Song/xkrs_shate
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Compare commits

base: Song:bc3cd91c6a681015d83f54abf7232e4a3a55c629
Branches Tags
Song:main
Song:dev_sjs
Song:dev_zsh
Song:dev_st
Song:dev_xianxia
..
compare: Song:48e607e8b1a5ed1270f0b6a328d91e8452f62cde
Branches Tags
Song:dev_sjs
Song:dev_zsh
Song:dev_st
Song:dev_xianxia
Song:main

No commits in common. "bc3cd91c6a681015d83f54abf7232e4a3a55c629" and "48e607e8b1a5ed1270f0b6a328d91e8452f62cde" have entirely different histories.
bc3cd91c6a ... 48e607e8b1

24 changed files with 248 additions and 821 deletions
Show Stats Expand all files Collapse all files

2
ruoyi-admin/src/main/java/com/ruoyi/RuoYiApplication.java
View File

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

541
ruoyi-admin/src/main/java/com/ruoyi/web/controller/shate/DateUploadController.java
View File

@ -1,6 +1,5 @@
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;
@ -9,14 +8,10 @@ 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.*;
@ -32,11 +27,8 @@ 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
@ -70,8 +62,6 @@ public class DateUploadController {
private String ShpPaths;
private String MapExePath;
@RequestMapping(value = "/SelectUpload", method = {RequestMethod.POST})
public AjaxResult SelectUpload(@RequestBody paging paging) {
@ -116,6 +106,22 @@ 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);
}
@ -352,37 +358,6 @@ 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
*
@ -407,7 +382,7 @@ public class DateUploadController {
ProcessBuilder pb = new ProcessBuilder();
pb.command(cmd);
proc = pb.start();
System.out.println("Start calling algorithm(tif)");
System.out.println("Start calling algorithm");
bufferedReader = new BufferedReader(new InputStreamReader(proc.getErrorStream()));
String aa = null;
@ -442,7 +417,6 @@ public class DateUploadController {
@Override
public void run() {
callExe1(FileName, FilePath);
callExe(FileName, FilePath, ShpPath);
}
}
@ -510,7 +484,6 @@ public class DateUploadController {
return AjaxResult.success("成功！");
}
public void readXml() {
try {
// 创建解析器工厂
@ -545,8 +518,6 @@ public class DateUploadController {
this.FilePaths = childNodes.item(5).getTextContent().trim();
this.ShpPaths = childNodes.item(7).getTextContent().trim();
this.MapExePath = childNodes.item(9).getTextContent().trim();
}
}
}
@ -555,322 +526,166 @@ 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.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[] 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
BarChart.setTitle(docxDocument, "Evaluation report of planting monitoring in ITBA Nature Reserve ");
//创建第一个段落的标题
BarChart.createFirstLevelTopic(docxDocument, "1.Background information");
//创建第一个段落的内容
BarChart.createParagraphAndInsertWord(docxDocument, "Date time: " + year);
//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 + ")");
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[]{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 "
+ 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, 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[]{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 " + 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, 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[]{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 " + 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, 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[]{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 " + 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, 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", "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 " + 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, filePath + main.getSoilMoistures().get(0).getProductCode2() + ".jpg");
BarChart.setPicTitle(docxDocument, "Figure " + (number + 11) + " Spatial distribution data of soil moisture factor");
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 " + 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, filePath + main.getSoilSalinizations().get(0).getProductCode2() + ".jpg");
BarChart.setPicTitle(docxDocument, "Figure " + (number + 13) + " Spatial distribution data of soil salinization factor");
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 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, filePath + main.getRoadFactors().get(0).getProductCode2() + ".jpg");
BarChart.setPicTitle(docxDocument, "Figure " + (number + 15) + " Spatial distribution data of road factor");
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 " + 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, filePath + main.getWaterFactors().get(0).getProductCode2() + ".jpg");
BarChart.setPicTitle(docxDocument, "Figure " + (number + 17) + " Spatial distribution data of water factor");
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 " + 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, 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() / 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 " + 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 - " + "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());
@RequestMapping(value = "/exportWord1", method = {RequestMethod.GET})
@ResponseBody
public void exportWord1(HttpServletResponse response, HttpServletRequest request) throws Exception {
String [] zoneList=new String[]{"01","02","03"};
//接受前端传来的数据
String year = "2022";
//创建文本对象
CustomXWPFDocument docxDocument = new CustomXWPFDocument();
//创建标题
BarChart.setTitle(docxDocument, "Evaluation report of planting monitoring in ITBA Nature Reserve");
//创建第一个段落的标题
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;
}
return AjaxResult.success("成功！");
zoneString=zoneString.substring(0,zoneString.length()-3);
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);
//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()};
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.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.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
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.");
//坡向
BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).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
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.");
//坡度
BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).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()};
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.");
//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.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()};
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.");
//湿度指数
BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).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()};
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.");
//盐渍化指数
BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).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()};
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.");
//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.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()};
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.");
//水域因子
BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).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()};
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.");
//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.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[] 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)+"%.");
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";
response.setHeader("Content-Disposition", "attachment;fileName=" + new String(fileName.getBytes("UTF-8"), "ISO-8859-1"));
ServletOutputStream responseOutputStream = response.getOutputStream();
docxDocument.write(responseOutputStream);
responseOutputStream.flush();
responseOutputStream.close();
}
@ -911,7 +726,7 @@ 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())) +
// " km², the vegetation survival area was "+seedingSuccessRate.getSeedingSuccessArea()+" km², and the seeding success rate was "+seedingSuccessRate.getSeedingSuccess()+"%.");
// " hm², the vegetation survival area was "+seedingSuccessRate.getSeedingSuccessArea()+" hm², 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");
@ -940,9 +755,9 @@ 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\\sjs\\Desktop\\R-C.jpg");
// BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg");
// BarChart.setPicTitle(docxDocument, "Spatial distribution data of vegetation planting area");
// BarChart.insertPic(docxDocument, "C:\\Users\\sjs\\Desktop\\R-C.jpg");
// BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).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"};
@ -952,7 +767,7 @@ 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()+" 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)+"%.");
// 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)+"%.");
// }
// }
// //第三段的第二个小标题
@ -961,9 +776,9 @@ 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\\sjs\\Desktop\\R-C.jpg");
// BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg");
// BarChart.setPicTitle(docxDocument, "Spatial distribution data of vegetation planting area");
// BarChart.insertPic(docxDocument, "C:\\Users\\sjs\\Desktop\\R-C.jpg");
// BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).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"};
@ -973,7 +788,7 @@ 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() + " 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) + "%.");
// 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) + "%.");
// }
// }
// //第四个标题
@ -983,7 +798,7 @@ 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\\sjs\\Desktop\\R-C.jpg");
// BarChart.insertPic(docxDocument,"C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).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"};
@ -993,7 +808,7 @@ 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()+" 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)+"%.");
// 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)+"%.");
// }
// response.setCharacterEncoding("UTF-8");
// response.setContentType("application/msword");

