/*
* Copyright 2010-2016 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;
import java.util.*;
import com.amazonaws.*;
import com.amazonaws.auth.*;
import com.amazonaws.handlers.*;
import com.amazonaws.http.*;
import com.amazonaws.internal.*;
import com.amazonaws.metrics.*;
import com.amazonaws.transform.*;
import com.amazonaws.util.*;
import com.amazonaws.util.AWSRequestMetrics.Field;
import com.amazonaws.services.machinelearning.model.*;
import com.amazonaws.services.machinelearning.model.transform.*;
/**
* Client for accessing Amazon Machine Learning. All service calls made using
* this client are blocking, and will not return until the service call
* completes.
* <p>
* Definition of the public APIs exposed by Amazon Machine Learning
*/
public class AmazonMachineLearningClient extends AmazonWebServiceClient implements
AmazonMachineLearning {
/** Provider for AWS credentials. */
private AWSCredentialsProvider awsCredentialsProvider;
/**
* List of exception unmarshallers for all Amazon Machine Learning
* exceptions.
*/
protected List<JsonErrorUnmarshaller> jsonErrorUnmarshallers;
/**
* Constructs a new client to invoke service methods on
* AmazonMachineLearning. A credentials provider chain will be used that
* searches for credentials in this order:
* <ul>
* <li>Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_KEY</li>
* <li>Java System Properties - aws.accessKeyId and aws.secretKey</li>
* <li>Instance profile credentials delivered through the Amazon EC2
* metadata service</li>
* </ul>
* <p>
* All service calls made using this new client object are blocking, and
* will not return until the service call completes.
*
* @see DefaultAWSCredentialsProviderChain
*/
@Deprecated
public AmazonMachineLearningClient() {
this(new DefaultAWSCredentialsProviderChain(), new ClientConfiguration());
}
/**
* Constructs a new client to invoke service methods on
* AmazonMachineLearning. A credentials provider chain will be used that
* searches for credentials in this order:
* <ul>
* <li>Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_KEY</li>
* <li>Java System Properties - aws.accessKeyId and aws.secretKey</li>
* <li>Instance profile credentials delivered through the Amazon EC2
* metadata service</li>
* </ul>
* <p>
* All service calls made using this new client object are blocking, and
* will not return until the service call completes.
*
* @param clientConfiguration The client configuration options controlling
* how this client connects to AmazonMachineLearning (ex: proxy
* settings, retry counts, etc.).
* @see DefaultAWSCredentialsProviderChain
*/
@Deprecated
public AmazonMachineLearningClient(ClientConfiguration clientConfiguration) {
this(new DefaultAWSCredentialsProviderChain(), clientConfiguration);
}
/**
* Constructs a new client to invoke service methods on
* AmazonMachineLearning using the specified AWS account credentials.
* <p>
* If AWS session credentials are passed in, then those credentials will be
* used to authenticate requests. Otherwise, if AWS long-term credentials
* are passed in, then session management will be handled automatically by
* the SDK. Callers are encouraged to use long-term credentials and let the
* SDK handle starting and renewing sessions.
* <p>
* Automatically managed sessions will be shared among all clients that use
* the same credentials and service endpoint. To opt out of this behavior,
* explicitly provide an instance of {@link AWSCredentialsProvider} that
* returns {@link AWSSessionCredentials}.
* <p>
* All service calls made using this new client object are blocking, and
* will not return until the service call completes.
*
* @param awsCredentials The AWS credentials (access key ID and secret key)
* to use when authenticating with AWS services.
*/
public AmazonMachineLearningClient(AWSCredentials awsCredentials) {
this(awsCredentials, new ClientConfiguration());
}
/**
* Constructs a new client to invoke service methods on
* AmazonMachineLearning using the specified AWS account credentials and
* client configuration options.
