报告修改

This commit is contained in:
sjs 2022-11-17 17:23:48 +08:00
parent cf9644ef29
commit 48e607e8b1
12 changed files with 622 additions and 340 deletions

View File

@ -1,16 +1,18 @@
package com.ruoyi.web.controller.shate;
import com.fasterxml.jackson.datatype.jsr310.deser.InstantDeserializer;
import com.ruoyi.common.core.domain.AjaxResult;
import com.ruoyi.common.utils.BarChart;
import com.ruoyi.common.utils.CustomXWPFDocument;
import com.ruoyi.common.utils.shate.PageUtils;
import com.ruoyi.system.domain_shate.*;
import com.ruoyi.system.service_shate.IDateUploadService;
import com.ruoyi.system.service_shate.IPlantingSuitabilityService;
import com.ruoyi.system.service_shate.ISeedingSuccessService;
import com.ruoyi.system.service_shate.IVegetationHealthServices;
import com.ruoyi.system.service_shate.*;
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.xwpf.usermodel.XWPFDocument;
import org.springframework.boot.autoconfigure.web.ServerProperties;
import org.springframework.util.ResourceUtils;
import org.springframework.web.bind.annotation.*;
import org.w3c.dom.Document;
@ -24,6 +26,7 @@ import javax.servlet.http.HttpServletResponse;
import javax.xml.parsers.DocumentBuilder;
import javax.xml.parsers.DocumentBuilderFactory;
import java.io.*;
import java.lang.reflect.AnnotatedArrayType;
import java.text.SimpleDateFormat;
import java.util.*;
@ -35,15 +38,19 @@ import java.util.*;
@RequestMapping(value = "/api/Upload", produces = "application/json;charset=UTF-8")
@Api(tags = "文件上传记录")
public class DateUploadController
{
public class DateUploadController {
@Resource
IPlantingSuitabilityService plantingSuitabilityService;
@Resource
ILandUseServices landUseServices;
@Resource
IVegetationHealthServices vegetationHealthServices;
@Resource
private IDateUploadService service;
@Resource
private ITopographicFactorService factorService;
@Resource
ISeedingSuccessService seedingSuccessService;
@ -56,11 +63,8 @@ public class DateUploadController
private String ShpPaths;
@RequestMapping(value = "/SelectUpload", method = {RequestMethod.POST})
public AjaxResult SelectUpload(@RequestBody paging paging)
{
public AjaxResult SelectUpload(@RequestBody paging paging) {
// LocalDate tomorrow = LocalDate.of(2022,10,2);
// LocalDate today = LocalDate.now();
//
@ -73,8 +77,7 @@ public class DateUploadController
String type = paging.getType().replace(" ", "");
String type2 = "";
if (paging.getType2()!=null)
{
if (paging.getType2() != null) {
type2 = paging.getType2().toUpperCase();
}
String date = paging.getUploadTime();
@ -82,14 +85,10 @@ public class DateUploadController
String dateTime = paging.getDateTime();
if ( name!=null && name!="")
{
if (name.equals("1"))
{
if (name != null && name != "") {
if (name.equals("1")) {
name = "M_Heal%";
}
else if(name.equals("2"))
{
} else if (name.equals("2")) {
name = "H_Heal%";
}
@ -104,13 +103,8 @@ public class DateUploadController
}
@RequestMapping(value = "/delUpload", method = {RequestMethod.POST})
public AjaxResult DelUpload(@RequestBody UplodFile uplodFile)
{
public AjaxResult DelUpload(@RequestBody UplodFile uplodFile) {
return delUploadFile(uplodFile.getId());
// List<Integer> ids=uplodFile.getId();
// Integer Seeding=0;
@ -133,14 +127,14 @@ public class DateUploadController
@RequestMapping(value = "/delUpload1", method = {RequestMethod.DELETE})
public AjaxResult DelUpload1(@RequestParam("id") List<Integer> id)
{
public AjaxResult DelUpload1(@RequestParam("id") List<Integer> id) {
List<Integer> ids = id;
Integer Seeding = 0;
for (int i=0; i<ids.size();i++)
{
for (int i = 0; i < ids.size(); i++) {
