wehub-resource-sync
145 lines
5.0 KiB
Python
145 lines
5.0 KiB
Python
import asyncio
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import inspect
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import logging
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from dataclasses import dataclass, field
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from typing import TYPE_CHECKING, Any, Callable, Dict, Optional, Tuple, Type, Union
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if TYPE_CHECKING:
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from ray.llm._internal.common.utils.download_utils import NodeModelDownloadable
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from ray.llm._internal.serve.core.configs.llm_config import LLMConfig
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logger = logging.getLogger(__name__)
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@dataclass
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class CallbackCtx:
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"""
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Context object passed to all callback hooks.
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Callbacks can read and modify fields as needed.
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"""
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worker_node_download_model: Optional["NodeModelDownloadable"] = None
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"""Model download configuration for worker nodes. Used to specify how
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models should be downloaded and cached on worker nodes in distributed
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deployments."""
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placement_group: Optional[Any] = None
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"""Ray placement group for resource allocation and scheduling. Controls
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where and how resources are allocated across the cluster."""
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runtime_env: Optional[Dict[str, Any]] = None
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"""Runtime environment configuration for the Ray workers. Includes
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dependencies, environment variables, and other runtime settings."""
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custom_data: Dict[str, Any] = field(default_factory=dict)
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"""Flexible dictionary for callback-specific state and data. Allows
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callbacks to store and share custom information during initialization."""
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run_init_node: bool = True
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"""Whether to run model downloads during initialization. Set to False
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to skip downloading models."""
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class CallbackBase:
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"""Base class for custom initialization implementations.
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This class defines the interface for custom initialization logic
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for LLMEngine to be called in node_initialization.
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"""
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def __init__(
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self,
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llm_config: "LLMConfig",
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raise_error_on_callback: bool = True,
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ctx_kwargs: Optional[Dict[str, Any]] = None,
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**kwargs,
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):
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self.raise_error_on_callback = raise_error_on_callback
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self.kwargs = kwargs
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self.llm_config = llm_config
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# Create and store CallbackCtx internally using ctx_kwargs
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ctx_kwargs = ctx_kwargs or {}
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self.ctx = CallbackCtx(**ctx_kwargs)
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async def on_before_node_init(self) -> None:
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"""Called before node initialization begins."""
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pass
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async def on_after_node_init(self) -> None:
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"""Called after node initialization completes."""
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pass
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def on_before_download_model_files_distributed(self) -> None:
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"""Called before model files are downloaded on each node."""
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pass
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def _get_method(self, method_name: str) -> Tuple[Callable, bool]:
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"""Get a callback method."""
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if not hasattr(self, method_name):
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raise AttributeError(
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f"Callback {type(self).__name__} does not have method '{method_name}'"
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)
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return getattr(self, method_name), inspect.iscoroutinefunction(
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getattr(self, method_name)
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)
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def _handle_callback_error(self, method_name: str, e: Exception) -> None:
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if self.raise_error_on_callback:
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raise Exception(
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f"Error running callback method '{method_name}' on {type(self).__name__}: {str(e)}"
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) from e
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else:
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logger.error(
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f"Error running callback method '{method_name}' on {type(self).__name__}: {str(e)}"
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)
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async def run_callback(self, method_name: str) -> None:
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"""Run a callback method either synchronously or asynchronously.
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Args:
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method_name: The name of the method to call on the callback
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Returns:
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None
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"""
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method, is_async = self._get_method(method_name)
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try:
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if is_async:
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await method()
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else:
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method()
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except Exception as e:
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self._handle_callback_error(method_name, e)
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def run_callback_sync(self, method_name: str) -> None:
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"""Run a callback method synchronously
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Args:
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method_name: The name of the method to call on the callback
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Returns:
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None
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"""
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method, is_async = self._get_method(method_name)
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try:
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if is_async:
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try:
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loop = asyncio.get_running_loop()
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loop.run_until_complete(method())
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except RuntimeError:
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asyncio.run(method())
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else:
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method()
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except Exception as e:
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self._handle_callback_error(method_name, e)
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@dataclass
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class CallbackConfig:
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"""Configuration for the callback to be used in LLMConfig"""
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callback_class: Union[str, Type[CallbackBase]] = CallbackBase
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"""Class to use for the callback. Can be custom user defined class"""
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callback_kwargs: Dict[str, Any] = field(default_factory=dict)
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"""Keyword arguments to pass to the Callback class at construction."""
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raise_error_on_callback: bool = True
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"""Whether to raise an error if a callback method fails."""
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