get_agent_recommendation ¶

def get_agent_recommendation(
    self,
    recommendation_arn: "capo_wellarchitected.types.agent_recommendation_arn.AgentRecommendationArn",
    *,
    config_overrides: Optional[WellArchitectedClientConfig] = None,
    remediation_type: Optional[
        "capo_wellarchitected.types.remediation_type.RemediationType"
    ] = None,
) -> "capo_wellarchitected.types.get_agent_recommendation_response.GetAgentRecommendationResponse":
    """<p>Retrieves detailed information about a specific optimization recommendation, including its impact analysis, content, and implementation guidance.</p>

    Args:
        recommendation_arn: <p>The Amazon Resource Name (ARN) of the recommendation to retrieve.</p>
        remediation_type: <p>Optional filter on remediation type.</p>

    Raises:
        capo_wellarchitected.errors.access_denied_exception.AccessDeniedException: <p>User does not have sufficient access to perform this action.</p>
        capo_wellarchitected.errors.internal_server_exception.InternalServerException: <p>There is a problem with the Well-Architected Tool API service.</p>
        capo_wellarchitected.errors.resource_not_found_exception.ResourceNotFoundException: <p>The requested resource was not found.</p>
        capo_wellarchitected.errors.throttling_exception.ThrottlingException: <p>Request was denied due to request throttling.</p>
        capo_wellarchitected.errors.validation_exception.ValidationException: <p>The user input is not valid.</p>
        capo_wellarchitected.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_wellarchitected.types.get_agent_recommendation_request.GetAgentRecommendationRequest]",
    ) -> OperationResponse[
        "capo_wellarchitected.types.get_agent_recommendation_response.GetAgentRecommendationResponse"
    ]:
        import capo_wellarchitected._operations.well_architected_api_service_lambda.get_agent_recommendation

        output, http_response = (
            capo_wellarchitected._operations.well_architected_api_service_lambda.get_agent_recommendation.get_agent_recommendation(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_wellarchitected.types.get_agent_recommendation_response.GetAgentRecommendationResponse",
    ) -> dict[str, Any]:
        import capo_wellarchitected.types.get_agent_recommendation_response

        return capo_wellarchitected.types.get_agent_recommendation_response.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("GetAgentRecommendation", redact_output=_redact_output),
    )
    input_: capo_wellarchitected.types.get_agent_recommendation_request.GetAgentRecommendationRequest = {
        "recommendation_arn": recommendation_arn
    }
    if remediation_type is not None:
        input_["remediation_type"] = remediation_type

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output