Seeding = service.DelUpload(ids.get(i));
if (Seeding==0){return AjaxResult.error("没有此id单据"+ids.get(i));}
if (Seeding == 0) {
return AjaxResult.error("没有此id单据" + ids.get(i));
}
}
return AjaxResult.success(Seeding);
@ -148,12 +142,10 @@ public class DateUploadController
@RequestMapping(value = "/InitShp", method = {RequestMethod.POST})
public AjaxResult InitShp(@RequestBody UplodFile uplodFile)
{
public AjaxResult InitShp(@RequestBody UplodFile uplodFile) {
List<DateUpload> dateUploads = infr(uplodFile.getDateUploads());
for (int i=0; i<dateUploads.size();i++)
{
for (int i = 0; i < dateUploads.size(); i++) {
Integer Seeding = service.IntoShp(dateUploads.get(i));
}
@ -162,15 +154,13 @@ public class DateUploadController
@RequestMapping(value = "/InitUpload", method = {RequestMethod.POST})
public AjaxResult InitUpload(@RequestBody UplodFile uplodFile)
{
public AjaxResult InitUpload(@RequestBody UplodFile uplodFile) {
readXml();
List<DateUpload> dateUploads = infr(uplodFile.getDateUploads());
for (int i=0; i<dateUploads.size();i++)
{
for (int i = 0; i < dateUploads.size(); i++) {
Integer Seeding = service.IntoUpload(dateUploads.get(i));
}
@ -178,10 +168,8 @@ public class DateUploadController
return AjaxResult.success("成功");
}
private List<DateUpload> infr(List<DateUpload> dateUpload)
{
for (int i=0;i<dateUpload.size();i++)
{
private List<DateUpload> infr(List<DateUpload> dateUpload) {
for (int i = 0; i < dateUpload.size(); i++) {
String[] typesList = dateUpload.get(i).getType1().split("\\/");
@ -195,8 +183,7 @@ public class DateUploadController
SimpleDateFormat sdf = new SimpleDateFormat("yyyyMMdd");
String dateNowStr = sdf.format(d);
if(type1.equals("EVALUATIONINDICATORS"))
{
if (type1.equals("EVALUATIONINDICATORS")) {
String[] strs = dateUpload.get(i).getFileName().split("\\.");
String name = strs[0];
@ -233,8 +220,7 @@ public class DateUploadController
ShpPaths + uploadValue.getData_id());
demo.run();
}
else if(type1.equals("BOUNDARIES"))//Boundaries
} else if (type1.equals("BOUNDARIES"))//Boundaries
{
String[] strs = dateUpload.get(i).getFileName().split("\\.");
@ -256,9 +242,7 @@ public class DateUploadController
dateUpload.get(i).setExtent1(dateUpload.get(i).getExtent().toString());
}
else if(type1.equals("LANDUSE"))
{
} else if (type1.equals("LANDUSE")) {
String[] strs = dateUpload.get(i).getFileName().split("\\.");
String name = strs[0];
@ -295,9 +279,7 @@ public class DateUploadController
ShpPaths + uploadValue.getData_id());
demo.run();
}
else if(type1.equals("SUITABILITY"))
{
} else if (type1.equals("SUITABILITY")) {
String[] strs = dateUpload.get(i).getFileName().split("\\.");
String name = strs[0];
@ -334,9 +316,7 @@ public class DateUploadController
FilePaths + dateUpload.get(i).getData_id(),
ShpPaths + uploadValue.getData_id());
demo.run();
}
else
{
} else {
String[] strs = dateUpload.get(i).getFileName().split("\\.");
String name = strs[0];
@ -380,13 +360,13 @@ public class DateUploadController
/**
* 调用exe
*
* @param fileName 文件名称
* @param filePath tif文件路径
* @param shpPath shp文件路径
*/
@RequestMapping(value = "/callExe", method = {RequestMethod.GET})
public void callExe(String fileName,String filePath,String shpPath)
{
public void callExe(String fileName, String filePath, String shpPath) {
BufferedReader bufferedReader = null;
Process proc = null;
try {
@ -415,7 +395,8 @@ public class DateUploadController
} catch (IOException e) {
e.printStackTrace();
System.out.println(e.getMessage());;
System.out.println(e.getMessage());
;
}
}
@ -433,6 +414,7 @@ public class DateUploadController
this.ShpPath = shpPath;
}
@Override
public void run() {
