GrpcPredictionServiceStub.java
/*
* Copyright 2022 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License 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.google.cloud.automl.v1.stub;
import com.google.api.gax.core.BackgroundResource;
import com.google.api.gax.core.BackgroundResourceAggregation;
import com.google.api.gax.grpc.GrpcCallSettings;
import com.google.api.gax.grpc.GrpcStubCallableFactory;
import com.google.api.gax.rpc.ClientContext;
import com.google.api.gax.rpc.OperationCallable;
import com.google.api.gax.rpc.UnaryCallable;
import com.google.cloud.automl.v1.BatchPredictRequest;
import com.google.cloud.automl.v1.BatchPredictResult;
import com.google.cloud.automl.v1.OperationMetadata;
import com.google.cloud.automl.v1.PredictRequest;
import com.google.cloud.automl.v1.PredictResponse;
import com.google.common.collect.ImmutableMap;
import com.google.longrunning.Operation;
import com.google.longrunning.stub.GrpcOperationsStub;
import io.grpc.MethodDescriptor;
import io.grpc.protobuf.ProtoUtils;
import java.io.IOException;
import java.util.concurrent.TimeUnit;
import javax.annotation.Generated;
// AUTO-GENERATED DOCUMENTATION AND CLASS.
/**
* gRPC stub implementation for the PredictionService service API.
*
* <p>This class is for advanced usage and reflects the underlying API directly.
*/
@Generated("by gapic-generator-java")
public class GrpcPredictionServiceStub extends PredictionServiceStub {
private static final MethodDescriptor<PredictRequest, PredictResponse> predictMethodDescriptor =
MethodDescriptor.<PredictRequest, PredictResponse>newBuilder()
.setType(MethodDescriptor.MethodType.UNARY)
.setFullMethodName("google.cloud.automl.v1.PredictionService/Predict")
.setRequestMarshaller(ProtoUtils.marshaller(PredictRequest.getDefaultInstance()))
.setResponseMarshaller(ProtoUtils.marshaller(PredictResponse.getDefaultInstance()))
.build();
private static final MethodDescriptor<BatchPredictRequest, Operation>
batchPredictMethodDescriptor =
MethodDescriptor.<BatchPredictRequest, Operation>newBuilder()
.setType(MethodDescriptor.MethodType.UNARY)
.setFullMethodName("google.cloud.automl.v1.PredictionService/BatchPredict")
.setRequestMarshaller(ProtoUtils.marshaller(BatchPredictRequest.getDefaultInstance()))
.setResponseMarshaller(ProtoUtils.marshaller(Operation.getDefaultInstance()))
.build();
private final UnaryCallable<PredictRequest, PredictResponse> predictCallable;
private final UnaryCallable<BatchPredictRequest, Operation> batchPredictCallable;
private final OperationCallable<BatchPredictRequest, BatchPredictResult, OperationMetadata>
batchPredictOperationCallable;
private final BackgroundResource backgroundResources;
private final GrpcOperationsStub operationsStub;
private final GrpcStubCallableFactory callableFactory;
public static final GrpcPredictionServiceStub create(PredictionServiceStubSettings settings)
throws IOException {
return new GrpcPredictionServiceStub(settings, ClientContext.create(settings));
}
public static final GrpcPredictionServiceStub create(ClientContext clientContext)
throws IOException {
return new GrpcPredictionServiceStub(
PredictionServiceStubSettings.newBuilder().build(), clientContext);
}
public static final GrpcPredictionServiceStub create(
ClientContext clientContext, GrpcStubCallableFactory callableFactory) throws IOException {
return new GrpcPredictionServiceStub(
PredictionServiceStubSettings.newBuilder().build(), clientContext, callableFactory);
}
/**
* Constructs an instance of GrpcPredictionServiceStub, using the given settings. This is
* protected so that it is easy to make a subclass, but otherwise, the static factory methods
* should be preferred.
*/
protected GrpcPredictionServiceStub(
PredictionServiceStubSettings settings, ClientContext clientContext) throws IOException {
this(settings, clientContext, new GrpcPredictionServiceCallableFactory());
}
/**
* Constructs an instance of GrpcPredictionServiceStub, using the given settings. This is
* protected so that it is easy to make a subclass, but otherwise, the static factory methods
* should be preferred.
*/
protected GrpcPredictionServiceStub(
PredictionServiceStubSettings settings,
ClientContext clientContext,
GrpcStubCallableFactory callableFactory)
throws IOException {
this.callableFactory = callableFactory;
this.operationsStub = GrpcOperationsStub.create(clientContext, callableFactory);
GrpcCallSettings<PredictRequest, PredictResponse> predictTransportSettings =
GrpcCallSettings.<PredictRequest, PredictResponse>newBuilder()
.setMethodDescriptor(predictMethodDescriptor)
.setParamsExtractor(
request -> {
ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
params.put("name", String.valueOf(request.getName()));
return params.build();
})
.build();
GrpcCallSettings<BatchPredictRequest, Operation> batchPredictTransportSettings =
GrpcCallSettings.<BatchPredictRequest, Operation>newBuilder()
.setMethodDescriptor(batchPredictMethodDescriptor)
.setParamsExtractor(
request -> {
ImmutableMap.Builder<String, String> params = ImmutableMap.builder();
params.put("name", String.valueOf(request.getName()));
return params.build();
})
.build();
this.predictCallable =
callableFactory.createUnaryCallable(
predictTransportSettings, settings.predictSettings(), clientContext);
this.batchPredictCallable =
callableFactory.createUnaryCallable(
batchPredictTransportSettings, settings.batchPredictSettings(), clientContext);
this.batchPredictOperationCallable =
callableFactory.createOperationCallable(
batchPredictTransportSettings,
settings.batchPredictOperationSettings(),
clientContext,
operationsStub);
this.backgroundResources =
new BackgroundResourceAggregation(clientContext.getBackgroundResources());
}
public GrpcOperationsStub getOperationsStub() {
return operationsStub;
}
@Override
public UnaryCallable<PredictRequest, PredictResponse> predictCallable() {
return predictCallable;
}
@Override
public UnaryCallable<BatchPredictRequest, Operation> batchPredictCallable() {
return batchPredictCallable;
}
@Override
public OperationCallable<BatchPredictRequest, BatchPredictResult, OperationMetadata>
batchPredictOperationCallable() {
return batchPredictOperationCallable;
}
@Override
public final void close() {
try {
backgroundResources.close();
} catch (RuntimeException e) {
throw e;
} catch (Exception e) {
throw new IllegalStateException("Failed to close resource", e);
}
}
@Override
public void shutdown() {
backgroundResources.shutdown();
}
@Override
public boolean isShutdown() {
return backgroundResources.isShutdown();
}
@Override
public boolean isTerminated() {
return backgroundResources.isTerminated();
}
@Override
public void shutdownNow() {
backgroundResources.shutdownNow();
}
@Override
public boolean awaitTermination(long duration, TimeUnit unit) throws InterruptedException {
return backgroundResources.awaitTermination(duration, unit);
}
}