{
private AutoMlBlockingStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
super(channel, callOptions);
}
@java.lang.Override
protected AutoMlBlockingStub build(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
return new AutoMlBlockingStub(channel, callOptions);
}
/**
*
*
*
* Creates a dataset.
*
*/
public com.google.longrunning.Operation createDataset(
com.google.cloud.automl.v1.CreateDatasetRequest request) {
return io.grpc.stub.ClientCalls.blockingUnaryCall(
getChannel(), getCreateDatasetMethod(), getCallOptions(), request);
}
/**
*
*
*
* Gets a dataset.
*
*/
public com.google.cloud.automl.v1.Dataset getDataset(
com.google.cloud.automl.v1.GetDatasetRequest request) {
return io.grpc.stub.ClientCalls.blockingUnaryCall(
getChannel(), getGetDatasetMethod(), getCallOptions(), request);
}
/**
*
*
*
* Lists datasets in a project.
*
*/
public com.google.cloud.automl.v1.ListDatasetsResponse listDatasets(
com.google.cloud.automl.v1.ListDatasetsRequest request) {
return io.grpc.stub.ClientCalls.blockingUnaryCall(
getChannel(), getListDatasetsMethod(), getCallOptions(), request);
}
/**
*
*
*
* Updates a dataset.
*
*/
public com.google.cloud.automl.v1.Dataset updateDataset(
com.google.cloud.automl.v1.UpdateDatasetRequest request) {
return io.grpc.stub.ClientCalls.blockingUnaryCall(
getChannel(), getUpdateDatasetMethod(), getCallOptions(), request);
}
/**
*
*
*
* Deletes a dataset and all of its contents.
* Returns empty response in the
* [response][google.longrunning.Operation.response] field when it completes,
* and `delete_details` in the
* [metadata][google.longrunning.Operation.metadata] field.
*
*/
public com.google.longrunning.Operation deleteDataset(
com.google.cloud.automl.v1.DeleteDatasetRequest request) {
return io.grpc.stub.ClientCalls.blockingUnaryCall(
getChannel(), getDeleteDatasetMethod(), getCallOptions(), request);
}
/**
*
*
*
* Imports data into a dataset.
* For Tables this method can only be called on an empty Dataset.
* For Tables:
* * A
* [schema_inference_version][google.cloud.automl.v1.InputConfig.params]
* parameter must be explicitly set.
* Returns an empty response in the
* [response][google.longrunning.Operation.response] field when it completes.
*
*/
public com.google.longrunning.Operation importData(
com.google.cloud.automl.v1.ImportDataRequest request) {
return io.grpc.stub.ClientCalls.blockingUnaryCall(
getChannel(), getImportDataMethod(), getCallOptions(), request);
}
/**
*
*
*
* Exports dataset's data to the provided output location.
* Returns an empty response in the
* [response][google.longrunning.Operation.response] field when it completes.
*
*/
public com.google.longrunning.Operation exportData(
com.google.cloud.automl.v1.ExportDataRequest request) {
return io.grpc.stub.ClientCalls.blockingUnaryCall(
getChannel(), getExportDataMethod(), getCallOptions(), request);
}
/**
*
*
*
* Gets an annotation spec.
*
*/
public com.google.cloud.automl.v1.AnnotationSpec getAnnotationSpec(
com.google.cloud.automl.v1.GetAnnotationSpecRequest request) {
return io.grpc.stub.ClientCalls.blockingUnaryCall(
getChannel(), getGetAnnotationSpecMethod(), getCallOptions(), request);
}
/**
*
*
*
* Creates a model.
* Returns a Model in the [response][google.longrunning.Operation.response]
* field when it completes.
* When you create a model, several model evaluations are created for it:
* a global evaluation, and one evaluation for each annotation spec.
*
*/
public com.google.longrunning.Operation createModel(
com.google.cloud.automl.v1.CreateModelRequest request) {
return io.grpc.stub.ClientCalls.blockingUnaryCall(
getChannel(), getCreateModelMethod(), getCallOptions(), request);
}
/**
*
*
*
* Gets a model.
