untag_resource `async` ¶

untag_resource(
    resource_arn: TaggableResourceArn,
    tag_keys: TagKeys,
    *,
    config_overrides: Optional[AsyncMWAAServerlessClientConfig] = None,
) -> UntagResourceResponse

Removes tags from an Amazon Managed Workflows for Apache Airflow Serverless resource. This operation removes the specified tags from the resource.

Parameters:

resource_arn (TaggableResourceArn) –

The Amazon Resource Name (ARN) of the resource from which to remove tags.
tag_keys (TagKeys) –

A list of tag keys to remove from the resource. Only the keys are required; the values are ignored.

Raises:

AccessDeniedException –

You do not have sufficient permission to perform this action.
InternalServerException –

An unexpected server-side error occurred during request processing.
OperationTimeoutException –

The operation timed out.
ResourceNotFoundException –

The specified resource was not found. You can only access or modify a resource that already exists.
ThrottlingException –

The request was denied because too many requests were made in a short period, exceeding the service rate limits. Amazon Managed Workflows for Apache Airflow Serverless implements throttling controls to ensure fair resource allocation across all customers in the multi-tenant environment. This helps maintain service stability and performance. If you encounter throttling, implement exponential backoff and retry logic in your applications, or consider distributing your API calls over a longer time period.
ValidationException –

The specified request parameters are invalid, missing, or inconsistent with Amazon Managed Workflows for Apache Airflow Serverless service requirements. This can occur when workflow definitions contain unsupported operators, when required IAM permissions are missing, when S3 locations are inaccessible, or when network configurations are invalid. The service validates workflow definitions, execution roles, and resource configurations to ensure compatibility with the managed Airflow environment and security requirements.
UnknownServiceError –

The service returned an error code this client does not model.

Source code in docs_src/capo_mwaa_serverless/_services/async_mwaa_serverless.py

async def untag_resource(
    self,
    resource_arn: "capo_mwaa_serverless.types.taggable_resource_arn.TaggableResourceArn",
    tag_keys: "capo_mwaa_serverless.types.tag_keys.TagKeys",
    *,
    config_overrides: Optional[AsyncMWAAServerlessClientConfig] = None,
) -> "capo_mwaa_serverless.types.untag_resource_response.UntagResourceResponse":
    """<p>Removes tags from an Amazon Managed Workflows for Apache Airflow Serverless resource. This operation removes the specified tags from the resource.</p>

    Args:
        resource_arn: <p>The Amazon Resource Name (ARN) of the resource from which to remove tags.</p>
        tag_keys: <p>A list of tag keys to remove from the resource. Only the keys are required; the values are ignored.</p>

    Raises:
        capo_mwaa_serverless.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient permission to perform this action.</p>
        capo_mwaa_serverless.errors.internal_server_exception.InternalServerException: <p>An unexpected server-side error occurred during request processing.</p>
        capo_mwaa_serverless.errors.operation_timeout_exception.OperationTimeoutException: <p>The operation timed out.</p>
        capo_mwaa_serverless.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found. You can only access or modify a resource that already exists.</p>
        capo_mwaa_serverless.errors.throttling_exception.ThrottlingException: <p>The request was denied because too many requests were made in a short period, exceeding the service rate limits. Amazon Managed Workflows for Apache Airflow Serverless implements throttling controls to ensure fair resource allocation across all customers in the multi-tenant environment. This helps maintain service stability and performance. If you encounter throttling, implement exponential backoff and retry logic in your applications, or consider distributing your API calls over a longer time period.</p>
        capo_mwaa_serverless.errors.validation_exception.ValidationException: <p>The specified request parameters are invalid, missing, or inconsistent with Amazon Managed Workflows for Apache Airflow Serverless service requirements. This can occur when workflow definitions contain unsupported operators, when required IAM permissions are missing, when S3 locations are inaccessible, or when network configurations are invalid. The service validates workflow definitions, execution roles, and resource configurations to ensure compatibility with the managed Airflow environment and security requirements.</p>
        capo_mwaa_serverless.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_mwaa_serverless.types.untag_resource_request.UntagResourceRequest]",
    ) -> AsyncOperationResponse[
        "capo_mwaa_serverless.types.untag_resource_response.UntagResourceResponse"
    ]:
        import capo_mwaa_serverless._operations.amazon_mwaa_serverless.untag_resource

        (
            output,
            http_response,
        ) = await capo_mwaa_serverless._operations.amazon_mwaa_serverless.untag_resource.async_untag_resource(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UntagResource")
    )
    input_: capo_mwaa_serverless.types.untag_resource_request.UntagResourceRequest = {
        "resource_arn": resource_arn,
        "tag_keys": tag_keys,
    }

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output

untag_resource async ¶

untag_resource `async` ¶