async def complete_conversation(
self,
request: Union[conversation.CompleteConversationRequest, dict] = None,
*,
name: str = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> conversation.Conversation:
r"""Completes the specified conversation. Finished
conversations are purged from the database after 30
days.
.. code-block:: python
from google.cloud import dialogflow_v2
async def sample_complete_conversation():
# Create a client
client = dialogflow_v2.ConversationsAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2.CompleteConversationRequest(
name="name_value",
)
# Make the request
response = await client.complete_conversation(request=request)
# Handle the response
print(response)
Args:
request (Union[google.cloud.dialogflow_v2.types.CompleteConversationRequest, dict]):
The request object. The request message for
[Conversations.CompleteConversation][google.cloud.dialogflow.v2.Conversations.CompleteConversation].
name (:class:`str`):
Required. Resource identifier of the conversation to
close. Format:
``projects/<Project ID>/locations/<Location ID>/conversations/<Conversation 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.cloud.dialogflow_v2.types.Conversation:
Represents a conversation.
A conversation is an interaction between
an agent, including live agents and
Dialogflow agents, and a support
customer. Conversations can include
phone calls and text-based chat
sessions.
"""
# 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([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 = conversation.CompleteConversationRequest(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.complete_conversation,
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,
)
# Done; return the response.
return response
def complete_conversation(
self,
request: conversation.CompleteConversationRequest = None,
*,
name: str = None,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> conversation.Conversation:
r"""Completes the specified conversation. Finished
conversations are purged from the database after 30
days.
Args:
request (google.cloud.dialogflow_v2.types.CompleteConversationRequest):
The request object. The request message for
[Conversations.CompleteConversation][google.cloud.dialogflow.v2.Conversations.CompleteConversation].
name (str):
Required. Resource identifier of the conversation to
close. Format:
``projects/<Project ID>/locations/<Location ID>/conversations/<Conversation 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.cloud.dialogflow_v2.types.Conversation:
Represents a conversation.
A conversation is an interaction between
an agent, including live agents and
Dialogflow agents, and a support
customer. Conversations can include
phone calls and text-based chat
sessions.
"""
# 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 conversation.CompleteConversationRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, conversation.CompleteConversationRequest):
request = conversation.CompleteConversationRequest(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.complete_conversation]
# 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,
)
# Done; return the response.
return response
