public static final class ConversationDatasetsGrpc.ConversationDatasetsBlockingStub extends AbstractBlockingStub<ConversationDatasetsGrpc.ConversationDatasetsBlockingStub>
A stub to allow clients to do synchronous rpc calls to service ConversationDatasets.
Conversation datasets.
Conversation datasets contain raw conversation files and their
customizable metadata that can be used for model training.
Inheritance
java.lang.Object >
io.grpc.stub.AbstractStub >
io.grpc.stub.AbstractBlockingStub >
ConversationDatasetsGrpc.ConversationDatasetsBlockingStub
Inherited Members
io.grpc.stub.AbstractBlockingStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel)
io.grpc.stub.AbstractBlockingStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel,io.grpc.CallOptions)
io.grpc.stub.AbstractStub.<T>withOption(io.grpc.CallOptions.Key<T>,T)
io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)
io.grpc.stub.AbstractStub.getCallOptions()
io.grpc.stub.AbstractStub.getChannel()
io.grpc.stub.AbstractStub.withCallCredentials(io.grpc.CallCredentials)
io.grpc.stub.AbstractStub.withChannel(io.grpc.Channel)
io.grpc.stub.AbstractStub.withCompression(java.lang.String)
io.grpc.stub.AbstractStub.withDeadline(io.grpc.Deadline)
io.grpc.stub.AbstractStub.withDeadlineAfter(long,java.util.concurrent.TimeUnit)
io.grpc.stub.AbstractStub.withExecutor(java.util.concurrent.Executor)
io.grpc.stub.AbstractStub.withInterceptors(io.grpc.ClientInterceptor...)
io.grpc.stub.AbstractStub.withMaxInboundMessageSize(int)
io.grpc.stub.AbstractStub.withMaxOutboundMessageSize(int)
io.grpc.stub.AbstractStub.withWaitForReady()
Methods
build(Channel channel, CallOptions callOptions)
protected ConversationDatasetsGrpc.ConversationDatasetsBlockingStub build(Channel channel, CallOptions callOptions)
| Parameters |
| Name |
Description |
channel |
io.grpc.Channel
|
callOptions |
io.grpc.CallOptions
|
Overrides
io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)
createConversationDataset(CreateConversationDatasetRequest request)
public Operation createConversationDataset(CreateConversationDatasetRequest request)
Creates a new conversation dataset.
This method is a long-running
operation.
The returned Operation type has the following method-specific fields:
metadata:
CreateConversationDatasetOperationMetadataresponse:
ConversationDataset
deleteConversationDataset(DeleteConversationDatasetRequest request)
public Operation deleteConversationDataset(DeleteConversationDatasetRequest request)
Deletes the specified conversation dataset.
This method is a long-running
operation.
The returned Operation type has the following method-specific fields:
metadata:
DeleteConversationDatasetOperationMetadataresponse: An Empty
message
getConversationDataset(GetConversationDatasetRequest request)
public ConversationDataset getConversationDataset(GetConversationDatasetRequest request)
Retrieves the specified conversation dataset.
importConversationData(ImportConversationDataRequest request)
public Operation importConversationData(ImportConversationDataRequest request)
Import data into the specified conversation dataset. Note that it
is not allowed to import data to a conversation dataset that
already has data in it.
This method is a long-running
operation.
The returned Operation type has the following method-specific fields:
metadata:
ImportConversationDataOperationMetadataresponse:
ImportConversationDataOperationResponse
listConversationDatasets(ListConversationDatasetsRequest request)
public ListConversationDatasetsResponse listConversationDatasets(ListConversationDatasetsRequest request)
Returns the list of all conversation datasets in the specified
project and location.
