async def update_page(
self,
request: gcdc_page.UpdatePageRequest = None,
*,
page: gcdc_page.Page = None,
update_mask: field_mask.FieldMask = None,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> gcdc_page.Page:
r"""Updates the specified page.
Args:
request (:class:`~.gcdc_page.UpdatePageRequest`):
The request object. The request message for
[Pages.UpdatePage][google.cloud.dialogflow.cx.v3.Pages.UpdatePage].
page (:class:`~.gcdc_page.Page`):
Required. The page to update.
This corresponds to the ``page`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
update_mask (:class:`~.field_mask.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:
~.gcdc_page.Page:
A Dialogflow CX conversation (session) can be described
and visualized as a state machine. The states of a CX
session are represented by pages.
For each flow, you define many pages, where your
combined pages can handle a complete conversation on the
topics the flow is designed for. At any given moment,
exactly one page is the current page, the current page
is considered active, and the flow associated with that
page is considered active. Every flow has a special
start page. When a flow initially becomes active, the
start page page becomes the current page. For each
conversational turn, the current page will either stay
the same or transition to another page.
You configure each page to collect information from the
end-user that is relevant for the conversational state
represented by the page.
For more information, see the `Page
guide <https://cloud.google.com/dialogflow/cx/docs/concept/page>`__.
"""
# 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([page, 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_page.UpdatePageRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if page is not None:
request.page = page
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_page,
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(
(("page.name", request.page.name),)
),
)
# Send the request.
response = await rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
# Done; return the response.
return response
def update_page(
self,
request: Union[gcdc_page.UpdatePageRequest, dict] = None,
*,
page: gcdc_page.Page = None,
update_mask: field_mask_pb2.FieldMask = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> gcdc_page.Page:
r"""Updates the specified page.
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_page():
# Create a client
client = dialogflowcx_v3.PagesClient()
# Initialize request argument(s)
page = dialogflowcx_v3.Page()
page.display_name = "display_name_value"
request = dialogflowcx_v3.UpdatePageRequest(
page=page,
)
# Make the request
response = client.update_page(request=request)
# Handle the response
print(response)
Args:
request (Union[google.cloud.dialogflowcx_v3.types.UpdatePageRequest, dict]):
The request object. The request message for
[Pages.UpdatePage][google.cloud.dialogflow.cx.v3.Pages.UpdatePage].
page (google.cloud.dialogflowcx_v3.types.Page):
Required. The page to update.
This corresponds to the ``page`` 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.Page:
A Dialogflow CX conversation (session) can be described and visualized as a
state machine. The states of a CX session are
represented by pages.
For each flow, you define many pages, where your
combined pages can handle a complete conversation on
the topics the flow is designed for. At any given
moment, exactly one page is the current page, the
current page is considered active, and the flow
associated with that page is considered active. Every
flow has a special start page. When a flow initially
becomes active, the start page page becomes the
current page. For each conversational turn, the
current page will either stay the same or transition
to another page.
You configure each page to collect information from
the end-user that is relevant for the conversational
state represented by the page.
For more information, see the [Page
guide](\ https://cloud.google.com/dialogflow/cx/docs/concept/page).
"""
# 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([page, 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_page.UpdatePageRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, gcdc_page.UpdatePageRequest):
request = gcdc_page.UpdatePageRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if page is not None:
request.page = page
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_page]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata(
(("page.name", request.page.name),)
),
)
# Send the request.
response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
# Done; return the response.
return response