llm_tutorial / .venv /lib /python3.11 /site-packages /ray /client_builder.py
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import importlib
import inspect
import json
import logging
import os
import sys
import warnings
from dataclasses import dataclass
from typing import Any, Dict, Optional, Tuple
import ray.util.client_connect
from ray._private.ray_constants import (
RAY_ADDRESS_ENVIRONMENT_VARIABLE,
RAY_NAMESPACE_ENVIRONMENT_VARIABLE,
RAY_RUNTIME_ENV_ENVIRONMENT_VARIABLE,
)
from ray._private.utils import check_ray_client_dependencies_installed, split_address
from ray._private.worker import BaseContext
from ray._private.worker import init as ray_driver_init
from ray.job_config import JobConfig
from ray.util.annotations import Deprecated, PublicAPI
logger = logging.getLogger(__name__)
CLIENT_DOCS_URL = (
"https://docs.ray.io/en/latest/cluster/running-applications/"
"job-submission/ray-client.html"
)
@dataclass
@PublicAPI
class ClientContext(BaseContext):
"""
Basic context manager for a ClientBuilder connection.
`protocol_version` is no longer used.
"""
dashboard_url: Optional[str]
python_version: str
ray_version: str
ray_commit: str
_num_clients: int
_context_to_restore: Optional[ray.util.client.RayAPIStub]
protocol_version: Optional[str] = None # Deprecated
def __enter__(self) -> "ClientContext":
self._swap_context()
return self
def __exit__(self, *exc) -> None:
self._disconnect_with_context(False)
self._swap_context()
def disconnect(self) -> None:
self._swap_context()
self._disconnect_with_context(True)
self._swap_context()
def _swap_context(self):
if self._context_to_restore is not None:
self._context_to_restore = ray.util.client.ray.set_context(
self._context_to_restore
)
def _disconnect_with_context(self, force_disconnect: bool) -> None:
"""
Disconnect Ray. If it's a ray client and created with `allow_multiple`,
it will do nothing. For other cases this either disconnects from the
remote Client Server or shuts the current driver down.
"""
if ray.util.client.ray.is_connected():
if ray.util.client.ray.is_default() or force_disconnect:
# This is the only client connection
ray.util.client_connect.disconnect()
elif ray._private.worker.global_worker.node is None:
# Already disconnected.
return
elif ray._private.worker.global_worker.node.is_head():
logger.debug(
"The current Ray Cluster is scoped to this process. "
"Disconnecting is not possible as it will shutdown the "
"cluster."
)
else:
# This is only a driver connected to an existing cluster.
ray.shutdown()
@Deprecated
class ClientBuilder:
"""
Builder for a Ray Client connection. This class can be subclassed by
custom builder classes to modify connection behavior to include additional
features or altered semantics. One example is the ``_LocalClientBuilder``.
"""
def __init__(self, address: Optional[str]) -> None:
if not check_ray_client_dependencies_installed():
raise ValueError(
"Ray Client requires pip package `ray[client]`. "
"If you installed the minimal Ray (e.g. `pip install ray`), "
"please reinstall by executing `pip install ray[client]`."
)
self.address = address
self._job_config = JobConfig()
self._remote_init_kwargs = {}
# Whether to allow connections to multiple clusters"
# " (allow_multiple=True).
self._allow_multiple_connections = False
self._credentials = None
self._metadata = None
# Set to False if ClientBuilder is being constructed by internal
# methods
self._deprecation_warn_enabled = True
def env(self, env: Dict[str, Any]) -> "ClientBuilder":
"""
Set an environment for the session.
Args:
env (Dict[st, Any]): A runtime environment to use for this
connection. See :ref:`runtime-environments` for what values are
accepted in this dict.
"""
self._job_config.set_runtime_env(env)
return self
def namespace(self, namespace: str) -> "ClientBuilder":
"""
Sets the namespace for the session.
Args:
namespace: Namespace to use.
"""
self._job_config.set_ray_namespace(namespace)
return self
def connect(self) -> ClientContext:
"""
Begin a connection to the address passed in via ray.client(...).