10
ruoyi-admin/src/main/java/com/ruoyi/web/controller/shate/LandUseController.java
View File

@ -95,7 +95,6 @@ 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());
@ -103,14 +102,12 @@ 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());
@ -118,7 +115,6 @@ 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());
@ -126,7 +122,6 @@ 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());
@ -134,7 +129,6 @@ 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());
@ -142,7 +136,6 @@ 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());
@ -150,7 +143,6 @@ 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());
@ -158,7 +150,6 @@ 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());
@ -166,7 +157,6 @@ 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);

8
ruoyi-admin/src/main/resources/application.yml
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: /
@ -60,7 +60,7 @@ spring:
# redis 配置
redis:
# 地址
# host: rs-middleware-redis
#host: rs-middleware-redis
host: localhost
# 端口，默认为6379
#port: 14096
@ -68,7 +68,7 @@ spring:
# 数据库索引
database: 0
# 密码
# password: SenseTime@2019
#password: SenseTime@2019
password: sdust2020
# 连接超时时间
timeout: 10s
@ -140,4 +140,4 @@ xss:
# 排除链接（多个用逗号分隔）
excludes: /system/notice/*
# 匹配链接
urlPatterns: /system/*,/monitor/*,/tool/*
urlPatterns: /system/*,/monitor/*,/tool/*

