iter_list_mlflow_tracking_servers ¶

def iter_list_mlflow_tracking_servers(
    self,
    *,
    config_overrides: Optional[SageMakerClientConfig] = 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,
) -> "Iterator[capo_sagemaker.types.tracking_server_summary.TrackingServerSummary]":
    _token = next_token
    while True:
        _response = self.list_mlflow_tracking_servers(
            config_overrides=config_overrides,
            created_after=created_after,
            created_before=created_before,
            tracking_server_status=tracking_server_status,
            mlflow_version=mlflow_version,
            sort_by=sort_by,
            sort_order=sort_order,
            next_token=_token,
            max_results=max_results,
        )
        _page = _resolve_path(_response, ("tracking_server_summaries",))
        for _item in _page or []:
            yield _item
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break