*
*/
public com.google.cloud.automl.v1.Model getModel(
com.google.cloud.automl.v1.GetModelRequest request) {
return io.grpc.stub.ClientCalls.blockingUnaryCall(
getChannel(), getGetModelMethod(), getCallOptions(), request);
}
/**
*
*
*
* Lists models.
*
*/
public com.google.cloud.automl.v1.ListModelsResponse listModels(
com.google.cloud.automl.v1.ListModelsRequest request) {
return io.grpc.stub.ClientCalls.blockingUnaryCall(
getChannel(), getListModelsMethod(), getCallOptions(), request);
}
/**
*
*
*
* Deletes a model.
* Returns `google.protobuf.Empty` in the
* [response][google.longrunning.Operation.response] field when it completes,
* and `delete_details` in the
* [metadata][google.longrunning.Operation.metadata] field.
*
*/
public com.google.longrunning.Operation deleteModel(
com.google.cloud.automl.v1.DeleteModelRequest request) {
return io.grpc.stub.ClientCalls.blockingUnaryCall(
getChannel(), getDeleteModelMethod(), getCallOptions(), request);
}
/**
*
*
*
* Updates a model.
*
*/
public com.google.cloud.automl.v1.Model updateModel(
com.google.cloud.automl.v1.UpdateModelRequest request) {
return io.grpc.stub.ClientCalls.blockingUnaryCall(
getChannel(), getUpdateModelMethod(), getCallOptions(), request);
}
/**
*
*
*
* Deploys a model. If a model is already deployed, deploying it with the
* same parameters has no effect. Deploying with different parametrs
* (as e.g. changing
* [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number])
* will reset the deployment state without pausing the model's availability.
* Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage
* deployment automatically.
* Returns an empty response in the
* [response][google.longrunning.Operation.response] field when it completes.
*
*/
public com.google.longrunning.Operation deployModel(
com.google.cloud.automl.v1.DeployModelRequest request) {
return io.grpc.stub.ClientCalls.blockingUnaryCall(
getChannel(), getDeployModelMethod(), getCallOptions(), request);
}
/**
*
*
*
* Undeploys a model. If the model is not deployed this method has no effect.
* Only applicable for Text Classification, Image Object Detection and Tables;
* all other domains manage deployment automatically.
* Returns an empty response in the
* [response][google.longrunning.Operation.response] field when it completes.
*
*/
public com.google.longrunning.Operation undeployModel(
com.google.cloud.automl.v1.UndeployModelRequest request) {
return io.grpc.stub.ClientCalls.blockingUnaryCall(
getChannel(), getUndeployModelMethod(), getCallOptions(), request);
}
/**
*
*
*
* Exports a trained, "export-able", model to a user specified Google Cloud
* Storage location. A model is considered export-able if and only if it has
* an export format defined for it in
* [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].
* Returns an empty response in the
* [response][google.longrunning.Operation.response] field when it completes.
*
*/
public com.google.longrunning.Operation exportModel(
com.google.cloud.automl.v1.ExportModelRequest request) {
return io.grpc.stub.ClientCalls.blockingUnaryCall(
getChannel(), getExportModelMethod(), getCallOptions(), request);
}
/**
*
*
*
* Gets a model evaluation.
*
*/
public com.google.cloud.automl.v1.ModelEvaluation getModelEvaluation(
com.google.cloud.automl.v1.GetModelEvaluationRequest request) {
return io.grpc.stub.ClientCalls.blockingUnaryCall(
getChannel(), getGetModelEvaluationMethod(), getCallOptions(), request);
}
/**
*
*
*
* Lists model evaluations.
*
*/
public com.google.cloud.automl.v1.ListModelEvaluationsResponse listModelEvaluations(
com.google.cloud.automl.v1.ListModelEvaluationsRequest request) {
return io.grpc.stub.ClientCalls.blockingUnaryCall(
getChannel(), getListModelEvaluationsMethod(), getCallOptions(), request);
}
}
/**
* A stub to allow clients to do ListenableFuture-style rpc calls to service AutoMl.