callExe(FileName, FilePath, ShpPath);
@ -441,6 +423,7 @@ public class DateUploadController
/**
* 删除
*
* @return
*/
@RequestMapping(value = "/delUploadFile", method = {RequestMethod.DELETE})
@ -469,28 +452,31 @@ public class DateUploadController
type2 = type2.substring(0, type2.length() - 1);
file.UploadFile1(type2, value.getZone(), value.getDataTime(), service, "");
Seeding = service.DelUpload(ids.get(i));
if (Seeding==0){return AjaxResult.error("没有此id单据"+ids.get(i));}
if (Seeding == 0) {
return AjaxResult.error("没有此id单据" + ids.get(i));
}
}
// &&
// (type1.equals("RSIMAGES") || type1.equals("PLANTINGDISTRIBUTION") || type1.equals("VEGETATIONHEALTH"))
else if (type.equals("VEGETATIONHEALTH"))
{
else if (type.equals("VEGETATIONHEALTH")) {
String[] typeValue = value.getFileName().split("_");
String resolution = typeValue[0];
String type2 = "Heal";
file.UploadFile1(type2, value.getZone(), value.getDataTime(), service, resolution);
Seeding = service.DelUpload(ids.get(i));
if (Seeding==0){return AjaxResult.error("没有此id单据"+ids.get(i));}
if (Seeding == 0) {
return AjaxResult.error("没有此id单据" + ids.get(i));
}
else
{
} else {
String[] typeValue = value.getFileName().split("_");
String type2 = typeValue[0];
file.UploadFile1(type2, value.getZone(), value.getDataTime(), service, "");
Seeding = service.DelUpload(ids.get(i));
if (Seeding==0){return AjaxResult.error("没有此id单据"+ids.get(i));}
if (Seeding == 0) {
return AjaxResult.error("没有此id单据" + ids.get(i));
}
}
}
@ -525,7 +511,6 @@ public class DateUploadController
// 区分,去掉空格和换行符
if (childNodes.item(k).getNodeType() == Node.ELEMENT_NODE) {
this.ExePathName = childNodes.item(1).getTextContent().trim();
this.FilePathName = childNodes.item(3).getTextContent().trim();
@ -540,16 +525,19 @@ public class DateUploadController
e.printStackTrace();
}
}
/**
* 导出Word
*
* @param
*/
@RequestMapping(value = "/exportWord",method = {RequestMethod.GET})
@RequestMapping(value = "/exportWord1", method = {RequestMethod.GET})
@ResponseBody
public void exportWord(HttpServletResponse response, HttpServletRequest request) throws Exception {
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";//request.getParameter("year");
String zone = "03";//request.getParameter("zone");
String year = "2022";
//创建文本对象
CustomXWPFDocument docxDocument = new CustomXWPFDocument();
//创建标题
@ -558,106 +546,137 @@ 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);
BarChart.createParagraphAndInsertWord(docxDocument, "Evaluation area: "+zone);
String zoneString="";
for (String zone:zoneList){
zone+=" | ";
zoneString+=zone;
}
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.");
//创建第二段落的标题
BarChart.createFirstLevelTopic(docxDocument, "2.Results of remote sensing monitoring of seeding success rate");
//循环判断有多少个资源
List<SeedingSuccessRate> seedingSuccessRates = seedingSuccessService.sqlSeeding(zone, year);
for (SeedingSuccessRate seedingSuccessRate : seedingSuccessRates) {
//图片的url
//String productCode1 = seedingSuccessRate.getProductCode1();
//String productCode2 = seedingSuccessRate.getProductCode2();
//创建第二段落的内容
BarChart.insertPic(docxDocument, "C:\\Users\\xkrs\\Desktop\\pic\\1.png");
BarChart.setPicTitle(docxDocument, "Spatial distribution data of successful seeding regions");
BarChart.insertPic(docxDocument, "C:\\Users\\xkrs\\Desktop\\pic\\2.png");
BarChart.setPicTitle(docxDocument, "Spatial distribution data of seeding success rate");
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()+"%.");
}
//第三段的标题
BarChart.createFirstLevelTopic(docxDocument, "3.Results of remote sensing monitoring of vegetation health");
//获取ProductCode1的集合