Returns:
ClientInfo: Dataclass with information about the setting. This
includes the server's version of Python & Ray as well as the
dashboard_url.
"""
if self._deprecation_warn_enabled:
self._client_deprecation_warn()
# Fill runtime env/namespace from environment if not already set.
# Should be done *after* the deprecation warning, since warning will
# check if those values are already set.
self._fill_defaults_from_env()
# If it has already connected to the cluster with allow_multiple=True,
# connect to the default one is not allowed.
# But if it has connected to the default one, connect to other clients
# with allow_multiple=True is allowed
default_cli_connected = ray.util.client.ray.is_connected()
has_cli_connected = ray.util.client.num_connected_contexts() > 0
if (
not self._allow_multiple_connections
and not default_cli_connected
and has_cli_connected
):
raise ValueError(
"The client has already connected to the cluster "
"with allow_multiple=True. Please set allow_multiple=True"
" to proceed"
)
old_ray_cxt = None
if self._allow_multiple_connections:
old_ray_cxt = ray.util.client.ray.set_context(None)
client_info_dict = ray.util.client_connect.connect(
self.address,
job_config=self._job_config,
_credentials=self._credentials,
ray_init_kwargs=self._remote_init_kwargs,
metadata=self._metadata,
)
dashboard_url = ray.util.client.ray._get_dashboard_url()
cxt = ClientContext(
dashboard_url=dashboard_url,
python_version=client_info_dict["python_version"],
ray_version=client_info_dict["ray_version"],
ray_commit=client_info_dict["ray_commit"],
_num_clients=client_info_dict["num_clients"],
_context_to_restore=ray.util.client.ray.get_context(),
)
if self._allow_multiple_connections:
ray.util.client.ray.set_context(old_ray_cxt)
return cxt
def _fill_defaults_from_env(self):
# Check environment variables for default values
namespace_env_var = os.environ.get(RAY_NAMESPACE_ENVIRONMENT_VARIABLE)
if namespace_env_var and self._job_config.ray_namespace is None:
self.namespace(namespace_env_var)
runtime_env_var = os.environ.get(RAY_RUNTIME_ENV_ENVIRONMENT_VARIABLE)
if runtime_env_var and self._job_config.runtime_env is None:
self.env(json.loads(runtime_env_var))
def _init_args(self, **kwargs) -> "ClientBuilder":
"""
When a client builder is constructed through ray.init, for example
`ray.init(ray://..., namespace=...)`, all of the
arguments passed into ray.init with non-default values are passed
again into this method. Custom client builders can override this method
to do their own handling/validation of arguments.
"""
# Use namespace and runtime_env from ray.init call
if kwargs.get("namespace") is not None:
self.namespace(kwargs["namespace"])
del kwargs["namespace"]
if kwargs.get("runtime_env") is not None:
self.env(kwargs["runtime_env"])
del kwargs["runtime_env"]
if kwargs.get("allow_multiple") is True:
self._allow_multiple_connections = True
del kwargs["allow_multiple"]
if "_credentials" in kwargs.keys():
self._credentials = kwargs["_credentials"]
del kwargs["_credentials"]
if "_metadata" in kwargs.keys():
self._metadata = kwargs["_metadata"]
del kwargs["_metadata"]
if kwargs:
expected_sig = inspect.signature(ray_driver_init)
extra_args = set(kwargs.keys()).difference(expected_sig.parameters.keys())
if len(extra_args) > 0:
raise RuntimeError(
"Got unexpected kwargs: {}".format(", ".join(extra_args))
)
self._remote_init_kwargs = kwargs
unknown = ", ".join(kwargs)
logger.info(
"Passing the following kwargs to ray.init() "
f"on the server: {unknown}"
)
return self
def _client_deprecation_warn(self) -> None:
"""
Generates a warning for user's if this ClientBuilder instance was
created directly or through ray.client, instead of relying on
internal methods (ray.init, or auto init)
"""
namespace = self._job_config.ray_namespace
runtime_env = self._job_config.runtime_env
replacement_args = []
if self.address:
if isinstance(self, _LocalClientBuilder):
