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The AWS Java SDK for Amazon Machine Learning module holds the client classes that is used for communicating with Amazon Machine Learning Service

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/*
 * Copyright 2014-2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
 * 
 * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with
 * the License. A copy of the License is located at
 * 
 * http://aws.amazon.com/apache2.0
 * 
 * or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
 * CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions
 * and limitations under the License.
 */

package software.amazon.awssdk.services.machinelearning.paginators;

import java.util.Collections;
import java.util.Iterator;
import java.util.function.Function;
import software.amazon.awssdk.annotations.Generated;
import software.amazon.awssdk.core.pagination.sync.PaginatedItemsIterable;
import software.amazon.awssdk.core.pagination.sync.PaginatedResponsesIterator;
import software.amazon.awssdk.core.pagination.sync.SdkIterable;
import software.amazon.awssdk.core.pagination.sync.SyncPageFetcher;
import software.amazon.awssdk.core.util.PaginatorUtils;
import software.amazon.awssdk.services.machinelearning.MachineLearningClient;
import software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest;
import software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsResponse;
import software.amazon.awssdk.services.machinelearning.model.MLModel;

/**
 * 

* Represents the output for the * {@link software.amazon.awssdk.services.machinelearning.MachineLearningClient#describeMLModelsPaginator(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest)} * operation which is a paginated operation. This class is an iterable of * {@link software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsResponse} that can be used to iterate * through all the response pages of the operation. *

*

* When the operation is called, an instance of this class is returned. At this point, no service calls are made yet and * so there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily * loading response pages by making service calls until there are no pages left or your iteration stops. If there are * errors in your request, you will see the failures only after you start iterating through the iterable. *

* *

* The following are few ways to iterate through the response pages: *

* 1) Using a Stream * *
 * {@code
 * software.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsIterable responses = client.describeMLModelsPaginator(request);
 * responses.stream().forEach(....);
 * }
 * 
* * 2) Using For loop * *
 * {
 *     @code
 *     software.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsIterable responses = client
 *             .describeMLModelsPaginator(request);
 *     for (software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsResponse response : responses) {
 *         // do something;
 *     }
 * }
 * 
* * 3) Use iterator directly * *
 * {@code
 * software.amazon.awssdk.services.machinelearning.paginators.DescribeMLModelsIterable responses = client.describeMLModelsPaginator(request);
 * responses.iterator().forEachRemaining(....);
 * }
 * 
*

* Note: If you prefer to have control on service calls, use the * {@link #describeMLModels(software.amazon.awssdk.services.machinelearning.model.DescribeMlModelsRequest)} * operation. *

*/ @Generated("software.amazon.awssdk:codegen") public class DescribeMLModelsIterable implements SdkIterable { private final MachineLearningClient client; private final DescribeMlModelsRequest firstRequest; private final SyncPageFetcher nextPageFetcher; public DescribeMLModelsIterable(MachineLearningClient client, DescribeMlModelsRequest firstRequest) { this.client = client; this.firstRequest = firstRequest; this.nextPageFetcher = new DescribeMlModelsResponseFetcher(); } @Override public Iterator iterator() { return PaginatedResponsesIterator.builder().nextPageFetcher(nextPageFetcher).build(); } /** * Returns an iterable to iterate through the paginated {@link DescribeMlModelsResponse#results()} member. The * returned iterable is used to iterate through the results across all response pages and not a single page. * * This method is useful if you are interested in iterating over the paginated member in the response pages instead * of the top level pages. Similar to iteration over pages, this method internally makes service calls to get the * next list of results until the iteration stops or there are no more results. */ public final SdkIterable results() { Function> getIterator = response -> { if (response != null && response.results() != null) { return response.results().iterator(); } return Collections.emptyIterator(); }; return PaginatedItemsIterable.builder().pagesIterable(this).itemIteratorFunction(getIterator).build(); } /** *

* A helper method to resume the pages in case of unexpected failures. The method takes the last successful response * page as input and returns an instance of {@link DescribeMLModelsIterable} that can be used to retrieve the * consecutive pages that follows the input page. *

*/ private final DescribeMLModelsIterable resume(DescribeMlModelsResponse lastSuccessfulPage) { if (nextPageFetcher.hasNextPage(lastSuccessfulPage)) { return new DescribeMLModelsIterable(client, firstRequest.toBuilder().nextToken(lastSuccessfulPage.nextToken()) .build()); } return new DescribeMLModelsIterable(client, firstRequest) { @Override public Iterator iterator() { return Collections.emptyIterator(); } }; } private class DescribeMlModelsResponseFetcher implements SyncPageFetcher { @Override public boolean hasNextPage(DescribeMlModelsResponse previousPage) { return PaginatorUtils.isOutputTokenAvailable(previousPage.nextToken()); } @Override public DescribeMlModelsResponse nextPage(DescribeMlModelsResponse previousPage) { if (previousPage == null) { return client.describeMLModels(firstRequest); } return client.describeMLModels(firstRequest.toBuilder().nextToken(previousPage.nextToken()).build()); } } }




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