List<String> M_code=new ArrayList<>();
List<String> H_code=new ArrayList<>();
//查询数据库中有多少条数据
List<VegetationHealth> vegetationHealths = vegetationHealthServices.sqlInfo(zone, year);
//循环查询的数据分别加入到不同的集合中作为中质量和高质量的循环次数
for (VegetationHealth vegetationHealth : vegetationHealths) {
String productCode1 = vegetationHealth.getProductCode1();
if(productCode1.startsWith("M"))
{
M_code.add(vegetationHealth.getProductCode1());
}
if(productCode1.startsWith("H"))
{
H_code.add(vegetationHealth.getProductCode1());
}
}
//第三段的内容
//第三段的第一个小标题
int size=H_code.size()+M_code.size();
BarChart.createSecondLevelTopic(docxDocument, "3.1.Monitoring results of medium resolution data");
for(int i = 0; i <M_code.size(); i++) {
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\\xkrs\\Desktop\\pic\\2.png");
BarChart.setPicTitle(docxDocument, "Spatial distribution data of vegetation planting area");
BarChart.insertPic(docxDocument, "C:\\Users\\xkrs\\Desktop\\pic\\1.png");
BarChart.setPicTitle(docxDocument, "Spatial distribution data of vegetation health status");
//插入柱状图表
String[] xAxisData = new String[]{"Health", "Normal", "Not-Health"};
Double m1 = vegetationHealth_m.getHealthy();
Double m2 = vegetationHealth_m.getNormal();
Double m3 = vegetationHealth_m.getNotHealthy();
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)+"%.");
}
}
//第三段的第二个小标题
BarChart.createSecondLevelTopic(docxDocument, "3.2.Monitoring results of high resolution data");
for(int i=0;i<H_code.size();i++) {
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\\xkrs\\Desktop\\pic\\1.png");
BarChart.setPicTitle(docxDocument, "Spatial distribution data of vegetation planting area");
BarChart.insertPic(docxDocument, "C:\\Users\\xkrs\\Desktop\\pic\\2.png");
BarChart.setPicTitle(docxDocument, "Spatial distribution data of vegetation health status");
//此处插入图表
String[] xAxisData1 = new String[]{"Health", "Normal", "Not-Health"};
Double h1 = vegetationHealth_h.getHealthy();
Double h2 = vegetationHealth_h.getNormal();
Double h3 = vegetationHealth_h.getNotHealthy();
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) + "%.");
}
}
//第四个标题
List<PlantingSuitability> plantingSuitabilities = plantingSuitabilityService.sqlSeeding(zone);
for (PlantingSuitability suitability : plantingSuitabilities) {
BarChart.createFirstLevelTopic(docxDocument,"4.Results of remote sensing monitoring of planting suitability");
//获取图片的url
String productCode1 = suitability.getProductCode1();
//第四个标题的内容
BarChart.insertPic(docxDocument,"C:\\Users\\xkrs\\Desktop\\pic\\1.png");
BarChart.setPicTitle(docxDocument,"Spatial distribution data of planting suitability");
//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 s1 = suitability.getVerySuitable();
Double s2 = suitability.getSuitable();
Double s3 = suitability.getNotSuitable();
Double[] yAxisData2 = new Double[]{s1, s2, s3};
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,"Classification statistics of planting suitability");
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
@ -669,4 +688,137 @@ public class DateUploadController
responseOutputStream.close();
}
// /**
// * 导出Word
// * @param
// */
// @RequestMapping(value = "/exportWord",method = {RequestMethod.GET})
// @ResponseBody
// public void exportWord(HttpServletResponse response, HttpServletRequest request) throws Exception {
// //接受前端传来的数据
// String year = "2022";//request.getParameter("year");
// String zone = "03";//request.getParameter("zone");
// //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);
// BarChart.createParagraphAndInsertWord(docxDocument, "Evaluation area: "+zone);
//
//
