Associates an existing vocabulary as the default. Contact Lens for Connect Customer uses the vocabulary in post-call and real-time analysis sessions for the given language.
Parameters:
Raises:
Source code in docs_src/capo_connect/_services/connect.py
| def associate_default_vocabulary(
self,
instance_id: "capo_connect.types.instance_id.InstanceId",
language_code: "capo_connect.types.vocabulary_language_code.VocabularyLanguageCode",
*,
config_overrides: Optional[ConnectClientConfig] = None,
vocabulary_id: Optional["capo_connect.types.vocabulary_id.VocabularyId"] = None,
) -> "capo_connect.types.associate_default_vocabulary_response.AssociateDefaultVocabularyResponse":
"""<p>Associates an existing vocabulary as the default. Contact Lens for Connect Customer uses the vocabulary in post-call and real-time analysis sessions for the given language.</p>
Args:
instance_id: <p>The identifier of the Connect Customer instance. You can <a href="https://docs.aws.amazon.com/connect/latest/adminguide/find-instance-arn.html">find the instance ID</a> in the Amazon Resource Name (ARN) of the instance.</p>
language_code: <p>The language code of the vocabulary entries. For a list of languages and their corresponding language codes, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/transcribe-whatis.html">What is Amazon Transcribe?</a> </p>
vocabulary_id: <p>The identifier of the custom vocabulary. If this is empty, the default is set to none.</p>
Raises:
capo_connect.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient permissions to perform this action.</p>
capo_connect.errors.internal_service_exception.InternalServiceException: <p>Request processing failed because of an error or failure with the service.</p>
capo_connect.errors.invalid_request_exception.InvalidRequestException: <p>The request is not valid.</p>
capo_connect.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
capo_connect.errors.throttling_exception.ThrottlingException: <p>The throttling limit has been exceeded.</p>
capo_connect.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_connect.types.associate_default_vocabulary_request.AssociateDefaultVocabularyRequest]",
) -> OperationResponse[
"capo_connect.types.associate_default_vocabulary_response.AssociateDefaultVocabularyResponse"
]:
import capo_connect._operations.amazon_connect_service.associate_default_vocabulary
output, http_response = (
capo_connect._operations.amazon_connect_service.associate_default_vocabulary.associate_default_vocabulary(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("AssociateDefaultVocabulary")
)
input_: capo_connect.types.associate_default_vocabulary_request.AssociateDefaultVocabularyRequest = {
"instance_id": instance_id,
"language_code": language_code,
}
if vocabulary_id is not None:
input_["vocabulary_id"] = vocabulary_id
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|