Updates multiple data table values using all properties from BatchCreateDataTableValue. System managed values are not modifiable by customers. The operation requires proper lock versions to prevent concurrent modification conflicts.
Parameters:
-
instance_id
(InstanceId)
–
The unique identifier for the Amazon Connect instance.
-
data_table_id
(DataTableId)
–
The unique identifier for the data table. Must also accept the table ARN with or without a version alias.
-
values
(DataTableValueList)
–
A list of values to update, each including the current lock version to ensure optimistic locking.
Raises:
Source code in docs_src/capo_connect/_services/async_connect.py
| async def batch_update_data_table_value(
self,
instance_id: "capo_connect.types.instance_id.InstanceId",
data_table_id: "capo_connect.types.data_table_id.DataTableId",
values: "capo_connect.types.data_table_value_list.DataTableValueList",
*,
config_overrides: Optional[AsyncConnectClientConfig] = None,
) -> "capo_connect.types.batch_update_data_table_value_response.BatchUpdateDataTableValueResponse":
"""<p>Updates multiple data table values using all properties from BatchCreateDataTableValue. System managed values are not modifiable by customers. The operation requires proper lock versions to prevent concurrent modification conflicts.</p>
Args:
instance_id: <p>The unique identifier for the Amazon Connect instance.</p>
data_table_id: <p>The unique identifier for the data table. Must also accept the table ARN with or without a version alias.</p>
values: <p>A list of values to update, each including the current lock version to ensure optimistic locking.</p>
Raises:
capo_connect.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient permissions to perform this action.</p>
capo_connect.errors.conflict_exception.ConflictException: <p>Operation cannot be performed at this time as there is a conflict with another operation or contact state.</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_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.
"""
async def _handler(
req: "AsyncOperationRequest[capo_connect.types.batch_update_data_table_value_request.BatchUpdateDataTableValueRequest]",
) -> AsyncOperationResponse[
"capo_connect.types.batch_update_data_table_value_response.BatchUpdateDataTableValueResponse"
]:
import capo_connect._operations.amazon_connect_service.batch_update_data_table_value
(
output,
http_response,
) = await capo_connect._operations.amazon_connect_service.batch_update_data_table_value.async_batch_update_data_table_value(
req.options, req.input
)
return AsyncOperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("BatchUpdateDataTableValue")
)
input_: capo_connect.types.batch_update_data_table_value_request.BatchUpdateDataTableValueRequest = {
"instance_id": instance_id,
"data_table_id": data_table_id,
"values": values,
}
response = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output
|