* <p>
* If AWS session credentials are passed in, then those credentials will be
* used to authenticate requests. Otherwise, if AWS long-term credentials
* are passed in, then session management will be handled automatically by
* the SDK. Callers are encouraged to use long-term credentials and let the
* SDK handle starting and renewing sessions.
* <p>
* Automatically managed sessions will be shared among all clients that use
* the same credentials and service endpoint. To opt out of this behavior,
* explicitly provide an instance of {@link AWSCredentialsProvider} that
* returns {@link AWSSessionCredentials}.
* <p>
* All service calls made using this new client object are blocking, and
* will not return until the service call completes.
*
* @param awsCredentials The AWS credentials (access key ID and secret key)
* to use when authenticating with AWS services.
* @param clientConfiguration The client configuration options controlling
* how this client connects to AmazonMachineLearning (ex: proxy
* settings, retry counts, etc.).
*/
public AmazonMachineLearningClient(AWSCredentials awsCredentials,
ClientConfiguration clientConfiguration) {
this(new StaticCredentialsProvider(awsCredentials), clientConfiguration);
}
/**
* Constructs a new client to invoke service methods on
* AmazonMachineLearning using the specified AWS account credentials
* provider.
* <p>
* If AWS session credentials are passed in, then those credentials will be
* used to authenticate requests. Otherwise, if AWS long-term credentials
* are passed in, then session management will be handled automatically by
* the SDK. Callers are encouraged to use long-term credentials and let the
* SDK handle starting and renewing sessions.
* <p>
* Automatically managed sessions will be shared among all clients that use
* the same credentials and service endpoint. To opt out of this behavior,
* explicitly provide an instance of {@link AWSCredentialsProvider} that
* returns {@link AWSSessionCredentials}.
* <p>
* All service calls made using this new client object are blocking, and
* will not return until the service call completes.
*
* @param awsCredentialsProvider The AWS credentials provider which will
* provide credentials to authenticate requests with AWS
* services.
*/
public AmazonMachineLearningClient(AWSCredentialsProvider awsCredentialsProvider) {
this(awsCredentialsProvider, new ClientConfiguration());
}
/**
* Constructs a new client to invoke service methods on
* AmazonMachineLearning using the specified AWS account credentials
* provider and client configuration options.
* <p>
* If AWS session credentials are passed in, then those credentials will be
* used to authenticate requests. Otherwise, if AWS long-term credentials
* are passed in, then session management will be handled automatically by
* the SDK. Callers are encouraged to use long-term credentials and let the
* SDK handle starting and renewing sessions.
* <p>
* Automatically managed sessions will be shared among all clients that use
* the same credentials and service endpoint. To opt out of this behavior,
* explicitly provide an instance of {@link AWSCredentialsProvider} that
* returns {@link AWSSessionCredentials}.
* <p>
* All service calls made using this new client object are blocking, and
* will not return until the service call completes.
*
* @param awsCredentialsProvider The AWS credentials provider which will
* provide credentials to authenticate requests with AWS
* services.
* @param clientConfiguration The client configuration options controlling
* how this client connects to AmazonMachineLearning (ex: proxy
* settings, retry counts, etc.).
*/
public AmazonMachineLearningClient(AWSCredentialsProvider awsCredentialsProvider,
ClientConfiguration clientConfiguration) {
this(awsCredentialsProvider, clientConfiguration, new UrlHttpClient(clientConfiguration));
}
/**
* Constructs a new client to invoke service methods on
* AmazonMachineLearning using the specified AWS account credentials
* provider, client configuration options and request metric collector.
* <p>
* All service calls made using this new client object are blocking, and
* will not return until the service call completes.
*
* @param awsCredentialsProvider The AWS credentials provider which will
* provide credentials to authenticate requests with AWS
* services.
* @param clientConfiguration The client configuration options controlling
* how this client connects to AmazonMachineLearning (ex: proxy
* settings, retry counts, etc.).
