From 4b48e7f55e2e5ed2dea62201eb4265dade40972f Mon Sep 17 00:00:00 2001 From: song <1921620649@qq.com> Date: Fri, 2 Dec 2022 09:43:07 +0800 Subject: [PATCH] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=E6=96=B0=E5=8A=9F=E8=83=BD?= =?UTF-8?q?=20=E6=8A=A5=E5=91=8A=E7=94=9F=E6=88=90?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../shate/DateUploadController.java | 409 ++++++++++-------- .../src/main/resources/application.yml | 2 +- .../java/com/ruoyi/common/utils/BarChart.java | 94 +++- .../com/ruoyi/system/domain_shate/WordVo.java | 24 + 4 files changed, 345 insertions(+), 184 deletions(-) create mode 100644 ruoyi-system/src/main/java/com/ruoyi/system/domain_shate/WordVo.java diff --git a/ruoyi-admin/src/main/java/com/ruoyi/web/controller/shate/DateUploadController.java b/ruoyi-admin/src/main/java/com/ruoyi/web/controller/shate/DateUploadController.java index e25cab9..36899df 100644 --- a/ruoyi-admin/src/main/java/com/ruoyi/web/controller/shate/DateUploadController.java +++ b/ruoyi-admin/src/main/java/com/ruoyi/web/controller/shate/DateUploadController.java @@ -8,10 +8,13 @@ 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.openxmlformats.schemas.wordprocessingml.x2006.main.CTSectPr; import org.springframework.boot.autoconfigure.web.ServerProperties; import org.springframework.util.ResourceUtils; import org.springframework.web.bind.annotation.*; @@ -27,6 +30,7 @@ import javax.xml.parsers.DocumentBuilder; import javax.xml.parsers.DocumentBuilderFactory; import java.io.*; import java.lang.reflect.AnnotatedArrayType; +import java.text.DecimalFormat; import java.text.SimpleDateFormat; import java.util.*; @@ -106,22 +110,6 @@ public class DateUploadController { @RequestMapping(value = "/delUpload", method = {RequestMethod.POST}) public AjaxResult DelUpload(@RequestBody UplodFile uplodFile) { return delUploadFile(uplodFile.getId()); -// List ids=uplodFile.getId(); -// Integer Seeding=0; -// UploadFile file=new UploadFile(); -// for (int i=0; i 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."); + String[] years = wordVo.getYear(); + DecimalFormat df = new DecimalFormat("#.00"); + 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; - 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."); + 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 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(0).getArea() * 0.01), + BarChart.fun(landUses.get(1).getArea() * 0.01), + BarChart.fun(landUses.get(2).getArea() * 0.01), + BarChart.fun(landUses.get(3).getArea() * 0.01), + BarChart.fun(landUses.get(4).getArea() * 0.01), + BarChart.fun(landUses.get(5).getArea() * 0.01), + BarChart.fun(landUses.get(6).getArea() * 0.01), + BarChart.fun(landUses.get(7).getArea() * 0.01), + BarChart.fun(landUses.get(8).getArea() * 0.01), + BarChart.fun(landUses.get(9).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(0).getArea() * 0.01 )+ " km², the building is " +BarChart.fun( landUses.get(1).getArea() * 0.01 )+ " km², the road is " + BarChart.fun(landUses.get(2).getArea() * 0.01) + + " km², the water is " + BarChart.fun(landUses.get(3).getArea() * 0.01) + " km², the forest is " + BarChart.fun(landUses.get(4).getArea() * 0.01 )+ " km², the grass is " + BarChart.fun(landUses.get(5).getArea() * 0.01) + " km², the soil is " +BarChart.fun( landUses.get(6).getArea() * 0.01 )+ " km², the desert is " + + BarChart.fun(landUses.get(7).getArea() * 0.01 )+ " km², the rock is " + BarChart.fun(landUses.get(8).getArea() * 0.01) + " km², and other land use types are " + BarChart.fun(landUses.get(9).getArea() * 0.01) + " km²."); - //2.2.2 沙化指数、湿度指数、盐渍化指数 - BarChart.createSecondLevelTopic(docxDocument, i+2+".2.2. Monitoring results of soil index"); - //沙化指数 - BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg"); - BarChart.