list_studios ¶

def list_studios(
    self,
    *,
    config_overrides: Optional[EMRClientConfig] = None,
    marker: Optional["capo_emr.types.marker.Marker"] = None,
) -> "capo_emr.types.list_studios_output.ListStudiosOutput":
    """<p>Returns a list of all Amazon EMR Studios associated with the Amazon Web Services account. The list includes details such as ID, Studio Access URL, and creation time for each Studio.</p>

    Args:
        marker: <p>The pagination token that indicates the set of results to retrieve.</p>

    Raises:
        capo_emr.errors.internal_server_exception.InternalServerException: <p>This exception occurs when there is an internal failure in the Amazon EMR service.</p>
        capo_emr.errors.invalid_request_exception.InvalidRequestException: <p>This exception occurs when there is something wrong with user input.</p>
        capo_emr.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_emr.types.list_studios_input.ListStudiosInput]",
    ) -> OperationResponse["capo_emr.types.list_studios_output.ListStudiosOutput"]:
        import capo_emr._operations.elastic_map_reduce.list_studios

        output, http_response = (
            capo_emr._operations.elastic_map_reduce.list_studios.list_studios(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListStudios")
    )
    input_: capo_emr.types.list_studios_input.ListStudiosInput = {}
    if marker is not None:
        input_["marker"] = marker

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