road(regionName, regionName1);
updateAllRegionNameMapper.water(regionName, regionName1);
updateAllRegionNameMapper.landuse(regionName, regionName1);
updateAllRegionNameMapper.dataUpload(regionName,regionName1);
updateAllRegionNameMapper.suitability(regionName,regionName1);
updateAllRegionNameMapper.waterArea(regionName,regionName1);
updateAllRegionNameMapper.seedSuccess(regionName,regionName1);
updateAllRegionNameMapper.healthy(regionName,regionName1);
});
return AjaxResult.success("成功!");
}
catch (Exception e)
{
return AjaxResult.error(e.getMessage());
}
}
}

View File

@ -29,12 +29,13 @@
<result property="size" column="size"/>
<result property="month" column="month"/>
<result property="route" column="route"/>
<result property="regionName" column="region_name"/>
</resultMap>
<sql id="columns">
<![CDATA[
ID,Zone,data_id ,year1,route,link,type,month ,type1,type2,file_name,data_time,created_time,type,data_id,area,band_index,bands,cols,depth,description,extent,name,projection,resolution,size
ID,Zone,region_name,data_id ,year1,route,link,type,month ,type1,type2,file_name,data_time,created_time,type,data_id,area,band_index,bands,cols,depth,description,extent,name,projection,resolution,size
]]>
</sql>
@ -137,6 +138,7 @@
<![CDATA[
INSERT INTO Data_Upload (
zone ,
region_name,
type ,
type1 ,
type2,
@ -160,6 +162,7 @@
month,
created_time
) VALUES (
#{zone,jdbcType=VARCHAR},
#{zone,jdbcType=VARCHAR},
#{type,jdbcType=VARCHAR},
#{type1,jdbcType=VARCHAR},

View File

@ -4,9 +4,9 @@
"http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.ruoyi.system.mapper_shate.LandUseMapper">
<resultMap id="RM_Seeding" type="com.ruoyi.system.domain_shate.LandUse">
<result property="id" column="id"/>
<result property="zone" column="zone"/>
<result property="regionName" column="region_name"/>
<result property="landUse" column="Land_use"/>
<result property="area" column="area"/>
<result property="total" column="total"/>
@ -22,7 +22,7 @@
<sql id="columns">
<![CDATA[
ID,zone,land_use,year1,total,area,percent,Image_date,Product_code1,Product_code2,Product_code3,created_by
ID,zone,region_name,land_use,year1,total,area,percent,Image_date,Product_code1,Product_code2,Product_code3,created_by
]]>
</sql>
@ -43,6 +43,7 @@
SELECT <include refid="columns"/> FROM landuse
where 1=1
<if test="zone!= null and zone !=''">
AND zone = #{zone}
</if>
<if test="year!= null and year !=''">
@ -52,13 +53,14 @@
</select>
<select id="sqlYear" resultMap="RM_Seeding">
SELECT distinct year1,ZONE FROM landuse ORDER BY ZONE
SELECT distinct year1,ZONE,region_name FROM landuse ORDER BY ZONE
</select>
<insert id="insertSeeding">
<![CDATA[
INSERT INTO landuse (
zone ,
region_name,
Land_use,
total,
area ,
@ -70,6 +72,7 @@
year1,
created_by
) VALUES (
#{zone,jdbcType=VARCHAR},
#{zone,jdbcType=VARCHAR},
#{landUse,jdbcType=DOUBLE},
#{total,jdbcType=DOUBLE},

