# SPDX-License-Identifier: Apache-2.0
import asyncio
import contextlib
import json
import queue
import uuid
import weakref
from abc import ABC, abstractmethod
from collections import deque
from collections.abc import Awaitable, Sequence
from concurrent.futures import Future
from dataclasses import dataclass, field
from threading import Thread
from typing import Any, Callable, Optional, TypeVar, Union

import zmq
import zmq.asyncio

from vllm.config import VllmConfig
from vllm.logger import init_logger
from vllm.lora.request import LoRARequest
from vllm.utils import (get_open_zmq_inproc_path, get_open_zmq_ipc_path,
                        make_zmq_socket)
from vllm.v1.engine import (EngineCoreOutputs, EngineCoreRequest,
                            EngineCoreRequestType, UtilityOutput)
from vllm.v1.engine.core import EngineCore, EngineCoreProc
from vllm.v1.engine.exceptions import EngineDeadError
from vllm.v1.executor.abstract import Executor
from vllm.v1.serial_utils import MsgpackDecoder, MsgpackEncoder, bytestr
from vllm.v1.utils import BackgroundProcHandle

logger = init_logger(__name__)

AnyFuture = Union[asyncio.Future[Any], Future[Any]]

_R = TypeVar('_R')  # Return type for collective_rpc

STARTUP_POLL_PERIOD_MS = 10000


class EngineCoreClient(ABC):
    """
    EngineCoreClient: subclasses handle different methods for pushing 
        and pulling from the EngineCore for asyncio / multiprocessing.

    Subclasses:
    * InprocClient: In process EngineCore (for V0-style LLMEngine use)
    * SyncMPClient: ZMQ + background proc EngineCore (for LLM)
    * AsyncMPClient: ZMQ + background proc EngineCore w/ asyncio (for AsyncLLM)
    """

    @staticmethod
    def make_client(
        multiprocess_mode: bool,
        asyncio_mode: bool,
        vllm_config: VllmConfig,
        executor_class: type[Executor],
        log_stats: bool,
    ) -> "EngineCoreClient":

        # TODO: support this for debugging purposes.
        if asyncio_mode and not multiprocess_mode:
            raise NotImplementedError(
                "Running EngineCore in asyncio without multiprocessing "
                "is not currently supported.")

        if multiprocess_mode and asyncio_mode:
            if vllm_config.parallel_config.data_parallel_size > 1:
                return DPAsyncMPClient(vllm_config, executor_class, log_stats)

            return AsyncMPClient(vllm_config, executor_class, log_stats)

        if multiprocess_mode and not asyncio_mode:
            return SyncMPClient(vllm_config, executor_class, log_stats)

        return InprocClient(vllm_config, executor_class, log_stats)

    @abstractmethod
    def shutdown(self):
        ...

    def get_output(self) -> EngineCoreOutputs:
        raise NotImplementedError

    def add_request(self, request: EngineCoreRequest) -> None:
        raise NotImplementedError

    def profile(self, is_start: bool = True) -> None:
        raise NotImplementedError

    def reset_prefix_cache(self) -> None:
        raise NotImplementedError

    def sleep(self, level: int = 1) -> None:
        raise NotImplementedError

    def wake_up(self, tags: Optional[list[str]] = None) -> None:
        raise NotImplementedError

    def is_sleeping(self) -> bool:
        raise NotImplementedError

    def execute_dummy_batch(self) -> None:
        raise NotImplementedError

    async def execute_dummy_batch_async(self) -> None:
        raise NotImplementedError

    def abort_requests(self, request_ids: list[str]) -> None:
        raise NotImplementedError

    def add_lora(self, lora_request: LoRARequest) -> bool:
        raise NotImplementedError

    def remove_lora(self, lora_id: int) -> bool:
        raise NotImplementedError

    def list_loras(self) -> set[int]:
        raise NotImplementedError

    def pin_lora(self, lora_id: int) -> bool:
        raise NotImplementedError

    def save_sharded_state(self,
                           path: str,
                           pattern: Optional[str] = None,
                           max_size: Optional[int] = None) -> None:
        raise NotImplementedError

