11.2. 使用 KIE 服务器执行 PMML 模型
您可以通过将 ApplyPmmlModelCommand 命令发送到配置的 KIE Server 来执行部署到 KIE 服务器的 PMML 模型。当您使用此命令时,PMMLRequestData 对象将发送到 KIE 服务器,并将一个 PMML4Result 结果对象作为回复接收。您可以通过来自配置的 Java 类或直接从 REST 客户端通过 KIE Server REST API 向 KIE 服务器发送 PMML 请求。
先决�件
-
KIE 服务器已安装并配置,包括具有
kie-server角色的用户的已知用户名和凭证。有关安装选项,请参阅 规划 Red Hat Process Automation Manager 安装。 - KIE 容器以包含 PMML 模型的 KJAR 的形式部署在 KIE 服务器中。有关项目打包的更多信息,请参阅 打包和部署 Red Hat Process Automation Manager 项目。
- 您有包含 PMML 模型的 KIE 容器的容器 ID。
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在客户端应用程序中,将以下依赖项添加到 Java 项目的相关类路径中:
<!-- Required for the PMML compiler --> <dependency> <groupId>org.drools</groupId> <artifactId>kie-pmml</artifactId> <version>${rhpam.version}</version> </dependency> <!-- Required for the KIE public API --> <dependency> <groupId>org.kie</groupId> <artifactId>kie-api</artifactId> <version>${rhpam.version}</version> </dependencies> <!-- Required for the KIE Server Java client API --> <dependency> <groupId>org.kie.server</groupId> <artifactId>kie-server-client</artifactId> <version>${rhpam.version}</version> </dependency> <!-- Required if not using classpath KIE container --> <dependency> <groupId>org.kie</groupId> <artifactId>kie-ci</artifactId> <version>${rhpam.version}</version> </dependency>&
lt;version> 是项目中当前使用的 Red Hat Process Automation Manager 的 Maven 工件版本(如 7.44.0.Final-redhat-00006)。注意考虑将 Red Hat Business Automation Manager (BOM)依赖项添加到项目
pom.xml文件,而不是为单个依赖项指定 Red Hat Process Automation Manager <version>。Red Hat Business Automation BOM 适用于 Red Hat Decision Manager 和 Red Hat Process Automation Manager。当您添加 BOM 文件时,项目中包含了来自提供的 Maven 存储库传输性依赖关系的正确版本。BOM 依赖项示例:
<dependency> <groupId>com.redhat.ba</groupId> <artifactId>ba-platform-bom</artifactId> <version>7.9.1.redhat-00003</version> <scope>import</scope> <type>pom</type> </dependency>有关 Red Hat Business Automation BOM 的更多信息,请参阅 RHPAM 产品和 maven 库版本之间的映射是什么?
从
classpath或ReleaseId创建 KIE 容器:KieServices kieServices = KieServices.Factory.get(); ReleaseId releaseId = kieServices.newReleaseId( "org.acme", "my-kjar", "1.0.0" ); KieContainer kieContainer = kieServices.newKieContainer( releaseId );其它选项:
KieServices kieServices = KieServices.Factory.get(); KieContainer kieContainer = kieServices.getKieClasspathContainer();创建将请求发送到 KIE 服务器的类并接收响应:
public class ApplyScorecardModel { private static final ReleaseId releaseId = new ReleaseId("org.acme","my-kjar","1.0.0"); private static final String containerId = "SampleModelContainer"; private static KieCommands commandFactory; private static ClassLoader kjarClassLoader;1 private RuleServicesClient serviceClient;2 // Attributes specific to your class instance private String rankedFirstCode; private Double score; // Initialization of non-final static attributes static { commandFactory = KieServices.Factory.get().getCommands(); // Specifications for kjarClassLoader, if used KieMavenRepository kmp = KieMavenRepository.getMavenRepository(); File artifactFile = kmp.resolveArtifact(releaseId).getFile(); if (artifactFile != null) { URL urls[] = new URL[1]; try { urls[0] = artifactFile.toURI().toURL(); classLoader = new KieURLClassLoader(urls,PMML4Result.class.getClassLoader()); } catch (MalformedURLException e) { logger.error("Error getting classLoader for "+containerId); logger.error(e.getMessage()); } } else { logger.warn("Did not find the artifact file for "+releaseId.toString()); } } public ApplyScorecardModel(KieServicesConfiguration kieConfig) { KieServicesClient clientFactory = KieServicesFactory.newKieServicesClient(kieConfig); serviceClient = clientFactory.getServicesClient(RuleServicesClient.class); } ... // Getters