使用 SDK for Java 2.x 的 Amazon Personalize 示例 - Amazon SDK for Java 2.x
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使用 SDK for Java 2.x 的 Amazon Personalize 示例

以下代码示例向您展示了如何使用 Amazon SDK for Java 2.x 与 Amazon Personalize 配合使用来执行操作和实现常见场景。

操作是大型程序的代码摘录,必须在上下文中运行。您可以通过操作了解如何调用单个服务函数,还可以通过函数相关场景和跨服务示例的上下文查看操作。

场景 是展示如何通过在同一服务中调用多个函数来完成特定任务的代码示例。

每个示例都包含一个指向的链接 GitHub,您可以在其中找到有关如何在上下文中设置和运行代码的说明。

主题

操作

以下代码示例演示了如何使用 CreateBatchInferenceJob

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static String createPersonalizeBatchInferenceJob(PersonalizeClient personalizeClient, String solutionVersionArn, String jobName, String s3InputDataSourcePath, String s3DataDestinationPath, String roleArn, String explorationWeight, String explorationItemAgeCutOff) { long waitInMilliseconds = 60 * 1000; String status; String batchInferenceJobArn; try { // Set up data input and output parameters. S3DataConfig inputSource = S3DataConfig.builder() .path(s3InputDataSourcePath) .build(); S3DataConfig outputDestination = S3DataConfig.builder() .path(s3DataDestinationPath) .build(); BatchInferenceJobInput jobInput = BatchInferenceJobInput.builder() .s3DataSource(inputSource) .build(); BatchInferenceJobOutput jobOutputLocation = BatchInferenceJobOutput.builder() .s3DataDestination(outputDestination) .build(); // Optional code to build the User-Personalization specific item exploration // config. HashMap<String, String> explorationConfig = new HashMap<>(); explorationConfig.put("explorationWeight", explorationWeight); explorationConfig.put("explorationItemAgeCutOff", explorationItemAgeCutOff); BatchInferenceJobConfig jobConfig = BatchInferenceJobConfig.builder() .itemExplorationConfig(explorationConfig) .build(); // End optional User-Personalization recipe specific code. CreateBatchInferenceJobRequest createBatchInferenceJobRequest = CreateBatchInferenceJobRequest .builder() .solutionVersionArn(solutionVersionArn) .jobInput(jobInput) .jobOutput(jobOutputLocation) .jobName(jobName) .roleArn(roleArn) .batchInferenceJobConfig(jobConfig) // Optional .build(); batchInferenceJobArn = personalizeClient.createBatchInferenceJob(createBatchInferenceJobRequest) .batchInferenceJobArn(); DescribeBatchInferenceJobRequest describeBatchInferenceJobRequest = DescribeBatchInferenceJobRequest .builder() .batchInferenceJobArn(batchInferenceJobArn) .build(); long maxTime = Instant.now().getEpochSecond() + 3 * 60 * 60; while (Instant.now().getEpochSecond() < maxTime) { BatchInferenceJob batchInferenceJob = personalizeClient .describeBatchInferenceJob(describeBatchInferenceJobRequest) .batchInferenceJob(); status = batchInferenceJob.status(); System.out.println("Batch inference job status: " + status); if (status.equals("ACTIVE") || status.equals("CREATE FAILED")) { break; } try { Thread.sleep(waitInMilliseconds); } catch (InterruptedException e) { System.out.println(e.getMessage()); } } return batchInferenceJobArn; } catch (PersonalizeException e) { System.out.println(e.awsErrorDetails().errorMessage()); } return ""; }

以下代码示例演示了如何使用 CreateCampaign

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static void createPersonalCompaign(PersonalizeClient personalizeClient, String solutionVersionArn, String name) { try { CreateCampaignRequest createCampaignRequest = CreateCampaignRequest.builder() .minProvisionedTPS(1) .solutionVersionArn(solutionVersionArn) .name(name) .build(); CreateCampaignResponse campaignResponse = personalizeClient.createCampaign(createCampaignRequest); System.out.println("The campaign ARN is " + campaignResponse.campaignArn()); } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考CreateCampaign中的。