// //创建第二段落的标题
// BarChart.createFirstLevelTopic(docxDocument, "2.Results of remote sensing monitoring of seeding success rate");
// //循环判断有多少个资源
// List<SeedingSuccessRate> seedingSuccessRates = seedingSuccessService.sqlSeeding(zone, year);
// for (SeedingSuccessRate seedingSuccessRate : seedingSuccessRates) {
// //图片的url
// //String productCode1 = seedingSuccessRate.getProductCode1();
// //String productCode2 = seedingSuccessRate.getProductCode2();
// //创建第二段落的内容
// BarChart.insertPic(docxDocument, "C:\\Users\\xkrs\\Desktop\\pic\\1.png");
// BarChart.setPicTitle(docxDocument, "Spatial distribution data of successful seeding regions");
// BarChart.insertPic(docxDocument, "C:\\Users\\xkrs\\Desktop\\pic\\2.png");
// BarChart.setPicTitle(docxDocument, "Spatial distribution data of seeding success rate");
// 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()+"%.");
// }
// //第三段的标题
// BarChart.createFirstLevelTopic(docxDocument, "3.Results of remote sensing monitoring of vegetation health");
// //获取ProductCode1的集合
// List<String> M_code=new ArrayList<>();
// List<String> H_code=new ArrayList<>();
// //查询数据库中有多少条数据
// List<VegetationHealth> vegetationHealths = vegetationHealthServices.sqlInfo(zone, year);
// //循环查询的数据分别加入到不同的集合中作为中质量和高质量的循环次数
// for (VegetationHealth vegetationHealth : vegetationHealths) {
// String productCode1 = vegetationHealth.getProductCode1();
// if(productCode1.startsWith("M"))
// {
// M_code.add(vegetationHealth.getProductCode1());
// }
// if(productCode1.startsWith("H"))
// {
// H_code.add(vegetationHealth.getProductCode1());
// }
// }
// //第三段的内容
// //第三段的第一个小标题
// int size=H_code.size()+M_code.size();
// BarChart.createSecondLevelTopic(docxDocument, "3.1.Monitoring results of medium resolution data");
// for(int i = 0; i <M_code.size(); i++) {
// 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.setPicTitle(docxDocument, "Spatial distribution data of vegetation planting area");
// 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"};
// Double m1 = vegetationHealth_m.getHealthy();
// Double m2 = vegetationHealth_m.getNormal();
// Double m3 = vegetationHealth_m.getNotHealthy();
// 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)+"%.");
// }
// }
// //第三段的第二个小标题
// BarChart.createSecondLevelTopic(docxDocument, "3.2.Monitoring results of high resolution data");
// for(int i=0;i<H_code.size();i++) {
// 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.setPicTitle(docxDocument, "Spatial distribution data of vegetation planting area");
// 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"};
// Double h1 = vegetationHealth_h.getHealthy();
// Double h2 = vegetationHealth_h.getNormal();
// Double h3 = vegetationHealth_h.getNotHealthy();
// 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) + "%.");
// }
// }
// //第四个标题
// List<PlantingSuitability> plantingSuitabilities = plantingSuitabilityService.sqlSeeding(zone);
// for (PlantingSuitability suitability : plantingSuitabilities) {
// BarChart.createFirstLevelTopic(docxDocument,"4.Results of remote sensing monitoring of planting suitability");
// //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.setPicTitle(docxDocument,"Spatial distribution data of planting suitability");
// //此处插入图表
// String[] xAxisData2 = new String[]{"Very Suitable", "Suitable", "Not Suitable"};
// Double s1 = suitability.getVerySuitable();
// Double s2 = suitability.getSuitable();
// Double s3 = suitability.getNotSuitable();
// 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)+"%.");
// }
// 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();
// }
}