*
*
* AutoML Server API.
* The resource names are assigned by the server.
* The server never reuses names that it has created after the resources with
* those names are deleted.
* An ID of a resource is the last element of the item's resource name. For
* `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then
* the id for the item is `{dataset_id}`.
* Currently the only supported `location_id` is "us-central1".
* On any input that is documented to expect a string parameter in
* snake_case or dash-case, either of those cases is accepted.
*
*/
public static final class AutoMlFutureStub
extends io.grpc.stub.AbstractFutureStub {
private AutoMlFutureStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
super(channel, callOptions);
}
@java.lang.Override
protected AutoMlFutureStub build(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
return new AutoMlFutureStub(channel, callOptions);
}
/**
*
*
*
* Creates a dataset.
*
*/
public com.google.common.util.concurrent.ListenableFuture
createDataset(com.google.cloud.automl.v1.CreateDatasetRequest request) {
return io.grpc.stub.ClientCalls.futureUnaryCall(
getChannel().newCall(getCreateDatasetMethod(), getCallOptions()), request);
}
/**
*
*
*
* Gets a dataset.
*
*/
public com.google.common.util.concurrent.ListenableFuture
getDataset(com.google.cloud.automl.v1.GetDatasetRequest request) {
return io.grpc.stub.ClientCalls.futureUnaryCall(
getChannel().newCall(getGetDatasetMethod(), getCallOptions()), request);
}
/**
*
*
*
* Lists datasets in a project.
*
*/
public com.google.common.util.concurrent.ListenableFuture<
com.google.cloud.automl.v1.ListDatasetsResponse>
listDatasets(com.google.cloud.automl.v1.ListDatasetsRequest request) {
return io.grpc.stub.ClientCalls.futureUnaryCall(
getChannel().newCall(getListDatasetsMethod(), getCallOptions()), request);
}
/**
*
*
*
* Updates a dataset.
*
*/
public com.google.common.util.concurrent.ListenableFuture
updateDataset(com.google.cloud.automl.v1.UpdateDatasetRequest request) {
return io.grpc.stub.ClientCalls.futureUnaryCall(
getChannel().newCall(getUpdateDatasetMethod(), getCallOptions()), request);
}
/**
*
*
*
* Deletes a dataset and all of its contents.
* Returns empty response in the
* [response][google.longrunning.Operation.response] field when it completes,
* and `delete_details` in the
* [metadata][google.longrunning.Operation.metadata] field.
*
*/
public com.google.common.util.concurrent.ListenableFuture
deleteDataset(com.google.cloud.automl.v1.DeleteDatasetRequest request) {
return io.grpc.stub.ClientCalls.futureUnaryCall(
getChannel().newCall(getDeleteDatasetMethod(), getCallOptions()), request);
}
/**
*
*
*
* Imports data into a dataset.
* For Tables this method can only be called on an empty Dataset.
* For Tables:
* * A
* [schema_inference_version][google.cloud.automl.v1.InputConfig.params]
* parameter must be explicitly set.
* Returns an empty response in the
* [response][google.longrunning.Operation.response] field when it completes.
*
*/
public com.google.common.util.concurrent.ListenableFuture
importData(com.google.cloud.automl.v1.ImportDataRequest request) {
return io.grpc.stub.ClientCalls.futureUnaryCall(
getChannel().newCall(getImportDataMethod(), getCallOptions()), request);
}
/**
*
*
*
* Exports dataset's data to the provided output location.
* Returns an empty response in the
* [response][google.longrunning.Operation.response] field when it completes.
*
*/
public com.google.common.util.concurrent.ListenableFuture
exportData(com.google.cloud.automl.v1.ExportDataRequest request) {
return io.grpc.stub.ClientCalls.futureUnaryCall(
getChannel().newCall(getExportDataMethod(), getCallOptions()), request);
}
/**
*
*
*
* Gets an annotation spec.