以下代码示例演示了如何使用 CreateDataset

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static String createDataset(PersonalizeClient personalizeClient, String datasetName, String datasetGroupArn, String datasetType, String schemaArn) { try { CreateDatasetRequest request = CreateDatasetRequest.builder() .name(datasetName) .datasetGroupArn(datasetGroupArn) .datasetType(datasetType) .schemaArn(schemaArn) .build(); String datasetArn = personalizeClient.createDataset(request) .datasetArn(); System.out.println("Dataset " + datasetName + " created."); return datasetArn; } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } return ""; }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考CreateDataset中的。

以下代码示例演示了如何使用 CreateDatasetExportJob

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static String createDatasetExportJob(PersonalizeClient personalizeClient, String jobName, String datasetArn, IngestionMode ingestionMode, String roleArn, String s3BucketPath, String kmsKeyArn) { long waitInMilliseconds = 30 * 1000; // 30 seconds String status = null; try { S3DataConfig exportS3DataConfig = S3DataConfig.builder().path(s3BucketPath).kmsKeyArn(kmsKeyArn).build(); DatasetExportJobOutput jobOutput = DatasetExportJobOutput.builder().s3DataDestination(exportS3DataConfig) .build(); CreateDatasetExportJobRequest createRequest = CreateDatasetExportJobRequest.builder() .jobName(jobName) .datasetArn(datasetArn) .ingestionMode(ingestionMode) .jobOutput(jobOutput) .roleArn(roleArn) .build(); String datasetExportJobArn = personalizeClient.createDatasetExportJob(createRequest).datasetExportJobArn(); DescribeDatasetExportJobRequest describeDatasetExportJobRequest = DescribeDatasetExportJobRequest.builder() .datasetExportJobArn(datasetExportJobArn) .build(); long maxTime = Instant.now().getEpochSecond() + 3 * 60 * 60; while (Instant.now().getEpochSecond() < maxTime) { DatasetExportJob datasetExportJob = personalizeClient .describeDatasetExportJob(describeDatasetExportJobRequest) .datasetExportJob(); status = datasetExportJob.status(); System.out.println("Export job status: " + status); if (status.equals("ACTIVE") || status.equals("CREATE FAILED")) { return status; } try { Thread.sleep(waitInMilliseconds); } catch (InterruptedException e) { System.out.println(e.getMessage()); } } } catch (PersonalizeException e) { System.out.println(e.awsErrorDetails().errorMessage()); } return ""; }

以下代码示例演示了如何使用 CreateDatasetGroup

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static String createDatasetGroup(PersonalizeClient personalizeClient, String datasetGroupName) { try { CreateDatasetGroupRequest createDatasetGroupRequest = CreateDatasetGroupRequest.builder() .name(datasetGroupName) .build(); return personalizeClient.createDatasetGroup(createDatasetGroupRequest).datasetGroupArn(); } catch (PersonalizeException e) { System.out.println(e.awsErrorDetails().errorMessage()); } return ""; }

创建域数据集组。

public static String createDomainDatasetGroup(PersonalizeClient personalizeClient, String datasetGroupName, String domain) { try { CreateDatasetGroupRequest createDatasetGroupRequest = CreateDatasetGroupRequest.builder() .name(datasetGroupName) .domain(domain) .build(); return personalizeClient.createDatasetGroup(createDatasetGroupRequest).datasetGroupArn(); } catch (PersonalizeException e) { System.out.println(e.awsErrorDetails().errorMessage()); } return ""; }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考CreateDatasetGroup中的。