* @param requestMetricCollector optional request metric collector
*/
@Deprecated
public AmazonMachineLearningClient(AWSCredentialsProvider awsCredentialsProvider,
ClientConfiguration clientConfiguration,
RequestMetricCollector requestMetricCollector) {
super(adjustClientConfiguration(clientConfiguration), requestMetricCollector);
this.awsCredentialsProvider = awsCredentialsProvider;
init();
}
/**
* Constructs a new client to invoke service methods on
* AmazonMachineLearning using the specified AWS account credentials
* provider, client configuration options and request metric collector.
* <p>
* All service calls made using this new client object are blocking, and
* will not return until the service call completes.
*
* @param awsCredentialsProvider The AWS credentials provider which will
* provide credentials to authenticate requests with AWS
* services.
* @param clientConfiguration The client configuration options controlling
* how this client connects to AmazonMachineLearning (ex: proxy
* settings, retry counts, etc.).
* @param httpClient A http client
*/
public AmazonMachineLearningClient(AWSCredentialsProvider awsCredentialsProvider,
ClientConfiguration clientConfiguration, HttpClient httpClient) {
super(adjustClientConfiguration(clientConfiguration), httpClient);
this.awsCredentialsProvider = awsCredentialsProvider;
init();
}
private void init() {
jsonErrorUnmarshallers = new ArrayList<JsonErrorUnmarshaller>();
jsonErrorUnmarshallers.add(new InternalServerExceptionUnmarshaller());
jsonErrorUnmarshallers.add(new InvalidInputExceptionUnmarshaller());
jsonErrorUnmarshallers.add(new LimitExceededExceptionUnmarshaller());
jsonErrorUnmarshallers.add(new PredictorNotMountedExceptionUnmarshaller());
jsonErrorUnmarshallers.add(new ResourceNotFoundExceptionUnmarshaller());
jsonErrorUnmarshallers.add(new JsonErrorUnmarshaller());
// calling this.setEndPoint(...) will also modify the signer accordingly
this.setEndpoint("machinelearning.us-east-1.amazonaws.com");
HandlerChainFactory chainFactory = new HandlerChainFactory();
requestHandler2s.addAll(chainFactory.newRequestHandlerChain(
"/com/amazonaws/services/machinelearning/request.handlers"));
requestHandler2s.addAll(chainFactory.newRequestHandler2Chain(
"/com/amazonaws/services/machinelearning/request.handler2s"));
}
private static ClientConfiguration adjustClientConfiguration(ClientConfiguration orig) {
ClientConfiguration config = orig;
return config;
}
/**
* <p>
* Returns an <code>MLModel</code> that includes detailed metadata, data
* source information, and the current status of the <code>MLModel</code>.
* </p>
* <p>
* <code>GetMLModel</code> provides results in normal or verbose format.
* </p>
*
* @param getMLModelRequest
* @return getMLModelResult The response from the GetMLModel service method,
* as returned by Amazon Machine Learning.
* @throws InvalidInputException <p>
* An error on the client occurred. Typically, the cause is an
* invalid input value.
* </p>
* @throws ResourceNotFoundException <p>
* A specified resource cannot be located.
* </p>
* @throws InternalServerException <p>
* An error on the server occurred when trying to process a
* request.
* </p>
* @throws AmazonClientException If any internal errors are encountered
* inside the client while attempting to make the request or
* handle the response. For example if a network connection is
* not available.
* @throws AmazonServiceException If an error response is returned by Amazon
* Machine Learning indicating either a problem with the data in
* the request, or a server side issue.
*/
public GetMLModelResult getMLModel(GetMLModelRequest getMLModelRequest)
throws AmazonServiceException, AmazonClientException {
ExecutionContext executionContext = createExecutionContext(getMLModelRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request<GetMLModelRequest> request = null;
Response<GetMLModelResult> response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new GetMLModelRequestMarshaller().marshall(getMLModelRequest);
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
Unmarshaller<GetMLModelResult, JsonUnmarshallerContext> unmarshaller = new GetMLModelResultJsonUnmarshaller();
JsonResponseHandler<GetMLModelResult> responseHandler = new JsonResponseHandler<GetMLModelResult>(
unmarshaller);
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response, LOGGING_AWS_REQUEST_METRIC);
}
}
/**
* <p>
* Generates a prediction for the observation using the specified
* <code>ML Model</code>.