*
*/
public com.google.common.util.concurrent.ListenableFuture<
com.google.cloud.automl.v1.AnnotationSpec>
getAnnotationSpec(com.google.cloud.automl.v1.GetAnnotationSpecRequest request) {
return io.grpc.stub.ClientCalls.futureUnaryCall(
getChannel().newCall(getGetAnnotationSpecMethod(), getCallOptions()), request);
}
/**
*
*
*
* Creates a model.
* Returns a Model in the [response][google.longrunning.Operation.response]
* field when it completes.
* When you create a model, several model evaluations are created for it:
* a global evaluation, and one evaluation for each annotation spec.
*
*/
public com.google.common.util.concurrent.ListenableFuture
createModel(com.google.cloud.automl.v1.CreateModelRequest request) {
return io.grpc.stub.ClientCalls.futureUnaryCall(
getChannel().newCall(getCreateModelMethod(), getCallOptions()), request);
}
/**
*
*
*
* Gets a model.
*
*/
public com.google.common.util.concurrent.ListenableFuture
getModel(com.google.cloud.automl.v1.GetModelRequest request) {
return io.grpc.stub.ClientCalls.futureUnaryCall(
getChannel().newCall(getGetModelMethod(), getCallOptions()), request);
}
/**
*
*
*
* Lists models.
*
*/
public com.google.common.util.concurrent.ListenableFuture<
com.google.cloud.automl.v1.ListModelsResponse>
listModels(com.google.cloud.automl.v1.ListModelsRequest request) {
return io.grpc.stub.ClientCalls.futureUnaryCall(
getChannel().newCall(getListModelsMethod(), getCallOptions()), request);
}
/**
*
*
*
* Deletes a model.
* Returns `google.protobuf.Empty` in the
* [response][google.longrunning.Operation.response] field when it completes,
* and `delete_details` in the
* [metadata][google.longrunning.Operation.metadata] field.
*
*/
public com.google.common.util.concurrent.ListenableFuture
deleteModel(com.google.cloud.automl.v1.DeleteModelRequest request) {
return io.grpc.stub.ClientCalls.futureUnaryCall(
getChannel().newCall(getDeleteModelMethod(), getCallOptions()), request);
}
/**
*
*
*
* Updates a model.
*
*/
public com.google.common.util.concurrent.ListenableFuture
updateModel(com.google.cloud.automl.v1.UpdateModelRequest request) {
return io.grpc.stub.ClientCalls.futureUnaryCall(
getChannel().newCall(getUpdateModelMethod(), getCallOptions()), request);
}
/**
*
*
*
* Deploys a model. If a model is already deployed, deploying it with the
* same parameters has no effect. Deploying with different parametrs
* (as e.g. changing
* [node_number][google.cloud.automl.v1p1beta.ImageObjectDetectionModelDeploymentMetadata.node_number])
* will reset the deployment state without pausing the model's availability.
* Only applicable for Text Classification, Image Object Detection , Tables, and Image Segmentation; all other domains manage
* deployment automatically.
* Returns an empty response in the
* [response][google.longrunning.Operation.response] field when it completes.
*
*/
public com.google.common.util.concurrent.ListenableFuture
deployModel(com.google.cloud.automl.v1.DeployModelRequest request) {
return io.grpc.stub.ClientCalls.futureUnaryCall(
getChannel().newCall(getDeployModelMethod(), getCallOptions()), request);
}
/**
*
*
*
* Undeploys a model. If the model is not deployed this method has no effect.
* Only applicable for Text Classification, Image Object Detection and Tables;
* all other domains manage deployment automatically.
* Returns an empty response in the
* [response][google.longrunning.Operation.response] field when it completes.
*
*/
public com.google.common.util.concurrent.ListenableFuture
undeployModel(com.google.cloud.automl.v1.UndeployModelRequest request) {
return io.grpc.stub.ClientCalls.futureUnaryCall(
getChannel().newCall(getUndeployModelMethod(), getCallOptions()), request);
}
/**
*
*
*
* Exports a trained, "export-able", model to a user specified Google Cloud
* Storage location. A model is considered export-able if and only if it has
* an export format defined for it in
* [ModelExportOutputConfig][google.cloud.automl.v1.ModelExportOutputConfig].