    def collective_rpc(self,
                       method: Union[str, Callable[..., _R]],
                       timeout: Optional[float] = None,
                       args: tuple = (),
                       kwargs: Optional[dict[str, Any]] = None) -> list[_R]:
        raise NotImplementedError

    async def get_output_async(self) -> EngineCoreOutputs:
        raise NotImplementedError

    async def add_request_async(self, request: EngineCoreRequest) -> None:
        raise NotImplementedError

    async def profile_async(self, is_start: bool = True) -> None:
        raise NotImplementedError

    async def reset_prefix_cache_async(self) -> None:
        raise NotImplementedError

    async def sleep_async(self, level: int = 1) -> None:
        raise NotImplementedError

    async def wake_up_async(self, tags: Optional[list[str]] = None) -> None:
        raise NotImplementedError

    async def is_sleeping_async(self) -> bool:
        raise NotImplementedError

    async def abort_requests_async(self, request_ids: list[str]) -> None:
        raise NotImplementedError

    async def add_lora_async(self, lora_request: LoRARequest) -> bool:
        raise NotImplementedError

    async def remove_lora_async(self, lora_id: int) -> bool:
        raise NotImplementedError

    async def list_loras_async(self) -> set[int]:
        raise NotImplementedError

    async def pin_lora_async(self, lora_id: int) -> bool:
        raise NotImplementedError

    async def save_sharded_state_async(self,
                                       path: str,
                                       pattern: Optional[str] = None,
                                       max_size: Optional[int] = None) -> None:
        raise NotImplementedError

    async def collective_rpc_async(
            self,
            method: Union[str, Callable[..., _R]],
            timeout: Optional[float] = None,
            args: tuple = (),
            kwargs: Optional[dict[str, Any]] = None) -> list[_R]:
        raise NotImplementedError


class InprocClient(EngineCoreClient):
    """
    InprocClient: client for in-process EngineCore. Intended 
    for use in LLMEngine for V0-style add_request() and step()
        EngineCore setup in this process (no busy loop).

        * pushes EngineCoreRequest directly into the EngineCore
        * pulls EngineCoreOutputs by stepping the EngineCore
    """

    def __init__(self, *args, **kwargs):
        self.engine_core = EngineCore(*args, **kwargs)

    def get_output(self) -> EngineCoreOutputs:
        return self.engine_core.step()

    def add_request(self, request: EngineCoreRequest) -> None:
        self.engine_core.add_request(request)

    def abort_requests(self, request_ids: list[str]) -> None:
        if len(request_ids) > 0:
            self.engine_core.abort_requests(request_ids)

    def shutdown(self) -> None:
        self.engine_core.shutdown()

    def profile(self, is_start: bool = True) -> None:
        self.engine_core.profile(is_start)

    def reset_prefix_cache(self) -> None:
        self.engine_core.reset_prefix_cache()

    def sleep(self, level: int = 1) -> None:
        self.engine_core.sleep(level)

    def wake_up(self, tags: Optional[list[str]] = None) -> None:
        self.engine_core.wake_up(tags)

    def is_sleeping(self) -> bool:
        return self.engine_core.is_sleeping()

    def execute_dummy_batch(self) -> None:
        self.engine_core.execute_dummy_batch()

    def add_lora(self, lora_request: LoRARequest) -> bool:
        return self.engine_core.add_lora(lora_request)

    def remove_lora(self, lora_id: int) -> bool:
        return self.engine_core.remove_lora(lora_id)

    def list_loras(self) -> set[int]:
        return self.engine_core.list_loras()

    def pin_lora(self, lora_id: int) -> bool:
        return self.engine_core.pin_lora(lora_id)

    def save_sharded_state(self,
                           path: str,
                           pattern: Optional[str] = None,
                           max_size: Optional[int] = None) -> None:
        self.engine_core.save_sharded_state(path, pattern, max_size)

    def collective_rpc(self,
                       method: Union[str, Callable[..., _R]],
                       timeout: Optional[float] = None,
                       args: tuple = (),
                       kwargs: Optional[dict[str, Any]] = None) -> list[_R]:
        return self.engine_core.collective_rpc(method, timeout, args, kwargs)


class CoreEngine:
    """One per data parallel rank."""