# Address might be set for LocalClientBuilder if ray.client()
# is called while ray_current_cluster is set
# (see _get_builder_from_address). In this case,
# leave off the ray:// so the user attaches the driver directly
replacement_args.append(f'"{self.address}"')
else:
replacement_args.append(f'"ray://{self.address}"')
if namespace:
replacement_args.append(f'namespace="{namespace}"')
if runtime_env:
# Use a placeholder here, since the real runtime_env would be
# difficult to read if formatted in directly
replacement_args.append("runtime_env=<your_runtime_env>")
args_str = ", ".join(replacement_args)
replacement_call = f"ray.init({args_str})"
# Note: stack level is set to 3 since we want the warning to reach the
# call to ray.client(...).connect(). The intervening frames are
# connect() -> client_deprecation_warn() -> warnings.warn()
# https://docs.python.org/3/library/warnings.html#available-functions
warnings.warn(
"Starting a connection through `ray.client` will be deprecated "
"in future ray versions in favor of `ray.init`. See the docs for "
f"more details: {CLIENT_DOCS_URL}. You can replace your call to "
"`ray.client().connect()` with the following:\n"
f" {replacement_call}\n",
DeprecationWarning,
stacklevel=3,
)
class _LocalClientBuilder(ClientBuilder):
def connect(self) -> ClientContext:
"""
Begin a connection to the address passed in via ray.client(...)
"""
if self._deprecation_warn_enabled:
self._client_deprecation_warn()
# Fill runtime env/namespace from environment if not already set.
# Should be done *after* the deprecation warning, since warning will
# check if those values are already set.
self._fill_defaults_from_env()
connection_dict = ray.init(address=self.address, job_config=self._job_config)
return ClientContext(
dashboard_url=connection_dict["webui_url"],
python_version="{}.{}.{}".format(
sys.version_info[0], sys.version_info[1], sys.version_info[2]
),
ray_version=ray.__version__,
ray_commit=ray.__commit__,
_num_clients=1,
_context_to_restore=None,
)
def _split_address(address: str) -> Tuple[str, str]:
"""
Splits address into a module string (scheme) and an inner_address.
If the scheme is not present, then "ray://" is prepended to the address.
"""
if "://" not in address:
address = "ray://" + address
return split_address(address)
def _get_builder_from_address(address: Optional[str]) -> ClientBuilder:
if address == "local":
return _LocalClientBuilder("local")
if address is None:
# NOTE: This is not placed in `Node::get_temp_dir_path`, because
# this file is accessed before the `Node` object is created.
address = ray._private.services.canonicalize_bootstrap_address(address)
return _LocalClientBuilder(address)
module_string, inner_address = _split_address(address)
try:
module = importlib.import_module(module_string)
except Exception as e:
raise RuntimeError(
f"Module: {module_string} does not exist.\n"
f"This module was parsed from Address: {address}"
) from e
assert "ClientBuilder" in dir(
module
), f"Module: {module_string} does not have ClientBuilder."
return module.ClientBuilder(inner_address)
@Deprecated
def client(
address: Optional[str] = None, _deprecation_warn_enabled: bool = True
) -> ClientBuilder:
"""
Creates a ClientBuilder based on the provided address. The address can be
of the following forms:
* None: Connects to or creates a local cluster and connects to it.
* ``"local"``: Creates a new cluster locally and connects to it.
* ``"IP:Port"``: Connects to a Ray Client Server at the given address.
* ``"module://inner_address"``: load module.ClientBuilder & pass
inner_address
The _deprecation_warn_enabled flag enables deprecation warnings, and is
for internal use only. Set it to False to suppress client deprecation
warnings.
"""
env_address = os.environ.get(RAY_ADDRESS_ENVIRONMENT_VARIABLE)
if env_address and address is None:
logger.debug(
f"Using address ({env_address}) instead of auto-detection "
f"because {RAY_ADDRESS_ENVIRONMENT_VARIABLE} is set."
)
address = env_address
builder = _get_builder_from_address(address)
# Disable client deprecation warn when ray.client is used internally
builder._deprecation_warn_enabled = _deprecation_warn_enabled
return builder