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@ -57,7 +57,6 @@ public class TopographicFactorController {
{
Max=ce.getLevel5();
}
}
for (int i=0;i<Seeding.size();i++)
{

View File

@ -19,7 +19,7 @@ ruoyi:
server:
# 服务器的HTTP端口默认为8080
#port: 6051
port: 9800
port: 6051
servlet:
# 应用的访问路径
context-path: /

View File

@ -1,4 +1,6 @@
package com.ruoyi.common.utils;
import org.apache.poi.ss.util.CellRangeAddress;
import org.apache.poi.ss.util.CellReference;
import org.apache.poi.util.Units;
import org.apache.poi.xddf.usermodel.chart.*;
import org.apache.poi.xwpf.usermodel.*;
@ -23,6 +25,35 @@ import org.openxmlformats.schemas.wordprocessingml.x2006.main.STLineSpacingRule;
*/
public class BarChart
{
//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);
// xChart.setTitleText("海拔"); // 图表标题
xChart.setTitleOverlay(false);
// 5X轴(分类轴)相关设置
// 创建X轴,并且指定位置
XDDFCategoryAxis xAxis = xChart.createCategoryAxis(AxisPosition.BOTTOM);
XDDFCategoryDataSource xAxisSource = XDDFDataSourcesFactory.fromArray(xAxisData); // 设置X轴数据
// xAxis.setTitle("海拔km²");
// 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("hm²");
// 7创建折线图对象
XDDFLineChartData lineChart = (XDDFLineChartData) xChart.createData(ChartTypes.LINE, xAxis, yAxis);
// 8加载折线图数据集
XDDFLineChartData.Series lineSeries = (XDDFLineChartData.Series) lineChart.addSeries(xAxisSource, yAxisSource);
lineSeries.setSmooth(false); // 线条样式:true平滑曲线,false折线
lineSeries.setMarkerSize((short) 6); // 标记点大小
lineSeries.setMarkerStyle(MarkerStyle.CIRCLE); // 标记点样式
// 9绘制折线图
xChart.plot(lineChart);
}
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));

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@ -0,0 +1,30 @@
package com.ruoyi.system.domain_shate;
import java.sql.DataTruncation;
/**
* @Author: JinSheng Song
* @Date: 2022/11/14 16:20
*/
public class WordHelp {
private String year;
private String[] zone;
public String getYear() {
return year;
}
public void setYear(String year) {
this.year = year;
}
public String[] getZone() {
return zone;
}
public void setZone(String[] zone) {
this.zone = zone;
}
}

View File

@ -14,6 +14,9 @@ public interface PlantingSuitabilityMapper
{
List<PlantingSuitability> sqlSeeding(@Param("zone") String zone);
PlantingSuitability sqlSeeding1(@Param("zone") String zone,
@Param("year") String year);
Integer InsertSeeding(PlantingSuitability suitability);
List<PlantingSuitability> sqlYear();