    def __init__(
        self,
        vllm_config: VllmConfig,
        executor_class: type[Executor],
        log_stats: bool,
        input_path: str,
        output_path: str,
        index: int = 0,
        local_dp_rank: int = 0,
    ):
        self.index = index
        self.identity = index.to_bytes(length=2, byteorder="little")
        try:
            # Start EngineCore in background process.
            self.proc_handle = BackgroundProcHandle(
                input_path=input_path,
                output_path=output_path,
                process_name=f"EngineCore_{index}",
                target_fn=EngineCoreProc.run_engine_core,
                process_kwargs={
                    "vllm_config": vllm_config,
                    "dp_rank": index,
                    "local_dp_rank": local_dp_rank,
                    "executor_class": executor_class,
                    "log_stats": log_stats,
                })

            self.num_reqs_in_flight = 0
        finally:
            if not hasattr(self, "num_reqs_in_flight"):
                # Ensure socket is closed if process fails to start.
                self.close()

    def close(self):
        if proc_handle := getattr(self, "proc_handle", None):
            proc_handle.shutdown()


@dataclass
class BackgroundResources:
    """Used as a finalizer for clean shutdown, avoiding
    circular reference back to the client object."""

    ctx: Union[zmq.Context]
    core_engines: list[CoreEngine] = field(default_factory=list)
    output_socket: Optional[Union[zmq.Socket, zmq.asyncio.Socket]] = None
    input_socket: Optional[Union[zmq.Socket, zmq.asyncio.Socket]] = None
    output_queue_task: Optional[asyncio.Task] = None
    shutdown_path: Optional[str] = None

    # Set if any of the engines are dead. Here so that the output
    # processing threads can access it without holding a ref to the client.
    engine_dead: bool = False

    def __call__(self):
        """Clean up background resources."""

        self.engine_dead = True
        for core_engine in self.core_engines:
            core_engine.close()

        if self.output_queue_task is not None:
            self.output_queue_task.cancel()

        # ZMQ context termination can hang if the sockets
        # aren't explicitly closed first.
        if self.output_socket is not None:
            self.output_socket.close(linger=0)
        if self.input_socket is not None:
            self.input_socket.close(linger=0)
        if self.shutdown_path is not None:
            # We must ensure that the sync output socket is
            # closed cleanly in its own thread.
            with self.ctx.socket(zmq.PAIR) as shutdown_sender:
                shutdown_sender.connect(self.shutdown_path)
                # Send shutdown signal.
                shutdown_sender.send(b'')

    def validate_alive(self, frames: Sequence[zmq.Frame]):
        if len(frames) == 1 and (frames[0].buffer
                                 == EngineCoreProc.ENGINE_CORE_DEAD):
            self.engine_dead = True
            raise EngineDeadError()


class MPClient(EngineCoreClient):
    """
    MPClient: base client for multi-proc EngineCore.
        EngineCore runs in a background process busy loop, getting
        new EngineCoreRequests and returning EngineCoreOutputs

        * pushes EngineCoreRequests via input_socket
        * pulls EngineCoreOutputs via output_socket
    
        * AsyncMPClient subclass for AsyncLLM usage
        * SyncMPClient subclass for LLM usage
    """

    def __init__(
        self,
        asyncio_mode: bool,
        vllm_config: VllmConfig,
        executor_class: type[Executor],
        log_stats: bool,
    ):
        self.vllm_config = vllm_config
        # Serialization setup.
        self.encoder = MsgpackEncoder()
        self.decoder = MsgpackDecoder(EngineCoreOutputs)

        # ZMQ setup.
        sync_ctx = zmq.Context(io_threads=2)
        self.ctx = zmq.asyncio.Context(sync_ctx) if asyncio_mode else sync_ctx