以下代码示例演示了如何使用 CreateDatasetImportJob

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static String createPersonalizeDatasetImportJob(PersonalizeClient personalizeClient, String jobName, String datasetArn, String s3BucketPath, String roleArn) { long waitInMilliseconds = 60 * 1000; String status; String datasetImportJobArn; try { DataSource importDataSource = DataSource.builder() .dataLocation(s3BucketPath) .build(); CreateDatasetImportJobRequest createDatasetImportJobRequest = CreateDatasetImportJobRequest.builder() .datasetArn(datasetArn) .dataSource(importDataSource) .jobName(jobName) .roleArn(roleArn) .build(); datasetImportJobArn = personalizeClient.createDatasetImportJob(createDatasetImportJobRequest) .datasetImportJobArn(); DescribeDatasetImportJobRequest describeDatasetImportJobRequest = DescribeDatasetImportJobRequest.builder() .datasetImportJobArn(datasetImportJobArn) .build(); long maxTime = Instant.now().getEpochSecond() + 3 * 60 * 60; while (Instant.now().getEpochSecond() < maxTime) { DatasetImportJob datasetImportJob = personalizeClient .describeDatasetImportJob(describeDatasetImportJobRequest) .datasetImportJob(); status = datasetImportJob.status(); System.out.println("Dataset import job status: " + status); if (status.equals("ACTIVE") || status.equals("CREATE FAILED")) { break; } try { Thread.sleep(waitInMilliseconds); } catch (InterruptedException e) { System.out.println(e.getMessage()); } } return datasetImportJobArn; } catch (PersonalizeException e) { System.out.println(e.awsErrorDetails().errorMessage()); } return ""; }

以下代码示例演示了如何使用 CreateEventTracker

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static String createEventTracker(PersonalizeClient personalizeClient, String eventTrackerName, String datasetGroupArn) { String eventTrackerId = ""; String eventTrackerArn; long maxTime = 3 * 60 * 60; // 3 hours long waitInMilliseconds = 20 * 1000; // 20 seconds String status; try { CreateEventTrackerRequest createEventTrackerRequest = CreateEventTrackerRequest.builder() .name(eventTrackerName) .datasetGroupArn(datasetGroupArn) .build(); CreateEventTrackerResponse createEventTrackerResponse = personalizeClient .createEventTracker(createEventTrackerRequest); eventTrackerArn = createEventTrackerResponse.eventTrackerArn(); eventTrackerId = createEventTrackerResponse.trackingId(); System.out.println("Event tracker ARN: " + eventTrackerArn); System.out.println("Event tracker ID: " + eventTrackerId); maxTime = Instant.now().getEpochSecond() + maxTime; DescribeEventTrackerRequest describeRequest = DescribeEventTrackerRequest.builder() .eventTrackerArn(eventTrackerArn) .build(); while (Instant.now().getEpochSecond() < maxTime) { status = personalizeClient.describeEventTracker(describeRequest).eventTracker().status(); System.out.println("EventTracker status: " + status); if (status.equals("ACTIVE") || status.equals("CREATE FAILED")) { break; } try { Thread.sleep(waitInMilliseconds); } catch (InterruptedException e) { System.out.println(e.getMessage()); } } return eventTrackerId; } catch (PersonalizeException e) { System.out.println(e.awsErrorDetails().errorMessage()); System.exit(1); } return eventTrackerId; }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考CreateEventTracker中的。

以下代码示例演示了如何使用 CreateFilter

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static String createFilter(PersonalizeClient personalizeClient, String filterName, String datasetGroupArn, String filterExpression) { try { CreateFilterRequest request = CreateFilterRequest.builder() .name(filterName) .datasetGroupArn(datasetGroupArn) .filterExpression(filterExpression) .build(); return personalizeClient.createFilter(request).filterArn(); } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } return ""; }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考CreateFilter中的。