View File

@ -7,6 +7,7 @@
<result property="id" column="id"/>
<result property="zone" column="zone"/>
<result property="regionName" column="region_name"/>
<result property="verySuitable" column="very_suitable"/>
<result property="suitable" column="Suitable"/>
<result property="notSuitable" column="Not_Suitable"/>
@ -22,7 +23,7 @@
<sql id="columns">
<![CDATA[
ID,zone,very_suitable,year1,Suitable,Not_Suitable,Total_Area,Image_date,Product_code1,Product_code2,Product_code3,created_by,created_time
ID,zone,region_name,very_suitable,year1,Suitable,Not_Suitable,Total_Area,Image_date,Product_code1,Product_code2,Product_code3,created_by,created_time
]]>
</sql>
@ -47,13 +48,14 @@
</select>
<select id="sqlYear" resultMap="RM_Seeding">
SELECT distinct year1,ZONE FROM suitability
SELECT distinct year1,ZONE,region_name FROM suitability
</select>
<insert id="InsertSeeding">
<![CDATA[
INSERT INTO suitability (
zone ,
region_name,
very_suitable,
Suitable ,
Not_Suitable ,
@ -65,6 +67,7 @@
year1,
created_by
) VALUES (
#{zone,jdbcType=VARCHAR},
#{zone,jdbcType=VARCHAR},
#{verySuitable,jdbcType=DOUBLE},
#{suitable,jdbcType=DOUBLE},

View File

@ -6,6 +6,7 @@
<resultMap id="RM_Seeding" type="com.ruoyi.system.domain_shate.WaterFactor">
<result property="id" column="id"/>
<result property="zone" column="zone"/>
<result property="regionName" column="region_name"/>
<result property="level1" column="level1"/>
<result property="level2" column="level2"/>
<result property="level3" column="level3"/>
@ -23,6 +24,7 @@
<resultMap id="RM_Road" type="com.ruoyi.system.domain_shate.RoadFactor">
<result property="id" column="id"/>
<result property="zone" column="zone"/>
<result property="regionName" column="region_name"/>
<result property="level1" column="level1"/>
<result property="level2" column="level2"/>
<result property="level3" column="level3"/>
@ -39,6 +41,7 @@
<resultMap id="RM_Region" type="com.ruoyi.system.domain_shate.RegionIndex">
<result property="id" column="id"/>
<result property="zone" column="zone"/>
<result property="regionName" column="region_name"/>
<result property="waterArea" column="Water_area"/>
<result property="roadLength" column="Road_length"/>
<result property="imageDate" column="Image_date"/>
@ -59,7 +62,7 @@
<sql id="columns">
<![CDATA[
ID,zone,level5,year1,level1,level2,level3,level4,Image_date,Product_code1,Product_code2,created_by
ID,zone,region_name,level5,year1,level1,level2,level3,level4,Image_date,Product_code1,Product_code2,created_by
]]>
</sql>
<sql id="Region">
@ -97,7 +100,7 @@
</select>
<select id="sqlRegion" resultMap="RM_Region">
select a.zone as zone,a.year1 as year1,a.water_area as water_area,
select a.zone as zone,a.year1 as year1,a.water_area as water_area,a.region_name as region_name,
b.road_length as road_length,a.image_date as image_date,
a.product_code as product_code,b.product_code as product_code1
FROM water_area a join road_length b
@ -113,7 +116,7 @@
</select>
<select id="sqlYear1" resultMap="RM_Region">
SELECT distinct year1,ZONE FROM water_area
SELECT distinct year1,ZONE,region_name FROM water_area
</select>
<select id="sqlRoad" resultMap="RM_Road">
@ -127,13 +130,14 @@
</if>
</select>
<select id="sqlYear2" resultMap="RM_Road">
SELECT distinct year1,ZONE FROM road
SELECT distinct year1,ZONE,region_name FROM road
</select>
<insert id="InsertWater">
<![CDATA[
INSERT INTO water (
zone ,
region_name,
level1,
level2 ,
level3 ,
@ -145,6 +149,7 @@
year1,
created_by
) VALUES (
#{zone,jdbcType=VARCHAR},
#{zone,jdbcType=VARCHAR},
#{level1,jdbcType=DOUBLE},
#{level2,jdbcType=DOUBLE},
@ -163,6 +168,7 @@
<![CDATA[
INSERT INTO road (
zone ,
region_name,
level1,
level2 ,
level3 ,
@ -174,6 +180,7 @@
year1,
created_by
) VALUES (
#{zone,jdbcType=VARCHAR},
#{zone,jdbcType=VARCHAR},
#{level1,jdbcType=DOUBLE},
#{level2,jdbcType=DOUBLE},
@ -194,11 +201,13 @@
<![CDATA[
INSERT INTO water_area (
zone ,
region_name,
Water_area,
Image_date ,
Product_code,
year1
) VALUES (
#{zone,jdbcType=VARCHAR},
#{zone,jdbcType=VARCHAR},
#{waterArea,jdbcType=DOUBLE},
#{imageDate,jdbcType=VARCHAR},