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."); + 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 - //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; + 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).getNorth() / 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 " + BarChart.fun(main.getSoilSalinizations().get(0).getLevel1() * 0.01 )+ " is 252 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.getDoubleNumber((suitability.getVerySuitable() / suitability.getTotalArea())) + "%. The area of suitable grade was " +BarChart.fun( suitability.getSuitable()/100) + " km², accounting for " + BarChart.getDoubleNumber((suitability.getSuitable() / suitability.getTotalArea())) + "%. The area of unsuitable area was " + BarChart.fun(suitability.getNotSuitable()/100) + " km², accounting for " + BarChart.getDoubleNumber((suitability.getNotSuitable() / suitability.getTotalArea())) + "%."); + 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(); } - 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(); + } @@ -726,7 +791,7 @@ public class DateUploadController { // BarChart.createParagraphAndInsertWord(docxDocument, ""+BarChart.changeDate(seedingSuccessRate.getImageDate())+ // ". The total planting area in "+seedingSuccessRate.getZone()+" area was "+ // BarChart.getDoubleNumber((seedingSuccessRate.getSeedingSuccessArea()/seedingSuccessRate.getSeedingSuccess())) + -// " hm², the vegetation survival area was "+seedingSuccessRate.getSeedingSuccessArea()+" hm², and the seeding success rate was "+seedingSuccessRate.getSeedingSuccess()+"%."); +// " km², the vegetation survival area was "+seedingSuccessRate.getSeedingSuccessArea()+" km², and the seeding success rate was "+seedingSuccessRate.getSeedingSuccess()+"%."); // } // //第三段的标题 // BarChart.createFirstLevelTopic(docxDocument, "3.Results of remote sensing monitoring of vegetation health"); @@ -755,9 +820,9 @@ public class DateUploadController { // List vegetationHealths_M = vegetationHealthServices.sqlSeeding(zone, M_code.get(i), year); // for (VegetationHealth vegetationHealth_m : vegetationHealths_M) { // //第三段的第一个小标题的内容 -// BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg"); +// BarChart.insertPic(docxDocument, "C:\\Users\\sjs\\Desktop\\R-C.jpg"); // BarChart.setPicTitle(docxDocument, "Spatial distribution data of vegetation planting area"); -// BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg"); +// BarChart.insertPic(docxDocument, "C:\\Users\\sjs\\Desktop\\R-C.jpg"); // BarChart.setPicTitle(docxDocument, "Spatial distribution data of vegetation health status"); // //插入柱状图表 // String[] xAxisData = new String[]{"Health", "Normal", "Not-Health"}; @@ -767,7 +832,7 @@ public class DateUploadController { // Double[] yAxisData = new Double[]{m1, m2, m3}; // BarChart.drawTable(docxDocument,xAxisData,yAxisData); // BarChart.setPicTitle(docxDocument, "Statistical data on vegetation health"); -// BarChart.createParagraphAndInsertWord(docxDocument, ""+BarChart.changeDate(vegetationHealth_m.getImageDate())+". Based on the monitoring results of high resolution satellite images, the area of healthy vegetation growth in "+vegetationHealth_m.getZone()+" region was "+vegetationHealth_m.getHealthy()+" hm², accounting for "+BarChart.getDoubleNumber((vegetationHealth_m.getHealthy()/vegetationHealth_m.getTotalArea())*100)+"%. The area with normal vegetation growth was "+vegetationHealth_m.getNormal()+" hm², accounting for "+BarChart.getDoubleNumber((vegetationHealth_m.getNormal()/vegetationHealth_m.getTotalArea())*100)+"%. The area of unhealthy vegetation growth was "+vegetationHealth_m.getNotHealthy()+" hm², accounting for "+BarChart.getDoubleNumber((vegetationHealth_m.getNotHealthy()/vegetationHealth_m.getTotalArea())*100)+"%."); +// BarChart.createParagraphAndInsertWord(docxDocument, ""+BarChart.changeDate(vegetationHealth_m.getImageDate())+". Based on the monitoring results of high resolution satellite images, the area of healthy vegetation growth in "+vegetationHealth_m.getZone()+" region was "+vegetationHealth_m.getHealthy()+" km², accounting for "+BarChart.getDoubleNumber((vegetationHealth_m.getHealthy()/vegetationHealth_m.getTotalArea())*100)+"%. The area with normal vegetation