Example #1
0
def shutdown() -> None:
    """Completely shut down the connected Serve instance.

    Shuts down all processes and deletes all state associated with the
    instance.
    """

    try:
        client = get_global_client()
    except RayServeException:
        logger.info("Nothing to shut down. There's no Serve application "
                    "running on this Ray cluster.")
        return

    client.shutdown()
    set_global_client(None)
Example #2
0
def start(
    detached: bool = False,
    http_options: Optional[Union[dict, HTTPOptions]] = None,
    dedicated_cpu: bool = False,
    _checkpoint_path: str = DEFAULT_CHECKPOINT_PATH,
    **kwargs,
) -> ServeControllerClient:
    """Initialize a serve instance.

    By default, the instance will be scoped to the lifetime of the returned
    Client object (or when the script exits). If detached is set to True, the
    instance will instead persist until serve.shutdown() is called. This is
    only relevant if connecting to a long-running Ray cluster (e.g., with
    ray.init(address="auto") or ray.init("ray://<remote_addr>")).

    Args:
        detached: Whether not the instance should be detached from this
          script. If set, the instance will live on the Ray cluster until it is
          explicitly stopped with serve.shutdown().
        http_options (Optional[Dict, serve.HTTPOptions]): Configuration options
          for HTTP proxy. You can pass in a dictionary or HTTPOptions object
          with fields:

            - host(str, None): Host for HTTP servers to listen on. Defaults to
              "127.0.0.1". To expose Serve publicly, you probably want to set
              this to "0.0.0.0".
            - port(int): Port for HTTP server. Defaults to 8000.
            - root_path(str): Root path to mount the serve application
              (for example, "/serve"). All deployment routes will be prefixed
              with this path. Defaults to "".
            - middlewares(list): A list of Starlette middlewares that will be
              applied to the HTTP servers in the cluster. Defaults to [].
            - location(str, serve.config.DeploymentMode): The deployment
              location of HTTP servers:

                - "HeadOnly": start one HTTP server on the head node. Serve
                  assumes the head node is the node you executed serve.start
                  on. This is the default.
                - "EveryNode": start one HTTP server per node.
                - "NoServer" or None: disable HTTP server.
            - num_cpus (int): The number of CPU cores to reserve for each
              internal Serve HTTP proxy actor.  Defaults to 0.
        dedicated_cpu: Whether to reserve a CPU core for the internal
          Serve controller actor.  Defaults to False.
    """
    usage_lib.record_library_usage("serve")

    http_deprecated_args = ["http_host", "http_port", "http_middlewares"]
    for key in http_deprecated_args:
        if key in kwargs:
            raise ValueError(
                f"{key} is deprecated, please use serve.start(http_options="
                f'{{"{key}": {kwargs[key]}}}) instead.')
    # Initialize ray if needed.
    ray._private.worker.global_worker.filter_logs_by_job = False
    if not ray.is_initialized():
        ray.init(namespace=SERVE_NAMESPACE)

    try:
        client = get_global_client(_health_check_controller=True)
        logger.info(
            f'Connecting to existing Serve app in namespace "{SERVE_NAMESPACE}".'
        )

        _check_http_and_checkpoint_options(client, http_options,
                                           _checkpoint_path)
        return client
    except RayServeException:
        pass

    if detached:
        controller_name = SERVE_CONTROLLER_NAME
    else:
        controller_name = format_actor_name(get_random_letters(),
                                            SERVE_CONTROLLER_NAME)

    if isinstance(http_options, dict):
        http_options = HTTPOptions.parse_obj(http_options)
    if http_options is None:
        http_options = HTTPOptions()

    controller = ServeController.options(
        num_cpus=1 if dedicated_cpu else 0,
        name=controller_name,
        lifetime="detached" if detached else None,
        max_restarts=-1,
        max_task_retries=-1,
        # Pin Serve controller on the head node.
        resources={
            get_current_node_resource_key(): 0.01
        },
        namespace=SERVE_NAMESPACE,
        max_concurrency=CONTROLLER_MAX_CONCURRENCY,
    ).remote(
        controller_name,
        http_options,
        _checkpoint_path,
        detached=detached,
    )

    proxy_handles = ray.get(controller.get_http_proxies.remote())
    if len(proxy_handles) > 0:
        try:
            ray.get(
                [handle.ready.remote() for handle in proxy_handles.values()],
                timeout=HTTP_PROXY_TIMEOUT,
            )
        except ray.exceptions.GetTimeoutError:
            raise TimeoutError(
                f"HTTP proxies not available after {HTTP_PROXY_TIMEOUT}s.")

    client = ServeControllerClient(
        controller,
        controller_name,
        detached=detached,
    )
    set_global_client(client)
    logger.info(f"Started{' detached ' if detached else ' '}Serve instance in "
                f'namespace "{SERVE_NAMESPACE}".')
    return client