View File

@ -7,6 +7,7 @@
<result property="id" column="id"/>
<result property="zone" column="zone"/>
<result property="regionName" column="region_name"/>
<result property="plantingArea" column="Planting_area"/>
<result property="seedingSuccessArea" column="Seeding_success_area"/>
<result property="seedingSuccess" column="seeding_success"/>
@ -28,6 +29,7 @@
<select id="sqlSeeding" resultMap="RM_Seeding">
select distinct a.product_code2 as Product_code2,
a.region_name as region_name,
a.zone as zone,
a.seeding_success_rate as seeding_success,
a.product_code1 as productCode1,
@ -49,7 +51,7 @@
</select>
<select id="sqlYear" resultMap="RM_Seeding">
SELECT distinct year1,ZONE FROM "seed_Success"
SELECT distinct year1,ZONE,region_name FROM "seed_Success"
</select>
<insert id="InsertSeeding2">
@ -74,12 +76,14 @@
<![CDATA[
INSERT INTO "seed_Success" (
zone ,
region_name,
seeding_Success_Rate ,
Image_date ,
Product_code1 ,
year1 ,
Product_code2
) VALUES (
#{zone,jdbcType=VARCHAR},
#{zone,jdbcType=VARCHAR},
#{seedingSuccess,jdbcType=DOUBLE},
#{imageDate,jdbcType=VARCHAR},

View File

@ -6,6 +6,7 @@
<resultMap id="RM_Desert" type="com.ruoyi.system.domain_shate.SoilDesertification">
<result property="id" column="id"/>
<result property="zone" column="zone"/>
<result property="regionName" column="region_name"/>
<result property="level1" column="level1"/>
<result property="level2" column="level2"/>
<result property="level3" column="level3"/>
@ -22,6 +23,7 @@
<resultMap id="RM_Moisture" type="com.ruoyi.system.domain_shate.SoilMoisture">
<result property="id" column="id"/>
<result property="zone" column="zone"/>
<result property="regionName" column="region_name"/>
<result property="level1" column="level1"/>
<result property="level2" column="level2"/>
<result property="level3" column="level3"/>
@ -38,6 +40,7 @@
<resultMap id="RM_Salin" type="com.ruoyi.system.domain_shate.SoilSalinization">
<result property="id" column="id"/>
<result property="zone" column="zone"/>
<result property="regionName" column="region_name"/>
<result property="level1" column="level1"/>
<result property="level2" column="level2"/>
<result property="level3" column="level3"/>
@ -53,7 +56,7 @@
<sql id="columns">
<![CDATA[
ID,zone,level5,year1,level1,level2,level3,level4,Image_date,Product_code1,Product_code2,created_by
ID,zone,region_name,level5,year1,level1,level2,level3,level4,Image_date,Product_code1,Product_code2,created_by
]]>
</sql>
@ -70,7 +73,7 @@
</select>
<select id="sqlYear" resultMap="RM_Desert">
SELECT distinct year1,ZONE FROM desertification
SELECT distinct year1,ZONE,region_name FROM desertification
</select>
<select id="sqlMoisture" resultMap="RM_Moisture">
@ -85,7 +88,7 @@
</select>
<select id="sqlYear1" resultMap="RM_Moisture">
SELECT distinct year1,ZONE FROM moisture
SELECT distinct year1,ZONE,region_name FROM moisture
</select>
<select id="sqlSalin" resultMap="RM_Salin">
@ -100,13 +103,14 @@
</select>
<select id="sqlYear2" resultMap="RM_Salin">
SELECT distinct year1,ZONE FROM salinization
SELECT distinct year1,ZONE,region_name FROM salinization
</select>
<insert id="InsertDesert">
<![CDATA[
INSERT INTO desertification (
zone ,
region_name,
level1,
level2 ,
level3 ,
@ -118,6 +122,7 @@
year1,
created_by
) VALUES (
#{zone,jdbcType=VARCHAR},
#{zone,jdbcType=VARCHAR},
#{level1,jdbcType=DOUBLE},
#{level2,jdbcType=DOUBLE},
@ -136,6 +141,7 @@
<![CDATA[
INSERT INTO moisture (
zone ,
region_name,
level1,
level2 ,
level3 ,
@ -147,6 +153,7 @@
year1,
created_by
) VALUES (
#{zone,jdbcType=VARCHAR},
#{zone,jdbcType=VARCHAR},
#{level1,jdbcType=DOUBLE},
#{level2,jdbcType=DOUBLE},
@ -166,6 +173,7 @@
<![CDATA[
INSERT INTO salinization (
zone ,
region_name,
level1,
level2 ,
level3 ,
@ -177,6 +185,7 @@
year1,
created_by
) VALUES (
#{zone,jdbcType=VARCHAR},
#{zone,jdbcType=VARCHAR},
#{level1,jdbcType=DOUBLE},
#{level2,jdbcType=DOUBLE},