* Returns an empty response in the
* [response][google.longrunning.Operation.response] field when it completes.
*
*/
public com.google.common.util.concurrent.ListenableFuture
exportModel(com.google.cloud.automl.v1.ExportModelRequest request) {
return io.grpc.stub.ClientCalls.futureUnaryCall(
getChannel().newCall(getExportModelMethod(), getCallOptions()), request);
}
/**
*
*
*
* Gets a model evaluation.
*
*/
public com.google.common.util.concurrent.ListenableFuture<
com.google.cloud.automl.v1.ModelEvaluation>
getModelEvaluation(com.google.cloud.automl.v1.GetModelEvaluationRequest request) {
return io.grpc.stub.ClientCalls.futureUnaryCall(
getChannel().newCall(getGetModelEvaluationMethod(), getCallOptions()), request);
}
/**
*
*
*
* Lists model evaluations.
*
*/
public com.google.common.util.concurrent.ListenableFuture<
com.google.cloud.automl.v1.ListModelEvaluationsResponse>
listModelEvaluations(com.google.cloud.automl.v1.ListModelEvaluationsRequest request) {
return io.grpc.stub.ClientCalls.futureUnaryCall(
getChannel().newCall(getListModelEvaluationsMethod(), getCallOptions()), request);
}
}
private static final int METHODID_CREATE_DATASET = 0;
private static final int METHODID_GET_DATASET = 1;
private static final int METHODID_LIST_DATASETS = 2;
private static final int METHODID_UPDATE_DATASET = 3;
private static final int METHODID_DELETE_DATASET = 4;
private static final int METHODID_IMPORT_DATA = 5;
private static final int METHODID_EXPORT_DATA = 6;
private static final int METHODID_GET_ANNOTATION_SPEC = 7;
private static final int METHODID_CREATE_MODEL = 8;
private static final int METHODID_GET_MODEL = 9;
private static final int METHODID_LIST_MODELS = 10;
private static final int METHODID_DELETE_MODEL = 11;
private static final int METHODID_UPDATE_MODEL = 12;
private static final int METHODID_DEPLOY_MODEL = 13;
private static final int METHODID_UNDEPLOY_MODEL = 14;
private static final int METHODID_EXPORT_MODEL = 15;
private static final int METHODID_GET_MODEL_EVALUATION = 16;
private static final int METHODID_LIST_MODEL_EVALUATIONS = 17;
private static final class MethodHandlers
implements io.grpc.stub.ServerCalls.UnaryMethod,
io.grpc.stub.ServerCalls.ServerStreamingMethod,
io.grpc.stub.ServerCalls.ClientStreamingMethod,
io.grpc.stub.ServerCalls.BidiStreamingMethod {
private final AsyncService serviceImpl;
private final int methodId;
MethodHandlers(AsyncService serviceImpl, int methodId) {
this.serviceImpl = serviceImpl;
this.methodId = methodId;
}
@java.lang.Override
@java.lang.SuppressWarnings("unchecked")
public void invoke(Req request, io.grpc.stub.StreamObserver responseObserver) {
switch (methodId) {
case METHODID_CREATE_DATASET:
serviceImpl.createDataset(
(com.google.cloud.automl.v1.CreateDatasetRequest) request,
(io.grpc.stub.StreamObserver) responseObserver);
break;
case METHODID_GET_DATASET:
serviceImpl.getDataset(
(com.google.cloud.automl.v1.GetDatasetRequest) request,
(io.grpc.stub.StreamObserver) responseObserver);
break;
case METHODID_LIST_DATASETS:
serviceImpl.listDatasets(
(com.google.cloud.automl.v1.ListDatasetsRequest) request,
