Associate a set of tags with a Timestream resource. You can then activate these user-defined tags so that they appear on the Billing and Cost Management console for cost allocation tracking.
Parameters:
-
resource_arn
(AmazonResourceName)
–
Identifies the Timestream resource to which tags should be added. This value is an Amazon Resource Name (ARN).
-
tags
(TagList)
–
The tags to be assigned to the Timestream resource.
Raises:
Source code in docs_src/capo_timestream_query/_services/async_timestream_query.py
| async def tag_resource(
self,
resource_arn: "capo_timestream_query.types.amazon_resource_name.AmazonResourceName",
tags: "capo_timestream_query.types.tag_list.TagList",
*,
config_overrides: Optional[AsyncTimestreamQueryClientConfig] = None,
) -> "capo_timestream_query.types.tag_resource_response.TagResourceResponse":
"""<p>Associate a set of tags with a Timestream resource. You can then activate these user-defined tags so that they appear on the Billing and Cost Management console for cost allocation tracking. </p>
Args:
resource_arn: <p>Identifies the Timestream resource to which tags should be added. This value is an Amazon Resource Name (ARN).</p>
tags: <p>The tags to be assigned to the Timestream resource.</p>
Raises:
capo_timestream_query.errors.invalid_endpoint_exception.InvalidEndpointException: <p>The requested endpoint is invalid.</p>
capo_timestream_query.errors.resource_not_found_exception.ResourceNotFoundException: <p>The requested resource could not be found.</p>
capo_timestream_query.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>You have exceeded the service quota.</p>
capo_timestream_query.errors.throttling_exception.ThrottlingException: <p>The request was throttled due to excessive requests.</p>
capo_timestream_query.errors.validation_exception.ValidationException: <p> Invalid or malformed request. </p>
capo_timestream_query.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
async def _handler(
req: "AsyncOperationRequest[capo_timestream_query.types.tag_resource_request.TagResourceRequest]",
) -> AsyncOperationResponse[
"capo_timestream_query.types.tag_resource_response.TagResourceResponse"
]:
import capo_timestream_query._operations.timestream_20181101.tag_resource
(
output,
http_response,
) = await capo_timestream_query._operations.timestream_20181101.tag_resource.async_tag_resource(
req.options, req.input
)
return AsyncOperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("TagResource")
)
input_: capo_timestream_query.types.tag_resource_request.TagResourceRequest = {
"resource_arn": resource_arn,
"tags": tags,
}
response = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output
|