list_mlflow_tracking_servers async ¶

async def list_mlflow_tracking_servers(
    self,
    *,
    config_overrides: Optional[AsyncSageMakerClientConfig] = None,
    created_after: Optional["capo_sagemaker.types.timestamp.Timestamp"] = None,
    created_before: Optional["capo_sagemaker.types.timestamp.Timestamp"] = None,
    tracking_server_status: Optional[
        "capo_sagemaker.types.tracking_server_status.TrackingServerStatus"
    ] = None,
    mlflow_version: Optional[
        "capo_sagemaker.types.mlflow_version.MlflowVersion"
    ] = None,
    sort_by: Optional[
        "capo_sagemaker.types.sort_tracking_server_by.SortTrackingServerBy"
    ] = None,
    sort_order: Optional["capo_sagemaker.types.sort_order.SortOrder"] = None,
    next_token: Optional["capo_sagemaker.types.next_token.NextToken"] = None,
    max_results: Optional["capo_sagemaker.types.max_results.MaxResults"] = None,
) -> "capo_sagemaker.types.list_mlflow_tracking_servers_response.ListMlflowTrackingServersResponse":
    """<p>Lists all MLflow Tracking Servers.</p>

    Args:
        created_after: <p>Use the <code>CreatedAfter</code> filter to only list tracking servers created after a specific date and time. Listed tracking servers are shown with a date and time such as <code>"2024-03-16T01:46:56+00:00"</code>. The <code>CreatedAfter</code> parameter takes in a Unix timestamp. To convert a date and time into a Unix timestamp, see <a href="https://www.epochconverter.com/">EpochConverter</a>.</p>
        created_before: <p>Use the <code>CreatedBefore</code> filter to only list tracking servers created before a specific date and time. Listed tracking servers are shown with a date and time such as <code>"2024-03-16T01:46:56+00:00"</code>. The <code>CreatedBefore</code> parameter takes in a Unix timestamp. To convert a date and time into a Unix timestamp, see <a href="https://www.epochconverter.com/">EpochConverter</a>.</p>
        tracking_server_status: <p>Filter for tracking servers with a specified creation status.</p>
        mlflow_version: <p>Filter for tracking servers using the specified MLflow version.</p>
        sort_by: <p>Filter for trackings servers sorting by name, creation time, or creation status.</p>
        sort_order: <p>Change the order of the listed tracking servers. By default, tracking servers are listed in <code>Descending</code> order by creation time. To change the list order, you can specify <code>SortOrder</code> to be <code>Ascending</code>.</p>
        next_token: <p>If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.</p>
        max_results: <p>The maximum number of tracking servers to list.</p>

    Raises:
        capo_sagemaker.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_sagemaker.types.list_mlflow_tracking_servers_request.ListMlflowTrackingServersRequest]",
    ) -> AsyncOperationResponse[
        "capo_sagemaker.types.list_mlflow_tracking_servers_response.ListMlflowTrackingServersResponse"
    ]:
        import capo_sagemaker._operations.sage_maker.list_mlflow_tracking_servers

        (
            output,
            http_response,
        ) = await capo_sagemaker._operations.sage_maker.list_mlflow_tracking_servers.async_list_mlflow_tracking_servers(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListMlflowTrackingServers")
    )
    input_: capo_sagemaker.types.list_mlflow_tracking_servers_request.ListMlflowTrackingServersRequest = {}
    if created_after is not None:
        input_["created_after"] = created_after
    if created_before is not None:
        input_["created_before"] = created_before
    if tracking_server_status is not None:
        input_["tracking_server_status"] = tracking_server_status
    if mlflow_version is not None:
        input_["mlflow_version"] = mlflow_version
    if sort_by is not None:
        input_["sort_by"] = sort_by
    if sort_order is not None:
        input_["sort_order"] = sort_order
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

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