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get_recommendation

get_recommendation(
    recommendation_identifier: AccountRecommendationIdentifier,
    *,
    config_overrides: Optional[TrustedAdvisorClientConfig] = None,
    language: Optional[RecommendationLanguage] = None,
) -> GetRecommendationResponse

Get a specific Recommendation. This API provides global recommendations, eliminating the need to call the API in each AWS Region.

Parameters:

Raises:

Examples:

Get a Recommendation by ARN

>>> client.get_recommendation(recommendation_identifier='arn:aws:trustedadvisor::000000000000:recommendation/55fa4d2e-bbb7-491a-833b-5773e9589578')
Source code in docs_src/capo_trustedadvisor/_services/trusted_advisor.py
def get_recommendation(
    self,
    recommendation_identifier: "capo_trustedadvisor.types.account_recommendation_identifier.AccountRecommendationIdentifier",
    *,
    config_overrides: Optional[TrustedAdvisorClientConfig] = None,
    language: Optional[
        "capo_trustedadvisor.types.recommendation_language.RecommendationLanguage"
    ] = None,
) -> "capo_trustedadvisor.types.get_recommendation_response.GetRecommendationResponse":
    """<p>Get a specific Recommendation. This API provides global recommendations, eliminating the need to call the API in each AWS Region.</p>

    Args:
        recommendation_identifier: <p>The Recommendation identifier</p>
        language: <p>The ISO 639-1 code for the language that you want your recommendations to appear in.</p>

    Raises:
        capo_trustedadvisor.errors.access_denied_exception.AccessDeniedException: <p>Exception that access has been denied due to insufficient access</p>
        capo_trustedadvisor.errors.internal_server_exception.InternalServerException: <p>Exception to notify that an unexpected internal error occurred during processing of the request</p>
        capo_trustedadvisor.errors.resource_not_found_exception.ResourceNotFoundException: <p>Exception that the requested resource has not been found</p>
        capo_trustedadvisor.errors.throttling_exception.ThrottlingException: <p>Exception to notify that requests are being throttled</p>
        capo_trustedadvisor.errors.validation_exception.ValidationException: <p>Exception that the request failed to satisfy service constraints</p>
        capo_trustedadvisor.errors.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        Get a Recommendation by ARN

        >>> client.get_recommendation(recommendation_identifier='arn:aws:trustedadvisor::000000000000:recommendation/55fa4d2e-bbb7-491a-833b-5773e9589578')
    """

    def _handler(
        req: "OperationRequest[capo_trustedadvisor.types.get_recommendation_request.GetRecommendationRequest]",
    ) -> OperationResponse[
        "capo_trustedadvisor.types.get_recommendation_response.GetRecommendationResponse"
    ]:
        import capo_trustedadvisor._operations.trusted_advisor.get_recommendation

        output, http_response = (
            capo_trustedadvisor._operations.trusted_advisor.get_recommendation.get_recommendation(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_trustedadvisor.types.get_recommendation_response.GetRecommendationResponse",
    ) -> dict[str, Any]:
        import capo_trustedadvisor.types.get_recommendation_response

        return (
            capo_trustedadvisor.types.get_recommendation_response.redact_sensitive(
                output
            )
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("GetRecommendation", redact_output=_redact_output),
    )
    input_: capo_trustedadvisor.types.get_recommendation_request.GetRecommendationRequest = {
        "recommendation_identifier": recommendation_identifier
    }
    if language is not None:
        input_["language"] = language

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