Tags a resource in Amazon DataZone.
Parameters:
-
resource_arn
(str)
–
The ARN of the resource to be tagged in Amazon DataZone.
-
tags
(Tags)
–
Specifies the tags for the TagResource action.
Raises:
Source code in docs_src/capo_datazone/_services/data_zone.py
| def tag_resource(
self,
resource_arn: str,
tags: "capo_datazone.types.tags.Tags",
*,
config_overrides: Optional[DataZoneClientConfig] = None,
) -> "capo_datazone.types.tag_resource_response.TagResourceResponse":
"""<p>Tags a resource in Amazon DataZone.</p>
Args:
resource_arn: <p>The ARN of the resource to be tagged in Amazon DataZone.</p>
tags: <p>Specifies the tags for the <code>TagResource</code> action.</p>
Raises:
capo_datazone.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
capo_datazone.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
capo_datazone.errors.unauthorized_exception.UnauthorizedException: <p>You do not have permission to perform this action.</p>
capo_datazone.errors.internal_server_exception.InternalServerException: <p>The request has failed because of an unknown error, exception or failure.</p>
capo_datazone.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource cannot be found.</p>
capo_datazone.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by the Amazon Web Services service.</p>
capo_datazone.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_datazone.types.tag_resource_request.TagResourceRequest]",
) -> OperationResponse[
"capo_datazone.types.tag_resource_response.TagResourceResponse"
]:
import capo_datazone._operations.data_zone.tag_resource
output, http_response = (
capo_datazone._operations.data_zone.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_datazone.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
|