Adds one or more key-value tags to an Amazon Rekognition collection, stream processor, or Custom Labels model. For more information, see Tagging AWS Resources.
This operation requires permissions to perform the rekognition:TagResource action.
Parameters:
-
resource_arn
(ResourceArn)
–
Amazon Resource Name (ARN) of the model, collection, or stream processor that you want to assign the tags to.
-
tags
(TagMap)
–
The key-value tags to assign to the resource.
Raises:
Source code in docs_src/capo_rekognition/_services/rekognition.py
| def tag_resource(
self,
resource_arn: "capo_rekognition.types.resource_arn.ResourceArn",
tags: "capo_rekognition.types.tag_map.TagMap",
*,
config_overrides: Optional[RekognitionClientConfig] = None,
) -> "capo_rekognition.types.tag_resource_response.TagResourceResponse":
"""<p> Adds one or more key-value tags to an Amazon Rekognition collection, stream processor, or Custom Labels model. For more information, see <a href="https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html">Tagging AWS Resources</a>. </p> <p>This operation requires permissions to perform the <code>rekognition:TagResource</code> action. </p>
Args:
resource_arn: <p> Amazon Resource Name (ARN) of the model, collection, or stream processor that you want to assign the tags to. </p>
tags: <p> The key-value tags to assign to the resource. </p>
Raises:
capo_rekognition.errors.access_denied_exception.AccessDeniedException: <p>You are not authorized to perform the action.</p>
capo_rekognition.errors.internal_server_error.InternalServerError: <p>Amazon Rekognition experienced a service issue. Try your call again.</p>
capo_rekognition.errors.invalid_parameter_exception.InvalidParameterException: <p>Input parameter violated a constraint. Validate your parameter before calling the API operation again.</p>
capo_rekognition.errors.provisioned_throughput_exceeded_exception.ProvisionedThroughputExceededException: <p>The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Rekognition.</p>
capo_rekognition.errors.resource_not_found_exception.ResourceNotFoundException: <p>The resource specified in the request cannot be found.</p>
capo_rekognition.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p></p> <p>The size of the collection exceeds the allowed limit. For more information, see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition Developer Guide. </p>
capo_rekognition.errors.throttling_exception.ThrottlingException: <p>Amazon Rekognition is temporarily unable to process the request. Try your call again.</p>
capo_rekognition.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_rekognition.types.tag_resource_request.TagResourceRequest]",
) -> OperationResponse[
"capo_rekognition.types.tag_resource_response.TagResourceResponse"
]:
import capo_rekognition._operations.rekognition_service.tag_resource
output, http_response = (
capo_rekognition._operations.rekognition_service.tag_resource.tag_resource(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("TagResource")
)
input_: capo_rekognition.types.tag_resource_request.TagResourceRequest = {
"resource_arn": resource_arn,
"tags": tags,
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|