(io.grpc.stub.StreamObserver)
responseObserver);
break;
case METHODID_UPDATE_DATASET:
serviceImpl.updateDataset(
(com.google.cloud.automl.v1.UpdateDatasetRequest) request,
(io.grpc.stub.StreamObserver) responseObserver);
break;
case METHODID_DELETE_DATASET:
serviceImpl.deleteDataset(
(com.google.cloud.automl.v1.DeleteDatasetRequest) request,
(io.grpc.stub.StreamObserver) responseObserver);
break;
case METHODID_IMPORT_DATA:
serviceImpl.importData(
(com.google.cloud.automl.v1.ImportDataRequest) request,
(io.grpc.stub.StreamObserver) responseObserver);
break;
case METHODID_EXPORT_DATA:
serviceImpl.exportData(
(com.google.cloud.automl.v1.ExportDataRequest) request,
(io.grpc.stub.StreamObserver) responseObserver);
break;
case METHODID_GET_ANNOTATION_SPEC:
serviceImpl.getAnnotationSpec(
(com.google.cloud.automl.v1.GetAnnotationSpecRequest) request,
(io.grpc.stub.StreamObserver)
responseObserver);
break;
case METHODID_CREATE_MODEL:
serviceImpl.createModel(
(com.google.cloud.automl.v1.CreateModelRequest) request,
(io.grpc.stub.StreamObserver) responseObserver);
break;
case METHODID_GET_MODEL:
serviceImpl.getModel(
(com.google.cloud.automl.v1.GetModelRequest) request,
(io.grpc.stub.StreamObserver) responseObserver);
break;
case METHODID_LIST_MODELS:
serviceImpl.listModels(
(com.google.cloud.automl.v1.ListModelsRequest) request,
(io.grpc.stub.StreamObserver)
responseObserver);
break;
case METHODID_DELETE_MODEL:
serviceImpl.deleteModel(
(com.google.cloud.automl.v1.DeleteModelRequest) request,
(io.grpc.stub.StreamObserver) responseObserver);
break;
case METHODID_UPDATE_MODEL:
serviceImpl.updateModel(
(com.google.cloud.automl.v1.UpdateModelRequest) request,
(io.grpc.stub.StreamObserver) responseObserver);
break;
case METHODID_DEPLOY_MODEL:
serviceImpl.deployModel(
(com.google.cloud.automl.v1.DeployModelRequest) request,
(io.grpc.stub.StreamObserver) responseObserver);
break;
case METHODID_UNDEPLOY_MODEL:
serviceImpl.undeployModel(
(com.google.cloud.automl.v1.UndeployModelRequest) request,
(io.grpc.stub.StreamObserver) responseObserver);
break;
case METHODID_EXPORT_MODEL:
serviceImpl.exportModel(
(com.google.cloud.automl.v1.ExportModelRequest) request,
(io.grpc.stub.StreamObserver) responseObserver);
break;
case METHODID_GET_MODEL_EVALUATION:
serviceImpl.getModelEvaluation(
(com.google.cloud.automl.v1.GetModelEvaluationRequest) request,
(io.grpc.stub.StreamObserver)
responseObserver);
break;
case METHODID_LIST_MODEL_EVALUATIONS:
serviceImpl.listModelEvaluations(
(com.google.cloud.automl.v1.ListModelEvaluationsRequest) request,
(io.grpc.stub.StreamObserver)
responseObserver);
break;
default:
throw new AssertionError();
}
}
@java.lang.Override
@java.lang.SuppressWarnings("unchecked")
public io.grpc.stub.StreamObserver invoke(
io.grpc.stub.StreamObserver responseObserver) {
switch (methodId) {
default:
throw new AssertionError();
}
}
}
public static final io.grpc.ServerServiceDefinition bindService(AsyncService service) {
return io.grpc.ServerServiceDefinition.builder(getServiceDescriptor())
.addMethod(
getCreateDatasetMethod(),