        # This will ensure resources created so far are closed
        # when the client is garbage collected, even if an
        # exception is raised mid-construction.
        self.resources = BackgroundResources(ctx=sync_ctx)
        self._finalizer = weakref.finalize(self, self.resources)
        success = False
        try:
            # Paths and sockets for IPC.
            self.output_path = get_open_zmq_ipc_path()
            input_path = get_open_zmq_ipc_path()
            self.input_socket = make_zmq_socket(self.ctx,
                                                input_path,
                                                zmq.ROUTER,
                                                bind=True)
            self.resources.input_socket = self.input_socket

            new_core_engine = lambda index, local_dp_rank=None: CoreEngine(
                vllm_config, executor_class, log_stats, input_path, self.
                output_path, index, local_dp_rank)

            # Start engine core process(es).
            self._init_core_engines(vllm_config, new_core_engine,
                                    self.resources.core_engines)

            # Wait for engine core process(es) to start.
            self._wait_for_engine_startup()

            self.utility_results: dict[int, AnyFuture] = {}

            # Request objects which may contain pytorch-allocated tensors
            # that we need to keep references to until zmq is done with the
            # underlying data.
            self.pending_messages = deque[tuple[zmq.MessageTracker, Any]]()

            success = True
        finally:
            if not success:
                self._finalizer()

    def _wait_for_engine_startup(self):
        # Get a sync handle to the socket which can be sync or async.
        sync_input_socket = zmq.Socket.shadow(self.input_socket)

        # Wait for engine core process(es) to send ready messages.
        identities = set(eng.index for eng in self.resources.core_engines)
        poller = zmq.Poller()
        poller.register(sync_input_socket, zmq.POLLIN)
        for eng in self.resources.core_engines:
            poller.register(eng.proc_handle, zmq.POLLIN)
        while identities:
            events = poller.poll(STARTUP_POLL_PERIOD_MS)
            if not events:
                logger.debug("Waiting for %d core engine proc(s) to start: %s",
                             len(identities), identities)
                continue
            if len(events) > 1 or events[0][0] != sync_input_socket:
                # One of the core processes exited.
                raise RuntimeError("Engine core initialization failed. "
                                   "See root cause above.")

            eng_id_bytes, data = sync_input_socket.recv_multipart()
            eng_id = int.from_bytes(eng_id_bytes, byteorder="little")
            if eng_id not in identities:
                raise RuntimeError(f"Unexpected or duplicate engine: {eng_id}")
            message_dict = json.loads(data.decode('utf-8'))
            if message_dict['type'] != 'READY':
                raise RuntimeError(f"Engine {eng_id} failed: {data.decode()}")
            logger.info("Core engine process %d ready.", eng_id)
            identities.discard(eng_id)
            # Setup KV cache config with initialization state from
            # engine core process.
            self.vllm_config.cache_config.num_gpu_blocks = message_dict[
                'num_gpu_blocks']

    def _init_core_engines(
        self,
        vllm_config: VllmConfig,
        new_core_engine: Callable[[int, Optional[int]], CoreEngine],
        core_engines: list[CoreEngine],
    ) -> None:

        # Default case - single core engine.
        core_engine = new_core_engine(
            vllm_config.parallel_config.data_parallel_rank,
            vllm_config.parallel_config.data_parallel_rank_local,
        )
        core_engines.append(core_engine)
        self.core_engine = core_engine

    def shutdown(self):
        # Terminate background resources.
        self._finalizer()

    def _format_exception(self, e: Exception) -> Exception:
        """If errored, use EngineDeadError so root cause is clear."""
        return EngineDeadError(
            suppress_context=True) if self.resources.engine_dead else e

    def ensure_alive(self):
        if self.resources.engine_dead:
            raise EngineDeadError()

    def add_pending_message(self, tracker: zmq.MessageTracker, msg: Any):
        if not tracker.done:
            self.pending_messages.appendleft((tracker, msg))

    def free_pending_messages(self):
        while self.pending_messages and self.pending_messages[-1][0].done:
            self.pending_messages.pop()


def _process_utility_output(output: UtilityOutput,
                            utility_results: dict[int, AnyFuture]):
    """Set the result from a utility method in the waiting future"""
    future = utility_results.pop(output.call_id)
    if output.failure_message is not None:
        future.set_exception(Exception(output.failure_message))
    else:
        future.set_result(output.result)


class SyncMPClient(MPClient):
    """Synchronous client for multi-proc EngineCore."""

