Export "Inventory Age Analysis" to Excel with Java (Styled & Formatted Reports)
Styled & Formatted ReportsScene 0028
Layers inventory by age range, tallying the number of material types, inventory amount and amount share for each range, with a summary in the last row; the cell of the range with the longest age is marked in red to flag slow-moving inventory risk. Implemented declaratively in pure XML — no Java business code required.

About this demo
This demo exports the "Inventory Age Analysis" workbook: 1 data sheet(s); MAPPING over 5 columns (库龄区间, 物料种类数, 库存金额, 金额占比, 风险等级), 9 formula(s), 1 style rule(s). On the Java side it builds 5 data rows and calls exportInventoryAging() once — everything else is driven by the config.
It belongs to the "Styled & Formatted Reports" group: STYLE and conditional formatting: themed headers, zebra striping, highlighted total rows and threshold-based colouring of abnormal cells.
What you can copy from this page
- The complete Java test class (59 lines, runnable as-is)
- The complete XML config (33 lines: mapping, formulas, styles, charts and every other rule)
- The exported xlsx file (real output, comparable with the preview above)
Related searches: Java export Excel styles, Java Excel header style zebra rows, Apache POI CellStyle export, Java Excel conditional formatting, export Inventory Age Analysis to Excel with Java
Output specs
- Scene no.
- 0028
- Group
- Styled & Formatted Reports
- Config lines
- 33
- Source lines
- 59
Java source · Style0028InventoryAgingAnalysisDemo.java
This is the complete test class that produced the Excel file above — copy it and run as-is. Java only builds the data rows; all statistics and styling live in the XML config.
package com.github.paohaijiao.biz.style;
import com.github.paohaijiao.statement.JQuickRow;
import com.github.paohaijiao.xml.ex.JQuickExcelExportXmlParseFactory;
import com.github.paohaijiao.xml.factory.JQuickFactory;
import com.github.paohaijiao.xml.factory.JQuickXmlFactory;
import com.github.paohaijiao.xml.handler.JQuickParseHandler;
import org.junit.Test;
import java.io.File;
import java.io.FileOutputStream;
import java.io.OutputStream;
import java.util.ArrayList;
import java.util.List;
public class Style0028InventoryAgingAnalysisDemo {
private static final String XML = "jquick/biz/style/0028_style_inventory-aging-analysis.xml";
/** 导出:纯 XML 完成金额占比、合计行汇总与呆滞区间标红。 */
@Test
public void exportInventoryAging() throws Exception {
List<JQuickRow> rows = new ArrayList<>();
rows.add(bucket("0-30 天", 45, 850000, "低"));
rows.add(bucket("31-90 天", 28, 420000, "低"));
rows.add(bucket("91-180 天", 12, 180000, "中"));
// 第 5 行:180 天以上为呆滞库存,模板中 C5 / D5 标红
rows.add(bucket("180 天以上", 5, 95000, "高"));
// 合计占位行:占比留给 FORMULAS
JQuickRow total = new JQuickRow();
total.put("a", "合计");
total.put("b", null);
total.put("c", null);
total.put("d", null);
total.put("e", null);
rows.add(total);
File out = new File("D:/test/excel/biz/style/0028_style_inventory-aging-analysis.xlsx");
try (OutputStream os = new FileOutputStream(out)) {
JQuickParseHandler parser = new JQuickExcelExportXmlParseFactory("pearl", rows, os);
JQuickFactory factory = new JQuickXmlFactory(parser, XML);
Style0028InventoryAgingAnalysisService service = factory.createApi(Style0028InventoryAgingAnalysisService.class);
service.exportInventoryAging("field", "value");
}
}
/** 构造一条库龄区间(a=区间,b=种类数,c=库存金额,e=风险等级)。 */
private static JQuickRow bucket(String agingBucket, int skuCount, double amount, String riskLevel) {
JQuickRow row = new JQuickRow();
row.put("a", agingBucket);
row.put("b", skuCount);
row.put("c", amount);
row.put("d", null);
row.put("e", riskLevel);
return row;
}
}Minimal invocation (4 lines)
The core is these four lines: hand the rows to the parser, the parser to the factory, get a typed Service and call it. Copy them straight into your project.
// rows 由业务代码构造(List<JQuickRow>),os 为输出流,见下方完整源码
JQuickParseHandler parser = new JQuickExcelExportXmlParseFactory("pearl", rows, os);
JQuickFactory factory = new JQuickXmlFactory(parser, XML);
Style0028InventoryAgingAnalysisService service = factory.createApi(Style0028InventoryAgingAnalysisService.class);XML config · 0028_style_inventory-aging-analysis.xml
Formats (FORMAT), formulas (FORMULAS) and styles (STYLE) are all declared in this XML, fully decoupled from the Java code. The full config is below — copy it as-is.
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE excels PUBLIC "-//PAOHAIJIAO//DTD API EXCEL 1.0//EN"
"classpath:paohaijiao/dtd/Jquick-excel.dtd">
<excels namespace="com.github.paohaijiao.biz.style.Style0028InventoryAgingAnalysisService">
<!-- 导出:库存库龄分析表 -->
<excel name="exportInventoryAging" returnClass="void">
<![CDATA[
EXPORT WITH SHEET="库存库龄分析表", HEADER=true,
MAPPING={"a":"库龄区间","b":"物料种类数","c":"库存金额","d":"金额占比","e":"风险等级"},
FORMAT={"b":"0","c":"#,##0.00","d":"0.00%"},
FORMULAS={
D2:'C2/C6',D3:'C3/C6',D4:'C4/C6',D5:'C5/C6',
B6:'SUM(B2:B5)',C6:'SUM(C2:C5)',D6:'SUM(D2:D5)'
},
STYLE={
ROW 6:{bold:true,fillPattern:solid_foreground,fillForegroundColor:lightYellow,alignment:right,verticalAlignment:center},
C5:{color:red,bold:true},
D5:{color:red,bold:true}
}
]]>
</excel>
<!-- 导入解析:读取导出的库存库龄分析表 -->
<excel name="importInventoryAging" returnClass="java.util.List">
<![CDATA[
IMPORT WITH SHEET="库存库龄分析表", HEADER=true,
MAPPING={"库龄区间":"agingBucket","物料种类数":"skuCount","库存金额":"stockAmount","金额占比":"amountRatio","风险等级":"riskLevel"}
]]>
</excel>
</excels>More demos in this group
The Excel file, preview image, XML config and source code on this page were all produced by a real JQuick-Excel run and are free to copy into your own project.