以下代码示例演示了如何使用 CreateRecommender

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static String createRecommender(PersonalizeClient personalizeClient, String name, String datasetGroupArn, String recipeArn) { long maxTime = 0; long waitInMilliseconds = 30 * 1000; // 30 seconds String recommenderStatus = ""; try { CreateRecommenderRequest createRecommenderRequest = CreateRecommenderRequest.builder() .datasetGroupArn(datasetGroupArn) .name(name) .recipeArn(recipeArn) .build(); CreateRecommenderResponse recommenderResponse = personalizeClient .createRecommender(createRecommenderRequest); String recommenderArn = recommenderResponse.recommenderArn(); System.out.println("The recommender ARN is " + recommenderArn); DescribeRecommenderRequest describeRecommenderRequest = DescribeRecommenderRequest.builder() .recommenderArn(recommenderArn) .build(); maxTime = Instant.now().getEpochSecond() + 3 * 60 * 60; while (Instant.now().getEpochSecond() < maxTime) { recommenderStatus = personalizeClient.describeRecommender(describeRecommenderRequest).recommender() .status(); System.out.println("Recommender status: " + recommenderStatus); if (recommenderStatus.equals("ACTIVE") || recommenderStatus.equals("CREATE FAILED")) { break; } try { Thread.sleep(waitInMilliseconds); } catch (InterruptedException e) { System.out.println(e.getMessage()); } } return recommenderArn; } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } return ""; }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考CreateRecommender中的。

以下代码示例演示了如何使用 CreateSchema

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static String createSchema(PersonalizeClient personalizeClient, String schemaName, String filePath) { String schema = null; try { schema = new String(Files.readAllBytes(Paths.get(filePath))); } catch (IOException e) { System.out.println(e.getMessage()); } try { CreateSchemaRequest createSchemaRequest = CreateSchemaRequest.builder() .name(schemaName) .schema(schema) .build(); String schemaArn = personalizeClient.createSchema(createSchemaRequest).schemaArn(); System.out.println("Schema arn: " + schemaArn); return schemaArn; } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } return ""; }

使用域创建架构。

public static String createDomainSchema(PersonalizeClient personalizeClient, String schemaName, String domain, String filePath) { String schema = null; try { schema = new String(Files.readAllBytes(Paths.get(filePath))); } catch (IOException e) { System.out.println(e.getMessage()); } try { CreateSchemaRequest createSchemaRequest = CreateSchemaRequest.builder() .name(schemaName) .domain(domain) .schema(schema) .build(); String schemaArn = personalizeClient.createSchema(createSchemaRequest).schemaArn(); System.out.println("Schema arn: " + schemaArn); return schemaArn; } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } return ""; }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考CreateSchema中的。

以下代码示例演示了如何使用 CreateSolution

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static String createPersonalizeSolution(PersonalizeClient personalizeClient, String datasetGroupArn, String solutionName, String recipeArn) { try { CreateSolutionRequest solutionRequest = CreateSolutionRequest.builder() .name(solutionName) .datasetGroupArn(datasetGroupArn) .recipeArn(recipeArn) .build(); CreateSolutionResponse solutionResponse = personalizeClient.createSolution(solutionRequest); return solutionResponse.solutionArn(); } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } return ""; }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考CreateSolution中的。

