def train_agent(
self,
request: agent.TrainAgentRequest = None,
*,
parent: str = None,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> operation.Operation:
r"""Trains the specified agent.
Operation <response:
[google.protobuf.Empty][google.protobuf.Empty]>
Args:
request (:class:`~.agent.TrainAgentRequest`):
The request object. The request message for
[Agents.TrainAgent][google.cloud.dialogflow.v2.Agents.TrainAgent].
parent (:class:`str`):
Required. The project that the agent to train is
associated with. Format: ``projects/<Project ID>``.
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
~.operation.Operation:
An object representing a long-running operation.
The result type for the operation will be
:class:``~.empty.Empty``: A generic empty message that
you can re-use to avoid defining duplicated empty
messages in your APIs. A typical example is to use it as
the request or the response type of an API method. For
instance:
::
service Foo {
rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);
}
The JSON representation for ``Empty`` is empty JSON
object ``{}``.
"""
# Create or coerce a protobuf request object.
# Sanity check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([parent])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# Minor optimization to avoid making a copy if the user passes
# in a agent.TrainAgentRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, agent.TrainAgentRequest):
request = agent.TrainAgentRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.train_agent]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
)
# Send the request.
response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
# Wrap the response in an operation future.
response = operation.from_gapic(
response,
self._transport.operations_client,
empty.Empty,
metadata_type=struct.Struct,
)
# Done; return the response.
return response
async def train_agent(
self,
request: Union[agent.TrainAgentRequest, dict] = None,
*,
parent: str = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> operation_async.AsyncOperation:
r"""Trains the specified agent.
This method is a `long-running
operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>`__.
The returned ``Operation`` type has the following
method-specific fields:
- ``metadata``: An empty `Struct
message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>`__
- ``response``: An `Empty
message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty>`__
Note: You should always train an agent prior to sending it
queries. See the `training
documentation <https://cloud.google.com/dialogflow/es/docs/training>`__.
.. code-block:: python
from google.cloud import dialogflow_v2
async def sample_train_agent():
# Create a client
client = dialogflow_v2.AgentsAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2.TrainAgentRequest(
parent="parent_value",
)
# Make the request
operation = client.train_agent(request=request)
print("Waiting for operation to complete...")
response = await operation.result()
# Handle the response
print(response)
Args:
request (Union[google.cloud.dialogflow_v2.types.TrainAgentRequest, dict]):
The request object. The request message for
[Agents.TrainAgent][google.cloud.dialogflow.v2.Agents.TrainAgent].
parent (:class:`str`):
Required. The project that the agent to train is
associated with. Format: ``projects/<Project ID>``.
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.api_core.operation_async.AsyncOperation:
An object representing a long-running operation.
The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
empty messages in your APIs. A typical example is to
use it as the request or the response type of an API
method. For instance:
service Foo {
rpc Bar(google.protobuf.Empty) returns
(google.protobuf.Empty);
}
The JSON representation for Empty is empty JSON
object {}.
"""
# Create or coerce a protobuf request object.
# Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([parent])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
request = agent.TrainAgentRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = gapic_v1.method_async.wrap_method(
self._client._transport.train_agent,
default_timeout=None,
client_info=DEFAULT_CLIENT_INFO,
)
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
)
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Wrap the response in an operation future.
response = operation_async.from_gapic(
response,
self._client._transport.operations_client,
empty_pb2.Empty,
metadata_type=struct_pb2.Struct,
)
# Done; return the response.
return response