growth was "+vegetationHealth_m.getNormal()+" km², accounting for "+BarChart.getDoubleNumber((vegetationHealth_m.getNormal()/vegetationHealth_m.getTotalArea())*100)+"%. The area of unhealthy vegetation growth was "+vegetationHealth_m.getNotHealthy()+" km², accounting for "+BarChart.getDoubleNumber((vegetationHealth_m.getNotHealthy()/vegetationHealth_m.getTotalArea())*100)+"%."); // } // } // //第三段的第二个小标题 @@ -776,9 +841,9 @@ public class DateUploadController { // List vegetationHealths_H = vegetationHealthServices.sqlSeeding(zone, H_code.get(i), year); // for (VegetationHealth vegetationHealth_h : vegetationHealths_H) { // //第三段的第二个小标题的内容 -// BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg"); +// BarChart.insertPic(docxDocument, "C:\\Users\\sjs\\Desktop\\R-C.jpg"); // BarChart.setPicTitle(docxDocument, "Spatial distribution data of vegetation planting area"); -// BarChart.insertPic(docxDocument, "C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg"); +// BarChart.insertPic(docxDocument, "C:\\Users\\sjs\\Desktop\\R-C.jpg"); // BarChart.setPicTitle(docxDocument, "Spatial distribution data of vegetation health status"); // //此处插入图表 // String[] xAxisData1 = new String[]{"Health", "Normal", "Not-Health"}; @@ -788,7 +853,7 @@ public class DateUploadController { // Double[] yAxisData1 = new Double[]{h1, h2, h3}; // BarChart.drawTable(docxDocument, xAxisData1, yAxisData1); // BarChart.setPicTitle(docxDocument, "Statistical data on vegetation health"); -// BarChart.createParagraphAndInsertWord(docxDocument, "" + BarChart.changeDate(vegetationHealth_h.getImageDate()) + ". Based on the monitoring results of high resolution satellite images, the area of healthy vegetation growth in " + vegetationHealth_h.getZone() + " region was " + vegetationHealth_h.getHealthy() + " hm², accounting for " + BarChart.getDoubleNumber((vegetationHealth_h.getHealthy() / vegetationHealth_h.getTotalArea()) * 100) + "%. The area with normal vegetation growth was " + vegetationHealth_h.getNormal() + " hm², accounting for " + BarChart.getDoubleNumber((vegetationHealth_h.getNormal() / vegetationHealth_h.getTotalArea()) * 100) + "%. The area of unhealthy vegetation growth was " + vegetationHealth_h.getNotHealthy() + " hm², accounting for " + BarChart.getDoubleNumber((vegetationHealth_h.getNotHealthy() / vegetationHealth_h.getTotalArea()) * 100) + "%."); +// BarChart.createParagraphAndInsertWord(docxDocument, "" + BarChart.changeDate(vegetationHealth_h.getImageDate()) + ". Based on the monitoring results of high resolution satellite images, the area of healthy vegetation growth in " + vegetationHealth_h.getZone() + " region was " + vegetationHealth_h.getHealthy() + " km², accounting for " + BarChart.getDoubleNumber((vegetationHealth_h.getHealthy() / vegetationHealth_h.getTotalArea()) * 100) + "%. The area with normal vegetation growth was " + vegetationHealth_h.getNormal() + " km², accounting for " + BarChart.getDoubleNumber((vegetationHealth_h.getNormal() / vegetationHealth_h.getTotalArea()) * 100) + "%. The area of unhealthy vegetation growth was " + vegetationHealth_h.getNotHealthy() + " km², accounting for " + BarChart.getDoubleNumber((vegetationHealth_h.getNotHealthy() / vegetationHealth_h.getTotalArea()) * 100) + "%."); // } // } // //第四个标题 @@ -798,7 +863,7 @@ public class DateUploadController { // //获取图片的url // String productCode1 = suitability.getProductCode1(); // //第四个标题的内容 -// BarChart.insertPic(docxDocument,"C:\\Users\\HP\\Desktop\\文本文档\\1650791783(1).jpg"); +// BarChart.insertPic(docxDocument,"C:\\Users\\sjs\\Desktop\\R-C.jpg"); // BarChart.setPicTitle(docxDocument,"Spatial distribution data of planting suitability"); // //此处插入图表 // String[] xAxisData2 = new String[]{"Very Suitable", "Suitable", "Not Suitable"}; @@ -808,7 +873,7 @@ public class DateUploadController { // Double[] yAxisData2 = new Double[]{s1, s2, s3}; // BarChart.drawTable(docxDocument,xAxisData2,yAxisData2); // BarChart.setPicTitle(docxDocument,"Classification statistics of