java基于poi-tl1.9.1的word模板生成源码（支持文本、图片、图表、混合图表）可以直接运行

package com.yelang.test; import java.io.File; import java.io.FileOutputStream; import java.io.IOException; import java.util.ArrayList; import java.util.HashMap; import java.util.List; import java.util.Map; import com.deepoove.poi.XWPFTemplate; import com.deepoove.poi.data.ChartMultiSeriesRenderData; import com.deepoove.poi.data.Charts; import com.deepoove.poi.data.PictureRenderData; import com.deepoove.poi.data.PictureType; import com.deepoove.poi.data.Pictures; import com.deepoove.poi.data.SeriesRenderData; public class TestMain2 { public static void main(String[] args) throws IOException { Map<String, Object> map = new HashMap<String,Object>(); map.put("score", "28"); map.put("title", "测试任务"); map.put("type", "上半年综合测评"); map.put("status", "已完成"); map.put("time", "2023-07-18"); map.put("locpicture", new PictureRenderData(400, 300, "D:/image.jpg")); map.put("urlImg", Pictures.ofUrl("https://p1.itc.cn/images01/20230418/5d13ab4a86c04a8dac668bf4129e1f0c.png", PictureType.PNG).size(400, 300).create()); ChartMultiSeriesRenderData sbqk = Charts .ofMultiSeries("十六市区县情况", new String[] { "济南","青岛","烟台","威海"}) .addSeries("上报情况", new Double[] { 15.0,20.6,42.6,90.1}) .addSeries("查出情况", new Double[] { 12.0,15.3,28.6,80.1}) .create(); map.put("sbqk", sbqk); ChartMultiSeriesRenderData sjzlpm = Charts .ofMultiSeries("医院综合排名", new String[] { "山东大学齐鲁医院","山东省泰山医院","山东省第二人民医院","山东省第三医院"}) .addSeries("数据质量排名", new Double[] { 70.5,40.6,22.7,85.4}) .addSeries("价格质量排名", new Double[] { 80.5,75.6,72.7,85.4}) .create(); map.put("sjzlpm", sjzlpm); ChartMultiSeriesRenderData qst = Charts .ofMultiSeries("任务趋势", new String[] { "06-10","06-11","06-12","06-13","06-14","06-15"}) .addSeries("微信端", new Double[] { 70.5,40.6,22.7,85.4,700.0,40.8}) .addSeries("PC端", new Double[] { 80.5,50.6,62.7,45.4,200.0,140.8}) .addSeries("小程序端", new Double[] { 120.5,520.6,362.7,405.4,300.0,340.8}) .create(); map.put("qst", qst); //柱状图、折线图共存 List<SeriesRenderData> seriesRenderData = new ArrayList<SeriesRenderData>(3); SeriesRenderData series1 = new SeriesRenderData("GDP", new Double[] {70.5,40.6,22.7,85.4,700.0,40.8}); series1.setComboType(SeriesRenderData.ComboType.BAR); seriesRenderData.add(series1); SeriesRenderData series2 = new SeriesRenderData("人口", new Double[] {80.5,50.6,62.7,45.4,200.0,140.8}); series2.setComboType(SeriesRenderData.ComboType.BAR); seriesRenderData.add(series2); SeriesRenderData series3 = new SeriesRenderData("指数", new Double[] {0.6,0.6,0.7,0.4,0.7,0.8}); series3.setComboType(SeriesRenderData.ComboType.LINE); seriesRenderData.add(series3); ChartMultiSeriesRenderData hntb = Charts .ofMultiSeries("某省社会排名", new String[] { "城市1","城市2","城市3","城市4","城市5","城市6"}) .create(); hntb.setSeriesDatas(seriesRenderData); map.put("hntb", hntb); File file = new File("D:/文件输入.docx"); XWPFTemplate template = XWPFTemplate.compile(file).render(map); FileOutputStream out = new FileOutputStream(new File("D:\\文件输出.docx")); template.write(out); out.flush(); out.close(); template.close(); System.out.println("完成"); } }