and setters ... // Method for executing the PMML model on KIE Server public void applyModel(String occupation, int age) { PMMLRequestData input = new PMMLRequestData("1234","SampleModelName");3 input.addRequestParam(new ParameterInfo("1234","occupation",String.class,occupation)); input.addRequestParam(new ParameterInfo("1234","age",Integer.class,age)); CommandFactoryServiceImpl cf = (CommandFactoryServiceImpl)commandFactory; ApplyPmmlModelCommand command = (ApplyPmmlModelCommand) cf.newApplyPmmlModel(request);4 ServiceResponse<ExecutionResults> results = ruleClient.executeCommandsWithResults(CONTAINER_ID, command);5 if (results != null) {6 PMML4Result resultHolder = (PMML4Result)results.getResult().getValue("results"); if (resultHolder != null && "OK".equals(resultHolder.getResultCode())) { this.score = resultHolder.getResultValue("ScoreCard","score",Double.class).get(); Map<String,Object> rankingMap = (Map<String,Object>)resultHolder.getResultValue("ScoreCard","ranking"); if (rankingMap != null && !rankingMap.isEmpty()) { this.rankedFirstCode = rankingMap.keySet().iterator().next(); } } } } }执行类实例,将 PMML 调用请求发送到 KIE 服务器。
或者,您可以使用 JMS 和 REST 接口将
ApplyPmmlModelCommand命令发送到 KIE 服务器。对于 REST 请求,您可以使用ApplyPmmlModelCommand命令作为对 JSON、JAXB 或 XStream 请求格式的http://SERVER:PORT/kie-server/services/rest/server/containers/instances/{containerId}的POST请求。POST 端点示例
http://localhost:8080/kie-server/services/rest/server/containers/instances/SampleModelContainerJSON 请求正文示例
{ "commands": [ { "apply-pmml-model-command": { "outIdentifier": null, "packageName": null, "hasMining": false, "requestData": { "correlationId": "123", "modelName": "SimpleScorecard", "source": null, "requestParams": [ { "correlationId": "123", "name": "param1", "type": "java.lang.Double", "value": "10.0" }, { "correlationId": "123", "name": "param2", "type": "java.lang.Double", "value": "15.0" } ] } } } ] }带有端点和正文的 curl 请求示例
curl -X POST "http://localhost:8080/kie-server/services/rest/server/containers/instances/SampleModelContainer" -H "accept: application/json" -H "content-type: application/json" -d "{ \"commands\": [ { \"apply-pmml-model-command\": { \"outIdentifier\": null, \"packageName\": null, \"hasMining\": false, \"requestData\": { \"correlationId\": \"123\", \"modelName\": \"SimpleScorecard\", \"source\": null, \"requestParams\": [ { \"correlationId\": \"123\", \"name\": \"param1\", \"type\": \"java.lang.Double\", \"value\": \"10.0\" }, { \"correlationId\": \"123\", \"name\": \"param2\", \"type\": \"java.lang.Double\", \"value\": \"15.0\" } ] } } } ]}"JSON 响应示例
{ "results" : [ { "value" : {"org.kie.api.pmml.DoubleFieldOutput":{ "value" : 40.8, "correlationId" : "123", "segmentationId" : null, "segmentId" : null, "name" : "OverallScore", "displayValue" : "OverallScore", "weight" : 1.0 }}, "key" : "OverallScore" }, { "value" : {"org.kie.api.pmml.PMML4Result":{ "resultVariables" : { "OverallScore" : { "value" : 40.8, "correlationId" : "123", "segmentationId" : null, "segmentId" : null, "name" : "OverallScore", "displayValue" : "OverallScore", "weight" : 1.0 }, "ScoreCard" : { "modelName" : "SimpleScorecard", "score" : 40.8, "holder" : { "modelName" : "SimpleScorecard", "correlationId" : "123", "voverallScore" : null, "moverallScore" : true, "vparam1" : 10.0, "mparam1" : false, "vparam2" : 15.0, "mparam2" : false }, "enableRC" : true, "pointsBelow" : true, "ranking" : { "reasonCh1" : 5.0, "reasonCh2" : -6.0 } } }, "correlationId" : "123", "segmentationId" : null, "segmentId" : null, "segmentIndex" : 0, "resultCode" : "OK", "resultObjectName" : null }}, "key" : "results" } ], "facts" : [ ] }