    def __init__(self, vllm_config: VllmConfig, executor_class: type[Executor],
                 log_stats: bool):
        super().__init__(
            asyncio_mode=False,
            vllm_config=vllm_config,
            executor_class=executor_class,
            log_stats=log_stats,
        )

        self.outputs_queue = queue.Queue[Union[EngineCoreOutputs, Exception]]()

        # Ensure that the outputs socket processing thread does not have
        # a ref to the client which prevents gc.
        ctx = self.ctx
        output_path = self.output_path
        decoder = self.decoder
        utility_results = self.utility_results
        outputs_queue = self.outputs_queue

        shutdown_path = get_open_zmq_inproc_path()
        resources = self.resources
        resources.shutdown_path = shutdown_path

        def process_outputs_socket():
            shutdown_socket = ctx.socket(zmq.PAIR)
            out_socket = make_zmq_socket(ctx, output_path, zmq.constants.PULL)
            try:
                shutdown_socket.bind(shutdown_path)
                poller = zmq.Poller()
                poller.register(shutdown_socket)
                poller.register(out_socket)
                while True:
                    socks = poller.poll()
                    if not socks:
                        continue
                    if len(socks) == 2 or socks[0][0] == shutdown_socket:
                        # shutdown signal, exit thread.
                        break

                    frames = out_socket.recv_multipart(copy=False)
                    resources.validate_alive(frames)
                    outputs = decoder.decode(frames)
                    if outputs.utility_output:
                        _process_utility_output(outputs.utility_output,
                                                utility_results)
                    else:
                        outputs_queue.put_nowait(outputs)
            except Exception as e:
                outputs_queue.put_nowait(e)
            finally:
                # Close sockets.
                shutdown_socket.close(linger=0)
                out_socket.close(linger=0)

        # Process outputs from engine in separate thread.
        self.output_queue_thread = Thread(target=process_outputs_socket,
                                          name="EngineCoreOutputQueueThread",
                                          daemon=True)
        self.output_queue_thread.start()

    def get_output(self) -> EngineCoreOutputs:
        # If an exception arises in process_outputs_socket task,
        # it is forwarded to the outputs_queue so we can raise it
        # from this (run_output_handler) task to shut down the server.
        outputs = self.outputs_queue.get()
        if isinstance(outputs, Exception):
            raise self._format_exception(outputs) from None
        return outputs

    def _send_input(self, request_type: EngineCoreRequestType, request: Any):
        self.ensure_alive()
        self.free_pending_messages()
        # (Identity, RequestType, SerializedRequest)
        msg = (self.core_engine.identity, request_type.value,
               *self.encoder.encode(request))

        if len(msg) <= 3:
            # No auxiliary buffers => no tensor backing buffers in request.
            self.input_socket.send_multipart(msg, copy=False)
            return

        tracker = self.input_socket.send_multipart(msg, copy=False, track=True)
        self.add_pending_message(tracker, request)

    def call_utility(self, method: str, *args) -> Any:
        call_id = uuid.uuid1().int >> 64
        future: Future[Any] = Future()
        self.utility_results[call_id] = future
        self._send_input(EngineCoreRequestType.UTILITY,
                         (call_id, method, args))

        return future.result()

    def add_request(self, request: EngineCoreRequest) -> None:
        self._send_input(EngineCoreRequestType.ADD, request)

    def abort_requests(self, request_ids: list[str]) -> None:
        if request_ids and not self.resources.engine_dead:
            self._send_input(EngineCoreRequestType.ABORT, request_ids)

    def profile(self, is_start: bool = True) -> None:
        self.call_utility("profile", is_start)

    def reset_prefix_cache(self) -> None:
        self.call_utility("reset_prefix_cache")

    def add_lora(self, lora_request: LoRARequest) -> bool:
        return self.call_utility("add_lora", lora_request)

