如何将Drools决策表（Excel电子表格）转换为Drools中的（csv）文件？

Question

我已经在决策表中创建了一组规则。在合并和比较GIT中的文件时，我遇到了一个问题。因此，我计划将决策表转换为CSV文件。因此，任何人都建议将电子表格转换为CSV文件的过程或文档。我很好奇语法和列是否像excel一样。我查看了下面的文档，但无法获得有关转换过程的确切图片。任何人请在示例csv模板上提供建议。

参考-

https://docs.jboss.org/drools/release/6.5.0.Final/drools-docs/html_single/http://javacodeimpl.blogspot.com/2018/03/drools-decision-table-csv-example.html

Answer 1

不是Drools规则引擎将决策表转换为csv文件的范围或方法。

但是Drools支持DRT，DRT是保留所有元数据并在运行时提供数据以形成所需DRL的模板。

下面的示例：

package com.package.model.rule;

public class ProductsBill {

    private double total;

    private double buillAmount;

    private String couponCode;

    private int deductionInPercentage;

    public ProductsBill(double buillAmount, String couponCode) {
        this.buillAmount = buillAmount;
        this.couponCode = couponCode;
    }

    public double getTotal() {
        return total;
    }

    public void setTotal(double total) {
        this.total = total;
    }

    public double getBuillAmount() {
        return buillAmount;
    }

    public void setBuillAmount(double buillAmount) {
        this.buillAmount = buillAmount;
    }

    public String getCouponCode() {
        return couponCode;
    }

    public void setCouponCode(String couponCode) {
        this.couponCode = couponCode;
    }

    public int getDeductionInPercentage() {
        return deductionInPercentage;
    }

    public void setDeductionInPercentage(int deductionInPercentage) {
        this.deductionInPercentage = deductionInPercentage;
    }
}

DRT文件：/com/template/disount.drt

template header
couponCode
deduction

package org.drools.examples.templates;

import com.package.model.rule.ProductsBill;

global java.util.List list;

template "discount"

rule "discout_@{row.rowNumber}"
when
   $data : ProductsBill(couponCode = @{couponCode})
then
   modify($data) {data.setDeductionInPercentage(@{deduction})};
   list.add(data)
end

end template

CSV文件：

couponCode,deduction
DC12434,20.0
FC45899,30.5
DC43589,10.0

执行规则：

InputStream template = RuleTemplateArrayDemo.class.getResourceAsStream("/com/template/disount.drt");
List<ProductsBill> dataProvider = new ObjectDataProvider(/*Code to return list of ProductsBill with the csv data*/);
DataProviderCompiler compiler = new DataProviderCompiler();
String drl = compiler.compile(dataProvider, template);
KnowledgeBuilder kbuilder = KnowledgeBuilderFactory.newKnowledgeBuilder();
kbuilder.add(ResourceFactory.newByteArrayResource(drl.getBytes()), ResourceType.DRL);
assertFalse(kbuilder.hasErrors());
KnowledgeBase kbase = KnowledgeBaseFactory.newKnowledgeBase();
kbase.addKnowledgePackages(kbuilder.getKnowledgePackages());
StatefulKnowledgeSession kSession = kbase.newStatefulKnowledgeSession();

//now create some test data
kSession.insert(new ProductsBill(46.2, "DC12434"));
kSession.insert(new ProductsBill(136.2, "DC43589"));
List<ProductsBill> list = new ArrayList<ProductsBill>();
kSession.setGlobal("list", list);
kSession.fireAllRules();

希望这会有所帮助！