* </p>
* <note><title>Note</title>
* <p>
* Not all response parameters will be populated. Whether a response
* parameter is populated depends on the type of model requested.
* </p>
* </note>
*
* @param predictRequest
* @return predictResult The response from the Predict service method, as
* returned by Amazon Machine Learning.
* @throws InvalidInputException <p>
* An error on the client occurred. Typically, the cause is an
* invalid input value.
* </p>
* @throws ResourceNotFoundException <p>
* A specified resource cannot be located.
* </p>
* @throws LimitExceededException <p>
* The subscriber exceeded the maximum number of operations.
* This exception can occur when listing objects such as
* <code>DataSource</code>.
* </p>
* @throws InternalServerException <p>
* An error on the server occurred when trying to process a
* request.
* </p>
* @throws PredictorNotMountedException <p>
* The exception is thrown when a predict request is made to an
* unmounted <code>MLModel</code>.
* </p>
* @throws AmazonClientException If any internal errors are encountered
* inside the client while attempting to make the request or
* handle the response. For example if a network connection is
* not available.
* @throws AmazonServiceException If an error response is returned by Amazon
* Machine Learning indicating either a problem with the data in
* the request, or a server side issue.
*/
public PredictResult predict(PredictRequest predictRequest)
throws AmazonServiceException, AmazonClientException {
ExecutionContext executionContext = createExecutionContext(predictRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request<PredictRequest> request = null;
Response<PredictResult> response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new PredictRequestMarshaller().marshall(predictRequest);
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
Unmarshaller<PredictResult, JsonUnmarshallerContext> unmarshaller = new PredictResultJsonUnmarshaller();
JsonResponseHandler<PredictResult> responseHandler = new JsonResponseHandler<PredictResult>(
unmarshaller);
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response, LOGGING_AWS_REQUEST_METRIC);
}
}
/**
* Returns additional metadata for a previously executed successful,
* request, typically used for debugging issues where a service isn't acting
* as expected. This data isn't considered part of the result data returned
* by an operation, so it's available through this separate, diagnostic
* interface.
* <p>
* Response metadata is only cached for a limited period of time, so if you
* need to access this extra diagnostic information for an executed request,
* you should use this method to retrieve it as soon as possible after
* executing the request.
*
* @param request The originally executed request
* @return The response metadata for the specified request, or null if none
* is available.
* @deprecated ResponseMetadata cache can hold up to 50 requests and
* responses in memory and will cause memory issue. This method
* now always returns null.
*/
@Deprecated
public ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request) {
return client.getResponseMetadataForRequest(request);
}
private <X, Y extends AmazonWebServiceRequest> Response<X> invoke(Request<Y> request,
HttpResponseHandler<AmazonWebServiceResponse<X>> responseHandler,
ExecutionContext executionContext) {
request.setEndpoint(endpoint);
request.setTimeOffset(timeOffset);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
AWSCredentials credentials;
awsRequestMetrics.startEvent(Field.CredentialsRequestTime);
try {
credentials = awsCredentialsProvider.getCredentials();
} finally {
awsRequestMetrics.endEvent(Field.CredentialsRequestTime);
}
AmazonWebServiceRequest originalRequest = request.getOriginalRequest();
if (originalRequest != null && originalRequest.getRequestCredentials() != null) {
credentials = originalRequest.getRequestCredentials();
}
executionContext.setCredentials(credentials);
JsonErrorResponseHandler errorResponseHandler = new JsonErrorResponseHandler(
jsonErrorUnmarshallers);
Response<X> result = client.execute(request, responseHandler,
errorResponseHandler, executionContext);
return result;
}
}