    def remove_lora(self, lora_id: int) -> bool:
        return self.call_utility("remove_lora", lora_id)

    def list_loras(self) -> set[int]:
        return self.call_utility("list_loras")

    def pin_lora(self, lora_id: int) -> bool:
        return self.call_utility("pin_lora", lora_id)

    def sleep(self, level: int = 1) -> None:
        self.call_utility("sleep", level)

    def wake_up(self, tags: Optional[list[str]] = None) -> None:
        self.call_utility("wake_up", tags)

    def is_sleeping(self) -> bool:
        return self.call_utility("is_sleeping")

    def execute_dummy_batch(self) -> None:
        self.call_utility("execute_dummy_batch")

    def collective_rpc(self,
                       method: Union[str, Callable[..., _R]],
                       timeout: Optional[float] = None,
                       args: tuple = (),
                       kwargs: Optional[dict[str, Any]] = None) -> list[_R]:
        return self.call_utility("collective_rpc", method, timeout, args,
                                 kwargs)

    def save_sharded_state(self,
                           path: str,
                           pattern: Optional[str] = None,
                           max_size: Optional[int] = None) -> None:
        self.call_utility("save_sharded_state", path, pattern, max_size)


class AsyncMPClient(MPClient):
    """Asyncio-compatible client for multi-proc EngineCore."""

    def __init__(self, vllm_config: VllmConfig, executor_class: type[Executor],
                 log_stats: bool):
        super().__init__(
            asyncio_mode=True,
            vllm_config=vllm_config,
            executor_class=executor_class,
            log_stats=log_stats,
        )

        self.outputs_queue = asyncio.Queue[Union[EngineCoreOutputs,
                                                 Exception]]()
        try:
            # If we are running in an asyncio event loop, start the queue task.
            # Otherwise, it will be started lazily. If it is not started here,
            # we could miss EXECUTOR_FAILED messages from engine core if they
            # occur prior to any requests being sent.
            asyncio.get_running_loop()
            self._ensure_output_queue_task()
        except RuntimeError:
            pass

    def _ensure_output_queue_task(self):
        resources = self.resources
        if resources.output_queue_task is not None:
            return

        # Perform IO in separate task to parallelize as much as possible.
        # Avoid task having direct reference back to the client.
        decoder = self.decoder
        utility_results = self.utility_results
        outputs_queue = self.outputs_queue
        output_handler: Optional[Callable[[AsyncMPClient, EngineCoreOutputs],
                                          Awaitable[None]]] = getattr(
                                              self.__class__,
                                              "process_engine_outputs", None)
        _self_ref = weakref.ref(self) if output_handler else None
        output_path = self.output_path
        output_socket = make_zmq_socket(self.ctx, output_path,
                                        zmq.constants.PULL)
        resources.output_socket = output_socket

        async def process_outputs_socket():
            try:
                while True:
                    frames = await output_socket.recv_multipart(copy=False)
                    resources.validate_alive(frames)
                    outputs: EngineCoreOutputs = decoder.decode(frames)
                    if outputs.utility_output:
                        _process_utility_output(outputs.utility_output,
                                                utility_results)
                        continue

                    if output_handler is not None:
                        assert _self_ref is not None
                        _self = _self_ref()
                        if not _self:
                            # Client has been garbage collected, abort.
                            return
                        await output_handler(_self, outputs)

                    if outputs.outputs or outputs.scheduler_stats:
                        outputs_queue.put_nowait(outputs)
            except Exception as e:
                outputs_queue.put_nowait(e)

        resources.output_queue_task = asyncio.create_task(
            process_outputs_socket(), name="EngineCoreOutputQueueTask")

    async def get_output_async(self) -> EngineCoreOutputs:
        self._ensure_output_queue_task()
        # If an exception arises in process_outputs_socket task,
        # it is forwarded to the outputs_queue so we can raise it
        # from this (run_output_handler) task to shut down the server.
        assert self.outputs_queue is not None
        outputs = await self.outputs_queue.get()
        if isinstance(outputs, Exception):
            raise self._format_exception(outputs) from None
        return outputs

