def get_answer_record(
self,
request: answer_record.GetAnswerRecordRequest = None,
*,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> answer_record.AnswerRecord:
r"""Deprecated.
Retrieves a specific answer record.
Args:
request (google.cloud.dialogflow_v2beta1.types.GetAnswerRecordRequest):
The request object. Request message for
[AnswerRecords.GetAnswerRecord][google.cloud.dialogflow.v2beta1.AnswerRecords.GetAnswerRecord].
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_v2beta1.types.AnswerRecord:
Answer records are records to manage answer history and feedbacks for
Dialogflow.
Currently, answer record includes:
- human agent assistant article suggestion
- human agent assistant faq article
It doesn't include:
- DetectIntent intent matching
- DetectIntent knowledge
Answer records are not related to the conversation
history in the Dialogflow Console. A Record is
generated even when the end-user disables
conversation history in the console. Records are
created when there's a human agent assistant
suggestion generated.
A typical workflow for customers provide feedback to
an answer is:
1. For human agent assistant, customers get
suggestion via ListSuggestions API. Together with
the answers,
[AnswerRecord.name][google.cloud.dialogflow.v2beta1.AnswerRecord.name]
are returned to the customers.
2. The customer uses the
[AnswerRecord.name][google.cloud.dialogflow.v2beta1.AnswerRecord.name]
to call the [UpdateAnswerRecord][] method to send
feedback about a specific answer that they believe is
wrong.
"""
# Create or coerce a protobuf request object.
# Minor optimization to avoid making a copy if the user passes
# in a answer_record.GetAnswerRecordRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, answer_record.GetAnswerRecordRequest):
request = answer_record.GetAnswerRecordRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[
self._transport.get_answer_record]
# 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
async def get_answer_record(
self,
request: Union[answer_record.GetAnswerRecordRequest, dict] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> answer_record.AnswerRecord:
r"""Deprecated.
Retrieves a specific answer record.
.. code-block:: python
from google.cloud import dialogflow_v2beta1
async def sample_get_answer_record():
# Create a client
client = dialogflow_v2beta1.AnswerRecordsAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.GetAnswerRecordRequest(
)
# Make the request
response = await client.get_answer_record(request=request)
# Handle the response
print(response)
Args:
request (Union[google.cloud.dialogflow_v2beta1.types.GetAnswerRecordRequest, dict]):
The request object. Request message for
[AnswerRecords.GetAnswerRecord][google.cloud.dialogflow.v2beta1.AnswerRecords.GetAnswerRecord].
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_v2beta1.types.AnswerRecord:
Answer records are records to manage answer history and feedbacks for
Dialogflow.
Currently, answer record includes:
- human agent assistant article suggestion
- human agent assistant faq article
It doesn't include:
- DetectIntent intent matching
- DetectIntent knowledge
Answer records are not related to the conversation
history in the Dialogflow Console. A Record is
generated even when the end-user disables
conversation history in the console. Records are
created when there's a human agent assistant
suggestion generated.
A typical workflow for customers provide feedback to
an answer is:
1. For human agent assistant, customers get
suggestion via ListSuggestions API. Together with
the answers,
[AnswerRecord.name][google.cloud.dialogflow.v2beta1.AnswerRecord.name]
are returned to the customers.
2. The customer uses the
[AnswerRecord.name][google.cloud.dialogflow.v2beta1.AnswerRecord.name]
to call the [UpdateAnswerRecord][] method to send
feedback about a specific answer that they believe
is wrong.
"""
warnings.warn(
"AnswerRecordsAsyncClient.get_answer_record is deprecated",
DeprecationWarning,
)
# Create or coerce a protobuf request object.
request = answer_record.GetAnswerRecordRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = gapic_v1.method_async.wrap_method(
self._client._transport.get_answer_record,
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