View File

@ -6,6 +6,7 @@
<resultMap id="RM_Altitude" type="com.ruoyi.system.domain_shate.Altitude">
<result property="id" column="id"/>
<result property="zone" column="zone"/>
<result property="regionName" column="region_name"/>
<result property="level1" column="level1"/>
<result property="level2" column="level2"/>
<result property="level3" column="level3"/>
@ -22,6 +23,7 @@
<resultMap id="RM_Aspect" type="com.ruoyi.system.domain_shate.Aspect">
<result property="id" column="id"/>
<result property="zone" column="zone"/>
<result property="regionName" column="region_name"/>
<result property="north" column="North"/>
<result property="northeast" column="Northeast"/>
<result property="east" column="East"/>
@ -41,6 +43,7 @@
<resultMap id="RM_Slope" type="com.ruoyi.system.domain_shate.Slope">
<result property="id" column="id"/>
<result property="zone" column="zone"/>
<result property="regionName" column="region_name"/>
<result property="level1" column="level1"/>
<result property="level2" column="level2"/>
<result property="level3" column="level3"/>
@ -55,13 +58,13 @@
<sql id="columns">
<![CDATA[
ID,zone,level5,year1,level1,level2,level3,level4,Image_date,Product_code1,Product_code2,created_by
ID,zone,region_name,level5,year1,level1,level2,level3,level4,Image_date,Product_code1,Product_code2,created_by
]]>
</sql>
<sql id="Aspect">
<![CDATA[
ID,zone,north,year1,northeast,east,southeast,south,southwest,west,northwest,Image_date,Product_code1,Product_code2,created_by
ID,zone,region_name,north,year1,northeast,east,southeast,south,southwest,west,northwest,Image_date,Product_code1,Product_code2,created_by
]]>
</sql>
@ -77,7 +80,7 @@
</select>
<select id="sqlYear" resultMap="RM_Altitude">
SELECT distinct year1,ZONE FROM Altitude
SELECT distinct year1,ZONE,region_name FROM Altitude
</select>
@ -93,7 +96,7 @@
</select>
<select id="sqlYear1" resultMap="RM_Slope">
SELECT distinct year1,ZONE FROM Slope
SELECT distinct year1,ZONE,region_name FROM Slope
</select>
<select id="sqlAspect" resultMap="RM_Aspect">
@ -108,13 +111,14 @@
</select>
<select id="sqlYear2" resultMap="RM_Aspect">
SELECT distinct year1,ZONE FROM Aspect
SELECT distinct year1,ZONE,region_name FROM Aspect
</select>
<insert id="InsertAltitude">
<![CDATA[
INSERT INTO Altitude (
zone ,
region_name,
level1,
level2 ,
level3 ,
@ -126,6 +130,7 @@
year1,
created_by
) VALUES (
#{zone,jdbcType=VARCHAR},
#{zone,jdbcType=VARCHAR},
#{level1,jdbcType=DOUBLE},
#{level2,jdbcType=DOUBLE},
@ -145,6 +150,7 @@
<![CDATA[
INSERT INTO Aspect (
zone ,
region_name,
North,
Northeast ,
East ,
@ -159,6 +165,7 @@
year1,
created_by
) VALUES (
#{zone,jdbcType=VARCHAR},
#{zone,jdbcType=VARCHAR},
#{north,jdbcType=DOUBLE},
#{northeast,jdbcType=DOUBLE},
@ -181,6 +188,7 @@
<![CDATA[
INSERT INTO Slope (
zone ,
region_name,
level1,
level2 ,
level3 ,
@ -192,6 +200,7 @@
year1,
created_by
) VALUES (
#{zone,jdbcType=VARCHAR},
#{zone,jdbcType=VARCHAR},
#{level1,jdbcType=DOUBLE},
#{level2,jdbcType=DOUBLE},

