async def batch_update_intents(
self,
request: intent.BatchUpdateIntentsRequest = None,
*,
parent: str = None,
intent_batch_uri: str = None,
intent_batch_inline: intent.IntentBatch = None,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> operation_async.AsyncOperation:
r"""Updates/Creates multiple intents in the specified agent.
Operation <response:
[BatchUpdateIntentsResponse][google.cloud.dialogflow.v2.BatchUpdateIntentsResponse]>
Args:
request (:class:`google.cloud.dialogflow_v2.types.BatchUpdateIntentsRequest`):
The request object.
parent (:class:`str`):
Required. The name of the agent to update or create
intents in. Format: ``projects/<Project ID>/agent``.
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
intent_batch_uri (:class:`str`):
The URI to a Google Cloud Storage
file containing intents to update or
create. The file format can either be a
serialized proto (of IntentBatch type)
or JSON object. Note: The URI must start
with "gs://".
This corresponds to the ``intent_batch_uri`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
intent_batch_inline (:class:`google.cloud.dialogflow_v2.types.IntentBatch`):
The collection of intents to update
or create.
This corresponds to the ``intent_batch_inline`` 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.cloud.dialogflow_v2.types.BatchUpdateIntentsResponse`
The response message for
[Intents.BatchUpdateIntents][google.cloud.dialogflow.v2.Intents.BatchUpdateIntents].
"""
# 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, intent_batch_uri, intent_batch_inline])
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 = intent.BatchUpdateIntentsRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if intent_batch_uri is not None:
request.intent_batch_uri = intent_batch_uri
if intent_batch_inline is not None:
request.intent_batch_inline = intent_batch_inline
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = gapic_v1.method_async.wrap_method(
self._client._transport.batch_update_intents,
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,
intent.BatchUpdateIntentsResponse,
metadata_type=struct_pb2.Struct,
)
# Done; return the response.
return response
async def batch_update_intents(
self,
request: Union[intent.BatchUpdateIntentsRequest, dict] = None,
*,
parent: str = None,
intent_batch_uri: str = None,
intent_batch_inline: intent.IntentBatch = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> operation_async.AsyncOperation:
r"""Updates/Creates multiple intents in 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``:
[BatchUpdateIntentsResponse][google.cloud.dialogflow.v2.BatchUpdateIntentsResponse]
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_batch_update_intents():
# Create a client
client = dialogflow_v2.IntentsAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2.BatchUpdateIntentsRequest(
intent_batch_uri="intent_batch_uri_value",
parent="parent_value",
)
# Make the request
operation = client.batch_update_intents(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.BatchUpdateIntentsRequest, dict]):
The request object.
parent (:class:`str`):
Required. The name of the agent to update or create
intents in. Format: ``projects/<Project ID>/agent``.
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
intent_batch_uri (:class:`str`):
The URI to a Google Cloud Storage
file containing intents to update or
create. The file format can either be a
serialized proto (of IntentBatch type)
or JSON object. Note: The URI must start
with "gs://".
This corresponds to the ``intent_batch_uri`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
intent_batch_inline (:class:`google.cloud.dialogflow_v2.types.IntentBatch`):
The collection of intents to update
or create.
This corresponds to the ``intent_batch_inline`` 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.cloud.dialogflow_v2.types.BatchUpdateIntentsResponse`
The response message for
[Intents.BatchUpdateIntents][google.cloud.dialogflow.v2.Intents.BatchUpdateIntents].
"""
# 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, intent_batch_uri, intent_batch_inline])
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 = intent.BatchUpdateIntentsRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if intent_batch_uri is not None:
request.intent_batch_uri = intent_batch_uri
if intent_batch_inline is not None:
request.intent_batch_inline = intent_batch_inline
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = gapic_v1.method_async.wrap_method(
self._client._transport.batch_update_intents,
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,
intent.BatchUpdateIntentsResponse,
metadata_type=struct_pb2.Struct,
)
# Done; return the response.
return response