planting suitability"); -// BarChart.createParagraphAndInsertWord(docxDocument,"In "+suitability.getZone()+" region, the area of very suitable region was "+suitability.getVerySuitable()+" hm², accounting for "+BarChart.getDoubleNumber((suitability.getVerySuitable()/suitability.getTotalArea())*100)+"%. The area of suitable grade was "+suitability.getSuitable()+" hm², accounting for "+BarChart.getDoubleNumber((suitability.getSuitable()/suitability.getTotalArea())*100)+"%. The area of unsuitable area was "+suitability.getNotSuitable()+" hm², accounting for "+BarChart.getDoubleNumber((suitability.getNotSuitable()/suitability.getTotalArea())*100)+"%."); +// BarChart.createParagraphAndInsertWord(docxDocument,"In "+suitability.getZone()+" region, the area of very suitable region was "+suitability.getVerySuitable()+" km², accounting for "+BarChart.getDoubleNumber((suitability.getVerySuitable()/suitability.getTotalArea())*100)+"%. The area of suitable grade was "+suitability.getSuitable()+" km², accounting for "+BarChart.getDoubleNumber((suitability.getSuitable()/suitability.getTotalArea())*100)+"%. The area of unsuitable area was "+suitability.getNotSuitable()+" km², accounting for "+BarChart.getDoubleNumber((suitability.getNotSuitable()/suitability.getTotalArea())*100)+"%."); // } // response.setCharacterEncoding("UTF-8"); // response.setContentType("application/msword"); diff --git a/ruoyi-admin/src/main/resources/application.yml b/ruoyi-admin/src/main/resources/application.yml index d203c55..27f1e88 100644 --- a/ruoyi-admin/src/main/resources/application.yml +++ b/ruoyi-admin/src/main/resources/application.yml @@ -66,7 +66,7 @@ spring: #port: 14096 port: 6379 # 数据库索引 - database: 0 + database: 1 # 密码 #password: SenseTime@2019 password: sdust2020 diff --git a/ruoyi-common/src/main/java/com/ruoyi/common/utils/BarChart.java b/ruoyi-common/src/main/java/com/ruoyi/common/utils/BarChart.java index 1a4c395..5ab30a8 100644 --- a/ruoyi-common/src/main/java/com/ruoyi/common/utils/BarChart.java +++ b/ruoyi-common/src/main/java/com/ruoyi/common/utils/BarChart.java @@ -1,21 +1,26 @@ package com.ruoyi.common.utils; +import org.apache.poi.hpsf.Section; +import org.apache.poi.openxml4j.exceptions.InvalidFormatException; +import org.apache.poi.ss.usermodel.HeaderFooter; +import org.apache.poi.ss.usermodel.Picture; import org.apache.poi.ss.util.CellRangeAddress; import org.apache.poi.ss.util.CellReference; import org.apache.poi.util.Units; +import org.apache.poi.wp.usermodel.HeaderFooterType; +import org.apache.poi.wp.usermodel.Paragraph; import org.apache.poi.xddf.usermodel.chart.*; +import org.apache.poi.xwpf.model.XWPFHeaderFooterPolicy; import org.apache.poi.xwpf.usermodel.*; -import java.io.FileInputStream; + +import java.io.*; +import java.math.BigDecimal; import java.math.BigInteger; import java.text.DecimalFormat; import java.util.List; import org.apache.poi.xwpf.usermodel.XWPFChart; import org.apache.poi.xwpf.usermodel.XWPFDocument; -import org.openxmlformats.schemas.wordprocessingml.x2006.main.CTP; -import org.openxmlformats.schemas.wordprocessingml.x2006.main.CTPPr; -import org.openxmlformats.schemas.wordprocessingml.x2006.main.CTSpacing; -import org.openxmlformats.schemas.wordprocessingml.x2006.main.STLineSpacingRule; - +import org.openxmlformats.schemas.wordprocessingml.x2006.main.*; /** @@ -26,6 +31,72 @@ import org.openxmlformats.schemas.wordprocessingml.x2006.main.STLineSpacingRule; public class BarChart { + public static Double fun(Double value) + { + BigDecimal bg=new BigDecimal(value); + return bg.setScale(2,BigDecimal.ROUND_HALF_UP).doubleValue(); + } + + + + private void setXWPFRunStyle(XWPFRun r1,String font,int fontSize) { + r1.setFontSize(fontSize); + CTRPr rpr = r1.getCTR().isSetRPr() ? r1.getCTR().getRPr() : r1.getCTR().addNewRPr(); + CTFonts fonts = rpr.isSetRFonts() ? rpr.getRFonts() : rpr.addNewRFonts(); + fonts.setAscii(font); + fonts.setEastAsia(font); + fonts.setHAnsi(font); + } + + + public static void createHeader(XWPFDocument