run_fleet_advisor_lsa_analysis ¶

def run_fleet_advisor_lsa_analysis(
    self, *, config_overrides: Optional[DatabaseMigrationServiceClientConfig] = None
) -> "capo_database_migration_service.types.run_fleet_advisor_lsa_analysis_response.RunFleetAdvisorLsaAnalysisResponse":
    """<important> <p> End of support notice: On May 20, 2026, Amazon Web Services will end support for Amazon Web Services DMS Fleet Advisor;. After May 20, 2026, you will no longer be able to access the Amazon Web Services DMS Fleet Advisor; console or Amazon Web Services DMS Fleet Advisor; resources. For more information, see <a href="https://docs.aws.amazon.com/dms/latest/userguide/dms_fleet.advisor-end-of-support.html">Amazon Web Services DMS Fleet Advisor end of support</a>. </p> </important> <p>Runs large-scale assessment (LSA) analysis on every Fleet Advisor collector in your account.</p>

    Raises:
        capo_database_migration_service.errors.invalid_resource_state_fault.InvalidResourceStateFault: <p>The resource is in a state that prevents it from being used for database migration.</p>
        capo_database_migration_service.errors.resource_not_found_fault.ResourceNotFoundFault: <p>The resource could not be found.</p>
        capo_database_migration_service.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[None]",
    ) -> OperationResponse[
        "capo_database_migration_service.types.run_fleet_advisor_lsa_analysis_response.RunFleetAdvisorLsaAnalysisResponse"
    ]:
        import capo_database_migration_service._operations.amazon_dm_sv20160101.run_fleet_advisor_lsa_analysis

        output, http_response = (
            capo_database_migration_service._operations.amazon_dm_sv20160101.run_fleet_advisor_lsa_analysis.run_fleet_advisor_lsa_analysis(
                req.options
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("RunFleetAdvisorLsaAnalysis")
    )

    response = execute_pipeline(
        OperationRequest(input=None, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output