C#规则引擎RulesEngine的具体使用
- 作者: 请叫我风儿哥
- 来源: 51数据库
- 2021-08-16
当编写应用程序时,经常性需要花费大量的时间与精力处理业务逻辑,往往业务逻辑的变化需要重构或者增加大量代码,对开发测试人员很不友好。
之前在说过,可以使用脚本引擎来将我们需要经常变化的代码进行动态编译执行,自由度非常大,不过对应的需要资源也多。如果只是针对非常具体业务逻辑的变化,可以尝试使用rulesengine对程序进行操作。
下文使用了官方示例且部分内容翻译自说明文档
简介
rulesengine是微软推出的规则引擎,规则引擎在很多企业开发中有所应用,是处理经常变动需求的一种优雅的方法。个人任务,规则引擎适用于以下的一些场景:
- 输入输出类型数量比较固定,但是执行逻辑经常变化;
- switch条件经常变化,复杂switch语句的替代;
- 会变动的,具有多种条件或者规则的业务逻辑;
- 规则自由度不要求特别高的场景。(这种情况建议使用脚本引擎)
rulesengine的规则使用json进行存储,通过lambda表达式方式表述规则(rules)。
安装很方便,直接使用nuget进行安装:
install-pacakge rulesengine
规则定义
需要有rules,有workflowname,然后还有一些属性。
[
{
"workflowname": "discount",
"rules": [
{
"rulename": "givediscount10",
"successevent": "10",
"errormessage": "one or more adjust rules failed.",
"errortype": "error",
"ruleexpressiontype": "lambdaexpression",
"expression": "input1.country == "india" and input1.loyalityfactor <= 2 and input1.totalpurchasestodate >= 5000 and input2.totalorders > 2 and input3.noofvisitspermonth > 2"
}
]
}
]
除了标准的ruleexpressiontype,还可以通过定义rules嵌套多个条件,下面是or逻辑。
{
"rulename": "givediscount30nestedorexample",
"successevent": "30",
"errormessage": "one or more adjust rules failed.",
"errortype": "error",
"operator": "orelse",
"rules":[
{
"rulename": "isloyalandhasgoodspend",
"errormessage": "one or more adjust rules failed.",
"errortype": "error",
"ruleexpressiontype": "lambdaexpression",
"expression": "input1.loyalityfactor > 3 and input1.totalpurchasestodate >= 50000 and input1.totalpurchasestodate <= 100000"
},
{
"rulename": "orhashighnumberoftotalorders",
"errormessage": "one or more adjust rules failed.",
"errortype": "error",
"ruleexpressiontype": "lambdaexpression",
"expression": "input2.totalorders > 15"
}
]
}
示例
可以从官方的代码库中下载示例,定义了上述规则,就可以直接开始用了。示例描述了这么一个应用场景:
根据不同的客户属性,提供不同的折扣。由于销售的情况变化较快,提供折扣的规则也需要经常变动。因此比较适用于规则引擎。
public void run()
{
console.writeline($"running {nameof(basicdemo)}....");
//创建输入
var basicinfo = "{"name": "hello","email": "abcy@xyz.com","credithistory": "good","country": "canada","loyalityfactor": 3,"totalpurchasestodate": 10000}";
var orderinfo = "{"totalorders": 5,"recurringitems": 2}";
var telemetryinfo = "{"noofvisitspermonth": 10,"percentageofbuyingtovisit": 15}";
var converter = new expandoobjectconverter();
dynamic input1 = jsonconvert.deserializeobject<expandoobject>(basicinfo, converter);
dynamic input2 = jsonconvert.deserializeobject<expandoobject>(orderinfo, converter);
dynamic input3 = jsonconvert.deserializeobject<expandoobject>(telemetryinfo, converter);
var inputs = new dynamic[]
{
input1,
input2,
input3
};
//加载规则
var files = directory.getfiles(directory.getcurrentdirectory(), "discount.json", searchoption.alldirectories);
if (files == null || files.length == 0)
throw new exception("rules not found.");
var filedata = file.readalltext(files[0]);
var workflowrules = jsonconvert.deserializeobject<list<workflowrules>>(filedata);
//初始化规则引擎
var bre = new rulesengine.rulesengine(workflowrules.toarray(), null);
string discountoffered = "no discount offered.";
//执行规则
list<ruleresulttree> resultlist = bre.executeallrulesasync("discount", inputs).result;
//处理结果
resultlist.onsuccess((eventname) => {
discountoffered = $"discount offered is {eventname} % over mrp.";
});
resultlist.onfail(() => {
discountoffered = "the user is not eligible for any discount.";
});
console.writeline(discountoffered);
}
输入
输入一般来说是ienumerable<dynamic>或者是匿名类型,上面实例展示的是由json反序列化形成的dynamic类型,对于程序生成的数据,使用匿名类型更加方便。
var nestedinput = new {
simpleprop = "simpleprop",
nestedprop = new {
simpleprop = "nestedsimpleprop",
listprop = new list<listitem>
{
new listitem
{
id = 1,
value = "first"
},
new listitem
{
id = 2,
value = "second"
}
}
}
};
命名空间
和脚本引擎一样,默认规则引擎只能访问system的命名空间。如果需要使用到稍微复杂一些的类型,可以自己定义类型或者函数。比如定义一个这样的函数:
public static class utils
{
public static bool checkcontains(string check, string vallist)
{
if (string.isnullorempty(check) || string.isnullorempty(vallist))
return false;
var list = vallist.split(',').tolist();
return list.contains(check);
}
}
需要使用的时候,先将类传递给rulesengine:
var resettingswithcustomtypes = new resettings { customtypes = new type[] { typeof(utils) } };
var engine = new rulesengine.rulesengine(workflowrules.toarray(), null, resettingswithcustomtypes);
然后就可以直接在表达式中使用了。
"expression": "utils.checkcontains(input1.country, "india,usa,canada,france") == true"
规则参数
默认情况下,规则的输入使用的是类似input1 input2这样的形式,如果想直观一点,可以使用ruleparameter来进行封装具体的参数类型。
ruleparameter ruleparameter = new ruleparameter("nip", nestedinput);
var resultlist = bre.executeallrulesasync(workflow.workflowname, ruleparameter).result;
本地变量
如果表达式比较复杂的情况下,可以使用本地变量来进行分段处理,这对调试来说会比较方便。
本地变量的关键字为localparams,可以将中间的内容简单理解成var name = expression
{
"name": "allow_access_if_all_mandatory_trainings_are_done_or_access_issecure",
"errormessage": "please complete all your training(s) to get access to this content or access it from a secure domain/location.",
"errortype": "error",
"localparams": [
{
"name": "completedsecuritytrainings",
"expression": "mastersecuritycomplaincetrainings.where(status.equals("completed", stringcomparison.invariantcultureignorecase))"
},
{
"name": "completedprojecttrainings",
"expression": "masterprojectcomplaincetrainings.where(status.equals("completed", stringcomparison.invariantcultureignorecase))"
},
{
"name": "isrequestaccesssecured",
"expression": "userrequestdetails.location.country == "india" ? ((userrequestdetails.location.city == "bangalore" && userrequestdetails.domain="xxxx")? true : false):false"
}
],
"expression": "(completedsecuritytrainings.any() && completedprojecttrainings.any()) || isrequestaccesssecured "
}
总结
使用规则引擎,可以将经常变动的业务逻辑独立摘出来,为我们编写动态、可拓展的程序提供了很大的便利。rulesengine这个东西提供的api也比较简洁,上手非常简单。
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