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# SPDX-License-Identifier: Apache-2.0
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# http://www.apache.org/licenses/LICENSE-2.0
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import asyncio
from argparse import Namespace
from enum import Enum
from typing import AsyncIterator

import uvloop
from common.protocol import Tokens
from vllm.logger import logger as vllm_logger

from triton_distributed.llm import KvRouter
from triton_distributed.runtime import (
    DistributedRuntime,
    triton_endpoint,
    triton_worker,
)

WorkerId = str


class RoutingStrategy(Enum):
    PREFIX = "prefix"
    ROUND_ROBIN = "round_robin"
    RANDOM = "random"


class Router:
    """
    Request handler for the generate endpoint
    """

    def __init__(
        self,
        router: KvRouter,
        routing_strategy: RoutingStrategy = RoutingStrategy.PREFIX,
    ):
        vllm_logger.info(
            f"Initializing KV Router with strategy: {routing_strategy.value}"
        )
        self.router = router
        self.routing_strategy = routing_strategy

    @triton_endpoint(Tokens, WorkerId)
    async def generate(self, request) -> AsyncIterator[WorkerId]:
        lora_id = 0
        worker_id = None
        if self.routing_strategy == RoutingStrategy.PREFIX:
            try:
                worker_id = await self.router.schedule(request.tokens, lora_id)
            # [NOTE][TODO] Now that the scheduler may return more error messages,
            # now we are catching all exceptions and logging them. Should have
            # catch specific router exceptions once we have dedicated types.
            except Exception as e:
                vllm_logger.info(f"{e}")
                worker_id = ""
                vllm_logger.exception(f"Error during worker selection: {e}")

            vllm_logger.info(f"Scheduling to worker_id: {worker_id}")

            yield str(worker_id)

        else:
            # TODO: Do we implement round_robin and random here?
            # or just skip this router and directly enable in preprocess?
            raise NotImplementedError(
                f"Routing strategy {self.routing_strategy} not implemented"
            )


@triton_worker()
async def worker(runtime: DistributedRuntime, args: Namespace):
    """
    Set up the worker clients.
    Serve the triton-init.router.generate endpoint.
    """
    workers_client = (
        await runtime.namespace("triton-init")
        .component("vllm")
        .endpoint("generate")
        .client()
    )
    wait_task = workers_client.wait_for_endpoints()
    await asyncio.sleep(1)

    while not wait_task.done():
        vllm_logger.info("Waiting for workers to be ready...")
        await asyncio.sleep(5)

    wait_task.result()

    while len(workers_client.endpoint_ids()) < args.min_workers:
        vllm_logger.info(
            f"Waiting for more workers... Current: {len(workers_client.endpoint_ids())}, Required: {args.min_workers}"
        )
        await asyncio.sleep(5)

    vllm_logger.info(
        f"Required number of workers ({args.min_workers}) are ready:\n"
        + "\n".join(f"id: {id}" for id in workers_client.endpoint_ids())
    )

    kv_listener = runtime.namespace("triton-init").component("vllm")
    await kv_listener.create_service()

    router_component = runtime.namespace("triton-init").component("router")
    await router_component.create_service()

    router = KvRouter(runtime, kv_listener)

    endpoint = router_component.endpoint("generate")
    await endpoint.serve_endpoint(Router(router, args.routing_strategy).generate)


if __name__ == "__main__":
    uvloop.install()

    import argparse

    parser = argparse.ArgumentParser()
    parser.add_argument(
        "--routing-strategy",
        type=RoutingStrategy,
        default=RoutingStrategy.PREFIX,
        choices=list(RoutingStrategy),
        help="Routing strategy to use",
    )
    parser.add_argument(
        "--min-workers",
        type=int,
        default=1,
        help="Minimum number of workers required before proceeding",
    )
    parser.add_argument(
        "--model-name",
        type=str,
        default="deepseek-ai/DeepSeek-R1-Distill-Llama-8B",
        help="Model that is being served",
    )
    args = parser.parse_args()

    asyncio.run(worker(args))
