Associates a list of analytics datasets for a given Connect Customer instance to a target account. You can associate multiple datasets in a single call.
Parameters:
-
instance_id
(InstanceId)
–
The identifier of the Connect Customer instance. You can find the instance ID in the Amazon Resource Name (ARN) of the instance.
-
data_set_ids
(DataSetIds)
–
An array of dataset identifiers to associate.
-
target_account_id
(Optional[AWSAccountId], default:
None
)
–
The identifier of the target account. Use to associate a dataset to a different account than the one containing the Connect Customer instance. If not specified, by default this value is the Amazon Web Services account that has the Connect Customer instance.
Raises:
Source code in docs_src/capo_connect/_services/connect.py
| def batch_associate_analytics_data_set(
self,
instance_id: "capo_connect.types.instance_id.InstanceId",
data_set_ids: "capo_connect.types.data_set_ids.DataSetIds",
*,
config_overrides: Optional[ConnectClientConfig] = None,
target_account_id: Optional[
"capo_connect.types.aws_account_id.AWSAccountId"
] = None,
) -> "capo_connect.types.batch_associate_analytics_data_set_response.BatchAssociateAnalyticsDataSetResponse":
"""<p>Associates a list of analytics datasets for a given Connect Customer instance to a target account. You can associate multiple datasets in a single call.</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>
data_set_ids: <p>An array of dataset identifiers to associate.</p>
target_account_id: <p>The identifier of the target account. Use to associate a dataset to a different account than the one containing the Connect Customer instance. If not specified, by default this value is the Amazon Web Services account that has the Connect Customer instance.</p>
Raises:
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_parameter_exception.InvalidParameterException: <p>One or more of the specified parameters are not valid.</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.batch_associate_analytics_data_set_request.BatchAssociateAnalyticsDataSetRequest]",
) -> OperationResponse[
"capo_connect.types.batch_associate_analytics_data_set_response.BatchAssociateAnalyticsDataSetResponse"
]:
import capo_connect._operations.amazon_connect_service.batch_associate_analytics_data_set
output, http_response = (
capo_connect._operations.amazon_connect_service.batch_associate_analytics_data_set.batch_associate_analytics_data_set(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("BatchAssociateAnalyticsDataSet")
)
input_: capo_connect.types.batch_associate_analytics_data_set_request.BatchAssociateAnalyticsDataSetRequest = {
"instance_id": instance_id,
"data_set_ids": data_set_ids,
}
if target_account_id is not None:
input_["target_account_id"] = target_account_id
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|