update_data_table_primary_values ¶

def update_data_table_primary_values(
    self,
    instance_id: "capo_connect.types.instance_id.InstanceId",
    data_table_id: "capo_connect.types.data_table_id.DataTableId",
    primary_values: "capo_connect.types.primary_values_set.PrimaryValuesSet",
    new_primary_values: "capo_connect.types.primary_values_set.PrimaryValuesSet",
    lock_version: "capo_connect.types.data_table_lock_version.DataTableLockVersion",
    *,
    config_overrides: Optional[ConnectClientConfig] = None,
) -> "capo_connect.types.update_data_table_primary_values_response.UpdateDataTablePrimaryValuesResponse":
    """<p>Updates the primary values for a record. This operation affects all existing values that are currently associated to the record and its primary values. Users that have restrictions on attributes and/or primary values are not authorized to use this endpoint. The combination of new primary values must be unique within the table.</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. If the version is provided as part of the identifier or ARN, the version must be one of the two available system managed aliases, $SAVED or $LATEST.</p>
        primary_values: <p>The current primary values for the record. Required and must include values for all primary attributes. Fails if the table has primary attributes and some primary values are omitted.</p>
        new_primary_values: <p>The new primary values for the record. Required and must include values for all primary attributes. The combination must be unique within the table.</p>
        lock_version: <p>The lock version information required for optimistic locking to prevent concurrent modifications.</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.
    """

    def _handler(
        req: "OperationRequest[capo_connect.types.update_data_table_primary_values_request.UpdateDataTablePrimaryValuesRequest]",
    ) -> OperationResponse[
        "capo_connect.types.update_data_table_primary_values_response.UpdateDataTablePrimaryValuesResponse"
    ]:
        import capo_connect._operations.amazon_connect_service.update_data_table_primary_values

        output, http_response = (
            capo_connect._operations.amazon_connect_service.update_data_table_primary_values.update_data_table_primary_values(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateDataTablePrimaryValues")
    )
    input_: capo_connect.types.update_data_table_primary_values_request.UpdateDataTablePrimaryValuesRequest = {
        "instance_id": instance_id,
        "data_table_id": data_table_id,
        "primary_values": primary_values,
        "new_primary_values": new_primary_values,
        "lock_version": lock_version,
    }

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output