    def _send_input(self,
                    request_type: EngineCoreRequestType,
                    request: Any,
                    engine: Optional[CoreEngine] = None) -> Awaitable[Any]:
        self.ensure_alive()
        if engine is None:
            engine = self.core_engine

        message = (request_type.value, *self.encoder.encode(request))
        return self._send_input_message(message, engine, request)

    def _send_input_message(self, message: tuple[bytestr,
                                                 ...], engine: CoreEngine,
                            objects: Any) -> Awaitable[Any]:
        """
        objects is a reference to retain until zmq is finished with the
        buffers, in case they were extracted from tensors in the request.
        """
        self.ensure_alive()
        self.free_pending_messages()

        msg = (engine.identity, ) + message
        if not objects or len(msg) <= 3:
            # No auxiliary buffers => no tensor backing buffers in request.
            return self.input_socket.send_multipart(msg, copy=False)

        future: asyncio.Future[zmq.MessageTracker]
        future = self.input_socket.send_multipart(msg, copy=False, track=True)

        def add_pending(f: asyncio.Future[zmq.MessageTracker]):
            with contextlib.suppress(BaseException):
                self.add_pending_message(f.result(), objects)

        future.add_done_callback(add_pending)
        return future

    async def call_utility_async(self, method: str, *args) -> Any:
        return await self._call_utility_async(method,
                                              *args,
                                              engine=self.core_engine)

    async def _call_utility_async(self, method: str, *args,
                                  engine: CoreEngine) -> Any:
        call_id = uuid.uuid1().int >> 64
        future = asyncio.get_running_loop().create_future()
        self.utility_results[call_id] = future
        message = (EngineCoreRequestType.UTILITY.value, *self.encoder.encode(
            (call_id, method, args)))
        await self._send_input_message(message, engine, args)
        self._ensure_output_queue_task()
        return await future

    async def add_request_async(self, request: EngineCoreRequest) -> None:
        await self._send_input(EngineCoreRequestType.ADD, request)
        self._ensure_output_queue_task()

    async def abort_requests_async(self, request_ids: list[str]) -> None:
        if request_ids and not self.resources.engine_dead:
            await self._send_input(EngineCoreRequestType.ABORT, request_ids)

    async def profile_async(self, is_start: bool = True) -> None:
        await self.call_utility_async("profile", is_start)

    async def reset_prefix_cache_async(self) -> None:
        await self.call_utility_async("reset_prefix_cache")

    async def sleep_async(self, level: int = 1) -> None:
        await self.call_utility_async("sleep", level)

    async def wake_up_async(self, tags: Optional[list[str]] = None) -> None:
        await self.call_utility_async("wake_up", tags)

    async def is_sleeping_async(self) -> bool:
        return await self.call_utility_async("is_sleeping")

    async def execute_dummy_batch_async(self) -> None:
        await self.call_utility_async("execute_dummy_batch")

    async def add_lora_async(self, lora_request: LoRARequest) -> bool:
        return await self.call_utility_async("add_lora", lora_request)

    async def remove_lora_async(self, lora_id: int) -> bool:
        return await self.call_utility_async("remove_lora", lora_id)

    async def list_loras_async(self) -> set[int]:
        return await self.call_utility_async("list_loras")

    async def pin_lora_async(self, lora_id: int) -> bool:
        return await self.call_utility_async("pin_lora", lora_id)

    async def save_sharded_state_async(self,
                                       path: str,
                                       pattern: Optional[str] = None,
                                       max_size: Optional[int] = None) -> None:
        await self.call_utility_async("save_sharded_state", path, pattern,
                                      max_size)

    async def collective_rpc_async(
            self,
            method: Union[str, Callable[..., _R]],
            timeout: Optional[float] = None,
            args: tuple = (),
            kwargs: Optional[dict[str, Any]] = None) -> list[_R]:
        return await self.call_utility_async("collective_rpc", method, timeout,
                                             args, kwargs)


class DPAsyncMPClient(AsyncMPClient):
    """Asyncio-compatible client for multi-proc, multi-engine (data parallel)
    EngineCore."""