0
ruoyi-admin/src/main/resources/config/application.properties Normal file
View File

133
ruoyi-common/src/main/java/com/ruoyi/common/utils/BarChart.java
View File

@ -1,26 +1,21 @@
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.*;
import java.math.BigDecimal;
import java.io.FileInputStream;
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.*;
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;
/**
@ -31,74 +26,6 @@ import org.openxmlformats.schemas.wordprocessingml.x2006.main.*;
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);
@ -113,7 +40,7 @@ public class BarChart
// 6、Y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("km²");
yAxis.setTitle("hm²");
// 7、创建折线图对象
XDDFLineChartData lineChart = (XDDFLineChartData) xChart.createData(ChartTypes.LINE, xAxis, yAxis);
@ -128,12 +55,21 @@ 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);
XWPFChart chart=document.createChart(15 * Units.EMU_PER_CENTIMETER, 11 * Units.EMU_PER_CENTIMETER);
chart.setTitleText("");
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
chart.setTitleOverlay(false); // 图例是否覆盖标题
chart.setChartBottomMargin(50);
//XDDFChartLegend legend = chart.getOrAddLegend();
//legend.setPosition(LegendPosition.TOP); // 图例位置:上下左右
// 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
@ -141,7 +77,7 @@ 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(km²)"); // Y轴标题
yAxis.setTitle("Area(hm²)"); // 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;
@ -151,11 +87,9 @@ public class BarChart
barChart.setVaryColors(false);
// 加载柱状图数据集
XDDFBarChartData.Series barSeries = (XDDFBarChartData.Series) barChart.addSeries(xAxisSource, yAxisSource);
barSeries.setTitle(" ", null); // 图例标题
barSeries.setTitle(" ", null); // 图例标题
// 绘制柱状图
chart.plot(barChart);
}
//插入图片
@ -168,7 +102,7 @@ public class BarChart
(fileAddress)) {
run.addPicture(is, XWPFDocument.PICTURE_TYPE_PNG,
fileAddress,
Units.toEMU(392), Units.toEMU(280)); // 200x200 pixels
Units.toEMU(185), Units.toEMU(223)); // 200x200 pixels
} catch (Exception e) {
e.printStackTrace();
}
@ -214,25 +148,13 @@ 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,25);
//BarChart.setLineSpace(Paragraph,30);
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)
@ -241,8 +163,8 @@ public class BarChart
title.setAlignment(ParagraphAlignment.CENTER);
XWPFRun runTitle = title.createRun();
runTitle.setText(date);
runTitle.setBold(true);
runTitle.setFontSize(20);
runTitle.setBold(false);
runTitle.setFontSize(16);
runTitle.setFontFamily("Times New Roman");
}
//设置行间距
@ -257,7 +179,6 @@ 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");

2
ruoyi-system/src/main/java/com/ruoyi/system/domain_shate/DateUpload.java
View File

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

15
ruoyi-system/src/main/java/com/ruoyi/system/domain_shate/RegionName.java
View File

@ -1,15 +0,0 @@
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;
}
}

29
ruoyi-system/src/main/java/com/ruoyi/system/domain_shate/RegionNameVO.java
View File

@ -1,29 +0,0 @@
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;
}
}

10
ruoyi-system/src/main/java/com/ruoyi/system/domain_shate/SysSTEntity.java
View File

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

24
ruoyi-system/src/main/java/com/ruoyi/system/domain_shate/WordVo.java
View File

@ -1,24 +0,0 @@
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;
}
}

2
ruoyi-system/src/main/java/com/ruoyi/system/domain_shate/lanUseNew.java
View File

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

49
ruoyi-system/src/main/java/com/ruoyi/system/mapper_shate/updateAllRegionNameMapper.java
View File

@ -1,49 +0,0 @@
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);
}

4
ruoyi-system/src/main/java/com/ruoyi/system/service_shate/ILandUseServices.java
View File

@ -1,8 +1,6 @@
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;
@ -26,6 +24,4 @@ public interface ILandUseServices
UplodFile mainClass(String zone,String year);
AjaxResult updateAllRegionName(List<RegionNameVO> region);
}

