def update_intent(
self,
request: gcdc_intent.UpdateIntentRequest = None,
*,
intent: gcdc_intent.Intent = None,
update_mask: field_mask_pb2.FieldMask = None,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> gcdc_intent.Intent:
r"""Updates the specified intent.
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 (google.cloud.dialogflowcx_v3.types.UpdateIntentRequest):
The request object. The request message for
[Intents.UpdateIntent][google.cloud.dialogflow.cx.v3.Intents.UpdateIntent].
intent (google.cloud.dialogflowcx_v3.types.Intent):
Required. The intent to update.
This corresponds to the ``intent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
update_mask (google.protobuf.field_mask_pb2.FieldMask):
The mask to control which fields get
updated. If the mask is not present, all
fields will be updated.
This corresponds to the ``update_mask`` 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.cloud.dialogflowcx_v3.types.Intent:
An intent represents a user's intent
to interact with a conversational agent.
You can provide information for the
Dialogflow API to use to match user
input to an intent by adding training
phrases (i.e., examples of user input)
to your intent.
"""
# 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([intent, update_mask])
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 gcdc_intent.UpdateIntentRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, gcdc_intent.UpdateIntentRequest):
request = gcdc_intent.UpdateIntentRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if intent is not None:
request.intent = intent
if update_mask is not None:
request.update_mask = update_mask
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.update_intent]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata(
(("intent.name", request.intent.name),)
),
)
# Send the request.
response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
# Done; return the response.
return response
async def update_intent(
self,
request: Union[gcdc_intent.UpdateIntentRequest, dict] = None,
*,
intent: gcdc_intent.Intent = None,
update_mask: field_mask_pb2.FieldMask = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> gcdc_intent.Intent:
r"""Updates the specified intent.
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>`__.
.. code-block::
from google.cloud import dialogflowcx_v3
def sample_update_intent():
# Create a client
client = dialogflowcx_v3.IntentsClient()
# Initialize request argument(s)
intent = dialogflowcx_v3.Intent()
intent.display_name = "display_name_value"
request = dialogflowcx_v3.UpdateIntentRequest(
intent=intent,
)
# Make the request
response = client.update_intent(request=request)
# Handle the response
print(response)
Args:
request (Union[google.cloud.dialogflowcx_v3.types.UpdateIntentRequest, dict]):
The request object. The request message for
[Intents.UpdateIntent][google.cloud.dialogflow.cx.v3.Intents.UpdateIntent].
intent (:class:`google.cloud.dialogflowcx_v3.types.Intent`):
Required. The intent to update.
This corresponds to the ``intent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
The mask to control which fields get
updated. If the mask is not present, all
fields will be updated.
This corresponds to the ``update_mask`` 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.cloud.dialogflowcx_v3.types.Intent:
An intent represents a user's intent
to interact with a conversational agent.
You can provide information for the
Dialogflow API to use to match user
input to an intent by adding training
phrases (i.e., examples of user input)
to your intent.
"""
# 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([intent, update_mask])
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 = gcdc_intent.UpdateIntentRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if intent is not None:
request.intent = intent
if update_mask is not None:
request.update_mask = update_mask
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = gapic_v1.method_async.wrap_method(
self._client._transport.update_intent,
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(
(("intent.name", request.intent.name), )), )
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response