def train_flow(
self,
request: flow.TrainFlowRequest = None,
*,
name: str = None,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> operation.Operation:
r"""Trains the specified flow. Note that only the flow in
'draft' environment is trained.
Args:
request (:class:`~.flow.TrainFlowRequest`):
The request object. The request message for
[Flows.TrainFlow][google.cloud.dialogflow.cx.v3beta1.Flows.TrainFlow].
name (:class:`str`):
Required. The flow to train. Format:
``projects/<Project ID>/locations/<Location ID>/agents/<Agent ID>/flows/<Flow ID>``.
This corresponds to the ``name`` 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([name])
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 flow.TrainFlowRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, flow.TrainFlowRequest):
request = flow.TrainFlowRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if name is not None:
request.name = name
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.train_flow]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (gapic_v1.routing_header.to_grpc_metadata(
(("name", request.name), )), )
# 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_flow(
self,
request: flow.TrainFlowRequest = None,
*,
name: str = None,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> operation_async.AsyncOperation:
r"""Trains the specified flow. Note that only the flow in 'draft'
environment is trained.
Note: You should always train a flow prior to sending it
queries. See the `training
documentation <https://cloud.google.com/dialogflow/cx/docs/concept/training>`__.
Args:
request (:class:`google.cloud.dialogflowcx_v3beta1.types.TrainFlowRequest`):
The request object. The request message for
[Flows.TrainFlow][google.cloud.dialogflow.cx.v3beta1.Flows.TrainFlow].
name (:class:`str`):
Required. The flow to train. Format:
``projects/<Project ID>/locations/<Location ID>/agents/<Agent ID>/flows/<Flow ID>``.
This corresponds to the ``name`` 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.
# 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([name])
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 = flow.TrainFlowRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if name is not None:
request.name = name
# 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_flow,
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(
(("name", request.name), )), )
# 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