Returns both the current and recommended resource configuration and the estimated cost impact for a recommendation.
The recommendationId is only valid for up to a maximum of 24 hours as recommendations are refreshed daily. To retrieve the recommendationId, use the ListRecommendations API.
Parameters:
-
recommendation_id
(str)
–
The ID for the recommendation.
Raises:
Source code in docs_src/capo_cost_optimization_hub/_services/cost_optimization_hub.py
| def get_recommendation(
self,
recommendation_id: str,
*,
config_overrides: Optional[CostOptimizationHubClientConfig] = None,
) -> "capo_cost_optimization_hub.types.get_recommendation_response.GetRecommendationResponse":
"""<p>Returns both the current and recommended resource configuration and the estimated cost impact for a recommendation.</p> <p>The <code>recommendationId</code> is only valid for up to a maximum of 24 hours as recommendations are refreshed daily. To retrieve the <code>recommendationId</code>, use the <code>ListRecommendations</code> API.</p>
Args:
recommendation_id: <p>The ID for the recommendation.</p>
Raises:
capo_cost_optimization_hub.errors.access_denied_exception.AccessDeniedException: <p>You are not authorized to use this operation with the given parameters.</p>
capo_cost_optimization_hub.errors.internal_server_exception.InternalServerException: <p>An error on the server occurred during the processing of your request. Try again later.</p>
capo_cost_optimization_hub.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified Amazon Resource Name (ARN) in the request doesn't exist.</p>
capo_cost_optimization_hub.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
capo_cost_optimization_hub.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by an Amazon Web Services service.</p>
capo_cost_optimization_hub.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_cost_optimization_hub.types.get_recommendation_request.GetRecommendationRequest]",
) -> OperationResponse[
"capo_cost_optimization_hub.types.get_recommendation_response.GetRecommendationResponse"
]:
import capo_cost_optimization_hub._operations.cost_optimization_hub_service.get_recommendation
output, http_response = (
capo_cost_optimization_hub._operations.cost_optimization_hub_service.get_recommendation.get_recommendation(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("GetRecommendation")
)
input_: capo_cost_optimization_hub.types.get_recommendation_request.GetRecommendationRequest = {
"recommendation_id": recommendation_id
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|