93
ruoyi-system/src/main/java/com/ruoyi/system/service_shate/impl/LandUseServiceipml.java
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.*;
import com.ruoyi.system.mapper_shate.LandUseMapper;
import com.ruoyi.system.mapper_shate.SoilFactorMapper;
import com.ruoyi.system.service_shate.ILandUseServices;
import com.ruoyi.system.service_shate.IRegionalFactorService;
import com.ruoyi.system.service_shate.ISoilFactorService;
@ -14,30 +14,17 @@ 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 {
@Resource
private PlantingSuitabilityMapper plantingSuitabilityMapper;
@Resource
private SeedingSuccessMapper seedingSuccessMapper;
@Resource
private VegetationHealthMapper vegetationHealthMapper;
public class LandUseServiceipml implements ILandUseServices
{
@Resource
private LandUseMapper mapper;
@Resource
private updateAllRegionNameMapper updateAllRegionNameMapper;
@Resource
private ITopographicFactorService factorService;
@ -48,14 +35,14 @@ public class LandUseServiceipml implements ILandUseServices {
private IRegionalFactorService regionalFactorService;
@Override
public List<LandUse> sqlSeeding(String zone, String[] landUses, String year) {
List<LandUse> value = mapper.sqlSeeding(zone, landUses, year);
public List<LandUse> sqlSeeding(String zone, String[] landUses,String year) {
List<LandUse> value=mapper.sqlSeeding(zone, landUses,year);
return value;
}
@Override
public List<LandUse> sqlSeeding1(String zone, String year) {
List<LandUse> value = mapper.sqlSeeding1(zone, year);
List<LandUse> value=mapper.sqlSeeding1(zone,year);
return value;
}
@ -70,34 +57,25 @@ public class LandUseServiceipml implements ILandUseServices {
}
@Override
public UplodFile mainClass(String zone, String year) {
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);
UplodFile file=new UplodFile();
//海拔
List<Altitude> altitude = factorService.sqlAltitude(zone, year);
List<Altitude> altitude = factorService.sqlAltitude(zone,year);
//坡度
List<Slope> slopes = factorService.sqlSlope(zone, year);
List<Slope> slopes = factorService.sqlSlope(zone,year);
//坡向
List<Aspect> aspects = factorService.sqlAspect(zone, year);
List<Aspect> aspects = factorService.sqlAspect(zone,year);
//沙化指数
List<SoilDesertification> desertifications = soilFactorService.sqlDesert(zone, year);
List<SoilDesertification> desertifications=soilFactorService.sqlDesert(zone,year);
//湿度指数
List<SoilMoisture> moistures = soilFactorService.sqlMoisture(zone, year);
List<SoilMoisture> moistures=soilFactorService.sqlMoisture(zone,year);
//盐渍化指数
List<SoilSalinization> salinizations = soilFactorService.sqlSalin(zone, year);
List<SoilSalinization> salinizations=soilFactorService.sqlSalin(zone,year);
//水域因子
List<WaterFactor> waterFactors = regionalFactorService.sqlWater(zone, year);
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);
List<RoadFactor> roadFactors=regionalFactorService.sqlRoad(zone,year);
file.setWaterFactors(waterFactors);
file.setRoadFactors(roadFactors);
file.setSoilMoistures(moistures);
@ -108,41 +86,4 @@ 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());
}
}
}

5
ruoyi-system/src/main/resources/mapper/system/DateUploadMapper.xml
View File

@ -29,13 +29,12 @@
<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,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
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
]]>
</sql>
@ -138,7 +137,6 @@
<![CDATA[
INSERT INTO Data_Upload (
zone ,
region_name,
type ,
type1 ,
type2,
@ -162,7 +160,6 @@
month,
created_time
) VALUES (
#{zone,jdbcType=VARCHAR},
#{zone,jdbcType=VARCHAR},
#{type,jdbcType=VARCHAR},
#{type1,jdbcType=VARCHAR},