View File

@ -2,6 +2,7 @@ package com.ruoyi.system.service_shate;
import com.ruoyi.system.domain_shate.LandUse;
import com.ruoyi.system.domain_shate.SeedingSuccessRate;
import com.ruoyi.system.domain_shate.UplodFile;
import org.apache.ibatis.annotations.Param;
import java.util.List;
@ -21,4 +22,6 @@ public interface ILandUseServices
List<LandUse> sqlYear();
UplodFile mainClass(String zone,String year);
}

View File

@ -13,6 +13,8 @@ public interface IPlantingSuitabilityService
{
List<PlantingSuitability> sqlSeeding(String zone);
PlantingSuitability sqlSeeding1(String zone,String year);
Integer InsertSeeding(PlantingSuitability suitability);
List<PlantingSuitability> sqlYear();

View File

@ -1,9 +1,13 @@
package com.ruoyi.system.service_shate.impl;
import com.ruoyi.system.domain_shate.LandUse;
import com.ruoyi.system.domain_shate.SeedingSuccessRate;
import com.ruoyi.common.annotation.Excel;
import com.ruoyi.system.domain_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;
import com.ruoyi.system.service_shate.ITopographicFactorService;
import org.springframework.stereotype.Service;
import javax.annotation.Resource;
@ -21,6 +25,15 @@ public class LandUseServiceipml implements ILandUseServices
@Resource
private LandUseMapper mapper;
@Resource
private ITopographicFactorService factorService;
@Resource
private ISoilFactorService soilFactorService;
@Resource
private IRegionalFactorService regionalFactorService;
@Override
public List<LandUse> sqlSeeding(String zone, String[] landUses,String year) {
List<LandUse> value=mapper.sqlSeeding(zone, landUses,year);
@ -42,4 +55,35 @@ public class LandUseServiceipml implements ILandUseServices
public List<LandUse> sqlYear() {
return mapper.sqlYear();
}
@Override
public UplodFile mainClass(String zone,String year) {
UplodFile file=new UplodFile();
//海拔
List<Altitude> altitude = factorService.sqlAltitude(zone,year);
//坡度
List<Slope> slopes = factorService.sqlSlope(zone,year);
//坡向
List<Aspect> aspects = factorService.sqlAspect(zone,year);
//沙化指数
List<SoilDesertification> desertifications=soilFactorService.sqlDesert(zone,year);
//湿度指数
List<SoilMoisture> moistures=soilFactorService.sqlMoisture(zone,year);
//盐渍化指数
List<SoilSalinization> salinizations=soilFactorService.sqlSalin(zone,year);
//水域因子
List<WaterFactor> waterFactors=regionalFactorService.sqlWater(zone,year);
//道路因子
List<RoadFactor> roadFactors=regionalFactorService.sqlRoad(zone,year);
file.setWaterFactors(waterFactors);
file.setRoadFactors(roadFactors);
file.setSoilMoistures(moistures);
file.setSoilSalinizations(salinizations);
file.setSoilDesertifications(desertifications);
file.setAspects(aspects);
file.setSlopes(slopes);
file.setAltitudes(altitude);
return file;
}
}

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@ -22,6 +22,12 @@ public class PlantingSuitabilityServiceIpml implements IPlantingSuitabilityServi
return value;
}
@Override
public PlantingSuitability sqlSeeding1(String zone, String year) {
PlantingSuitability value=mapper.sqlSeeding1(zone,year);
return value;
}
@Override
public Integer InsertSeeding(PlantingSuitability suitability) {
return mapper.InsertSeeding(suitability);

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@ -34,6 +34,18 @@
</if>
</select>
<select id="sqlSeeding1" resultMap="RM_Seeding">
SELECT <include refid="columns"/> FROM suitability
WHERE 1=1
<if test="zone!= null and zone !=''">
AND zone = #{zone}
</if>
<if test="year!= null and year !=''">
AND year1 = #{year}
</if>
</select>
<select id="sqlYear" resultMap="RM_Seeding">
SELECT distinct year1,ZONE FROM suitability
</select>