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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
/*
* Copyright 2011-2016 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 com.amazonaws.services.machinelearning.model.transform;
import java.io.ByteArrayInputStream;
import java.util.Collections;
import java.util.Map;
import java.util.List;
import java.util.regex.Pattern;
import com.amazonaws.SdkClientException;
import com.amazonaws.Request;
import com.amazonaws.DefaultRequest;
import com.amazonaws.http.HttpMethodName;
import com.amazonaws.services.machinelearning.model.*;
import com.amazonaws.transform.Marshaller;
import com.amazonaws.util.BinaryUtils;
import com.amazonaws.util.StringUtils;
import com.amazonaws.util.IdempotentUtils;
import com.amazonaws.util.StringInputStream;
import com.amazonaws.protocol.json.*;
/**
* CreateDataSourceFromS3Request Marshaller
*/
public class CreateDataSourceFromS3RequestMarshaller implements Marshaller, CreateDataSourceFromS3Request> {
private final SdkJsonProtocolFactory protocolFactory;
public CreateDataSourceFromS3RequestMarshaller(SdkJsonProtocolFactory protocolFactory) {
this.protocolFactory = protocolFactory;
}
public Request marshall(CreateDataSourceFromS3Request createDataSourceFromS3Request) {
if (createDataSourceFromS3Request == null) {
throw new SdkClientException("Invalid argument passed to marshall(...)");
}
Request request = new DefaultRequest(createDataSourceFromS3Request,
"AmazonMachineLearning");
request.addHeader("X-Amz-Target", "AmazonML_20141212.CreateDataSourceFromS3");
request.setHttpMethod(HttpMethodName.POST);
request.setResourcePath("");
try {
final StructuredJsonGenerator jsonGenerator = protocolFactory.createGenerator();
jsonGenerator.writeStartObject();
if (createDataSourceFromS3Request.getDataSourceId() != null) {
jsonGenerator.writeFieldName("DataSourceId").writeValue(createDataSourceFromS3Request.getDataSourceId());
}
if (createDataSourceFromS3Request.getDataSourceName() != null) {
jsonGenerator.writeFieldName("DataSourceName").writeValue(createDataSourceFromS3Request.getDataSourceName());
}
if (createDataSourceFromS3Request.getDataSpec() != null) {
jsonGenerator.writeFieldName("DataSpec");
S3DataSpecJsonMarshaller.getInstance().marshall(createDataSourceFromS3Request.getDataSpec(), jsonGenerator);
}
if (createDataSourceFromS3Request.getComputeStatistics() != null) {
jsonGenerator.writeFieldName("ComputeStatistics").writeValue(createDataSourceFromS3Request.getComputeStatistics());
}
jsonGenerator.writeEndObject();
byte[] content = jsonGenerator.getBytes();
request.setContent(new ByteArrayInputStream(content));
request.addHeader("Content-Length", Integer.toString(content.length));
request.addHeader("Content-Type", protocolFactory.getContentType());
} catch (Throwable t) {
throw new SdkClientException("Unable to marshall request to JSON: " + t.getMessage(), t);
}
return request;
}
}
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