9
ruoyi-system/src/main/resources/mapper/system/LandUseMapper.xml
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,region_name,land_use,year1,total,area,percent,Image_date,Product_code1,Product_code2,Product_code3,created_by
ID,zone,land_use,year1,total,area,percent,Image_date,Product_code1,Product_code2,Product_code3,created_by
]]>
</sql>
@ -43,7 +43,6 @@
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 !=''">
@ -53,14 +52,13 @@
</select>
<select id="sqlYear" resultMap="RM_Seeding">
SELECT distinct year1,ZONE,region_name FROM landuse ORDER BY ZONE
SELECT distinct year1,ZONE FROM landuse ORDER BY ZONE
</select>
<insert id="insertSeeding">
<![CDATA[
INSERT INTO landuse (
zone ,
region_name,
Land_use,
total,
area ,
@ -72,7 +70,6 @@
year1,
created_by
) VALUES (
#{zone,jdbcType=VARCHAR},
#{zone,jdbcType=VARCHAR},
#{landUse,jdbcType=DOUBLE},
#{total,jdbcType=DOUBLE},

7
ruoyi-system/src/main/resources/mapper/system/PlantingSuitabilityMapper.xml
View File

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

17
ruoyi-system/src/main/resources/mapper/system/RegionalFactorMapper.xml
View File

@ -6,7 +6,6 @@
<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"/>
@ -24,7 +23,6 @@
<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"/>
@ -41,7 +39,6 @@
<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"/>
@ -62,7 +59,7 @@
<sql id="columns">
<![CDATA[
ID,zone,region_name,level5,year1,level1,level2,level3,level4,Image_date,Product_code1,Product_code2,created_by
ID,zone,level5,year1,level1,level2,level3,level4,Image_date,Product_code1,Product_code2,created_by
]]>
</sql>
<sql id="Region">
@ -100,7 +97,7 @@
</select>
<select id="sqlRegion" resultMap="RM_Region">
select a.zone as zone,a.year1 as year1,a.water_area as water_area,a.region_name as region_name,
select a.zone as zone,a.year1 as year1,a.water_area as water_area,
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
@ -116,7 +113,7 @@
</select>
<select id="sqlYear1" resultMap="RM_Region">
SELECT distinct year1,ZONE,region_name FROM water_area
SELECT distinct year1,ZONE FROM water_area
</select>
<select id="sqlRoad" resultMap="RM_Road">
@ -130,14 +127,13 @@
</if>
</select>
<select id="sqlYear2" resultMap="RM_Road">
SELECT distinct year1,ZONE,region_name FROM road
SELECT distinct year1,ZONE FROM road
</select>
<insert id="InsertWater">
<![CDATA[
INSERT INTO water (
zone ,
region_name,
level1,
level2 ,
level3 ,
@ -149,7 +145,6 @@
year1,
created_by
) VALUES (
#{zone,jdbcType=VARCHAR},
#{zone,jdbcType=VARCHAR},
#{level1,jdbcType=DOUBLE},
#{level2,jdbcType=DOUBLE},
@ -168,7 +163,6 @@
<![CDATA[
INSERT INTO road (
zone ,
region_name,
level1,
level2 ,
level3 ,
@ -180,7 +174,6 @@
year1,
created_by
) VALUES (
#{zone,jdbcType=VARCHAR},
#{zone,jdbcType=VARCHAR},
#{level1,jdbcType=DOUBLE},
#{level2,jdbcType=DOUBLE},
@ -201,13 +194,11 @@
<![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},

6
ruoyi-system/src/main/resources/mapper/system/SeedingSuccessMapper.xml
View File

@ -7,7 +7,6 @@
<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"/>
@ -29,7 +28,6 @@
<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,
@ -51,7 +49,7 @@
</select>
<select id="sqlYear" resultMap="RM_Seeding">
SELECT distinct year1,ZONE,region_name FROM "seed_Success"
SELECT distinct year1,ZONE FROM "seed_Success"
</select>
<insert id="InsertSeeding2">
@ -76,14 +74,12 @@
<![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},

17
ruoyi-system/src/main/resources/mapper/system/SoilFactorMapper.xml
View File

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

19
ruoyi-system/src/main/resources/mapper/system/TopographicFactorMapper.xml
View File

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

1
ruoyi-system/src/main/resources/mapper/system/VegetationHealthMapper.xml
View File

@ -7,7 +7,6 @@
<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"/>

66
ruoyi-system/src/main/resources/mapper/system/updateAllRegionNameMapper.xml
View File

@ -1,66 +0,0 @@
<?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>