doc, String orgFullName){ + try { + + CTSectPr sectPr = doc.getDocument().getBody().addNewSectPr(); + XWPFHeaderFooterPolicy headerFooterPolicy = new XWPFHeaderFooterPolicy(doc, sectPr); + XWPFHeader header = headerFooterPolicy.createHeader(XWPFHeaderFooterPolicy.DEFAULT); + XWPFParagraph paragraph = header.createParagraph(); + paragraph.setAlignment(ParagraphAlignment.BOTH); //设置段落左对齐 + paragraph.setBorderBottom(Borders.THICK); //设置下划线 +// paragraph.setAlignment(ParagraphAlignment.CENTER); + + XWPFRun run = paragraph.createRun(); + run.setBold(false); + run.setFontSize(9); + /* + * 取到图片的字节流 + * */ + String logoFilePath="/home/sjs/ruoyi/shate/jpg/shate.png"; + if (StringUtils.isNotEmpty(logoFilePath)) { + File file=new File(logoFilePath); + InputStream is = new FileInputStream(file); + XWPFPicture picture = run.addPicture(is, XWPFDocument.PICTURE_TYPE_JPEG, logoFilePath, Units.toEMU(60), Units.toEMU(30)); + String blipID = ""; + for(XWPFPictureData picturedata : header.getAllPackagePictures()) { //这段必须有，不然打开的logo图片不显示 + blipID = header.getRelationId(picturedata); + } + picture.getCTPicture().getBlipFill().getBlip().setEmbed(blipID); + run.addTab(); + is.close(); + } + /* + * 添加字体页眉 + * */ + if (StringUtils.isNotEmpty(orgFullName)) { + run = paragraph.createRun(); + run.setText(" "+orgFullName); + } + + + } catch (FileNotFoundException e) { + throw new RuntimeException(e); + } catch (IOException e) { + throw new RuntimeException(e); + } catch (InvalidFormatException e) { + throw new RuntimeException(e); + } + + } //绘制折线图 public static void drawLine(XWPFDocument document, String[] xAxisData,Double[] yAxisData) throws Exception { XWPFChart xChart = document.createChart(15 * Units.EMU_PER_CENTIMETER, 10 * Units.EMU_PER_CENTIMETER); @@ -40,7 +111,7 @@ 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 yAxisSource = XDDFDataSourcesFactory.fromArray(yAxisData); // 设置Y轴数据 - yAxis.setTitle("hm²"); + yAxis.setTitle("km²"); // 7、创建折线图对象 XDDFLineChartData lineChart = (XDDFLineChartData) xChart.createData(ChartTypes.LINE, xAxis, yAxis); @@ -77,7 +148,7 @@ public class BarChart // Y轴(值轴)相关设置 //chart.createValueAxis(AxisPosition.LEFT); XDDFValueAxis yAxis = chart.createValueAxis(AxisPosition.LEFT); // 创建Y轴,指定位置 - yAxis.setTitle("Area(hm²)"); // Y轴标题 + yAxis.setTitle("Area(km²)"); // Y轴标题 yAxis.setCrossBetween(AxisCrossBetween.BETWEEN); // 设置图柱的位置:BETWEEN居中 XDDFNumericalDataSource yAxisSource = XDDFDataSourcesFactory.fromArray(yAxisData); // 设置Y轴数据 ChartTypes chartTypes = ChartTypes.BAR; @@ -102,7 +173,7 @@ public class BarChart (fileAddress)) { run.addPicture(is, XWPFDocument.PICTURE_TYPE_PNG, fileAddress, - Units.toEMU(185), Units.toEMU(223)); // 200x200 pixels + Units.toEMU(392), Units.toEMU(280)); // 200x200 pixels } catch (Exception e) { e.printStackTrace(); } @@ -163,8 +234,8 @@ public class BarChart title.setAlignment(ParagraphAlignment.CENTER); XWPFRun runTitle = title.createRun(); runTitle.setText(date); - runTitle.setBold(false); - runTitle.setFontSize(16); + runTitle.setBold(true); + runTitle.setFontSize(20); runTitle.setFontFamily("Times New Roman"); } //设置行间距 @@ -179,6 +250,7 @@ public class BarChart //1磅数是20 spacing.setLine(BigInteger.valueOf(size*20)); } + public static String getDoubleNumber(Double d) { DecimalFormat df = new DecimalFormat("#.00"); diff --git a/ruoyi-system/src/main/java/com/ruoyi/system/domain_shate/WordVo.java b/ruoyi-system/src/main/java/com/ruoyi/system/domain_shate/WordVo.java new file mode 100644 index 0000000..f04b99c --- /dev/null +++ b/ruoyi-system/src/main/java/com/ruoyi/system/domain_shate/WordVo.java @@ -0,0 +1,24 @@ +package com.ruoyi.system.domain_shate; + +public class WordVo { + + private String [] zoneList; + + private String[] year; + + public String[] getZoneList() { + return zoneList; + } + + public void setZoneList(String[] zoneList) { + this.zoneList = zoneList; + } + + public String[] getYear() { + return year; + } + + public void setYear(String[] year) { + this.year = year; + } +}