View File

@ -7,6 +7,7 @@
<result property="id" column="id"/>
<result property="zone" column="zone"/>
<result property="regionName" column="region_name"/>
<result property="healthy" column="healthy"/>
<result property="normal" column="Normal"/>
<result property="notHealthy" column="Not_Healthy"/>

View File

@ -0,0 +1,66 @@
<?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.ruoyi.system.mapper_shate.updateAllRegionNameMapper">
<update id="altitude">
UPDATE altitude SET region_name=#{regionName} where region_name=#{regionName1}
</update>
<update id="Aspect">
UPDATE Aspect SET region_name=#{regionName} where region_name=#{regionName1}
</update>
<update id="Slope">
UPDATE Slope SET region_name=#{regionName} where region_name=#{regionName1}
</update>
<update id="salinization">
UPDATE salinization SET region_name=#{regionName} where region_name=#{regionName1}
</update>
<update id="moisture">
UPDATE moisture SET region_name=#{regionName} where region_name=#{regionName1}
</update>
<update id="desertification">
UPDATE desertification SET region_name=#{regionName} where region_name=#{regionName1}
</update>
<update id="road">
UPDATE road SET region_name=#{regionName} where region_name=#{regionName1}
</update>
<update id="water">
UPDATE water SET region_name=#{regionName} where region_name=#{regionName1}
</update>
<update id="landuse">
UPDATE landuse SET region_name=#{regionName} where region_name=#{regionName1}
</update>
<update id="dataUpload">
UPDATE data_upload SET region_name=#{regionName} where region_name=#{regionName1}
</update>
<update id="suitability">
UPDATE suitability SET region_name=#{regionName} where region_name=#{regionName1}
</update>
<update id="waterArea">
UPDATE water_area SET region_name=#{regionName} where region_name=#{regionName1}
</update>
<update id="seedSuccess">
UPDATE "seed_Success" SET region_name=#{regionName} where region_name=#{regionName1}
</update>
<update id="healthy">
UPDATE healthy SET region_name=#{regionName} where region_name=#{regionName1}
</update>
<!-- <update id="healthy">-->
<!-- UPDATE vegetation_Distribution SET region_name=#{regionName} where region_name=#{regionName1}-->
<!-- </update>-->
</mapper>