    def __init__(self, vllm_config: VllmConfig, executor_class: type[Executor],
                 log_stats: bool):

        self.current_wave = 0
        self.engines_running = False
        self.reqs_in_flight: dict[str, CoreEngine] = {}

        super().__init__(vllm_config, executor_class, log_stats)

        assert len(self.core_engines) > 1

    def _init_core_engines(
        self,
        vllm_config: VllmConfig,
        new_core_engine: Callable[[int, Optional[int]], CoreEngine],
        core_engines: list[CoreEngine],
    ) -> None:

        # Launch a core engine for each data parallel rank.
        dp_size = vllm_config.parallel_config.data_parallel_size
        for i in range(dp_size):
            # Multi-node not yet supported so local_dp_rank == dp_rank.
            core_engines.append(new_core_engine(i, i))

        self.core_engines = core_engines

    async def call_utility_async(self, method: str, *args) -> Any:
        # Only the result from the first engine is returned.
        return (await asyncio.gather(*[
            self._call_utility_async(method, *args, engine=engine)
            for engine in self.core_engines
        ]))[0]

    async def add_request_async(self, request: EngineCoreRequest) -> None:
        request.current_wave = self.current_wave

        chosen_engine = self.get_core_engine_for_request()
        self.reqs_in_flight[request.request_id] = chosen_engine
        chosen_engine.num_reqs_in_flight += 1

        to_await = self._send_input(EngineCoreRequestType.ADD, request,
                                    chosen_engine)
        if not self.engines_running:
            # Send request to chosen engine and dp start loop
            # control message to all other engines.
            self.engines_running = True
            to_await = asyncio.gather(
                to_await,  # type: ignore[assignment]
                *self._start_wave_coros(exclude_index=chosen_engine.index))

        await to_await

        self._ensure_output_queue_task()

    def get_core_engine_for_request(self) -> CoreEngine:
        return min(self.core_engines, key=lambda e: e.num_reqs_in_flight)

    @staticmethod
    async def process_engine_outputs(self: "DPAsyncMPClient",
                                     outputs: EngineCoreOutputs):
        if self.reqs_in_flight:
            for req_id in outputs.finished_requests or ():
                if engine := self.reqs_in_flight.pop(req_id, None):
                    engine.num_reqs_in_flight -= 1

        if outputs.wave_complete is not None:
            # Current wave is complete, move to next wave number
            # and mark engines as paused.
            if self.current_wave <= outputs.wave_complete:
                self.current_wave = outputs.wave_complete + 1
                self.engines_running = False

        elif outputs.start_wave is not None and (
                outputs.start_wave > self.current_wave or
            (outputs.start_wave == self.current_wave
             and not self.engines_running)):
            # Engine received request for a non-current wave so we must ensure
            # that other engines progress to the next wave.
            self.current_wave = outputs.start_wave
            self.engines_running = True
            await asyncio.gather(*self._start_wave_coros(
                exclude_index=outputs.engine_index))

    def _start_wave_coros(self, exclude_index: int) -> list[Awaitable[None]]:
        logger.debug("Sending start DP wave %d.", self.current_wave)
        return [
            self._send_input(EngineCoreRequestType.START_DP_WAVE,
                             self.current_wave, engine)
            for engine in self.core_engines if engine.index != exclude_index
        ]

    async def abort_requests_async(self, request_ids: list[str]) -> None:
        if not request_ids:
            return

        if len(request_ids) == 1:
            # Fast-path common case.
            if engine := self.reqs_in_flight.get(request_ids[0]):
                await self._abort_requests(request_ids, engine)
            return

        by_engine: dict[CoreEngine, list[str]] = {}
        for req_id in request_ids:
            if engine := self.reqs_in_flight.get(req_id):
                by_engine.setdefault(engine, []).append(req_id)
        for engine, req_ids in by_engine.items():
            await self._abort_requests(req_ids, engine)

    async def _abort_requests(self, request_ids: list[str],
                              engine: CoreEngine) -> None:
        if not self.resources.engine_dead:
            await self._send_input(EngineCoreRequestType.ABORT, request_ids,
                                   engine)
