get_resource_dashboard async ¶

async def get_resource_dashboard(
    self,
    application_id: "capo_emr_serverless.types.application_id.ApplicationId",
    resource_id: "capo_emr_serverless.types.resource_id.ResourceId",
    resource_type: "capo_emr_serverless.types.resource_type.ResourceType",
    *,
    config_overrides: Optional[AsyncEMRServerlessClientConfig] = None,
    access_system_profile_logs: Optional[bool] = None,
) -> "capo_emr_serverless.types.get_resource_dashboard_response.GetResourceDashboardResponse":
    """<p>Returns a URL that you can use to access the application UIs for a specified resource, such as a session.</p> <p>For resources in a running state, the application UI is a live user interface such as the Spark web UI. For terminated resources, the application UI is a persistent application user interface such as the Spark History Server.</p> <note> <p>The URL is valid for one hour after you generate it. To access the application UI after that hour elapses, you must invoke the API again to generate a new URL.</p> </note>

    Args:
        application_id: <p>The ID of the application that the resource belongs to.</p>
        resource_id: <p>The ID of the resource.</p>
        resource_type: <p>The type of resource to access the dashboard for. Currently, only <code>Session</code> is supported.</p>
        access_system_profile_logs: <p>Allows access to system profile logs for Lake Formation-enabled sessions. Default is false.</p>

    Raises:
        capo_emr_serverless.errors.internal_server_exception.InternalServerException: <p>Request processing failed because of an error or failure with the service.</p>
        capo_emr_serverless.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
        capo_emr_serverless.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by an Amazon Web Services service.</p>
        capo_emr_serverless.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_emr_serverless.types.get_resource_dashboard_request.GetResourceDashboardRequest]",
    ) -> AsyncOperationResponse[
        "capo_emr_serverless.types.get_resource_dashboard_response.GetResourceDashboardResponse"
    ]:
        import capo_emr_serverless._operations.aws_toledo_web_service.get_resource_dashboard

        (
            output,
            http_response,
        ) = await capo_emr_serverless._operations.aws_toledo_web_service.get_resource_dashboard.async_get_resource_dashboard(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetResourceDashboard")
    )
    input_: capo_emr_serverless.types.get_resource_dashboard_request.GetResourceDashboardRequest = {
        "application_id": application_id,
        "resource_id": resource_id,
        "resource_type": resource_type,
    }
    if access_system_profile_logs is not None:
        input_["access_system_profile_logs"] = access_system_profile_logs

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output