以下代码示例演示了如何使用 CreateSolutionVersion

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static String createPersonalizeSolutionVersion(PersonalizeClient personalizeClient, String solutionArn) { long maxTime = 0; long waitInMilliseconds = 30 * 1000; // 30 seconds String solutionStatus = ""; String solutionVersionStatus = ""; String solutionVersionArn = ""; try { DescribeSolutionRequest describeSolutionRequest = DescribeSolutionRequest.builder() .solutionArn(solutionArn) .build(); maxTime = Instant.now().getEpochSecond() + 3 * 60 * 60; // Wait until solution is active. while (Instant.now().getEpochSecond() < maxTime) { solutionStatus = personalizeClient.describeSolution(describeSolutionRequest).solution().status(); System.out.println("Solution status: " + solutionStatus); if (solutionStatus.equals("ACTIVE") || solutionStatus.equals("CREATE FAILED")) { break; } try { Thread.sleep(waitInMilliseconds); } catch (InterruptedException e) { System.out.println(e.getMessage()); } } if (solutionStatus.equals("ACTIVE")) { CreateSolutionVersionRequest createSolutionVersionRequest = CreateSolutionVersionRequest.builder() .solutionArn(solutionArn) .build(); CreateSolutionVersionResponse createSolutionVersionResponse = personalizeClient .createSolutionVersion(createSolutionVersionRequest); solutionVersionArn = createSolutionVersionResponse.solutionVersionArn(); System.out.println("Solution version ARN: " + solutionVersionArn); DescribeSolutionVersionRequest describeSolutionVersionRequest = DescribeSolutionVersionRequest.builder() .solutionVersionArn(solutionVersionArn) .build(); while (Instant.now().getEpochSecond() < maxTime) { solutionVersionStatus = personalizeClient.describeSolutionVersion(describeSolutionVersionRequest) .solutionVersion().status(); System.out.println("Solution version status: " + solutionVersionStatus); if (solutionVersionStatus.equals("ACTIVE") || solutionVersionStatus.equals("CREATE FAILED")) { break; } try { Thread.sleep(waitInMilliseconds); } catch (InterruptedException e) { System.out.println(e.getMessage()); } } return solutionVersionArn; } } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } return ""; }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考CreateSolutionVersion中的。

以下代码示例演示了如何使用 DeleteCampaign

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static void deleteSpecificCampaign(PersonalizeClient personalizeClient, String campaignArn) { try { DeleteCampaignRequest campaignRequest = DeleteCampaignRequest.builder() .campaignArn(campaignArn) .build(); personalizeClient.deleteCampaign(campaignRequest); } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考DeleteCampaign中的。

以下代码示例演示了如何使用 DeleteEventTracker

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static void deleteEventTracker(PersonalizeClient personalizeClient, String eventTrackerArn) { try { DeleteEventTrackerRequest deleteEventTrackerRequest = DeleteEventTrackerRequest.builder() .eventTrackerArn(eventTrackerArn) .build(); int status = personalizeClient.deleteEventTracker(deleteEventTrackerRequest).sdkHttpResponse().statusCode(); System.out.println("Status code:" + status); } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考DeleteEventTracker中的。

以下代码示例演示了如何使用 DeleteSolution

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static void deleteGivenSolution(PersonalizeClient personalizeClient, String solutionArn) { try { DeleteSolutionRequest solutionRequest = DeleteSolutionRequest.builder() .solutionArn(solutionArn) .build(); personalizeClient.deleteSolution(solutionRequest); System.out.println("Done"); } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考DeleteSolution中的。

以下代码示例演示了如何使用 DescribeCampaign

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static void describeSpecificCampaign(PersonalizeClient personalizeClient, String campaignArn) { try { DescribeCampaignRequest campaignRequest = DescribeCampaignRequest.builder() .campaignArn(campaignArn) .build(); DescribeCampaignResponse campaignResponse = personalizeClient.describeCampaign(campaignRequest); Campaign myCampaign = campaignResponse.campaign(); System.out.println("The Campaign name is " + myCampaign.name()); System.out.println("The Campaign status is " + myCampaign.status()); } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考DescribeCampaign中的。

以下代码示例演示了如何使用 DescribeRecipe

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static void describeSpecificRecipe(PersonalizeClient personalizeClient, String recipeArn) { try { DescribeRecipeRequest recipeRequest = DescribeRecipeRequest.builder() .recipeArn(recipeArn) .build(); DescribeRecipeResponse recipeResponse = personalizeClient.describeRecipe(recipeRequest); System.out.println("The recipe name is " + recipeResponse.recipe().name()); } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考DescribeRecipe中的。