io.grpc.stub.ServerCalls.asyncUnaryCall(
new MethodHandlers<
com.google.cloud.automl.v1.CreateDatasetRequest,
com.google.longrunning.Operation>(service, METHODID_CREATE_DATASET)))
.addMethod(
getGetDatasetMethod(),
io.grpc.stub.ServerCalls.asyncUnaryCall(
new MethodHandlers<
com.google.cloud.automl.v1.GetDatasetRequest,
com.google.cloud.automl.v1.Dataset>(service, METHODID_GET_DATASET)))
.addMethod(
getListDatasetsMethod(),
io.grpc.stub.ServerCalls.asyncUnaryCall(
new MethodHandlers<
com.google.cloud.automl.v1.ListDatasetsRequest,
com.google.cloud.automl.v1.ListDatasetsResponse>(
service, METHODID_LIST_DATASETS)))
.addMethod(
getUpdateDatasetMethod(),
io.grpc.stub.ServerCalls.asyncUnaryCall(
new MethodHandlers<
com.google.cloud.automl.v1.UpdateDatasetRequest,
com.google.cloud.automl.v1.Dataset>(service, METHODID_UPDATE_DATASET)))
.addMethod(
getDeleteDatasetMethod(),
io.grpc.stub.ServerCalls.asyncUnaryCall(
new MethodHandlers<
com.google.cloud.automl.v1.DeleteDatasetRequest,
com.google.longrunning.Operation>(service, METHODID_DELETE_DATASET)))
.addMethod(
getImportDataMethod(),
io.grpc.stub.ServerCalls.asyncUnaryCall(
new MethodHandlers<
com.google.cloud.automl.v1.ImportDataRequest, com.google.longrunning.Operation>(
service, METHODID_IMPORT_DATA)))
.addMethod(
getExportDataMethod(),
io.grpc.stub.ServerCalls.asyncUnaryCall(
new MethodHandlers<
com.google.cloud.automl.v1.ExportDataRequest, com.google.longrunning.Operation>(
service, METHODID_EXPORT_DATA)))
.addMethod(
getGetAnnotationSpecMethod(),
io.grpc.stub.ServerCalls.asyncUnaryCall(
new MethodHandlers<
com.google.cloud.automl.v1.GetAnnotationSpecRequest,
com.google.cloud.automl.v1.AnnotationSpec>(
service, METHODID_GET_ANNOTATION_SPEC)))
.addMethod(
getCreateModelMethod(),
io.grpc.stub.ServerCalls.asyncUnaryCall(
new MethodHandlers<
com.google.cloud.automl.v1.CreateModelRequest,
com.google.longrunning.Operation>(service, METHODID_CREATE_MODEL)))
.addMethod(
getGetModelMethod(),
io.grpc.stub.ServerCalls.asyncUnaryCall(
new MethodHandlers<
com.google.cloud.automl.v1.GetModelRequest, com.google.cloud.automl.v1.Model>(
service, METHODID_GET_MODEL)))
.addMethod(
getListModelsMethod(),
io.grpc.stub.ServerCalls.asyncUnaryCall(
new MethodHandlers<
com.google.cloud.automl.v1.ListModelsRequest,
com.google.cloud.automl.v1.ListModelsResponse>(service, METHODID_LIST_MODELS)))
.addMethod(
getDeleteModelMethod(),
io.grpc.stub.ServerCalls.asyncUnaryCall(
new MethodHandlers<
com.google.cloud.automl.v1.DeleteModelRequest,
com.google.longrunning.Operation>(service, METHODID_DELETE_MODEL)))
.addMethod(
getUpdateModelMethod(),
io.grpc.stub.ServerCalls.asyncUnaryCall(
new MethodHandlers<
com.google.cloud.automl.v1.UpdateModelRequest,
com.google.cloud.automl.v1.Model>(service, METHODID_UPDATE_MODEL)))
.addMethod(
getDeployModelMethod(),
io.grpc.stub.ServerCalls.asyncUnaryCall(
new MethodHandlers<
com.google.cloud.automl.v1.DeployModelRequest,
com.google.longrunning.Operation>(service, METHODID_DEPLOY_MODEL)))
.addMethod(
getUndeployModelMethod(),
io.grpc.stub.ServerCalls.asyncUnaryCall(