以下代码示例演示了如何使用 DescribeSolution

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static void describeSpecificSolution(PersonalizeClient personalizeClient, String solutionArn) { try { DescribeSolutionRequest solutionRequest = DescribeSolutionRequest.builder() .solutionArn(solutionArn) .build(); DescribeSolutionResponse response = personalizeClient.describeSolution(solutionRequest); System.out.println("The Solution name is " + response.solution().name()); } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考DescribeSolution中的。

以下代码示例演示了如何使用 ListCampaigns

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static void listAllCampaigns(PersonalizeClient personalizeClient, String solutionArn) { try { ListCampaignsRequest campaignsRequest = ListCampaignsRequest.builder() .maxResults(10) .solutionArn(solutionArn) .build(); ListCampaignsResponse response = personalizeClient.listCampaigns(campaignsRequest); List<CampaignSummary> campaigns = response.campaigns(); for (CampaignSummary campaign : campaigns) { System.out.println("Campaign name is : " + campaign.name()); System.out.println("Campaign ARN is : " + campaign.campaignArn()); } } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考ListCampaigns中的。

以下代码示例演示了如何使用 ListDatasetGroups

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static void listDSGroups(PersonalizeClient personalizeClient) { try { ListDatasetGroupsRequest groupsRequest = ListDatasetGroupsRequest.builder() .maxResults(15) .build(); ListDatasetGroupsResponse groupsResponse = personalizeClient.listDatasetGroups(groupsRequest); List<DatasetGroupSummary> groups = groupsResponse.datasetGroups(); for (DatasetGroupSummary group : groups) { System.out.println("The DataSet name is : " + group.name()); System.out.println("The DataSet ARN is : " + group.datasetGroupArn()); } } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考ListDatasetGroups中的。

以下代码示例演示了如何使用 ListRecipes

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static void listAllRecipes(PersonalizeClient personalizeClient) { try { ListRecipesRequest recipesRequest = ListRecipesRequest.builder() .maxResults(15) .build(); ListRecipesResponse response = personalizeClient.listRecipes(recipesRequest); List<RecipeSummary> recipes = response.recipes(); for (RecipeSummary recipe : recipes) { System.out.println("The recipe ARN is: " + recipe.recipeArn()); System.out.println("The recipe name is: " + recipe.name()); } } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考ListRecipes中的。

以下代码示例演示了如何使用 ListSolutions

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static void listAllSolutions(PersonalizeClient personalizeClient, String datasetGroupArn) { try { ListSolutionsRequest solutionsRequest = ListSolutionsRequest.builder() .maxResults(10) .datasetGroupArn(datasetGroupArn) .build(); ListSolutionsResponse response = personalizeClient.listSolutions(solutionsRequest); List<SolutionSummary> solutions = response.solutions(); for (SolutionSummary solution : solutions) { System.out.println("The solution ARN is: " + solution.solutionArn()); System.out.println("The solution name is: " + solution.name()); } } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考ListSolutions中的。

以下代码示例演示了如何使用 UpdateCampaign

适用于 Java 2.x 的 SDK
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

public static String updateCampaign(PersonalizeClient personalizeClient, String campaignArn, String solutionVersionArn, Integer minProvisionedTPS) { try { // build the updateCampaignRequest UpdateCampaignRequest updateCampaignRequest = UpdateCampaignRequest.builder() .campaignArn(campaignArn) .solutionVersionArn(solutionVersionArn) .minProvisionedTPS(minProvisionedTPS) .build(); // update the campaign personalizeClient.updateCampaign(updateCampaignRequest); DescribeCampaignRequest campaignRequest = DescribeCampaignRequest.builder() .campaignArn(campaignArn) .build(); DescribeCampaignResponse campaignResponse = personalizeClient.describeCampaign(campaignRequest); Campaign updatedCampaign = campaignResponse.campaign(); System.out.println("The Campaign status is " + updatedCampaign.status()); return updatedCampaign.status(); } catch (PersonalizeException e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } return ""; }
  • 有关 API 的详细信息,请参阅 Amazon SDK for Java 2.x API 参考UpdateCampaign中的。