new MethodHandlers<
com.google.cloud.automl.v1.UndeployModelRequest,
com.google.longrunning.Operation>(service, METHODID_UNDEPLOY_MODEL)))
.addMethod(
getExportModelMethod(),
io.grpc.stub.ServerCalls.asyncUnaryCall(
new MethodHandlers<
com.google.cloud.automl.v1.ExportModelRequest,
com.google.longrunning.Operation>(service, METHODID_EXPORT_MODEL)))
.addMethod(
getGetModelEvaluationMethod(),
io.grpc.stub.ServerCalls.asyncUnaryCall(
new MethodHandlers<
com.google.cloud.automl.v1.GetModelEvaluationRequest,
com.google.cloud.automl.v1.ModelEvaluation>(
service, METHODID_GET_MODEL_EVALUATION)))
.addMethod(
getListModelEvaluationsMethod(),
io.grpc.stub.ServerCalls.asyncUnaryCall(
new MethodHandlers<
com.google.cloud.automl.v1.ListModelEvaluationsRequest,
com.google.cloud.automl.v1.ListModelEvaluationsResponse>(
service, METHODID_LIST_MODEL_EVALUATIONS)))
.build();
}
private abstract static class AutoMlBaseDescriptorSupplier
implements io.grpc.protobuf.ProtoFileDescriptorSupplier,
io.grpc.protobuf.ProtoServiceDescriptorSupplier {
AutoMlBaseDescriptorSupplier() {}
@java.lang.Override
public com.google.protobuf.Descriptors.FileDescriptor getFileDescriptor() {
return com.google.cloud.automl.v1.AutoMlProto.getDescriptor();
}
@java.lang.Override
public com.google.protobuf.Descriptors.ServiceDescriptor getServiceDescriptor() {
return getFileDescriptor().findServiceByName("AutoMl");
}
}
private static final class AutoMlFileDescriptorSupplier extends AutoMlBaseDescriptorSupplier {
AutoMlFileDescriptorSupplier() {}
}
private static final class AutoMlMethodDescriptorSupplier extends AutoMlBaseDescriptorSupplier
implements io.grpc.protobuf.ProtoMethodDescriptorSupplier {
private final String methodName;
AutoMlMethodDescriptorSupplier(String methodName) {
this.methodName = methodName;
}
@java.lang.Override
public com.google.protobuf.Descriptors.MethodDescriptor getMethodDescriptor() {
return getServiceDescriptor().findMethodByName(methodName);
}
}
private static volatile io.grpc.ServiceDescriptor serviceDescriptor;
public static io.grpc.ServiceDescriptor getServiceDescriptor() {
io.grpc.ServiceDescriptor result = serviceDescriptor;
if (result == null) {
synchronized (AutoMlGrpc.class) {
result = serviceDescriptor;
if (result == null) {
serviceDescriptor =
result =
io.grpc.ServiceDescriptor.newBuilder(SERVICE_NAME)
.setSchemaDescriptor(new AutoMlFileDescriptorSupplier())
.addMethod(getCreateDatasetMethod())
.addMethod(getGetDatasetMethod())
.addMethod(getListDatasetsMethod())
.addMethod(getUpdateDatasetMethod())
.addMethod(getDeleteDatasetMethod())
.addMethod(getImportDataMethod())
.addMethod(getExportDataMethod())
.addMethod(getGetAnnotationSpecMethod())
.addMethod(getCreateModelMethod())
.addMethod(getGetModelMethod())
.addMethod(getListModelsMethod())
.addMethod(getDeleteModelMethod())
.addMethod(getUpdateModelMethod())
.addMethod(getDeployModelMethod())
.addMethod(getUndeployModelMethod())
.addMethod(getExportModelMethod())
.addMethod(getGetModelEvaluationMethod())
.addMethod(getListModelEvaluationsMethod())
.build();
}
}
}
return result;
}
}